diff options
Diffstat (limited to '20.02/_serializer_8cpp_source.xhtml')
| -rw-r--r-- | 20.02/_serializer_8cpp_source.xhtml | 391 |
1 files changed, 391 insertions, 0 deletions
diff --git a/20.02/_serializer_8cpp_source.xhtml b/20.02/_serializer_8cpp_source.xhtml new file mode 100644 index 0000000000..95cd012251 --- /dev/null +++ b/20.02/_serializer_8cpp_source.xhtml @@ -0,0 +1,391 @@ +<!-- 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/armnnSerializer/Serializer.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('_serializer_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">Serializer.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_serializer_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 "<a class="code" href="_serializer_8hpp.xhtml">Serializer.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_descriptors_8hpp.xhtml">armnn/Descriptors.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_lstm_params_8hpp.xhtml">armnn/LstmParams.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_quantized_lstm_params_8hpp.xhtml">armnn/QuantizedLstmParams.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_ignore_unused_8hpp.xhtml">armnn/utility/IgnoreUnused.hpp</a>></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> <span class="preprocessor">#include <iostream></span></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="preprocessor">#include <boost/numeric/conversion/cast.hpp></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <flatbuffers/util.h></span></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> <span class="preprocessor">#include "<a class="code" href="_serializer_utils_8hpp.xhtml">SerializerUtils.hpp</a>"</span></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> <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a>;</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="keyword">namespace </span>fb = flatbuffers;</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn_serializer.xhtml">serializer</a> = <a class="code" href="namespacearmnn_serializer.xhtml">armnnSerializer</a>;</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> </div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn_serializer.xhtml">armnnSerializer</a></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> {</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="namespacearmnn_serializer.xhtml#aac3bf4453f8a909ca23f290089df8ff1"> 27</a></span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">serializer::ActivationFunction</a> <a class="code" href="namespacearmnn_serializer.xhtml#aac3bf4453f8a909ca23f290089df8ff1">GetFlatBufferActivationFunction</a>(<a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> <span class="keyword">function</span>)</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> {</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordflow">switch</span> (<span class="keyword">function</span>)</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  {</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a>:</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_Sigmoid;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::ActivationFunction::TanH</a>:</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_TanH;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b">armnn::ActivationFunction::Linear</a>:</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_Linear;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a>:</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_ReLu;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a>:</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_BoundedReLu;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735">armnn::ActivationFunction::LeakyReLu</a>:</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_LeakyReLu;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::ActivationFunction::Abs</a>:</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_Abs;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a>:</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_Sqrt;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304">armnn::ActivationFunction::Square</a>:</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_Square;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d">armnn::ActivationFunction::Elu</a>:</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_Elu;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::ActivationFunction::HardSwish</a>:</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_HardSwish;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">return</span> serializer::ActivationFunction::ActivationFunction_Sigmoid;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  }</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> }</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> </div><div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="namespacearmnn_serializer.xhtml#a6fcb1eefde815b0b7465a689c8d26b50"> 58</a></span> <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeae">serializer::ArgMinMaxFunction</a> <a class="code" href="namespacearmnn_serializer.xhtml#a6fcb1eefde815b0b7465a689c8d26b50">GetFlatBufferArgMinMaxFunction</a>(<a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeae">armnn::ArgMinMaxFunction</a> <span class="keyword">function</span>)</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> {</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordflow">switch</span> (<span class="keyword">function</span>)</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  {</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a>:</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">return</span> serializer::ArgMinMaxFunction::ArgMinMaxFunction_Max;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a>:</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">return</span> serializer::ArgMinMaxFunction::ArgMinMaxFunction_Min;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  }</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> }</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> uint32_t SerializerVisitor::GetSerializedId(<a class="code" href="classarmnn_1_1profiling_1_1_profiling_guid.xhtml">armnn::LayerGuid</a> guid)</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> {</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">if</span> (m_guidMap.empty())</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  {</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  m_guidMap.insert(std::make_pair(guid, m_layerId));</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  }</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (m_guidMap.find(guid) == m_guidMap.end())</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  {</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  ++m_layerId;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  m_guidMap.insert(std::make_pair(guid, m_layerId));</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">return</span> m_layerId;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  }</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">return</span> m_guidMap[guid];</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> }</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="comment">// Build FlatBuffer for Input Layer</span></div><div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#ade20ba84b9c46a9afedf0b969f870919"> 87</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitInputLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer, <a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> <span class="keywordtype">id</span>, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> {</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keyword">auto</span> flatBufferInputBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Input);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="comment">// Create FlatBuffer BindableBaseLayer</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keyword">auto</span> flatBufferInputBindableBaseLayer = serializer::CreateBindableLayerBase(m_flatBufferBuilder,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  flatBufferInputBaseLayer,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordtype">id</span>);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// Push layer binding id to outputIds.</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  m_inputIds.push_back(<span class="keywordtype">id</span>);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="comment">// Create the FlatBuffer InputLayer</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keyword">auto</span> flatBufferInputLayer = serializer::CreateInputLayer(m_flatBufferBuilder, flatBufferInputBindableBaseLayer);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  CreateAnyLayer(flatBufferInputLayer.o, serializer::Layer::Layer_InputLayer);</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"> 108</span> <span class="comment">// Build FlatBuffer for Output Layer</span></div><div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a56858f9071c8bf57fdb31a96833ff4bd"> 109</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitOutputLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer, <a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> <span class="keywordtype">id</span>, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> {</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keyword">auto</span> flatBufferOutputBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Output);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="comment">// Create FlatBuffer BindableBaseLayer</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keyword">auto</span> flatBufferOutputBindableBaseLayer = serializer::CreateBindableLayerBase(m_flatBufferBuilder,</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  flatBufferOutputBaseLayer,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordtype">id</span>);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="comment">// Push layer binding id to outputIds.</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  m_outputIds.push_back(<span class="keywordtype">id</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="comment">// Create the FlatBuffer OutputLayer</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keyword">auto</span> flatBufferOutputLayer = serializer::CreateOutputLayer(m_flatBufferBuilder, flatBufferOutputBindableBaseLayer);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  CreateAnyLayer(flatBufferOutputLayer.o, serializer::Layer::Layer_OutputLayer);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> }</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#afb3379853398423f791269433f6bb43c"> 129</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitAbsLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</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>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Abs);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keyword">auto</span> flatBufferAbsLayer = serializer::CreateAbsLayer(m_flatBufferBuilder, flatBufferBaseLayer);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  CreateAnyLayer(flatBufferAbsLayer.o, serializer::Layer::Layer_AbsLayer);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</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> <span class="comment">// Build FlatBuffer for Activation Layer</span></div><div class="line"><a name="l00139"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a3f7b255222c79282f598eb8efefa880b"> 139</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitActivationLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a>& descriptor,</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</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>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</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="comment">// Create FlatBuffer BaseLayer</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Activation);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="comment">// Create the FlatBuffer ActivationDescriptor</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keyword">auto</span> flatBufferDescriptor = CreateActivationDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="namespacearmnn_serializer.xhtml#aac3bf4453f8a909ca23f290089df8ff1">GetFlatBufferActivationFunction</a>(descriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>),</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  descriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a>,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  descriptor.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a>);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="comment">// Create the FlatBuffer ActivationLayer</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keyword">auto</span> flatBufferAdditionLayer = CreateActivationLayer(m_flatBufferBuilder,</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  flatBufferBaseLayer,</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  flatBufferDescriptor);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> </div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  CreateAnyLayer(flatBufferAdditionLayer.o, serializer::Layer::Layer_ActivationLayer);</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> </div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> <span class="comment">// Build FlatBuffer for Addition Layer</span></div><div class="line"><a name="l00164"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a7b608d5a44e36e6cd96e915658d49da3"> 164</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitAdditionLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> {</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</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>  <span class="comment">// Create FlatBuffer BaseLayer</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keyword">auto</span> flatBufferAdditionBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Addition);</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="comment">// Create the FlatBuffer AdditionLayer</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keyword">auto</span> flatBufferAdditionLayer = serializer::CreateAdditionLayer(m_flatBufferBuilder, flatBufferAdditionBaseLayer);</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>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  CreateAnyLayer(flatBufferAdditionLayer.o, serializer::Layer::Layer_AdditionLayer);</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> <span class="comment">// Build FlatBuffer for ArgMinMax Layer</span></div><div class="line"><a name="l00179"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#ad7c76e1781b02bcc685ec87fe071b1fc"> 179</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitArgMinMaxLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a> *layer,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml">armnn::ArgMinMaxDescriptor</a>& descriptor,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> {</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_ArgMinMax);</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="comment">// Create FlatBuffer Descriptor</span></div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keyword">auto</span> flatBufferDescriptor = CreateArgMinMaxDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a6fcb1eefde815b0b7465a689c8d26b50">GetFlatBufferArgMinMaxFunction</a>(descriptor.<a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#ab1ae6f520bb1a4da191a0ae907477f23">m_Function</a>),</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  descriptor.<a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a>);</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> </div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="comment">// Create FlatBuffer ArgMinMaxLayer</span></div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keyword">auto</span> flatBufferLayer = CreateArgMinMaxLayer(m_flatBufferBuilder,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  flatBufferBaseLayer,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  flatBufferDescriptor);</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_ArgMinMaxLayer);</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> }</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> <span class="comment">// Build FlatBuffer for BatchToSpaceNd Layer</span></div><div class="line"><a name="l00202"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a1d1235559a11a1aa63724eba742ad29c"> 202</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitBatchToSpaceNdLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">armnn::BatchToSpaceNdDescriptor</a>& descriptor,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> {</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</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>  <span class="comment">// Create FlatBuffer BaseLayer</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_BatchToSpaceNd);</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  std::vector<unsigned int> crops;</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  crops.reserve(descriptor.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a3941f674c071c9503e00d2b59e92e454">m_Crops</a>.size() * 2);</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& crop : descriptor.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a3941f674c071c9503e00d2b59e92e454">m_Crops</a>)</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  {</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  crops.push_back(crop.first);</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  crops.push_back(crop.second);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  }</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> </div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keyword">auto</span> flatBufferDescriptor =</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  CreateBatchToSpaceNdDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  m_flatBufferBuilder.CreateVector(descriptor.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>),</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  m_flatBufferBuilder.CreateVector(crops),</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(descriptor.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateBatchToSpaceNdLayer(m_flatBufferBuilder,</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  flatBufferBaseLayer,</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  flatBufferDescriptor);</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>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_BatchToSpaceNdLayer);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> }</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> </div><div class="line"><a name="l00232"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a53e3051bacbfc5d901184eb7cb29c8c2"> 232</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitBatchNormalizationLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">armnn::BatchNormalizationDescriptor</a>& batchNormDescriptor,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a>& mean,</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a>& variance,</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a>& beta,</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a>& gamma,</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> {</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</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="keyword">auto</span> fbBatchNormalizationBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_BatchNormalization);</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keyword">auto</span> fbBatchNormalizationDescriptor = serializer::CreateBatchNormalizationDescriptor(</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  m_flatBufferBuilder,</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  batchNormDescriptor.<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">m_Eps</a>,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(batchNormDescriptor.<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</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>  <span class="keyword">auto</span> fbMeanConstTensorInfo = CreateConstTensorInfo(mean);</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keyword">auto</span> fbVarianceConstTensorInfo = CreateConstTensorInfo(variance);</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keyword">auto</span> fbBetaConstTensorInfo = CreateConstTensorInfo(beta);</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keyword">auto</span> fbGammaConstTensorInfo = CreateConstTensorInfo(gamma);</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keyword">auto</span> fbBatchNormalizationLayer = serializer::CreateBatchNormalizationLayer(m_flatBufferBuilder,</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  fbBatchNormalizationBaseLayer,</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  fbBatchNormalizationDescriptor,</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  fbMeanConstTensorInfo,</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  fbVarianceConstTensorInfo,</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  fbBetaConstTensorInfo,</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  fbGammaConstTensorInfo);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  CreateAnyLayer(fbBatchNormalizationLayer.o, serializer::Layer::Layer_BatchNormalizationLayer);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> }</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> </div><div class="line"><a name="l00263"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#afb1afddc0f2cb1caac0daf5bbd13c8c8"> 263</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitComparisonLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml">armnn::ComparisonDescriptor</a>& descriptor,</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> {</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> </div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Comparison);</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keyword">auto</span> fbDescriptor = serializer::CreateComparisonDescriptor(</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  m_flatBufferBuilder,</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a1c88cccaeb232c6fe8022c7006bb21bc">GetFlatBufferComparisonOperation</a>(descriptor.<a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml#a865dc4f43cb0ff01a1dcf78036912fd1">m_Operation</a>));</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span> </div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keyword">auto</span> fbLayer = serializer::CreateComparisonLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor);</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_ComparisonLayer);</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> }</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> </div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> <span class="comment">// Build FlatBuffer for Constant Layer</span></div><div class="line"><a name="l00279"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#ae7bb76117b0e10efef5d3d6637df4480"> 279</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitConstantLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a>& input,</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> {</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> </div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keyword">auto</span> flatBufferConstantBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Constant);</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span> </div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keyword">auto</span> flatBufferConstTensorInfo = CreateConstTensorInfo(input);</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> </div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="comment">// Create the FlatBuffer ConstantLayer</span></div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keyword">auto</span> flatBufferLayer = CreateConstantLayer(m_flatBufferBuilder,</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  flatBufferConstantBaseLayer,</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  flatBufferConstTensorInfo);</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> </div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_ConstantLayer);</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span> }</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span> </div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span> <span class="comment">// Build FlatBuffer for Convolution2dLayer</span></div><div class="line"><a name="l00300"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#af4c7002e267521e7ea0933ef2b767f9e"> 300</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitConvolution2dLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">armnn::Convolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a>& weights,</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<armnn::ConstTensor></a>& biases,</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> {</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span> </div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Convolution2d);</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> </div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keyword">auto</span> flatBufferDescriptor = CreateConvolution2dDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>,</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>,</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>,</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>,</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>,</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>,</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>,</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a>,</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>,</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keyword">auto</span> flatBufferWeightsConstTensorInfo = CreateConstTensorInfo(weights);</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  flatbuffers::Offset<serializer::ConstTensor> flatBufferBiasesConstTensorInfo;</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>  <span class="keywordflow">if</span> (biases.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  {</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  flatBufferBiasesConstTensorInfo = CreateConstTensorInfo(biases.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</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>  <span class="comment">// Create the FlatBuffer Convolution2dLayer</span></div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keyword">auto</span> flatBufferLayer = CreateConvolution2dLayer(m_flatBufferBuilder,</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  flatBufferBaseLayer,</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  flatBufferDescriptor,</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  flatBufferWeightsConstTensorInfo,</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  flatBufferBiasesConstTensorInfo);</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span> </div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_Convolution2dLayer);</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> </div><div class="line"><a name="l00341"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#ac30449d327001492692fa23a666efd7f"> 341</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitDepthToSpaceLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">armnn::DepthToSpaceDescriptor</a>& descriptor,</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> {</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> </div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_DepthToSpace);</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keyword">auto</span> fbDescriptor = CreateDepthToSpaceDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  descriptor.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a>,</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(descriptor.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</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>  <span class="keyword">auto</span> fbLayer = serializer::CreateDepthToSpaceLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor);</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>  CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_DepthToSpaceLayer);</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span> }</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> </div><div class="line"><a name="l00357"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#afd318b4ffed3c04a4807ca2c13077ab7"> 357</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitDepthwiseConvolution2dLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">armnn::DepthwiseConvolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a>& weights,</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<armnn::ConstTensor></a>& biases,</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</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>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span> </div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_DepthwiseConvolution2d);</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keyword">auto</span> fbDescriptor = CreateDepthwiseConvolution2dDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>,</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>,</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>,</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>,</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>,</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>,</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>,</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a>,</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>,</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span> </div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  flatbuffers::Offset<serializer::ConstTensor> fbWeightsConstTensorInfo = CreateConstTensorInfo(weights);</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  flatbuffers::Offset<serializer::ConstTensor> fbBiasesConstTensorInfo;</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keywordflow">if</span> (biases.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  {</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  fbBiasesConstTensorInfo = CreateConstTensorInfo(biases.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  }</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span> </div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="keyword">auto</span> flatBufferLayer = CreateDepthwiseConvolution2dLayer(m_flatBufferBuilder,</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  fbBaseLayer,</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  fbDescriptor,</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  fbWeightsConstTensorInfo,</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  fbBiasesConstTensorInfo);</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span> </div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_DepthwiseConvolution2dLayer);</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span> }</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span> </div><div class="line"><a name="l00394"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a9a502d24112baa19f11c76bc651e0cc0"> 394</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitDequantizeLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> {</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> </div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="keyword">auto</span> fbDequantizeBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Dequantize);</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="keyword">auto</span> fbDequantizeLayer = serializer::CreateDequantizeLayer(m_flatBufferBuilder, fbDequantizeBaseLayer);</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span> </div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  CreateAnyLayer(fbDequantizeLayer.o, serializer::Layer::Layer_DequantizeLayer);</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span> }</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span> </div><div class="line"><a name="l00405"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#ace945f2f1d416b240f9c0344671b17ad"> 405</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitDetectionPostProcessLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml">armnn::DetectionPostProcessDescriptor</a>& descriptor,</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a>& <a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#ac0981848e4ae57729f14f72bd4caa9f8">anchors</a>,</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span> {</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span> </div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_DetectionPostProcess);</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="keyword">auto</span> fbDescriptor = CreateDetectionPostProcessDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014">m_MaxDetections</a>,</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a9ae2c9796692ebeafe19a4d3f09c8ea8">m_MaxClassesPerDetection</a>,</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7e2f87544b8bc7e497e1dec8d3ca4055">m_DetectionsPerClass</a>,</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a4392dd6b4862cc9cf95ae8f1001ba592">m_NmsScoreThreshold</a>,</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a53c8a7f33a40e1e240256bcfcf41b101">m_NmsIouThreshold</a>,</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4">m_NumClasses</a>,</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7ed9bc7c26df67d274d5dd4cd83adf0f">m_UseRegularNms</a>,</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae64523937ea910030ad66fee6fddd51f">m_ScaleX</a>,</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7a2156ec7d9c012ce00bbcc6afcb9028">m_ScaleY</a>,</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ab509802c659de19929f18bad14a35c58">m_ScaleW</a>,</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#aa61510cbd529870182e918ac6e8b9d72">m_ScaleH</a>);</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span> </div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  flatbuffers::Offset<serializer::ConstTensor> fbAnchorsConstTensorInfo = CreateConstTensorInfo(anchors);</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span> </div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keyword">auto</span> flatBufferLayer = CreateDetectionPostProcessLayer(m_flatBufferBuilder,</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  fbBaseLayer,</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  fbDescriptor,</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  fbAnchorsConstTensorInfo);</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span> </div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_DetectionPostProcessLayer);</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span> }</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span> </div><div class="line"><a name="l00436"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a9cc611872dcd6b526c84231e0b6920da"> 436</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitDivisionLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span> {</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span> </div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="keyword">auto</span> fbDivisionBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Division);</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="keyword">auto</span> fbDivisionLayer = serializer::CreateDivisionLayer(m_flatBufferBuilder, fbDivisionBaseLayer);</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span> </div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  CreateAnyLayer(fbDivisionLayer.o, serializer::Layer::Layer_DivisionLayer);</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span> }</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span> </div><div class="line"><a name="l00446"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a2e0686c8a9f4a53f78fd35f83fa77c56"> 446</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitElementwiseUnaryLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">armnn::ElementwiseUnaryDescriptor</a>& descriptor,</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span> {</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span> </div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_ElementwiseUnary);</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="keyword">auto</span> fbDescriptor = serializer::CreateElementwiseUnaryDescriptor(</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  m_flatBufferBuilder,</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <a class="code" href="namespacearmnn_serializer.xhtml#ae4ba1925d55937fdb1770852ff0554bf">GetFlatBufferUnaryOperation</a>(descriptor.<a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#afe768be66897eb3d73284424e3239b23">m_Operation</a>));</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span> </div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="keyword">auto</span> fbLayer = serializer::CreateElementwiseUnaryLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor);</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_ElementwiseUnaryLayer);</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span> }</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span> </div><div class="line"><a name="l00461"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a778b3249ab3704387496d45c39480ecb"> 461</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitEqualLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span> {</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span> </div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Equal);</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <span class="keyword">auto</span> fbEqualLayer = serializer::CreateEqualLayer(m_flatBufferBuilder, fbBaseLayer);</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span> </div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  CreateAnyLayer(fbEqualLayer.o, serializer::Layer::Layer_EqualLayer);</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span> }</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span> </div><div class="line"><a name="l00471"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a64c53003d714d4957829f821a5e4153d"> 471</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitFloorLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a> *layer, <span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span> {</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span> </div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keyword">auto</span> flatBufferFloorBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Floor);</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <span class="keyword">auto</span> flatBufferFloorLayer = serializer::CreateFloorLayer(m_flatBufferBuilder, flatBufferFloorBaseLayer);</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span> </div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  CreateAnyLayer(flatBufferFloorLayer.o, serializer::Layer::Layer_FloorLayer);</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span> }</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span> </div><div class="line"><a name="l00481"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#ad297ae199a9fa61e1fd983d645da6471"> 481</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitGatherLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span> {</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span> </div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keyword">auto</span> fbGatherBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Gather);</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateGatherLayer(m_flatBufferBuilder, fbGatherBaseLayer);</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span> </div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_GatherLayer);</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span> }</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span> </div><div class="line"><a name="l00491"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#ab0d8bc8095f70f4616bc3ace8dd46b02"> 491</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitGreaterLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span> {</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span> </div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="keyword">auto</span> fbGreaterBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Greater);</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <span class="keyword">auto</span> fbGreaterLayer = serializer::CreateGreaterLayer(m_flatBufferBuilder, fbGreaterBaseLayer);</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span> </div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  CreateAnyLayer(fbGreaterLayer.o, serializer::Layer::Layer_GreaterLayer);</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span> }</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span> </div><div class="line"><a name="l00501"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#aae3bf0ab71205ddf8916512ac8330a1e"> 501</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitInstanceNormalizationLayer(</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml">armnn::InstanceNormalizationDescriptor</a>& instanceNormalizationDescriptor,</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span> {</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span> </div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keyword">auto</span> fbDescriptor = serializer::CreateInstanceNormalizationDescriptor(</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  m_flatBufferBuilder,</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  instanceNormalizationDescriptor.<a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a5e078fd505aef7bccaa05c8058e096cc">m_Gamma</a>,</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  instanceNormalizationDescriptor.<a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a>,</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  instanceNormalizationDescriptor.<a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">m_Eps</a>,</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(instanceNormalizationDescriptor.<a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span> </div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_InstanceNormalization);</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keyword">auto</span> fbLayer = serializer::CreateInstanceNormalizationLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor);</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span> </div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_InstanceNormalizationLayer);</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span> }</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span> </div><div class="line"><a name="l00521"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a227d927a30f0700956047d9f65fca813"> 521</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitL2NormalizationLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml">armnn::L2NormalizationDescriptor</a>& l2NormalizationDescriptor,</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span> {</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span> </div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_L2Normalization);</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span> </div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="comment">// Create the FlatBuffer L2Normalization Descriptor</span></div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <span class="keyword">auto</span> fbDescriptor = serializer::CreateL2NormalizationDescriptor(</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  m_flatBufferBuilder,</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(l2NormalizationDescriptor.<a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>),</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  l2NormalizationDescriptor.<a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">m_Eps</a>);</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span> </div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="comment">// Create FlatBuffer layer</span></div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keyword">auto</span> fbLayer = serializer::CreateL2NormalizationLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor);</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span> </div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_L2NormalizationLayer);</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span> }</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span> </div><div class="line"><a name="l00542"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a5c02b1f1028daf64f7c6244ac68b37f5"> 542</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitLogSoftmaxLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::LogSoftmaxDescriptor</a>& logSoftmaxDescriptor,</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span> {</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span> </div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="keyword">auto</span> flatBufferLogSoftmaxBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_LogSoftmax);</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span> </div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="comment">// Create the FlatBuffer LogSoftmaxDescriptor</span></div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keyword">auto</span> flatBufferLogSoftmaxDesc =</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  serializer::CreateLogSoftmaxDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  logSoftmaxDescriptor.<a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a>,</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  logSoftmaxDescriptor.<a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a>);</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span> </div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="comment">// Create the FlatBuffer LogSoftmaxLayer</span></div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="keyword">auto</span> flatBufferLogSoftmaxLayer =</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  serializer::CreateLogSoftmaxLayer(m_flatBufferBuilder,</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  flatBufferLogSoftmaxBaseLayer,</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  flatBufferLogSoftmaxDesc);</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span> </div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  CreateAnyLayer(flatBufferLogSoftmaxLayer.o, serializer::Layer::Layer_LogSoftmaxLayer);</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span> }</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span> </div><div class="line"><a name="l00566"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a2b37a5d520204e4e1652e6d4d38774b3"> 566</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitLstmLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">armnn::LstmDescriptor</a>& descriptor,</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params.xhtml">armnn::LstmInputParams</a>& params,</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span> {</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span> </div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <span class="keyword">auto</span> fbLstmBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Lstm);</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span> </div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="keyword">auto</span> fbLstmDescriptor = serializer::CreateLstmDescriptor(</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  m_flatBufferBuilder,</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ae1b07ed928036004bd257169e5aeeef4">m_ActivationFunc</a>,</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a531a3907ec13d3772370da88030191a5">m_ClippingThresCell</a>,</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a86e88bef0df4df96df752b4b8955a3af">m_ClippingThresProj</a>,</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>,</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>,</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>,</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>);</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span> </div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <span class="comment">// Get mandatory input parameters</span></div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  <span class="keyword">auto</span> inputToForgetWeights = CreateConstTensorInfo(*params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a31da1ead6794dd64571afdd0b6efc771">m_InputToForgetWeights</a>);</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <span class="keyword">auto</span> inputToCellWeights = CreateConstTensorInfo(*params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a49e11acda22742cbaf6f1b259ead0d84">m_InputToCellWeights</a>);</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="keyword">auto</span> inputToOutputWeights = CreateConstTensorInfo(*params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a6e30c7b3451da3ea9cf4259fb602e6e6">m_InputToOutputWeights</a>);</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <span class="keyword">auto</span> recurrentToForgetWeights = CreateConstTensorInfo(*params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ae83131e16df1cace69395a5f99bc5ecb">m_RecurrentToForgetWeights</a>);</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <span class="keyword">auto</span> recurrentToCellWeights = CreateConstTensorInfo(*params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a1759754ccb88ecc9af44f3aae6e244ee">m_RecurrentToCellWeights</a>);</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <span class="keyword">auto</span> recurrentToOutputWeights = CreateConstTensorInfo(*params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a56b81ca8ba4b4937e0787e4951f043fc">m_RecurrentToOutputWeights</a>);</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <span class="keyword">auto</span> forgetGateBias = CreateConstTensorInfo(*params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ace7a1f1f1041b412b7d8ef82b95ff352">m_ForgetGateBias</a>);</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <span class="keyword">auto</span> cellBias = CreateConstTensorInfo(*params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a4a9d678146f572808a361dbdc5489f38">m_CellBias</a>);</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keyword">auto</span> outputGateBias = CreateConstTensorInfo(*params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a8c0f6d48705f40c5590dde09be262222">m_OutputGateBias</a>);</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span> </div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="comment">//Define optional parameters, these will be set depending on configuration in Lstm descriptor</span></div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  flatbuffers::Offset<serializer::ConstTensor> inputToInputWeights;</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  flatbuffers::Offset<serializer::ConstTensor> recurrentToInputWeights;</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  flatbuffers::Offset<serializer::ConstTensor> cellToInputWeights;</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  flatbuffers::Offset<serializer::ConstTensor> inputGateBias;</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  flatbuffers::Offset<serializer::ConstTensor> projectionWeights;</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  flatbuffers::Offset<serializer::ConstTensor> projectionBias;</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  flatbuffers::Offset<serializer::ConstTensor> cellToForgetWeights;</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  flatbuffers::Offset<serializer::ConstTensor> cellToOutputWeights;</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  flatbuffers::Offset<serializer::ConstTensor> inputLayerNormWeights;</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  flatbuffers::Offset<serializer::ConstTensor> forgetLayerNormWeights;</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  flatbuffers::Offset<serializer::ConstTensor> cellLayerNormWeights;</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  flatbuffers::Offset<serializer::ConstTensor> outputLayerNormWeights;</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span> </div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  <span class="keywordflow">if</span> (!descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  {</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  inputToInputWeights = CreateConstTensorInfo(*params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a>);</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  recurrentToInputWeights = CreateConstTensorInfo(*params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a>);</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  cellToInputWeights = CreateConstTensorInfo(*params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a>);</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  inputGateBias = CreateConstTensorInfo(*params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a>);</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  }</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span> </div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  {</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  projectionWeights = CreateConstTensorInfo(*params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a>);</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  projectionBias = CreateConstTensorInfo(*params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a>);</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  }</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span> </div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  {</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  cellToForgetWeights = CreateConstTensorInfo(*params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a>);</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  cellToOutputWeights = CreateConstTensorInfo(*params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a>);</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  }</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span> </div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  {</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <span class="keywordflow">if</span> (!descriptor.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  {</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  inputLayerNormWeights = CreateConstTensorInfo((*params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a>));</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  }</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  forgetLayerNormWeights = CreateConstTensorInfo(*params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a>);</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  cellLayerNormWeights = CreateConstTensorInfo(*params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a>);</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  outputLayerNormWeights = CreateConstTensorInfo(*params.<a class="code" href="structarmnn_1_1_lstm_input_params.xhtml#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a>);</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  }</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span> </div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <span class="keyword">auto</span> fbLstmParams = serializer::CreateLstmInputParams(</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  m_flatBufferBuilder,</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  inputToForgetWeights,</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  inputToCellWeights,</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  inputToOutputWeights,</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  recurrentToForgetWeights,</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  recurrentToCellWeights,</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  recurrentToOutputWeights,</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  forgetGateBias,</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  cellBias,</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  outputGateBias,</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  inputToInputWeights,</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  recurrentToInputWeights,</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  cellToInputWeights,</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  inputGateBias,</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  projectionWeights,</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  projectionBias,</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  cellToForgetWeights,</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  cellToOutputWeights,</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  inputLayerNormWeights,</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  forgetLayerNormWeights,</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  cellLayerNormWeights,</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  outputLayerNormWeights);</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span> </div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <span class="keyword">auto</span> fbLstmLayer = serializer::CreateLstmLayer(</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  m_flatBufferBuilder,</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  fbLstmBaseLayer,</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  fbLstmDescriptor,</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  fbLstmParams);</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span> </div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  CreateAnyLayer(fbLstmLayer.o, serializer::Layer::Layer_LstmLayer);</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span> }</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span> </div><div class="line"><a name="l00674"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a29cb9e904f31bcc86b1ab75d13d343a4"> 674</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitMaximumLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span> {</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span> </div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  <span class="keyword">auto</span> fbMaximumBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Maximum);</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  <span class="keyword">auto</span> fbMaximumLayer = serializer::CreateMaximumLayer(m_flatBufferBuilder, fbMaximumBaseLayer);</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span> </div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  CreateAnyLayer(fbMaximumLayer.o, serializer::Layer::Layer_MaximumLayer);</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span> }</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span> </div><div class="line"><a name="l00684"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a1404339c6c051dc6924a16172db4b3ee"> 684</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitMeanLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml">armnn::MeanDescriptor</a>& descriptor,</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span> {</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span> </div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  <span class="keyword">auto</span> fbMeanBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Mean);</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  <span class="keyword">auto</span> fbMeanDescriptor = serializer::CreateMeanDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  m_flatBufferBuilder.CreateVector(descriptor.<a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a1f0d67b087c491248bd1cde3ff995a95">m_Axis</a>),</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  descriptor.<a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>);</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span> </div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  <span class="keyword">auto</span> fbMeanLayer = serializer::CreateMeanLayer(m_flatBufferBuilder,</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  fbMeanBaseLayer,</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  fbMeanDescriptor);</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span> </div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  CreateAnyLayer(fbMeanLayer.o, serializer::Layer::Layer_MeanLayer);</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span> }</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span> </div><div class="line"><a name="l00702"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a87432c758f53e21892780fc3b10b5c2a"> 702</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitMinimumLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span> {</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span> </div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  <span class="keyword">auto</span> fbMinimumBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Minimum);</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  <span class="keyword">auto</span> fbMinimumLayer = serializer::CreateMinimumLayer(m_flatBufferBuilder, fbMinimumBaseLayer);</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span> </div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  CreateAnyLayer(fbMinimumLayer.o, serializer::Layer::Layer_MinimumLayer);</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span> }</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span> </div><div class="line"><a name="l00712"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#ae91857ae8a9be3557316eb446c40ba98"> 712</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitMergeLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span> {</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span> </div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  <span class="keyword">auto</span> fbMergeBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Merge);</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  <span class="keyword">auto</span> fbMergeLayer = serializer::CreateMergeLayer(m_flatBufferBuilder, fbMergeBaseLayer);</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span> </div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  CreateAnyLayer(fbMergeLayer.o, serializer::Layer::Layer_MergeLayer);</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span> }</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span> </div><div class="line"><a name="l00722"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#ac6013ef93bf6ec846910e019a54cf021"> 722</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitMergerLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">armnn::MergerDescriptor</a>& mergerDescriptor,</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span> {</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  VisitConcatLayer(layer, mergerDescriptor, name);</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span> }</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span> </div><div class="line"><a name="l00729"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a148d342b40eada32d536c2ccda673405"> 729</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitConcatLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">armnn::ConcatDescriptor</a>& concatDescriptor,</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span> {</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span> </div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  <span class="keyword">auto</span> flatBufferConcatBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Concat);</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span> </div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  std::vector<flatbuffers::Offset<UintVector>> views;</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> v = 0; v < concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>(); ++v)</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  {</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  <span class="keyword">const</span> uint32_t* origin = concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#ab78e6fe963508c1ac5c00d04bb3361a3">GetViewOrigin</a>(v);</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  std::vector<uint32_t> origins;</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d < concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>(); ++d)</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  {</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  origins.push_back(origin[d]);</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  }</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  <span class="keyword">auto</span> view = m_flatBufferBuilder.CreateVector(origins);</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  <span class="keyword">auto</span> uintVector = CreateUintVector(m_flatBufferBuilder, view);</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  views.push_back(uintVector);</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  }</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span> </div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  <span class="keyword">auto</span> flatBufferConcatDescriptor = CreateOriginsDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a379929e3b277f1ef94f3ce645870589d">GetConcatAxis</a>(),</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>(),</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>(),</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  m_flatBufferBuilder.CreateVector(views));</div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span> </div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  <span class="keyword">auto</span> flatBufferLayer = CreateConcatLayer(m_flatBufferBuilder,</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  flatBufferConcatBaseLayer,</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  flatBufferConcatDescriptor);</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span> </div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_ConcatLayer);</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span> }</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span> </div><div class="line"><a name="l00764"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a23e516e20d857cd11ce80d0967ae48f3"> 764</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitMultiplicationLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span> {</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span> </div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  <span class="keyword">auto</span> fbMultiplicationBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Multiplication);</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  <span class="keyword">auto</span> fbMultiplicationLayer = serializer::CreateMultiplicationLayer(m_flatBufferBuilder,</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  fbMultiplicationBaseLayer);</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span> </div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  CreateAnyLayer(fbMultiplicationLayer.o, serializer::Layer::Layer_MultiplicationLayer);</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span> }</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span> </div><div class="line"><a name="l00775"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a3569b9af864b7b141b067e7de3902bf3"> 775</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitPadLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml">armnn::PadDescriptor</a>& padDescriptor,</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span> {</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span> </div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Pad);</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span> </div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  std::vector<unsigned int> padList;</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& p: padDescriptor.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>)</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  {</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  padList.push_back(p.first);</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  padList.push_back(p.second);</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  }</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span> </div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  <span class="keyword">auto</span> flatBufferPadDesc = serializer::CreatePadDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  m_flatBufferBuilder.CreateVector(padList),</div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  padDescriptor.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a410fa919f78af0f0f100bd1594eca4ab">m_PadValue</a>);</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span> </div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  <span class="keyword">auto</span> flatBufferPadLayer = serializer::CreatePadLayer(m_flatBufferBuilder,</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  flatBufferBaseLayer,</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  flatBufferPadDesc);</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span> </div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  CreateAnyLayer(flatBufferPadLayer.o, serializer::Layer::Layer_PadLayer);</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span> }</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span> </div><div class="line"><a name="l00801"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#ac81df940ac47b39a703a2cbe017bda8e"> 801</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitPermuteLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml">armnn::PermuteDescriptor</a>& permuteDescriptor,</div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span> {</div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span> </div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  <span class="keyword">auto</span> flatBufferPermuteBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Permute);</div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span> </div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  std::vector<unsigned int> dimMappings;</div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i<permuteDescriptor.<a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>.<a class="code" href="classarmnn_1_1_permutation_vector.xhtml#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>(); ++i)</div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  {</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  dimMappings.push_back(permuteDescriptor.<a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>[i]);</div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  }</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span> </div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  <span class="keyword">auto</span> flatBufferPermuteDesc = serializer::CreatePermuteDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  m_flatBufferBuilder.CreateVector(dimMappings));</div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span> </div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  <span class="comment">// Create the FlatBuffer PermuteLayer</span></div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  <span class="keyword">auto</span> flatBufferPermuteLayer = serializer::CreatePermuteLayer(m_flatBufferBuilder,</div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  flatBufferPermuteBaseLayer,</div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  flatBufferPermuteDesc);</div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span> </div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  CreateAnyLayer(flatBufferPermuteLayer.o, serializer::Layer::Layer_PermuteLayer);</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span> }</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span> </div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span> <span class="comment">// Build FlatBuffer for Reshape Layer</span></div><div class="line"><a name="l00829"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#ada00d4a9cb133fef352290610f257000"> 829</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitReshapeLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml">armnn::ReshapeDescriptor</a>& reshapeDescriptor,</div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span> {</div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span> </div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  <span class="keyword">auto</span> flatBufferReshapeBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Reshape);</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span> </div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  std::vector<unsigned int> targetShape;</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i =0; i < reshapeDescriptor.<a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml#a1178f4dafdda81f59c15145ec327f7d9">m_TargetShape</a>.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); i++)</div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  {</div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  targetShape.push_back(reshapeDescriptor.<a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml#a1178f4dafdda81f59c15145ec327f7d9">m_TargetShape</a>[i]);</div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  }</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span> </div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  <span class="keyword">auto</span> flatBufferReshapeDesc = serializer::CreateReshapeDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  m_flatBufferBuilder.CreateVector(targetShape));</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span> </div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  <span class="comment">// Create the FlatBuffer ReshapeLayer</span></div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  <span class="keyword">auto</span> flatBufferReshapeLayer = serializer::CreateReshapeLayer(m_flatBufferBuilder, flatBufferReshapeBaseLayer,</div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  flatBufferReshapeDesc);</div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span> </div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  CreateAnyLayer(flatBufferReshapeLayer.o, serializer::Layer::Layer_ReshapeLayer);</div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span> }</div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span> </div><div class="line"><a name="l00855"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#afa243ee90086da1e8270b8391dd8f221"> 855</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitResizeBilinearLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_resize_bilinear_descriptor.xhtml">armnn::ResizeBilinearDescriptor</a>& resizeDescriptor,</div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span> {</div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span> </div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_ResizeBilinear);</div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span> </div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  <span class="keyword">auto</span> flatBufferDescriptor =</div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  CreateResizeBilinearDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  resizeDescriptor.<a class="code" href="structarmnn_1_1_resize_bilinear_descriptor.xhtml#adcf5037208faac36c0788239a073f75c">m_TargetWidth</a>,</div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  resizeDescriptor.<a class="code" href="structarmnn_1_1_resize_bilinear_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">m_TargetHeight</a>,</div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(resizeDescriptor.<a class="code" href="structarmnn_1_1_resize_bilinear_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span> </div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateResizeBilinearLayer(m_flatBufferBuilder,</div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  flatBufferBaseLayer,</div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  flatBufferDescriptor);</div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span> </div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_ResizeBilinearLayer);</div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span> }</div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span> </div><div class="line"><a name="l00876"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#ad7df3f2ae8cbb23bb8651fff4d079718"> 876</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitResizeLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml">armnn::ResizeDescriptor</a>& resizeDescriptor,</div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span> {</div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00881"></a><span class="lineno"> 881</span> </div><div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Resize);</div><div class="line"><a name="l00883"></a><span class="lineno"> 883</span> </div><div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  <span class="keyword">auto</span> flatBufferDescriptor =</div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  CreateResizeDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  resizeDescriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">m_TargetHeight</a>,</div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  resizeDescriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#adcf5037208faac36c0788239a073f75c">m_TargetWidth</a>,</div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a255a85366167a060a9e33ce2378f28a0">GetFlatBufferResizeMethod</a>(resizeDescriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a869254cb56968986a78a79e1d6d4a86b">m_Method</a>),</div><div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(resizeDescriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span> </div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateResizeLayer(m_flatBufferBuilder,</div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  flatBufferBaseLayer,</div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  flatBufferDescriptor);</div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span> </div><div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_ResizeLayer);</div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span> }</div><div class="line"><a name="l00897"></a><span class="lineno"> 897</span> </div><div class="line"><a name="l00898"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#af9fea44d69144543d711293ab4a61af4"> 898</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitRsqrtLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00899"></a><span class="lineno"> 899</span> {</div><div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span> </div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  <span class="keyword">auto</span> fbRsqrtBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Rsqrt);</div><div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  <span class="keyword">auto</span> fbRsqrtLayer = serializer::CreateRsqrtLayer(m_flatBufferBuilder, fbRsqrtBaseLayer);</div><div class="line"><a name="l00904"></a><span class="lineno"> 904</span> </div><div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  CreateAnyLayer(fbRsqrtLayer.o, serializer::Layer::Layer_RsqrtLayer);</div><div class="line"><a name="l00906"></a><span class="lineno"> 906</span> }</div><div class="line"><a name="l00907"></a><span class="lineno"> 907</span> </div><div class="line"><a name="l00908"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a8931b9c0199822fe3db2fdbde579a96e"> 908</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitSliceLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_slice_descriptor.xhtml">armnn::SliceDescriptor</a>& sliceDescriptor,</div><div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span> {</div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span> </div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  <span class="keyword">auto</span> fbSliceBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Slice);</div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  <span class="keyword">auto</span> fbSliceDescriptor = CreateSliceDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  m_flatBufferBuilder.CreateVector(sliceDescriptor.<a class="code" href="structarmnn_1_1_slice_descriptor.xhtml#a4939f00778f08d6c6fec6f74c0a59b7e">m_Begin</a>),</div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  m_flatBufferBuilder.CreateVector(sliceDescriptor.<a class="code" href="structarmnn_1_1_slice_descriptor.xhtml#ab52cabf19232290fa6b49828ba957ac0">m_Size</a>));</div><div class="line"><a name="l00918"></a><span class="lineno"> 918</span> </div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  <span class="keyword">auto</span> fbSliceLayer = serializer::CreateSliceLayer(m_flatBufferBuilder, fbSliceBaseLayer, fbSliceDescriptor);</div><div class="line"><a name="l00920"></a><span class="lineno"> 920</span> </div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  CreateAnyLayer(fbSliceLayer.o, serializer::Layer::Layer_SliceLayer);</div><div class="line"><a name="l00922"></a><span class="lineno"> 922</span> }</div><div class="line"><a name="l00923"></a><span class="lineno"> 923</span> </div><div class="line"><a name="l00924"></a><span class="lineno"> 924</span> <span class="comment">// Build FlatBuffer for Softmax Layer</span></div><div class="line"><a name="l00925"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a22d44460791b64d4e1d65f8107f69786"> 925</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitSoftmaxLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00926"></a><span class="lineno"> 926</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::SoftmaxDescriptor</a>& softmaxDescriptor,</div><div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00928"></a><span class="lineno"> 928</span> {</div><div class="line"><a name="l00929"></a><span class="lineno"> 929</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span> </div><div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div><div class="line"><a name="l00932"></a><span class="lineno"> 932</span>  <span class="keyword">auto</span> flatBufferSoftmaxBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Softmax);</div><div class="line"><a name="l00933"></a><span class="lineno"> 933</span> </div><div class="line"><a name="l00934"></a><span class="lineno"> 934</span>  <span class="comment">// Create the FlatBuffer SoftmaxDescriptor</span></div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span>  <span class="keyword">auto</span> flatBufferSoftmaxDesc =</div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  serializer::CreateSoftmaxDescriptor(m_flatBufferBuilder, softmaxDescriptor.<a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a>);</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span> </div><div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  <span class="comment">// Create the FlatBuffer SoftmaxLayer</span></div><div class="line"><a name="l00939"></a><span class="lineno"> 939</span>  <span class="keyword">auto</span> flatBufferSoftmaxLayer =</div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  serializer::CreateSoftmaxLayer(m_flatBufferBuilder,</div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span>  flatBufferSoftmaxBaseLayer,</div><div class="line"><a name="l00942"></a><span class="lineno"> 942</span>  flatBufferSoftmaxDesc);</div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span> </div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span>  CreateAnyLayer(flatBufferSoftmaxLayer.o, serializer::Layer::Layer_SoftmaxLayer);</div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span> }</div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span> </div><div class="line"><a name="l00947"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#ab3c8fcc1045d3379148d4298b27c20d3"> 947</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitPooling2dLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml">armnn::Pooling2dDescriptor</a>& pooling2dDescriptor,</div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span> {</div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00952"></a><span class="lineno"> 952</span> </div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  <span class="keyword">auto</span> fbPooling2dBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Pooling2d);</div><div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  <span class="keyword">auto</span> fbPooling2dDescriptor = serializer::CreatePooling2dDescriptor(</div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  m_flatBufferBuilder,</div><div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  <a class="code" href="namespacearmnn_serializer.xhtml#ac2eceb2274af867d713fe44720fc2d4e">GetFlatBufferPoolingAlgorithm</a>(pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">m_PoolType</a>),</div><div class="line"><a name="l00957"></a><span class="lineno"> 957</span>  pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>,</div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>,</div><div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>,</div><div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>,</div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a>,</div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a>,</div><div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>,</div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>,</div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  <a class="code" href="namespacearmnn_serializer.xhtml#aa5f62540b7f991c1522cf9c43fc005ee">GetFlatBufferOutputShapeRounding</a>(pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">m_OutputShapeRounding</a>),</div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a30eb1e8d2a9b090243c4ededa17746b7">GetFlatBufferPaddingMethod</a>(pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c">m_PaddingMethod</a>),</div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(pooling2dDescriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span> </div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  <span class="keyword">auto</span> fbPooling2dLayer = serializer::CreatePooling2dLayer(m_flatBufferBuilder,</div><div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  fbPooling2dBaseLayer,</div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  fbPooling2dDescriptor);</div><div class="line"><a name="l00972"></a><span class="lineno"> 972</span> </div><div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  CreateAnyLayer(fbPooling2dLayer.o, serializer::Layer::Layer_Pooling2dLayer);</div><div class="line"><a name="l00974"></a><span class="lineno"> 974</span> }</div><div class="line"><a name="l00975"></a><span class="lineno"> 975</span> </div><div class="line"><a name="l00976"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a26930996b666eef0b5b1fe562644f5c9"> 976</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitPreluLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00978"></a><span class="lineno"> 978</span> {</div><div class="line"><a name="l00979"></a><span class="lineno"> 979</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00980"></a><span class="lineno"> 980</span> </div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  <span class="keyword">auto</span> flatBufferPreluBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Prelu);</div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span> </div><div class="line"><a name="l00984"></a><span class="lineno"> 984</span>  <span class="comment">// Create the FlatBuffer AdditionLayer</span></div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  <span class="keyword">auto</span> flatBufferPreluLayer = serializer::CreatePreluLayer(m_flatBufferBuilder, flatBufferPreluBaseLayer);</div><div class="line"><a name="l00986"></a><span class="lineno"> 986</span> </div><div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div><div class="line"><a name="l00988"></a><span class="lineno"> 988</span>  CreateAnyLayer(flatBufferPreluLayer.o, serializer::Layer::Layer_PreluLayer);</div><div class="line"><a name="l00989"></a><span class="lineno"> 989</span> }</div><div class="line"><a name="l00990"></a><span class="lineno"> 990</span> </div><div class="line"><a name="l00991"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a25ee3712e8012235fedcd41fdd1b78a3"> 991</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitQuantizeLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a> *layer, <span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div><div class="line"><a name="l00992"></a><span class="lineno"> 992</span> {</div><div class="line"><a name="l00993"></a><span class="lineno"> 993</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l00994"></a><span class="lineno"> 994</span> </div><div class="line"><a name="l00995"></a><span class="lineno"> 995</span>  <span class="keyword">auto</span> fbQuantizeBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Quantize);</div><div class="line"><a name="l00996"></a><span class="lineno"> 996</span>  <span class="keyword">auto</span> fbQuantizeLayer = serializer::CreateQuantizeLayer(m_flatBufferBuilder,</div><div class="line"><a name="l00997"></a><span class="lineno"> 997</span>  fbQuantizeBaseLayer);</div><div class="line"><a name="l00998"></a><span class="lineno"> 998</span>  CreateAnyLayer(fbQuantizeLayer.o, serializer::Layer::Layer_QuantizeLayer);</div><div class="line"><a name="l00999"></a><span class="lineno"> 999</span> }</div><div class="line"><a name="l01000"></a><span class="lineno"> 1000</span> </div><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span> <span class="comment">// Build FlatBuffer for FullyConnected Layer</span></div><div class="line"><a name="l01002"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a0d4758122aed43d472cdbd59e84bc047"> 1002</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitFullyConnectedLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml">armnn::FullyConnectedDescriptor</a>& fullyConnectedDescriptor,</div><div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a>& weights,</div><div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<armnn::ConstTensor></a>& biases,</div><div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l01007"></a><span class="lineno"> 1007</span> {</div><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l01009"></a><span class="lineno"> 1009</span> </div><div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div><div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_FullyConnected);</div><div class="line"><a name="l01012"></a><span class="lineno"> 1012</span> </div><div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  <span class="comment">// Create FlatBuffer FullyConnectedDescriptor</span></div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  <span class="keyword">auto</span> flatBufferDescriptor =</div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  serializer::CreateFullyConnectedDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>  fullyConnectedDescriptor.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>,</div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  fullyConnectedDescriptor.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a281fcaec86e17c97f7b8402633f6b55a">m_TransposeWeightMatrix</a>);</div><div class="line"><a name="l01018"></a><span class="lineno"> 1018</span> </div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  <span class="comment">// Create FlatBuffer weights data</span></div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  <span class="keyword">auto</span> flatBufferWeights = CreateConstTensorInfo(weights);</div><div class="line"><a name="l01021"></a><span class="lineno"> 1021</span> </div><div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>  <span class="comment">// Create FlatBuffer bias data</span></div><div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>  flatbuffers::Offset<serializer::ConstTensor> flatBufferBiases;</div><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  <span class="keywordflow">if</span> (fullyConnectedDescriptor.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  {</div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  flatBufferBiases = CreateConstTensorInfo(biases.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  }</div><div class="line"><a name="l01028"></a><span class="lineno"> 1028</span> </div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  <span class="comment">// Create FlatBuffer FullyConnectedLayer</span></div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateFullyConnectedLayer(m_flatBufferBuilder,</div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  flatBufferBaseLayer,</div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  flatBufferDescriptor,</div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  flatBufferWeights,</div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  flatBufferBiases);</div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span> </div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  <span class="comment">// Add created FullyConnectedLayer to the FlatBufferLayers</span></div><div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_FullyConnectedLayer);</div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span> }</div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span> </div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span> <span class="comment">// Build FlatBuffer for SpaceToBatchNd Layer</span></div><div class="line"><a name="l01041"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a4ca05fff57392b368ce229af4721aa19"> 1041</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitSpaceToBatchNdLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">armnn::SpaceToBatchNdDescriptor</a>& spaceToBatchNdDescriptor,</div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span> {</div><div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l01046"></a><span class="lineno"> 1046</span> </div><div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div><div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_SpaceToBatchNd);</div><div class="line"><a name="l01049"></a><span class="lineno"> 1049</span> </div><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>  std::vector<unsigned int> padList;</div><div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  padList.reserve(spaceToBatchNdDescriptor.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>.size()*2);</div><div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& pad : spaceToBatchNdDescriptor.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>)</div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  {</div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  padList.push_back(pad.first);</div><div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  padList.push_back(pad.second);</div><div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  }</div><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span> </div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  <span class="keyword">auto</span> flatBufferDescriptor =</div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>  CreateSpaceToBatchNdDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>  m_flatBufferBuilder.CreateVector(spaceToBatchNdDescriptor.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>),</div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>  m_flatBufferBuilder.CreateVector(padList),</div><div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(spaceToBatchNdDescriptor.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div><div class="line"><a name="l01063"></a><span class="lineno"> 1063</span> </div><div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateSpaceToBatchNdLayer(m_flatBufferBuilder,</div><div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>  flatBufferBaseLayer,</div><div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  flatBufferDescriptor);</div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span> </div><div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_SpaceToBatchNdLayer);</div><div class="line"><a name="l01069"></a><span class="lineno"> 1069</span> }</div><div class="line"><a name="l01070"></a><span class="lineno"> 1070</span> </div><div class="line"><a name="l01071"></a><span class="lineno"> 1071</span> <span class="comment">// Build FlatBuffer for SpaceToDepthLayer</span></div><div class="line"><a name="l01072"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#aa3c4485dc7e9529e9a03e74ba69bd624"> 1072</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitSpaceToDepthLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">armnn::SpaceToDepthDescriptor</a>& spaceToDepthDescriptor,</div><div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l01075"></a><span class="lineno"> 1075</span> {</div><div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l01077"></a><span class="lineno"> 1077</span> </div><div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_SpaceToDepth);</div><div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  <span class="keyword">auto</span> flatBufferDescriptor =</div><div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>  CreateSpaceToDepthDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>  spaceToDepthDescriptor.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a>,</div><div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(spaceToDepthDescriptor.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div><div class="line"><a name="l01083"></a><span class="lineno"> 1083</span> </div><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateSpaceToDepthLayer(m_flatBufferBuilder,</div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  flatBufferBaseLayer,</div><div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>  flatBufferDescriptor);</div><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span> </div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_SpaceToDepthLayer);</div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span> }</div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span> </div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span> <span class="comment">// Build FlatBuffer for Splitter Layer</span></div><div class="line"><a name="l01092"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#ab24e753aaf05ae1f1b099ec020bbb0df"> 1092</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitSplitterLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">armnn::ViewsDescriptor</a>& viewsDescriptor,</div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span> {</div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span> </div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>  <span class="comment">// Create FlatBuffer ViewOrigins</span></div><div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>  std::vector<flatbuffers::Offset<UintVector>> flatBufferViewOrigins;</div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>  flatBufferViewOrigins.reserve(viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>());</div><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span> </div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> vIdx = 0; vIdx < viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>(); ++vIdx)</div><div class="line"><a name="l01103"></a><span class="lineno"> 1103</span>  {</div><div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>  std::vector<uint32_t> viewOrigin;</div><div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>  viewOrigin.reserve(viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>());</div><div class="line"><a name="l01106"></a><span class="lineno"> 1106</span> </div><div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>  <span class="comment">// Copy vector</span></div><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dIdx = 0; dIdx < viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>(); ++dIdx)</div><div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>  {</div><div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>  viewOrigin.push_back(viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.xhtml#ab78e6fe963508c1ac5c00d04bb3361a3">GetViewOrigin</a>(vIdx)[dIdx]);</div><div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>  }</div><div class="line"><a name="l01112"></a><span class="lineno"> 1112</span> </div><div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>  flatBufferViewOrigins.push_back(CreateUintVector(m_flatBufferBuilder,</div><div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>  m_flatBufferBuilder.CreateVector(viewOrigin)));</div><div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>  }</div><div class="line"><a name="l01116"></a><span class="lineno"> 1116</span> </div><div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>  <span class="comment">// Create FlatBuffer OriginsDescriptor</span></div><div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>  <span class="keyword">auto</span> flatBufferOriginDescriptor = CreateOriginsDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>  viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a88d7c8ef4baba3690a4d25eec350ecb3">GetOrigins</a>().<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a379929e3b277f1ef94f3ce645870589d">GetConcatAxis</a>(),</div><div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a88d7c8ef4baba3690a4d25eec350ecb3">GetOrigins</a>().<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>(),</div><div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>  viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a88d7c8ef4baba3690a4d25eec350ecb3">GetOrigins</a>().<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>(),</div><div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>  m_flatBufferBuilder.CreateVector(flatBufferViewOrigins));</div><div class="line"><a name="l01123"></a><span class="lineno"> 1123</span> </div><div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>  <span class="comment">// Create FlatBuffer ViewOrigins</span></div><div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>  std::vector<flatbuffers::Offset<UintVector>> flatBufferViewSizes;</div><div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>  flatBufferViewSizes.reserve(viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>());</div><div class="line"><a name="l01127"></a><span class="lineno"> 1127</span> </div><div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> vIdx = 0; vIdx < viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>(); ++vIdx)</div><div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>  {</div><div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>  std::vector<uint32_t> viewSize;</div><div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>  viewSize.reserve(viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>());</div><div class="line"><a name="l01132"></a><span class="lineno"> 1132</span> </div><div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>  <span class="comment">// Copy vector</span></div><div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dIdx = 0; dIdx < viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>(); ++dIdx)</div><div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>  {</div><div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>  viewSize.push_back(viewsDescriptor.<a class="code" href="structarmnn_1_1_views_descriptor.xhtml#a3c1ab47a0a319413b3a4b5757ed5b80b">GetViewSizes</a>(vIdx)[dIdx]);</div><div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>  }</div><div class="line"><a name="l01138"></a><span class="lineno"> 1138</span> </div><div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>  flatBufferViewSizes.push_back(CreateUintVector(m_flatBufferBuilder,</div><div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>  m_flatBufferBuilder.CreateVector(viewSize)));</div><div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>  }</div><div class="line"><a name="l01142"></a><span class="lineno"> 1142</span> </div><div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>  <span class="comment">// Create FlatBuffer ViewsDescriptor</span></div><div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>  <span class="keyword">auto</span> flatBufferViewsDescriptor = CreateViewsDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>  flatBufferOriginDescriptor,</div><div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>  m_flatBufferBuilder.CreateVector(flatBufferViewSizes));</div><div class="line"><a name="l01147"></a><span class="lineno"> 1147</span> </div><div class="line"><a name="l01148"></a><span class="lineno"> 1148</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div><div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Splitter);</div><div class="line"><a name="l01150"></a><span class="lineno"> 1150</span> </div><div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>  <span class="keyword">auto</span> flatBufferSplitterLayer = serializer::CreateSplitterLayer(m_flatBufferBuilder,</div><div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>  flatBufferBaseLayer,</div><div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>  flatBufferViewsDescriptor);</div><div class="line"><a name="l01154"></a><span class="lineno"> 1154</span> </div><div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>  CreateAnyLayer(flatBufferSplitterLayer.o, serializer::Layer::Layer_SplitterLayer);</div><div class="line"><a name="l01156"></a><span class="lineno"> 1156</span> }</div><div class="line"><a name="l01157"></a><span class="lineno"> 1157</span> </div><div class="line"><a name="l01158"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#adf9c46396d90c17839fcbdd9f400166e"> 1158</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitNormalizationLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml">armnn::NormalizationDescriptor</a>& descriptor,</div><div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l01161"></a><span class="lineno"> 1161</span> {</div><div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l01163"></a><span class="lineno"> 1163</span> </div><div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>  <span class="keyword">auto</span> fbNormalizationBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Normalization);</div><div class="line"><a name="l01165"></a><span class="lineno"> 1165</span> </div><div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>  <span class="keyword">auto</span> fbNormalizationDescriptor = serializer::CreateNormalizationDescriptor(</div><div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>  m_flatBufferBuilder,</div><div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>  <a class="code" href="namespacearmnn_serializer.xhtml#af279947f1e42035d0f611e5b8cd70cb2">GetFlatBufferNormalizationAlgorithmChannel</a>(descriptor.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#afe1f0f09d49ad2befc01f8789187b7dd">m_NormChannelType</a>),</div><div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>  <a class="code" href="namespacearmnn_serializer.xhtml#ac813f02c91c348db92b5a40ecfa0135e">GetFlatBufferNormalizationAlgorithmMethod</a>(descriptor.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a05945f080edf694b631960728b87aadb">m_NormMethodType</a>),</div><div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>  descriptor.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#aa70c05f1aad12fbd9d9ec43ea4557b03">m_NormSize</a>,</div><div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>  descriptor.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a174279be57d7596eeb04c6b7f7510f99">m_Alpha</a>,</div><div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>  descriptor.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a>,</div><div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>  descriptor.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a8526ea7cf860d8e7f8340e9f9354f9f0">m_K</a>,</div><div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(descriptor.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div><div class="line"><a name="l01175"></a><span class="lineno"> 1175</span> </div><div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateNormalizationLayer(m_flatBufferBuilder,</div><div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>  fbNormalizationBaseLayer,</div><div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>  fbNormalizationDescriptor);</div><div class="line"><a name="l01179"></a><span class="lineno"> 1179</span> </div><div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_NormalizationLayer);</div><div class="line"><a name="l01181"></a><span class="lineno"> 1181</span> }</div><div class="line"><a name="l01182"></a><span class="lineno"> 1182</span> </div><div class="line"><a name="l01183"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#aa6835f67d172384fb91ca5e7d0933a00"> 1183</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitStackLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_descriptor.xhtml">armnn::StackDescriptor</a>& stackDescriptor,</div><div class="line"><a name="l01185"></a><span class="lineno"> 1185</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l01186"></a><span class="lineno"> 1186</span> {</div><div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l01188"></a><span class="lineno"> 1188</span> </div><div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>  <span class="keyword">auto</span> stackBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Stack);</div><div class="line"><a name="l01190"></a><span class="lineno"> 1190</span> </div><div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>  std::vector<unsigned int> inputShape;</div><div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i =0; i < stackDescriptor.<a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#a2bea87b470268bb0b73457c3733dbc04">m_InputShape</a>.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); i++)</div><div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>  {</div><div class="line"><a name="l01194"></a><span class="lineno"> 1194</span>  inputShape.push_back(stackDescriptor.<a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#a2bea87b470268bb0b73457c3733dbc04">m_InputShape</a>[i]);</div><div class="line"><a name="l01195"></a><span class="lineno"> 1195</span>  }</div><div class="line"><a name="l01196"></a><span class="lineno"> 1196</span> </div><div class="line"><a name="l01197"></a><span class="lineno"> 1197</span>  <span class="keyword">auto</span> flatBufferStackDescriptor = CreateStackDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l01198"></a><span class="lineno"> 1198</span>  stackDescriptor.<a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a>,</div><div class="line"><a name="l01199"></a><span class="lineno"> 1199</span>  stackDescriptor.<a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">m_NumInputs</a>,</div><div class="line"><a name="l01200"></a><span class="lineno"> 1200</span>  m_flatBufferBuilder.CreateVector(inputShape));</div><div class="line"><a name="l01201"></a><span class="lineno"> 1201</span> </div><div class="line"><a name="l01202"></a><span class="lineno"> 1202</span>  <span class="keyword">auto</span> stackLayer = serializer::CreateStackLayer(m_flatBufferBuilder, stackBaseLayer, flatBufferStackDescriptor);</div><div class="line"><a name="l01203"></a><span class="lineno"> 1203</span>  CreateAnyLayer(stackLayer.o, serializer::Layer::Layer_StackLayer);</div><div class="line"><a name="l01204"></a><span class="lineno"> 1204</span> }</div><div class="line"><a name="l01205"></a><span class="lineno"> 1205</span> </div><div class="line"><a name="l01206"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#afdc56797f18b4ec2b66469bd4553d65b"> 1206</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitStandInLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a> *layer,</div><div class="line"><a name="l01207"></a><span class="lineno"> 1207</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml">armnn::StandInDescriptor</a>& standInDescriptor,</div><div class="line"><a name="l01208"></a><span class="lineno"> 1208</span>  <span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div><div class="line"><a name="l01209"></a><span class="lineno"> 1209</span> {</div><div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l01211"></a><span class="lineno"> 1211</span> </div><div class="line"><a name="l01212"></a><span class="lineno"> 1212</span>  <span class="keyword">auto</span> fbDescriptor = serializer::CreateStandInDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l01213"></a><span class="lineno"> 1213</span>  standInDescriptor.<a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">m_NumInputs</a>,</div><div class="line"><a name="l01214"></a><span class="lineno"> 1214</span>  standInDescriptor.<a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml#abb8a2d2bb8cc594c26aaa70c820ac5cc">m_NumOutputs</a>);</div><div class="line"><a name="l01215"></a><span class="lineno"> 1215</span> </div><div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_StandIn);</div><div class="line"><a name="l01217"></a><span class="lineno"> 1217</span>  <span class="keyword">auto</span> fbLayer = serializer::CreateStandInLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor);</div><div class="line"><a name="l01218"></a><span class="lineno"> 1218</span> </div><div class="line"><a name="l01219"></a><span class="lineno"> 1219</span>  CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_StandInLayer);</div><div class="line"><a name="l01220"></a><span class="lineno"> 1220</span> }</div><div class="line"><a name="l01221"></a><span class="lineno"> 1221</span> </div><div class="line"><a name="l01222"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a4f0cb9c392102c5108766a0faa754d92"> 1222</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitStridedSliceLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l01223"></a><span class="lineno"> 1223</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml">armnn::StridedSliceDescriptor</a>& stridedSliceDescriptor,</div><div class="line"><a name="l01224"></a><span class="lineno"> 1224</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l01225"></a><span class="lineno"> 1225</span> {</div><div class="line"><a name="l01226"></a><span class="lineno"> 1226</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l01227"></a><span class="lineno"> 1227</span> </div><div class="line"><a name="l01228"></a><span class="lineno"> 1228</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_StridedSlice);</div><div class="line"><a name="l01229"></a><span class="lineno"> 1229</span> </div><div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>  <span class="keyword">auto</span> flatBufferDescriptor =</div><div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>  CreateStridedSliceDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>  m_flatBufferBuilder.CreateVector(stridedSliceDescriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a118fe06b7c2599da60398ee311ede923">m_Begin</a>),</div><div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>  m_flatBufferBuilder.CreateVector(stridedSliceDescriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#aa68194dd6258ab5b04123005a066ea25">m_End</a>),</div><div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>  m_flatBufferBuilder.CreateVector(stridedSliceDescriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a0d53caff836b84204adbd1c28752a201">m_Stride</a>),</div><div class="line"><a name="l01235"></a><span class="lineno"> 1235</span>  stridedSliceDescriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a61081be1483984e33db452c75d569f51">m_BeginMask</a>,</div><div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>  stridedSliceDescriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#ac37e49c0d6e6e54f9d2015d0f11f8ee7">m_EndMask</a>,</div><div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>  stridedSliceDescriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6d0384878432cfc9652b7ae8bc59506f">m_ShrinkAxisMask</a>,</div><div class="line"><a name="l01238"></a><span class="lineno"> 1238</span>  stridedSliceDescriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#af996d82c47e43a16f4c8faa6c6b3e030">m_EllipsisMask</a>,</div><div class="line"><a name="l01239"></a><span class="lineno"> 1239</span>  stridedSliceDescriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a7c91eda2b331d607bae92cd8ebf50bb9">m_NewAxisMask</a>,</div><div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(stridedSliceDescriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div><div class="line"><a name="l01241"></a><span class="lineno"> 1241</span> </div><div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateStridedSliceLayer(m_flatBufferBuilder,</div><div class="line"><a name="l01243"></a><span class="lineno"> 1243</span>  flatBufferBaseLayer,</div><div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>  flatBufferDescriptor);</div><div class="line"><a name="l01245"></a><span class="lineno"> 1245</span> </div><div class="line"><a name="l01246"></a><span class="lineno"> 1246</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_StridedSliceLayer);</div><div class="line"><a name="l01247"></a><span class="lineno"> 1247</span> }</div><div class="line"><a name="l01248"></a><span class="lineno"> 1248</span> </div><div class="line"><a name="l01249"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a8f33221ab8f8feb4f2bbd5ddaa5bfa02"> 1249</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitSubtractionLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l01250"></a><span class="lineno"> 1250</span> {</div><div class="line"><a name="l01251"></a><span class="lineno"> 1251</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l01252"></a><span class="lineno"> 1252</span> </div><div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>  <span class="keyword">auto</span> fbSubtractionBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Subtraction);</div><div class="line"><a name="l01254"></a><span class="lineno"> 1254</span>  <span class="keyword">auto</span> fbSubtractionLayer = serializer::CreateSubtractionLayer(m_flatBufferBuilder, fbSubtractionBaseLayer);</div><div class="line"><a name="l01255"></a><span class="lineno"> 1255</span> </div><div class="line"><a name="l01256"></a><span class="lineno"> 1256</span>  CreateAnyLayer(fbSubtractionLayer.o, serializer::Layer::Layer_SubtractionLayer);</div><div class="line"><a name="l01257"></a><span class="lineno"> 1257</span> }</div><div class="line"><a name="l01258"></a><span class="lineno"> 1258</span> </div><div class="line"><a name="l01259"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a20396d2da2d38ae69bd5bda5d8c1e8dc"> 1259</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitSwitchLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l01260"></a><span class="lineno"> 1260</span> {</div><div class="line"><a name="l01261"></a><span class="lineno"> 1261</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l01262"></a><span class="lineno"> 1262</span> </div><div class="line"><a name="l01263"></a><span class="lineno"> 1263</span>  <span class="keyword">auto</span> fbSwitchBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Switch);</div><div class="line"><a name="l01264"></a><span class="lineno"> 1264</span>  <span class="keyword">auto</span> fbSwitchLayer = serializer::CreateSwitchLayer(m_flatBufferBuilder, fbSwitchBaseLayer);</div><div class="line"><a name="l01265"></a><span class="lineno"> 1265</span> </div><div class="line"><a name="l01266"></a><span class="lineno"> 1266</span>  CreateAnyLayer(fbSwitchLayer.o, serializer::Layer::Layer_SwitchLayer);</div><div class="line"><a name="l01267"></a><span class="lineno"> 1267</span> }</div><div class="line"><a name="l01268"></a><span class="lineno"> 1268</span> </div><div class="line"><a name="l01269"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#aa46bee20f6017ada3c3a46e1bdf23011"> 1269</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitTransposeConvolution2dLayer(</div><div class="line"><a name="l01270"></a><span class="lineno"> 1270</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l01271"></a><span class="lineno"> 1271</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">armnn::TransposeConvolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l01272"></a><span class="lineno"> 1272</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a>& weights,</div><div class="line"><a name="l01273"></a><span class="lineno"> 1273</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<armnn::ConstTensor></a>& biases,</div><div class="line"><a name="l01274"></a><span class="lineno"> 1274</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l01275"></a><span class="lineno"> 1275</span> {</div><div class="line"><a name="l01276"></a><span class="lineno"> 1276</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l01277"></a><span class="lineno"> 1277</span> </div><div class="line"><a name="l01278"></a><span class="lineno"> 1278</span>  <span class="keyword">auto</span> fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Convolution2d);</div><div class="line"><a name="l01279"></a><span class="lineno"> 1279</span>  <span class="keyword">auto</span> fbDescriptor = CreateTransposeConvolution2dDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l01280"></a><span class="lineno"> 1280</span>  descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>,</div><div class="line"><a name="l01281"></a><span class="lineno"> 1281</span>  descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>,</div><div class="line"><a name="l01282"></a><span class="lineno"> 1282</span>  descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>,</div><div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>  descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>,</div><div class="line"><a name="l01284"></a><span class="lineno"> 1284</span>  descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>,</div><div class="line"><a name="l01285"></a><span class="lineno"> 1285</span>  descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>,</div><div class="line"><a name="l01286"></a><span class="lineno"> 1286</span>  descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>,</div><div class="line"><a name="l01287"></a><span class="lineno"> 1287</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a6a38e099993f10c9262e0b5f2bff4fcd">GetFlatBufferDataLayout</a>(descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>));</div><div class="line"><a name="l01288"></a><span class="lineno"> 1288</span> </div><div class="line"><a name="l01289"></a><span class="lineno"> 1289</span>  <span class="comment">// weights & biases</span></div><div class="line"><a name="l01290"></a><span class="lineno"> 1290</span>  <span class="keyword">auto</span> fbWeightsConstTensorInfo = CreateConstTensorInfo(weights);</div><div class="line"><a name="l01291"></a><span class="lineno"> 1291</span>  flatbuffers::Offset<serializer::ConstTensor> fbBiasesConstTensorInfo;</div><div class="line"><a name="l01292"></a><span class="lineno"> 1292</span>  <span class="keywordflow">if</span> (biases.<a class="code" href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</div><div class="line"><a name="l01293"></a><span class="lineno"> 1293</span>  {</div><div class="line"><a name="l01294"></a><span class="lineno"> 1294</span>  fbBiasesConstTensorInfo = CreateConstTensorInfo(biases.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l01295"></a><span class="lineno"> 1295</span>  }</div><div class="line"><a name="l01296"></a><span class="lineno"> 1296</span> </div><div class="line"><a name="l01297"></a><span class="lineno"> 1297</span>  <span class="keyword">auto</span> fbLayer = CreateTransposeConvolution2dLayer(m_flatBufferBuilder,</div><div class="line"><a name="l01298"></a><span class="lineno"> 1298</span>  fbBaseLayer,</div><div class="line"><a name="l01299"></a><span class="lineno"> 1299</span>  fbDescriptor,</div><div class="line"><a name="l01300"></a><span class="lineno"> 1300</span>  fbWeightsConstTensorInfo,</div><div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>  fbBiasesConstTensorInfo);</div><div class="line"><a name="l01302"></a><span class="lineno"> 1302</span> </div><div class="line"><a name="l01303"></a><span class="lineno"> 1303</span>  CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_TransposeConvolution2dLayer);</div><div class="line"><a name="l01304"></a><span class="lineno"> 1304</span> }</div><div class="line"><a name="l01305"></a><span class="lineno"> 1305</span> </div><div class="line"><a name="l01306"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a82daa527121e400d8bab5eecc77f6fcb"> 1306</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitTransposeLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l01307"></a><span class="lineno"> 1307</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml">armnn::TransposeDescriptor</a>& descriptor,</div><div class="line"><a name="l01308"></a><span class="lineno"> 1308</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l01309"></a><span class="lineno"> 1309</span> {</div><div class="line"><a name="l01310"></a><span class="lineno"> 1310</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l01311"></a><span class="lineno"> 1311</span> </div><div class="line"><a name="l01312"></a><span class="lineno"> 1312</span>  <span class="comment">// Create FlatBuffer BaseLayer</span></div><div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>  <span class="keyword">auto</span> flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Transpose);</div><div class="line"><a name="l01314"></a><span class="lineno"> 1314</span> </div><div class="line"><a name="l01315"></a><span class="lineno"> 1315</span>  std::vector<unsigned int> dimMappings;</div><div class="line"><a name="l01316"></a><span class="lineno"> 1316</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i<descriptor.<a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>.<a class="code" href="classarmnn_1_1_permutation_vector.xhtml#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>(); ++i)</div><div class="line"><a name="l01317"></a><span class="lineno"> 1317</span>  {</div><div class="line"><a name="l01318"></a><span class="lineno"> 1318</span>  dimMappings.push_back(descriptor.<a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>[i]);</div><div class="line"><a name="l01319"></a><span class="lineno"> 1319</span>  }</div><div class="line"><a name="l01320"></a><span class="lineno"> 1320</span> </div><div class="line"><a name="l01321"></a><span class="lineno"> 1321</span>  <span class="keyword">auto</span> flatBufferDesc = serializer::CreateTransposeDescriptor(m_flatBufferBuilder,</div><div class="line"><a name="l01322"></a><span class="lineno"> 1322</span>  m_flatBufferBuilder.CreateVector(dimMappings));</div><div class="line"><a name="l01323"></a><span class="lineno"> 1323</span> </div><div class="line"><a name="l01324"></a><span class="lineno"> 1324</span>  <span class="comment">// Create the FlatBuffer TransposeLayer</span></div><div class="line"><a name="l01325"></a><span class="lineno"> 1325</span>  <span class="keyword">auto</span> flatBufferLayer = serializer::CreateTransposeLayer(m_flatBufferBuilder,</div><div class="line"><a name="l01326"></a><span class="lineno"> 1326</span>  flatBufferBaseLayer,</div><div class="line"><a name="l01327"></a><span class="lineno"> 1327</span>  flatBufferDesc);</div><div class="line"><a name="l01328"></a><span class="lineno"> 1328</span> </div><div class="line"><a name="l01329"></a><span class="lineno"> 1329</span>  <span class="comment">// Add the AnyLayer to the FlatBufferLayers</span></div><div class="line"><a name="l01330"></a><span class="lineno"> 1330</span>  CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_TransposeLayer);</div><div class="line"><a name="l01331"></a><span class="lineno"> 1331</span> }</div><div class="line"><a name="l01332"></a><span class="lineno"> 1332</span> </div><div class="line"><a name="l01333"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a598e914a8657aca24ed847d9069ad025"> 1333</a></span> <span class="keywordtype">void</span> SerializerVisitor::VisitQuantizedLstmLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml">armnn::QuantizedLstmInputParams</a>& params,</div><div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l01336"></a><span class="lineno"> 1336</span> {</div><div class="line"><a name="l01337"></a><span class="lineno"> 1337</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(name);</div><div class="line"><a name="l01338"></a><span class="lineno"> 1338</span> </div><div class="line"><a name="l01339"></a><span class="lineno"> 1339</span>  <span class="keyword">auto</span> fbQuantizedLstmBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_QuantizedLstm);</div><div class="line"><a name="l01340"></a><span class="lineno"> 1340</span> </div><div class="line"><a name="l01341"></a><span class="lineno"> 1341</span>  <span class="comment">// Get input parameters</span></div><div class="line"><a name="l01342"></a><span class="lineno"> 1342</span>  <span class="keyword">auto</span> inputToInputWeights = CreateConstTensorInfo(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a23d6133552ba91cc0571517896792ea4">GetInputToInputWeights</a>());</div><div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>  <span class="keyword">auto</span> inputToForgetWeights = CreateConstTensorInfo(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a339c19855613274cf0ea13921af9e5a3">GetInputToForgetWeights</a>());</div><div class="line"><a name="l01344"></a><span class="lineno"> 1344</span>  <span class="keyword">auto</span> inputToCellWeights = CreateConstTensorInfo(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a928f70dd19a2b0d3e9b75c27a2099c44">GetInputToCellWeights</a>());</div><div class="line"><a name="l01345"></a><span class="lineno"> 1345</span>  <span class="keyword">auto</span> inputToOutputWeights = CreateConstTensorInfo(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a477440c44fe870fb6f2486bf68214395">GetInputToOutputWeights</a>());</div><div class="line"><a name="l01346"></a><span class="lineno"> 1346</span> </div><div class="line"><a name="l01347"></a><span class="lineno"> 1347</span>  <span class="keyword">auto</span> recurrentToInputWeights = CreateConstTensorInfo(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#ad2e53e6428416a65ae4ba566207cc6bf">GetRecurrentToInputWeights</a>());</div><div class="line"><a name="l01348"></a><span class="lineno"> 1348</span>  <span class="keyword">auto</span> recurrentToForgetWeights = CreateConstTensorInfo(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a8ad69d6d46b4b12f47fbe6032c9b7a18">GetRecurrentToForgetWeights</a>());</div><div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>  <span class="keyword">auto</span> recurrentToCellWeights = CreateConstTensorInfo(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a63e34dd3e41262e750f7a54de8ca81d1">GetRecurrentToCellWeights</a>());</div><div class="line"><a name="l01350"></a><span class="lineno"> 1350</span>  <span class="keyword">auto</span> recurrentToOutputWeights = CreateConstTensorInfo(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a94645f29b99800c2e57acc4832519a53">GetRecurrentToOutputWeights</a>());</div><div class="line"><a name="l01351"></a><span class="lineno"> 1351</span> </div><div class="line"><a name="l01352"></a><span class="lineno"> 1352</span>  <span class="keyword">auto</span> inputGateBias = CreateConstTensorInfo(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#aba6d12c9d5671017b6711b80316069ff">GetInputGateBias</a>());</div><div class="line"><a name="l01353"></a><span class="lineno"> 1353</span>  <span class="keyword">auto</span> forgetGateBias = CreateConstTensorInfo(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a715696f29b5376cbb8aaec0b77a092af">GetForgetGateBias</a>());</div><div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>  <span class="keyword">auto</span> cellBias = CreateConstTensorInfo(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a89f3c8b72e3a802240156915141de5ca">GetCellBias</a>());</div><div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>  <span class="keyword">auto</span> outputGateBias = CreateConstTensorInfo(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a1691bf16df2cabf1a4b82aecbb021f31">GetOutputGateBias</a>());</div><div class="line"><a name="l01356"></a><span class="lineno"> 1356</span> </div><div class="line"><a name="l01357"></a><span class="lineno"> 1357</span>  <span class="keyword">auto</span> fbQuantizedLstmParams = serializer::CreateQuantizedLstmInputParams(</div><div class="line"><a name="l01358"></a><span class="lineno"> 1358</span>  m_flatBufferBuilder,</div><div class="line"><a name="l01359"></a><span class="lineno"> 1359</span>  inputToInputWeights,</div><div class="line"><a name="l01360"></a><span class="lineno"> 1360</span>  inputToForgetWeights,</div><div class="line"><a name="l01361"></a><span class="lineno"> 1361</span>  inputToCellWeights,</div><div class="line"><a name="l01362"></a><span class="lineno"> 1362</span>  inputToOutputWeights,</div><div class="line"><a name="l01363"></a><span class="lineno"> 1363</span>  recurrentToInputWeights,</div><div class="line"><a name="l01364"></a><span class="lineno"> 1364</span>  recurrentToForgetWeights,</div><div class="line"><a name="l01365"></a><span class="lineno"> 1365</span>  recurrentToCellWeights,</div><div class="line"><a name="l01366"></a><span class="lineno"> 1366</span>  recurrentToOutputWeights,</div><div class="line"><a name="l01367"></a><span class="lineno"> 1367</span>  inputGateBias,</div><div class="line"><a name="l01368"></a><span class="lineno"> 1368</span>  forgetGateBias,</div><div class="line"><a name="l01369"></a><span class="lineno"> 1369</span>  cellBias,</div><div class="line"><a name="l01370"></a><span class="lineno"> 1370</span>  outputGateBias);</div><div class="line"><a name="l01371"></a><span class="lineno"> 1371</span> </div><div class="line"><a name="l01372"></a><span class="lineno"> 1372</span>  <span class="keyword">auto</span> fbQuantizedLstmLayer = serializer::CreateQuantizedLstmLayer(</div><div class="line"><a name="l01373"></a><span class="lineno"> 1373</span>  m_flatBufferBuilder,</div><div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>  fbQuantizedLstmBaseLayer,</div><div class="line"><a name="l01375"></a><span class="lineno"> 1375</span>  fbQuantizedLstmParams);</div><div class="line"><a name="l01376"></a><span class="lineno"> 1376</span> </div><div class="line"><a name="l01377"></a><span class="lineno"> 1377</span>  CreateAnyLayer(fbQuantizedLstmLayer.o, serializer::Layer::Layer_QuantizedLstmLayer);</div><div class="line"><a name="l01378"></a><span class="lineno"> 1378</span> }</div><div class="line"><a name="l01379"></a><span class="lineno"> 1379</span> </div><div class="line"><a name="l01380"></a><span class="lineno"> 1380</span> fb::Offset<serializer::LayerBase> SerializerVisitor::CreateLayerBase(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* layer,</div><div class="line"><a name="l01381"></a><span class="lineno"> 1381</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">serializer::LayerType</a> layerType)</div><div class="line"><a name="l01382"></a><span class="lineno"> 1382</span> {</div><div class="line"><a name="l01383"></a><span class="lineno"> 1383</span> </div><div class="line"><a name="l01384"></a><span class="lineno"> 1384</span>  uint32_t fbIndex = GetSerializedId(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#afb5e65c770f6cee222db8af7581541a6">GetGuid</a>());</div><div class="line"><a name="l01385"></a><span class="lineno"> 1385</span> </div><div class="line"><a name="l01386"></a><span class="lineno"> 1386</span>  std::vector<fb::Offset<serializer::InputSlot>> inputSlots = CreateInputSlots(layer);</div><div class="line"><a name="l01387"></a><span class="lineno"> 1387</span>  std::vector<fb::Offset<serializer::OutputSlot>> outputSlots = CreateOutputSlots(layer);</div><div class="line"><a name="l01388"></a><span class="lineno"> 1388</span> </div><div class="line"><a name="l01389"></a><span class="lineno"> 1389</span>  <span class="keywordflow">return</span> serializer::CreateLayerBase(m_flatBufferBuilder,</div><div class="line"><a name="l01390"></a><span class="lineno"> 1390</span>  fbIndex,</div><div class="line"><a name="l01391"></a><span class="lineno"> 1391</span>  m_flatBufferBuilder.CreateString(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#afcc1c3a20bd2860e0ddd21674389246f">GetName</a>()),</div><div class="line"><a name="l01392"></a><span class="lineno"> 1392</span>  layerType,</div><div class="line"><a name="l01393"></a><span class="lineno"> 1393</span>  m_flatBufferBuilder.CreateVector(inputSlots),</div><div class="line"><a name="l01394"></a><span class="lineno"> 1394</span>  m_flatBufferBuilder.CreateVector(outputSlots));</div><div class="line"><a name="l01395"></a><span class="lineno"> 1395</span> }</div><div class="line"><a name="l01396"></a><span class="lineno"> 1396</span> </div><div class="line"><a name="l01397"></a><span class="lineno"> 1397</span> <span class="keywordtype">void</span> SerializerVisitor::CreateAnyLayer(<span class="keyword">const</span> flatbuffers::Offset<void>& layer, <span class="keyword">const</span> serializer::Layer serializerLayer)</div><div class="line"><a name="l01398"></a><span class="lineno"> 1398</span> {</div><div class="line"><a name="l01399"></a><span class="lineno"> 1399</span> </div><div class="line"><a name="l01400"></a><span class="lineno"> 1400</span>  <span class="keyword">auto</span> anyLayer = armnnSerializer::CreateAnyLayer(m_flatBufferBuilder, serializerLayer, layer);</div><div class="line"><a name="l01401"></a><span class="lineno"> 1401</span>  m_serializedLayers.push_back(anyLayer);</div><div class="line"><a name="l01402"></a><span class="lineno"> 1402</span> }</div><div class="line"><a name="l01403"></a><span class="lineno"> 1403</span> </div><div class="line"><a name="l01404"></a><span class="lineno"> 1404</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l01405"></a><span class="lineno"> 1405</span> flatbuffers::Offset<flatbuffers::Vector<T>> SerializerVisitor::CreateDataVector(<span class="keyword">const</span> <span class="keywordtype">void</span>* memory, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> size)</div><div class="line"><a name="l01406"></a><span class="lineno"> 1406</span> {</div><div class="line"><a name="l01407"></a><span class="lineno"> 1407</span>  <span class="keyword">const</span> T* buffer = <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>T*<span class="keyword">></span>(memory);</div><div class="line"><a name="l01408"></a><span class="lineno"> 1408</span>  std::vector<T> vector(buffer, buffer + (size / <span class="keyword">sizeof</span>(T)));</div><div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>  <span class="keyword">auto</span> fbVector = m_flatBufferBuilder.CreateVector(vector);</div><div class="line"><a name="l01410"></a><span class="lineno"> 1410</span>  <span class="keywordflow">return</span> fbVector;</div><div class="line"><a name="l01411"></a><span class="lineno"> 1411</span> }</div><div class="line"><a name="l01412"></a><span class="lineno"> 1412</span> </div><div class="line"><a name="l01413"></a><span class="lineno"> 1413</span> flatbuffers::Offset<serializer::ConstTensor></div><div class="line"><a name="l01414"></a><span class="lineno"> 1414</span>  SerializerVisitor::CreateConstTensorInfo(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a>& constTensor)</div><div class="line"><a name="l01415"></a><span class="lineno"> 1415</span> {</div><div class="line"><a name="l01416"></a><span class="lineno"> 1416</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> tensorInfo = constTensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>();</div><div class="line"><a name="l01417"></a><span class="lineno"> 1417</span> </div><div class="line"><a name="l01418"></a><span class="lineno"> 1418</span>  <span class="comment">// Get the dimensions</span></div><div class="line"><a name="l01419"></a><span class="lineno"> 1419</span>  std::vector<unsigned int> shape;</div><div class="line"><a name="l01420"></a><span class="lineno"> 1420</span> </div><div class="line"><a name="l01421"></a><span class="lineno"> 1421</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dim = 0; dim < tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>().<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); ++dim)</div><div class="line"><a name="l01422"></a><span class="lineno"> 1422</span>  {</div><div class="line"><a name="l01423"></a><span class="lineno"> 1423</span>  shape.push_back(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[dim]);</div><div class="line"><a name="l01424"></a><span class="lineno"> 1424</span>  }</div><div class="line"><a name="l01425"></a><span class="lineno"> 1425</span> </div><div class="line"><a name="l01426"></a><span class="lineno"> 1426</span>  <span class="comment">// Create FlatBuffer TensorInfo</span></div><div class="line"><a name="l01427"></a><span class="lineno"> 1427</span>  <span class="keyword">auto</span> flatBufferTensorInfo = serializer::CreateTensorInfo(m_flatBufferBuilder,</div><div class="line"><a name="l01428"></a><span class="lineno"> 1428</span>  m_flatBufferBuilder.CreateVector(shape),</div><div class="line"><a name="l01429"></a><span class="lineno"> 1429</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a27876085f01a54e1995bc0b3ea96ce41">GetFlatBufferDataType</a>(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>()),</div><div class="line"><a name="l01430"></a><span class="lineno"> 1430</span>  tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(),</div><div class="line"><a name="l01431"></a><span class="lineno"> 1431</span>  tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</div><div class="line"><a name="l01432"></a><span class="lineno"> 1432</span>  flatbuffers::Offset<void> fbPayload;</div><div class="line"><a name="l01433"></a><span class="lineno"> 1433</span> </div><div class="line"><a name="l01434"></a><span class="lineno"> 1434</span>  <span class="keywordflow">switch</span> (tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>())</div><div class="line"><a name="l01435"></a><span class="lineno"> 1435</span>  {</div><div class="line"><a name="l01436"></a><span class="lineno"> 1436</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>:</div><div class="line"><a name="l01437"></a><span class="lineno"> 1437</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>:</div><div class="line"><a name="l01438"></a><span class="lineno"> 1438</span>  {</div><div class="line"><a name="l01439"></a><span class="lineno"> 1439</span>  <span class="keyword">auto</span> fbVector = CreateDataVector<int32_t>(constTensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#aa81f67ac64f0c249e26499600c45d996">GetMemoryArea</a>(), constTensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a>());</div><div class="line"><a name="l01440"></a><span class="lineno"> 1440</span>  flatbuffers::Offset<serializer::IntData> flatBuffersData = serializer::CreateIntData(</div><div class="line"><a name="l01441"></a><span class="lineno"> 1441</span>  m_flatBufferBuilder,</div><div class="line"><a name="l01442"></a><span class="lineno"> 1442</span>  fbVector);</div><div class="line"><a name="l01443"></a><span class="lineno"> 1443</span>  fbPayload = flatBuffersData.o;</div><div class="line"><a name="l01444"></a><span class="lineno"> 1444</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l01445"></a><span class="lineno"> 1445</span>  }</div><div class="line"><a name="l01446"></a><span class="lineno"> 1446</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>:</div><div class="line"><a name="l01447"></a><span class="lineno"> 1447</span>  {</div><div class="line"><a name="l01448"></a><span class="lineno"> 1448</span>  <span class="keyword">auto</span> fbVector = CreateDataVector<int16_t>(constTensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#aa81f67ac64f0c249e26499600c45d996">GetMemoryArea</a>(), constTensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a>());</div><div class="line"><a name="l01449"></a><span class="lineno"> 1449</span>  flatbuffers::Offset<serializer::ShortData> flatBuffersData = serializer::CreateShortData(</div><div class="line"><a name="l01450"></a><span class="lineno"> 1450</span>  m_flatBufferBuilder,</div><div class="line"><a name="l01451"></a><span class="lineno"> 1451</span>  fbVector);</div><div class="line"><a name="l01452"></a><span class="lineno"> 1452</span>  fbPayload = flatBuffersData.o;</div><div class="line"><a name="l01453"></a><span class="lineno"> 1453</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l01454"></a><span class="lineno"> 1454</span>  }</div><div class="line"><a name="l01455"></a><span class="lineno"> 1455</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>:</div><div class="line"><a name="l01456"></a><span class="lineno"> 1456</span>  {</div><div class="line"><a name="l01457"></a><span class="lineno"> 1457</span>  <span class="keyword">auto</span> fbVector = CreateDataVector<int16_t>(constTensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#aa81f67ac64f0c249e26499600c45d996">GetMemoryArea</a>(), constTensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a>());</div><div class="line"><a name="l01458"></a><span class="lineno"> 1458</span>  flatbuffers::Offset<serializer::ShortData> flatBuffersData = serializer::CreateShortData(</div><div class="line"><a name="l01459"></a><span class="lineno"> 1459</span>  m_flatBufferBuilder,</div><div class="line"><a name="l01460"></a><span class="lineno"> 1460</span>  fbVector);</div><div class="line"><a name="l01461"></a><span class="lineno"> 1461</span>  fbPayload = flatBuffersData.o;</div><div class="line"><a name="l01462"></a><span class="lineno"> 1462</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l01463"></a><span class="lineno"> 1463</span>  }</div><div class="line"><a name="l01464"></a><span class="lineno"> 1464</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l01465"></a><span class="lineno"> 1465</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>:</div><div class="line"><a name="l01466"></a><span class="lineno"> 1466</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l01467"></a><span class="lineno"> 1467</span>  {</div><div class="line"><a name="l01468"></a><span class="lineno"> 1468</span>  <span class="keyword">auto</span> fbVector = CreateDataVector<int8_t>(constTensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#aa81f67ac64f0c249e26499600c45d996">GetMemoryArea</a>(), constTensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a>());</div><div class="line"><a name="l01469"></a><span class="lineno"> 1469</span>  flatbuffers::Offset<serializer::ByteData> flatBuffersData = serializer::CreateByteData(</div><div class="line"><a name="l01470"></a><span class="lineno"> 1470</span>  m_flatBufferBuilder,</div><div class="line"><a name="l01471"></a><span class="lineno"> 1471</span>  fbVector);</div><div class="line"><a name="l01472"></a><span class="lineno"> 1472</span>  fbPayload = flatBuffersData.o;</div><div class="line"><a name="l01473"></a><span class="lineno"> 1473</span>  }</div><div class="line"><a name="l01474"></a><span class="lineno"> 1474</span>  }</div><div class="line"><a name="l01475"></a><span class="lineno"> 1475</span>  flatbuffers::Offset<serializer::ConstTensor> flatBufferConstTensor = serializer::CreateConstTensor(</div><div class="line"><a name="l01476"></a><span class="lineno"> 1476</span>  m_flatBufferBuilder,</div><div class="line"><a name="l01477"></a><span class="lineno"> 1477</span>  flatBufferTensorInfo,</div><div class="line"><a name="l01478"></a><span class="lineno"> 1478</span>  <a class="code" href="namespacearmnn_serializer.xhtml#af7a4f31739f602d7d78a056ebed19d04">GetFlatBufferConstTensorData</a>(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>()),</div><div class="line"><a name="l01479"></a><span class="lineno"> 1479</span>  fbPayload);</div><div class="line"><a name="l01480"></a><span class="lineno"> 1480</span>  <span class="keywordflow">return</span> flatBufferConstTensor;</div><div class="line"><a name="l01481"></a><span class="lineno"> 1481</span> }</div><div class="line"><a name="l01482"></a><span class="lineno"> 1482</span> </div><div class="line"><a name="l01483"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer_visitor.xhtml#a7594572286ad32d17d57eaa4cdde53f9"> 1483</a></span> flatbuffers::Offset<armnnSerializer::FeatureCompatibilityVersions> SerializerVisitor::GetVersionTable()</div><div class="line"><a name="l01484"></a><span class="lineno"> 1484</span> {</div><div class="line"><a name="l01485"></a><span class="lineno"> 1485</span>  flatbuffers::Offset<armnnSerializer::FeatureCompatibilityVersions> versionsTable =</div><div class="line"><a name="l01486"></a><span class="lineno"> 1486</span>  serializer::CreateFeatureCompatibilityVersions(</div><div class="line"><a name="l01487"></a><span class="lineno"> 1487</span>  m_flatBufferBuilder,</div><div class="line"><a name="l01488"></a><span class="lineno"> 1488</span>  1 <span class="comment">// Binding ids scheme version</span></div><div class="line"><a name="l01489"></a><span class="lineno"> 1489</span>  );</div><div class="line"><a name="l01490"></a><span class="lineno"> 1490</span>  <span class="keywordflow">return</span> versionsTable;</div><div class="line"><a name="l01491"></a><span class="lineno"> 1491</span> }</div><div class="line"><a name="l01492"></a><span class="lineno"> 1492</span> </div><div class="line"><a name="l01493"></a><span class="lineno"> 1493</span> std::vector<fb::Offset<serializer::InputSlot>></div><div class="line"><a name="l01494"></a><span class="lineno"> 1494</span>  SerializerVisitor::CreateInputSlots(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer)</div><div class="line"><a name="l01495"></a><span class="lineno"> 1495</span> {</div><div class="line"><a name="l01496"></a><span class="lineno"> 1496</span>  std::vector<fb::Offset<serializer::InputSlot>> inputSlots;</div><div class="line"><a name="l01497"></a><span class="lineno"> 1497</span> </div><div class="line"><a name="l01498"></a><span class="lineno"> 1498</span>  <span class="comment">// Get the InputSlots</span></div><div class="line"><a name="l01499"></a><span class="lineno"> 1499</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIndex = 0; slotIndex<layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a>(); ++slotIndex)</div><div class="line"><a name="l01500"></a><span class="lineno"> 1500</span>  {</div><div class="line"><a name="l01501"></a><span class="lineno"> 1501</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_input_slot.xhtml">IInputSlot</a>& inputSlot = layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(slotIndex);</div><div class="line"><a name="l01502"></a><span class="lineno"> 1502</span> </div><div class="line"><a name="l01503"></a><span class="lineno"> 1503</span>  <span class="comment">// Get the Connection for the InputSlot</span></div><div class="line"><a name="l01504"></a><span class="lineno"> 1504</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">IOutputSlot</a>* connection = inputSlot.<a class="code" href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">GetConnection</a>();</div><div class="line"><a name="l01505"></a><span class="lineno"> 1505</span> </div><div class="line"><a name="l01506"></a><span class="lineno"> 1506</span>  <span class="comment">// Create FlatBuffer Connection</span></div><div class="line"><a name="l01507"></a><span class="lineno"> 1507</span>  serializer::Connection conn(GetSerializedId(inputSlot.<a class="code" href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">GetConnection</a>()-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ad0c3555b126975ad6b3e250fe2a59534">GetOwningLayerGuid</a>()),</div><div class="line"><a name="l01508"></a><span class="lineno"> 1508</span>  connection-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a41d30a9cd272e05986d71a69d6ad618b">CalculateIndexOnOwner</a>());</div><div class="line"><a name="l01509"></a><span class="lineno"> 1509</span>  <span class="comment">// Create FlatBuffer InputSlot</span></div><div class="line"><a name="l01510"></a><span class="lineno"> 1510</span>  inputSlots.push_back(serializer::CreateInputSlot(m_flatBufferBuilder, slotIndex, &conn));</div><div class="line"><a name="l01511"></a><span class="lineno"> 1511</span>  }</div><div class="line"><a name="l01512"></a><span class="lineno"> 1512</span>  <span class="keywordflow">return</span> inputSlots;</div><div class="line"><a name="l01513"></a><span class="lineno"> 1513</span> }</div><div class="line"><a name="l01514"></a><span class="lineno"> 1514</span> </div><div class="line"><a name="l01515"></a><span class="lineno"> 1515</span> std::vector<fb::Offset<serializer::OutputSlot>></div><div class="line"><a name="l01516"></a><span class="lineno"> 1516</span>  SerializerVisitor::CreateOutputSlots(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer)</div><div class="line"><a name="l01517"></a><span class="lineno"> 1517</span> {</div><div class="line"><a name="l01518"></a><span class="lineno"> 1518</span>  std::vector<fb::Offset<serializer::OutputSlot>> outputSlots;</div><div class="line"><a name="l01519"></a><span class="lineno"> 1519</span> </div><div class="line"><a name="l01520"></a><span class="lineno"> 1520</span>  <span class="comment">// Get the OutputSlots</span></div><div class="line"><a name="l01521"></a><span class="lineno"> 1521</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIndex = 0; slotIndex < layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a>(); ++slotIndex)</div><div class="line"><a name="l01522"></a><span class="lineno"> 1522</span>  {</div><div class="line"><a name="l01523"></a><span class="lineno"> 1523</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">IOutputSlot</a>& outputSlot = layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(slotIndex);</div><div class="line"><a name="l01524"></a><span class="lineno"> 1524</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensorInfo = outputSlot.<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>();</div><div class="line"><a name="l01525"></a><span class="lineno"> 1525</span> </div><div class="line"><a name="l01526"></a><span class="lineno"> 1526</span>  <span class="comment">// Get the dimensions</span></div><div class="line"><a name="l01527"></a><span class="lineno"> 1527</span>  std::vector<unsigned int> shape;</div><div class="line"><a name="l01528"></a><span class="lineno"> 1528</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dim = 0; dim < tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>().<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); ++dim)</div><div class="line"><a name="l01529"></a><span class="lineno"> 1529</span>  {</div><div class="line"><a name="l01530"></a><span class="lineno"> 1530</span>  shape.push_back(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[dim]);</div><div class="line"><a name="l01531"></a><span class="lineno"> 1531</span>  }</div><div class="line"><a name="l01532"></a><span class="lineno"> 1532</span> </div><div class="line"><a name="l01533"></a><span class="lineno"> 1533</span>  <span class="comment">// Create FlatBuffer TensorInfo</span></div><div class="line"><a name="l01534"></a><span class="lineno"> 1534</span>  <span class="keyword">auto</span> flatBufferTensorInfo = serializer::CreateTensorInfo(m_flatBufferBuilder,</div><div class="line"><a name="l01535"></a><span class="lineno"> 1535</span>  m_flatBufferBuilder.CreateVector(shape),</div><div class="line"><a name="l01536"></a><span class="lineno"> 1536</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a27876085f01a54e1995bc0b3ea96ce41">GetFlatBufferDataType</a>(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>()),</div><div class="line"><a name="l01537"></a><span class="lineno"> 1537</span>  tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(),</div><div class="line"><a name="l01538"></a><span class="lineno"> 1538</span>  tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</div><div class="line"><a name="l01539"></a><span class="lineno"> 1539</span> </div><div class="line"><a name="l01540"></a><span class="lineno"> 1540</span>  <span class="comment">// Create FlatBuffer Outputslot</span></div><div class="line"><a name="l01541"></a><span class="lineno"> 1541</span>  outputSlots.push_back(serializer::CreateOutputSlot(m_flatBufferBuilder,</div><div class="line"><a name="l01542"></a><span class="lineno"> 1542</span>  slotIndex,</div><div class="line"><a name="l01543"></a><span class="lineno"> 1543</span>  flatBufferTensorInfo));</div><div class="line"><a name="l01544"></a><span class="lineno"> 1544</span>  }</div><div class="line"><a name="l01545"></a><span class="lineno"> 1545</span>  <span class="keywordflow">return</span> outputSlots;</div><div class="line"><a name="l01546"></a><span class="lineno"> 1546</span> }</div><div class="line"><a name="l01547"></a><span class="lineno"> 1547</span> </div><div class="line"><a name="l01548"></a><span class="lineno"> 1548</span> </div><div class="line"><a name="l01549"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_i_serializer.xhtml#a782a973f05e8615c6dc9441b0dba067f"> 1549</a></span> <a class="code" href="classarmnn_serializer_1_1_i_serializer.xhtml">ISerializer</a>* ISerializer::CreateRaw()</div><div class="line"><a name="l01550"></a><span class="lineno"> 1550</span> {</div><div class="line"><a name="l01551"></a><span class="lineno"> 1551</span>  <span class="keywordflow">return</span> <span class="keyword">new</span> <a class="code" href="classarmnn_serializer_1_1_serializer.xhtml">Serializer</a>();</div><div class="line"><a name="l01552"></a><span class="lineno"> 1552</span> }</div><div class="line"><a name="l01553"></a><span class="lineno"> 1553</span> </div><div class="line"><a name="l01554"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_i_serializer.xhtml#a3c51b5b078572dee02528bfae7202524"> 1554</a></span> <a class="code" href="namespacearmnn_serializer.xhtml#a550a83250b3ddebf15d5c13c224e3609">ISerializerPtr</a> ISerializer::Create()</div><div class="line"><a name="l01555"></a><span class="lineno"> 1555</span> {</div><div class="line"><a name="l01556"></a><span class="lineno"> 1556</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn_serializer.xhtml#a550a83250b3ddebf15d5c13c224e3609">ISerializerPtr</a>(CreateRaw(), &ISerializer::Destroy);</div><div class="line"><a name="l01557"></a><span class="lineno"> 1557</span> }</div><div class="line"><a name="l01558"></a><span class="lineno"> 1558</span> </div><div class="line"><a name="l01559"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_i_serializer.xhtml#a97f01015b8ee3badf4dc3ce4cd6a70c8"> 1559</a></span> <span class="keywordtype">void</span> ISerializer::Destroy(<a class="code" href="classarmnn_serializer_1_1_i_serializer.xhtml">ISerializer</a>* <a class="code" href="namespacearmnn_serializer.xhtml">serializer</a>)</div><div class="line"><a name="l01560"></a><span class="lineno"> 1560</span> {</div><div class="line"><a name="l01561"></a><span class="lineno"> 1561</span>  <span class="keyword">delete</span> serializer;</div><div class="line"><a name="l01562"></a><span class="lineno"> 1562</span> }</div><div class="line"><a name="l01563"></a><span class="lineno"> 1563</span> </div><div class="line"><a name="l01564"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer.xhtml#a62dbb19d4776b489161b699f608f0150"> 1564</a></span> <span class="keywordtype">void</span> Serializer::Serialize(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_network.xhtml">INetwork</a>& inNetwork)</div><div class="line"><a name="l01565"></a><span class="lineno"> 1565</span> {</div><div class="line"><a name="l01566"></a><span class="lineno"> 1566</span>  <span class="comment">// Iterate through to network</span></div><div class="line"><a name="l01567"></a><span class="lineno"> 1567</span>  inNetwork.<a class="code" href="classarmnn_1_1_i_network.xhtml#a8c9198a992b02e61a6777329d487dde3">Accept</a>(m_SerializerVisitor);</div><div class="line"><a name="l01568"></a><span class="lineno"> 1568</span>  flatbuffers::FlatBufferBuilder& fbBuilder = m_SerializerVisitor.GetFlatBufferBuilder();</div><div class="line"><a name="l01569"></a><span class="lineno"> 1569</span> </div><div class="line"><a name="l01570"></a><span class="lineno"> 1570</span>  <span class="comment">// Create FlatBuffer SerializedGraph</span></div><div class="line"><a name="l01571"></a><span class="lineno"> 1571</span>  <span class="keyword">auto</span> serializedGraph = serializer::CreateSerializedGraph(</div><div class="line"><a name="l01572"></a><span class="lineno"> 1572</span>  fbBuilder,</div><div class="line"><a name="l01573"></a><span class="lineno"> 1573</span>  fbBuilder.CreateVector(m_SerializerVisitor.GetSerializedLayers()),</div><div class="line"><a name="l01574"></a><span class="lineno"> 1574</span>  fbBuilder.CreateVector(m_SerializerVisitor.GetInputIds()),</div><div class="line"><a name="l01575"></a><span class="lineno"> 1575</span>  fbBuilder.CreateVector(m_SerializerVisitor.GetOutputIds()),</div><div class="line"><a name="l01576"></a><span class="lineno"> 1576</span>  m_SerializerVisitor.GetVersionTable());</div><div class="line"><a name="l01577"></a><span class="lineno"> 1577</span> </div><div class="line"><a name="l01578"></a><span class="lineno"> 1578</span>  <span class="comment">// Serialize the graph</span></div><div class="line"><a name="l01579"></a><span class="lineno"> 1579</span>  fbBuilder.Finish(serializedGraph);</div><div class="line"><a name="l01580"></a><span class="lineno"> 1580</span> }</div><div class="line"><a name="l01581"></a><span class="lineno"> 1581</span> </div><div class="line"><a name="l01582"></a><span class="lineno"><a class="line" href="classarmnn_serializer_1_1_serializer.xhtml#af21f36069c661c4afa7221a305de80e0"> 1582</a></span> <span class="keywordtype">bool</span> Serializer::SaveSerializedToStream(std::ostream& stream)</div><div class="line"><a name="l01583"></a><span class="lineno"> 1583</span> {</div><div class="line"><a name="l01584"></a><span class="lineno"> 1584</span>  flatbuffers::FlatBufferBuilder& fbBuilder = m_SerializerVisitor.GetFlatBufferBuilder();</div><div class="line"><a name="l01585"></a><span class="lineno"> 1585</span> </div><div class="line"><a name="l01586"></a><span class="lineno"> 1586</span>  <span class="keyword">auto</span> bytesToWrite = <a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a><std::streamsize>(fbBuilder.GetSize());</div><div class="line"><a name="l01587"></a><span class="lineno"> 1587</span>  stream.write(reinterpret_cast<const char*>(fbBuilder.GetBufferPointer()), bytesToWrite);</div><div class="line"><a name="l01588"></a><span class="lineno"> 1588</span>  <span class="keywordflow">return</span> !stream.bad();</div><div class="line"><a name="l01589"></a><span class="lineno"> 1589</span> }</div><div class="line"><a name="l01590"></a><span class="lineno"> 1590</span> </div><div class="line"><a name="l01591"></a><span class="lineno"> 1591</span> } <span class="comment">// namespace armnnSerializer</span></div><div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::Convolution2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00428">Descriptors.hpp:428</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::Convolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00438">Descriptors.hpp:438</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a></div></div> +<div class="ttc" id="_ignore_unused_8hpp_xhtml"><div class="ttname"><a href="_ignore_unused_8hpp.xhtml">IgnoreUnused.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_l2_normalization_descriptor_xhtml_a11c821c7524251004a72ed13c510853c"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">armnn::L2NormalizationDescriptor::m_Eps</a></div><div class="ttdeci">float m_Eps</div><div class="ttdoc">Used to avoid dividing by zero. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00604">Descriptors.hpp:604</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_ac2dac3b61c94de52093616be4ab17f8d"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">armnn::IConnectableLayer::GetNumOutputSlots</a></div><div class="ttdeci">virtual unsigned int GetNumOutputSlots() const =0</div><div class="ttdoc">Returns the number of connectable output slots. </div></div> +<div class="ttc" id="namespacearmnn_serializer_xhtml_ae4ba1925d55937fdb1770852ff0554bf"><div class="ttname"><a href="namespacearmnn_serializer.xhtml#ae4ba1925d55937fdb1770852ff0554bf">armnnSerializer::GetFlatBufferUnaryOperation</a></div><div class="ttdeci">armnnSerializer::UnaryOperation GetFlatBufferUnaryOperation(armnn::UnaryOperation comparisonOperation)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.xhtml#l00084">SerializerUtils.cpp:84</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a6c9de81fc65b3c4924cab11907075a17"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">armnn::LstmDescriptor::m_ProjectionEnabled</a></div><div class="ttdeci">bool m_ProjectionEnabled</div><div class="ttdoc">Enable/disable the projection layer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00871">Descriptors.hpp:871</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::Convolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00440">Descriptors.hpp:440</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml_ab03e6e1514f74427916c892f473fe04c"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#ab03e6e1514f74427916c892f473fe04c">armnn::LstmInputParams::m_ProjectionWeights</a></div><div class="ttdeci">const ConstTensor * m_ProjectionWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00055">LstmParams.hpp:55</a></div></div> +<div class="ttc" id="structarmnn_1_1_elementwise_unary_descriptor_xhtml_afe768be66897eb3d73284424e3239b23"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#afe768be66897eb3d73284424e3239b23">armnn::ElementwiseUnaryDescriptor::m_Operation</a></div><div class="ttdeci">UnaryOperation m_Operation</div><div class="ttdoc">Specifies the elementwiseUnary operation to execute. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00098">Descriptors.hpp:98</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_a94645f29b99800c2e57acc4832519a53"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a94645f29b99800c2e57acc4832519a53">armnn::QuantizedLstmInputParams::GetRecurrentToOutputWeights</a></div><div class="ttdeci">const ConstTensor & GetRecurrentToOutputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00093">QuantizedLstmParams.hpp:93</a></div></div> +<div class="ttc" id="structarmnn_1_1_stack_descriptor_xhtml_ab218de7805899c8412d75d1fd1d846d2"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">armnn::StackDescriptor::m_Axis</a></div><div class="ttdeci">uint32_t m_Axis</div><div class="ttdoc">0-based axis along which to stack the input tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00972">Descriptors.hpp:972</a></div></div> +<div class="ttc" id="structarmnn_1_1_views_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml">armnn::ViewsDescriptor</a></div><div class="ttdoc">A ViewsDescriptor for the SplitterLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00190">Descriptors.hpp:190</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00061">INetwork.hpp:61</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_ab509802c659de19929f18bad14a35c58"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ab509802c659de19929f18bad14a35c58">armnn::DetectionPostProcessDescriptor::m_ScaleW</a></div><div class="ttdeci">float m_ScaleW</div><div class="ttdoc">Center size encoding scale weight. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00545">Descriptors.hpp:545</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml_a4a9d678146f572808a361dbdc5489f38"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a4a9d678146f572808a361dbdc5489f38">armnn::LstmInputParams::m_CellBias</a></div><div class="ttdeci">const ConstTensor * m_CellBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00053">LstmParams.hpp:53</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::Pooling2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00355">Descriptors.hpp:355</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::DepthwiseConvolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00490">Descriptors.hpp:490</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_a9c2cba04b6d7ace4fc2a2436b82a5a63"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">armnn::IConnectableLayer::GetNumInputSlots</a></div><div class="ttdeci">virtual unsigned int GetNumInputSlots() const =0</div><div class="ttdoc">Returns the number of connectable input slots. </div></div> +<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_a8526ea7cf860d8e7f8340e9f9354f9f0"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a8526ea7cf860d8e7f8340e9f9354f9f0">armnn::NormalizationDescriptor::m_K</a></div><div class="ttdeci">float m_K</div><div class="ttdoc">Kappa value used for the across channel normalization equation. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00585">Descriptors.hpp:585</a></div></div> +<div class="ttc" id="structarmnn_1_1_softmax_descriptor_xhtml_a214c3636fdf0ea5bac8edb42d0e6c7f0"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">armnn::SoftmaxDescriptor::m_Axis</a></div><div class="ttdeci">int m_Axis</div><div class="ttdoc">Scalar, defaulted to the last index (-1), specifying the dimension the activation will be performed o...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00138">Descriptors.hpp:138</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">armnn::TransposeConvolution2dDescriptor</a></div><div class="ttdoc">A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01079">Descriptors.hpp:1079</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00088">Tensor.hpp:88</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::DepthwiseConvolution2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00480">Descriptors.hpp:480</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::Pooling2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00349">Descriptors.hpp:349</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a86e88bef0df4df96df752b4b8955a3af"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a86e88bef0df4df96df752b4b8955a3af">armnn::LstmDescriptor::m_ClippingThresProj</a></div><div class="ttdeci">float m_ClippingThresProj</div><div class="ttdoc">Clipping threshold value for the projection. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00865">Descriptors.hpp:865</a></div></div> +<div class="ttc" id="classarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional< armnn::ConstTensor ></a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a6d0384878432cfc9652b7ae8bc59506f"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6d0384878432cfc9652b7ae8bc59506f">armnn::StridedSliceDescriptor::m_ShrinkAxisMask</a></div><div class="ttdeci">int32_t m_ShrinkAxisMask</div><div class="ttdoc">Shrink axis mask value. If set, the nth specification shrinks the dimensionality by 1...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01054">Descriptors.hpp:1054</a></div></div> +<div class="ttc" id="structarmnn_1_1_reshape_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.xhtml">armnn::ReshapeDescriptor</a></div><div class="ttdoc">A ReshapeDescriptor for the ReshapeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00758">Descriptors.hpp:758</a></div></div> +<div class="ttc" id="namespacearmnn_serializer_xhtml"><div class="ttname"><a href="namespacearmnn_serializer.xhtml">armnnSerializer</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_serializer_8hpp_source.xhtml#l00011">ISerializer.hpp:11</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_a8ad69d6d46b4b12f47fbe6032c9b7a18"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a8ad69d6d46b4b12f47fbe6032c9b7a18">armnn::QuantizedLstmInputParams::GetRecurrentToForgetWeights</a></div><div class="ttdeci">const ConstTensor & GetRecurrentToForgetWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00083">QuantizedLstmParams.hpp:83</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a118fe06b7c2599da60398ee311ede923"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a118fe06b7c2599da60398ee311ede923">armnn::StridedSliceDescriptor::m_Begin</a></div><div class="ttdeci">std::vector< int > m_Begin</div><div class="ttdoc">Begin values for the input that will be sliced. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01041">Descriptors.hpp:1041</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml_afe204ca375b74e9a72640c9227918d0a"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#afe204ca375b74e9a72640c9227918d0a">armnn::LstmInputParams::m_CellToOutputWeights</a></div><div class="ttdeci">const ConstTensor * m_CellToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00050">LstmParams.hpp:50</a></div></div> +<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml_a410fa919f78af0f0f100bd1594eca4ab"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a410fa919f78af0f0f100bd1594eca4ab">armnn::PadDescriptor::m_PadValue</a></div><div class="ttdeci">float m_PadValue</div><div class="ttdoc">Optional value to use for padding, defaults to 0. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00923">Descriptors.hpp:923</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::DepthwiseConvolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00492">Descriptors.hpp:492</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::StridedSliceDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01062">Descriptors.hpp:1062</a></div></div> +<div class="ttc" id="structarmnn_1_1_views_descriptor_xhtml_a78e8266be865fdd92cadd04d6e25ae1f"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">armnn::ViewsDescriptor::GetNumDimensions</a></div><div class="ttdeci">uint32_t GetNumDimensions() const</div><div class="ttdoc">Get the number of dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00292">Descriptors.cpp:292</a></div></div> +<div class="ttc" id="structarmnn_1_1_comparison_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml">armnn::ComparisonDescriptor</a></div><div class="ttdoc">A ComparisonDescriptor for the ComparisonLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00062">Descriptors.hpp:62</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_ae64523937ea910030ad66fee6fddd51f"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae64523937ea910030ad66fee6fddd51f">armnn::DetectionPostProcessDescriptor::m_ScaleX</a></div><div class="ttdeci">float m_ScaleX</div><div class="ttdoc">Center size encoding scale x. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00541">Descriptors.hpp:541</a></div></div> +<div class="ttc" id="structarmnn_1_1_stack_descriptor_xhtml_a2bea87b470268bb0b73457c3733dbc04"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml#a2bea87b470268bb0b73457c3733dbc04">armnn::StackDescriptor::m_InputShape</a></div><div class="ttdeci">TensorShape m_InputShape</div><div class="ttdoc">Required shape of all input tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00976">Descriptors.hpp:976</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_bilinear_descriptor_xhtml_adcf5037208faac36c0788239a073f75c"><div class="ttname"><a href="structarmnn_1_1_resize_bilinear_descriptor.xhtml#adcf5037208faac36c0788239a073f75c">armnn::ResizeBilinearDescriptor::m_TargetWidth</a></div><div class="ttdeci">uint32_t m_TargetWidth</div><div class="ttdoc">Target width value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00716">Descriptors.hpp:716</a></div></div> +<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_xhtml_a281fcaec86e17c97f7b8402633f6b55a"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml#a281fcaec86e17c97f7b8402633f6b55a">armnn::FullyConnectedDescriptor::m_TransposeWeightMatrix</a></div><div class="ttdeci">bool m_TransposeWeightMatrix</div><div class="ttdoc">Enable/disable transpose weight matrix. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00388">Descriptors.hpp:388</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_bilinear_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_resize_bilinear_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::ResizeBilinearDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00720">Descriptors.hpp:720</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a6d8fb685cc1ff224f25aa127fcf62c86"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">armnn::Pooling2dDescriptor::m_PoolWidth</a></div><div class="ttdeci">uint32_t m_PoolWidth</div><div class="ttdoc">Pooling width value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00357">Descriptors.hpp:357</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_a89f3c8b72e3a802240156915141de5ca"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a89f3c8b72e3a802240156915141de5ca">armnn::QuantizedLstmInputParams::GetCellBias</a></div><div class="ttdeci">const ConstTensor & GetCellBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00108">QuantizedLstmParams.hpp:108</a></div></div> +<div class="ttc" id="namespacearmnn_serializer_xhtml_aa5f62540b7f991c1522cf9c43fc005ee"><div class="ttname"><a href="namespacearmnn_serializer.xhtml#aa5f62540b7f991c1522cf9c43fc005ee">armnnSerializer::GetFlatBufferOutputShapeRounding</a></div><div class="ttdeci">armnnSerializer::OutputShapeRounding GetFlatBufferOutputShapeRounding(armnn::OutputShapeRounding outputShapeRounding)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.xhtml#l00117">SerializerUtils.cpp:117</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaae77f3ad25595e35b327334d89410054">armnn::ActivationFunction::Sqrt</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00392">Descriptors.hpp:392</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_a174279be57d7596eeb04c6b7f7510f99"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a174279be57d7596eeb04c6b7f7510f99">armnn::NormalizationDescriptor::m_Alpha</a></div><div class="ttdeci">float m_Alpha</div><div class="ttdoc">Alpha value for the normalization equation. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00581">Descriptors.hpp:581</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::DepthwiseConvolution2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00474">Descriptors.hpp:474</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::TransposeConvolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01117">Descriptors.hpp:1117</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml_a484bafa2f8453a7c5a4a00b92a61b006"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a484bafa2f8453a7c5a4a00b92a61b006">armnn::LstmInputParams::m_CellToInputWeights</a></div><div class="ttdeci">const ConstTensor * m_CellToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00048">LstmParams.hpp:48</a></div></div> +<div class="ttc" id="classarmnn_1_1profiling_1_1_profiling_guid_xhtml"><div class="ttname"><a href="classarmnn_1_1profiling_1_1_profiling_guid.xhtml">armnn::profiling::ProfilingGuid</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00252">Types.hpp:252</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaacb7667f5ec2f6e8a5943b781ba6c2735">armnn::ActivationFunction::LeakyReLu</a></div></div> +<div class="ttc" id="_quantized_lstm_params_8hpp_xhtml"><div class="ttname"><a href="_quantized_lstm_params_8hpp.xhtml">QuantizedLstmParams.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_a869254cb56968986a78a79e1d6d4a86b"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a869254cb56968986a78a79e1d6d4a86b">armnn::ResizeDescriptor::m_Method</a></div><div class="ttdeci">ResizeMethod m_Method</div><div class="ttdoc">The Interpolation method to use (Bilinear, NearestNeighbor). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00749">Descriptors.hpp:749</a></div></div> +<div class="ttc" id="structarmnn_1_1_instance_normalization_descriptor_xhtml_a5e078fd505aef7bccaa05c8058e096cc"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a5e078fd505aef7bccaa05c8058e096cc">armnn::InstanceNormalizationDescriptor::m_Gamma</a></div><div class="ttdeci">float m_Gamma</div><div class="ttdoc">Gamma, the scale scalar value applied for the normalized tensor. Defaults to 1.0. ...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00647">Descriptors.hpp:647</a></div></div> +<div class="ttc" id="structarmnn_1_1_softmax_descriptor_xhtml_a8275d51ef9a584feb95726ea0522f6e5"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">armnn::SoftmaxDescriptor::m_Beta</a></div><div class="ttdeci">float m_Beta</div><div class="ttdoc">Exponentiation value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00136">Descriptors.hpp:136</a></div></div> +<div class="ttc" id="structarmnn_1_1_slice_descriptor_xhtml_ab52cabf19232290fa6b49828ba957ac0"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml#ab52cabf19232290fa6b49828ba957ac0">armnn::SliceDescriptor::m_Size</a></div><div class="ttdeci">std::vector< unsigned int > m_Size</div><div class="ttdoc">Size of the slice in each dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00946">Descriptors.hpp:946</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_xhtml_a11c821c7524251004a72ed13c510853c"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">armnn::BatchNormalizationDescriptor::m_Eps</a></div><div class="ttdeci">float m_Eps</div><div class="ttdoc">Value to add to the variance. Used to avoid dividing by zero. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00623">Descriptors.hpp:623</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml_a9e081a9b94defb30d1558dc912507e0e"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a9e081a9b94defb30d1558dc912507e0e">armnn::LstmInputParams::m_InputGateBias</a></div><div class="ttdeci">const ConstTensor * m_InputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00051">LstmParams.hpp:51</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a8c29d6ea9b4186d69aad5961c910939c"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c">armnn::Pooling2dDescriptor::m_PaddingMethod</a></div><div class="ttdeci">PaddingMethod m_PaddingMethod</div><div class="ttdoc">The padding method to be used. (Exclude, IgnoreValue). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00367">Descriptors.hpp:367</a></div></div> +<div class="ttc" id="structarmnn_1_1_arg_min_max_descriptor_xhtml_ab1ae6f520bb1a4da191a0ae907477f23"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml#ab1ae6f520bb1a4da191a0ae907477f23">armnn::ArgMinMaxDescriptor::m_Function</a></div><div class="ttdeci">ArgMinMaxFunction m_Function</div><div class="ttdoc">Specify if the function is to find Min or Max. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00056">Descriptors.hpp:56</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a7e2f87544b8bc7e497e1dec8d3ca4055"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7e2f87544b8bc7e497e1dec8d3ca4055">armnn::DetectionPostProcessDescriptor::m_DetectionsPerClass</a></div><div class="ttdeci">uint32_t m_DetectionsPerClass</div><div class="ttdoc">Detections per classes, used in Regular NMS. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00531">Descriptors.hpp:531</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::BatchNormalizationDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00625">Descriptors.hpp:625</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::BatchToSpaceNdDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00684">Descriptors.hpp:684</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::ActivationFunction::Abs</a></div></div> +<div class="ttc" id="namespacearmnn_serializer_xhtml_aac3bf4453f8a909ca23f290089df8ff1"><div class="ttname"><a href="namespacearmnn_serializer.xhtml#aac3bf4453f8a909ca23f290089df8ff1">armnnSerializer::GetFlatBufferActivationFunction</a></div><div class="ttdeci">serializer::ActivationFunction GetFlatBufferActivationFunction(armnn::ActivationFunction function)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_8cpp_source.xhtml#l00027">Serializer.cpp:27</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_network_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml">armnn::INetwork</a></div><div class="ttdoc">Main network class which provides the interface for building up a neural network. ...</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00105">INetwork.hpp:105</a></div></div> +<div class="ttc" id="namespacearmnn_serializer_xhtml_ac813f02c91c348db92b5a40ecfa0135e"><div class="ttname"><a href="namespacearmnn_serializer.xhtml#ac813f02c91c348db92b5a40ecfa0135e">armnnSerializer::GetFlatBufferNormalizationAlgorithmMethod</a></div><div class="ttdeci">armnnSerializer::NormalizationAlgorithmMethod GetFlatBufferNormalizationAlgorithmMethod(armnn::NormalizationAlgorithmMethod normalizationAlgorithmMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.xhtml#l00155">SerializerUtils.cpp:155</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::Pooling2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00353">Descriptors.hpp:353</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml_a1759754ccb88ecc9af44f3aae6e244ee"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a1759754ccb88ecc9af44f3aae6e244ee">armnn::LstmInputParams::m_RecurrentToCellWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00046">LstmParams.hpp:46</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::Convolution2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00424">Descriptors.hpp:424</a></div></div> +<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::NormalizationDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00587">Descriptors.hpp:587</a></div></div> +<div class="ttc" id="classarmnn_1_1_base_tensor_xhtml_aa81f67ac64f0c249e26499600c45d996"><div class="ttname"><a href="classarmnn_1_1_base_tensor.xhtml#aa81f67ac64f0c249e26499600c45d996">armnn::BaseTensor::GetMemoryArea</a></div><div class="ttdeci">MemoryType GetMemoryArea() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00177">Tensor.hpp:177</a></div></div> +<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::m_PadList</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > m_PadList</div><div class="ttdoc">Specifies the padding for input dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00920">Descriptors.hpp:920</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml_af0f796fba1a2be9c56b4c9ee534577ee"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#af0f796fba1a2be9c56b4c9ee534577ee">armnn::LstmInputParams::m_ForgetLayerNormWeights</a></div><div class="ttdeci">const ConstTensor * m_ForgetLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00058">LstmParams.hpp:58</a></div></div> +<div class="ttc" id="structarmnn_1_1_views_descriptor_xhtml_a35546e7b56e6e972a495b48748478ede"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#a35546e7b56e6e972a495b48748478ede">armnn::ViewsDescriptor::GetNumViews</a></div><div class="ttdeci">uint32_t GetNumViews() const</div><div class="ttdoc">Get the number of views. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00287">Descriptors.cpp:287</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml_a35b112e30c3eb153806a2a8c16d178e3"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a35b112e30c3eb153806a2a8c16d178e3">armnn::LstmInputParams::m_CellToForgetWeights</a></div><div class="ttdeci">const ConstTensor * m_CellToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00049">LstmParams.hpp:49</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml">armnn::QuantizedLstmInputParams</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00013">QuantizedLstmParams.hpp:13</a></div></div> +<div class="ttc" id="_lstm_params_8hpp_xhtml"><div class="ttname"><a href="_lstm_params_8hpp.xhtml">LstmParams.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::TransposeConvolution2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01111">Descriptors.hpp:1111</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a61081be1483984e33db452c75d569f51"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a61081be1483984e33db452c75d569f51">armnn::StridedSliceDescriptor::m_BeginMask</a></div><div class="ttdeci">int32_t m_BeginMask</div><div class="ttdoc">Begin mask value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01049">Descriptors.hpp:1049</a></div></div> +<div class="ttc" id="classarmnn_1_1_permutation_vector_xhtml_a490ec6b59006d1fe1ec2ea30e69fb97c"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.xhtml#a490ec6b59006d1fe1ec2ea30e69fb97c">armnn::PermutationVector::GetSize</a></div><div class="ttdeci">SizeType GetSize() const</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00202">Types.hpp:202</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">armnn::Convolution2dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation along y axis. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00436">Descriptors.hpp:436</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_ac37e49c0d6e6e54f9d2015d0f11f8ee7"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#ac37e49c0d6e6e54f9d2015d0f11f8ee7">armnn::StridedSliceDescriptor::m_EndMask</a></div><div class="ttdeci">int32_t m_EndMask</div><div class="ttdoc">End mask value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01052">Descriptors.hpp:1052</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml">armnn::SpaceToDepthDescriptor</a></div><div class="ttdoc">A SpaceToDepthDescriptor for the SpaceToDepthLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00810">Descriptors.hpp:810</a></div></div> +<div class="ttc" id="classarmnn_1_1_optional_reference_switch_xhtml_a77c7d528ac063d870b8c8426ec81c1c3"><div class="ttname"><a href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">armnn::OptionalReferenceSwitch::value</a></div><div class="ttdeci">const T & value() const</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00146">Optional.hpp:146</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_a477440c44fe870fb6f2486bf68214395"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a477440c44fe870fb6f2486bf68214395">armnn::QuantizedLstmInputParams::GetInputToOutputWeights</a></div><div class="ttdeci">const ConstTensor & GetInputToOutputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00073">QuantizedLstmParams.hpp:73</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">armnn::SpaceToBatchNdDescriptor::m_PadList</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > m_PadList</div><div class="ttdoc">Specifies the padding values for the input dimension: heightPad{top, bottom} widthPad{left, right}. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00804">Descriptors.hpp:804</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">armnn::DepthwiseConvolution2dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation factor value for height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00488">Descriptors.hpp:488</a></div></div> +<div class="ttc" id="namespacearmnn_serializer_xhtml_af7a4f31739f602d7d78a056ebed19d04"><div class="ttname"><a href="namespacearmnn_serializer.xhtml#af7a4f31739f602d7d78a056ebed19d04">armnnSerializer::GetFlatBufferConstTensorData</a></div><div class="ttdeci">armnnSerializer::ConstTensorData GetFlatBufferConstTensorData(armnn::DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.xhtml#l00031">SerializerUtils.cpp:31</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">armnn::BatchToSpaceNdDescriptor</a></div><div class="ttdoc">A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00657">Descriptors.hpp:657</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::Pooling2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00361">Descriptors.hpp:361</a></div></div> +<div class="ttc" id="structarmnn_1_1_permute_descriptor_xhtml_a14433af2b223695b40d8c8f8ba2ebb8f"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">armnn::PermuteDescriptor::m_DimMappings</a></div><div class="ttdeci">PermutationVector m_DimMappings</div><div class="ttdoc">Indicates how to translate tensor elements from a given source into the target destination, when source and target potentially have different memory layouts e.g. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00119">Descriptors.hpp:119</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ab8cf8f9fb6792e654c2d8d8382f6f01b"><div class="ttname"><a href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a></div><div class="ttdeci">int LayerBindingId</div><div class="ttdoc">Type of identifiers for bindable layers (inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00171">Types.hpp:171</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml_a8c0f6d48705f40c5590dde09be262222"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a8c0f6d48705f40c5590dde09be262222">armnn::LstmInputParams::m_OutputGateBias</a></div><div class="ttdeci">const ConstTensor * m_OutputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00054">LstmParams.hpp:54</a></div></div> +<div class="ttc" id="namespacearmnn_serializer_xhtml_a27876085f01a54e1995bc0b3ea96ce41"><div class="ttname"><a href="namespacearmnn_serializer.xhtml#a27876085f01a54e1995bc0b3ea96ce41">armnnSerializer::GetFlatBufferDataType</a></div><div class="ttdeci">armnnSerializer::DataType GetFlatBufferDataType(armnn::DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.xhtml#l00049">SerializerUtils.cpp:49</a></div></div> +<div class="ttc" id="structarmnn_1_1_stand_in_descriptor_xhtml_abb8a2d2bb8cc594c26aaa70c820ac5cc"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml#abb8a2d2bb8cc594c26aaa70c820ac5cc">armnn::StandInDescriptor::m_NumOutputs</a></div><div class="ttdeci">uint32_t m_NumOutputs</div><div class="ttdoc">Number of output tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00998">Descriptors.hpp:998</a></div></div> +<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_a05945f080edf694b631960728b87aadb"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a05945f080edf694b631960728b87aadb">armnn::NormalizationDescriptor::m_NormMethodType</a></div><div class="ttdeci">NormalizationAlgorithmMethod m_NormMethodType</div><div class="ttdoc">Normalization method algorithm to use (LocalBrightness, LocalContrast). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00577">Descriptors.hpp:577</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml">armnn::ResizeDescriptor</a></div><div class="ttdoc">A ResizeDescriptor for the ResizeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00724">Descriptors.hpp:724</a></div></div> +<div class="ttc" id="structarmnn_1_1_l2_normalization_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::L2NormalizationDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00606">Descriptors.hpp:606</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a9ae2c9796692ebeafe19a4d3f09c8ea8"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a9ae2c9796692ebeafe19a4d3f09c8ea8">armnn::DetectionPostProcessDescriptor::m_MaxClassesPerDetection</a></div><div class="ttdeci">uint32_t m_MaxClassesPerDetection</div><div class="ttdoc">Maximum numbers of classes per detection, used in Fast NMS. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00529">Descriptors.hpp:529</a></div></div> +<div class="ttc" id="structarmnn_1_1_mean_descriptor_xhtml_a1f0d67b087c491248bd1cde3ff995a95"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml#a1f0d67b087c491248bd1cde3ff995a95">armnn::MeanDescriptor::m_Axis</a></div><div class="ttdeci">std::vector< unsigned int > m_Axis</div><div class="ttdoc">Values for the dimensions to reduce. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00895">Descriptors.hpp:895</a></div></div> +<div class="ttc" id="structarmnn_1_1_stack_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml">armnn::StackDescriptor</a></div><div class="ttdoc">A StackDescriptor for the StackLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00950">Descriptors.hpp:950</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::SpaceToBatchNdDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00806">Descriptors.hpp:806</a></div></div> +<div class="ttc" id="namespacearmnn_serializer_xhtml_a6fcb1eefde815b0b7465a689c8d26b50"><div class="ttname"><a href="namespacearmnn_serializer.xhtml#a6fcb1eefde815b0b7465a689c8d26b50">armnnSerializer::GetFlatBufferArgMinMaxFunction</a></div><div class="ttdeci">serializer::ArgMinMaxFunction GetFlatBufferArgMinMaxFunction(armnn::ArgMinMaxFunction function)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_8cpp_source.xhtml#l00058">Serializer.cpp:58</a></div></div> +<div class="ttc" id="structarmnn_1_1_reshape_descriptor_xhtml_a1178f4dafdda81f59c15145ec327f7d9"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.xhtml#a1178f4dafdda81f59c15145ec327f7d9">armnn::ReshapeDescriptor::m_TargetShape</a></div><div class="ttdeci">TensorShape m_TargetShape</div><div class="ttdoc">Target shape value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00774">Descriptors.hpp:774</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a5699e8606c37d18c03910b242cd1b010"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">armnn::Pooling2dDescriptor::m_PoolHeight</a></div><div class="ttdeci">uint32_t m_PoolHeight</div><div class="ttdoc">Pooling height value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00359">Descriptors.hpp:359</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::Convolution2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00426">Descriptors.hpp:426</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_ae72089bcab60ac175557f4241b16a014"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014">armnn::DetectionPostProcessDescriptor::m_MaxDetections</a></div><div class="ttdeci">uint32_t m_MaxDetections</div><div class="ttdoc">Maximum numbers of detections. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00527">Descriptors.hpp:527</a></div></div> +<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml">armnn::PadDescriptor</a></div><div class="ttdoc">A PadDescriptor for the PadLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00901">Descriptors.hpp:901</a></div></div> +<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml_ab78e6fe963508c1ac5c00d04bb3361a3"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#ab78e6fe963508c1ac5c00d04bb3361a3">armnn::OriginsDescriptor::GetViewOrigin</a></div><div class="ttdeci">const uint32_t * GetViewOrigin(uint32_t idx) const</div><div class="ttdoc">Return the view origin at the int value idx. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00189">Descriptors.cpp:189</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::Convolution2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00430">Descriptors.hpp:430</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml_a0cd848f65ec31778d708852f0042fe37"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a0cd848f65ec31778d708852f0042fe37">armnn::LstmInputParams::m_InputLayerNormWeights</a></div><div class="ttdeci">const ConstTensor * m_InputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00057">LstmParams.hpp:57</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_a928f70dd19a2b0d3e9b75c27a2099c44"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a928f70dd19a2b0d3e9b75c27a2099c44">armnn::QuantizedLstmInputParams::GetInputToCellWeights</a></div><div class="ttdeci">const ConstTensor & GetInputToCellWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00068">QuantizedLstmParams.hpp:68</a></div></div> +<div class="ttc" id="namespacearmnn_serializer_xhtml_af279947f1e42035d0f611e5b8cd70cb2"><div class="ttname"><a href="namespacearmnn_serializer.xhtml#af279947f1e42035d0f611e5b8cd70cb2">armnnSerializer::GetFlatBufferNormalizationAlgorithmChannel</a></div><div class="ttdeci">armnnSerializer::NormalizationAlgorithmChannel GetFlatBufferNormalizationAlgorithmChannel(armnn::NormalizationAlgorithmChannel normalizationAlgorithmChannel)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.xhtml#l00141">SerializerUtils.cpp:141</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::DepthwiseConvolution2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00482">Descriptors.hpp:482</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a53c8a7f33a40e1e240256bcfcf41b101"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a53c8a7f33a40e1e240256bcfcf41b101">armnn::DetectionPostProcessDescriptor::m_NmsIouThreshold</a></div><div class="ttdeci">float m_NmsIouThreshold</div><div class="ttdoc">Intersection over union threshold. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00535">Descriptors.hpp:535</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml_a56b81ca8ba4b4937e0787e4951f043fc"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a56b81ca8ba4b4937e0787e4951f043fc">armnn::LstmInputParams::m_RecurrentToOutputWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00047">LstmParams.hpp:47</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml">armnn::LstmDescriptor</a></div><div class="ttdoc">An LstmDescriptor for the LstmLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00837">Descriptors.hpp:837</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::Pooling2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00351">Descriptors.hpp:351</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::DepthwiseConvolution2dDescriptor::m_DilationX</a></div><div class="ttdeci">uint32_t m_DilationX</div><div class="ttdoc">Dilation factor value for width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00486">Descriptors.hpp:486</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::DepthwiseConvolution2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00478">Descriptors.hpp:478</a></div></div> +<div class="ttc" id="structarmnn_1_1_slice_descriptor_xhtml_a4939f00778f08d6c6fec6f74c0a59b7e"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml#a4939f00778f08d6c6fec6f74c0a59b7e">armnn::SliceDescriptor::m_Begin</a></div><div class="ttdeci">std::vector< unsigned int > m_Begin</div><div class="ttdoc">Beginning indices of the slice in each dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00943">Descriptors.hpp:943</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a7c91eda2b331d607bae92cd8ebf50bb9"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a7c91eda2b331d607bae92cd8ebf50bb9">armnn::StridedSliceDescriptor::m_NewAxisMask</a></div><div class="ttdeci">int32_t m_NewAxisMask</div><div class="ttdoc">New axis mask value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01059">Descriptors.hpp:1059</a></div></div> +<div class="ttc" id="structarmnn_1_1_mean_descriptor_xhtml_a28e0548abfc4e79c48f29a3d11a062e9"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">armnn::MeanDescriptor::m_KeepDims</a></div><div class="ttdeci">bool m_KeepDims</div><div class="ttdoc">Enable/disable keep dimensions. If true, then the reduced dimensions that are of length 1 are kept...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00897">Descriptors.hpp:897</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_xhtml_a02e143524aefddd40b485fcf7dea6696"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">armnn::BatchToSpaceNdDescriptor::m_BlockShape</a></div><div class="ttdeci">std::vector< unsigned int > m_BlockShape</div><div class="ttdoc">Block shape values. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00680">Descriptors.hpp:680</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a></div></div> +<div class="ttc" id="structarmnn_1_1_instance_normalization_descriptor_xhtml_a11c821c7524251004a72ed13c510853c"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">armnn::InstanceNormalizationDescriptor::m_Eps</a></div><div class="ttdeci">float m_Eps</div><div class="ttdoc">Epsilon, small scalar value added to variance to avoid dividing by zero. Defaults to 1e-12f...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00651">Descriptors.hpp:651</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a></div><div class="ttdoc">An output connection slot for a layer. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00037">INetwork.hpp:37</a></div></div> +<div class="ttc" id="structarmnn_1_1_l2_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.xhtml">armnn::L2NormalizationDescriptor</a></div><div class="ttdoc">A L2NormalizationDescriptor for the L2NormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00591">Descriptors.hpp:591</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml_a44b0e6b16708df7f0d2bbab141688aaa"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a44b0e6b16708df7f0d2bbab141688aaa">armnn::LstmInputParams::m_ProjectionBias</a></div><div class="ttdeci">const ConstTensor * m_ProjectionBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00056">LstmParams.hpp:56</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a770b51078da02f44a819e9f95d8058b5"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">armnn::TensorInfo::GetQuantizationOffset</a></div><div class="ttdeci">int32_t GetQuantizationOffset() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00264">Tensor.cpp:264</a></div></div> +<div class="ttc" id="structarmnn_1_1_arg_min_max_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml">armnn::ArgMinMaxDescriptor</a></div><div class="ttdoc">An ArgMinMaxDescriptor for ArgMinMaxLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00043">Descriptors.hpp:43</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a047ca888c43bd7fb5702853bf72410d0"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">armnn::TensorInfo::GetQuantizationScale</a></div><div class="ttdeci">float GetQuantizationScale() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00247">Tensor.cpp:247</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00095">Tensor.hpp:95</a></div></div> +<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml">armnn::OriginsDescriptor</a></div><div class="ttdoc">An OriginsDescriptor for the ConcatLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00147">Descriptors.hpp:147</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="classarmnn_1_1_optional_base_xhtml_a86b749ce2c4bc627fa8a1fcfaf0e314f"><div class="ttname"><a href="classarmnn_1_1_optional_base.xhtml#a86b749ce2c4bc627fa8a1fcfaf0e314f">armnn::OptionalBase::has_value</a></div><div class="ttdeci">bool has_value() const noexcept</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00053">Optional.hpp:53</a></div></div> +<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml">armnn::FullyConnectedDescriptor</a></div><div class="ttdoc">A FullyConnectedDescriptor for the FullyConnectedLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00373">Descriptors.hpp:373</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_af996d82c47e43a16f4c8faa6c6b3e030"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#af996d82c47e43a16f4c8faa6c6b3e030">armnn::StridedSliceDescriptor::m_EllipsisMask</a></div><div class="ttdeci">int32_t m_EllipsisMask</div><div class="ttdoc">Ellipsis mask value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01056">Descriptors.hpp:1056</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_afb5e65c770f6cee222db8af7581541a6"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#afb5e65c770f6cee222db8af7581541a6">armnn::IConnectableLayer::GetGuid</a></div><div class="ttdeci">virtual LayerGuid GetGuid() const =0</div><div class="ttdoc">Returns the unique id of the layer. </div></div> +<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::FullyConnectedDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00386">Descriptors.hpp:386</a></div></div> +<div class="ttc" id="classarmnn_1_1_const_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00199">Tensor.hpp:199</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml">armnn::LstmInputParams</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00013">LstmParams.hpp:13</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_adcf5037208faac36c0788239a073f75c"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#adcf5037208faac36c0788239a073f75c">armnn::ResizeDescriptor::m_TargetWidth</a></div><div class="ttdeci">uint32_t m_TargetWidth</div><div class="ttdoc">Target width value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00744">Descriptors.hpp:744</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_a23d6133552ba91cc0571517896792ea4"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a23d6133552ba91cc0571517896792ea4">armnn::QuantizedLstmInputParams::GetInputToInputWeights</a></div><div class="ttdeci">const ConstTensor & GetInputToInputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00058">QuantizedLstmParams.hpp:58</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a2837b4396f20c956952d1a7286cab5f8"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">armnn::LstmDescriptor::m_PeepholeEnabled</a></div><div class="ttdeci">bool m_PeepholeEnabled</div><div class="ttdoc">Enable/disable peephole. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00869">Descriptors.hpp:869</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a3a04b0ccee4bb2f21721ee5045e83df4"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4">armnn::DetectionPostProcessDescriptor::m_NumClasses</a></div><div class="ttdeci">uint32_t m_NumClasses</div><div class="ttdoc">Number of classes. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00537">Descriptors.hpp:537</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::TransposeConvolution2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01109">Descriptors.hpp:1109</a></div></div> +<div class="ttc" id="classarmnn_serializer_1_1_i_serializer_xhtml"><div class="ttname"><a href="classarmnn_serializer_1_1_i_serializer.xhtml">armnnSerializer::ISerializer</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_serializer_8hpp_source.xhtml#l00017">ISerializer.hpp:17</a></div></div> +<div class="ttc" id="structarmnn_1_1_stand_in_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml">armnn::StandInDescriptor</a></div><div class="ttdoc">A StandInDescriptor for the StandIn layer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00980">Descriptors.hpp:980</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_a41d30a9cd272e05986d71a69d6ad618b"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a41d30a9cd272e05986d71a69d6ad618b">armnn::IOutputSlot::CalculateIndexOnOwner</a></div><div class="ttdeci">virtual unsigned int CalculateIndexOnOwner() const =0</div></div> +<div class="ttc" id="namespacearmnn_xhtml_a37fa39012e90d568df7f774cd6d1e956"><div class="ttname"><a href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">armnn::numeric_cast</a></div><div class="ttdeci">std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)</div><div class="ttdef"><b>Definition:</b> <a href="_numeric_cast_8hpp_source.xhtml#l00033">NumericCast.hpp:33</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a7ed9bc7c26df67d274d5dd4cd83adf0f"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7ed9bc7c26df67d274d5dd4cd83adf0f">armnn::DetectionPostProcessDescriptor::m_UseRegularNms</a></div><div class="ttdeci">bool m_UseRegularNms</div><div class="ttdoc">Use Regular NMS. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00539">Descriptors.hpp:539</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::TransposeConvolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01119">Descriptors.hpp:1119</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml_a02e143524aefddd40b485fcf7dea6696"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">armnn::SpaceToBatchNdDescriptor::m_BlockShape</a></div><div class="ttdeci">std::vector< unsigned int > m_BlockShape</div><div class="ttdoc">Block shape value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00801">Descriptors.hpp:801</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a0d53caff836b84204adbd1c28752a201"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a0d53caff836b84204adbd1c28752a201">armnn::StridedSliceDescriptor::m_Stride</a></div><div class="ttdeci">std::vector< int > m_Stride</div><div class="ttdoc">Stride values for the input that will be sliced. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01045">Descriptors.hpp:1045</a></div></div> +<div class="ttc" id="_serializer_utils_8hpp_xhtml"><div class="ttname"><a href="_serializer_utils_8hpp.xhtml">SerializerUtils.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00020">Descriptors.hpp:20</a></div></div> +<div class="ttc" id="_serializer_8hpp_xhtml"><div class="ttname"><a href="_serializer_8hpp.xhtml">Serializer.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_base_tensor_xhtml_a8aeddebdcf02e1832b22203c08a6b678"><div class="ttname"><a href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">armnn::BaseTensor::GetInfo</a></div><div class="ttdeci">const TensorInfo & GetInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00167">Tensor.hpp:167</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a></div><div class="ttdoc">min(a, max(b, input)) ReLu1 & ReLu6. </div></div> +<div class="ttc" id="structarmnn_1_1_resize_bilinear_descriptor_xhtml_a46c3fa15c46fb0d1dcdc24d0ea5cb5cd"><div class="ttname"><a href="structarmnn_1_1_resize_bilinear_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">armnn::ResizeBilinearDescriptor::m_TargetHeight</a></div><div class="ttdeci">uint32_t m_TargetHeight</div><div class="ttdoc">Target height value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00718">Descriptors.hpp:718</a></div></div> +<div class="ttc" id="structarmnn_1_1_stack_descriptor_xhtml_aed6086070440ceb94129bef06f70173f"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">armnn::StackDescriptor::m_NumInputs</a></div><div class="ttdeci">uint32_t m_NumInputs</div><div class="ttdoc">Number of input tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00974">Descriptors.hpp:974</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_a46c3fa15c46fb0d1dcdc24d0ea5cb5cd"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">armnn::ResizeDescriptor::m_TargetHeight</a></div><div class="ttdeci">uint32_t m_TargetHeight</div><div class="ttdoc">Target height value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00746">Descriptors.hpp:746</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_ae1b07ed928036004bd257169e5aeeef4"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#ae1b07ed928036004bd257169e5aeeef4">armnn::LstmDescriptor::m_ActivationFunc</a></div><div class="ttdeci">uint32_t m_ActivationFunc</div><div class="ttdoc">The activation function to use. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00861">Descriptors.hpp:861</a></div></div> +<div class="ttc" id="structarmnn_1_1_slice_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml">armnn::SliceDescriptor</a></div><div class="ttdoc">A SliceDescriptor for the SliceLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00927">Descriptors.hpp:927</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Convolution2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00432">Descriptors.hpp:432</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_a715696f29b5376cbb8aaec0b77a092af"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a715696f29b5376cbb8aaec0b77a092af">armnn::QuantizedLstmInputParams::GetForgetGateBias</a></div><div class="ttdeci">const ConstTensor & GetForgetGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00103">QuantizedLstmParams.hpp:103</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a531a3907ec13d3772370da88030191a5"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a531a3907ec13d3772370da88030191a5">armnn::LstmDescriptor::m_ClippingThresCell</a></div><div class="ttdeci">float m_ClippingThresCell</div><div class="ttdoc">Clipping threshold value for the cell state. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00863">Descriptors.hpp:863</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_xhtml_a6c6b8957f1e176867e5fb05b1a1a1486"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6c6b8957f1e176867e5fb05b1a1a1486">armnn::SpaceToDepthDescriptor::m_BlockSize</a></div><div class="ttdeci">unsigned int m_BlockSize</div><div class="ttdoc">Scalar specifying the input block size. It must be >= 1. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00827">Descriptors.hpp:827</a></div></div> +<div class="ttc" id="structarmnn_1_1_views_descriptor_xhtml_ab78e6fe963508c1ac5c00d04bb3361a3"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#ab78e6fe963508c1ac5c00d04bb3361a3">armnn::ViewsDescriptor::GetViewOrigin</a></div><div class="ttdeci">const uint32_t * GetViewOrigin(uint32_t idx) const</div><div class="ttdoc">Get the view origin at the int value idx. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00297">Descriptors.cpp:297</a></div></div> +<div class="ttc" id="structarmnn_1_1_instance_normalization_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::InstanceNormalizationDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00653">Descriptors.hpp:653</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::Pooling2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00369">Descriptors.hpp:369</a></div></div> +<div class="ttc" id="structarmnn_1_1_instance_normalization_descriptor_xhtml_a8275d51ef9a584feb95726ea0522f6e5"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">armnn::InstanceNormalizationDescriptor::m_Beta</a></div><div class="ttdeci">float m_Beta</div><div class="ttdoc">Beta, the offset scalar value applied for the normalized tensor. Defaults to 1.0. ...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00649">Descriptors.hpp:649</a></div></div> +<div class="ttc" id="namespacearmnn_serializer_xhtml_a6a38e099993f10c9262e0b5f2bff4fcd"><div class="ttname"><a href="namespacearmnn_serializer.xhtml#a6a38e099993f10c9262e0b5f2bff4fcd">armnnSerializer::GetFlatBufferDataLayout</a></div><div class="ttdeci">armnnSerializer::DataLayout GetFlatBufferDataLayout(armnn::DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.xhtml#l00072">SerializerUtils.cpp:72</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_aa61510cbd529870182e918ac6e8b9d72"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#aa61510cbd529870182e918ac6e8b9d72">armnn::DetectionPostProcessDescriptor::m_ScaleH</a></div><div class="ttdeci">float m_ScaleH</div><div class="ttdoc">Center size encoding scale height. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00547">Descriptors.hpp:547</a></div></div> +<div class="ttc" id="structarmnn_1_1_comparison_descriptor_xhtml_a865dc4f43cb0ff01a1dcf78036912fd1"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml#a865dc4f43cb0ff01a1dcf78036912fd1">armnn::ComparisonDescriptor::m_Operation</a></div><div class="ttdeci">ComparisonOperation m_Operation</div><div class="ttdoc">Specifies the comparison operation to execute. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00078">Descriptors.hpp:78</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_aa68194dd6258ab5b04123005a066ea25"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#aa68194dd6258ab5b04123005a066ea25">armnn::StridedSliceDescriptor::m_End</a></div><div class="ttdeci">std::vector< int > m_End</div><div class="ttdoc">End values for the input that will be sliced. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01043">Descriptors.hpp:1043</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml_ad0b8c32bb5381f4cc999093ba3b98b43"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#ad0b8c32bb5381f4cc999093ba3b98b43">armnn::LstmInputParams::m_CellLayerNormWeights</a></div><div class="ttdeci">const ConstTensor * m_CellLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00059">LstmParams.hpp:59</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml_ace7a1f1f1041b412b7d8ef82b95ff352"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#ace7a1f1f1041b412b7d8ef82b95ff352">armnn::LstmInputParams::m_ForgetGateBias</a></div><div class="ttdeci">const ConstTensor * m_ForgetGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00052">LstmParams.hpp:52</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">armnn::SpaceToBatchNdDescriptor</a></div><div class="ttdoc">A SpaceToBatchNdDescriptor for the SpaceToBatchNdLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00778">Descriptors.hpp:778</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml_a49e11acda22742cbaf6f1b259ead0d84"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a49e11acda22742cbaf6f1b259ead0d84">armnn::LstmInputParams::m_InputToCellWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00042">LstmParams.hpp:42</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml_a6e30c7b3451da3ea9cf4259fb602e6e6"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a6e30c7b3451da3ea9cf4259fb602e6e6">armnn::LstmInputParams::m_InputToOutputWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00043">LstmParams.hpp:43</a></div></div> +<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_afe1f0f09d49ad2befc01f8789187b7dd"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#afe1f0f09d49ad2befc01f8789187b7dd">armnn::NormalizationDescriptor::m_NormChannelType</a></div><div class="ttdeci">NormalizationAlgorithmChannel m_NormChannelType</div><div class="ttdoc">Normalization channel algorithm to use (Across, Within). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00575">Descriptors.hpp:575</a></div></div> +<div class="ttc" id="structarmnn_1_1_views_descriptor_xhtml_a3c1ab47a0a319413b3a4b5757ed5b80b"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#a3c1ab47a0a319413b3a4b5757ed5b80b">armnn::ViewsDescriptor::GetViewSizes</a></div><div class="ttdeci">const uint32_t * GetViewSizes(uint32_t idx) const</div><div class="ttdoc">Get the view sizes at the int value idx. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00332">Descriptors.cpp:332</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaed67cf7d54c570e4c4891800f085f41d">armnn::ActivationFunction::Elu</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00037">Descriptors.hpp:37</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::Convolution2dDescriptor::m_DilationX</a></div><div class="ttdeci">uint32_t m_DilationX</div><div class="ttdoc">Dilation along x axis. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00434">Descriptors.hpp:434</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_aba6d12c9d5671017b6711b80316069ff"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#aba6d12c9d5671017b6711b80316069ff">armnn::QuantizedLstmInputParams::GetInputGateBias</a></div><div class="ttdeci">const ConstTensor & GetInputGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00098">QuantizedLstmParams.hpp:98</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::SpaceToDepthDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00830">Descriptors.hpp:830</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_ad474e5c51a0b194ef32e812b86c0cbdb"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">armnn::LstmDescriptor::m_CifgEnabled</a></div><div class="ttdeci">bool m_CifgEnabled</div><div class="ttdoc">Enable/disable cifg (coupled input & forget gate). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00867">Descriptors.hpp:867</a></div></div> +<div class="ttc" id="namespacearmnn_serializer_xhtml_a550a83250b3ddebf15d5c13c224e3609"><div class="ttname"><a href="namespacearmnn_serializer.xhtml#a550a83250b3ddebf15d5c13c224e3609">armnnSerializer::ISerializerPtr</a></div><div class="ttdeci">std::unique_ptr< ISerializer, void(*)(ISerializer *serializer)> ISerializerPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_serializer_8hpp_source.xhtml#l00015">ISerializer.hpp:15</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::TransposeConvolution2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01105">Descriptors.hpp:1105</a></div></div> +<div class="ttc" id="namespacearmnn_serializer_xhtml_a1c88cccaeb232c6fe8022c7006bb21bc"><div class="ttname"><a href="namespacearmnn_serializer.xhtml#a1c88cccaeb232c6fe8022c7006bb21bc">armnnSerializer::GetFlatBufferComparisonOperation</a></div><div class="ttdeci">armnnSerializer::ComparisonOperation GetFlatBufferComparisonOperation(armnn::ComparisonOperation comparisonOperation)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.xhtml#l00011">SerializerUtils.cpp:11</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::TransposeConvolution2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01113">Descriptors.hpp:1113</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_network_xhtml_a8c9198a992b02e61a6777329d487dde3"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a8c9198a992b02e61a6777329d487dde3">armnn::INetwork::Accept</a></div><div class="ttdeci">virtual void Accept(ILayerVisitor &visitor) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_elementwise_unary_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">armnn::ElementwiseUnaryDescriptor</a></div><div class="ttdoc">A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00082">Descriptors.hpp:82</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a0031997bf43bd2747656c31e4977793a"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">armnn::Pooling2dDescriptor::m_PoolType</a></div><div class="ttdeci">PoolingAlgorithm m_PoolType</div><div class="ttdoc">The pooling algorithm to use (Max. Average, L2). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00347">Descriptors.hpp:347</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml_ae83131e16df1cace69395a5f99bc5ecb"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#ae83131e16df1cace69395a5f99bc5ecb">armnn::LstmInputParams::m_RecurrentToForgetWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00045">LstmParams.hpp:45</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::DepthwiseConvolution2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00484">Descriptors.hpp:484</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::TransposeConvolution2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01115">Descriptors.hpp:1115</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_xhtml_a3941f674c071c9503e00d2b59e92e454"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a3941f674c071c9503e00d2b59e92e454">armnn::BatchToSpaceNdDescriptor::m_Crops</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > m_Crops</div><div class="ttdoc">The values to crop from the input dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00682">Descriptors.hpp:682</a></div></div> +<div class="ttc" id="_descriptors_8hpp_xhtml"><div class="ttname"><a href="_descriptors_8hpp.xhtml">Descriptors.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00043">Tensor.hpp:43</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeae"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeae">armnn::ArgMinMaxFunction</a></div><div class="ttdeci">ArgMinMaxFunction</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00071">Types.hpp:71</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_affb5b68b3eba3ed45a06c7cde7781962"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">armnn::Pooling2dDescriptor::m_OutputShapeRounding</a></div><div class="ttdeci">OutputShapeRounding m_OutputShapeRounding</div><div class="ttdoc">The rounding method for the output shape. (Floor, Ceiling). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00365">Descriptors.hpp:365</a></div></div> +<div class="ttc" id="namespacearmnn_serializer_xhtml_a255a85366167a060a9e33ce2378f28a0"><div class="ttname"><a href="namespacearmnn_serializer.xhtml#a255a85366167a060a9e33ce2378f28a0">armnnSerializer::GetFlatBufferResizeMethod</a></div><div class="ttdeci">armnnSerializer::ResizeMethod GetFlatBufferResizeMethod(armnn::ResizeMethod method)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.xhtml#l00169">SerializerUtils.cpp:169</a></div></div> +<div class="ttc" id="structarmnn_1_1_stand_in_descriptor_xhtml_aed6086070440ceb94129bef06f70173f"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">armnn::StandInDescriptor::m_NumInputs</a></div><div class="ttdeci">uint32_t m_NumInputs</div><div class="ttdoc">Number of input tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00996">Descriptors.hpp:996</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_a63e34dd3e41262e750f7a54de8ca81d1"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a63e34dd3e41262e750f7a54de8ca81d1">armnn::QuantizedLstmInputParams::GetRecurrentToCellWeights</a></div><div class="ttdeci">const ConstTensor & GetRecurrentToCellWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00088">QuantizedLstmParams.hpp:88</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_a339c19855613274cf0ea13921af9e5a3"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a339c19855613274cf0ea13921af9e5a3">armnn::QuantizedLstmInputParams::GetInputToForgetWeights</a></div><div class="ttdeci">const ConstTensor & GetInputToForgetWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00063">QuantizedLstmParams.hpp:63</a></div></div> +<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml_a78e8266be865fdd92cadd04d6e25ae1f"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">armnn::OriginsDescriptor::GetNumDimensions</a></div><div class="ttdeci">uint32_t GetNumDimensions() const</div><div class="ttdoc">Get the number of dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00184">Descriptors.cpp:184</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_a6ec9e0eb66d7d6a01240492a0b18104c"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">armnn::IConnectableLayer::GetInputSlot</a></div><div class="ttdeci">virtual const IInputSlot & GetInputSlot(unsigned int index) const =0</div><div class="ttdoc">Get a const input slot handle by slot index. </div></div> +<div class="ttc" id="structarmnn_1_1_mean_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml">armnn::MeanDescriptor</a></div><div class="ttdoc">A MeanDescriptor for the MeanLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00877">Descriptors.hpp:877</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml_a435d3651482bbfcc11263b4e4e0c900f"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a435d3651482bbfcc11263b4e4e0c900f">armnn::LstmInputParams::m_RecurrentToInputWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00044">LstmParams.hpp:44</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_input_slot_xhtml_a81fbf6103761e55061b62ba989b00f10"><div class="ttname"><a href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">armnn::IInputSlot::GetConnection</a></div><div class="ttdeci">virtual const IOutputSlot * GetConnection() const =0</div></div> +<div class="ttc" id="namespacearmnn_serializer_xhtml_a30eb1e8d2a9b090243c4ededa17746b7"><div class="ttname"><a href="namespacearmnn_serializer.xhtml#a30eb1e8d2a9b090243c4ededa17746b7">armnnSerializer::GetFlatBufferPaddingMethod</a></div><div class="ttdeci">armnnSerializer::PaddingMethod GetFlatBufferPaddingMethod(armnn::PaddingMethod paddingMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.xhtml#l00129">SerializerUtils.cpp:129</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a4a8ec49f130084445d44297549254780"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">armnn::LstmDescriptor::m_LayerNormEnabled</a></div><div class="ttdeci">bool m_LayerNormEnabled</div><div class="ttdoc">Enable/disable layer normalization. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00873">Descriptors.hpp:873</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaaceb46ca115d05c51aa5a16a8867c3304">armnn::ActivationFunction::Square</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::TransposeConvolution2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01107">Descriptors.hpp:1107</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_ad2e53e6428416a65ae4ba566207cc6bf"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#ad2e53e6428416a65ae4ba566207cc6bf">armnn::QuantizedLstmInputParams::GetRecurrentToInputWeights</a></div><div class="ttdeci">const ConstTensor & GetRecurrentToInputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00078">QuantizedLstmParams.hpp:78</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml">armnn::TransposeDescriptor</a></div><div class="ttdoc">A TransposeDescriptor for the TransposeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01123">Descriptors.hpp:1123</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml">armnn::StridedSliceDescriptor</a></div><div class="ttdoc">A StridedSliceDescriptor for the StridedSliceLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01002">Descriptors.hpp:1002</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">armnn::IOutputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo & GetTensorInfo() const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_a80ac4eda2e7f2757ec9dd96fc96dbd16"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">armnn::IConnectableLayer::GetOutputSlot</a></div><div class="ttdeci">virtual const IOutputSlot & GetOutputSlot(unsigned int index) const =0</div><div class="ttdoc">Get the const output slot handle by slot index. </div></div> +<div class="ttc" id="structarmnn_1_1_arg_min_max_descriptor_xhtml_a214c3636fdf0ea5bac8edb42d0e6c7f0"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">armnn::ArgMinMaxDescriptor::m_Axis</a></div><div class="ttdeci">int m_Axis</div><div class="ttdoc">Axis to reduce across the input tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00058">Descriptors.hpp:58</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_afcc1c3a20bd2860e0ddd21674389246f"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#afcc1c3a20bd2860e0ddd21674389246f">armnn::IConnectableLayer::GetName</a></div><div class="ttdeci">virtual const char * GetName() const =0</div><div class="ttdoc">Returns the name of the layer. </div></div> +<div class="ttc" id="classarmnn_serializer_1_1_serializer_xhtml"><div class="ttname"><a href="classarmnn_serializer_1_1_serializer.xhtml">armnnSerializer::Serializer</a></div><div class="ttdef"><b>Definition:</b> <a href="_serializer_8hpp_source.xhtml#l00324">Serializer.hpp:324</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a7a2156ec7d9c012ce00bbcc6afcb9028"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7a2156ec7d9c012ce00bbcc6afcb9028">armnn::DetectionPostProcessDescriptor::m_ScaleY</a></div><div class="ttdeci">float m_ScaleY</div><div class="ttdoc">Center size encoding scale y. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00543">Descriptors.hpp:543</a></div></div> +<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml_a35546e7b56e6e972a495b48748478ede"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a35546e7b56e6e972a495b48748478ede">armnn::OriginsDescriptor::GetNumViews</a></div><div class="ttdeci">uint32_t GetNumViews() const</div><div class="ttdoc">Get the number of views. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00179">Descriptors.cpp:179</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a4392dd6b4862cc9cf95ae8f1001ba592"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a4392dd6b4862cc9cf95ae8f1001ba592">armnn::DetectionPostProcessDescriptor::m_NmsScoreThreshold</a></div><div class="ttdeci">float m_NmsScoreThreshold</div><div class="ttdoc">NMS score threshold. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00533">Descriptors.hpp:533</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_ad0c3555b126975ad6b3e250fe2a59534"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#ad0c3555b126975ad6b3e250fe2a59534">armnn::IOutputSlot::GetOwningLayerGuid</a></div><div class="ttdeci">virtual LayerGuid GetOwningLayerGuid() const =0</div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00313">Descriptors.hpp:313</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml_a9b18daea2e9f42386055326fd016519a"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a9b18daea2e9f42386055326fd016519a">armnn::LstmInputParams::m_OutputLayerNormWeights</a></div><div class="ttdeci">const ConstTensor * m_OutputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00060">LstmParams.hpp:60</a></div></div> +<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml">armnn::NormalizationDescriptor</a></div><div class="ttdoc">A NormalizationDescriptor for the NormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00551">Descriptors.hpp:551</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::ResizeDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00751">Descriptors.hpp:751</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml">armnn::DetectionPostProcessDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00495">Descriptors.hpp:495</a></div></div> +<div class="ttc" id="structarmnn_1_1_instance_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml">armnn::InstanceNormalizationDescriptor</a></div><div class="ttdoc">An InstanceNormalizationDescriptor for InstanceNormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00629">Descriptors.hpp:629</a></div></div> +<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml_a379929e3b277f1ef94f3ce645870589d"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a379929e3b277f1ef94f3ce645870589d">armnn::OriginsDescriptor::GetConcatAxis</a></div><div class="ttdeci">unsigned int GetConcatAxis() const</div><div class="ttdoc">Get the concatenation axis value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00154">Descriptors.cpp:154</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_bilinear_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_resize_bilinear_descriptor.xhtml">armnn::ResizeBilinearDescriptor</a></div><div class="ttdoc">A ResizeBilinearDescriptor for the ResizeBilinearLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00707">Descriptors.hpp:707</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa32a843da6ea40ab3b17a3421ccdf671b">armnn::ActivationFunction::Linear</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa0877e5b3fbe9d7569df6399609ed0186">armnn::ActivationFunction::HardSwish</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00039">Descriptors.hpp:39</a></div></div> +<div class="ttc" id="structarmnn_1_1_softmax_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::SoftmaxDescriptor</a></div><div class="ttdoc">A SoftmaxDescriptor for the SoftmaxLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00123">Descriptors.hpp:123</a></div></div> +<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_a8275d51ef9a584feb95726ea0522f6e5"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">armnn::NormalizationDescriptor::m_Beta</a></div><div class="ttdeci">float m_Beta</div><div class="ttdoc">Beta value for the normalization equation. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00583">Descriptors.hpp:583</a></div></div> +<div class="ttc" id="structarmnn_1_1_views_descriptor_xhtml_a88d7c8ef4baba3690a4d25eec350ecb3"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml#a88d7c8ef4baba3690a4d25eec350ecb3">armnn::ViewsDescriptor::GetOrigins</a></div><div class="ttdeci">const OriginsDescriptor & GetOrigins() const</div><div class="ttdoc">Get the View Origins. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00337">Descriptors.cpp:337</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_descriptor_xhtml_a14433af2b223695b40d8c8f8ba2ebb8f"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">armnn::TransposeDescriptor::m_DimMappings</a></div><div class="ttdeci">PermutationVector m_DimMappings</div><div class="ttdoc">Indicates how to translate tensor elements from a given source into the target destination, when source and target potentially have different memory layouts e.g. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01140">Descriptors.hpp:1140</a></div></div> +<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_aa70c05f1aad12fbd9d9ec43ea4557b03"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#aa70c05f1aad12fbd9d9ec43ea4557b03">armnn::NormalizationDescriptor::m_NormSize</a></div><div class="ttdeci">uint32_t m_NormSize</div><div class="ttdoc">Depth radius value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00579">Descriptors.hpp:579</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_a1691bf16df2cabf1a4b82aecbb021f31"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a1691bf16df2cabf1a4b82aecbb021f31">armnn::QuantizedLstmInputParams::GetOutputGateBias</a></div><div class="ttdeci">const ConstTensor & GetOutputGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00113">QuantizedLstmParams.hpp:113</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00035">Descriptors.hpp:35</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_input_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_input_slot.xhtml">armnn::IInputSlot</a></div><div class="ttdoc">An input connection slot for a layer. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00024">INetwork.hpp:24</a></div></div> +<div class="ttc" id="namespacearmnn_serializer_xhtml_ac2eceb2274af867d713fe44720fc2d4e"><div class="ttname"><a href="namespacearmnn_serializer.xhtml#ac2eceb2274af867d713fe44720fc2d4e">armnnSerializer::GetFlatBufferPoolingAlgorithm</a></div><div class="ttdeci">armnnSerializer::PoolingAlgorithm GetFlatBufferPoolingAlgorithm(armnn::PoolingAlgorithm poolingAlgorithm)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_utils_8cpp_source.xhtml#l00103">SerializerUtils.cpp:103</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Pooling2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00363">Descriptors.hpp:363</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">armnn::DepthwiseConvolution2dDescriptor</a></div><div class="ttdoc">A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00444">Descriptors.hpp:444</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml">armnn::BatchNormalizationDescriptor</a></div><div class="ttdoc">A BatchNormalizationDescriptor for the BatchNormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00610">Descriptors.hpp:610</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::Convolution2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00422">Descriptors.hpp:422</a></div></div> +<div class="ttc" id="classarmnn_1_1_base_tensor_xhtml_abcbdfb544ece4c31d0b37715ad0f3be0"><div class="ttname"><a href="classarmnn_1_1_base_tensor.xhtml#abcbdfb544ece4c31d0b37715ad0f3be0">armnn::BaseTensor::GetNumBytes</a></div><div class="ttdeci">unsigned int GetNumBytes() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00174">Tensor.hpp:174</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml_a31da1ead6794dd64571afdd0b6efc771"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#a31da1ead6794dd64571afdd0b6efc771">armnn::LstmInputParams::m_InputToForgetWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00041">LstmParams.hpp:41</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9ea"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a></div><div class="ttdeci">ActivationFunction</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00055">Types.hpp:55</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a></div></div> +<div class="ttc" id="structarmnn_1_1_permute_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml">armnn::PermuteDescriptor</a></div><div class="ttdoc">A PermuteDescriptor for the PermuteLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00102">Descriptors.hpp:102</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8hpp_source.xhtml#l00014">InternalTypes.hpp:14</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::DepthwiseConvolution2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00476">Descriptors.hpp:476</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::ActivationFunction::TanH</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_xhtml_affcee5f4ab5994a21bee3b78b4e43de3"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.xhtml#affcee5f4ab5994a21bee3b78b4e43de3">armnn::LstmInputParams::m_InputToInputWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00040">LstmParams.hpp:40</a></div></div> +<div class="ttc" id="_neon_end_to_end_tests_8cpp_xhtml_ac0981848e4ae57729f14f72bd4caa9f8"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.xhtml#ac0981848e4ae57729f14f72bd4caa9f8">anchors</a></div><div class="ttdeci">std::vector< float > anchors({ 0.5f, 0.5f, 1.0f, 1.0f, 0.5f, 0.5f, 1.0f, 1.0f, 0.5f, 0.5f, 1.0f, 1.0f, 0.5f, 10.5f, 1.0f, 1.0f, 0.5f, 10.5f, 1.0f, 1.0f, 0.5f, 100.5f, 1.0f, 1.0f })</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_bff0d59bec81fb3d13742442d8f4421d.xhtml">armnnSerializer</a></li><li class="navelem"><a class="el" href="_serializer_8cpp.xhtml">Serializer.cpp</a></li> + <li class="footer">Generated on Fri Mar 13 2020 16:09:09 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> |