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diff --git a/20.02/_ref_layer_support_8cpp_source.xhtml b/20.02/_ref_layer_support_8cpp_source.xhtml new file mode 100644 index 0000000000..9029ac797e --- /dev/null +++ b/20.02/_ref_layer_support_8cpp_source.xhtml @@ -0,0 +1,263 @@ +<!-- 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/backends/reference/RefLayerSupport.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('_ref_layer_support_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">RefLayerSupport.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_ref_layer_support_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="_ref_layer_support_8hpp.xhtml">RefLayerSupport.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="_types_utils_8hpp.xhtml">armnn/TypesUtils.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_types_8hpp.xhtml">armnn/Types.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_descriptors_8hpp.xhtml">armnn/Descriptors.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 <<a class="code" href="_layer_support_common_8hpp.xhtml">LayerSupportCommon.hpp</a>></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <<a class="code" href="_layer_support_rules_8hpp.xhtml">backendsCommon/LayerSupportRules.hpp</a>></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <boost/cast.hpp></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 <vector></span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include <array></span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="keyword">using namespace </span><a class="code" href="namespaceboost.xhtml">boost</a>;</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> </div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> {</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> <span class="keyword">namespace</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</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="keyword">template</span><<span class="keyword">typename</span> Float32Func, <span class="keyword">typename</span> Uint8Func, <span class="keyword">typename</span> ... Params></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keywordtype">bool</span> IsSupportedForDataTypeRef(Optional<std::string&> reasonIfUnsupported,</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType,</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  Float32Func floatFuncPtr,</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  Uint8Func uint8FuncPtr,</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  Params&&... params)</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#af6dbe371ec651a8e0063624fdf32afc0">IsSupportedForDataTypeGeneric</a>(reasonIfUnsupported,</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  dataType,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  &FalseFunc<Params...>,</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  floatFuncPtr,</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  uint8FuncPtr,</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  &FalseFunc<Params...>,</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  &FalseFunc<Params...>,</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  std::forward<Params>(params)...);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> }</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> } <span class="comment">// anonymous namespace</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> std::string CreateIncorrectDimensionsErrorMsg(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> expected,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> actual,</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  std::string& layerStr,</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  std::string& tensorName)</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>  std::string errorMsg = <span class="stringliteral">"Reference "</span> + layerStr + <span class="stringliteral">": Expected "</span> + std::to_string(expected) + <span class="stringliteral">" dimensions but got"</span> +</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="stringliteral">" "</span> + std::to_string(actual) + <span class="stringliteral">" dimensions instead, for the '"</span> + tensorName + <span class="stringliteral">"' tensor."</span>;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">return</span> errorMsg;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</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="comment">// anonymous namespace</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#abd7fa8c2233f8a653e30ae2f3b839d92"> 64</a></span> <span class="keywordtype">bool</span> RefLayerSupport::IsAbsSupported(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="keyword"></span>{</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">return</span> IsElementwiseUnarySupported(input,</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  output,</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a>(UnaryOperation::Abs),</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  reasonIfUnsupported);</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> </div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#ab3adb3a28736529682e4ff0ea976dcd3"> 73</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a58bfb9626d373249745d78b95543116e">RefLayerSupport::IsActivationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a>& descriptor,</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="keyword"></span>{</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="comment">// Define supported types.</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  std::array<DataType,6> supportedTypes = {</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  DataType::BFloat16,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  DataType::Float32,</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  DataType::Float16,</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  DataType::QAsymmS8,</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  DataType::QAsymmU8,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  DataType::QSymmS16</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> </div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="stringliteral">"Reference activation: input type not supported."</span>);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="stringliteral">"Reference activation: output type not supported."</span>);</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="stringliteral">"Reference activation: input and output types mismatched."</span>);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> </div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_shapes_are_same_rank.xhtml">ShapesAreSameRank</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="stringliteral">"Reference activation: input and output shapes are of different rank."</span>);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keyword">struct </span>ActivationFunctionSupported : <span class="keyword">public</span> <a class="code" href="structarmnn_1_1_rule.xhtml">Rule</a></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  {</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  ActivationFunctionSupported(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a>& desc)</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>  <span class="keywordflow">switch</span>(desc.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>)</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  {</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">case</span> ActivationFunction::Abs:</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">case</span> ActivationFunction::BoundedReLu:</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordflow">case</span> ActivationFunction::Elu:</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">case</span> ActivationFunction::HardSwish:</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordflow">case</span> ActivationFunction::LeakyReLu:</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">case</span> ActivationFunction::Linear:</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">case</span> ActivationFunction::ReLu:</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordflow">case</span> ActivationFunction::Sigmoid:</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">case</span> ActivationFunction::SoftReLu:</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">case</span> ActivationFunction::Sqrt:</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">case</span> ActivationFunction::Square:</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordflow">case</span> ActivationFunction::TanH:</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  {</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  m_Res = <span class="keyword">true</span>;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  }</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  {</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  m_Res = <span class="keyword">false</span>;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  }</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  }</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  }</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  };</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="comment">// Function is supported</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(ActivationFunctionSupported(descriptor), reasonIfUnsupported,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="stringliteral">"Reference activation: function not supported."</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="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> }</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a48177e22e47448adb3d83e145dadf735"> 141</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a1b01771dc5a057d09f8cd82492154a1f">RefLayerSupport::IsAdditionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> <span class="keyword"></span>{</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</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>  std::array<DataType,6> supportedTypes = {</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  DataType::BFloat16,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  DataType::Float32,</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  DataType::Float16,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  DataType::QAsymmS8,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  DataType::QAsymmU8,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  DataType::QSymmS16</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  };</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input0, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="stringliteral">"Reference addition: input 0 is not a supported type."</span>);</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input1, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="stringliteral">"Reference addition: input 1 is not a supported type."</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="stringliteral">"Reference addition: output is not a supported type."</span>);</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input0, input1), reasonIfUnsupported,</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="stringliteral">"Reference addition: input 0 and Input 1 types are mismatched"</span>);</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> </div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input0, output), reasonIfUnsupported,</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="stringliteral">"Reference addition: input and output types are mismatched"</span>);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_shapes_are_broadcast_compatible.xhtml">ShapesAreBroadcastCompatible</a>(input0, input1, output), reasonIfUnsupported,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="stringliteral">"Reference addition: shapes are not suitable for implicit broadcast."</span>);</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> </div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</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"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a0f4841f89f21fd794786b4c03c2425fd"> 178</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#aa8d5d17d1edd51d899fe699eb6156b58">RefLayerSupport::IsArgMinMaxSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &input, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &output,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</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="l00180"></a><span class="lineno"> 180</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<std::string &></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> <span class="keyword"></span>{</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  std::array<DataType, 5> supportedTypes =</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  {</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  DataType::BFloat16,</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  DataType::Float32,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  DataType::QAsymmU8,</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  DataType::QSymmS16,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  DataType::Signed32</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  };</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="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> </div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="stringliteral">"Reference ArgMinMax: input is not a supported type."</span>);</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_is.xhtml">TypeIs</a>(output, DataType::Signed32), reasonIfUnsupported,</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="stringliteral">"Reference ArgMinMax: output type not supported"</span>);</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>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> }</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> </div><div class="line"><a name="l00203"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a67c970dd054b991e14369de523ca3a5a"> 203</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a7d18d6613bb865b66b05d4d6e0391934">RefLayerSupport::IsBatchNormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& mean,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& variance,</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& beta,</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& gamma,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">BatchNormalizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> <span class="keyword"></span>{</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> </div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  std::array<DataType, 5> supportedTypes =</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  {</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  DataType::BFloat16,</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  DataType::Float32,</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  DataType::Float16,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  DataType::QAsymmU8,</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  DataType::QSymmS16</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  };</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> </div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="stringliteral">"Reference batch normalization: input is not a supported type."</span>);</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> </div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="stringliteral">"Reference batch normalization: output is not a supported type."</span>);</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="stringliteral">"Reference batch normalization: input and output types are mismatched"</span>);</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> </div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(mean, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="stringliteral">"Reference batch normalization: mean is not a supported type."</span>);</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> </div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(variance, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="stringliteral">"Reference batch normalization: variance is not a supported type."</span>);</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(beta, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="stringliteral">"Reference batch normalization: beta is not a supported type."</span>);</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> </div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(gamma, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="stringliteral">"Reference batch normalization: gamma is not a supported type."</span>);</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</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> </div><div class="line"><a name="l00249"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#adc5695cc25f4055c7ed54bdc8604a098"> 249</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a2399052d9cbb2b88720b07511a2e362f">RefLayerSupport::IsBatchToSpaceNdSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">BatchToSpaceNdDescriptor</a>& descriptor,</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> <span class="keyword"></span>{</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> </div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> </div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  std::string batchToSpaceNdLayerStr = <span class="stringliteral">"batchToSpaceNd"</span>;</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  std::string inputTensorStr = <span class="stringliteral">"input"</span>;</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  std::string outputTensorStr = <span class="stringliteral">"output"</span>;</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>  <span class="comment">// Define supported types.</span></div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  std::array<DataType,5> supportedTypes =</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  {</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  DataType::BFloat16,</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  DataType::Float32,</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  DataType::Float16,</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  DataType::QAsymmU8,</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  DataType::QSymmS16</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  };</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> </div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="stringliteral">"Reference BatchToSpaceNd: input type not supported."</span>);</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> </div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="stringliteral">"Reference BatchToSpaceNd: output type not supported."</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="stringliteral">"Reference BatchToSpaceNd: input and output types mismatched."</span>);</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> </div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_tensor_num_dimensions_are_correct.xhtml">TensorNumDimensionsAreCorrect</a>(output, 4),</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  reasonIfUnsupported,</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  CreateIncorrectDimensionsErrorMsg(4,</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  output.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  batchToSpaceNdLayerStr,</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  outputTensorStr).data());</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_tensor_num_dimensions_are_correct.xhtml">TensorNumDimensionsAreCorrect</a>(input, 4),</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  reasonIfUnsupported,</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  CreateIncorrectDimensionsErrorMsg(4,</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  input.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  batchToSpaceNdLayerStr,</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  inputTensorStr).data());</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="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> }</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span> </div><div class="line"><a name="l00298"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a7c52726a684dd76258c61af124012537"> 298</a></span> <span class="keywordtype">bool</span> RefLayerSupport::IsComparisonSupported(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</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_comparison_descriptor.xhtml">ComparisonDescriptor</a>& descriptor,</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span> <span class="keyword"></span>{</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</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>  std::array<DataType, 5> supportedInputTypes =</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>  DataType::BFloat16,</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  DataType::Float32,</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  DataType::Float16,</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  DataType::QAsymmU8,</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  DataType::QSymmS16</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  };</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span> </div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input0, supportedInputTypes), reasonIfUnsupported,</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="stringliteral">"Reference comparison: input 0 is not a supported type"</span>);</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span> </div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input0, input1), reasonIfUnsupported,</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="stringliteral">"Reference comparison: input 0 and Input 1 types are mismatched"</span>);</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span> </div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_is.xhtml">TypeIs</a>(output, DataType::Boolean), reasonIfUnsupported,</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="stringliteral">"Reference comparison: output is not of type Boolean"</span>);</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">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</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> </div><div class="line"><a name="l00328"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a3dca8ffbcb5f3afa1799aa7d354a3016"> 328</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a757df85e956e425c1a082d35a98ca4a9">RefLayerSupport::IsConcatSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*> inputs,</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">ConcatDescriptor</a>& descriptor,</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> <span class="keyword"></span>{</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span> </div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  std::array<DataType,6> supportedTypes =</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  {</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  DataType::BFloat16,</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  DataType::Float32,</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  DataType::Float16,</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  DataType::QAsymmU8,</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  DataType::QAsymmS8,</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  DataType::QSymmS16</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> </div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="stringliteral">"Reference concatenation: output type not supported"</span>);</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>* input : inputs)</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  {</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  BOOST_ASSERT(input != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(*input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="stringliteral">"Reference concatenation: input type not supported"</span>);</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span> </div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(*input, output), reasonIfUnsupported,</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="stringliteral">"Reference concatenation: input and output types mismatched."</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"> 357</span> </div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span> }</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span> </div><div class="line"><a name="l00361"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#adf18c4fa8fc9e0cdae1967990aa90fe8"> 361</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#acc76cdec78906a3457a9c2293a453869">RefLayerSupport::IsConstantSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> <span class="keyword"></span>{</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  std::array<DataType,7> supportedTypes =</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  {</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  DataType::BFloat16,</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  DataType::Float32,</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  DataType::Signed32,</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  DataType::QAsymmU8,</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  DataType::QAsymmS8,</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  DataType::QSymmS8,</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  DataType::QSymmS16</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  };</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span> </div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="stringliteral">"Reference constant: output is not a supported type."</span>);</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> </div><div class="line"><a name="l00379"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a1efcaf6f02892442fefca09f49ea3d7c"> 379</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#aaa152f86599af5189c9d637fe7ade6d0">RefLayerSupport::IsConvertFp16ToFp32Supported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span> <span class="keyword"></span>{</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keywordflow">return</span> (<a class="code" href="namespacearmnn.xhtml#af6dbe371ec651a8e0063624fdf32afc0">IsSupportedForDataTypeGeneric</a>(reasonIfUnsupported,</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  input.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>(),</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  &TrueFunc<>,</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  &FalseInputFuncF32<>,</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  &FalseFuncU8<>,</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  &FalseFuncI32<>,</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  &FalseFuncU8<>) &&</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <a class="code" href="namespacearmnn.xhtml#af6dbe371ec651a8e0063624fdf32afc0">IsSupportedForDataTypeGeneric</a>(reasonIfUnsupported,</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  output.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>(),</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  &FalseOutputFuncF16<>,</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  &TrueFunc<>,</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  &FalseFuncU8<>,</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  &FalseFuncI32<>,</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  &FalseFuncU8<>));</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span> }</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> </div><div class="line"><a name="l00399"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a91fb5f44d8b9427dc45443aa9ebfe13e"> 399</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a98994026cec1578ceb7aa74c834b00d9">RefLayerSupport::IsConvertFp32ToFp16Supported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span> <span class="keyword"></span>{</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keywordflow">return</span> (<a class="code" href="namespacearmnn.xhtml#af6dbe371ec651a8e0063624fdf32afc0">IsSupportedForDataTypeGeneric</a>(reasonIfUnsupported,</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  input.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>(),</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  &FalseInputFuncF16<>,</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  &TrueFunc<>,</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  &FalseFuncU8<>,</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  &FalseFuncI32<>,</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  &FalseFuncU8<>) &&</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <a class="code" href="namespacearmnn.xhtml#af6dbe371ec651a8e0063624fdf32afc0">IsSupportedForDataTypeGeneric</a>(reasonIfUnsupported,</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  output.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>(),</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  &TrueFunc<>,</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  &FalseOutputFuncF32<>,</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  &FalseFuncU8<>,</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  &FalseFuncI32<>,</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  &FalseFuncU8<>));</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span> }</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> </div><div class="line"><a name="l00419"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#af7ff06bd8115a6a9cc6d41e5c762798e"> 419</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#af22d4421773ce95e0f2324fc1a66c0d9">RefLayerSupport::IsConvolution2dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span> <span class="keyword"></span>{</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</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="comment">// Define supported types.</span></div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  std::array<DataType,7> supportedTypes =</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  {</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  DataType::BFloat16,</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  DataType::Float32,</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  DataType::Float16,</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  DataType::QAsymmU8,</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  DataType::QAsymmS8,</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  DataType::QSymmS8,</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  DataType::QSymmS16</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  };</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="stringliteral">"Reference Convolution2d: input is not a supported type."</span>);</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="stringliteral">"Reference Convolution2d: output is not a supported type."</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"> 446</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="stringliteral">"Reference Convolution2d: input and output types mismatched."</span>);</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span> </div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> inputType = input.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>();</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#ad91bc7bfe29186f5d78c28386c6c5309">IsQuantized8BitType</a>(inputType))</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>  <a class="code" href="_deprecated_8hpp.xhtml#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  std::array<DataType, 4> supportedWeightTypes =</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  {</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  DataType::QAsymmU8,</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  DataType::QSymmS8,</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  DataType::QAsymmS8,</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  DataType::QuantizedSymm8PerAxis <span class="comment">// deprecated</span></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>  <a class="code" href="_deprecated_8hpp.xhtml#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span> </div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(weights, supportedWeightTypes), reasonIfUnsupported,</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="stringliteral">"Reference Convolution2d: weights type not supported for quantized input."</span>);</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="keywordflow">else</span></div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  {</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(weights, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="stringliteral">"Reference Convolution2d: weights is not a supported type."</span>);</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, weights), reasonIfUnsupported,</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="stringliteral">"Reference Convolution2d: input and weights types mismatched."</span>);</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> </div><div class="line"><a name="l00474"></a><span class="lineno"> 474</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="l00475"></a><span class="lineno"> 475</span>  {</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  std::array<DataType,4> biasesSupportedTypes =</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>  DataType::BFloat16,</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  DataType::Float32,</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  DataType::Float16,</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  DataType::Signed32</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> </div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(biases.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>(), biasesSupportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="stringliteral">"Reference Convolution2d: biases is not a supported type."</span>);</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  }</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span> </div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span> }</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span> </div><div class="line"><a name="l00492"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a87a66c5e87a19534ce3e6c374c9b8f09"> 492</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a8b96de58aae24091d0ad761f27360630">RefLayerSupport::IsDebugSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span> <span class="keyword"></span>{</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</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>  std::array<DataType, 8> supportedTypes =</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>  DataType::BFloat16,</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  DataType::Float16,</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  DataType::Float32,</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  DataType::QAsymmU8,</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  DataType::QAsymmS8,</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  DataType::QSymmS8,</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  DataType::QSymmS16,</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  DataType::Signed32</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  };</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span> </div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="stringliteral">"Reference for Debug layer: input type not supported"</span>);</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span> </div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="stringliteral">"Reference for Debug layer: output type not supported"</span>);</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span> </div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="stringliteral">"Reference for Debug layer: input and output types are mismatched"</span>);</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span> </div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span> }</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span> </div><div class="line"><a name="l00522"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a128fb9890897e08251a3f621e570cd23"> 522</a></span> <span class="keywordtype">bool</span> RefLayerSupport::IsDepthToSpaceSupported(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">DepthToSpaceDescriptor</a>& descriptor,</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span> <span class="keyword"></span>{</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</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>  std::array<DataType,5> supportedTypes =</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  {</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  DataType::BFloat16,</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  DataType::Float32,</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  DataType::Float16,</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  DataType::QAsymmU8,</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  DataType::QSymmS16</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  };</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <span class="stringliteral">"Reference DepthToSpace: input type not supported"</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"> 542</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <span class="stringliteral">"Reference DepthToSpace: output type not supported"</span>);</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span> </div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="stringliteral">"Reference DepthToSpace: input and output types are mismatched"</span>);</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="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span> }</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span> </div><div class="line"><a name="l00551"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#adc84390751f227fe03a115b5fa10b0fc"> 551</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a399d38872500c6ac84ae031673176ef3">RefLayerSupport::IsDepthwiseConvolutionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span> <span class="keyword"></span>{</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span> </div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <span class="comment">// Define supported types.</span></div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  std::array<DataType,7> supportedTypes =</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>  DataType::BFloat16,</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  DataType::Float32,</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  DataType::Float16,</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  DataType::QSymmS8,</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  DataType::QAsymmS8,</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  DataType::QAsymmU8,</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  DataType::QSymmS16</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> </div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <span class="stringliteral">"Reference DepthwiseConvolution2d: input is not a supported type."</span>);</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <span class="stringliteral">"Reference DepthwiseConvolution2d: output is not a supported type."</span>);</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span> </div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  <span class="stringliteral">"Reference DepthwiseConvolution2d: input and output types mismatched."</span>);</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span> </div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <a class="code" href="_deprecated_8hpp.xhtml#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  std::array<DataType, 3> supportedWeightTypes =</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  {</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  DataType::QAsymmU8,</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  DataType::QSymmS8,</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  DataType::QuantizedSymm8PerAxis <span class="comment">// deprecated</span></div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  };</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <a class="code" href="_deprecated_8hpp.xhtml#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span> </div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> inputType = input.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>();</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#ad91bc7bfe29186f5d78c28386c6c5309">IsQuantized8BitType</a>(inputType))</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  {</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span> </div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(weights, supportedWeightTypes), reasonIfUnsupported,</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="stringliteral">"Reference convolution2d: weights type not supported for quantized input."</span>);</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  }</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  {</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(weights, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  <span class="stringliteral">"Reference DepthwiseConvolution2d: weights is not a supported type."</span>);</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span> </div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, weights), reasonIfUnsupported,</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  <span class="stringliteral">"Reference DepthwiseConvolution2d: input and weights types mismatched."</span>);</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  }</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span> </div><div class="line"><a name="l00606"></a><span class="lineno"> 606</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="l00607"></a><span class="lineno"> 607</span>  {</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  std::array<DataType,4> biasesSupportedTypes =</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>  DataType::BFloat16,</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  DataType::Float32,</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  DataType::Float16,</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  DataType::Signed32</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  };</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(biases.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>(), biasesSupportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <span class="stringliteral">"Reference DepthwiseConvolution2d: biases is not a supported type."</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>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</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>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span> </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"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a2e89c72cf60df7c2d2d7e5d98822b672"> 624</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#ac92dceabfbc1e46fe74f699f733886a8">RefLayerSupport::IsDequantizeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span> <span class="keyword"></span>{</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</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>  std::array<DataType,4> supportedInputTypes = {</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  DataType::QAsymmS8,</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  DataType::QAsymmU8,</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  DataType::QSymmS8,</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  DataType::QSymmS16</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> </div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedInputTypes), reasonIfUnsupported,</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <span class="stringliteral">"Reference for Dequantize layer: input type not supported."</span>);</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>( <a class="code" href="structarmnn_1_1_type_not_per_axis_quantized.xhtml">TypeNotPerAxisQuantized</a>(input), reasonIfUnsupported,</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <span class="stringliteral">"Reference for Dequantize layer: per-axis quantized input not support ."</span>);</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span> </div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_not_per_axis_quantized.xhtml">TypeNotPerAxisQuantized</a>(input), reasonIfUnsupported,</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <span class="stringliteral">"Reference dequantize: per-axis quantized input not support ."</span>);</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span> </div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  std::array<DataType,3> supportedOutputTypes = {</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  DataType::BFloat16,</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  DataType::Float32,</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  DataType::Float16</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  };</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span> </div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedOutputTypes), reasonIfUnsupported,</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <span class="stringliteral">"Reference for Dequantize layer: output type not supported."</span>);</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span> </div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_shapes_are_same_total_size.xhtml">ShapesAreSameTotalSize</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  <span class="stringliteral">"Reference for Dequantize layer: input/output shapes have different num total "</span></div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  <span class="stringliteral">"elements."</span>);</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span> </div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span> }</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span> </div><div class="line"><a name="l00662"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a50af275d7755a5bb1be69736d7e4b02f"> 662</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#aa9da770c93f812b264861f98cfdd650c">RefLayerSupport::IsDetectionPostProcessSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& <a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings</a>,</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& <a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#a0348e6bb67ace72535bd105219bb6237">scores</a>,</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& <a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#ac0981848e4ae57729f14f72bd4caa9f8">anchors</a>,</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& detectionBoxes,</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& detectionClasses,</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& detectionScores,</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& numDetections,</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml">DetectionPostProcessDescriptor</a>& descriptor,</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span> <span class="keyword"></span>{</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(anchors, detectionBoxes, detectionClasses, detectionScores, numDetections, descriptor);</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span> </div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</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>  std::array<DataType,4> supportedInputTypes =</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>  DataType::BFloat16,</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  DataType::Float32,</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  DataType::QAsymmU8,</div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  DataType::QSymmS16</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"> 684</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(boxEncodings, supportedInputTypes), reasonIfUnsupported,</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  <span class="stringliteral">"Reference DetectionPostProcess: input 0 is not a supported type."</span>);</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span> </div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(scores, supportedInputTypes), reasonIfUnsupported,</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  <span class="stringliteral">"Reference DetectionPostProcess: input 1 is not a supported type."</span>);</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="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span> }</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span> </div><div class="line"><a name="l00693"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a55d91a97ff664f42cd5cd62b60c15f80"> 693</a></span> <span class="keywordtype">bool</span> RefLayerSupport::IsDilatedDepthwiseConvolutionSupported(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span> <span class="keyword"></span>{</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a399d38872500c6ac84ae031673176ef3">IsDepthwiseConvolutionSupported</a>(input, output, descriptor, weights, biases, reasonIfUnsupported);</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span> }</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span> </div><div class="line"><a name="l00703"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a08f55136b1f0907e7083d70d719f697f"> 703</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a29b4b6b364a31632597970d0bad3d78f">RefLayerSupport::IsDivisionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span> <span class="keyword"></span>{</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span> </div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  std::array<DataType,5> supportedTypes = {</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  DataType::BFloat16,</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  DataType::Float32,</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  DataType::Float16,</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  DataType::QAsymmU8,</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  DataType::QSymmS16</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  };</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span> </div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input0, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  <span class="stringliteral">"Reference division: input 0 is not a supported type."</span>);</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input1, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  <span class="stringliteral">"Reference division: input 1 is not a supported type."</span>);</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span> </div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  <span class="stringliteral">"Reference division: output is not a supported type."</span>);</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span> </div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input0, input1), reasonIfUnsupported,</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  <span class="stringliteral">"Reference division: input 0 and Input 1 types are mismatched"</span>);</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span> </div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input0, output), reasonIfUnsupported,</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  <span class="stringliteral">"Reference division: input and output types are mismatched"</span>);</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_shapes_are_broadcast_compatible.xhtml">ShapesAreBroadcastCompatible</a>(input0, input1, output), reasonIfUnsupported,</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  <span class="stringliteral">"Reference division: shapes are not suitable for implicit broadcast."</span>);</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span> </div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span> }</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span> </div><div class="line"><a name="l00739"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a61c5b4e5dc224ef0c876e43353b34030"> 739</a></span> <span class="keywordtype">bool</span> RefLayerSupport::IsElementwiseUnarySupported(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a>& descriptor,</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span> <span class="keyword"></span>{</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</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>  std::array<DataType, 5> supportedTypes =</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  {</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  DataType::BFloat16,</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  DataType::Float32,</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  DataType::Float16,</div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  DataType::QAsymmU8,</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  DataType::QSymmS16</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  };</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span> </div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <span class="stringliteral">"Reference elementwise unary: input type not supported"</span>);</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span> </div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  <span class="stringliteral">"Reference elementwise unary: output type not supported"</span>);</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  <span class="stringliteral">"Reference elementwise unary: input and output types not matching"</span>);</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_shapes_are_same_total_size.xhtml">ShapesAreSameTotalSize</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  <span class="stringliteral">"Reference elementwise unary: input and output shapes"</span></div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  <span class="stringliteral">"have different number of total elements"</span>);</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span> </div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</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> </div><div class="line"><a name="l00773"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#afb6ad04c6ff234b193f3dfc0cfabcbd5"> 773</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a0e3cdea6143299b258a9c34b596bad4d">RefLayerSupport::IsEqualSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span> <span class="keyword"></span>{</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  <span class="keywordflow">return</span> IsComparisonSupported(input0,</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  input1,</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  output,</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a>(ComparisonOperation::Equal),</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  reasonIfUnsupported);</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span> }</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span> </div><div class="line"><a name="l00785"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#aab7318aa8adc0a8a3b6a1780cfc1f90b"> 785</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#afe39427f8974f064b838df5c7f0ebebc">RefLayerSupport::IsFakeQuantizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fake_quantization_descriptor.xhtml">FakeQuantizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span> <span class="keyword"></span>{</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span> </div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  std::array<DataType,1> supportedTypes =</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>  DataType::Float32</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  };</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span> </div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  <span class="stringliteral">"Reference fake quantization: input type not supported."</span>);</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>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span> }</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span> </div><div class="line"><a name="l00803"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a53c7593d1aa26207eac5d5814a9d56dc"> 803</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a89e9c52419c572f05bf9737a7a60b267">RefLayerSupport::IsFloorSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span> <span class="keyword"></span>{</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(output);</div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</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::array<DataType,4> supportedTypes =</div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  {</div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  DataType::BFloat16,</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  DataType::Float32,</div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  DataType::Float16,</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  DataType::QSymmS16</div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  };</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span> </div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  <span class="stringliteral">"Reference Floor: input type not supported."</span>);</div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span> </div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  <span class="stringliteral">"Reference Floor: output type not supported."</span>);</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="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span> }</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span> </div><div class="line"><a name="l00827"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#aeaf971dd9dffd6f6bc7e5a1ae6b6af5c"> 827</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#aa2f4e75d4a4f61b24de0dfe150952c80">RefLayerSupport::IsFullyConnectedSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& biases,</div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml">FullyConnectedDescriptor</a>& descriptor,</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span> <span class="keyword"></span>{</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span> </div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  <span class="comment">// Define supported types.</span></div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  std::array<DataType,6> supportedTypes =</div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  {</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  DataType::BFloat16,</div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  DataType::Float32,</div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  DataType::Float16,</div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  DataType::QAsymmU8,</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  DataType::QAsymmS8,</div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  DataType::QSymmS16</div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  };</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  <span class="stringliteral">"Reference Fully Connected: input type not supported."</span>);</div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span> </div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  <span class="stringliteral">"Reference Fully Connected: output type not supported."</span>);</div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span> </div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  <span class="stringliteral">"Reference Fully Connected: input and output types mismatched."</span>);</div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span> </div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(weights, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  <span class="stringliteral">"Reference Fully Connected: weights type not supported."</span>);</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="_deprecated_8hpp.xhtml#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  std::array<DataType, 3> supportedWeightTypes =</div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  {</div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  DataType::QAsymmU8,</div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  DataType::QSymmS8,</div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  DataType::QuantizedSymm8PerAxis <span class="comment">// deprecated</span></div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  };</div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  <a class="code" href="_deprecated_8hpp.xhtml#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span> </div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#ad91bc7bfe29186f5d78c28386c6c5309">IsQuantized8BitType</a>(input.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>()))</div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  {</div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span> </div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(weights, supportedWeightTypes), reasonIfUnsupported,</div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  <span class="stringliteral">"Reference Fully Connected: weights type not supported for quantized input."</span>);</div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  }</div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  <span class="keywordflow">else</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"> 876</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(weights, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  <span class="stringliteral">"Reference Fully Connected: weights is not a supported type."</span>);</div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span> </div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, weights), reasonIfUnsupported,</div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  <span class="stringliteral">"Reference Fully Connected: input and weights types mismatched."</span>);</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> </div><div class="line"><a name="l00883"></a><span class="lineno"> 883</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div><div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  {</div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  <span class="comment">// Defined supported types for bias</span></div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  std::array<DataType, 4></div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  supportedBiasTypes =</div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  {</div><div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  DataType::BFloat16,</div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  DataType::Float32,</div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  DataType::Float16,</div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  DataType::Signed32</div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  };</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(biases, supportedBiasTypes), reasonIfUnsupported,</div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  <span class="stringliteral">"Reference Fully Connected: bias type not supported."</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"> 898</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_bias_and_weights_types_match.xhtml">BiasAndWeightsTypesMatch</a>(biases, weights), reasonIfUnsupported,</div><div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  <span class="stringliteral">"Reference Fully Connected: bias and weight types mismatch."</span>);</div><div class="line"><a name="l00900"></a><span class="lineno"> 900</span> </div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_bias_and_weights_types_compatible.xhtml">BiasAndWeightsTypesCompatible</a>(weights, supportedBiasTypes), reasonIfUnsupported,</div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  <span class="stringliteral">"Reference Fully Connected: bias type inferred from weights is incompatible."</span>);</div><div class="line"><a name="l00903"></a><span class="lineno"> 903</span> </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> </div><div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l00907"></a><span class="lineno"> 907</span> }</div><div class="line"><a name="l00908"></a><span class="lineno"> 908</span> </div><div class="line"><a name="l00909"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#aef77aa4bb0e68e88dcf5ab8b5882a2d3"> 909</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a658eea4e746b1e664796c48d7eaf19f0">RefLayerSupport::IsGatherSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& input0,</div><div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& input1,</div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& output,</div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span> <span class="keyword"></span>{</div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  std::array<DataType,5> supportedTypes =</div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  {</div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  DataType::BFloat16,</div><div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  DataType::Float32,</div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  DataType::Float16,</div><div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  DataType::QAsymmU8,</div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  DataType::QSymmS16</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input0, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00925"></a><span class="lineno"> 925</span>  <span class="stringliteral">"Reference Gather: input type not supported"</span>);</div><div class="line"><a name="l00926"></a><span class="lineno"> 926</span> </div><div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  <span class="stringliteral">"Reference Gather: output type not supported"</span>);</div><div class="line"><a name="l00929"></a><span class="lineno"> 929</span> </div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_is.xhtml">TypeIs</a>(input1, DataType::Signed32), reasonIfUnsupported,</div><div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  <span class="stringliteral">"Reference Gather: indices (input1) type not supported"</span>);</div><div class="line"><a name="l00932"></a><span class="lineno"> 932</span> </div><div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input0, output), reasonIfUnsupported,</div><div class="line"><a name="l00934"></a><span class="lineno"> 934</span>  <span class="stringliteral">"Reference Gather: input and output types not matching"</span>);</div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span> </div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</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> </div><div class="line"><a name="l00939"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a14e45f3699e823d7859d5d352d89265c"> 939</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#adffa596b4bdecd54ca460853cd1439e2">RefLayerSupport::IsGreaterSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00942"></a><span class="lineno"> 942</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span> <span class="keyword"></span>{</div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span>  <span class="keywordflow">return</span> IsComparisonSupported(input0,</div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span>  input1,</div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span>  output,</div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span>  <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a>(ComparisonOperation::Greater),</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span>  reasonIfUnsupported);</div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span> }</div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span> </div><div class="line"><a name="l00951"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#ad29d99ecd719c640ed22dcf5c688c6a5"> 951</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a197a353aa963497d29a07796268ea5c1">RefLayerSupport::IsInputSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& <span class="comment">/*input*/</span>,</div><div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> <span class="comment">/*reasonIfUnsupported*/</span>)<span class="keyword"> const</span></div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span> <span class="keyword"></span>{</div><div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span> }</div><div class="line"><a name="l00956"></a><span class="lineno"> 956</span> </div><div class="line"><a name="l00957"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a0813546a09bf2caba6794014d1960624"> 957</a></span> <span class="keywordtype">bool</span> RefLayerSupport::IsInstanceNormalizationSupported(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml">InstanceNormalizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span> <span class="keyword"></span>{</div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  <span class="comment">// Define supported types</span></div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  std::array<DataType, 3> supportedTypes =</div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  {</div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  DataType::BFloat16,</div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  DataType::Float32,</div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  DataType::Float16</div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  };</div><div class="line"><a name="l00970"></a><span class="lineno"> 970</span> </div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  <span class="stringliteral">"Reference Instance Normalization: input type not supported."</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"> 976</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  <span class="stringliteral">"Reference Instance Normalization: output type not supported."</span>);</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  <span class="stringliteral">"Reference Instance Normalization: input and output types mismatched."</span>);</div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span> </div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_shapes_are_same_total_size.xhtml">ShapesAreSameTotalSize</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  <span class="stringliteral">"Reference Instance Normalization: input and output shapes have different "</span></div><div class="line"><a name="l00984"></a><span class="lineno"> 984</span>  <span class="stringliteral">"num total elements."</span>);</div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span> </div><div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l00987"></a><span class="lineno"> 987</span> }</div><div class="line"><a name="l00988"></a><span class="lineno"> 988</span> </div><div class="line"><a name="l00989"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#aca4acda7ab553edfda828658d8f3882b"> 989</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a0906736b90464c0eb3ce5a87e05ebeee">RefLayerSupport::IsL2NormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00990"></a><span class="lineno"> 990</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml">L2NormalizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00992"></a><span class="lineno"> 992</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l00993"></a><span class="lineno"> 993</span> <span class="keyword"></span>{</div><div class="line"><a name="l00994"></a><span class="lineno"> 994</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l00995"></a><span class="lineno"> 995</span>  <span class="comment">// Define supported types</span></div><div class="line"><a name="l00996"></a><span class="lineno"> 996</span>  std::array<DataType, 5> supportedTypes =</div><div class="line"><a name="l00997"></a><span class="lineno"> 997</span>  {</div><div class="line"><a name="l00998"></a><span class="lineno"> 998</span>  DataType::BFloat16,</div><div class="line"><a name="l00999"></a><span class="lineno"> 999</span>  DataType::Float32,</div><div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  DataType::Float16,</div><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  DataType::QSymmS16</div><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>  };</div><div class="line"><a name="l01004"></a><span class="lineno"> 1004</span> </div><div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01006"></a><span class="lineno"> 1006</span> </div><div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  <span class="stringliteral">"Reference L2normalization: input type not supported."</span>);</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  <span class="stringliteral">"Reference L2normalization: output type not supported."</span>);</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  <span class="stringliteral">"Reference L2normalization: input and output types mismatched."</span>);</div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span> </div><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_shapes_are_same_total_size.xhtml">ShapesAreSameTotalSize</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  <span class="stringliteral">"Reference L2normalization: input and output shapes have different "</span></div><div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>  <span class="stringliteral">"num total elements."</span>);</div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span> </div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</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> </div><div class="line"><a name="l01023"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a6d414f4983a5ca9596d84e340e6fd895"> 1023</a></span> <span class="keywordtype">bool</span> RefLayerSupport::IsLogSoftmaxSupported(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">LogSoftmaxDescriptor</a>& descriptor,</div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span> <span class="keyword"></span>{</div><div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span> </div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  std::array<DataType, 3> supportedTypes =</div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  {</div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  DataType::BFloat16,</div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  DataType::Float32,</div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  DataType::Float16</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> </div><div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  <span class="stringliteral">"Reference LogSoftmax: input type not supported"</span>);</div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span> </div><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>  <span class="stringliteral">"Reference LogSoftmax: output type not supported"</span>);</div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span> </div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  <span class="stringliteral">"Reference LogSoftmax: input and output types do not match"</span>);</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="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l01048"></a><span class="lineno"> 1048</span> }</div><div class="line"><a name="l01049"></a><span class="lineno"> 1049</span> </div><div class="line"><a name="l01050"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a862535721737220f62a49f14ff494dd5"> 1050</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a3e8b3af7771ffb37ede50aa2d9cc3af6">RefLayerSupport::IsLstmSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outputStateIn,</div><div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& cellStateIn,</div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& scratchBuffer,</div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outputStateOut,</div><div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& cellStateOut,</div><div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a>& descriptor,</div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a>& paramsInfo,</div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span> <span class="keyword"></span>{</div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(paramsInfo);</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="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01065"></a><span class="lineno"> 1065</span> </div><div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  std::array<DataType,3> supportedTypes = {</div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  DataType::BFloat16,</div><div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>  DataType::Float32,</div><div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>  DataType::QSymmS16</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> </div><div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>  <span class="comment">// check inputs and outputs</span></div><div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>  <span class="stringliteral">"Reference Lstm: input is not a supported type."</span>);</div><div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, outputStateIn), reasonIfUnsupported,</div><div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>  <span class="stringliteral">"Reference Lstm: input and outputStateIn types are mismatched"</span>);</div><div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, cellStateIn), reasonIfUnsupported,</div><div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>  <span class="stringliteral">"Reference Lstm: input and cellStateIn types are mismatched"</span>);</div><div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, scratchBuffer), reasonIfUnsupported,</div><div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>  <span class="stringliteral">"Reference Lstm: input and scratchBuffer types are mismatched"</span>);</div><div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, outputStateOut), reasonIfUnsupported,</div><div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  <span class="stringliteral">"Reference Lstm: input and outputStateOut types are mismatched"</span>);</div><div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, cellStateOut), reasonIfUnsupported,</div><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>  <span class="stringliteral">"Reference Lstm: input and cellStateOut types are mismatched"</span>);</div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>  <span class="stringliteral">"Reference Lstm: input and output types are mismatched"</span>);</div><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  <span class="comment">// check layer parameters</span></div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#a7dac08f19a1b235d5256d39136848a09">GetInputToForgetWeights</a>()), reasonIfUnsupported,</div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>  <span class="stringliteral">"Reference Lstm: input and InputToForgetWeights types are mismatched"</span>);</div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#a3b3c26330a05bf4ea40f8a6b402be354">GetInputToCellWeights</a>()), reasonIfUnsupported,</div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  <span class="stringliteral">"Reference Lstm: input and InputToCellWeights types are mismatched"</span>);</div><div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#a800adf0f61e84d706060f63037c1a336">GetInputToOutputWeights</a>()), reasonIfUnsupported,</div><div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>  <span class="stringliteral">"Reference Lstm: input and InputToOutputWeights types are mismatched"</span>);</div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#a534af7e4f3a6d50a6dab05abc245133d">GetRecurrentToForgetWeights</a>()), reasonIfUnsupported,</div><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>  <span class="stringliteral">"Reference Lstm: input and RecurrentToForgetWeights types are mismatched"</span>);</div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#ae5bfdd423b16f990c1713ef9f91f947b">GetRecurrentToCellWeights</a>()), reasonIfUnsupported,</div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>  <span class="stringliteral">"Reference Lstm: input and RecurrentToCellWeights types are mismatched"</span>);</div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#afe4d25acd31b98dee6f6b28d4d756071">GetRecurrentToOutputWeights</a>()), reasonIfUnsupported,</div><div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>  <span class="stringliteral">"Reference Lstm: input and RecurrentToOutputWeights types are mismatched"</span>);</div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#ac81393ef433b0c7c337f9f0d55f41ae4">GetForgetGateBias</a>()), reasonIfUnsupported,</div><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>  <span class="stringliteral">"Reference Lstm: input and ForgetGateBias types are mismatched"</span>);</div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#ad5f4be37766b41f342dd196cb1c6e141">GetCellBias</a>()), reasonIfUnsupported,</div><div class="line"><a name="l01103"></a><span class="lineno"> 1103</span>  <span class="stringliteral">"Reference Lstm: input and CellBias types are mismatched"</span>);</div><div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#ae0da94ba17ce67b95b5b9d6e5adc4271">GetOutputGateBias</a>()), reasonIfUnsupported,</div><div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>  <span class="stringliteral">"Reference Lstm: input and OutputGateBias types are mismatched"</span>);</div><div class="line"><a name="l01106"></a><span class="lineno"> 1106</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="l01107"></a><span class="lineno"> 1107</span>  {</div><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#afa2b04197a764428a8c3a648de8058fc">GetInputToInputWeights</a>()), reasonIfUnsupported,</div><div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>  <span class="stringliteral">"Reference Lstm: input and InputToInputWeights types are mismatched"</span>);</div><div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#ad159f9edbddeeb6cf6ff0ba042481ba8">GetRecurrentToInputWeights</a>()),</div><div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>  reasonIfUnsupported,</div><div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>  <span class="stringliteral">"Reference Lstm: input and RecurrentToInputWeights types are mismatched"</span>);</div><div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#ae1d5a487fcd13852927c8a2b9f9dfeb6">GetInputGateBias</a>()), reasonIfUnsupported,</div><div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>  <span class="stringliteral">"Reference Lstm: input and InputGateBias types are mismatched"</span>);</div><div class="line"><a name="l01115"></a><span class="lineno"> 1115</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="l01116"></a><span class="lineno"> 1116</span>  {</div><div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#a36fa9439fda2e72234411956a1c7e64f">GetCellToInputWeights</a>()),</div><div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>  reasonIfUnsupported,</div><div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>  <span class="stringliteral">"Reference Lstm: input and CellToInputWeights types are mismatched"</span>);</div><div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  }</div><div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>  }</div><div class="line"><a name="l01122"></a><span class="lineno"> 1122</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="l01123"></a><span class="lineno"> 1123</span>  {</div><div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#a0e31db1891d11bbe0d8556c01e9812ef">GetCellToForgetWeights</a>()), reasonIfUnsupported,</div><div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>  <span class="stringliteral">"Reference Lstm: input and CellToForgetWeights types are mismatched"</span>);</div><div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#a35825b1ec5bc2b14c8eac60887dbcf19">GetCellToOutputWeights</a>()), reasonIfUnsupported,</div><div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>  <span class="stringliteral">"Reference Lstm: input and CellToOutputWeights types are mismatched"</span>);</div><div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>  }</div><div class="line"><a name="l01129"></a><span class="lineno"> 1129</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="l01130"></a><span class="lineno"> 1130</span>  {</div><div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#a18038725f71bb5c5bd03c02cc164f879">GetProjectionWeights</a>()), reasonIfUnsupported,</div><div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>  <span class="stringliteral">"Reference Lstm: input and mProjectionWeights types are mismatched"</span>);</div><div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>  <span class="keywordflow">if</span> (paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#ae22fc962c59e7c24986718f5af0020db">m_ProjectionBias</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>  {</div><div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#a9f2cce936b4df49c487eaca513bf55ca">GetProjectionBias</a>()), reasonIfUnsupported,</div><div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>  <span class="stringliteral">"Reference Lstm: input and ProjectionBias types are mismatched"</span>);</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>  <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="l01140"></a><span class="lineno"> 1140</span>  {</div><div class="line"><a name="l01141"></a><span class="lineno"> 1141</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="l01142"></a><span class="lineno"> 1142</span>  {</div><div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#a3d2f638ba83ae5dad0094c006220c232">GetInputLayerNormWeights</a>()),</div><div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>  reasonIfUnsupported,</div><div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>  <span class="stringliteral">"Reference Lstm: input and InputLayerNormWeights types are mismatched"</span>);</div><div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>  }</div><div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#ab50b4ccb0b84f6427996f76083a4107a">GetForgetLayerNormWeights</a>()),</div><div class="line"><a name="l01148"></a><span class="lineno"> 1148</span>  reasonIfUnsupported,</div><div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>  <span class="stringliteral">"Reference Lstm: input and ForgetLayerNormWeights types are mismatched"</span>);</div><div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#aaf1af3bc828c5daa4a5c0bac28f63cc3">GetCellLayerNormWeights</a>()),</div><div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>  reasonIfUnsupported,</div><div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>  <span class="stringliteral">"Reference Lstm: input and CellLayerNormWeights types are mismatched"</span>);</div><div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, paramsInfo.<a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml#a045674b768295e617d7060f96f162366">GetOutputLayerNormWeights</a>()),</div><div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>  reasonIfUnsupported,</div><div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>  <span class="stringliteral">"Reference Lstm: input and OutputLayerNormWeights types are mismatched"</span>);</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"> 1158</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l01159"></a><span class="lineno"> 1159</span> }</div><div class="line"><a name="l01160"></a><span class="lineno"> 1160</span> </div><div class="line"><a name="l01161"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#afef9436c86b37b973471f2ae546ac00a"> 1161</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a3b85a270baf98ea6b040bd395c2d700a">RefLayerSupport::IsMaximumSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01165"></a><span class="lineno"> 1165</span> <span class="keyword"></span>{</div><div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01167"></a><span class="lineno"> 1167</span> </div><div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>  std::array<DataType,6> supportedTypes = {</div><div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>  DataType::BFloat16,</div><div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>  DataType::Float32,</div><div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>  DataType::Float16,</div><div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>  DataType::QAsymmS8,</div><div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>  DataType::QSymmS16</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> </div><div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input0, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>  <span class="stringliteral">"Reference maximum: input 0 is not a supported type."</span>);</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input1, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>  <span class="stringliteral">"Reference maximum: input 1 is not a supported type."</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"> 1183</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>  <span class="stringliteral">"Reference maximum: output is not a supported type."</span>);</div><div class="line"><a name="l01185"></a><span class="lineno"> 1185</span> </div><div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input0, input1), reasonIfUnsupported,</div><div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>  <span class="stringliteral">"Reference maximum: input 0 and Input 1 types are mismatched"</span>);</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input0, output), reasonIfUnsupported,</div><div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>  <span class="stringliteral">"Reference maximum: input and output types are mismatched"</span>);</div><div class="line"><a name="l01191"></a><span class="lineno"> 1191</span> </div><div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_shapes_are_broadcast_compatible.xhtml">ShapesAreBroadcastCompatible</a>(input0, input1, output), reasonIfUnsupported,</div><div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>  <span class="stringliteral">"Reference maximum: shapes are not suitable for implicit broadcast."</span>);</div><div class="line"><a name="l01194"></a><span class="lineno"> 1194</span> </div><div class="line"><a name="l01195"></a><span class="lineno"> 1195</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</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> </div><div class="line"><a name="l01198"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#ab268618580d4f53bf5e9b5a47dee3f6a"> 1198</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a0cdc60b4988b2193b97590e35f34a07e">RefLayerSupport::IsMeanSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01199"></a><span class="lineno"> 1199</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01200"></a><span class="lineno"> 1200</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml">MeanDescriptor</a>& descriptor,</div><div class="line"><a name="l01201"></a><span class="lineno"> 1201</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01202"></a><span class="lineno"> 1202</span> <span class="keyword"></span>{</div><div class="line"><a name="l01203"></a><span class="lineno"> 1203</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01204"></a><span class="lineno"> 1204</span>  std::string meanLayerStr = <span class="stringliteral">"Mean"</span>;</div><div class="line"><a name="l01205"></a><span class="lineno"> 1205</span>  std::string outputTensorStr = <span class="stringliteral">"output"</span>;</div><div class="line"><a name="l01206"></a><span class="lineno"> 1206</span> </div><div class="line"><a name="l01207"></a><span class="lineno"> 1207</span>  std::array<DataType,5> supportedTypes =</div><div class="line"><a name="l01208"></a><span class="lineno"> 1208</span>  {</div><div class="line"><a name="l01209"></a><span class="lineno"> 1209</span>  DataType::BFloat16,</div><div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>  DataType::Float32,</div><div class="line"><a name="l01211"></a><span class="lineno"> 1211</span>  DataType::Float16,</div><div class="line"><a name="l01212"></a><span class="lineno"> 1212</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01213"></a><span class="lineno"> 1213</span>  DataType::QSymmS16</div><div class="line"><a name="l01214"></a><span class="lineno"> 1214</span>  };</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01217"></a><span class="lineno"> 1217</span>  <span class="stringliteral">"Reference Mean: input type not supported."</span>);</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l01220"></a><span class="lineno"> 1220</span>  <span class="stringliteral">"Reference Mean: input and output types are mismatched"</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"> 1222</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>)</div><div class="line"><a name="l01223"></a><span class="lineno"> 1223</span>  {</div><div class="line"><a name="l01224"></a><span class="lineno"> 1224</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_tensor_num_dimensions_are_correct.xhtml">TensorNumDimensionsAreCorrect</a>(output, input.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>()),</div><div class="line"><a name="l01225"></a><span class="lineno"> 1225</span>  reasonIfUnsupported,</div><div class="line"><a name="l01226"></a><span class="lineno"> 1226</span>  CreateIncorrectDimensionsErrorMsg(input.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div><div class="line"><a name="l01227"></a><span class="lineno"> 1227</span>  output.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div><div class="line"><a name="l01228"></a><span class="lineno"> 1228</span>  meanLayerStr, outputTensorStr).data());</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="keywordflow">else</span> <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a1f0d67b087c491248bd1cde3ff995a95">m_Axis</a>.empty())</div><div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>  {</div><div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_tensor_num_dimensions_are_correct.xhtml">TensorNumDimensionsAreCorrect</a>(output, 1),</div><div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>  reasonIfUnsupported,</div><div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>  CreateIncorrectDimensionsErrorMsg(1, output.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div><div class="line"><a name="l01235"></a><span class="lineno"> 1235</span>  meanLayerStr, outputTensorStr).data());</div><div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>  }</div><div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l01238"></a><span class="lineno"> 1238</span>  {</div><div class="line"><a name="l01239"></a><span class="lineno"> 1239</span>  <span class="keyword">auto</span> outputDim = input.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() - <a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a><<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>>(descriptor.<a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a1f0d67b087c491248bd1cde3ff995a95">m_Axis</a>.size());</div><div class="line"><a name="l01240"></a><span class="lineno"> 1240</span> </div><div class="line"><a name="l01241"></a><span class="lineno"> 1241</span>  <span class="keywordflow">if</span> (outputDim > 0)</div><div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>  {</div><div class="line"><a name="l01243"></a><span class="lineno"> 1243</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_tensor_num_dimensions_are_correct.xhtml">TensorNumDimensionsAreCorrect</a>(output, outputDim),</div><div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>  reasonIfUnsupported,</div><div class="line"><a name="l01245"></a><span class="lineno"> 1245</span>  CreateIncorrectDimensionsErrorMsg(outputDim, output.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div><div class="line"><a name="l01246"></a><span class="lineno"> 1246</span>  meanLayerStr, outputTensorStr).data());</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>  <span class="keywordflow">else</span></div><div class="line"><a name="l01249"></a><span class="lineno"> 1249</span>  {</div><div class="line"><a name="l01250"></a><span class="lineno"> 1250</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_tensor_num_dimensions_are_correct.xhtml">TensorNumDimensionsAreCorrect</a>(output, 1),</div><div class="line"><a name="l01251"></a><span class="lineno"> 1251</span>  reasonIfUnsupported,</div><div class="line"><a name="l01252"></a><span class="lineno"> 1252</span>  CreateIncorrectDimensionsErrorMsg(1, output.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div><div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>  meanLayerStr, outputTensorStr).data());</div><div class="line"><a name="l01254"></a><span class="lineno"> 1254</span>  }</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> </div><div class="line"><a name="l01257"></a><span class="lineno"> 1257</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l01258"></a><span class="lineno"> 1258</span> }</div><div class="line"><a name="l01259"></a><span class="lineno"> 1259</span> </div><div class="line"><a name="l01260"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#aa9309ea64f9f7447efe3567f77417d29"> 1260</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a6e2c7ec2b8d47bde2bc9fa04bb2091f6">RefLayerSupport::IsMergerSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*> inputs,</div><div class="line"><a name="l01261"></a><span class="lineno"> 1261</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01262"></a><span class="lineno"> 1262</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">MergerDescriptor</a>& descriptor,</div><div class="line"><a name="l01263"></a><span class="lineno"> 1263</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01264"></a><span class="lineno"> 1264</span> <span class="keyword"></span>{</div><div class="line"><a name="l01265"></a><span class="lineno"> 1265</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a757df85e956e425c1a082d35a98ca4a9">IsConcatSupported</a>(inputs, output, descriptor, reasonIfUnsupported);</div><div class="line"><a name="l01266"></a><span class="lineno"> 1266</span> }</div><div class="line"><a name="l01267"></a><span class="lineno"> 1267</span> </div><div class="line"><a name="l01268"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a9d25fabf725313fda40a41400155bafe"> 1268</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a87ac712443e46c0deb38ab0eaf637e70">RefLayerSupport::IsMemCopySupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &input,</div><div class="line"><a name="l01269"></a><span class="lineno"> 1269</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> &output,</div><div class="line"><a name="l01270"></a><span class="lineno"> 1270</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string &></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01271"></a><span class="lineno"> 1271</span> <span class="keyword"></span>{</div><div class="line"><a name="l01272"></a><span class="lineno"> 1272</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01273"></a><span class="lineno"> 1273</span> </div><div class="line"><a name="l01274"></a><span class="lineno"> 1274</span>  std::array<DataType,6> supportedTypes =</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>  DataType::BFloat16,</div><div class="line"><a name="l01277"></a><span class="lineno"> 1277</span>  DataType::Float32,</div><div class="line"><a name="l01278"></a><span class="lineno"> 1278</span>  DataType::Float16,</div><div class="line"><a name="l01279"></a><span class="lineno"> 1279</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01280"></a><span class="lineno"> 1280</span>  DataType::QSymmS16,</div><div class="line"><a name="l01281"></a><span class="lineno"> 1281</span>  DataType::Boolean</div><div class="line"><a name="l01282"></a><span class="lineno"> 1282</span>  };</div><div class="line"><a name="l01283"></a><span class="lineno"> 1283</span> </div><div class="line"><a name="l01284"></a><span class="lineno"> 1284</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01285"></a><span class="lineno"> 1285</span>  <span class="stringliteral">"Reference MemCopy: input type not supported"</span>);</div><div class="line"><a name="l01286"></a><span class="lineno"> 1286</span> </div><div class="line"><a name="l01287"></a><span class="lineno"> 1287</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01288"></a><span class="lineno"> 1288</span>  <span class="stringliteral">"Reference MemCopy: output type not supported"</span>);</div><div class="line"><a name="l01289"></a><span class="lineno"> 1289</span> </div><div class="line"><a name="l01290"></a><span class="lineno"> 1290</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l01291"></a><span class="lineno"> 1291</span>  <span class="stringliteral">"Reference MemCopy: input and output types are mismatched"</span>);</div><div class="line"><a name="l01292"></a><span class="lineno"> 1292</span> </div><div class="line"><a name="l01293"></a><span class="lineno"> 1293</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l01294"></a><span class="lineno"> 1294</span> }</div><div class="line"><a name="l01295"></a><span class="lineno"> 1295</span> </div><div class="line"><a name="l01296"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a3d0eafb3de560b3482f857b56b2b2116"> 1296</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#ab99d3d944b80f47bd1be70f63cc60abb">RefLayerSupport::IsMinimumSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l01297"></a><span class="lineno"> 1297</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l01298"></a><span class="lineno"> 1298</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01299"></a><span class="lineno"> 1299</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01300"></a><span class="lineno"> 1300</span> <span class="keyword"></span>{</div><div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</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>  std::array<DataType,5> supportedTypes = {</div><div class="line"><a name="l01304"></a><span class="lineno"> 1304</span>  DataType::BFloat16,</div><div class="line"><a name="l01305"></a><span class="lineno"> 1305</span>  DataType::Float32,</div><div class="line"><a name="l01306"></a><span class="lineno"> 1306</span>  DataType::Float16,</div><div class="line"><a name="l01307"></a><span class="lineno"> 1307</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01308"></a><span class="lineno"> 1308</span>  DataType::QSymmS16</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> </div><div class="line"><a name="l01311"></a><span class="lineno"> 1311</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input0, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01312"></a><span class="lineno"> 1312</span>  <span class="stringliteral">"Reference minimum: input 0 is not a supported type."</span>);</div><div class="line"><a name="l01313"></a><span class="lineno"> 1313</span> </div><div class="line"><a name="l01314"></a><span class="lineno"> 1314</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input1, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01315"></a><span class="lineno"> 1315</span>  <span class="stringliteral">"Reference minimum: input 1 is not a supported type."</span>);</div><div class="line"><a name="l01316"></a><span class="lineno"> 1316</span> </div><div class="line"><a name="l01317"></a><span class="lineno"> 1317</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01318"></a><span class="lineno"> 1318</span>  <span class="stringliteral">"Reference minimum: output is not a supported type."</span>);</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input0, input1), reasonIfUnsupported,</div><div class="line"><a name="l01321"></a><span class="lineno"> 1321</span>  <span class="stringliteral">"Reference minimum: input 0 and Input 1 types are mismatched"</span>);</div><div class="line"><a name="l01322"></a><span class="lineno"> 1322</span> </div><div class="line"><a name="l01323"></a><span class="lineno"> 1323</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input0, output), reasonIfUnsupported,</div><div class="line"><a name="l01324"></a><span class="lineno"> 1324</span>  <span class="stringliteral">"Reference minimum: input and output types are mismatched"</span>);</div><div class="line"><a name="l01325"></a><span class="lineno"> 1325</span> </div><div class="line"><a name="l01326"></a><span class="lineno"> 1326</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_shapes_are_broadcast_compatible.xhtml">ShapesAreBroadcastCompatible</a>(input0, input1, output), reasonIfUnsupported,</div><div class="line"><a name="l01327"></a><span class="lineno"> 1327</span>  <span class="stringliteral">"Reference minimum: shapes are not suitable for implicit broadcast."</span>);</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="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l01330"></a><span class="lineno"> 1330</span> }</div><div class="line"><a name="l01331"></a><span class="lineno"> 1331</span> </div><div class="line"><a name="l01332"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a421e1f3865d99d52613003048342c49a"> 1332</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a56ff60c2946bf0b7e772007acce0d7ec">RefLayerSupport::IsMultiplicationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l01333"></a><span class="lineno"> 1333</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01336"></a><span class="lineno"> 1336</span> <span class="keyword"></span>{</div><div class="line"><a name="l01337"></a><span class="lineno"> 1337</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</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>  std::array<DataType,6> supportedTypes = {</div><div class="line"><a name="l01340"></a><span class="lineno"> 1340</span>  DataType::BFloat16,</div><div class="line"><a name="l01341"></a><span class="lineno"> 1341</span>  DataType::Float32,</div><div class="line"><a name="l01342"></a><span class="lineno"> 1342</span>  DataType::Float16,</div><div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01344"></a><span class="lineno"> 1344</span>  DataType::QAsymmS8,</div><div class="line"><a name="l01345"></a><span class="lineno"> 1345</span>  DataType::QSymmS16</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> </div><div class="line"><a name="l01348"></a><span class="lineno"> 1348</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input0, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>  <span class="stringliteral">"Reference multiplication: input 0 is not a supported type."</span>);</div><div class="line"><a name="l01350"></a><span class="lineno"> 1350</span> </div><div class="line"><a name="l01351"></a><span class="lineno"> 1351</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input1, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01352"></a><span class="lineno"> 1352</span>  <span class="stringliteral">"Reference multiplication: input 1 is not a supported type."</span>);</div><div class="line"><a name="l01353"></a><span class="lineno"> 1353</span> </div><div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>  <span class="stringliteral">"Reference multiplication: output is not a supported type."</span>);</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input0, input1), reasonIfUnsupported,</div><div class="line"><a name="l01358"></a><span class="lineno"> 1358</span>  <span class="stringliteral">"Reference multiplication: input 0 and Input 1 types are mismatched"</span>);</div><div class="line"><a name="l01359"></a><span class="lineno"> 1359</span> </div><div class="line"><a name="l01360"></a><span class="lineno"> 1360</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input0, output), reasonIfUnsupported,</div><div class="line"><a name="l01361"></a><span class="lineno"> 1361</span>  <span class="stringliteral">"Reference multiplication: input and output types are mismatched"</span>);</div><div class="line"><a name="l01362"></a><span class="lineno"> 1362</span> </div><div class="line"><a name="l01363"></a><span class="lineno"> 1363</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_shapes_are_broadcast_compatible.xhtml">ShapesAreBroadcastCompatible</a>(input0, input1, output), reasonIfUnsupported,</div><div class="line"><a name="l01364"></a><span class="lineno"> 1364</span>  <span class="stringliteral">"Reference multiplication: shapes are not suitable for implicit broadcast."</span>);</div><div class="line"><a name="l01365"></a><span class="lineno"> 1365</span> </div><div class="line"><a name="l01366"></a><span class="lineno"> 1366</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l01367"></a><span class="lineno"> 1367</span> }</div><div class="line"><a name="l01368"></a><span class="lineno"> 1368</span> </div><div class="line"><a name="l01369"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a994c2065561141bf37fcd2ff7bb4af4d"> 1369</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a754b0ac19fd6341ce2b5f480c3b35e8e">RefLayerSupport::IsNormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01370"></a><span class="lineno"> 1370</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01371"></a><span class="lineno"> 1371</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml">NormalizationDescriptor</a>& descriptor,</div><div class="line"><a name="l01372"></a><span class="lineno"> 1372</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01373"></a><span class="lineno"> 1373</span> <span class="keyword"></span>{</div><div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l01375"></a><span class="lineno"> 1375</span> </div><div class="line"><a name="l01376"></a><span class="lineno"> 1376</span>  <span class="comment">// Define supported types</span></div><div class="line"><a name="l01377"></a><span class="lineno"> 1377</span>  std::array<DataType, 5> supportedTypes =</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>  DataType::BFloat16,</div><div class="line"><a name="l01380"></a><span class="lineno"> 1380</span>  DataType::Float16,</div><div class="line"><a name="l01381"></a><span class="lineno"> 1381</span>  DataType::Float32,</div><div class="line"><a name="l01382"></a><span class="lineno"> 1382</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01383"></a><span class="lineno"> 1383</span>  DataType::QSymmS16</div><div class="line"><a name="l01384"></a><span class="lineno"> 1384</span>  };</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>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01387"></a><span class="lineno"> 1387</span> </div><div class="line"><a name="l01388"></a><span class="lineno"> 1388</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01389"></a><span class="lineno"> 1389</span>  <span class="stringliteral">"Reference normalization: input type not supported."</span>);</div><div class="line"><a name="l01390"></a><span class="lineno"> 1390</span> </div><div class="line"><a name="l01391"></a><span class="lineno"> 1391</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01392"></a><span class="lineno"> 1392</span>  <span class="stringliteral">"Reference normalization: output type not supported."</span>);</div><div class="line"><a name="l01393"></a><span class="lineno"> 1393</span> </div><div class="line"><a name="l01394"></a><span class="lineno"> 1394</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_shapes_are_same_total_size.xhtml">ShapesAreSameTotalSize</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l01395"></a><span class="lineno"> 1395</span>  <span class="stringliteral">"Reference normalization: input and output shapes have different "</span></div><div class="line"><a name="l01396"></a><span class="lineno"> 1396</span>  <span class="stringliteral">"num total elements."</span>);</div><div class="line"><a name="l01397"></a><span class="lineno"> 1397</span> </div><div class="line"><a name="l01398"></a><span class="lineno"> 1398</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</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> </div><div class="line"><a name="l01401"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#aef3244c0ef64c8f2f352d21ce0c06985"> 1401</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a701cecec7714cf8bc9dca804f473610d">RefLayerSupport::IsOutputSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& <span class="comment">/*output*/</span>,</div><div class="line"><a name="l01402"></a><span class="lineno"> 1402</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> <span class="comment">/*reasonIfUnsupported*/</span>)<span class="keyword"> const</span></div><div class="line"><a name="l01403"></a><span class="lineno"> 1403</span> <span class="keyword"></span>{</div><div class="line"><a name="l01404"></a><span class="lineno"> 1404</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l01405"></a><span class="lineno"> 1405</span> }</div><div class="line"><a name="l01406"></a><span class="lineno"> 1406</span> </div><div class="line"><a name="l01407"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a0534291adf9f3436ba331552eba29a43"> 1407</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a515e8a98d7ef9ecda64a2e1e5298461a">RefLayerSupport::IsPadSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01408"></a><span class="lineno"> 1408</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a>& descriptor,</div><div class="line"><a name="l01410"></a><span class="lineno"> 1410</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01411"></a><span class="lineno"> 1411</span> <span class="keyword"></span>{</div><div class="line"><a name="l01412"></a><span class="lineno"> 1412</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l01413"></a><span class="lineno"> 1413</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01414"></a><span class="lineno"> 1414</span> </div><div class="line"><a name="l01415"></a><span class="lineno"> 1415</span>  <span class="comment">// Define supported output and inputs types.</span></div><div class="line"><a name="l01416"></a><span class="lineno"> 1416</span>  std::array<DataType,5> supportedTypes =</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>  DataType::BFloat16,</div><div class="line"><a name="l01419"></a><span class="lineno"> 1419</span>  DataType::Float32,</div><div class="line"><a name="l01420"></a><span class="lineno"> 1420</span>  DataType::Float16,</div><div class="line"><a name="l01421"></a><span class="lineno"> 1421</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01422"></a><span class="lineno"> 1422</span>  DataType::QSymmS16</div><div class="line"><a name="l01423"></a><span class="lineno"> 1423</span>  };</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01426"></a><span class="lineno"> 1426</span>  <span class="stringliteral">"Reference pad: input is not a supported type."</span>);</div><div class="line"><a name="l01427"></a><span class="lineno"> 1427</span> </div><div class="line"><a name="l01428"></a><span class="lineno"> 1428</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01429"></a><span class="lineno"> 1429</span>  <span class="stringliteral">"Reference pad: output is not a supported type."</span>);</div><div class="line"><a name="l01430"></a><span class="lineno"> 1430</span> </div><div class="line"><a name="l01431"></a><span class="lineno"> 1431</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l01432"></a><span class="lineno"> 1432</span>  <span class="stringliteral">"Reference pad: input and output types are mismatched."</span>);</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">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</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> </div><div class="line"><a name="l01437"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a9d553495d9a94fa55588ae159d8bda30"> 1437</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#aa3a1bea3b3cd5611f13c06020dababc4">RefLayerSupport::IsPermuteSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01438"></a><span class="lineno"> 1438</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01439"></a><span class="lineno"> 1439</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml">PermuteDescriptor</a>& descriptor,</div><div class="line"><a name="l01440"></a><span class="lineno"> 1440</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01441"></a><span class="lineno"> 1441</span> <span class="keyword"></span>{</div><div class="line"><a name="l01442"></a><span class="lineno"> 1442</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l01443"></a><span class="lineno"> 1443</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01444"></a><span class="lineno"> 1444</span> </div><div class="line"><a name="l01445"></a><span class="lineno"> 1445</span>  <span class="comment">// Define supported output and inputs types.</span></div><div class="line"><a name="l01446"></a><span class="lineno"> 1446</span>  std::array<DataType, 5> supportedTypes =</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>  DataType::BFloat16,</div><div class="line"><a name="l01449"></a><span class="lineno"> 1449</span>  DataType::Float32,</div><div class="line"><a name="l01450"></a><span class="lineno"> 1450</span>  DataType::Float16,</div><div class="line"><a name="l01451"></a><span class="lineno"> 1451</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01452"></a><span class="lineno"> 1452</span>  DataType::QSymmS16</div><div class="line"><a name="l01453"></a><span class="lineno"> 1453</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01456"></a><span class="lineno"> 1456</span>  <span class="stringliteral">"Reference permute: input is not a supported type."</span>);</div><div class="line"><a name="l01457"></a><span class="lineno"> 1457</span> </div><div class="line"><a name="l01458"></a><span class="lineno"> 1458</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01459"></a><span class="lineno"> 1459</span>  <span class="stringliteral">"Reference permute: output is not a supported type."</span>);</div><div class="line"><a name="l01460"></a><span class="lineno"> 1460</span> </div><div class="line"><a name="l01461"></a><span class="lineno"> 1461</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l01462"></a><span class="lineno"> 1462</span>  <span class="stringliteral">"Reference permute: input and output types are mismatched."</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">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l01465"></a><span class="lineno"> 1465</span> }</div><div class="line"><a name="l01466"></a><span class="lineno"> 1466</span> </div><div class="line"><a name="l01467"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#aa955675303d67b1d1fb51fb7f09d8c21"> 1467</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#aea548aa1485adbeeb3e393a13bb6bff8">RefLayerSupport::IsPooling2dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01468"></a><span class="lineno"> 1468</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01469"></a><span class="lineno"> 1469</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml">Pooling2dDescriptor</a>& descriptor,</div><div class="line"><a name="l01470"></a><span class="lineno"> 1470</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01471"></a><span class="lineno"> 1471</span> <span class="keyword"></span>{</div><div class="line"><a name="l01472"></a><span class="lineno"> 1472</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l01473"></a><span class="lineno"> 1473</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</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>  <span class="comment">// Define supported output and inputs types.</span></div><div class="line"><a name="l01476"></a><span class="lineno"> 1476</span>  std::array<DataType,6> supportedTypes =</div><div class="line"><a name="l01477"></a><span class="lineno"> 1477</span>  {</div><div class="line"><a name="l01478"></a><span class="lineno"> 1478</span>  DataType::BFloat16,</div><div class="line"><a name="l01479"></a><span class="lineno"> 1479</span>  DataType::Float32,</div><div class="line"><a name="l01480"></a><span class="lineno"> 1480</span>  DataType::Float16,</div><div class="line"><a name="l01481"></a><span class="lineno"> 1481</span>  DataType::QAsymmS8,</div><div class="line"><a name="l01482"></a><span class="lineno"> 1482</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01483"></a><span class="lineno"> 1483</span>  DataType::QSymmS16</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> </div><div class="line"><a name="l01486"></a><span class="lineno"> 1486</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01487"></a><span class="lineno"> 1487</span>  <span class="stringliteral">"Reference poolind2d: input is not a supported type."</span>);</div><div class="line"><a name="l01488"></a><span class="lineno"> 1488</span> </div><div class="line"><a name="l01489"></a><span class="lineno"> 1489</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01490"></a><span class="lineno"> 1490</span>  <span class="stringliteral">"Reference poolind2d: output is not a supported type."</span>);</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l01493"></a><span class="lineno"> 1493</span>  <span class="stringliteral">"Reference poolind2d: input and output types are mismatched."</span>);</div><div class="line"><a name="l01494"></a><span class="lineno"> 1494</span> </div><div class="line"><a name="l01495"></a><span class="lineno"> 1495</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l01496"></a><span class="lineno"> 1496</span> }</div><div class="line"><a name="l01497"></a><span class="lineno"> 1497</span> </div><div class="line"><a name="l01498"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#ad2c7be6b84b04444e514f52f593b3df7"> 1498</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a599a95f708fa0b6a6230dc6c9e73ea3e">RefLayerSupport::IsQuantizeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01499"></a><span class="lineno"> 1499</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01500"></a><span class="lineno"> 1500</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01501"></a><span class="lineno"> 1501</span> <span class="keyword"></span>{</div><div class="line"><a name="l01502"></a><span class="lineno"> 1502</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01503"></a><span class="lineno"> 1503</span> </div><div class="line"><a name="l01504"></a><span class="lineno"> 1504</span>  <span class="comment">// Define supported input types.</span></div><div class="line"><a name="l01505"></a><span class="lineno"> 1505</span>  std::array<DataType,7> supportedInputTypes = {</div><div class="line"><a name="l01506"></a><span class="lineno"> 1506</span>  DataType::BFloat16,</div><div class="line"><a name="l01507"></a><span class="lineno"> 1507</span>  DataType::Float32,</div><div class="line"><a name="l01508"></a><span class="lineno"> 1508</span>  DataType::Float16,</div><div class="line"><a name="l01509"></a><span class="lineno"> 1509</span>  DataType::QAsymmS8,</div><div class="line"><a name="l01510"></a><span class="lineno"> 1510</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01511"></a><span class="lineno"> 1511</span>  DataType::QSymmS8,</div><div class="line"><a name="l01512"></a><span class="lineno"> 1512</span>  DataType::QSymmS16</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>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedInputTypes), reasonIfUnsupported,</div><div class="line"><a name="l01516"></a><span class="lineno"> 1516</span>  <span class="stringliteral">"Reference quantize: input type not supported."</span>);</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>  <span class="comment">// Define supported output types.</span></div><div class="line"><a name="l01519"></a><span class="lineno"> 1519</span>  std::array<DataType,4> supportedOutputTypes = {</div><div class="line"><a name="l01520"></a><span class="lineno"> 1520</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01521"></a><span class="lineno"> 1521</span>  DataType::QAsymmS8,</div><div class="line"><a name="l01522"></a><span class="lineno"> 1522</span>  DataType::QSymmS8,</div><div class="line"><a name="l01523"></a><span class="lineno"> 1523</span>  DataType::QSymmS16</div><div class="line"><a name="l01524"></a><span class="lineno"> 1524</span>  };</div><div class="line"><a name="l01525"></a><span class="lineno"> 1525</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedOutputTypes), reasonIfUnsupported,</div><div class="line"><a name="l01526"></a><span class="lineno"> 1526</span>  <span class="stringliteral">"Reference quantize: output type not supported."</span>);</div><div class="line"><a name="l01527"></a><span class="lineno"> 1527</span> </div><div class="line"><a name="l01528"></a><span class="lineno"> 1528</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_shapes_are_same_total_size.xhtml">ShapesAreSameTotalSize</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l01529"></a><span class="lineno"> 1529</span>  <span class="stringliteral">"Reference quantize: input and output shapes have different num total elements."</span>);</div><div class="line"><a name="l01530"></a><span class="lineno"> 1530</span> </div><div class="line"><a name="l01531"></a><span class="lineno"> 1531</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</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> </div><div class="line"><a name="l01534"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#aa02f01bbcb48c67f5b2efc4132ec5e86"> 1534</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#af5014cbc003abcf201d4372b0012734c">RefLayerSupport::IsReshapeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01535"></a><span class="lineno"> 1535</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01536"></a><span class="lineno"> 1536</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml">ReshapeDescriptor</a>& descriptor,</div><div class="line"><a name="l01537"></a><span class="lineno"> 1537</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01538"></a><span class="lineno"> 1538</span> <span class="keyword"></span>{</div><div class="line"><a name="l01539"></a><span class="lineno"> 1539</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(output);</div><div class="line"><a name="l01540"></a><span class="lineno"> 1540</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l01541"></a><span class="lineno"> 1541</span>  <span class="comment">// Define supported output types.</span></div><div class="line"><a name="l01542"></a><span class="lineno"> 1542</span>  std::array<DataType,7> supportedOutputTypes =</div><div class="line"><a name="l01543"></a><span class="lineno"> 1543</span>  {</div><div class="line"><a name="l01544"></a><span class="lineno"> 1544</span>  DataType::BFloat16,</div><div class="line"><a name="l01545"></a><span class="lineno"> 1545</span>  DataType::Float32,</div><div class="line"><a name="l01546"></a><span class="lineno"> 1546</span>  DataType::Float16,</div><div class="line"><a name="l01547"></a><span class="lineno"> 1547</span>  DataType::Signed32,</div><div class="line"><a name="l01548"></a><span class="lineno"> 1548</span>  DataType::QAsymmS8,</div><div class="line"><a name="l01549"></a><span class="lineno"> 1549</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01550"></a><span class="lineno"> 1550</span>  DataType::QSymmS16</div><div class="line"><a name="l01551"></a><span class="lineno"> 1551</span>  };</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>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedOutputTypes), reasonIfUnsupported,</div><div class="line"><a name="l01554"></a><span class="lineno"> 1554</span>  <span class="stringliteral">"Reference reshape: input type not supported."</span>);</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> </div><div class="line"><a name="l01557"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a0f29f31e1ba46a52eedcdecd34f4cc24"> 1557</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a936d3f949a334668f839fb0bdd170b72">RefLayerSupport::IsResizeBilinearSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01558"></a><span class="lineno"> 1558</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01559"></a><span class="lineno"> 1559</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01560"></a><span class="lineno"> 1560</span> <span class="keyword"></span>{</div><div class="line"><a name="l01561"></a><span class="lineno"> 1561</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01562"></a><span class="lineno"> 1562</span>  std::array<DataType,5> supportedTypes =</div><div class="line"><a name="l01563"></a><span class="lineno"> 1563</span>  {</div><div class="line"><a name="l01564"></a><span class="lineno"> 1564</span>  DataType::BFloat16,</div><div class="line"><a name="l01565"></a><span class="lineno"> 1565</span>  DataType::Float32,</div><div class="line"><a name="l01566"></a><span class="lineno"> 1566</span>  DataType::Float16,</div><div class="line"><a name="l01567"></a><span class="lineno"> 1567</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01568"></a><span class="lineno"> 1568</span>  DataType::QSymmS16</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> </div><div class="line"><a name="l01571"></a><span class="lineno"> 1571</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01572"></a><span class="lineno"> 1572</span>  <span class="stringliteral">"Reference ResizeBilinear: input type not supported"</span>);</div><div class="line"><a name="l01573"></a><span class="lineno"> 1573</span> </div><div class="line"><a name="l01574"></a><span class="lineno"> 1574</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01575"></a><span class="lineno"> 1575</span>  <span class="stringliteral">"Reference ResizeBilinear: output type not supported"</span>);</div><div class="line"><a name="l01576"></a><span class="lineno"> 1576</span> </div><div class="line"><a name="l01577"></a><span class="lineno"> 1577</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l01578"></a><span class="lineno"> 1578</span>  <span class="stringliteral">"Reference ResizeBilinear: input and output types not matching"</span>);</div><div class="line"><a name="l01579"></a><span class="lineno"> 1579</span> </div><div class="line"><a name="l01580"></a><span class="lineno"> 1580</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l01581"></a><span class="lineno"> 1581</span> }</div><div class="line"><a name="l01582"></a><span class="lineno"> 1582</span> </div><div class="line"><a name="l01583"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a3d27a3fc6a7df0b68d80cb113aff8b6c"> 1583</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a90a1aadb53c7537f225252afd681ff22">RefLayerSupport::IsResizeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01584"></a><span class="lineno"> 1584</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01585"></a><span class="lineno"> 1585</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml">ResizeDescriptor</a>& descriptor,</div><div class="line"><a name="l01586"></a><span class="lineno"> 1586</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01587"></a><span class="lineno"> 1587</span> <span class="keyword"></span>{</div><div class="line"><a name="l01588"></a><span class="lineno"> 1588</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l01589"></a><span class="lineno"> 1589</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01590"></a><span class="lineno"> 1590</span>  std::array<DataType,6> supportedTypes =</div><div class="line"><a name="l01591"></a><span class="lineno"> 1591</span>  {</div><div class="line"><a name="l01592"></a><span class="lineno"> 1592</span>  DataType::BFloat16,</div><div class="line"><a name="l01593"></a><span class="lineno"> 1593</span>  DataType::Float32,</div><div class="line"><a name="l01594"></a><span class="lineno"> 1594</span>  DataType::Float16,</div><div class="line"><a name="l01595"></a><span class="lineno"> 1595</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01596"></a><span class="lineno"> 1596</span>  DataType::QAsymmS8,</div><div class="line"><a name="l01597"></a><span class="lineno"> 1597</span>  DataType::QSymmS16</div><div class="line"><a name="l01598"></a><span class="lineno"> 1598</span>  };</div><div class="line"><a name="l01599"></a><span class="lineno"> 1599</span> </div><div class="line"><a name="l01600"></a><span class="lineno"> 1600</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01601"></a><span class="lineno"> 1601</span>  <span class="stringliteral">"Reference Resize: input type not supported"</span>);</div><div class="line"><a name="l01602"></a><span class="lineno"> 1602</span> </div><div class="line"><a name="l01603"></a><span class="lineno"> 1603</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01604"></a><span class="lineno"> 1604</span>  <span class="stringliteral">"Reference Resize: output type not supported"</span>);</div><div class="line"><a name="l01605"></a><span class="lineno"> 1605</span> </div><div class="line"><a name="l01606"></a><span class="lineno"> 1606</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l01607"></a><span class="lineno"> 1607</span>  <span class="stringliteral">"Reference Resize: input and output types not matching"</span>);</div><div class="line"><a name="l01608"></a><span class="lineno"> 1608</span> </div><div class="line"><a name="l01609"></a><span class="lineno"> 1609</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l01610"></a><span class="lineno"> 1610</span> }</div><div class="line"><a name="l01611"></a><span class="lineno"> 1611</span> </div><div class="line"><a name="l01612"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a10ae4d84b0d31580f6fcd5107322ebcf"> 1612</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#accc42ba9679a474e75b43cdf1efa9422">RefLayerSupport::IsRsqrtSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01613"></a><span class="lineno"> 1613</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01614"></a><span class="lineno"> 1614</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01615"></a><span class="lineno"> 1615</span> <span class="keyword"></span>{</div><div class="line"><a name="l01616"></a><span class="lineno"> 1616</span>  <span class="keywordflow">return</span> IsElementwiseUnarySupported(input,</div><div class="line"><a name="l01617"></a><span class="lineno"> 1617</span>  output,</div><div class="line"><a name="l01618"></a><span class="lineno"> 1618</span>  <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a>(UnaryOperation::Rsqrt),</div><div class="line"><a name="l01619"></a><span class="lineno"> 1619</span>  reasonIfUnsupported);</div><div class="line"><a name="l01620"></a><span class="lineno"> 1620</span> }</div><div class="line"><a name="l01621"></a><span class="lineno"> 1621</span> </div><div class="line"><a name="l01622"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a0e14dafa85cfcd4a6b6b752284b51e63"> 1622</a></span> <span class="keywordtype">bool</span> RefLayerSupport::IsSliceSupported(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01623"></a><span class="lineno"> 1623</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01624"></a><span class="lineno"> 1624</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_slice_descriptor.xhtml">SliceDescriptor</a>& descriptor,</div><div class="line"><a name="l01625"></a><span class="lineno"> 1625</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01626"></a><span class="lineno"> 1626</span> <span class="keyword"></span>{</div><div class="line"><a name="l01627"></a><span class="lineno"> 1627</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l01628"></a><span class="lineno"> 1628</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01629"></a><span class="lineno"> 1629</span> </div><div class="line"><a name="l01630"></a><span class="lineno"> 1630</span>  std::array<DataType, 4> supportedTypes =</div><div class="line"><a name="l01631"></a><span class="lineno"> 1631</span>  {</div><div class="line"><a name="l01632"></a><span class="lineno"> 1632</span>  DataType::BFloat16,</div><div class="line"><a name="l01633"></a><span class="lineno"> 1633</span>  DataType::Float32,</div><div class="line"><a name="l01634"></a><span class="lineno"> 1634</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01635"></a><span class="lineno"> 1635</span>  DataType::QSymmS16</div><div class="line"><a name="l01636"></a><span class="lineno"> 1636</span>  };</div><div class="line"><a name="l01637"></a><span class="lineno"> 1637</span> </div><div class="line"><a name="l01638"></a><span class="lineno"> 1638</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01639"></a><span class="lineno"> 1639</span>  <span class="stringliteral">"Reference Slice: input type not supported"</span>);</div><div class="line"><a name="l01640"></a><span class="lineno"> 1640</span> </div><div class="line"><a name="l01641"></a><span class="lineno"> 1641</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01642"></a><span class="lineno"> 1642</span>  <span class="stringliteral">"Reference Slice: output type not supported"</span>);</div><div class="line"><a name="l01643"></a><span class="lineno"> 1643</span> </div><div class="line"><a name="l01644"></a><span class="lineno"> 1644</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l01645"></a><span class="lineno"> 1645</span>  <span class="stringliteral">"Reference Slice: input and output types are mismatched"</span>);</div><div class="line"><a name="l01646"></a><span class="lineno"> 1646</span> </div><div class="line"><a name="l01647"></a><span class="lineno"> 1647</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l01648"></a><span class="lineno"> 1648</span> }</div><div class="line"><a name="l01649"></a><span class="lineno"> 1649</span> </div><div class="line"><a name="l01650"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a8385cf8227907904a6a86fac318fc099"> 1650</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a477695b3df8c0abd2efcf02051f61065">RefLayerSupport::IsSoftmaxSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01651"></a><span class="lineno"> 1651</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01652"></a><span class="lineno"> 1652</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">SoftmaxDescriptor</a>& descriptor,</div><div class="line"><a name="l01653"></a><span class="lineno"> 1653</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01654"></a><span class="lineno"> 1654</span> <span class="keyword"></span>{</div><div class="line"><a name="l01655"></a><span class="lineno"> 1655</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l01656"></a><span class="lineno"> 1656</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01657"></a><span class="lineno"> 1657</span>  std::array<DataType,7> supportedTypes =</div><div class="line"><a name="l01658"></a><span class="lineno"> 1658</span>  {</div><div class="line"><a name="l01659"></a><span class="lineno"> 1659</span>  DataType::BFloat16,</div><div class="line"><a name="l01660"></a><span class="lineno"> 1660</span>  DataType::Float32,</div><div class="line"><a name="l01661"></a><span class="lineno"> 1661</span>  DataType::Float16,</div><div class="line"><a name="l01662"></a><span class="lineno"> 1662</span>  DataType::QSymmS8,</div><div class="line"><a name="l01663"></a><span class="lineno"> 1663</span>  DataType::QAsymmS8,</div><div class="line"><a name="l01664"></a><span class="lineno"> 1664</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01665"></a><span class="lineno"> 1665</span>  DataType::QSymmS16</div><div class="line"><a name="l01666"></a><span class="lineno"> 1666</span>  };</div><div class="line"><a name="l01667"></a><span class="lineno"> 1667</span> </div><div class="line"><a name="l01668"></a><span class="lineno"> 1668</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01669"></a><span class="lineno"> 1669</span>  <span class="stringliteral">"Reference Softmax: output type not supported"</span>);</div><div class="line"><a name="l01670"></a><span class="lineno"> 1670</span> </div><div class="line"><a name="l01671"></a><span class="lineno"> 1671</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01672"></a><span class="lineno"> 1672</span>  <span class="stringliteral">"Reference Softmax: input type not supported"</span>);</div><div class="line"><a name="l01673"></a><span class="lineno"> 1673</span> </div><div class="line"><a name="l01674"></a><span class="lineno"> 1674</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l01675"></a><span class="lineno"> 1675</span>  <span class="stringliteral">"Reference Softmax: input type not supported"</span>);</div><div class="line"><a name="l01676"></a><span class="lineno"> 1676</span> </div><div class="line"><a name="l01677"></a><span class="lineno"> 1677</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l01678"></a><span class="lineno"> 1678</span> }</div><div class="line"><a name="l01679"></a><span class="lineno"> 1679</span> </div><div class="line"><a name="l01680"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a3adfc31e079a970e028e537ec05fabf5"> 1680</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a4b3a41e24d4b9e2b4cb431dc90c48970">RefLayerSupport::IsSpaceToBatchNdSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01681"></a><span class="lineno"> 1681</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01682"></a><span class="lineno"> 1682</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">SpaceToBatchNdDescriptor</a>& descriptor,</div><div class="line"><a name="l01683"></a><span class="lineno"> 1683</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01684"></a><span class="lineno"> 1684</span> <span class="keyword"></span>{</div><div class="line"><a name="l01685"></a><span class="lineno"> 1685</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l01686"></a><span class="lineno"> 1686</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01687"></a><span class="lineno"> 1687</span>  std::array<DataType,5> supportedTypes =</div><div class="line"><a name="l01688"></a><span class="lineno"> 1688</span>  {</div><div class="line"><a name="l01689"></a><span class="lineno"> 1689</span>  DataType::BFloat16,</div><div class="line"><a name="l01690"></a><span class="lineno"> 1690</span>  DataType::Float32,</div><div class="line"><a name="l01691"></a><span class="lineno"> 1691</span>  DataType::Float16,</div><div class="line"><a name="l01692"></a><span class="lineno"> 1692</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01693"></a><span class="lineno"> 1693</span>  DataType::QSymmS16</div><div class="line"><a name="l01694"></a><span class="lineno"> 1694</span>  };</div><div class="line"><a name="l01695"></a><span class="lineno"> 1695</span> </div><div class="line"><a name="l01696"></a><span class="lineno"> 1696</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01697"></a><span class="lineno"> 1697</span>  <span class="stringliteral">"Reference SpaceToBatchNd: input type not supported"</span>);</div><div class="line"><a name="l01698"></a><span class="lineno"> 1698</span> </div><div class="line"><a name="l01699"></a><span class="lineno"> 1699</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01700"></a><span class="lineno"> 1700</span>  <span class="stringliteral">"Reference SpaceToBatchNd: output type not supported"</span>);</div><div class="line"><a name="l01701"></a><span class="lineno"> 1701</span> </div><div class="line"><a name="l01702"></a><span class="lineno"> 1702</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l01703"></a><span class="lineno"> 1703</span>  <span class="stringliteral">"Reference SpaceToBatchNd: input and output types are mismatched"</span>);</div><div class="line"><a name="l01704"></a><span class="lineno"> 1704</span> </div><div class="line"><a name="l01705"></a><span class="lineno"> 1705</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l01706"></a><span class="lineno"> 1706</span> }</div><div class="line"><a name="l01707"></a><span class="lineno"> 1707</span> </div><div class="line"><a name="l01708"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#ab2af1e7da9490d29e569d271e16b0d5c"> 1708</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#addffaddb4bdb6ec506fe08debcce9b75">RefLayerSupport::IsSpaceToDepthSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01709"></a><span class="lineno"> 1709</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01710"></a><span class="lineno"> 1710</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a>& descriptor,</div><div class="line"><a name="l01711"></a><span class="lineno"> 1711</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01712"></a><span class="lineno"> 1712</span> <span class="keyword"></span>{</div><div class="line"><a name="l01713"></a><span class="lineno"> 1713</span> </div><div class="line"><a name="l01714"></a><span class="lineno"> 1714</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l01715"></a><span class="lineno"> 1715</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01716"></a><span class="lineno"> 1716</span> </div><div class="line"><a name="l01717"></a><span class="lineno"> 1717</span>  std::array<DataType,5> supportedTypes =</div><div class="line"><a name="l01718"></a><span class="lineno"> 1718</span>  {</div><div class="line"><a name="l01719"></a><span class="lineno"> 1719</span>  DataType::BFloat16,</div><div class="line"><a name="l01720"></a><span class="lineno"> 1720</span>  DataType::Float32,</div><div class="line"><a name="l01721"></a><span class="lineno"> 1721</span>  DataType::Float16,</div><div class="line"><a name="l01722"></a><span class="lineno"> 1722</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01723"></a><span class="lineno"> 1723</span>  DataType::QSymmS16</div><div class="line"><a name="l01724"></a><span class="lineno"> 1724</span>  };</div><div class="line"><a name="l01725"></a><span class="lineno"> 1725</span> </div><div class="line"><a name="l01726"></a><span class="lineno"> 1726</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01727"></a><span class="lineno"> 1727</span>  <span class="stringliteral">"Reference SpaceToDepth: input type not supported"</span>);</div><div class="line"><a name="l01728"></a><span class="lineno"> 1728</span> </div><div class="line"><a name="l01729"></a><span class="lineno"> 1729</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01730"></a><span class="lineno"> 1730</span>  <span class="stringliteral">"Reference SpaceToDepth: output type not supported"</span>);</div><div class="line"><a name="l01731"></a><span class="lineno"> 1731</span> </div><div class="line"><a name="l01732"></a><span class="lineno"> 1732</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l01733"></a><span class="lineno"> 1733</span>  <span class="stringliteral">"Reference SpaceToDepth: input and output types are mismatched"</span>);</div><div class="line"><a name="l01734"></a><span class="lineno"> 1734</span> </div><div class="line"><a name="l01735"></a><span class="lineno"> 1735</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l01736"></a><span class="lineno"> 1736</span> }</div><div class="line"><a name="l01737"></a><span class="lineno"> 1737</span> </div><div class="line"><a name="l01738"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a17dd12822d49a23d24198f425a6fb9c4"> 1738</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a7ce5f7168bf0d1e7efe269d59ed564ba">RefLayerSupport::IsSplitterSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01739"></a><span class="lineno"> 1739</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>& descriptor,</div><div class="line"><a name="l01740"></a><span class="lineno"> 1740</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01741"></a><span class="lineno"> 1741</span> <span class="keyword"></span>{</div><div class="line"><a name="l01742"></a><span class="lineno"> 1742</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l01743"></a><span class="lineno"> 1743</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01744"></a><span class="lineno"> 1744</span>  std::array<DataType,5> supportedTypes =</div><div class="line"><a name="l01745"></a><span class="lineno"> 1745</span>  {</div><div class="line"><a name="l01746"></a><span class="lineno"> 1746</span>  DataType::BFloat16,</div><div class="line"><a name="l01747"></a><span class="lineno"> 1747</span>  DataType::Float32,</div><div class="line"><a name="l01748"></a><span class="lineno"> 1748</span>  DataType::Float16,</div><div class="line"><a name="l01749"></a><span class="lineno"> 1749</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01750"></a><span class="lineno"> 1750</span>  DataType::QSymmS16</div><div class="line"><a name="l01751"></a><span class="lineno"> 1751</span>  };</div><div class="line"><a name="l01752"></a><span class="lineno"> 1752</span> </div><div class="line"><a name="l01753"></a><span class="lineno"> 1753</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01754"></a><span class="lineno"> 1754</span>  <span class="stringliteral">"Reference splitter: input type not supported"</span>);</div><div class="line"><a name="l01755"></a><span class="lineno"> 1755</span> </div><div class="line"><a name="l01756"></a><span class="lineno"> 1756</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l01757"></a><span class="lineno"> 1757</span> }</div><div class="line"><a name="l01758"></a><span class="lineno"> 1758</span> </div><div class="line"><a name="l01759"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#aa746e752ce8874669ea549f8e50896da"> 1759</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a7ce5f7168bf0d1e7efe269d59ed564ba">RefLayerSupport::IsSplitterSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01760"></a><span class="lineno"> 1760</span>  <span class="keyword">const</span> std::vector<std::reference_wrapper<TensorInfo>>& outputs,</div><div class="line"><a name="l01761"></a><span class="lineno"> 1761</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>& descriptor,</div><div class="line"><a name="l01762"></a><span class="lineno"> 1762</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01763"></a><span class="lineno"> 1763</span> <span class="keyword"></span>{</div><div class="line"><a name="l01764"></a><span class="lineno"> 1764</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l01765"></a><span class="lineno"> 1765</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01766"></a><span class="lineno"> 1766</span>  std::array<DataType,5> supportedTypes =</div><div class="line"><a name="l01767"></a><span class="lineno"> 1767</span>  {</div><div class="line"><a name="l01768"></a><span class="lineno"> 1768</span>  DataType::BFloat16,</div><div class="line"><a name="l01769"></a><span class="lineno"> 1769</span>  DataType::Float32,</div><div class="line"><a name="l01770"></a><span class="lineno"> 1770</span>  DataType::Float16,</div><div class="line"><a name="l01771"></a><span class="lineno"> 1771</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01772"></a><span class="lineno"> 1772</span>  DataType::QSymmS16</div><div class="line"><a name="l01773"></a><span class="lineno"> 1773</span>  };</div><div class="line"><a name="l01774"></a><span class="lineno"> 1774</span> </div><div class="line"><a name="l01775"></a><span class="lineno"> 1775</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01776"></a><span class="lineno"> 1776</span>  <span class="stringliteral">"Reference splitter: output type not supported"</span>);</div><div class="line"><a name="l01777"></a><span class="lineno"> 1777</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> output : outputs)</div><div class="line"><a name="l01778"></a><span class="lineno"> 1778</span>  {</div><div class="line"><a name="l01779"></a><span class="lineno"> 1779</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01780"></a><span class="lineno"> 1780</span>  <span class="stringliteral">"Reference splitter: input type not supported"</span>);</div><div class="line"><a name="l01781"></a><span class="lineno"> 1781</span> </div><div class="line"><a name="l01782"></a><span class="lineno"> 1782</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l01783"></a><span class="lineno"> 1783</span>  <span class="stringliteral">"Reference splitter: input and output types mismatched."</span>);</div><div class="line"><a name="l01784"></a><span class="lineno"> 1784</span>  }</div><div class="line"><a name="l01785"></a><span class="lineno"> 1785</span> </div><div class="line"><a name="l01786"></a><span class="lineno"> 1786</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l01787"></a><span class="lineno"> 1787</span> }</div><div class="line"><a name="l01788"></a><span class="lineno"> 1788</span> </div><div class="line"><a name="l01789"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#ab4609f1baf5fcd295951f3c8abdffd90"> 1789</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a10e8442be2b8596afd5770e98b904caa">RefLayerSupport::IsStackSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*>& inputs,</div><div class="line"><a name="l01790"></a><span class="lineno"> 1790</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01791"></a><span class="lineno"> 1791</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_descriptor.xhtml">StackDescriptor</a>& descriptor,</div><div class="line"><a name="l01792"></a><span class="lineno"> 1792</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01793"></a><span class="lineno"> 1793</span> <span class="keyword"></span>{</div><div class="line"><a name="l01794"></a><span class="lineno"> 1794</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l01795"></a><span class="lineno"> 1795</span> </div><div class="line"><a name="l01796"></a><span class="lineno"> 1796</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01797"></a><span class="lineno"> 1797</span>  std::array<DataType,5> supportedTypes =</div><div class="line"><a name="l01798"></a><span class="lineno"> 1798</span>  {</div><div class="line"><a name="l01799"></a><span class="lineno"> 1799</span>  DataType::BFloat16,</div><div class="line"><a name="l01800"></a><span class="lineno"> 1800</span>  DataType::Float32,</div><div class="line"><a name="l01801"></a><span class="lineno"> 1801</span>  DataType::Float16,</div><div class="line"><a name="l01802"></a><span class="lineno"> 1802</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01803"></a><span class="lineno"> 1803</span>  DataType::QSymmS16</div><div class="line"><a name="l01804"></a><span class="lineno"> 1804</span>  };</div><div class="line"><a name="l01805"></a><span class="lineno"> 1805</span> </div><div class="line"><a name="l01806"></a><span class="lineno"> 1806</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01807"></a><span class="lineno"> 1807</span>  <span class="stringliteral">"Reference stack: output type not supported"</span>);</div><div class="line"><a name="l01808"></a><span class="lineno"> 1808</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>* input : inputs)</div><div class="line"><a name="l01809"></a><span class="lineno"> 1809</span>  {</div><div class="line"><a name="l01810"></a><span class="lineno"> 1810</span>  BOOST_ASSERT(input != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l01811"></a><span class="lineno"> 1811</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(*input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01812"></a><span class="lineno"> 1812</span>  <span class="stringliteral">"Reference stack: input type not supported"</span>);</div><div class="line"><a name="l01813"></a><span class="lineno"> 1813</span> </div><div class="line"><a name="l01814"></a><span class="lineno"> 1814</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(*input, output), reasonIfUnsupported,</div><div class="line"><a name="l01815"></a><span class="lineno"> 1815</span>  <span class="stringliteral">"Reference stack: input and output types mismatched."</span>);</div><div class="line"><a name="l01816"></a><span class="lineno"> 1816</span>  }</div><div class="line"><a name="l01817"></a><span class="lineno"> 1817</span> </div><div class="line"><a name="l01818"></a><span class="lineno"> 1818</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l01819"></a><span class="lineno"> 1819</span> }</div><div class="line"><a name="l01820"></a><span class="lineno"> 1820</span> </div><div class="line"><a name="l01821"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#ac054cb25099005eac854afb1511340f0"> 1821</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#aebe3dc6730e1b29aee9c9f33b8f94121">RefLayerSupport::IsStridedSliceSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01822"></a><span class="lineno"> 1822</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01823"></a><span class="lineno"> 1823</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml">StridedSliceDescriptor</a>& descriptor,</div><div class="line"><a name="l01824"></a><span class="lineno"> 1824</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01825"></a><span class="lineno"> 1825</span> <span class="keyword"></span>{</div><div class="line"><a name="l01826"></a><span class="lineno"> 1826</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l01827"></a><span class="lineno"> 1827</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01828"></a><span class="lineno"> 1828</span> </div><div class="line"><a name="l01829"></a><span class="lineno"> 1829</span>  std::array<DataType,4> supportedTypes =</div><div class="line"><a name="l01830"></a><span class="lineno"> 1830</span>  {</div><div class="line"><a name="l01831"></a><span class="lineno"> 1831</span>  DataType::BFloat16,</div><div class="line"><a name="l01832"></a><span class="lineno"> 1832</span>  DataType::Float32,</div><div class="line"><a name="l01833"></a><span class="lineno"> 1833</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01834"></a><span class="lineno"> 1834</span>  DataType::QSymmS16</div><div class="line"><a name="l01835"></a><span class="lineno"> 1835</span>  };</div><div class="line"><a name="l01836"></a><span class="lineno"> 1836</span> </div><div class="line"><a name="l01837"></a><span class="lineno"> 1837</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01838"></a><span class="lineno"> 1838</span>  <span class="stringliteral">"Reference StridedSlice: input type not supported"</span>);</div><div class="line"><a name="l01839"></a><span class="lineno"> 1839</span> </div><div class="line"><a name="l01840"></a><span class="lineno"> 1840</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01841"></a><span class="lineno"> 1841</span>  <span class="stringliteral">"Reference StridedSlice: output type not supported"</span>);</div><div class="line"><a name="l01842"></a><span class="lineno"> 1842</span> </div><div class="line"><a name="l01843"></a><span class="lineno"> 1843</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l01844"></a><span class="lineno"> 1844</span>  <span class="stringliteral">"Reference StridedSlice: input and output types are mismatched"</span>);</div><div class="line"><a name="l01845"></a><span class="lineno"> 1845</span> </div><div class="line"><a name="l01846"></a><span class="lineno"> 1846</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l01847"></a><span class="lineno"> 1847</span> }</div><div class="line"><a name="l01848"></a><span class="lineno"> 1848</span> </div><div class="line"><a name="l01849"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#af6c947e4d4b25bc49d92d18d4ff26736"> 1849</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#afbf752a51fa513e0a54e343be130d962">RefLayerSupport::IsSubtractionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l01850"></a><span class="lineno"> 1850</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l01851"></a><span class="lineno"> 1851</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01852"></a><span class="lineno"> 1852</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01853"></a><span class="lineno"> 1853</span> <span class="keyword"></span>{</div><div class="line"><a name="l01854"></a><span class="lineno"> 1854</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01855"></a><span class="lineno"> 1855</span> </div><div class="line"><a name="l01856"></a><span class="lineno"> 1856</span>  std::array<DataType,5> supportedTypes = {</div><div class="line"><a name="l01857"></a><span class="lineno"> 1857</span>  DataType::BFloat16,</div><div class="line"><a name="l01858"></a><span class="lineno"> 1858</span>  DataType::Float32,</div><div class="line"><a name="l01859"></a><span class="lineno"> 1859</span>  DataType::Float16,</div><div class="line"><a name="l01860"></a><span class="lineno"> 1860</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01861"></a><span class="lineno"> 1861</span>  DataType::QSymmS16</div><div class="line"><a name="l01862"></a><span class="lineno"> 1862</span>  };</div><div class="line"><a name="l01863"></a><span class="lineno"> 1863</span> </div><div class="line"><a name="l01864"></a><span class="lineno"> 1864</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input0, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01865"></a><span class="lineno"> 1865</span>  <span class="stringliteral">"Reference subtraction: input 0 is not a supported type."</span>);</div><div class="line"><a name="l01866"></a><span class="lineno"> 1866</span> </div><div class="line"><a name="l01867"></a><span class="lineno"> 1867</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input1, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01868"></a><span class="lineno"> 1868</span>  <span class="stringliteral">"Reference subtraction: input 1 is not a supported type."</span>);</div><div class="line"><a name="l01869"></a><span class="lineno"> 1869</span> </div><div class="line"><a name="l01870"></a><span class="lineno"> 1870</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01871"></a><span class="lineno"> 1871</span>  <span class="stringliteral">"Reference subtraction: output is not a supported type."</span>);</div><div class="line"><a name="l01872"></a><span class="lineno"> 1872</span> </div><div class="line"><a name="l01873"></a><span class="lineno"> 1873</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input0, input1), reasonIfUnsupported,</div><div class="line"><a name="l01874"></a><span class="lineno"> 1874</span>  <span class="stringliteral">"Reference subtraction: input 0 and Input 1 types are mismatched"</span>);</div><div class="line"><a name="l01875"></a><span class="lineno"> 1875</span> </div><div class="line"><a name="l01876"></a><span class="lineno"> 1876</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input0, output), reasonIfUnsupported,</div><div class="line"><a name="l01877"></a><span class="lineno"> 1877</span>  <span class="stringliteral">"Reference subtraction: input and output types are mismatched"</span>);</div><div class="line"><a name="l01878"></a><span class="lineno"> 1878</span> </div><div class="line"><a name="l01879"></a><span class="lineno"> 1879</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_shapes_are_broadcast_compatible.xhtml">ShapesAreBroadcastCompatible</a>(input0, input1, output), reasonIfUnsupported,</div><div class="line"><a name="l01880"></a><span class="lineno"> 1880</span>  <span class="stringliteral">"Reference subtraction: shapes are not suitable for implicit broadcast."</span>);</div><div class="line"><a name="l01881"></a><span class="lineno"> 1881</span> </div><div class="line"><a name="l01882"></a><span class="lineno"> 1882</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l01883"></a><span class="lineno"> 1883</span> }</div><div class="line"><a name="l01884"></a><span class="lineno"> 1884</span> </div><div class="line"><a name="l01885"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a4b36dcedd5edbd5142b3548967aadc2f"> 1885</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#a5a0c1871f7e4822adb8b15e8ae76bca0">RefLayerSupport::IsPreluSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01886"></a><span class="lineno"> 1886</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& alpha,</div><div class="line"><a name="l01887"></a><span class="lineno"> 1887</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01888"></a><span class="lineno"> 1888</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01889"></a><span class="lineno"> 1889</span> <span class="keyword"></span>{</div><div class="line"><a name="l01890"></a><span class="lineno"> 1890</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01891"></a><span class="lineno"> 1891</span> </div><div class="line"><a name="l01892"></a><span class="lineno"> 1892</span>  std::array<DataType, 5> supportedTypes</div><div class="line"><a name="l01893"></a><span class="lineno"> 1893</span>  {</div><div class="line"><a name="l01894"></a><span class="lineno"> 1894</span>  DataType::BFloat16,</div><div class="line"><a name="l01895"></a><span class="lineno"> 1895</span>  DataType::Float32,</div><div class="line"><a name="l01896"></a><span class="lineno"> 1896</span>  DataType::Float16,</div><div class="line"><a name="l01897"></a><span class="lineno"> 1897</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01898"></a><span class="lineno"> 1898</span>  DataType::QSymmS16</div><div class="line"><a name="l01899"></a><span class="lineno"> 1899</span>  };</div><div class="line"><a name="l01900"></a><span class="lineno"> 1900</span> </div><div class="line"><a name="l01901"></a><span class="lineno"> 1901</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01902"></a><span class="lineno"> 1902</span>  <span class="stringliteral">"PReLU: input is not a supported type."</span>);</div><div class="line"><a name="l01903"></a><span class="lineno"> 1903</span> </div><div class="line"><a name="l01904"></a><span class="lineno"> 1904</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(alpha, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01905"></a><span class="lineno"> 1905</span>  <span class="stringliteral">"PReLU: alpha is not a supported type."</span>);</div><div class="line"><a name="l01906"></a><span class="lineno"> 1906</span> </div><div class="line"><a name="l01907"></a><span class="lineno"> 1907</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01908"></a><span class="lineno"> 1908</span>  <span class="stringliteral">"PReLU: output is not a supported type."</span>);</div><div class="line"><a name="l01909"></a><span class="lineno"> 1909</span> </div><div class="line"><a name="l01910"></a><span class="lineno"> 1910</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, alpha, output), reasonIfUnsupported,</div><div class="line"><a name="l01911"></a><span class="lineno"> 1911</span>  <span class="stringliteral">"PReLU: input, alpha and output types are mismatched"</span>);</div><div class="line"><a name="l01912"></a><span class="lineno"> 1912</span> </div><div class="line"><a name="l01913"></a><span class="lineno"> 1913</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_shapes_are_broadcast_compatible.xhtml">ShapesAreBroadcastCompatible</a>(input, alpha, output), reasonIfUnsupported,</div><div class="line"><a name="l01914"></a><span class="lineno"> 1914</span>  <span class="stringliteral">"PReLU: shapes are not suitable for implicit broadcast"</span>);</div><div class="line"><a name="l01915"></a><span class="lineno"> 1915</span> </div><div class="line"><a name="l01916"></a><span class="lineno"> 1916</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l01917"></a><span class="lineno"> 1917</span> }</div><div class="line"><a name="l01918"></a><span class="lineno"> 1918</span> </div><div class="line"><a name="l01919"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a0c69484f19ed650ad48b716719114e51"> 1919</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.xhtml#ac6cc8e0bd35d229486fe6d844d88e0d4">RefLayerSupport::IsTransposeConvolution2dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01920"></a><span class="lineno"> 1920</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01921"></a><span class="lineno"> 1921</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">TransposeConvolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l01922"></a><span class="lineno"> 1922</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div><div class="line"><a name="l01923"></a><span class="lineno"> 1923</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div><div class="line"><a name="l01924"></a><span class="lineno"> 1924</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01925"></a><span class="lineno"> 1925</span> <span class="keyword"></span>{</div><div class="line"><a name="l01926"></a><span class="lineno"> 1926</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l01927"></a><span class="lineno"> 1927</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01928"></a><span class="lineno"> 1928</span> </div><div class="line"><a name="l01929"></a><span class="lineno"> 1929</span>  std::array<DataType,5> supportedTypes =</div><div class="line"><a name="l01930"></a><span class="lineno"> 1930</span>  {</div><div class="line"><a name="l01931"></a><span class="lineno"> 1931</span>  DataType::BFloat16,</div><div class="line"><a name="l01932"></a><span class="lineno"> 1932</span>  DataType::Float32,</div><div class="line"><a name="l01933"></a><span class="lineno"> 1933</span>  DataType::Float16,</div><div class="line"><a name="l01934"></a><span class="lineno"> 1934</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01935"></a><span class="lineno"> 1935</span>  DataType::QSymmS16</div><div class="line"><a name="l01936"></a><span class="lineno"> 1936</span>  };</div><div class="line"><a name="l01937"></a><span class="lineno"> 1937</span> </div><div class="line"><a name="l01938"></a><span class="lineno"> 1938</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01939"></a><span class="lineno"> 1939</span>  <span class="stringliteral">"Reference TransposeConvolution2d: input is not a supported type."</span>);</div><div class="line"><a name="l01940"></a><span class="lineno"> 1940</span> </div><div class="line"><a name="l01941"></a><span class="lineno"> 1941</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01942"></a><span class="lineno"> 1942</span>  <span class="stringliteral">"Reference TransposeConvolution2d: output is not a supported type."</span>);</div><div class="line"><a name="l01943"></a><span class="lineno"> 1943</span> </div><div class="line"><a name="l01944"></a><span class="lineno"> 1944</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l01945"></a><span class="lineno"> 1945</span>  <span class="stringliteral">"Reference TransposeConvolution2d: input and output types mismatched."</span>);</div><div class="line"><a name="l01946"></a><span class="lineno"> 1946</span> </div><div class="line"><a name="l01947"></a><span class="lineno"> 1947</span> </div><div class="line"><a name="l01948"></a><span class="lineno"> 1948</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> inputType = input.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>();</div><div class="line"><a name="l01949"></a><span class="lineno"> 1949</span>  <span class="keywordflow">if</span> (inputType == DataType::QAsymmU8)</div><div class="line"><a name="l01950"></a><span class="lineno"> 1950</span>  {</div><div class="line"><a name="l01951"></a><span class="lineno"> 1951</span>  <a class="code" href="_deprecated_8hpp.xhtml#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div><div class="line"><a name="l01952"></a><span class="lineno"> 1952</span>  std::array<DataType, 3> supportedWeightTypes =</div><div class="line"><a name="l01953"></a><span class="lineno"> 1953</span>  {</div><div class="line"><a name="l01954"></a><span class="lineno"> 1954</span>  DataType::QAsymmU8,</div><div class="line"><a name="l01955"></a><span class="lineno"> 1955</span>  DataType::QSymmS8,</div><div class="line"><a name="l01956"></a><span class="lineno"> 1956</span>  DataType::QuantizedSymm8PerAxis <span class="comment">//Deprecated</span></div><div class="line"><a name="l01957"></a><span class="lineno"> 1957</span>  };</div><div class="line"><a name="l01958"></a><span class="lineno"> 1958</span>  <a class="code" href="_deprecated_8hpp.xhtml#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div><div class="line"><a name="l01959"></a><span class="lineno"> 1959</span> </div><div class="line"><a name="l01960"></a><span class="lineno"> 1960</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(weights, supportedWeightTypes), reasonIfUnsupported,</div><div class="line"><a name="l01961"></a><span class="lineno"> 1961</span>  <span class="stringliteral">"Reference TransposeConvolution2d: weights type not supported for "</span></div><div class="line"><a name="l01962"></a><span class="lineno"> 1962</span>  <span class="stringliteral">"quantized input."</span>);</div><div class="line"><a name="l01963"></a><span class="lineno"> 1963</span>  }</div><div class="line"><a name="l01964"></a><span class="lineno"> 1964</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l01965"></a><span class="lineno"> 1965</span>  {</div><div class="line"><a name="l01966"></a><span class="lineno"> 1966</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(weights, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01967"></a><span class="lineno"> 1967</span>  <span class="stringliteral">"Reference TransposeConvolution2d: weights is not a supported type."</span>);</div><div class="line"><a name="l01968"></a><span class="lineno"> 1968</span> </div><div class="line"><a name="l01969"></a><span class="lineno"> 1969</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, weights), reasonIfUnsupported,</div><div class="line"><a name="l01970"></a><span class="lineno"> 1970</span>  <span class="stringliteral">"Reference TransposeConvolution2d: input and weights types mismatched."</span>);</div><div class="line"><a name="l01971"></a><span class="lineno"> 1971</span>  }</div><div class="line"><a name="l01972"></a><span class="lineno"> 1972</span> </div><div class="line"><a name="l01973"></a><span class="lineno"> 1973</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="l01974"></a><span class="lineno"> 1974</span>  {</div><div class="line"><a name="l01975"></a><span class="lineno"> 1975</span>  std::array<DataType,4> biasesSupportedTypes =</div><div class="line"><a name="l01976"></a><span class="lineno"> 1976</span>  {</div><div class="line"><a name="l01977"></a><span class="lineno"> 1977</span>  DataType::BFloat16,</div><div class="line"><a name="l01978"></a><span class="lineno"> 1978</span>  DataType::Float32,</div><div class="line"><a name="l01979"></a><span class="lineno"> 1979</span>  DataType::Float16,</div><div class="line"><a name="l01980"></a><span class="lineno"> 1980</span>  DataType::Signed32</div><div class="line"><a name="l01981"></a><span class="lineno"> 1981</span>  };</div><div class="line"><a name="l01982"></a><span class="lineno"> 1982</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(biases.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>(), biasesSupportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l01983"></a><span class="lineno"> 1983</span>  <span class="stringliteral">"Reference TransposeConvolution2d: biases is not a supported type."</span>);</div><div class="line"><a name="l01984"></a><span class="lineno"> 1984</span>  }</div><div class="line"><a name="l01985"></a><span class="lineno"> 1985</span> </div><div class="line"><a name="l01986"></a><span class="lineno"> 1986</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l01987"></a><span class="lineno"> 1987</span> }</div><div class="line"><a name="l01988"></a><span class="lineno"> 1988</span> </div><div class="line"><a name="l01989"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_layer_support.xhtml#a0189645f33641b280877a1b2f6ba9fee"> 1989</a></span> <span class="keywordtype">bool</span> RefLayerSupport::IsTransposeSupported(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l01990"></a><span class="lineno"> 1990</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l01991"></a><span class="lineno"> 1991</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml">TransposeDescriptor</a>& descriptor,</div><div class="line"><a name="l01992"></a><span class="lineno"> 1992</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported)<span class="keyword"> const</span></div><div class="line"><a name="l01993"></a><span class="lineno"> 1993</span> <span class="keyword"></span>{</div><div class="line"><a name="l01994"></a><span class="lineno"> 1994</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(descriptor);</div><div class="line"><a name="l01995"></a><span class="lineno"> 1995</span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_subgraph_view_converter.xhtml">supported</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l01996"></a><span class="lineno"> 1996</span> </div><div class="line"><a name="l01997"></a><span class="lineno"> 1997</span>  <span class="comment">// Define supported output and inputs types.</span></div><div class="line"><a name="l01998"></a><span class="lineno"> 1998</span>  std::array<DataType, 5> supportedTypes =</div><div class="line"><a name="l01999"></a><span class="lineno"> 1999</span>  {</div><div class="line"><a name="l02000"></a><span class="lineno"> 2000</span>  DataType::BFloat16,</div><div class="line"><a name="l02001"></a><span class="lineno"> 2001</span>  DataType::Float32,</div><div class="line"><a name="l02002"></a><span class="lineno"> 2002</span>  DataType::Float16,</div><div class="line"><a name="l02003"></a><span class="lineno"> 2003</span>  DataType::QAsymmU8,</div><div class="line"><a name="l02004"></a><span class="lineno"> 2004</span>  DataType::QSymmS16</div><div class="line"><a name="l02005"></a><span class="lineno"> 2005</span>  };</div><div class="line"><a name="l02006"></a><span class="lineno"> 2006</span> </div><div class="line"><a name="l02007"></a><span class="lineno"> 2007</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(input, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l02008"></a><span class="lineno"> 2008</span>  <span class="stringliteral">"Reference transpose: input is not a supported type."</span>);</div><div class="line"><a name="l02009"></a><span class="lineno"> 2009</span> </div><div class="line"><a name="l02010"></a><span class="lineno"> 2010</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_type_any_of.xhtml">TypeAnyOf</a>(output, supportedTypes), reasonIfUnsupported,</div><div class="line"><a name="l02011"></a><span class="lineno"> 2011</span>  <span class="stringliteral">"Reference transpose: output is not a supported type."</span>);</div><div class="line"><a name="l02012"></a><span class="lineno"> 2012</span> </div><div class="line"><a name="l02013"></a><span class="lineno"> 2013</span>  supported &= <a class="code" href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">CheckSupportRule</a>(<a class="code" href="structarmnn_1_1_types_are_equal.xhtml">TypesAreEqual</a>(input, output), reasonIfUnsupported,</div><div class="line"><a name="l02014"></a><span class="lineno"> 2014</span>  <span class="stringliteral">"Reference transpose: input and output types are mismatched."</span>);</div><div class="line"><a name="l02015"></a><span class="lineno"> 2015</span> </div><div class="line"><a name="l02016"></a><span class="lineno"> 2016</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">supported</a>;</div><div class="line"><a name="l02017"></a><span class="lineno"> 2017</span> }</div><div class="line"><a name="l02018"></a><span class="lineno"> 2018</span> </div><div class="line"><a name="l02019"></a><span class="lineno"> 2019</span> } <span class="comment">// namespace armnn</span></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_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_bias_and_weights_types_match_xhtml"><div class="ttname"><a href="structarmnn_1_1_bias_and_weights_types_match.xhtml">armnn::BiasAndWeightsTypesMatch</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00117">LayerSupportRules.hpp:117</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a477695b3df8c0abd2efcf02051f61065"><div class="ttname"><a href="namespacearmnn.xhtml#a477695b3df8c0abd2efcf02051f61065">armnn::IsSoftmaxSupported</a></div><div class="ttdeci">bool IsSoftmaxSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const SoftmaxDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00581">LayerSupport.cpp:581</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ac92dceabfbc1e46fe74f699f733886a8"><div class="ttname"><a href="namespacearmnn.xhtml#ac92dceabfbc1e46fe74f699f733886a8">armnn::IsDequantizeSupported</a></div><div class="ttdeci">bool IsDequantizeSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00232">LayerSupport.cpp:232</a></div></div> +<div class="ttc" id="structarmnn_1_1_rule_xhtml"><div class="ttname"><a href="structarmnn_1_1_rule.xhtml">armnn::Rule</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00047">LayerSupportRules.hpp:47</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a29b4b6b364a31632597970d0bad3d78f"><div class="ttname"><a href="namespacearmnn.xhtml#a29b4b6b364a31632597970d0bad3d78f">armnn::IsDivisionSupported</a></div><div class="ttdeci">bool IsDivisionSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00248">LayerSupport.cpp:248</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a98994026cec1578ceb7aa74c834b00d9"><div class="ttname"><a href="namespacearmnn.xhtml#a98994026cec1578ceb7aa74c834b00d9">armnn::IsConvertFp32ToFp16Supported</a></div><div class="ttdeci">bool IsConvertFp32ToFp16Supported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00169">LayerSupport.cpp:169</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a757df85e956e425c1a082d35a98ca4a9"><div class="ttname"><a href="namespacearmnn.xhtml#a757df85e956e425c1a082d35a98ca4a9">armnn::IsConcatSupported</a></div><div class="ttdeci">bool IsConcatSupported(const BackendId &backend, const std::vector< const TensorInfo *> inputs, const TensorInfo &output, const OriginsDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </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="structarmnn_1_1_lstm_input_params_info_xhtml_ae5bfdd423b16f990c1713ef9f91f947b"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#ae5bfdd423b16f990c1713ef9f91f947b">armnn::LstmInputParamsInfo::GetRecurrentToCellWeights</a></div><div class="ttdeci">const TensorInfo & GetRecurrentToCellWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00145">LstmParams.hpp:145</a></div></div> +<div class="ttc" id="structarmnn_1_1_type_any_of_xhtml"><div class="ttname"><a href="structarmnn_1_1_type_any_of.xhtml">armnn::TypeAnyOf</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00089">LayerSupportRules.hpp:89</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_aea548aa1485adbeeb3e393a13bb6bff8"><div class="ttname"><a href="namespacearmnn.xhtml#aea548aa1485adbeeb3e393a13bb6bff8">armnn::IsPooling2dSupported</a></div><div class="ttdeci">bool IsPooling2dSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const Pooling2dDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00511">LayerSupport.cpp:511</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="namespacearmnn_xhtml_a0906736b90464c0eb3ce5a87e05ebeee"><div class="ttname"><a href="namespacearmnn.xhtml#a0906736b90464c0eb3ce5a87e05ebeee">armnn::IsL2NormalizationSupported</a></div><div class="ttdeci">bool IsL2NormalizationSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const L2NormalizationDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00342">LayerSupport.cpp:342</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_info_xhtml_ad5f4be37766b41f342dd196cb1c6e141"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#ad5f4be37766b41f342dd196cb1c6e141">armnn::LstmInputParamsInfo::GetCellBias</a></div><div class="ttdeci">const TensorInfo & GetCellBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00173">LstmParams.hpp:173</a></div></div> +<div class="ttc" id="classarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00270">Optional.hpp:270</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="structarmnn_1_1_lstm_input_params_info_xhtml_ad159f9edbddeeb6cf6ff0ba042481ba8"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#ad159f9edbddeeb6cf6ff0ba042481ba8">armnn::LstmInputParamsInfo::GetRecurrentToInputWeights</a></div><div class="ttdeci">const TensorInfo & GetRecurrentToInputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00137">LstmParams.hpp:137</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_info_xhtml_aaf1af3bc828c5daa4a5c0bac28f63cc3"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#aaf1af3bc828c5daa4a5c0bac28f63cc3">armnn::LstmInputParamsInfo::GetCellLayerNormWeights</a></div><div class="ttdeci">const TensorInfo & GetCellLayerNormWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00197">LstmParams.hpp:197</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_aa8d5d17d1edd51d899fe699eb6156b58"><div class="ttname"><a href="namespacearmnn.xhtml#aa8d5d17d1edd51d899fe699eb6156b58">armnn::IsArgMinMaxSupported</a></div><div class="ttdeci">bool IsArgMinMaxSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const ArgMinMaxDescriptor &descriptor, char *reasonIfUnsupported, size_t reasonIfUnsupportedMaxLength)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00094">LayerSupport.cpp:94</a></div></div> +<div class="ttc" id="structarmnn_1_1_type_not_per_axis_quantized_xhtml"><div class="ttname"><a href="structarmnn_1_1_type_not_per_axis_quantized.xhtml">armnn::TypeNotPerAxisQuantized</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00109">LayerSupportRules.hpp:109</a></div></div> +<div class="ttc" id="_deprecated_8hpp_xhtml_ab66a241a0ed3ee89c866e777b035d0ed"><div class="ttname"><a href="_deprecated_8hpp.xhtml#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div><div class="ttdeci">#define ARMNN_NO_DEPRECATE_WARN_BEGIN</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.xhtml#l00033">Deprecated.hpp:33</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="namespacearmnn_xhtml_a2399052d9cbb2b88720b07511a2e362f"><div class="ttname"><a href="namespacearmnn.xhtml#a2399052d9cbb2b88720b07511a2e362f">armnn::IsBatchToSpaceNdSupported</a></div><div class="ttdeci">bool IsBatchToSpaceNdSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const BatchToSpaceNdDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00126">LayerSupport.cpp:126</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_lstm_input_params_info_xhtml_afe4d25acd31b98dee6f6b28d4d756071"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#afe4d25acd31b98dee6f6b28d4d756071">armnn::LstmInputParamsInfo::GetRecurrentToOutputWeights</a></div><div class="ttdeci">const TensorInfo & GetRecurrentToOutputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00149">LstmParams.hpp:149</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a0cdc60b4988b2193b97590e35f34a07e"><div class="ttname"><a href="namespacearmnn.xhtml#a0cdc60b4988b2193b97590e35f34a07e">armnn::IsMeanSupported</a></div><div class="ttdeci">bool IsMeanSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const MeanDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00375">LayerSupport.cpp:375</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56ff60c2946bf0b7e772007acce0d7ec"><div class="ttname"><a href="namespacearmnn.xhtml#a56ff60c2946bf0b7e772007acce0d7ec">armnn::IsMultiplicationSupported</a></div><div class="ttdeci">bool IsMultiplicationSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00438">LayerSupport.cpp:438</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a02847c99a2acae3b267615479f93ab55"><div class="ttname"><a href="namespacearmnn.xhtml#a02847c99a2acae3b267615479f93ab55">armnn::supported</a></div><div class="ttdeci">ISubgraphViewConverter supported</div><div class="ttdef"><b>Definition:</b> <a href="_i_subgraph_view_converter_8hpp_source.xhtml#l00031">ISubgraphViewConverter.hpp:31</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="structarmnn_1_1_shapes_are_broadcast_compatible_xhtml"><div class="ttname"><a href="structarmnn_1_1_shapes_are_broadcast_compatible.xhtml">armnn::ShapesAreBroadcastCompatible</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00153">LayerSupportRules.hpp:153</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a8b96de58aae24091d0ad761f27360630"><div class="ttname"><a href="namespacearmnn.xhtml#a8b96de58aae24091d0ad761f27360630">armnn::IsDebugSupported</a></div><div class="ttdeci">bool IsDebugSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00190">LayerSupport.cpp:190</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_aaa152f86599af5189c9d637fe7ade6d0"><div class="ttname"><a href="namespacearmnn.xhtml#aaa152f86599af5189c9d637fe7ade6d0">armnn::IsConvertFp16ToFp32Supported</a></div><div class="ttdeci">bool IsConvertFp16ToFp32Supported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00160">LayerSupport.cpp:160</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a5a0c1871f7e4822adb8b15e8ae76bca0"><div class="ttname"><a href="namespacearmnn.xhtml#a5a0c1871f7e4822adb8b15e8ae76bca0">armnn::IsPreluSupported</a></div><div class="ttdeci">bool IsPreluSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &alpha, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00521">LayerSupport.cpp:521</a></div></div> +<div class="ttc" id="structarmnn_1_1_type_is_xhtml"><div class="ttname"><a href="structarmnn_1_1_type_is.xhtml">armnn::TypeIs</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00101">LayerSupportRules.hpp:101</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_info_xhtml_a36fa9439fda2e72234411956a1c7e64f"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#a36fa9439fda2e72234411956a1c7e64f">armnn::LstmInputParamsInfo::GetCellToInputWeights</a></div><div class="ttdeci">const TensorInfo & GetCellToInputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00153">LstmParams.hpp:153</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_aa2f4e75d4a4f61b24de0dfe150952c80"><div class="ttname"><a href="namespacearmnn.xhtml#aa2f4e75d4a4f61b24de0dfe150952c80">armnn::IsFullyConnectedSupported</a></div><div class="ttdeci">bool IsFullyConnectedSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const TensorInfo &weights, const TensorInfo &biases, const FullyConnectedDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00296">LayerSupport.cpp:296</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ac6cc8e0bd35d229486fe6d844d88e0d4"><div class="ttname"><a href="namespacearmnn.xhtml#ac6cc8e0bd35d229486fe6d844d88e0d4">armnn::IsTransposeConvolution2dSupported</a></div><div class="ttdeci">bool IsTransposeConvolution2dSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const TransposeConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div></div> +<div class="ttc" id="namespacearmnn_xhtml_a0e3cdea6143299b258a9c34b596bad4d"><div class="ttname"><a href="namespacearmnn.xhtml#a0e3cdea6143299b258a9c34b596bad4d">armnn::IsEqualSupported</a></div><div class="ttdeci">bool IsEqualSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00258">LayerSupport.cpp:258</a></div></div> +<div class="ttc" id="structarmnn_1_1_shapes_are_same_total_size_xhtml"><div class="ttname"><a href="structarmnn_1_1_shapes_are_same_total_size.xhtml">armnn::ShapesAreSameTotalSize</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00145">LayerSupportRules.hpp:145</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a399d38872500c6ac84ae031673176ef3"><div class="ttname"><a href="namespacearmnn.xhtml#a399d38872500c6ac84ae031673176ef3">armnn::IsDepthwiseConvolutionSupported</a></div><div class="ttdeci">bool IsDepthwiseConvolutionSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00199">LayerSupport.cpp:199</a></div></div> +<div class="ttc" id="_neon_end_to_end_tests_8cpp_xhtml_ada422a73ac4e68bcb1b1b1f0b44028d9"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.xhtml#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings</a></div><div class="ttdeci">std::vector< float > boxEncodings({ 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, -1.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f })</div></div> +<div class="ttc" id="namespacearmnn_xhtml_adffa596b4bdecd54ca460853cd1439e2"><div class="ttname"><a href="namespacearmnn.xhtml#adffa596b4bdecd54ca460853cd1439e2">armnn::IsGreaterSupported</a></div><div class="ttdeci">bool IsGreaterSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00318">LayerSupport.cpp:318</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a515e8a98d7ef9ecda64a2e1e5298461a"><div class="ttname"><a href="namespacearmnn.xhtml#a515e8a98d7ef9ecda64a2e1e5298461a">armnn::IsPadSupported</a></div><div class="ttdeci">bool IsPadSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const PadDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00466">LayerSupport.cpp:466</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_a754b0ac19fd6341ce2b5f480c3b35e8e"><div class="ttname"><a href="namespacearmnn.xhtml#a754b0ac19fd6341ce2b5f480c3b35e8e">armnn::IsNormalizationSupported</a></div><div class="ttdeci">bool IsNormalizationSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const NormalizationDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00448">LayerSupport.cpp:448</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_lstm_input_params_info_xhtml_a0e31db1891d11bbe0d8556c01e9812ef"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#a0e31db1891d11bbe0d8556c01e9812ef">armnn::LstmInputParamsInfo::GetCellToForgetWeights</a></div><div class="ttdeci">const TensorInfo & GetCellToForgetWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00157">LstmParams.hpp:157</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< std::is_reference< T >::value, T >::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_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_lstm_input_params_info_xhtml_ab50b4ccb0b84f6427996f76083a4107a"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#ab50b4ccb0b84f6427996f76083a4107a">armnn::LstmInputParamsInfo::GetForgetLayerNormWeights</a></div><div class="ttdeci">const TensorInfo & GetForgetLayerNormWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00193">LstmParams.hpp:193</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a1b01771dc5a057d09f8cd82492154a1f"><div class="ttname"><a href="namespacearmnn.xhtml#a1b01771dc5a057d09f8cd82492154a1f">armnn::IsAdditionSupported</a></div><div class="ttdeci">bool IsAdditionSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00079">LayerSupport.cpp:79</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_info_xhtml_a35825b1ec5bc2b14c8eac60887dbcf19"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#a35825b1ec5bc2b14c8eac60887dbcf19">armnn::LstmInputParamsInfo::GetCellToOutputWeights</a></div><div class="ttdeci">const TensorInfo & GetCellToOutputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00161">LstmParams.hpp:161</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_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="namespacearmnn_xhtml_a90a1aadb53c7537f225252afd681ff22"><div class="ttname"><a href="namespacearmnn.xhtml#a90a1aadb53c7537f225252afd681ff22">armnn::IsResizeSupported</a></div><div class="ttdeci">bool IsResizeSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const ResizeDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00541">LayerSupport.cpp:541</a></div></div> +<div class="ttc" id="_layer_support_common_8hpp_xhtml"><div class="ttname"><a href="_layer_support_common_8hpp.xhtml">LayerSupportCommon.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_bias_and_weights_types_compatible_xhtml"><div class="ttname"><a href="structarmnn_1_1_bias_and_weights_types_compatible.xhtml">armnn::BiasAndWeightsTypesCompatible</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00125">LayerSupportRules.hpp:125</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad91bc7bfe29186f5d78c28386c6c5309"><div class="ttname"><a href="namespacearmnn.xhtml#ad91bc7bfe29186f5d78c28386c6c5309">armnn::IsQuantized8BitType</a></div><div class="ttdeci">constexpr bool IsQuantized8BitType(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.xhtml#l00241">TypesUtils.hpp:241</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a89e9c52419c572f05bf9737a7a60b267"><div class="ttname"><a href="namespacearmnn.xhtml#a89e9c52419c572f05bf9737a7a60b267">armnn::IsFloorSupported</a></div><div class="ttdeci">bool IsFloorSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00282">LayerSupport.cpp:282</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a197a353aa963497d29a07796268ea5c1"><div class="ttname"><a href="namespacearmnn.xhtml#a197a353aa963497d29a07796268ea5c1">armnn::IsInputSupported</a></div><div class="ttdeci">bool IsInputSupported(const BackendId &backend, const TensorInfo &input, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00333">LayerSupport.cpp:333</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a87ac712443e46c0deb38ab0eaf637e70"><div class="ttname"><a href="namespacearmnn.xhtml#a87ac712443e46c0deb38ab0eaf637e70">armnn::IsMemCopySupported</a></div><div class="ttdeci">bool IsMemCopySupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00385">LayerSupport.cpp:385</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_info_xhtml_a3b3c26330a05bf4ea40f8a6b402be354"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#a3b3c26330a05bf4ea40f8a6b402be354">armnn::LstmInputParamsInfo::GetInputToCellWeights</a></div><div class="ttdeci">const TensorInfo & GetInputToCellWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00129">LstmParams.hpp:129</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="_ref_layer_support_8hpp_xhtml"><div class="ttname"><a href="_ref_layer_support_8hpp.xhtml">RefLayerSupport.hpp</a></div></div> +<div class="ttc" id="_types_utils_8hpp_xhtml"><div class="ttname"><a href="_types_utils_8hpp.xhtml">TypesUtils.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml">armnn::LstmInputParamsInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00063">LstmParams.hpp:63</a></div></div> +<div class="ttc" id="structarmnn_1_1_tensor_num_dimensions_are_correct_xhtml"><div class="ttname"><a href="structarmnn_1_1_tensor_num_dimensions_are_correct.xhtml">armnn::TensorNumDimensionsAreCorrect</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00180">LayerSupportRules.hpp:180</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00032">Types.hpp:32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acc76cdec78906a3457a9c2293a453869"><div class="ttname"><a href="namespacearmnn.xhtml#acc76cdec78906a3457a9c2293a453869">armnn::IsConstantSupported</a></div><div class="ttdeci">bool IsConstantSupported(const BackendId &backend, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00152">LayerSupport.cpp:152</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="_deprecated_8hpp_xhtml_ad762b11b48e5c1d1c1743f529485728a"><div class="ttname"><a href="_deprecated_8hpp.xhtml#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div><div class="ttdeci">#define ARMNN_NO_DEPRECATE_WARN_END</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.xhtml#l00034">Deprecated.hpp:34</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="namespacearmnn_xhtml_accc42ba9679a474e75b43cdf1efa9422"><div class="ttname"><a href="namespacearmnn.xhtml#accc42ba9679a474e75b43cdf1efa9422">armnn::IsRsqrtSupported</a></div><div class="ttdeci">bool IsRsqrtSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00568">LayerSupport.cpp:568</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_info_xhtml_a800adf0f61e84d706060f63037c1a336"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#a800adf0f61e84d706060f63037c1a336">armnn::LstmInputParamsInfo::GetInputToOutputWeights</a></div><div class="ttdeci">const TensorInfo & GetInputToOutputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00133">LstmParams.hpp:133</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_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="namespacearmnn_xhtml_a701cecec7714cf8bc9dca804f473610d"><div class="ttname"><a href="namespacearmnn.xhtml#a701cecec7714cf8bc9dca804f473610d">armnn::IsOutputSupported</a></div><div class="ttdeci">bool IsOutputSupported(const BackendId &backend, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00458">LayerSupport.cpp:458</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_a3e8b3af7771ffb37ede50aa2d9cc3af6"><div class="ttname"><a href="namespacearmnn.xhtml#a3e8b3af7771ffb37ede50aa2d9cc3af6">armnn::IsLstmSupported</a></div><div class="ttdeci">bool IsLstmSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &outputStateIn, const TensorInfo &cellStateIn, const TensorInfo &scratchBuffer, const TensorInfo &outputStateOut, const TensorInfo &cellStateOut, const TensorInfo &output, const LstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00352">LayerSupport.cpp:352</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="_types_8hpp_xhtml"><div class="ttname"><a href="_types_8hpp.xhtml">Types.hpp</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="namespacearmnn_xhtml_afe39427f8974f064b838df5c7f0ebebc"><div class="ttname"><a href="namespacearmnn.xhtml#afe39427f8974f064b838df5c7f0ebebc">armnn::IsFakeQuantizationSupported</a></div><div class="ttdeci">bool IsFakeQuantizationSupported(const BackendId &backend, const TensorInfo &input, const FakeQuantizationDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00273">LayerSupport.cpp:273</a></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="namespacearmnn_xhtml_aebe3dc6730e1b29aee9c9f33b8f94121"><div class="ttname"><a href="namespacearmnn.xhtml#aebe3dc6730e1b29aee9c9f33b8f94121">armnn::IsStridedSliceSupported</a></div><div class="ttdeci">bool IsStridedSliceSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const StridedSliceDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00633">LayerSupport.cpp:633</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a10e8442be2b8596afd5770e98b904caa"><div class="ttname"><a href="namespacearmnn.xhtml#a10e8442be2b8596afd5770e98b904caa">armnn::IsStackSupported</a></div><div class="ttdeci">bool IsStackSupported(const BackendId &backend, const std::vector< const TensorInfo *> inputs, const TensorInfo &output, const StackDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div></div> +<div class="ttc" id="namespacearmnn_xhtml_afbf752a51fa513e0a54e343be130d962"><div class="ttname"><a href="namespacearmnn.xhtml#afbf752a51fa513e0a54e343be130d962">armnn::IsSubtractionSupported</a></div><div class="ttdeci">bool IsSubtractionSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00643">LayerSupport.cpp:643</a></div></div> +<div class="ttc" id="structarmnn_1_1_fake_quantization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.xhtml">armnn::FakeQuantizationDescriptor</a></div><div class="ttdoc">A FakeQuantizationDescriptor for the FakeQuantizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00688">Descriptors.hpp:688</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a936d3f949a334668f839fb0bdd170b72"><div class="ttname"><a href="namespacearmnn.xhtml#a936d3f949a334668f839fb0bdd170b72">armnn::IsResizeBilinearSupported</a></div><div class="ttdeci">bool IsResizeBilinearSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00552">LayerSupport.cpp:552</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_info_xhtml_ae22fc962c59e7c24986718f5af0020db"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#ae22fc962c59e7c24986718f5af0020db">armnn::LstmInputParamsInfo::m_ProjectionBias</a></div><div class="ttdeci">const TensorInfo * m_ProjectionBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00105">LstmParams.hpp:105</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="namespacearmnn_xhtml_aa3a1bea3b3cd5611f13c06020dababc4"><div class="ttname"><a href="namespacearmnn.xhtml#aa3a1bea3b3cd5611f13c06020dababc4">armnn::IsPermuteSupported</a></div><div class="ttdeci">bool IsPermuteSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const PermuteDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00501">LayerSupport.cpp:501</a></div></div> +<div class="ttc" id="_layer_support_rules_8hpp_xhtml"><div class="ttname"><a href="_layer_support_rules_8hpp.xhtml">LayerSupportRules.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a599a95f708fa0b6a6230dc6c9e73ea3e"><div class="ttname"><a href="namespacearmnn.xhtml#a599a95f708fa0b6a6230dc6c9e73ea3e">armnn::IsQuantizeSupported</a></div><div class="ttdeci">bool IsQuantizeSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, char *reasonIfUnsupported, size_t reasonIfUnsupportedMaxLength)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00477">LayerSupport.cpp:477</a></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="namespacearmnn_xhtml_a4b3a41e24d4b9e2b4cb431dc90c48970"><div class="ttname"><a href="namespacearmnn.xhtml#a4b3a41e24d4b9e2b4cb431dc90c48970">armnn::IsSpaceToBatchNdSupported</a></div><div class="ttdeci">bool IsSpaceToBatchNdSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const SpaceToBatchNdDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00591">LayerSupport.cpp:591</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a7d18d6613bb865b66b05d4d6e0391934"><div class="ttname"><a href="namespacearmnn.xhtml#a7d18d6613bb865b66b05d4d6e0391934">armnn::IsBatchNormalizationSupported</a></div><div class="ttdeci">bool IsBatchNormalizationSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const TensorInfo &mean, const TensorInfo &var, const TensorInfo &beta, const TensorInfo &gamma, const BatchNormalizationDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00104">LayerSupport.cpp:104</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a58bfb9626d373249745d78b95543116e"><div class="ttname"><a href="namespacearmnn.xhtml#a58bfb9626d373249745d78b95543116e">armnn::IsActivationSupported</a></div><div class="ttdeci">bool IsActivationSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const ActivationDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00069">LayerSupport.cpp:69</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="namespacearmnn_xhtml_a7ce5f7168bf0d1e7efe269d59ed564ba"><div class="ttname"><a href="namespacearmnn.xhtml#a7ce5f7168bf0d1e7efe269d59ed564ba">armnn::IsSplitterSupported</a></div><div class="ttdeci">bool IsSplitterSupported(const BackendId &backend, const TensorInfo &input, const ViewsDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00612">LayerSupport.cpp:612</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_info_xhtml_a534af7e4f3a6d50a6dab05abc245133d"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#a534af7e4f3a6d50a6dab05abc245133d">armnn::LstmInputParamsInfo::GetRecurrentToForgetWeights</a></div><div class="ttdeci">const TensorInfo & GetRecurrentToForgetWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00141">LstmParams.hpp:141</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_shapes_are_same_rank_xhtml"><div class="ttname"><a href="structarmnn_1_1_shapes_are_same_rank.xhtml">armnn::ShapesAreSameRank</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00137">LayerSupportRules.hpp:137</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_info_xhtml_afa2b04197a764428a8c3a648de8058fc"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#afa2b04197a764428a8c3a648de8058fc">armnn::LstmInputParamsInfo::GetInputToInputWeights</a></div><div class="ttdeci">const TensorInfo & GetInputToInputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00121">LstmParams.hpp:121</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_info_xhtml_a045674b768295e617d7060f96f162366"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#a045674b768295e617d7060f96f162366">armnn::LstmInputParamsInfo::GetOutputLayerNormWeights</a></div><div class="ttdeci">const TensorInfo & GetOutputLayerNormWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00201">LstmParams.hpp:201</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="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_lstm_input_params_info_xhtml_ac81393ef433b0c7c337f9f0d55f41ae4"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#ac81393ef433b0c7c337f9f0d55f41ae4">armnn::LstmInputParamsInfo::GetForgetGateBias</a></div><div class="ttdeci">const TensorInfo & GetForgetGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00169">LstmParams.hpp:169</a></div></div> +<div class="ttc" id="_neon_end_to_end_tests_8cpp_xhtml_a0348e6bb67ace72535bd105219bb6237"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.xhtml#a0348e6bb67ace72535bd105219bb6237">scores</a></div><div class="ttdeci">std::vector< float > scores({ 0.0f, 0.9f, 0.8f, 0.0f, 0.75f, 0.72f, 0.0f, 0.6f, 0.5f, 0.0f, 0.93f, 0.95f, 0.0f, 0.5f, 0.4f, 0.0f, 0.3f, 0.2f })</div></div> +<div class="ttc" id="namespacearmnn_xhtml_af22d4421773ce95e0f2324fc1a66c0d9"><div class="ttname"><a href="namespacearmnn.xhtml#af22d4421773ce95e0f2324fc1a66c0d9">armnn::IsConvolution2dSupported</a></div><div class="ttdeci">bool IsConvolution2dSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00178">LayerSupport.cpp:178</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="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="namespacearmnn_xhtml_a6e2c7ec2b8d47bde2bc9fa04bb2091f6"><div class="ttname"><a href="namespacearmnn.xhtml#a6e2c7ec2b8d47bde2bc9fa04bb2091f6">armnn::IsMergerSupported</a></div><div class="ttdeci">bool IsMergerSupported(const BackendId &backend, const std::vector< const TensorInfo *> inputs, const TensorInfo &output, const OriginsDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div></div> +<div class="ttc" id="namespacearmnn_xhtml_a3b85a270baf98ea6b040bd395c2d700a"><div class="ttname"><a href="namespacearmnn.xhtml#a3b85a270baf98ea6b040bd395c2d700a">armnn::IsMaximumSupported</a></div><div class="ttdeci">bool IsMaximumSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnSupported=nullptr, size_t reasonIfUnSupportedMaxLength=0)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00365">LayerSupport.cpp:365</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="namespaceboost_xhtml"><div class="ttname"><a href="namespaceboost.xhtml">boost</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_info_xhtml_ae1d5a487fcd13852927c8a2b9f9dfeb6"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#ae1d5a487fcd13852927c8a2b9f9dfeb6">armnn::LstmInputParamsInfo::GetInputGateBias</a></div><div class="ttdeci">const TensorInfo & GetInputGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00165">LstmParams.hpp:165</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_lstm_input_params_info_xhtml_a18038725f71bb5c5bd03c02cc164f879"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#a18038725f71bb5c5bd03c02cc164f879">armnn::LstmInputParamsInfo::GetProjectionWeights</a></div><div class="ttdeci">const TensorInfo & GetProjectionWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00181">LstmParams.hpp:181</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="structarmnn_1_1_lstm_input_params_info_xhtml_a7dac08f19a1b235d5256d39136848a09"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#a7dac08f19a1b235d5256d39136848a09">armnn::LstmInputParamsInfo::GetInputToForgetWeights</a></div><div class="ttdeci">const TensorInfo & GetInputToForgetWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00125">LstmParams.hpp:125</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_info_xhtml_a3d2f638ba83ae5dad0094c006220c232"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#a3d2f638ba83ae5dad0094c006220c232">armnn::LstmInputParamsInfo::GetInputLayerNormWeights</a></div><div class="ttdeci">const TensorInfo & GetInputLayerNormWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00189">LstmParams.hpp:189</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a658eea4e746b1e664796c48d7eaf19f0"><div class="ttname"><a href="namespacearmnn.xhtml#a658eea4e746b1e664796c48d7eaf19f0">armnn::IsGatherSupported</a></div><div class="ttdeci">bool IsGatherSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnsupported, size_t reasonIfUnsupportedMaxLength)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00308">LayerSupport.cpp:308</a></div></div> +<div class="ttc" id="structarmnn_1_1_types_are_equal_xhtml"><div class="ttname"><a href="structarmnn_1_1_types_are_equal.xhtml">armnn::TypesAreEqual</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00071">LayerSupportRules.hpp:71</a></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="namespacearmnn_xhtml_addffaddb4bdb6ec506fe08debcce9b75"><div class="ttname"><a href="namespacearmnn.xhtml#addffaddb4bdb6ec506fe08debcce9b75">armnn::IsSpaceToDepthSupported</a></div><div class="ttdeci">bool IsSpaceToDepthSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const SpaceToDepthDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00601">LayerSupport.cpp:601</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_lstm_input_params_info_xhtml_ae0da94ba17ce67b95b5b9d6e5adc4271"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#ae0da94ba17ce67b95b5b9d6e5adc4271">armnn::LstmInputParamsInfo::GetOutputGateBias</a></div><div class="ttdeci">const TensorInfo & GetOutputGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00177">LstmParams.hpp:177</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_lstm_input_params_info_xhtml_a9f2cce936b4df49c487eaca513bf55ca"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml#a9f2cce936b4df49c487eaca513bf55ca">armnn::LstmInputParamsInfo::GetProjectionBias</a></div><div class="ttdeci">const TensorInfo & GetProjectionBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00185">LstmParams.hpp:185</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00092">Tensor.hpp:92</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_af6dbe371ec651a8e0063624fdf32afc0"><div class="ttname"><a href="namespacearmnn.xhtml#af6dbe371ec651a8e0063624fdf32afc0">armnn::IsSupportedForDataTypeGeneric</a></div><div class="ttdeci">bool IsSupportedForDataTypeGeneric(Optional< std::string &> reasonIfUnsupported, DataType dataType, Float16Func float16FuncPtr, Float32Func float32FuncPtr, Uint8Func uint8FuncPtr, Int32Func int32FuncPtr, BooleanFunc booleanFuncPtr, Params &&... params)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_common_8hpp_source.xhtml#l00027">LayerSupportCommon.hpp:27</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="classarmnn_1_1_i_subgraph_view_converter_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_subgraph_view_converter.xhtml">armnn::ISubgraphViewConverter</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_subgraph_view_converter_8hpp_source.xhtml#l00020">ISubgraphViewConverter.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_acea2d8c53b441e24b6d60b090fda37c9"><div class="ttname"><a href="namespacearmnn.xhtml#acea2d8c53b441e24b6d60b090fda37c9">armnn::CheckSupportRule</a></div><div class="ttdeci">bool CheckSupportRule(F rule, Optional< std::string &> reasonIfUnsupported, const char *reason)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_rules_8hpp_source.xhtml#l00037">LayerSupportRules.hpp:37</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ab99d3d944b80f47bd1be70f63cc60abb"><div class="ttname"><a href="namespacearmnn.xhtml#ab99d3d944b80f47bd1be70f63cc60abb">armnn::IsMinimumSupported</a></div><div class="ttdeci">bool IsMinimumSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_support_8cpp_source.xhtml#l00428">LayerSupport.cpp:428</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="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="namespacearmnn_xhtml_aa9da770c93f812b264861f98cfdd650c"><div class="ttname"><a href="namespacearmnn.xhtml#aa9da770c93f812b264861f98cfdd650c">armnn::IsDetectionPostProcessSupported</a></div><div class="ttdeci">bool IsDetectionPostProcessSupported(const BackendId &backend, const TensorInfo &input0, const TensorInfo &input1, const DetectionPostProcessDescriptor &descriptor, char *reasonIfUnsupported, size_t reasonIfUnsupportedMaxLength)</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_af5014cbc003abcf201d4372b0012734c"><div class="ttname"><a href="namespacearmnn.xhtml#af5014cbc003abcf201d4372b0012734c">armnn::IsReshapeSupported</a></div><div class="ttdeci">bool IsReshapeSupported(const BackendId &backend, const TensorInfo &input, const ReshapeDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces. </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_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_efae4012d0e357ebeaba7d02491d70e5.xhtml">reference</a></li><li class="navelem"><a class="el" href="_ref_layer_support_8cpp.xhtml">RefLayerSupport.cpp</a></li> + <li class="footer">Generated on Fri Mar 13 2020 16:09:12 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> |