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author | Nikhil Raj <nikhil.raj@arm.com> | 2022-05-24 11:32:07 +0100 |
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committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-05-24 11:32:07 +0100 |
commit | 549b9600a6eaf0727fa084465a75f173edf8f381 (patch) | |
tree | 9c9b054417504444fff067b74eaa1811b74e6d06 /22.05/_is_layer_supported_test_impl_8hpp_source.xhtml | |
parent | f4019872c1134c6fcc1d6993e5746f55c1e79208 (diff) | |
download | armnn-549b9600a6eaf0727fa084465a75f173edf8f381.tar.gz |
Update 22.05 Doxygen Docs after updates to main Readme
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I56711772406a41ff81fa136a5fb6c59c9b9cf504
Diffstat (limited to '22.05/_is_layer_supported_test_impl_8hpp_source.xhtml')
-rw-r--r-- | 22.05/_is_layer_supported_test_impl_8hpp_source.xhtml | 217 |
1 files changed, 217 insertions, 0 deletions
diff --git a/22.05/_is_layer_supported_test_impl_8hpp_source.xhtml b/22.05/_is_layer_supported_test_impl_8hpp_source.xhtml new file mode 100644 index 0000000000..a10dc590f8 --- /dev/null +++ b/22.05/_is_layer_supported_test_impl_8hpp_source.xhtml @@ -0,0 +1,217 @@ +<!-- 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/backendsCommon/test/IsLayerSupportedTestImpl.hpp Source File</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">22.05</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(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('_is_layer_supported_test_impl_8hpp_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">IsLayerSupportedTestImpl.hpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_is_layer_supported_test_impl_8hpp.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 and Contributors. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> </div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include <<a class="code" href="_graph_8hpp.xhtml">Graph.hpp</a>></span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_map_workload_8hpp.xhtml">backendsCommon/MapWorkload.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_unmap_workload_8hpp.xhtml">backendsCommon/UnmapWorkload.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="include_2armnn_2backends_2_workload_factory_8hpp.xhtml">armnn/backends/WorkloadFactory.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="_ignore_unused_8hpp.xhtml">armnn/utility/IgnoreUnused.hpp</a>></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <doctest/doctest.h></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> {</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <a class="code" href="classarmnn_1_1_graph.xhtml">armnn::Graph</a> dummyGraph;</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="comment">// Make a dummy TensorInfo object.</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="keyword">template</span><armnn::DataType DataType></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> MakeDummyTensorInfo()</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>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>({2,2,2,2}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>, 1.0, 0);</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</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="comment">// Make a dummy WorkloadInfo using a dummy TensorInfo.</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">template</span><armnn::DataType DataType></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> MakeDummyWorkloadInfo(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputs, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputs)</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i < numInputs; i++)</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  {</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.push_back(MakeDummyTensorInfo<DataType>());</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  }</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> o=0; o < numOutputs; o++)</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.push_back(MakeDummyTensorInfo<DataType>());</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  }</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>  <span class="keywordflow">return</span> info;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</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="comment">// Template class to create a dummy layer (2 parameters).</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword">template</span><<span class="keyword">typename</span> LayerType, <span class="keyword">typename</span> DescType = <span class="keyword">typename</span> LayerType::DescriptorType></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="keyword">struct </span>DummyLayer</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> {</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  DummyLayer()</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  {</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>>(DescType(), <span class="stringliteral">""</span>);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  }</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  ~DummyLayer()</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>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>);</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>  <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>* <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> };</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="comment">// Template class to create a dummy layer (1 parameter).</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="keyword">template</span><<span class="keyword">typename</span> LayerType></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="keyword">struct </span>DummyLayer<<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>, void></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> {</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  DummyLayer()</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>>(<span class="stringliteral">""</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"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  ~DummyLayer()</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  {</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  }</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>* <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> };</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="keyword">template</span><></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="keyword">struct </span>DummyLayer<<a class="code" href="namespacearmnn.xhtml">armnn</a>::BatchNormalizationLayer></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> {</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  DummyLayer()</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  {</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml">armnn::BatchNormalizationLayer</a>>(<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">armnn::BatchNormalizationDescriptor</a>(), <span class="stringliteral">""</span>);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_Mean = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_Variance = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_Beta = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_Gamma = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  }</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  ~DummyLayer()</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  {</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>);</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>  <a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml">armnn::BatchNormalizationLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</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> </div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="keyword">template</span><></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="keyword">struct </span>DummyLayer<<a class="code" href="namespacearmnn.xhtml">armnn</a>::BatchToSpaceNdLayer></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>  DummyLayer()</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  {</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_batch_to_space_nd_layer.xhtml">armnn::BatchToSpaceNdLayer</a>>(<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">armnn::BatchToSpaceNdDescriptor</a>(), <span class="stringliteral">""</span>);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  }</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  ~DummyLayer()</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  {</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  }</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="classarmnn_1_1_batch_to_space_nd_layer.xhtml">armnn::BatchToSpaceNdLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> };</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="keyword">template</span><></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="keyword">struct </span>DummyLayer<<a class="code" href="namespacearmnn.xhtml">armnn</a>::ConstantLayer, void></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>  DummyLayer()</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>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_constant_layer.xhtml">armnn::ConstantLayer</a>>(<span class="stringliteral">""</span>);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  }</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  ~DummyLayer()</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>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>);</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> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <a class="code" href="classarmnn_1_1_constant_layer.xhtml">armnn::ConstantLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>;</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> };</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> <span class="keyword">template</span><></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> <span class="keyword">struct </span>DummyLayer<<a class="code" href="namespacearmnn.xhtml">armnn</a>::InputLayer, <a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a>></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> {</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  DummyLayer()</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_input_layer.xhtml">armnn::InputLayer</a>>(<a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a>(), <span class="stringliteral">""</span>);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  }</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  ~DummyLayer()</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>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  }</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="classarmnn_1_1_input_layer.xhtml">armnn::InputLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> };</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> <span class="keyword">template</span><></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> <span class="keyword">struct </span>DummyLayer<<a class="code" href="namespacearmnn.xhtml">armnn</a>::ConcatLayer></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>  DummyLayer()</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  {</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">armnn::OriginsDescriptor</a> desc(2);</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_concat_layer.xhtml">armnn::ConcatLayer</a>>(desc, <span class="stringliteral">""</span>);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  }</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  ~DummyLayer()</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  {</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  }</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <a class="code" href="classarmnn_1_1_concat_layer.xhtml">armnn::ConcatLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> };</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="keyword">template</span><></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="keyword">struct </span>DummyLayer<<a class="code" href="namespacearmnn.xhtml">armnn</a>::MapLayer, void></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> {</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  DummyLayer()</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  {</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_map_layer.xhtml">armnn::MapLayer</a>>(<span class="stringliteral">""</span>);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  }</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  ~DummyLayer()</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  {</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  }</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="classarmnn_1_1_map_layer.xhtml">armnn::MapLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>;</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> </div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="keyword">template</span><></div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> <span class="keyword">struct </span>DummyLayer<<a class="code" href="namespacearmnn.xhtml">armnn</a>::OutputLayer, <a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a>></div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> {</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  DummyLayer()</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>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_output_layer.xhtml">armnn::OutputLayer</a>>(<a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a>(), <span class="stringliteral">""</span>);</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</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>  ~DummyLayer()</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  {</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>);</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</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>  <a class="code" href="classarmnn_1_1_output_layer.xhtml">armnn::OutputLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</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"> 203</span> <span class="keyword">template</span><></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="keyword">struct </span>DummyLayer<<a class="code" href="namespacearmnn.xhtml">armnn</a>::SplitterLayer></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> {</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  DummyLayer()</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  {</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">armnn::ViewsDescriptor</a> desc(1);</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_splitter_layer.xhtml">armnn::SplitterLayer</a>>(desc, <span class="stringliteral">""</span>);</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  }</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> </div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  ~DummyLayer()</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>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>);</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> </div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <a class="code" href="classarmnn_1_1_splitter_layer.xhtml">armnn::SplitterLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> };</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> <span class="keyword">template</span><></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> <span class="keyword">struct </span>DummyLayer<<a class="code" href="namespacearmnn.xhtml">armnn</a>::UnmapLayer, void></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>  DummyLayer()</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>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_unmap_layer.xhtml">armnn::UnmapLayer</a>>(<span class="stringliteral">""</span>);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</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>  ~DummyLayer()</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  {</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>);</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  }</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <a class="code" href="classarmnn_1_1_unmap_layer.xhtml">armnn::UnmapLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>;</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> };</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> <span class="keyword">template</span> <<span class="keyword">typename</span> ConvolutionLayerType></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> <span class="keyword">struct </span>DummyConvolutionLayer</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> {</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  DummyConvolutionLayer()</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  {</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keyword">typename</span> ConvolutionLayerType::DescriptorType desc;</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  desc.m_StrideX = 1;</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  desc.m_StrideY = 1;</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><ConvolutionLayerType>(desc, <span class="stringliteral">""</span>);</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_Weight = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_Bias = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  }</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> </div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  ~DummyConvolutionLayer()</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  {</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>);</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  }</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>  ConvolutionLayerType* <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>;</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> </div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> <span class="keyword">template</span><></div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> <span class="keyword">struct </span>DummyLayer<<a class="code" href="namespacearmnn.xhtml">armnn</a>::Convolution2dLayer></div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  : <span class="keyword">public</span> DummyConvolutionLayer<armnn::Convolution2dLayer></div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> {</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> };</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> <span class="keyword">template</span><></div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> <span class="keyword">struct </span>DummyLayer<armnn::DepthwiseConvolution2dLayer></div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  : <span class="keyword">public</span> DummyConvolutionLayer<armnn::DepthwiseConvolution2dLayer></div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> {</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> };</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> <span class="keyword">template</span><></div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> <span class="keyword">struct </span>DummyLayer<armnn::TransposeConvolution2dLayer></div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  : <span class="keyword">public</span> DummyConvolutionLayer<armnn::TransposeConvolution2dLayer></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> };</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> </div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> <span class="keyword">template</span><></div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> <span class="keyword">struct </span>DummyLayer<armnn::DetectionPostProcessLayer></div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> {</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  DummyLayer()</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  {</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml">armnn::DetectionPostProcessLayer</a>>(<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml">armnn::DetectionPostProcessDescriptor</a>(), <span class="stringliteral">""</span>);</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_Anchors = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  }</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  ~DummyLayer()</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  {</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>);</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  }</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> </div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml">armnn::DetectionPostProcessLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>;</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> };</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="keyword">template</span> <<span class="keyword">typename</span> LstmLayerType></div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> <span class="keyword">struct </span>DummyLstmLayer</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span> {</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  DummyLstmLayer()</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  {</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="keyword">typename</span> LstmLayerType::DescriptorType desc;</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  desc.m_CifgEnabled = <span class="keyword">false</span>;</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> </div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><LstmLayerType>(desc, <span class="stringliteral">""</span>);</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_InputToForgetWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_InputToCellWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_InputToOutputWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_RecurrentToForgetWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_RecurrentToCellWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_RecurrentToOutputWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_ForgetGateBias = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_CellBias = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_OutputGateBias = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span> </div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_CifgParameters.m_InputToInputWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_CifgParameters.m_RecurrentToInputWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_CifgParameters.m_InputGateBias = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  }</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span> </div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  ~DummyLstmLayer()</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  {</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>);</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> </div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <a class="code" href="classarmnn_1_1_lstm_layer.xhtml">armnn::LstmLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>;</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> </div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span> <span class="keyword">template</span><></div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> <span class="keyword">struct </span>DummyLayer<armnn::LstmLayer></div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  : <span class="keyword">public</span> DummyLstmLayer<armnn::LstmLayer></div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span> {</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span> };</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> <span class="keyword">template</span> <<span class="keyword">typename</span> Un<span class="keywordtype">id</span>irectionalSequenceLstmLayerType></div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> <span class="keyword">struct </span>DummyUnidirectionalSequenceLstmLayer</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span> {</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  DummyUnidirectionalSequenceLstmLayer()</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>  <span class="keyword">typename</span> UnidirectionalSequenceLstmLayerType::DescriptorType desc;</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  desc.m_CifgEnabled = <span class="keyword">false</span>;</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> </div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><UnidirectionalSequenceLstmLayerType>(desc, <span class="stringliteral">""</span>);</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_InputToForgetWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_InputToCellWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_InputToOutputWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_RecurrentToForgetWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_RecurrentToCellWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_RecurrentToOutputWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_ForgetGateBias = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_CellBias = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_OutputGateBias = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> </div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_CifgParameters.m_InputToInputWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_CifgParameters.m_RecurrentToInputWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_CifgParameters.m_InputGateBias = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  }</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span> </div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  ~DummyUnidirectionalSequenceLstmLayer()</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  {</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>);</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  }</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span> </div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.xhtml">armnn::UnidirectionalSequenceLstmLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>;</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span> };</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span> </div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> <span class="keyword">template</span><></div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span> <span class="keyword">struct </span>DummyLayer<armnn::UnidirectionalSequenceLstmLayer></div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  : <span class="keyword">public</span> DummyUnidirectionalSequenceLstmLayer<armnn::UnidirectionalSequenceLstmLayer></div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span> {</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span> };</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span> </div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span> <span class="keyword">template</span><></div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> <span class="keyword">struct </span>DummyLayer<armnn::QLstmLayer></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>  DummyLayer()</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  {</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml">armnn::QLstmLayer::DescriptorType</a> desc;</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  desc.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a> = <span class="keyword">false</span>;</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  desc.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  desc.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  desc.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a> = <span class="keyword">true</span>;</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span> </div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_q_lstm_layer.xhtml">armnn::QLstmLayer</a>>(desc, <span class="stringliteral">"qLstm"</span>);</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span> </div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="comment">// Basic params</span></div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_InputToForgetWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a>));</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_InputToCellWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a>));</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_InputToOutputWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a>));</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span> </div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_RecurrentToForgetWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a>));</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_RecurrentToCellWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a>));</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_RecurrentToOutputWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a>));</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span> </div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_ForgetGateBias = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>));</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_CellBias = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>));</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_BasicParameters.m_OutputGateBias = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>));</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span> </div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="comment">// CIFG optional params</span></div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_CifgParameters.m_InputToInputWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a>));</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_CifgParameters.m_RecurrentToInputWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a>));</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_CifgParameters.m_InputGateBias = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>));</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span> </div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="comment">// Projection optional params</span></div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_ProjectionParameters.m_ProjectionWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a>));</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_ProjectionParameters.m_ProjectionBias = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>));</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span> </div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="comment">// Peephole optional params</span></div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_PeepholeParameters.m_CellToInputWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>));</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_PeepholeParameters.m_CellToForgetWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>));</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_PeepholeParameters.m_CellToOutputWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>));</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span> </div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="comment">// Layer normalization optional params</span></div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_LayerNormParameters.m_InputLayerNormWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>));</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_LayerNormParameters.m_ForgetLayerNormWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>));</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_LayerNormParameters.m_CellLayerNormWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>));</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_LayerNormParameters.m_OutputLayerNormWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</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> </div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  ~DummyLayer()</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>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>);</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> </div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <a class="code" href="classarmnn_1_1_q_lstm_layer.xhtml">armnn::QLstmLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>;</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span> };</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span> </div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span> <span class="keyword">template</span><></div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span> <span class="keyword">struct </span>DummyLayer<armnn::QuantizedLstmLayer, void></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>  DummyLayer()</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>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml">armnn::QuantizedLstmLayer</a>>(<span class="stringliteral">""</span>);</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>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_QuantizedLstmParameters.m_InputToInputWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>));</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_QuantizedLstmParameters.m_InputToForgetWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>));</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_QuantizedLstmParameters.m_InputToCellWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>));</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_QuantizedLstmParameters.m_InputToOutputWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>));</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="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_QuantizedLstmParameters.m_RecurrentToInputWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>));</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_QuantizedLstmParameters.m_RecurrentToForgetWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>));</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_QuantizedLstmParameters.m_RecurrentToCellWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>));</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_QuantizedLstmParameters.m_RecurrentToOutputWeights = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>));</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span> </div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_QuantizedLstmParameters.m_InputGateBias = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>));</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_QuantizedLstmParameters.m_ForgetGateBias = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>));</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_QuantizedLstmParameters.m_CellBias = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>));</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_QuantizedLstmParameters.m_OutputGateBias = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>));</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  }</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span> </div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  ~DummyLayer()</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  {</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>);</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> </div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml">armnn::QuantizedLstmLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>;</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> </div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span> <span class="keyword">template</span><></div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span> <span class="keyword">struct </span>DummyLayer<armnn::FullyConnectedLayer></div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span> {</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  DummyLayer()</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>  <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml">armnn::FullyConnectedLayer::DescriptorType</a> desc;</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_fully_connected_layer.xhtml">armnn::FullyConnectedLayer</a>>(desc, <span class="stringliteral">""</span>);</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>->m_Weight = std::make_unique<armnn::ScopedTensorHandle>(</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  }</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span> </div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  ~DummyLayer()</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  {</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>);</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</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>  <a class="code" href="classarmnn_1_1_fully_connected_layer.xhtml">armnn::FullyConnectedLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a>;</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> </div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span> <span class="comment">// Tag for giving LayerType entries a unique strong type each.</span></div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span> <span class="keyword">template</span><armnn::LayerType></div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span> <span class="keyword">struct </span>Tag{};</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span> </div><div class="line"><a name="l00537"></a><span class="lineno"><a class="line" href="_is_layer_supported_test_impl_8hpp.xhtml#a22fc459f237f3214c9e5efbada894a28"> 537</a></span> <span class="preprocessor">#define DECLARE_LAYER_POLICY_CUSTOM_PARAM(name, descType) \</span></div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span> <span class="preprocessor">template<armnn::DataType DataType> \</span></div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span> <span class="preprocessor">struct LayerTypePolicy<armnn::LayerType::name, DataType> \</span></div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span> <span class="preprocessor">{ \</span></div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span> <span class="preprocessor"> using Type = armnn::name##Layer; \</span></div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span> <span class="preprocessor"> using Desc = descType; \</span></div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span> <span class="preprocessor"> using QueueDesc = armnn::name##QueueDescriptor; \</span></div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span> <span class="preprocessor"> constexpr static const char* NameStr = #name; \</span></div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span> <span class="preprocessor"> constexpr static const bool IsException = false; \</span></div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span> <span class="preprocessor"> \</span></div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span> <span class="preprocessor"> static std::unique_ptr<armnn::IWorkload> MakeDummyWorkload(armnn::IWorkloadFactory *factory, \</span></div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span> <span class="preprocessor"> unsigned int nIn, unsigned int nOut) \</span></div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span> <span class="preprocessor"> { \</span></div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span> <span class="preprocessor"> QueueDesc desc; \</span></div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span> <span class="preprocessor"> armnn::WorkloadInfo info = MakeDummyWorkloadInfo<DataType>(nIn, nOut); \</span></div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span> <span class="preprocessor"> return factory->CreateWorkload(armnn::LayerType::name, desc, info); \</span></div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span> <span class="preprocessor"> } \</span></div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span> <span class="preprocessor">};</span></div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span> </div><div class="line"><a name="l00556"></a><span class="lineno"><a class="line" href="_is_layer_supported_test_impl_8hpp.xhtml#a50f261c1d954aee96c5e283bec9b3736"> 556</a></span> <span class="preprocessor">#define DECLARE_LAYER_POLICY_MAP_PARAM(name, descType) \</span></div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span> <span class="preprocessor">template<armnn::DataType DataType> \</span></div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span> <span class="preprocessor">struct LayerTypePolicy<armnn::LayerType::name, DataType> \</span></div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span> <span class="preprocessor">{ \</span></div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span> <span class="preprocessor"> using Type = armnn::name##Layer; \</span></div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span> <span class="preprocessor"> using Desc = descType; \</span></div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span> <span class="preprocessor"> using QueueDesc = armnn::name##QueueDescriptor; \</span></div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span> <span class="preprocessor"> using Workload = armnn::name##Workload; \</span></div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span> <span class="preprocessor"> constexpr static const char* NameStr = #name; \</span></div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span> <span class="preprocessor"> constexpr static const bool IsException = false; \</span></div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span> <span class="preprocessor"> \</span></div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span> <span class="preprocessor"> static std::unique_ptr<armnn::IWorkload> MakeDummyWorkload(armnn::IWorkloadFactory* factory, \</span></div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span> <span class="preprocessor"> unsigned int nIn, unsigned int nOut) \</span></div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span> <span class="preprocessor"> { \</span></div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span> <span class="preprocessor"> IgnoreUnused(factory); \</span></div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span> <span class="preprocessor"> QueueDesc desc; \</span></div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span> <span class="preprocessor"> armnn::WorkloadInfo info = MakeDummyWorkloadInfo<DataType>(nIn, nOut); \</span></div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span> <span class="preprocessor"> return std::make_unique<armnn::name##Workload>(desc, info); \</span></div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span> <span class="preprocessor"> } \</span></div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span> <span class="preprocessor">};</span></div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span> </div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span> <span class="comment">// Define a layer policy specialization for use with the IsLayerSupported tests.</span></div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span> <span class="comment">// Use this version for layers whose constructor takes 1 parameter(name).</span></div><div class="line"><a name="l00579"></a><span class="lineno"><a class="line" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a"> 579</a></span> <span class="preprocessor">#define DECLARE_LAYER_POLICY_1_PARAM(name) DECLARE_LAYER_POLICY_CUSTOM_PARAM(name, void)</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> <span class="comment">// Define a layer policy specialization for use with the IsLayerSupported tests.</span></div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span> <span class="comment">// Use this version for layers whose constructor takes 2 parameters(descriptor and name).</span></div><div class="line"><a name="l00583"></a><span class="lineno"><a class="line" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d"> 583</a></span> <span class="preprocessor">#define DECLARE_LAYER_POLICY_2_PARAM(name) DECLARE_LAYER_POLICY_CUSTOM_PARAM(name, armnn::name##Descriptor)</span></div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span> </div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span> </div><div class="line"><a name="l00586"></a><span class="lineno"><a class="line" href="_is_layer_supported_test_impl_8hpp.xhtml#a09b96516eb25d6389075296cbb95b3b9"> 586</a></span> <span class="preprocessor">#define DECLARE_LAYER_POLICY_EXCEPTION(name, descType) \</span></div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span> <span class="preprocessor">template<armnn::DataType DataType> \</span></div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span> <span class="preprocessor">struct LayerTypePolicy<armnn::LayerType::name, DataType> \</span></div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span> <span class="preprocessor">{ \</span></div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span> <span class="preprocessor"> using Type = armnn::name##Layer; \</span></div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span> <span class="preprocessor"> using Desc = descType; \</span></div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span> <span class="preprocessor"> constexpr static const char* NameStr = #name; \</span></div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span> <span class="preprocessor"> constexpr static const bool IsException = true; \</span></div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span> <span class="preprocessor"> \</span></div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span> <span class="preprocessor"> static std::unique_ptr<armnn::IWorkload> MakeDummyWorkload(armnn::IWorkloadFactory *factory, \</span></div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span> <span class="preprocessor"> unsigned int nIn, unsigned int nOut) \</span></div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span> <span class="preprocessor"> { \</span></div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span> <span class="preprocessor"> IgnoreUnused(factory, nIn, nOut); \</span></div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span> <span class="preprocessor"> return std::unique_ptr<armnn::IWorkload>(); \</span></div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span> <span class="preprocessor"> } \</span></div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span> <span class="preprocessor">};</span></div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span> </div><div class="line"><a name="l00603"></a><span class="lineno"><a class="line" href="_is_layer_supported_test_impl_8hpp.xhtml#a611ebd58835be1bc1460c44ccccbc4c8"> 603</a></span> <span class="preprocessor">#define DECLARE_LAYER_POLICY_EXCEPTION_1_PARAM(name) DECLARE_LAYER_POLICY_EXCEPTION(name, void)</span></div><div class="line"><a name="l00604"></a><span class="lineno"><a class="line" href="_is_layer_supported_test_impl_8hpp.xhtml#a26c3597a39bf385163bc2cc79d2de4a7"> 604</a></span> <span class="preprocessor">#define DECLARE_LAYER_POLICY_EXCEPTION_2_PARAM(name) DECLARE_LAYER_POLICY_EXCEPTION(name, armnn::name##Descriptor)</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="comment">// Layer policy template.</span></div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span> <span class="keyword">template</span><armnn::LayerType Type, armnn::DataType DataType></div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span> <span class="keyword">struct </span>LayerTypePolicy;</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span> </div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span> <span class="comment">// Every entry in the armnn::LayerType enum must be accounted for below.</span></div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#a7636fbbc4f8ea2d0cf9f3ac2d12a4c62">Activation</a>)</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span> </div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Addition)</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> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#ad441be836a142e8935e0413f4a22c9ec">ArgMinMax</a>)</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span> </div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(BatchNormalization)</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span> </div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#a8746512fab5ec10c2c57800c66311ba7">BatchToSpaceNd</a>)</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span> </div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Cast)</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> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(ChannelShuffle)</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span> </div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(Comparison)</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span> </div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(Concat)</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span> </div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Constant)</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span> </div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(ConvertBf16ToFp32)</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span> </div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(ConvertFp16ToFp32)</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span> </div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(ConvertFp32ToBf16)</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> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(ConvertFp32ToFp16)</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span> </div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(Convolution2d)</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span> </div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(Convolution3d)</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> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(MemCopy)</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span> </div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(MemImport)</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span> </div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#a5aae369ef847a00062925cea8e9be9c4">Debug</a>)</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span> </div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#ab023d9a7687e35c0f108458a094c1f56">DepthToSpace</a>)</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> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(DepthwiseConvolution2d)</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span> </div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#a855293b1be0581fb61ef6a1c5b027d0f">Dequantize</a>)</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> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#ae76ce23fa9fc18e56448d52b37dd3f32">DetectionPostProcess</a>)</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span> </div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(ElementwiseUnary)</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> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#ab3c0b7e1a78b1b98c24934221f36a7c3">FakeQuantization</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> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#a88bebdfe6309aa2cd6831cfa73c296f0">Fill</a>)</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span> </div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Floor)</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span> </div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#a435f9350a94adfbb0d5b9abb5f430914">FullyConnected</a>)</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span> </div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#a38c9c1724b660b2558a19895b681a8fb">Gather</a>)</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span> </div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(GatherNd)</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span> </div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a22fc459f237f3214c9e5efbada894a28">DECLARE_LAYER_POLICY_CUSTOM_PARAM</a>(Input, <a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a>)</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span> </div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(InstanceNormalization)</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span> </div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(L2Normalization)</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span> </div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(LogicalBinary)</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span> </div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#ac52e04c0e349e25bcdaa72c27395ef8f">LogSoftmax</a>)</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span> </div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(Lstm)</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> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a50f261c1d954aee96c5e283bec9b3736">DECLARE_LAYER_POLICY_MAP_PARAM</a>(Map, <span class="keywordtype">void</span>)</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span> </div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Maximum)</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> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(Mean)</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span> </div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Merge)</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span> </div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Minimum)</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span> </div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Multiplication)</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span> </div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(Normalization)</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span> </div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a22fc459f237f3214c9e5efbada894a28">DECLARE_LAYER_POLICY_CUSTOM_PARAM</a>(Output, <a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a>)</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span> </div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#a3c62b52d21e28088f040a4b6c2a06022">Pad</a>)</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span> </div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#ad773a034fb9983e15f3094b4c5c7c30c">Quantize</a>)</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span> </div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn_utils.xhtml#af3c74017185773dd61d8ca6662d65d43">Permute</a>)</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span> </div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#ae2e93e304cf516841c521e3eaee025cd">Pooling2d</a>)</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span> </div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#a69acbef24cd1cc572b93fc3e1e6ac030">Pooling3d</a>)</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span> </div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(PreCompiled)</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span> </div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Prelu)</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span> </div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(QLstm)</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span> </div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(QuantizedLstm)</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> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Division)</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span> </div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Rank)</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> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#a6894316aa645fd5e837739135bef04bb">Resize</a>)</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span> </div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(Reshape)</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span> </div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Shape)</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> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#a044ea0cc993d4d1fbe4ec877b17b8d39">Slice</a>)</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span> </div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#aa999ff2585ad75b95954a9323f63c32b">Softmax</a>)</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span> </div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#a4a180e425d4c19b2cdea4ce5760180e1">SpaceToBatchNd</a>)</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span> </div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#a5e1dc69443b64ad16b669388a6023f7a">SpaceToDepth</a>)</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span> </div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#ac90715a0439d1e77922996a27ef3a534">Splitter</a>)</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span> </div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#ac245fda400649db10eed0dc96c1b5c37">Stack</a>)</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span> </div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a26c3597a39bf385163bc2cc79d2de4a7">DECLARE_LAYER_POLICY_EXCEPTION_2_PARAM</a>(StandIn)</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span> </div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#a86d7a7168ac00b75b4971f9aad623698">StridedSlice</a>)</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span> </div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Subtraction)</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span> </div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.xhtml#ad64b7a275169ba1b1ba2d15679f7e8b1">Reduce</a>)</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span> </div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Switch)</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span> </div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn_utils.xhtml#a405d5f966ec992d1717711e5a2d7909d">Transpose</a>)</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span> </div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(TransposeConvolution2d)</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span> </div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(UnidirectionalSequenceLstm)</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> <a class="code" href="_is_layer_supported_test_impl_8hpp.xhtml#a50f261c1d954aee96c5e283bec9b3736">DECLARE_LAYER_POLICY_MAP_PARAM</a>(Unmap, <span class="keywordtype">void</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> </div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span> <span class="comment">// Generic implementation to get the number of input slots for a given layer type;</span></div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span> <span class="keyword">template</span><armnn::LayerType Type></div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearmnn.xhtml#aed508ea8d7b3ef4e171cb6f178acf086">GetNumInputs</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>& layer)</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span> {</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  <span class="keywordflow">return</span> layer.<a class="code" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>();</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span> }</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span> </div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span> <span class="comment">// Generic implementation to get the number of output slots for a given layer type;</span></div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span> <span class="keyword">template</span><armnn::LayerType Type></div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> GetNumOutputs(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>& layer)</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span> {</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  <span class="keywordflow">return</span> layer.<a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>();</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span> }</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> <span class="keyword">template</span><></div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> GetNumInputs<armnn::LayerType::Concat>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>& layer)</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span> {</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(layer);</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  <span class="keywordflow">return</span> 2;</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span> }</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span> </div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span> <span class="comment">// Tests that the IsLayerSupported() function returns the correct value.</span></div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span> <span class="comment">// We determined the correct value by *trying* to create the relevant workload and seeing if it matches what we expect.</span></div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span> <span class="comment">// Returns true if expectations are met, otherwise returns false.</span></div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType, armnn::DataType DataType, armnn::LayerType Type></div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span> <span class="keywordtype">bool</span> IsLayerSupportedTest(FactoryType *factory, Tag<Type>)</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span> {</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  <span class="keyword">using</span> LayerPolicy = LayerTypePolicy<Type, DataType>;</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  <span class="keyword">using</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> = <span class="keyword">typename</span> LayerPolicy::Type;</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  <span class="keyword">using</span> LayerDesc = <span class="keyword">typename</span> LayerPolicy::Desc;</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  DummyLayer<LayerType, LayerDesc> layer;</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span> </div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  <span class="keywordflow">if</span> (LayerPolicy::IsException) <span class="comment">//Don't test exceptions to the rule.</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>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</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> </div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numIn = GetNumInputs<Type>(*layer.m_Layer);</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOut = GetNumOutputs<Type>(*layer.m_Layer);</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span> </div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  <span class="comment">// Make another dummy layer just to make IsLayerSupported have valid inputs.</span></div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  DummyLayer<armnn::ConstantLayer, void> previousLayer;</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  <span class="comment">// Set output of the previous layer to a dummy tensor.</span></div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> output = MakeDummyTensorInfo<DataType>();</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  previousLayer.m_Layer->GetOutputSlot(0).SetTensorInfo(output);</div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  <span class="comment">// Connect all outputs of the previous layer to inputs of tested layer.</span></div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numIn; i++)</div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  {</div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a>& previousLayerOutputSlot = previousLayer.m_Layer->GetOutputSlot(0);</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  <a class="code" href="classarmnn_1_1_i_input_slot.xhtml">armnn::IInputSlot</a>& layerInputSlot = layer.m_Layer->GetInputSlot(i);</div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  previousLayerOutputSlot.<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(layerInputSlot);</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>  <span class="comment">// Set outputs of tested layer to a dummy tensor.</span></div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numOut; i++)</div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  {</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  layer.m_Layer->GetOutputSlot(0).SetTensorInfo(output);</div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  }</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span> </div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  std::string layerName = LayerPolicy::NameStr;</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  std::string reasonIfUnsupported;</div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a138ca3929b888fa8d9088c076e9de48c">FactoryType::IsLayerSupported</a>(*layer.m_Layer, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>, reasonIfUnsupported))</div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  {</div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  std::string errorMsg = <span class="stringliteral">" layer expected support but found none."</span>;</div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  {</div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  <span class="keywordtype">bool</span> retVal = LayerPolicy::MakeDummyWorkload(factory, numIn, numOut).get() != <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  CHECK_MESSAGE(retVal, layerName << errorMsg);</div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  <span class="keywordflow">return</span> retVal;</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  }</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>& e)</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  {</div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(e);</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  <span class="comment">// This is ok since we throw InvalidArgumentException when creating the dummy workload.</span></div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  }</div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> std::exception& e)</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  {</div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  errorMsg = e.what();</div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  FAIL(layerName << <span class="stringliteral">": "</span> << errorMsg);</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</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>  <span class="keywordflow">catch</span>(...)</div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  {</div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  errorMsg = <span class="stringliteral">"Unexpected error while testing support for "</span>;</div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  FAIL(errorMsg << layerName);</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  }</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>  <span class="keywordflow">else</span></div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  {</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  std::string errorMsg = <span class="stringliteral">"layer expected no support (giving reason: "</span> + reasonIfUnsupported + <span class="stringliteral">") but found some."</span>;</div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  {</div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  <span class="keywordtype">bool</span> retVal = LayerPolicy::MakeDummyWorkload(factory, numIn, numOut).get() == <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  CHECK_MESSAGE(retVal, layerName << errorMsg);</div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  <span class="keywordflow">return</span> retVal;</div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  }</div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  <span class="comment">// These two exceptions are ok: For workloads that are partially supported, attempting to instantiate them</span></div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  <span class="comment">// using parameters that make IsLayerSupported() return false should throw an</span></div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  <span class="comment">// InvalidArgumentException or UnimplementedException.</span></div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>& e)</div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  {</div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(e);</div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  }</div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_unimplemented_exception.xhtml">armnn::UnimplementedException</a>& e)</div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  {</div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(e);</div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</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">catch</span>(<span class="keyword">const</span> std::exception& e)</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>  errorMsg = e.what();</div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  FAIL(layerName << <span class="stringliteral">": "</span> << errorMsg);</div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  <span class="keywordflow">return</span> <span class="keyword">false</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">catch</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>  errorMsg = <span class="stringliteral">"Unexpected error while testing support for "</span>;</div><div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  FAIL(errorMsg << layerName);</div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span>  }</div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  }</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="keyword">template</span><<span class="keyword">typename</span> FactoryType, armnn::DataType DataType, armnn::LayerType Type></div><div class="line"><a name="l00884"></a><span class="lineno"> 884</span> <span class="keywordtype">bool</span> IsLayerSupportedTest(FactoryType *factory, Tag<armnn::LayerType::Map>)</div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span> {</div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(factory);</div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</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> </div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType, armnn::DataType DataType, armnn::LayerType Type></div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span> <span class="keywordtype">bool</span> IsLayerSupportedTest(FactoryType *factory, Tag<armnn::LayerType::Unmap>)</div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span> {</div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(factory);</div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00895"></a><span class="lineno"> 895</span> }</div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span> </div><div class="line"><a name="l00897"></a><span class="lineno"> 897</span> <span class="comment">// Helper function to compute the next type in the LayerType enum.</span></div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span> constexpr <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a> NextType(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a> type)</div><div class="line"><a name="l00899"></a><span class="lineno"> 899</span> {</div><div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  <span class="keywordflow">return</span> <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a><span class="keyword">></span>(<span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(type)+1);</div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span> }</div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span> </div><div class="line"><a name="l00903"></a><span class="lineno"> 903</span> <span class="comment">// Termination function for determining the end of the LayerType enumeration.</span></div><div class="line"><a name="l00904"></a><span class="lineno"> 904</span> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType, armnn::DataType DataType, armnn::LayerType Type></div><div class="line"><a name="l00905"></a><span class="lineno"> 905</span> <span class="keywordtype">bool</span> IsLayerSupportedTestsImpl(FactoryType *factory, Tag<armnn::LayerType::LastLayer>)</div><div class="line"><a name="l00906"></a><span class="lineno"> 906</span> {</div><div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  <span class="keywordflow">return</span> IsLayerSupportedTest<FactoryType, DataType, Type>(factory, Tag<Type>());</div><div class="line"><a name="l00908"></a><span class="lineno"> 908</span> }</div><div class="line"><a name="l00909"></a><span class="lineno"> 909</span> </div><div class="line"><a name="l00910"></a><span class="lineno"> 910</span> <span class="comment">// Recursive function to test and enter in the LayerType enum and then iterate on the next entry.</span></div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType, armnn::DataType DataType, armnn::LayerType Type></div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span> <span class="keywordtype">bool</span> IsLayerSupportedTestsImpl(FactoryType *factory, Tag<Type>)</div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span> {</div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  <span class="keywordtype">bool</span> v = IsLayerSupportedTest<FactoryType, DataType, Type>(factory, Tag<Type>());</div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span> </div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  <span class="keywordflow">return</span> v &&</div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  IsLayerSupportedTestsImpl<FactoryType, DataType, NextType(Type)></div><div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  (factory, Tag<NextType(Type)>());</div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span> }</div><div class="line"><a name="l00920"></a><span class="lineno"> 920</span> </div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span> <span class="comment">// Helper function to pass through to the test framework.</span></div><div class="line"><a name="l00922"></a><span class="lineno"> 922</span> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType, armnn::DataType DataType></div><div class="line"><a name="l00923"></a><span class="lineno"> 923</span> <span class="keywordtype">bool</span> IsLayerSupportedTests(FactoryType *factory)</div><div class="line"><a name="l00924"></a><span class="lineno"> 924</span> {</div><div class="line"><a name="l00925"></a><span class="lineno"> 925</span>  <span class="keywordflow">return</span> IsLayerSupportedTestsImpl<FactoryType, DataType>(factory, Tag<armnn::LayerType::FirstLayer>());</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> </div><div class="line"><a name="l00928"></a><span class="lineno"> 928</span> <span class="keyword">template</span><armnn::LayerType Type></div><div class="line"><a name="l00929"></a><span class="lineno"> 929</span> <span class="keywordtype">bool</span> TestLayerTypeMatches()</div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span> {</div><div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  <span class="keyword">using</span> LayerPolicy = LayerTypePolicy<Type, armnn::DataType::Float32>;</div><div class="line"><a name="l00932"></a><span class="lineno"> 932</span>  <span class="keyword">using</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> = <span class="keyword">typename</span> LayerPolicy::Type;</div><div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  <span class="keyword">using</span> LayerDesc = <span class="keyword">typename</span> LayerPolicy::Desc;</div><div class="line"><a name="l00934"></a><span class="lineno"> 934</span>  DummyLayer<LayerType, LayerDesc> layer;</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>  std::stringstream ss;</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span>  ss << LayerPolicy::NameStr << <span class="stringliteral">" layer type mismatches expected layer type value."</span>;</div><div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  <span class="keywordtype">bool</span> v = Type == layer.m_Layer->GetType();</div><div class="line"><a name="l00939"></a><span class="lineno"> 939</span>  CHECK_MESSAGE(v, ss.str());</div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  <span class="keywordflow">return</span> v;</div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span> }</div><div class="line"><a name="l00942"></a><span class="lineno"> 942</span> </div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span> <span class="keyword">template</span><armnn::LayerType Type></div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span> <span class="keywordtype">bool</span> LayerTypeMatchesTestImpl(Tag<armnn::LayerType::LastLayer>)</div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span> {</div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span>  <span class="keywordflow">return</span> TestLayerTypeMatches<Type>();</div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span> }</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span> </div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span> <span class="keyword">template</span><armnn::LayerType Type></div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span> <span class="keywordtype">bool</span> LayerTypeMatchesTestImpl(Tag<Type>)</div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span> {</div><div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  <span class="keywordflow">return</span> TestLayerTypeMatches<Type>() &&</div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  LayerTypeMatchesTestImpl<NextType(Type)>(Tag<NextType(Type)>());</div><div class="line"><a name="l00954"></a><span class="lineno"> 954</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> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType, <span class="keyword">typename</span> LayerType, armnn::DataType InputDataType , armnn::DataType OutputDataType></div><div class="line"><a name="l00957"></a><span class="lineno"> 957</span> <span class="keywordtype">bool</span> IsConvertLayerSupportedTests(std::string& reasonIfUnsupported)</div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span> {</div><div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  <a class="code" href="classarmnn_1_1_graph.xhtml">armnn::Graph</a> graph;</div><div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>* <span class="keyword">const</span> layer = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>>(<span class="stringliteral">"LayerName"</span>);</div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span> </div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* <span class="keyword">const</span> input = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_input_layer.xhtml">armnn::InputLayer</a>>(0, <span class="stringliteral">"input"</span>);</div><div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* <span class="keyword">const</span> output = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_output_layer.xhtml">armnn::OutputLayer</a>>(0, <span class="stringliteral">"output"</span>);</div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span> </div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo({1, 3, 2, 3}, InputDataType);</div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo({1, 3, 2, 3}, OutputDataType);</div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span> </div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  input->GetOutputSlot(0).Connect(layer->GetInputSlot(0));</div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  input->GetOutputHandler(0).SetTensorInfo(inputTensorInfo);</div><div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  layer->GetOutputSlot(0).Connect(output->GetInputSlot(0));</div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  layer->GetOutputHandler(0).SetTensorInfo(outputTensorInfo);</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>  <span class="keywordtype">bool</span> result = <a class="code" href="namespacearmnn.xhtml#a138ca3929b888fa8d9088c076e9de48c">FactoryType::IsLayerSupported</a>(*layer, InputDataType, reasonIfUnsupported);</div><div class="line"><a name="l00974"></a><span class="lineno"> 974</span> </div><div class="line"><a name="l00975"></a><span class="lineno"> 975</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00976"></a><span class="lineno"> 976</span> }</div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span> </div><div class="line"><a name="l00978"></a><span class="lineno"> 978</span> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType, armnn::DataType InputDataType , armnn::DataType OutputDataType></div><div class="line"><a name="l00979"></a><span class="lineno"> 979</span> <span class="keywordtype">bool</span> IsLogicalBinaryLayerSupportedTests(std::string& reasonIfUnsupported)</div><div class="line"><a name="l00980"></a><span class="lineno"> 980</span> {</div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  <a class="code" href="classarmnn_1_1_graph.xhtml">armnn::Graph</a> graph;</div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  <a class="code" href="structarmnn_1_1_logical_binary_descriptor.xhtml">armnn::LogicalBinaryDescriptor</a> desc(<a class="code" href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">armnn::LogicalBinaryOperation::LogicalOr</a>);</div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span> </div><div class="line"><a name="l00984"></a><span class="lineno"> 984</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* <span class="keyword">const</span> input0 = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_input_layer.xhtml">armnn::InputLayer</a>>(0, <span class="stringliteral">"input0"</span>);</div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* <span class="keyword">const</span> input1 = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_input_layer.xhtml">armnn::InputLayer</a>>(1, <span class="stringliteral">"input1"</span>);</div><div class="line"><a name="l00986"></a><span class="lineno"> 986</span> </div><div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* <span class="keyword">const</span> layer = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_logical_binary_layer.xhtml">armnn::LogicalBinaryLayer</a>>(desc, <span class="stringliteral">"logicalOrLayer"</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"> 989</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* <span class="keyword">const</span> output = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_output_layer.xhtml">armnn::OutputLayer</a>>(0, <span class="stringliteral">"output1"</span>);</div><div class="line"><a name="l00990"></a><span class="lineno"> 990</span> </div><div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo0({1, 1, 1, 4}, InputDataType);</div><div class="line"><a name="l00992"></a><span class="lineno"> 992</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo1({1, 1, 1, 4}, InputDataType);</div><div class="line"><a name="l00993"></a><span class="lineno"> 993</span> </div><div class="line"><a name="l00994"></a><span class="lineno"> 994</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo({1, 1, 1, 4}, OutputDataType);</div><div class="line"><a name="l00995"></a><span class="lineno"> 995</span> </div><div class="line"><a name="l00996"></a><span class="lineno"> 996</span>  input0-><a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815">Connect</a>(layer->GetInputSlot(0));</div><div class="line"><a name="l00997"></a><span class="lineno"> 997</span>  input1->GetOutputSlot(0).Connect(layer->GetInputSlot(1));</div><div class="line"><a name="l00998"></a><span class="lineno"> 998</span> </div><div class="line"><a name="l00999"></a><span class="lineno"> 999</span>  input0-><a class="code" href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>(0).<a class="code" href="classarmnn_1_1_output_handler.xhtml#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(inputTensorInfo0);</div><div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  input1->GetOutputHandler(0).SetTensorInfo(inputTensorInfo1);</div><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span> </div><div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  layer->GetOutputSlot(0).Connect(output->GetInputSlot(0));</div><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>  layer->GetOutputHandler(0).SetTensorInfo(outputTensorInfo);</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> result = <a class="code" href="namespacearmnn.xhtml#a138ca3929b888fa8d9088c076e9de48c">FactoryType::IsLayerSupported</a>(*layer, InputDataType, reasonIfUnsupported);</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>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l01008"></a><span class="lineno"> 1008</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> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType, armnn::DataType InputDataType , armnn::DataType OutputDataType></div><div class="line"><a name="l01011"></a><span class="lineno"> 1011</span> <span class="keywordtype">bool</span> IsLogicalBinaryLayerBroadcastSupportedTests(std::string& reasonIfUnsupported)</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>  <a class="code" href="classarmnn_1_1_graph.xhtml">armnn::Graph</a> graph;</div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  <a class="code" href="structarmnn_1_1_logical_binary_descriptor.xhtml">armnn::LogicalBinaryDescriptor</a> desc(<a class="code" href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">armnn::LogicalBinaryOperation::LogicalAnd</a>);</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>  <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* <span class="keyword">const</span> input0 = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_input_layer.xhtml">armnn::InputLayer</a>>(0, <span class="stringliteral">"input0"</span>);</div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* <span class="keyword">const</span> input1 = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_input_layer.xhtml">armnn::InputLayer</a>>(1, <span class="stringliteral">"input1"</span>);</div><div class="line"><a name="l01018"></a><span class="lineno"> 1018</span> </div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* <span class="keyword">const</span> layer = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_logical_binary_layer.xhtml">armnn::LogicalBinaryLayer</a>>(desc, <span class="stringliteral">"logicalAndLayer"</span>);</div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span> </div><div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* <span class="keyword">const</span> output = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_output_layer.xhtml">armnn::OutputLayer</a>>(0, <span class="stringliteral">"output2"</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"> 1023</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo0({1, 1, 1, 4}, InputDataType);</div><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo1({1, 1, 1, 1}, InputDataType);</div><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span> </div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo({1, 1, 1, 4}, OutputDataType);</div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span> </div><div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  input0-><a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815">Connect</a>(layer->GetInputSlot(0));</div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  input1->GetOutputSlot(0).Connect(layer->GetInputSlot(1));</div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span> </div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  input0-><a class="code" href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>(0).<a class="code" href="classarmnn_1_1_output_handler.xhtml#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(inputTensorInfo0);</div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  input1->GetOutputHandler(0).SetTensorInfo(inputTensorInfo1);</div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span> </div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  layer->GetOutputSlot(0).Connect(output->GetInputSlot(0));</div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>  layer->GetOutputHandler(0).SetTensorInfo(outputTensorInfo);</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> result = <a class="code" href="namespacearmnn.xhtml#a138ca3929b888fa8d9088c076e9de48c">FactoryType::IsLayerSupported</a>(*layer, InputDataType, reasonIfUnsupported);</div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span> </div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  <span class="keywordflow">return</span> result;</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> </div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType, armnn::DataType InputDataType , armnn::DataType OutputDataType></div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span> <span class="keywordtype">bool</span> IsMeanLayerSupportedTests(std::string& reasonIfUnsupported)</div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span> {</div><div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  <a class="code" href="classarmnn_1_1_graph.xhtml">armnn::Graph</a> graph;</div><div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>  <span class="keyword">static</span> <span class="keyword">const</span> std::vector<unsigned> axes = {1, 0};</div><div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml">armnn::MeanDescriptor</a> desc(axes, <span class="keyword">false</span>);</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>  <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* <span class="keyword">const</span> layer = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_mean_layer.xhtml">armnn::MeanLayer</a>>(desc, <span class="stringliteral">"LayerName"</span>);</div><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span> </div><div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* <span class="keyword">const</span> input = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_input_layer.xhtml">armnn::InputLayer</a>>(0, <span class="stringliteral">"input"</span>);</div><div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* <span class="keyword">const</span> output = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_output_layer.xhtml">armnn::OutputLayer</a>>(0, <span class="stringliteral">"output"</span>);</div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span> </div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo({4, 3, 2}, InputDataType);</div><div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo({2}, OutputDataType);</div><div class="line"><a name="l01056"></a><span class="lineno"> 1056</span> </div><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>  input->GetOutputSlot(0).Connect(layer-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0));</div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  input->GetOutputHandler(0).SetTensorInfo(inputTensorInfo);</div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>  layer-><a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815">Connect</a>(output->GetInputSlot(0));</div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>  layer-><a class="code" href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>(0).<a class="code" href="classarmnn_1_1_output_handler.xhtml#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(outputTensorInfo);</div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span> </div><div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  <span class="keywordtype">bool</span> result = <a class="code" href="namespacearmnn.xhtml#a138ca3929b888fa8d9088c076e9de48c">FactoryType::IsLayerSupported</a>(*layer, InputDataType, reasonIfUnsupported);</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="keywordflow">return</span> result;</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> </div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span> <span class="comment">// Tests that IsMeanSupported fails when input tensor dimensions</span></div><div class="line"><a name="l01068"></a><span class="lineno"> 1068</span> <span class="comment">// do not match output tensor dimensions when keepDims == true</span></div><div class="line"><a name="l01069"></a><span class="lineno"> 1069</span> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType, armnn::DataType InputDataType , armnn::DataType OutputDataType></div><div class="line"><a name="l01070"></a><span class="lineno"> 1070</span> <span class="keywordtype">bool</span> IsMeanLayerNotSupportedTests(std::string& reasonIfUnsupported)</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>  <a class="code" href="classarmnn_1_1_graph.xhtml">armnn::Graph</a> graph;</div><div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>  <span class="keyword">static</span> <span class="keyword">const</span> std::vector<unsigned> axes = {};</div><div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>  <span class="comment">// Set keepDims == true</span></div><div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>  <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml">armnn::MeanDescriptor</a> desc(axes, <span class="keyword">true</span>);</div><div class="line"><a name="l01076"></a><span class="lineno"> 1076</span> </div><div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* <span class="keyword">const</span> layer = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_mean_layer.xhtml">armnn::MeanLayer</a>>(desc, <span class="stringliteral">"LayerName"</span>);</div><div class="line"><a name="l01078"></a><span class="lineno"> 1078</span> </div><div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* <span class="keyword">const</span> input = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_input_layer.xhtml">armnn::InputLayer</a>>(0, <span class="stringliteral">"input"</span>);</div><div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* <span class="keyword">const</span> output = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_output_layer.xhtml">armnn::OutputLayer</a>>(0, <span class="stringliteral">"output"</span>);</div><div class="line"><a name="l01081"></a><span class="lineno"> 1081</span> </div><div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  <span class="comment">// Mismatching number of tensor dimensions</span></div><div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo({1, 1, 1, 1}, InputDataType);</div><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo({1, 1}, OutputDataType);</div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span> </div><div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>  input->GetOutputSlot(0).Connect(layer-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0));</div><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  input->GetOutputHandler(0).SetTensorInfo(inputTensorInfo);</div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  layer-><a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815">Connect</a>(output->GetInputSlot(0));</div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>  layer-><a class="code" href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>(0).<a class="code" href="classarmnn_1_1_output_handler.xhtml#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(outputTensorInfo);</div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span> </div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  <span class="keywordtype">bool</span> result = <a class="code" href="namespacearmnn.xhtml#a138ca3929b888fa8d9088c076e9de48c">FactoryType::IsLayerSupported</a>(*layer, InputDataType, reasonIfUnsupported);</div><div class="line"><a name="l01092"></a><span class="lineno"> 1092</span> </div><div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span> }</div><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span> </div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType, armnn::DataType OutputDataType></div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span> <span class="keywordtype">bool</span> IsConstantLayerSupportedTests(std::string& reasonIfUnsupported)</div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span> {</div><div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>  <a class="code" href="classarmnn_1_1_graph.xhtml">armnn::Graph</a> graph;</div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span> </div><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* <span class="keyword">const</span> layer = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_constant_layer.xhtml">armnn::ConstantLayer</a>>(<span class="stringliteral">"ConstantLayerName"</span>);</div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* <span class="keyword">const</span> output = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_output_layer.xhtml">armnn::OutputLayer</a>>(0, <span class="stringliteral">"OutputLayerName"</span>);</div><div class="line"><a name="l01103"></a><span class="lineno"> 1103</span> </div><div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo({1, 1}, OutputDataType);</div><div class="line"><a name="l01105"></a><span class="lineno"> 1105</span> </div><div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>  layer-><a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815">Connect</a>(output->GetInputSlot(0));</div><div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>  layer-><a class="code" href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>(0).<a class="code" href="classarmnn_1_1_output_handler.xhtml#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(outputTensorInfo);</div><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span> </div><div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>  <span class="keywordtype">bool</span> result = <a class="code" href="namespacearmnn.xhtml#a138ca3929b888fa8d9088c076e9de48c">FactoryType::IsLayerSupported</a>(*layer, OutputDataType, reasonIfUnsupported);</div><div class="line"><a name="l01110"></a><span class="lineno"> 1110</span> </div><div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l01112"></a><span class="lineno"> 1112</span> }</div><div class="line"><a name="l01113"></a><span class="lineno"> 1113</span> </div><div class="line"><a name="l01114"></a><span class="lineno"> 1114</span> } <span class="comment">//namespace</span></div><div class="ttc" id="classarmnn_1_1_constant_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_constant_layer.xhtml">armnn::ConstantLayer</a></div><div class="ttdoc">A layer that the constant data can be bound to. </div><div class="ttdef"><b>Definition:</b> <a href="_constant_layer_8hpp_source.xhtml#l00015">ConstantLayer.hpp:15</a></div></div> +<div class="ttc" id="_ignore_unused_8hpp_xhtml"><div class="ttname"><a href="_ignore_unused_8hpp.xhtml">IgnoreUnused.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_splitter_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_splitter_layer.xhtml">armnn::SplitterLayer</a></div><div class="ttdoc">This layer represents a split operation. </div><div class="ttdef"><b>Definition:</b> <a href="_splitter_layer_8hpp_source.xhtml#l00013">SplitterLayer.hpp:13</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a138ca3929b888fa8d9088c076e9de48c"><div class="ttname"><a href="namespacearmnn.xhtml#a138ca3929b888fa8d9088c076e9de48c">armnn::IsLayerSupported</a></div><div class="ttdeci">bool IsLayerSupported(const armnn::Layer *layer)</div><div class="ttdef"><b>Definition:</b> <a href="_mock_backend_8cpp_source.xhtml#l00060">MockBackend.cpp:60</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a855293b1be0581fb61ef6a1c5b027d0f"><div class="ttname"><a href="namespacearmnn.xhtml#a855293b1be0581fb61ef6a1c5b027d0f">armnn::Dequantize</a></div><div class="ttdeci">float Dequantize(QuantizedType value, float scale, int32_t offset)</div><div class="ttdoc">Dequantize an 8-bit data type into a floating point data type. </div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8cpp_source.xhtml#l00046">TypesUtils.cpp:46</a></div></div> +<div class="ttc" id="classarmnn_1_1_batch_normalization_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.xhtml">armnn::BatchNormalizationLayer</a></div><div class="ttdoc">This layer represents a batch normalization operation. </div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8hpp_source.xhtml#l00015">BatchNormalizationLayer.hpp:15</a></div></div> +<div class="ttc" id="structarmnn_1_1_views_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml">armnn::ViewsDescriptor</a></div><div class="ttdoc">A ViewsDescriptor for the SplitterLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00217">Descriptors.hpp:217</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a044ea0cc993d4d1fbe4ec877b17b8d39"><div class="ttname"><a href="namespacearmnn.xhtml#a044ea0cc993d4d1fbe4ec877b17b8d39">armnn::Slice</a></div><div class="ttdeci">void Slice(const TensorInfo &inputInfo, const SliceDescriptor &descriptor, const void *inputData, void *outputData, unsigned int dataTypeSize)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_slice_8cpp_source.xhtml#l00014">Slice.cpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_abc0660dc440c8a285b456c9ef6383c26"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">armnn::Layer::GetNumInputSlots</a></div><div class="ttdeci">unsigned int GetNumInputSlots() const override</div><div class="ttdoc">Returns the number of connectable input slots. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00319">Layer.hpp:319</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ac90715a0439d1e77922996a27ef3a534"><div class="ttname"><a href="namespacearmnn.xhtml#ac90715a0439d1e77922996a27ef3a534">armnn::Splitter</a></div><div class="ttdeci">void Splitter(const SplitterQueueDescriptor &data, std::vector< ITensorHandle *> inputs, std::vector< ITensorHandle *> outputs)</div><div class="ttdef"><b>Definition:</b> <a href="_splitter_8hpp_source.xhtml#l00017">Splitter.hpp:17</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ac245fda400649db10eed0dc96c1b5c37"><div class="ttname"><a href="namespacearmnn.xhtml#ac245fda400649db10eed0dc96c1b5c37">armnn::Stack</a></div><div class="ttdeci">void Stack(const StackQueueDescriptor &data, std::vector< std::unique_ptr< Decoder< float >>> &inputs, Encoder< float > &output, const TensorInfo &inputInfo, const TensorInfo &outputInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_stack_8cpp_source.xhtml#l00012">Stack.cpp:12</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#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a88bebdfe6309aa2cd6831cfa73c296f0"><div class="ttname"><a href="namespacearmnn.xhtml#a88bebdfe6309aa2cd6831cfa73c296f0">armnn::Fill</a></div><div class="ttdeci">void Fill(Encoder< float > &output, const TensorShape &desiredOutputShape, const float value)</div><div class="ttdoc">Creates a tensor and fills it with a scalar value. </div><div class="ttdef"><b>Definition:</b> <a href="_fill_8cpp_source.xhtml#l00013">Fill.cpp:13</a></div></div> +<div class="ttc" id="classarmnn_1_1_graph_xhtml_a7563c5b899e7d0ada08fd0fdb202f205"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">armnn::Graph::AddLayer</a></div><div class="ttdeci">LayerT * AddLayer(Args &&... args)</div><div class="ttdoc">Adds a new layer, of type LayerType, to the graph constructed with the arguments passed. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00425">Graph.hpp:425</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55"><div class="ttname"><a href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">armnn::LogicalBinaryOperation::LogicalAnd</a></div></div> +<div class="ttc" id="structarmnn_1_1_q_lstm_descriptor_xhtml_a2837b4396f20c956952d1a7286cab5f8"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">armnn::QLstmDescriptor::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#l01401">Descriptors.hpp:1401</a></div></div> +<div class="ttc" id="_map_workload_8hpp_xhtml"><div class="ttname"><a href="_map_workload_8hpp.xhtml">MapWorkload.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad64b7a275169ba1b1ba2d15679f7e8b1"><div class="ttname"><a href="namespacearmnn.xhtml#ad64b7a275169ba1b1ba2d15679f7e8b1">armnn::Reduce</a></div><div class="ttdeci">void Reduce(const TensorInfo &inputInfo, const TensorInfo &outputInfo, Decoder< float > &input, Encoder< float > &output, const std::vector< uint32_t > axis, const ReduceOperation reduceOperation)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_reduce_8cpp_source.xhtml#l00070">Reduce.cpp:70</a></div></div> +<div class="ttc" id="_subgraph_view_selector_8cpp_xhtml_ac0f60caa770d0eda339103aa4098ad15"><div class="ttname"><a href="_subgraph_view_selector_8cpp.xhtml#ac0f60caa770d0eda339103aa4098ad15">m_Layer</a></div><div class="ttdeci">IConnectableLayer * m_Layer</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_selector_8cpp_source.xhtml#l00247">SubgraphViewSelector.cpp:247</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_adcfb97035799ea4c043f9ef370714815"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815">armnn::OutputSlot::Connect</a></div><div class="ttdeci">int Connect(InputSlot &destination)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00112">Layer.cpp:112</a></div></div> +<div class="ttc" id="classarmnn_1_1_graph_xhtml_a96d76fd10af39fbfabfd0caf0d1439fa"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">armnn::Graph::EraseLayer</a></div><div class="ttdeci">void EraseLayer(Iterator pos)</div><div class="ttdoc">Deletes the layer at the specified position. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00473">Graph.hpp:473</a></div></div> +<div class="ttc" id="classarmnn_1_1_unimplemented_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_unimplemented_exception.xhtml">armnn::UnimplementedException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00098">Exceptions.hpp:98</a></div></div> +<div class="ttc" id="structarmnn_1_1_logical_binary_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_logical_binary_descriptor.xhtml">armnn::LogicalBinaryDescriptor</a></div><div class="ttdoc">A LogicalBinaryDescriptor for the LogicalBinaryLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01492">Descriptors.hpp:1492</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_utils_xhtml_a405d5f966ec992d1717711e5a2d7909d"><div class="ttname"><a href="namespacearmnn_utils.xhtml#a405d5f966ec992d1717711e5a2d7909d">armnnUtils::Transpose</a></div><div class="ttdeci">void Transpose(const armnn::TensorShape &dstShape, const armnn::PermutationVector &mappings, const void *src, void *dst, size_t dataTypeSize)</div><div class="ttdef"><b>Definition:</b> <a href="armnn_utils_2_transpose_8cpp_source.xhtml#l00120">Transpose.cpp:120</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ab023d9a7687e35c0f108458a094c1f56"><div class="ttname"><a href="namespacearmnn.xhtml#ab023d9a7687e35c0f108458a094c1f56">armnn::DepthToSpace</a></div><div class="ttdeci">void DepthToSpace(const TensorInfo &inputInfo, const DepthToSpaceDescriptor &descriptor, const void *inputData, void *outputData, unsigned int dataTypeSize)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_depth_to_space_8cpp_source.xhtml#l00018">DepthToSpace.cpp:18</a></div></div> +<div class="ttc" id="include_2armnn_2backends_2_workload_factory_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_2backends_2_workload_factory_8hpp.xhtml">WorkloadFactory.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_detection_post_process_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.xhtml">armnn::DetectionPostProcessLayer</a></div><div class="ttdoc">This layer represents a detection postprocess operator. </div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8hpp_source.xhtml#l00016">DetectionPostProcessLayer.hpp:16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad441be836a142e8935e0413f4a22c9ec"><div class="ttname"><a href="namespacearmnn.xhtml#ad441be836a142e8935e0413f4a22c9ec">armnn::ArgMinMax</a></div><div class="ttdeci">void ArgMinMax(Decoder< float > &in, OUT *out, const TensorInfo &inputTensorInfo, const TensorInfo &outputTensorInfo, ArgMinMaxFunction function, int axis)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_arg_min_max_8cpp_source.xhtml#l00016">ArgMinMax.cpp:16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div> +<div class="ttc" id="_is_layer_supported_test_impl_8hpp_xhtml_a22fc459f237f3214c9e5efbada894a28"><div class="ttname"><a href="_is_layer_supported_test_impl_8hpp.xhtml#a22fc459f237f3214c9e5efbada894a28">DECLARE_LAYER_POLICY_CUSTOM_PARAM</a></div><div class="ttdeci">#define DECLARE_LAYER_POLICY_CUSTOM_PARAM(name, descType)</div><div class="ttdef"><b>Definition:</b> <a href="_is_layer_supported_test_impl_8hpp_source.xhtml#l00537">IsLayerSupportedTestImpl.hpp:537</a></div></div> +<div class="ttc" id="classarmnn_1_1_lstm_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_lstm_layer.xhtml">armnn::LstmLayer</a></div><div class="ttdoc">This layer represents a LSTM operation. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.xhtml#l00016">LstmLayer.hpp:16</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="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ab3c0b7e1a78b1b98c24934221f36a7c3"><div class="ttname"><a href="namespacearmnn.xhtml#ab3c0b7e1a78b1b98c24934221f36a7c3">armnn::FakeQuantization</a></div><div class="ttdeci">void FakeQuantization(const float *inputData, float *outputData, uint32_t numElements, float min, float max)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_fake_quantization_float32_workload_8cpp_source.xhtml#l00017">RefFakeQuantizationFloat32Workload.cpp:17</a></div></div> +<div class="ttc" id="_unmap_workload_8hpp_xhtml"><div class="ttname"><a href="_unmap_workload_8hpp.xhtml">UnmapWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a1594bddc87d6477df300317658f566bb"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">armnn::Layer::GetNumOutputSlots</a></div><div class="ttdeci">unsigned int GetNumOutputSlots() const override</div><div class="ttdoc">Returns the number of connectable output slots. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00320">Layer.hpp:320</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#l00840">Descriptors.hpp:840</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ab8cf8f9fb6792e654c2d8d8382f6f01b"><div class="ttname"><a href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a></div><div class="ttdeci">int LayerBindingId</div><div class="ttdoc">Type of identifiers for bindable layers (inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00290">Types.hpp:290</a></div></div> +<div class="ttc" id="classarmnn_1_1_map_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_map_layer.xhtml">armnn::MapLayer</a></div><div class="ttdoc">This layer represents a memory copy operation. </div><div class="ttdef"><b>Definition:</b> <a href="_map_layer_8hpp_source.xhtml#l00013">MapLayer.hpp:13</a></div></div> +<div class="ttc" id="classarmnn_1_1_unmap_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_unmap_layer.xhtml">armnn::UnmapLayer</a></div><div class="ttdoc">This layer represents a memory copy operation. </div><div class="ttdef"><b>Definition:</b> <a href="_unmap_layer_8hpp_source.xhtml#l00013">UnmapLayer.hpp:13</a></div></div> +<div class="ttc" id="namespacearmnn_utils_xhtml_af3c74017185773dd61d8ca6662d65d43"><div class="ttname"><a href="namespacearmnn_utils.xhtml#af3c74017185773dd61d8ca6662d65d43">armnnUtils::Permute</a></div><div class="ttdeci">void Permute(const armnn::TensorShape &dstShape, const armnn::PermutationVector &mappings, const void *src, void *dst, size_t dataTypeSize)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_8cpp_source.xhtml#l00131">Permute.cpp:131</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00322">Layer.hpp:322</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml_ac97905bfa0daab357b91df1347600309"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">armnn::WorkloadInfo::m_InputTensorInfos</a></div><div class="ttdeci">std::vector< TensorInfo > m_InputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00018">WorkloadInfo.hpp:18</a></div></div> +<div class="ttc" id="classarmnn_1_1_logical_binary_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_logical_binary_layer.xhtml">armnn::LogicalBinaryLayer</a></div><div class="ttdoc">This layer represents a Logical Binary operation. </div><div class="ttdef"><b>Definition:</b> <a href="_logical_binary_layer_8hpp_source.xhtml#l00014">LogicalBinaryLayer.hpp:14</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae76ce23fa9fc18e56448d52b37dd3f32"><div class="ttname"><a href="namespacearmnn.xhtml#ae76ce23fa9fc18e56448d52b37dd3f32">armnn::DetectionPostProcess</a></div><div class="ttdeci">void DetectionPostProcess(const TensorInfo &boxEncodingsInfo, const TensorInfo &scoresInfo, const TensorInfo &anchorsInfo, const TensorInfo &detectionBoxesInfo, const TensorInfo &detectionClassesInfo, const TensorInfo &detectionScoresInfo, const TensorInfo &numDetectionsInfo, const DetectionPostProcessDescriptor &desc, Decoder< float > &boxEncodings, Decoder< float > &scores, Decoder< float > &anchors, float *detectionBoxes, float *detectionClasses, float *detectionScores, float *numDetections)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_detection_post_process_8cpp_source.xhtml#l00140">DetectionPostProcess.cpp:140</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_output_layer.xhtml">armnn::OutputLayer</a></div><div class="ttdoc">A layer user-provided data can be bound to (e.g. inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_output_layer_8hpp_source.xhtml#l00013">OutputLayer.hpp:13</a></div></div> +<div class="ttc" id="structarmnn_1_1_q_lstm_descriptor_xhtml_a4a8ec49f130084445d44297549254780"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">armnn::QLstmDescriptor::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#l01405">Descriptors.hpp:1405</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_aed508ea8d7b3ef4e171cb6f178acf086"><div class="ttname"><a href="namespacearmnn.xhtml#aed508ea8d7b3ef4e171cb6f178acf086">armnn::GetNumInputs</a></div><div class="ttdeci">uint32_t GetNumInputs(bool biasEnabled)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00428">Descriptors.cpp:428</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#l00048">Types.hpp:48</a></div></div> +<div class="ttc" id="classarmnn_1_1_fully_connected_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_fully_connected_layer.xhtml">armnn::FullyConnectedLayer</a></div><div class="ttdoc">This layer represents a fully connected operation. </div><div class="ttdef"><b>Definition:</b> <a href="_fully_connected_layer_8hpp_source.xhtml#l00015">FullyConnectedLayer.hpp:15</a></div></div> +<div class="ttc" id="classarmnn_1_1_quantized_lstm_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.xhtml">armnn::QuantizedLstmLayer</a></div><div class="ttdoc">This layer represents a QuantizedLstm operation. </div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00045">QuantizedLstmLayer.hpp:45</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a></div><div class="ttdoc">An output connection slot for a layer. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00040">INetwork.hpp:40</a></div></div> +<div class="ttc" id="_graph_8hpp_xhtml"><div class="ttname"><a href="_graph_8hpp.xhtml">Graph.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a38c9c1724b660b2558a19895b681a8fb"><div class="ttname"><a href="namespacearmnn.xhtml#a38c9c1724b660b2558a19895b681a8fb">armnn::Gather</a></div><div class="ttdeci">void Gather(const TensorInfo &paramsInfo, const TensorInfo &indicesInfo, const TensorInfo &outputInfo, Decoder< float > &params, const int32_t *indices, Encoder< float > &output, const int32_t axis)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_gather_8cpp_source.xhtml#l00017">Gather.cpp:17</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#l00174">Descriptors.hpp:174</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="_is_layer_supported_test_impl_8hpp_xhtml_a26c3597a39bf385163bc2cc79d2de4a7"><div class="ttname"><a href="_is_layer_supported_test_impl_8hpp.xhtml#a26c3597a39bf385163bc2cc79d2de4a7">DECLARE_LAYER_POLICY_EXCEPTION_2_PARAM</a></div><div class="ttdeci">#define DECLARE_LAYER_POLICY_EXCEPTION_2_PARAM(name)</div><div class="ttdef"><b>Definition:</b> <a href="_is_layer_supported_test_impl_8hpp_source.xhtml#l00604">IsLayerSupportedTestImpl.hpp:604</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#l00468">Descriptors.hpp:468</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a5aae369ef847a00062925cea8e9be9c4"><div class="ttname"><a href="namespacearmnn.xhtml#a5aae369ef847a00062925cea8e9be9c4">armnn::Debug</a></div><div class="ttdeci">void Debug(const TensorInfo &inputInfo, const T *inputData, LayerGuid guid, const std::string &layerName, unsigned int slotIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_debug_8cpp_source.xhtml#l00019">Debug.cpp:19</a></div></div> +<div class="ttc" id="classarmnn_1_1_concat_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_concat_layer.xhtml">armnn::ConcatLayer</a></div><div class="ttdoc">This layer represents a merge operation. </div><div class="ttdef"><b>Definition:</b> <a href="_concat_layer_8hpp_source.xhtml#l00013">ConcatLayer.hpp:13</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a7636fbbc4f8ea2d0cf9f3ac2d12a4c62"><div class="ttname"><a href="namespacearmnn.xhtml#a7636fbbc4f8ea2d0cf9f3ac2d12a4c62">armnn::Activation</a></div><div class="ttdeci">float Activation(float in, ActivationFunction function, float a, float b)</div><div class="ttdef"><b>Definition:</b> <a href="_activation_8cpp_source.xhtml#l00013">Activation.cpp:13</a></div></div> +<div class="ttc" id="classarmnn_1_1_batch_to_space_nd_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_batch_to_space_nd_layer.xhtml">armnn::BatchToSpaceNdLayer</a></div><div class="ttdoc">This layer represents a BatchToSpaceNd operation. </div><div class="ttdef"><b>Definition:</b> <a href="_batch_to_space_nd_layer_8hpp_source.xhtml#l00013">BatchToSpaceNdLayer.hpp:13</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a3c62b52d21e28088f040a4b6c2a06022"><div class="ttname"><a href="namespacearmnn.xhtml#a3c62b52d21e28088f040a4b6c2a06022">armnn::Pad</a></div><div class="ttdeci">void Pad(const TensorInfo &inputInfo, const TensorInfo &outputInfo, const ITensorHandle *inputHandle, ITensorHandle *outputHandle, const PadQueueDescriptor &data)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_pad_8cpp_source.xhtml#l00039">Pad.cpp:39</a></div></div> +<div class="ttc" id="structarmnn_1_1_q_lstm_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml">armnn::QLstmDescriptor</a></div><div class="ttdoc">A QLstmDescriptor for the QLstmLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01361">Descriptors.hpp:1361</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad773a034fb9983e15f3094b4c5c7c30c"><div class="ttname"><a href="namespacearmnn.xhtml#ad773a034fb9983e15f3094b4c5c7c30c">armnn::Quantize</a></div><div class="ttdeci">QuantizedType Quantize(float value, float scale, int32_t offset)</div><div class="ttdoc">Quantize a floating point data type into an 8-bit data type. </div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8cpp_source.xhtml#l00030">TypesUtils.cpp:30</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml_a67b178f8a836bc1e52b8de109760adfd"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">armnn::WorkloadInfo::m_OutputTensorInfos</a></div><div class="ttdeci">std::vector< TensorInfo > m_OutputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00019">WorkloadInfo.hpp:19</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ac52e04c0e349e25bcdaa72c27395ef8f"><div class="ttname"><a href="namespacearmnn.xhtml#ac52e04c0e349e25bcdaa72c27395ef8f">armnn::LogSoftmax</a></div><div class="ttdeci">void LogSoftmax(Decoder< float > &input, Encoder< float > &output, const TensorInfo &inputInfo, const LogSoftmaxDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_log_softmax_8cpp_source.xhtml#l00029">LogSoftmax.cpp:29</a></div></div> +<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div> +<div class="ttc" id="classarmnn_1_1_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00030">Graph.hpp:30</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4a180e425d4c19b2cdea4ce5760180e1"><div class="ttname"><a href="namespacearmnn.xhtml#a4a180e425d4c19b2cdea4ce5760180e1">armnn::SpaceToBatchNd</a></div><div class="ttdeci">void SpaceToBatchNd(const TensorInfo &inputInfo, const TensorInfo &outputInfo, const SpaceToBatchNdDescriptor &params, Decoder< float > &inputData, Encoder< float > &outputData)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_space_to_batch_n_d_8cpp_source.xhtml#l00034">SpaceToBatchNd.cpp:34</a></div></div> +<div class="ttc" id="_is_layer_supported_test_impl_8hpp_xhtml_a50f261c1d954aee96c5e283bec9b3736"><div class="ttname"><a href="_is_layer_supported_test_impl_8hpp.xhtml#a50f261c1d954aee96c5e283bec9b3736">DECLARE_LAYER_POLICY_MAP_PARAM</a></div><div class="ttdeci">#define DECLARE_LAYER_POLICY_MAP_PARAM(name, descType)</div><div class="ttdef"><b>Definition:</b> <a href="_is_layer_supported_test_impl_8hpp_source.xhtml#l00556">IsLayerSupportedTestImpl.hpp:556</a></div></div> +<div class="ttc" id="_is_layer_supported_test_impl_8hpp_xhtml_a3c90603b8bd4980b6f211b07f710454a"><div class="ttname"><a href="_is_layer_supported_test_impl_8hpp.xhtml#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a></div><div class="ttdeci">#define DECLARE_LAYER_POLICY_1_PARAM(name)</div><div class="ttdef"><b>Definition:</b> <a href="_is_layer_supported_test_impl_8hpp_source.xhtml#l00579">IsLayerSupportedTestImpl.hpp:579</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_handler_xhtml_a97db12c41024f5545ef5cc4153e5443b"><div class="ttname"><a href="classarmnn_1_1_output_handler.xhtml#a97db12c41024f5545ef5cc4153e5443b">armnn::OutputHandler::SetTensorInfo</a></div><div class="ttdeci">void SetTensorInfo(const TensorInfo &tensorInfo)</div><div class="ttdoc">Sets the TensorInfo used by this output handler. </div><div class="ttdef"><b>Definition:</b> <a href="_output_handler_8cpp_source.xhtml#l00015">OutputHandler.cpp:15</a></div></div> +<div class="ttc" id="classarmnn_1_1_q_lstm_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.xhtml">armnn::QLstmLayer</a></div><div class="ttdoc">This layer represents a QLstm operation. </div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.xhtml#l00079">QLstmLayer.hpp:79</a></div></div> +<div class="ttc" id="classarmnn_1_1_unidirectional_sequence_lstm_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_unidirectional_sequence_lstm_layer.xhtml">armnn::UnidirectionalSequenceLstmLayer</a></div><div class="ttdoc">This layer represents a LSTM operation. </div><div class="ttdef"><b>Definition:</b> <a href="_unidirectional_sequence_lstm_layer_8hpp_source.xhtml#l00016">UnidirectionalSequenceLstmLayer.hpp:16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a86d7a7168ac00b75b4971f9aad623698"><div class="ttname"><a href="namespacearmnn.xhtml#a86d7a7168ac00b75b4971f9aad623698">armnn::StridedSlice</a></div><div class="ttdeci">void StridedSlice(const TensorInfo &inputInfo, const StridedSliceDescriptor &params, const void *inputData, void *outputData, unsigned int dataTypeSize)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_strided_slice_8cpp_source.xhtml#l00090">StridedSlice.cpp:90</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_af2c0edc7ea62a8baaec4d3d9b2b09256"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">armnn::Layer::GetOutputHandler</a></div><div class="ttdeci">const OutputHandler & GetOutputHandler(unsigned int i=0) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00230">Layer.hpp:230</a></div></div> +<div class="ttc" id="structarmnn_1_1_q_lstm_descriptor_xhtml_a6c9de81fc65b3c4924cab11907075a17"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">armnn::QLstmDescriptor::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#l01403">Descriptors.hpp:1403</a></div></div> +<div class="ttc" id="classarmnn_1_1_input_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_input_layer.xhtml">armnn::InputLayer</a></div><div class="ttdoc">A layer user-provided data can be bound to (e.g. inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_input_layer_8hpp_source.xhtml#l00013">InputLayer.hpp:13</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#l01153">Descriptors.hpp:1153</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00324">Layer.hpp:324</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a69acbef24cd1cc572b93fc3e1e6ac030"><div class="ttname"><a href="namespacearmnn.xhtml#a69acbef24cd1cc572b93fc3e1e6ac030">armnn::Pooling3d</a></div><div class="ttdeci">void Pooling3d(Decoder< float > &rInputDecoder, Encoder< float > &rOutputEncoder, const TensorInfo &inputInfo, const TensorInfo &outputInfo, const Pooling3dDescriptor &params)</div><div class="ttdoc">Computes the Pooling3d operation. </div><div class="ttdef"><b>Definition:</b> <a href="_pooling3d_8cpp_source.xhtml#l00172">Pooling3d.cpp:172</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a5e1dc69443b64ad16b669388a6023f7a"><div class="ttname"><a href="namespacearmnn.xhtml#a5e1dc69443b64ad16b669388a6023f7a">armnn::SpaceToDepth</a></div><div class="ttdeci">void SpaceToDepth(const TensorInfo &inputInfo, const TensorInfo &outputInfo, const SpaceToDepthDescriptor &params, Decoder< float > &inputData, Encoder< float > &outputData)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_depth_8cpp_source.xhtml#l00036">SpaceToDepth.cpp:36</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div></div> +<div class="ttc" id="_is_layer_supported_test_impl_8hpp_xhtml_a6f1733a5293675a821587ff5b022246d"><div class="ttname"><a href="_is_layer_supported_test_impl_8hpp.xhtml#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a></div><div class="ttdeci">#define DECLARE_LAYER_POLICY_2_PARAM(name)</div><div class="ttdef"><b>Definition:</b> <a href="_is_layer_supported_test_impl_8hpp_source.xhtml#l00583">IsLayerSupportedTestImpl.hpp:583</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247"><div class="ttname"><a href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">armnn::LogicalBinaryOperation::LogicalOr</a></div></div> +<div class="ttc" id="classarmnn_1_1_mean_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_mean_layer.xhtml">armnn::MeanLayer</a></div><div class="ttdoc">This layer represents a mean operation. </div><div class="ttdef"><b>Definition:</b> <a href="_mean_layer_8hpp_source.xhtml#l00014">MeanLayer.hpp:14</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a8746512fab5ec10c2c57800c66311ba7"><div class="ttname"><a href="namespacearmnn.xhtml#a8746512fab5ec10c2c57800c66311ba7">armnn::BatchToSpaceNd</a></div><div class="ttdeci">void BatchToSpaceNd(const DataLayoutIndexed &dataLayout, const TensorInfo &inputTensorInfo, const TensorInfo &outputTensorInfo, const std::vector< unsigned int > &blockShape, const std::vector< std::pair< unsigned int, unsigned int >> &cropsData, Decoder< float > &inputDecoder, Encoder< float > &outputEncoder)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_batch_to_space_n_d_8cpp_source.xhtml#l00035">BatchToSpaceNd.cpp:35</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_ac1835f8756a9f03c02fcf9664e3a0fce"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">armnn::IOutputSlot::Connect</a></div><div class="ttdeci">virtual int Connect(IInputSlot &destination)=0</div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae2e93e304cf516841c521e3eaee025cd"><div class="ttname"><a href="namespacearmnn.xhtml#ae2e93e304cf516841c521e3eaee025cd">armnn::Pooling2d</a></div><div class="ttdeci">void Pooling2d(Decoder< float > &rInputDecoder, Encoder< float > &rOutputEncoder, const TensorInfo &inputInfo, const TensorInfo &outputInfo, const Pooling2dDescriptor &params)</div><div class="ttdoc">Computes the Pooling2d operation. </div><div class="ttdef"><b>Definition:</b> <a href="_pooling2d_8cpp_source.xhtml#l00142">Pooling2d.cpp:142</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#l00678">Descriptors.hpp:678</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_aa999ff2585ad75b95954a9323f63c32b"><div class="ttname"><a href="namespacearmnn.xhtml#aa999ff2585ad75b95954a9323f63c32b">armnn::Softmax</a></div><div class="ttdeci">void Softmax(Decoder< float > &in, Encoder< float > &out, const TensorInfo &inputTensorInfo, float beta, int axis)</div><div class="ttdoc">Computes the softmax function on some inputs, into outputs, with a shape given by tensorInfo...</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_softmax_8cpp_source.xhtml#l00017">Softmax.cpp:17</a></div></div> +<div class="ttc" id="structarmnn_1_1_q_lstm_descriptor_xhtml_ad474e5c51a0b194ef32e812b86c0cbdb"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">armnn::QLstmDescriptor::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#l01399">Descriptors.hpp:1399</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_input_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_input_slot.xhtml">armnn::IInputSlot</a></div><div class="ttdoc">An input connection slot for a layer. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00026">INetwork.hpp:26</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a6894316aa645fd5e837739135bef04bb"><div class="ttname"><a href="namespacearmnn.xhtml#a6894316aa645fd5e837739135bef04bb">armnn::Resize</a></div><div class="ttdeci">void Resize(Decoder< float > &in, const TensorInfo &inputInfo, Encoder< float > &out, const TensorInfo &outputInfo, DataLayoutIndexed dataLayout, armnn::ResizeMethod resizeMethod, bool alignCorners, bool halfPixelCenters)</div><div class="ttdef"><b>Definition:</b> <a href="_resize_8cpp_source.xhtml#l00065">Resize.cpp:65</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00215">Layer.hpp:215</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#l00793">Descriptors.hpp:793</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a435f9350a94adfbb0d5b9abb5f430914"><div class="ttname"><a href="namespacearmnn.xhtml#a435f9350a94adfbb0d5b9abb5f430914">armnn::FullyConnected</a></div><div class="ttdeci">void FullyConnected(const TensorShape &rInputShape, Decoder< float > &rInputDecoder, const TensorShape &rOutputShape, Encoder< float > &rOutputEncoder, const TensorShape &rWeightsShape, Decoder< float > &rWeightDecoder, Decoder< float > *pBiasDecoder, const bool biasEnabled, const unsigned int K, const bool transposeWeights)</div><div class="ttdoc">Performs a matrix multiplication and optionally adds a bias. </div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_fully_connected_8cpp_source.xhtml#l00015">FullyConnected.cpp:15</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00467">Types.hpp:467</a></div></div> +</div><!-- fragment --></div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" 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