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diff --git a/20.02/_i_layer_support_8hpp_source.xhtml b/20.02/_i_layer_support_8hpp_source.xhtml new file mode 100644 index 0000000000..1f69f40bc9 --- /dev/null +++ b/20.02/_i_layer_support_8hpp_source.xhtml @@ -0,0 +1,229 @@ +<!-- 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: include/armnn/ILayerSupport.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"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">20.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('_i_layer_support_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">ILayerSupport.hpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_i_layer_support_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. 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="_deprecated_8hpp.xhtml">armnn/Deprecated.hpp</a>></span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_descriptors_fwd_8hpp.xhtml">armnn/DescriptorsFwd.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_lstm_params_8hpp.xhtml">armnn/LstmParams.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_optional_8hpp.xhtml">armnn/Optional.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_quantized_lstm_params_8hpp.xhtml">armnn/QuantizedLstmParams.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <cctype></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <functional></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <memory></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <vector></span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> {</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="keyword">class </span>TensorInfo;</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> </div><div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_layer_support.xhtml"> 23</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_i_layer_support.xhtml">ILayerSupport</a></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> {</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="keyword">protected</span>:</div><div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_layer_support.xhtml#aab2a487bc88047443d8a0f87c3c40b8d"> 26</a></span>  <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aab2a487bc88047443d8a0f87c3c40b8d">ILayerSupport</a>() {}</div><div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_layer_support.xhtml#a9e7f4f28576904804cd759e49173beeb"> 27</a></span>  <span class="keyword">virtual</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a9e7f4f28576904804cd759e49173beeb">~ILayerSupport</a>() {}</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <a class="code" href="_deprecated_8hpp.xhtml#a76fb13a018f8e01087a7ae0eb23509e1">ARMNN_DEPRECATED_MSG</a>(<span class="stringliteral">"Use IsElementwiseUnarySupported instead"</span>)</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a5588d9c90ee688f83eb1df4f9110ceee">IsAbsSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a787fcb2a22d45abc7b75644fd1c45743">IsActivationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a>& descriptor,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a09e005510eccbbfa14bed9205c27523a">IsAdditionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#afb1f9c150c3705ccdff06d3bda0f705d">IsArgMinMaxSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml">ArgMinMaxDescriptor</a>& descriptor,</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a3ebfb6e31ffd51c948ebf4e668ee6a13">IsBatchNormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& mean,</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& var,</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& beta,</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& gamma,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">BatchNormalizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a3a2d1bd9f4db345c6e8cbebe507e1220">IsBatchToSpaceNdSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">BatchToSpaceNdDescriptor</a>& descriptor,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aa9e12845869a571af314feb775bfcf8d">IsComparisonSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a>& descriptor,</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a48bb43166dd8d7a27428a19738c73e54">IsConcatSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*> inputs,</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>& descriptor,</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a7e62e57c8c2b25d2b8b657d6c1bedfce">IsConstantSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a585d0743307644154123b0081c9fddbb">IsConvertFp16ToFp32Supported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aeacc3d08bdf5c5190a2b6d219e28620f">IsConvertFp32ToFp16Supported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a0e8af0ce614d9a30c7398e1aa786d468">IsConvolution2dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a0ec5e547fe4b097ad19b6992e23e267d">IsDebugSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ada2ab8d017b73994f8cdc38c29e0fb60">IsDepthToSpaceSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">DepthToSpaceDescriptor</a>& descriptor,</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a38078f04a0521624c71262291252dedd">IsDepthwiseConvolutionSupported</a>(</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aeff699f129c41cdd7b4a49569aa4fffb">IsDequantizeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a1aecac7de9b71cfaaadecda47edc56c0">IsDetectionPostProcessSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& <a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings</a>,</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& <a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#a0348e6bb67ace72535bd105219bb6237">scores</a>,</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& <a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#ac0981848e4ae57729f14f72bd4caa9f8">anchors</a>,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& detectionBoxes,</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& detectionClasses,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& detectionScores,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& numDetections,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml">DetectionPostProcessDescriptor</a>& descriptor,</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> =0;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4bee87b6d7a78ee4a3d6cecc7ad8a77a">IsDilatedDepthwiseConvolutionSupported</a>(</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aca2cc0ccc6a468bc5374fa2839258802">IsDivisionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4a6603d415b4e963cacd9ede220b8119">IsElementwiseUnarySupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a>& descriptor,</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="_deprecated_8hpp.xhtml#a76fb13a018f8e01087a7ae0eb23509e1">ARMNN_DEPRECATED_MSG</a>(<span class="stringliteral">"Use IsComparisonSupported instead"</span>)</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a26dde72aa68a605bd5cf89b85cde8650">IsEqualSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aa467d4de09eb4bd51e02122fb3d6e7c0">IsFakeQuantizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fake_quantization_descriptor.xhtml">FakeQuantizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a0683efc6cc81f888eccab0c637674f7a">IsFloorSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> </div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#af5f8d5b50e69b8003357895450ee57bd">IsFullyConnectedSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& biases,</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml">FullyConnectedDescriptor</a>& descriptor,</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a95a7b2d7b19575a98f3548f37bff2540">IsGatherSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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="_deprecated_8hpp.xhtml#a76fb13a018f8e01087a7ae0eb23509e1">ARMNN_DEPRECATED_MSG</a>(<span class="stringliteral">"Use IsComparisonSupported instead"</span>)</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#af623e15fff281da8bb4bad997151c9ab">IsGreaterSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& ouput,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> </div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a302869e220458e13c7e82c2671e5280c">IsInputSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> </div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a7e16e155e7f7445789e68424a9a870c5">IsInstanceNormalizationSupported</a>(</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml">InstanceNormalizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#af189848668211807688a56aac54978bf">IsL2NormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml">L2NormalizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab5d791a3bc50549b3805a982bf4959d8">IsLogSoftmaxSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">LogSoftmaxDescriptor</a>& descriptor,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> </div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a5942cec16b5719b59c4e80bc8be90342">IsLstmSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outputStateIn,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& cellStateIn,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& scratchBuffer,</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outputStateOut,</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& cellStateOut,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a>& descriptor,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a>& paramsInfo,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> </div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aeeb17ef5763db43063b6e98d0a692e1f">IsMaximumSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> </div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4fc33395e8e392ba59eedcb721dc6d3d">IsMeanSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml">MeanDescriptor</a>& descriptor,</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aef4d9a4b703b1a15558633b5802c663b">IsMemCopySupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#af0cb232661c1e1bf9d253f396b6b4f4c">IsMemImportSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> </div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ad30162aa20f5484d48982537fdd42a04">IsMergeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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>  <a class="code" href="_deprecated_8hpp.xhtml#a76fb13a018f8e01087a7ae0eb23509e1">ARMNN_DEPRECATED_MSG</a>(<span class="stringliteral">"Use IsConcatSupported instead"</span>)</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a429c2f3a583e59b1215d2902cd55edff">IsMergerSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*> inputs,</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>& descriptor,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a76e472f67b857c5619c1751e0cd20a5c">IsMinimumSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& ouput,</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> </div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aacb0b7d0aa3b7c495981f3e7ae6108e5">IsMultiplicationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> </div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a09beb238888a3795a11e28b2f439a2c7">IsNormalizationSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml">NormalizationDescriptor</a>& descriptor,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> </div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a3852eb9f8af92ee3dc7ddcbb3590d9e2">IsOutputSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a521e7f59a1ca7699c5182245fb52fb68">IsPadSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a>& descriptor,</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> </div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aaa4433e57a90fc106e9ca227cbf21acc">IsPermuteSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml">PermuteDescriptor</a>& descriptor,</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> </div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a7d355424568d0383d53da623d88e4002">IsPooling2dSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml">Pooling2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> </div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a645dc9fbc6b5da2c9b3124eea544044e">IsPreCompiledSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pre_compiled_descriptor.xhtml">PreCompiledDescriptor</a>& descriptor,</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a8356620b4723ae24b897940a44cca12e">IsPreluSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& alpha,</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a2e700405a95007bf3cdcfee4edd5faf6">IsQuantizeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> </div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#acbd0bc4ae2c7dafaa43a1f4558dec9e9">IsQuantizedLstmSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& previousCellStateIn,</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& previousOutputIn,</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& cellStateOut,</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml">QuantizedLstmInputParamsInfo</a>& paramsInfo,</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a5b4e5775549210130fda73dbf9ff5805">IsReshapeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml">ReshapeDescriptor</a>& descriptor,</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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="_deprecated_8hpp.xhtml#a76fb13a018f8e01087a7ae0eb23509e1">ARMNN_DEPRECATED_MSG</a>(<span class="stringliteral">"Use IsResizeSupported instead"</span>)</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a0ea3f88552957d51ecf39aa084493dad">IsResizeBilinearSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> </div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a139c7fa3f4d25a1f8e63c4db26ed882a">IsResizeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml">ResizeDescriptor</a>& descriptor,</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> </div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <a class="code" href="_deprecated_8hpp.xhtml#a76fb13a018f8e01087a7ae0eb23509e1">ARMNN_DEPRECATED_MSG</a>(<span class="stringliteral">"Use IsElementwiseUnarySupported instead"</span>)</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a1f421ed5bcee87cd4bb2fcccd8d79400">IsRsqrtSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span> </div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a5176e7f87f418561082d8c6310215cf7">IsSliceSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_slice_descriptor.xhtml">SliceDescriptor</a>& descriptor,</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> </div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a0653b070e13f6003314ff70c83dfdf82">IsSoftmaxSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">SoftmaxDescriptor</a>& descriptor,</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span> </div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a72900e5d5a48a3f5bab04b9bc53ad4cb">IsSpaceToBatchNdSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">SpaceToBatchNdDescriptor</a>& descriptor,</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span> </div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aad5b9a346998e69ce24668f474e8a41f">IsSpaceToDepthSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a>& descriptor,</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> </div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <a class="code" href="_deprecated_8hpp.xhtml#a76fb13a018f8e01087a7ae0eb23509e1">ARMNN_DEPRECATED_MSG</a>(<span class="stringliteral">"Use IsSplitterSupported with outputs instead"</span>)</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a3475373a82a2dcea43f49157e72c2d1e">IsSplitterSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>& descriptor,</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span> </div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a3475373a82a2dcea43f49157e72c2d1e">IsSplitterSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keyword">const</span> std::vector<std::reference_wrapper<TensorInfo>>& outputs,</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>& descriptor,</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span> </div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a3c875cde7fb98d33b415361653fe170e">IsStackSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*>& inputs,</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_descriptor.xhtml">StackDescriptor</a>& descriptor,</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#ab44a343d43671032ae1395b06508ac36">IsStandInSupported</a>(<span class="keyword">const</span> std::vector<const TensorInfo*>& inputs,</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keyword">const</span> std::vector<const TensorInfo*>& outputs,</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml">StandInDescriptor</a>& descriptor,</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> </div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span> </div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#aec35c53952d13100216d2a2b9f63b98c">IsStridedSliceSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml">StridedSliceDescriptor</a>& descriptor,</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</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>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#af76dce64a3338e037bb8eb41e5a219aa">IsSubtractionSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span> </div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#af05157bd75bb2a7a3a942be85945321a">IsSwitchSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input0,</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input1,</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output0,</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output1,</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> </div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a0cd42985d5a85895204331e19d2e4c75">IsTransposeConvolution2dSupported</a>(</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">TransposeConvolution2dDescriptor</a>& descriptor,</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weights,</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a>& biases,</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span> </div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_layer_support.xhtml#a4d18c121fd6e27cceda23776e3418be5">IsTransposeSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml">TransposeDescriptor</a>& descriptor,</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<std::string&></a> reasonIfUnsupported = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>()) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span> }; <span class="comment">// class ILayerSupport</span></div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span> </div><div class="line"><a name="l00379"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a11fa919c11fe46aad613b2e960fcfe90"> 379</a></span> <span class="keyword">using</span> <a class="code" href="namespacearmnn.xhtml#a11fa919c11fe46aad613b2e960fcfe90">ILayerSupportSharedPtr</a> = std::shared_ptr<ILayerSupport>;</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> } <span class="comment">// namespace armnn</span></div><div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a4d18c121fd6e27cceda23776e3418be5"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a4d18c121fd6e27cceda23776e3418be5">armnn::ILayerSupport::IsTransposeSupported</a></div><div class="ttdeci">virtual bool IsTransposeSupported(const TensorInfo &input, const TensorInfo &output, const TransposeDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a0e8af0ce614d9a30c7398e1aa786d468"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a0e8af0ce614d9a30c7398e1aa786d468">armnn::ILayerSupport::IsConvolution2dSupported</a></div><div class="ttdeci">virtual bool IsConvolution2dSupported(const TensorInfo &input, const TensorInfo &output, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a7e16e155e7f7445789e68424a9a870c5"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a7e16e155e7f7445789e68424a9a870c5">armnn::ILayerSupport::IsInstanceNormalizationSupported</a></div><div class="ttdeci">virtual bool IsInstanceNormalizationSupported(const TensorInfo &input, const TensorInfo &output, const InstanceNormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_views_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml">armnn::ViewsDescriptor</a></div><div class="ttdoc">A ViewsDescriptor for the SplitterLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00190">Descriptors.hpp:190</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">armnn::TransposeConvolution2dDescriptor</a></div><div class="ttdoc">A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01079">Descriptors.hpp:1079</a></div></div> +<div class="ttc" id="classarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00270">Optional.hpp:270</a></div></div> +<div class="ttc" id="structarmnn_1_1_reshape_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.xhtml">armnn::ReshapeDescriptor</a></div><div class="ttdoc">A ReshapeDescriptor for the ReshapeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00758">Descriptors.hpp:758</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_ada2ab8d017b73994f8cdc38c29e0fb60"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#ada2ab8d017b73994f8cdc38c29e0fb60">armnn::ILayerSupport::IsDepthToSpaceSupported</a></div><div class="ttdeci">virtual bool IsDepthToSpaceSupported(const TensorInfo &input, const TensorInfo &output, const DepthToSpaceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a0ea3f88552957d51ecf39aa084493dad"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a0ea3f88552957d51ecf39aa084493dad">armnn::ILayerSupport::IsResizeBilinearSupported</a></div><div class="ttdeci">virtual bool IsResizeBilinearSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_af0cb232661c1e1bf9d253f396b6b4f4c"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#af0cb232661c1e1bf9d253f396b6b4f4c">armnn::ILayerSupport::IsMemImportSupported</a></div><div class="ttdeci">virtual bool IsMemImportSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="structarmnn_1_1_comparison_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml">armnn::ComparisonDescriptor</a></div><div class="ttdoc">A ComparisonDescriptor for the ComparisonLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00062">Descriptors.hpp:62</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a0683efc6cc81f888eccab0c637674f7a"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a0683efc6cc81f888eccab0c637674f7a">armnn::ILayerSupport::IsFloorSupported</a></div><div class="ttdeci">virtual bool IsFloorSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00392">Descriptors.hpp:392</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a585d0743307644154123b0081c9fddbb"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a585d0743307644154123b0081c9fddbb">armnn::ILayerSupport::IsConvertFp16ToFp32Supported</a></div><div class="ttdeci">virtual bool IsConvertFp16ToFp32Supported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="namespacearmnn_xhtml_a11fa919c11fe46aad613b2e960fcfe90"><div class="ttname"><a href="namespacearmnn.xhtml#a11fa919c11fe46aad613b2e960fcfe90">armnn::ILayerSupportSharedPtr</a></div><div class="ttdeci">std::shared_ptr< ILayerSupport > ILayerSupportSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00379">ILayerSupport.hpp:379</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_ad30162aa20f5484d48982537fdd42a04"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#ad30162aa20f5484d48982537fdd42a04">armnn::ILayerSupport::IsMergeSupported</a></div><div class="ttdeci">virtual bool IsMergeSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="_quantized_lstm_params_8hpp_xhtml"><div class="ttname"><a href="_quantized_lstm_params_8hpp.xhtml">QuantizedLstmParams.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a0cd42985d5a85895204331e19d2e4c75"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a0cd42985d5a85895204331e19d2e4c75">armnn::ILayerSupport::IsTransposeConvolution2dSupported</a></div><div class="ttdeci">virtual bool IsTransposeConvolution2dSupported(const TensorInfo &input, const TensorInfo &output, const TransposeConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_af623e15fff281da8bb4bad997151c9ab"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#af623e15fff281da8bb4bad997151c9ab">armnn::ILayerSupport::IsGreaterSupported</a></div><div class="ttdeci">virtual bool IsGreaterSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &ouput, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a429c2f3a583e59b1215d2902cd55edff"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a429c2f3a583e59b1215d2902cd55edff">armnn::ILayerSupport::IsMergerSupported</a></div><div class="ttdeci">virtual bool IsMergerSupported(const std::vector< const TensorInfo *> inputs, const TensorInfo &output, const OriginsDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_aeeb17ef5763db43063b6e98d0a692e1f"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#aeeb17ef5763db43063b6e98d0a692e1f">armnn::ILayerSupport::IsMaximumSupported</a></div><div class="ttdeci">virtual bool IsMaximumSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml">armnn::ILayerSupport</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00023">ILayerSupport.hpp:23</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a0ec5e547fe4b097ad19b6992e23e267d"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a0ec5e547fe4b097ad19b6992e23e267d">armnn::ILayerSupport::IsDebugSupported</a></div><div class="ttdeci">virtual bool IsDebugSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a48bb43166dd8d7a27428a19738c73e54"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a48bb43166dd8d7a27428a19738c73e54">armnn::ILayerSupport::IsConcatSupported</a></div><div class="ttdeci">virtual bool IsConcatSupported(const std::vector< const TensorInfo *> inputs, const TensorInfo &output, const OriginsDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="_neon_end_to_end_tests_8cpp_xhtml_ada422a73ac4e68bcb1b1b1f0b44028d9"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.xhtml#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings</a></div><div class="ttdeci">std::vector< float > boxEncodings({ 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, -1.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f })</div></div> +<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div> +<div class="ttc" id="_lstm_params_8hpp_xhtml"><div class="ttname"><a href="_lstm_params_8hpp.xhtml">LstmParams.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a9e7f4f28576904804cd759e49173beeb"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a9e7f4f28576904804cd759e49173beeb">armnn::ILayerSupport::~ILayerSupport</a></div><div class="ttdeci">virtual ~ILayerSupport()</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00027">ILayerSupport.hpp:27</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a3475373a82a2dcea43f49157e72c2d1e"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a3475373a82a2dcea43f49157e72c2d1e">armnn::ILayerSupport::IsSplitterSupported</a></div><div class="ttdeci">virtual bool IsSplitterSupported(const TensorInfo &input, const ViewsDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml">armnn::SpaceToDepthDescriptor</a></div><div class="ttdoc">A SpaceToDepthDescriptor for the SpaceToDepthLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00810">Descriptors.hpp:810</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a95a7b2d7b19575a98f3548f37bff2540"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a95a7b2d7b19575a98f3548f37bff2540">armnn::ILayerSupport::IsGatherSupported</a></div><div class="ttdeci">virtual bool IsGatherSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_aacb0b7d0aa3b7c495981f3e7ae6108e5"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#aacb0b7d0aa3b7c495981f3e7ae6108e5">armnn::ILayerSupport::IsMultiplicationSupported</a></div><div class="ttdeci">virtual bool IsMultiplicationSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">armnn::BatchToSpaceNdDescriptor</a></div><div class="ttdoc">A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00657">Descriptors.hpp:657</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a3a2d1bd9f4db345c6e8cbebe507e1220"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a3a2d1bd9f4db345c6e8cbebe507e1220">armnn::ILayerSupport::IsBatchToSpaceNdSupported</a></div><div class="ttdeci">virtual bool IsBatchToSpaceNdSupported(const TensorInfo &input, const TensorInfo &output, const BatchToSpaceNdDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml">armnn::ResizeDescriptor</a></div><div class="ttdoc">A ResizeDescriptor for the ResizeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00724">Descriptors.hpp:724</a></div></div> +<div class="ttc" id="structarmnn_1_1_stack_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml">armnn::StackDescriptor</a></div><div class="ttdoc">A StackDescriptor for the StackLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00950">Descriptors.hpp:950</a></div></div> +<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml">armnn::PadDescriptor</a></div><div class="ttdoc">A PadDescriptor for the PadLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00901">Descriptors.hpp:901</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a5942cec16b5719b59c4e80bc8be90342"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a5942cec16b5719b59c4e80bc8be90342">armnn::ILayerSupport::IsLstmSupported</a></div><div class="ttdeci">virtual bool IsLstmSupported(const TensorInfo &input, const TensorInfo &outputStateIn, const TensorInfo &cellStateIn, const TensorInfo &scratchBuffer, const TensorInfo &outputStateOut, const TensorInfo &cellStateOut, const TensorInfo &output, const LstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a4a6603d415b4e963cacd9ede220b8119"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a4a6603d415b4e963cacd9ede220b8119">armnn::ILayerSupport::IsElementwiseUnarySupported</a></div><div class="ttdeci">virtual bool IsElementwiseUnarySupported(const TensorInfo &input, const TensorInfo &output, const ElementwiseUnaryDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a0653b070e13f6003314ff70c83dfdf82"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a0653b070e13f6003314ff70c83dfdf82">armnn::ILayerSupport::IsSoftmaxSupported</a></div><div class="ttdeci">virtual bool IsSoftmaxSupported(const TensorInfo &input, const TensorInfo &output, const SoftmaxDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_lstm_input_params_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml">armnn::LstmInputParamsInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00063">LstmParams.hpp:63</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a5176e7f87f418561082d8c6310215cf7"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a5176e7f87f418561082d8c6310215cf7">armnn::ILayerSupport::IsSliceSupported</a></div><div class="ttdeci">virtual bool IsSliceSupported(const TensorInfo &input, const TensorInfo &output, const SliceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_ab44a343d43671032ae1395b06508ac36"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#ab44a343d43671032ae1395b06508ac36">armnn::ILayerSupport::IsStandInSupported</a></div><div class="ttdeci">virtual bool IsStandInSupported(const std::vector< const TensorInfo *> &inputs, const std::vector< const TensorInfo *> &outputs, const StandInDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml">armnn::LstmDescriptor</a></div><div class="ttdoc">An LstmDescriptor for the LstmLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00837">Descriptors.hpp:837</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a645dc9fbc6b5da2c9b3124eea544044e"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a645dc9fbc6b5da2c9b3124eea544044e">armnn::ILayerSupport::IsPreCompiledSupported</a></div><div class="ttdeci">virtual bool IsPreCompiledSupported(const TensorInfo &input, const PreCompiledDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a3ebfb6e31ffd51c948ebf4e668ee6a13"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a3ebfb6e31ffd51c948ebf4e668ee6a13">armnn::ILayerSupport::IsBatchNormalizationSupported</a></div><div class="ttdeci">virtual bool IsBatchNormalizationSupported(const TensorInfo &input, const TensorInfo &output, const TensorInfo &mean, const TensorInfo &var, const TensorInfo &beta, const TensorInfo &gamma, const BatchNormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="_optional_8hpp_xhtml"><div class="ttname"><a href="_optional_8hpp.xhtml">Optional.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a521e7f59a1ca7699c5182245fb52fb68"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a521e7f59a1ca7699c5182245fb52fb68">armnn::ILayerSupport::IsPadSupported</a></div><div class="ttdeci">virtual bool IsPadSupported(const TensorInfo &input, const TensorInfo &output, const PadDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml">armnn::QuantizedLstmInputParamsInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00119">QuantizedLstmParams.hpp:119</a></div></div> +<div class="ttc" id="structarmnn_1_1_l2_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.xhtml">armnn::L2NormalizationDescriptor</a></div><div class="ttdoc">A L2NormalizationDescriptor for the L2NormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00591">Descriptors.hpp:591</a></div></div> +<div class="ttc" id="structarmnn_1_1_arg_min_max_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml">armnn::ArgMinMaxDescriptor</a></div><div class="ttdoc">An ArgMinMaxDescriptor for ArgMinMaxLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00043">Descriptors.hpp:43</a></div></div> +<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml">armnn::OriginsDescriptor</a></div><div class="ttdoc">An OriginsDescriptor for the ConcatLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00147">Descriptors.hpp:147</a></div></div> +<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml">armnn::FullyConnectedDescriptor</a></div><div class="ttdoc">A FullyConnectedDescriptor for the FullyConnectedLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00373">Descriptors.hpp:373</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_aaa4433e57a90fc106e9ca227cbf21acc"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#aaa4433e57a90fc106e9ca227cbf21acc">armnn::ILayerSupport::IsPermuteSupported</a></div><div class="ttdeci">virtual bool IsPermuteSupported(const TensorInfo &input, const TensorInfo &output, const PermuteDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_ab5d791a3bc50549b3805a982bf4959d8"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#ab5d791a3bc50549b3805a982bf4959d8">armnn::ILayerSupport::IsLogSoftmaxSupported</a></div><div class="ttdeci">virtual bool IsLogSoftmaxSupported(const TensorInfo &input, const TensorInfo &output, const LogSoftmaxDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_aef4d9a4b703b1a15558633b5802c663b"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#aef4d9a4b703b1a15558633b5802c663b">armnn::ILayerSupport::IsMemCopySupported</a></div><div class="ttdeci">virtual bool IsMemCopySupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a4fc33395e8e392ba59eedcb721dc6d3d"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a4fc33395e8e392ba59eedcb721dc6d3d">armnn::ILayerSupport::IsMeanSupported</a></div><div class="ttdeci">virtual bool IsMeanSupported(const TensorInfo &input, const TensorInfo &output, const MeanDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a302869e220458e13c7e82c2671e5280c"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a302869e220458e13c7e82c2671e5280c">armnn::ILayerSupport::IsInputSupported</a></div><div class="ttdeci">virtual bool IsInputSupported(const TensorInfo &input, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a5b4e5775549210130fda73dbf9ff5805"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a5b4e5775549210130fda73dbf9ff5805">armnn::ILayerSupport::IsReshapeSupported</a></div><div class="ttdeci">virtual bool IsReshapeSupported(const TensorInfo &input, const TensorInfo &output, const ReshapeDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_fake_quantization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.xhtml">armnn::FakeQuantizationDescriptor</a></div><div class="ttdoc">A FakeQuantizationDescriptor for the FakeQuantizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00688">Descriptors.hpp:688</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a787fcb2a22d45abc7b75644fd1c45743"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a787fcb2a22d45abc7b75644fd1c45743">armnn::ILayerSupport::IsActivationSupported</a></div><div class="ttdeci">virtual bool IsActivationSupported(const TensorInfo &input, const TensorInfo &output, const ActivationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a38078f04a0521624c71262291252dedd"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a38078f04a0521624c71262291252dedd">armnn::ILayerSupport::IsDepthwiseConvolutionSupported</a></div><div class="ttdeci">virtual bool IsDepthwiseConvolutionSupported(const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_stand_in_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml">armnn::StandInDescriptor</a></div><div class="ttdoc">A StandInDescriptor for the StandIn layer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00980">Descriptors.hpp:980</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_aca2cc0ccc6a468bc5374fa2839258802"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#aca2cc0ccc6a468bc5374fa2839258802">armnn::ILayerSupport::IsDivisionSupported</a></div><div class="ttdeci">virtual bool IsDivisionSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_af189848668211807688a56aac54978bf"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#af189848668211807688a56aac54978bf">armnn::ILayerSupport::IsL2NormalizationSupported</a></div><div class="ttdeci">virtual bool IsL2NormalizationSupported(const TensorInfo &input, const TensorInfo &output, const L2NormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00020">Descriptors.hpp:20</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a2e700405a95007bf3cdcfee4edd5faf6"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a2e700405a95007bf3cdcfee4edd5faf6">armnn::ILayerSupport::IsQuantizeSupported</a></div><div class="ttdeci">virtual bool IsQuantizeSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_slice_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml">armnn::SliceDescriptor</a></div><div class="ttdoc">A SliceDescriptor for the SliceLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00927">Descriptors.hpp:927</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a1f421ed5bcee87cd4bb2fcccd8d79400"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a1f421ed5bcee87cd4bb2fcccd8d79400">armnn::ILayerSupport::IsRsqrtSupported</a></div><div class="ttdeci">virtual bool IsRsqrtSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a7d355424568d0383d53da623d88e4002"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a7d355424568d0383d53da623d88e4002">armnn::ILayerSupport::IsPooling2dSupported</a></div><div class="ttdeci">virtual bool IsPooling2dSupported(const TensorInfo &input, const TensorInfo &output, const Pooling2dDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_afb1f9c150c3705ccdff06d3bda0f705d"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#afb1f9c150c3705ccdff06d3bda0f705d">armnn::ILayerSupport::IsArgMinMaxSupported</a></div><div class="ttdeci">virtual bool IsArgMinMaxSupported(const TensorInfo &input, const TensorInfo &output, const ArgMinMaxDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a8356620b4723ae24b897940a44cca12e"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a8356620b4723ae24b897940a44cca12e">armnn::ILayerSupport::IsPreluSupported</a></div><div class="ttdeci">virtual bool IsPreluSupported(const TensorInfo &input, const TensorInfo &alpha, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">armnn::SpaceToBatchNdDescriptor</a></div><div class="ttdoc">A SpaceToBatchNdDescriptor for the SpaceToBatchNdLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00778">Descriptors.hpp:778</a></div></div> +<div class="ttc" id="_deprecated_8hpp_xhtml"><div class="ttname"><a href="_deprecated_8hpp.xhtml">Deprecated.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a3c875cde7fb98d33b415361653fe170e"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a3c875cde7fb98d33b415361653fe170e">armnn::ILayerSupport::IsStackSupported</a></div><div class="ttdeci">virtual bool IsStackSupported(const std::vector< const TensorInfo *> &inputs, const TensorInfo &output, const StackDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_empty_optional_xhtml"><div class="ttname"><a href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a></div><div class="ttdoc">EmptyOptional is used to initialize the Optional class in case we want to have default value for an O...</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00032">Optional.hpp:32</a></div></div> +<div class="ttc" id="structarmnn_1_1_elementwise_unary_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">armnn::ElementwiseUnaryDescriptor</a></div><div class="ttdoc">A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00082">Descriptors.hpp:82</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_aab2a487bc88047443d8a0f87c3c40b8d"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#aab2a487bc88047443d8a0f87c3c40b8d">armnn::ILayerSupport::ILayerSupport</a></div><div class="ttdeci">ILayerSupport()</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_support_8hpp_source.xhtml#l00026">ILayerSupport.hpp:26</a></div></div> +<div class="ttc" id="_neon_end_to_end_tests_8cpp_xhtml_a0348e6bb67ace72535bd105219bb6237"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.xhtml#a0348e6bb67ace72535bd105219bb6237">scores</a></div><div class="ttdeci">std::vector< float > scores({ 0.0f, 0.9f, 0.8f, 0.0f, 0.75f, 0.72f, 0.0f, 0.6f, 0.5f, 0.0f, 0.93f, 0.95f, 0.0f, 0.5f, 0.4f, 0.0f, 0.3f, 0.2f })</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_aa467d4de09eb4bd51e02122fb3d6e7c0"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#aa467d4de09eb4bd51e02122fb3d6e7c0">armnn::ILayerSupport::IsFakeQuantizationSupported</a></div><div class="ttdeci">virtual bool IsFakeQuantizationSupported(const TensorInfo &input, const FakeQuantizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a5588d9c90ee688f83eb1df4f9110ceee"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a5588d9c90ee688f83eb1df4f9110ceee">armnn::ILayerSupport::IsAbsSupported</a></div><div class="ttdeci">virtual bool IsAbsSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_aec35c53952d13100216d2a2b9f63b98c"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#aec35c53952d13100216d2a2b9f63b98c">armnn::ILayerSupport::IsStridedSliceSupported</a></div><div class="ttdeci">virtual bool IsStridedSliceSupported(const TensorInfo &input, const TensorInfo &output, const StridedSliceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_acbd0bc4ae2c7dafaa43a1f4558dec9e9"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#acbd0bc4ae2c7dafaa43a1f4558dec9e9">armnn::ILayerSupport::IsQuantizedLstmSupported</a></div><div class="ttdeci">virtual bool IsQuantizedLstmSupported(const TensorInfo &input, const TensorInfo &previousCellStateIn, const TensorInfo &previousOutputIn, const TensorInfo &cellStateOut, const TensorInfo &output, const QuantizedLstmInputParamsInfo &paramsInfo, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a09e005510eccbbfa14bed9205c27523a"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a09e005510eccbbfa14bed9205c27523a">armnn::ILayerSupport::IsAdditionSupported</a></div><div class="ttdeci">virtual bool IsAdditionSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_mean_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml">armnn::MeanDescriptor</a></div><div class="ttdoc">A MeanDescriptor for the MeanLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00877">Descriptors.hpp:877</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a09beb238888a3795a11e28b2f439a2c7"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a09beb238888a3795a11e28b2f439a2c7">armnn::ILayerSupport::IsNormalizationSupported</a></div><div class="ttdeci">virtual bool IsNormalizationSupported(const TensorInfo &input, const TensorInfo &output, const NormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a26dde72aa68a605bd5cf89b85cde8650"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a26dde72aa68a605bd5cf89b85cde8650">armnn::ILayerSupport::IsEqualSupported</a></div><div class="ttdeci">virtual bool IsEqualSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_transpose_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml">armnn::TransposeDescriptor</a></div><div class="ttdoc">A TransposeDescriptor for the TransposeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01123">Descriptors.hpp:1123</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml">armnn::StridedSliceDescriptor</a></div><div class="ttdoc">A StridedSliceDescriptor for the StridedSliceLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01002">Descriptors.hpp:1002</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_af05157bd75bb2a7a3a942be85945321a"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#af05157bd75bb2a7a3a942be85945321a">armnn::ILayerSupport::IsSwitchSupported</a></div><div class="ttdeci">virtual bool IsSwitchSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output0, const TensorInfo &output1, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_aeacc3d08bdf5c5190a2b6d219e28620f"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#aeacc3d08bdf5c5190a2b6d219e28620f">armnn::ILayerSupport::IsConvertFp32ToFp16Supported</a></div><div class="ttdeci">virtual bool IsConvertFp32ToFp16Supported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="_deprecated_8hpp_xhtml_a76fb13a018f8e01087a7ae0eb23509e1"><div class="ttname"><a href="_deprecated_8hpp.xhtml#a76fb13a018f8e01087a7ae0eb23509e1">ARMNN_DEPRECATED_MSG</a></div><div class="ttdeci">#define ARMNN_DEPRECATED_MSG(message)</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.xhtml#l00043">Deprecated.hpp:43</a></div></div> +<div class="ttc" id="structarmnn_1_1_pre_compiled_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pre_compiled_descriptor.xhtml">armnn::PreCompiledDescriptor</a></div><div class="ttdoc">A PreCompiledDescriptor for the PreCompiledLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01066">Descriptors.hpp:1066</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a72900e5d5a48a3f5bab04b9bc53ad4cb"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a72900e5d5a48a3f5bab04b9bc53ad4cb">armnn::ILayerSupport::IsSpaceToBatchNdSupported</a></div><div class="ttdeci">virtual bool IsSpaceToBatchNdSupported(const TensorInfo &input, const TensorInfo &output, const SpaceToBatchNdDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="_descriptors_fwd_8hpp_xhtml"><div class="ttname"><a href="_descriptors_fwd_8hpp.xhtml">DescriptorsFwd.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00313">Descriptors.hpp:313</a></div></div> +<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml">armnn::NormalizationDescriptor</a></div><div class="ttdoc">A NormalizationDescriptor for the NormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00551">Descriptors.hpp:551</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_af76dce64a3338e037bb8eb41e5a219aa"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#af76dce64a3338e037bb8eb41e5a219aa">armnn::ILayerSupport::IsSubtractionSupported</a></div><div class="ttdeci">virtual bool IsSubtractionSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml">armnn::DetectionPostProcessDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00495">Descriptors.hpp:495</a></div></div> +<div class="ttc" id="structarmnn_1_1_instance_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml">armnn::InstanceNormalizationDescriptor</a></div><div class="ttdoc">An InstanceNormalizationDescriptor for InstanceNormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00629">Descriptors.hpp:629</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_af5f8d5b50e69b8003357895450ee57bd"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#af5f8d5b50e69b8003357895450ee57bd">armnn::ILayerSupport::IsFullyConnectedSupported</a></div><div class="ttdeci">virtual bool IsFullyConnectedSupported(const TensorInfo &input, const TensorInfo &output, const TensorInfo &weights, const TensorInfo &biases, const FullyConnectedDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_aeff699f129c41cdd7b4a49569aa4fffb"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#aeff699f129c41cdd7b4a49569aa4fffb">armnn::ILayerSupport::IsDequantizeSupported</a></div><div class="ttdeci">virtual bool IsDequantizeSupported(const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a3852eb9f8af92ee3dc7ddcbb3590d9e2"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a3852eb9f8af92ee3dc7ddcbb3590d9e2">armnn::ILayerSupport::IsOutputSupported</a></div><div class="ttdeci">virtual bool IsOutputSupported(const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a139c7fa3f4d25a1f8e63c4db26ed882a"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a139c7fa3f4d25a1f8e63c4db26ed882a">armnn::ILayerSupport::IsResizeSupported</a></div><div class="ttdeci">virtual bool IsResizeSupported(const TensorInfo &input, const TensorInfo &output, const ResizeDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_softmax_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::SoftmaxDescriptor</a></div><div class="ttdoc">A SoftmaxDescriptor for the SoftmaxLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00123">Descriptors.hpp:123</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a7e62e57c8c2b25d2b8b657d6c1bedfce"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a7e62e57c8c2b25d2b8b657d6c1bedfce">armnn::ILayerSupport::IsConstantSupported</a></div><div class="ttdeci">virtual bool IsConstantSupported(const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_aa9e12845869a571af314feb775bfcf8d"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#aa9e12845869a571af314feb775bfcf8d">armnn::ILayerSupport::IsComparisonSupported</a></div><div class="ttdeci">virtual bool IsComparisonSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ComparisonDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a4bee87b6d7a78ee4a3d6cecc7ad8a77a"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a4bee87b6d7a78ee4a3d6cecc7ad8a77a">armnn::ILayerSupport::IsDilatedDepthwiseConvolutionSupported</a></div><div class="ttdeci">virtual bool IsDilatedDepthwiseConvolutionSupported(const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">armnn::DepthwiseConvolution2dDescriptor</a></div><div class="ttdoc">A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00444">Descriptors.hpp:444</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml">armnn::BatchNormalizationDescriptor</a></div><div class="ttdoc">A BatchNormalizationDescriptor for the BatchNormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00610">Descriptors.hpp:610</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a76e472f67b857c5619c1751e0cd20a5c"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a76e472f67b857c5619c1751e0cd20a5c">armnn::ILayerSupport::IsMinimumSupported</a></div><div class="ttdeci">virtual bool IsMinimumSupported(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &ouput, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_a1aecac7de9b71cfaaadecda47edc56c0"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#a1aecac7de9b71cfaaadecda47edc56c0">armnn::ILayerSupport::IsDetectionPostProcessSupported</a></div><div class="ttdeci">virtual bool IsDetectionPostProcessSupported(const TensorInfo &boxEncodings, const TensorInfo &scores, const TensorInfo &anchors, const TensorInfo &detectionBoxes, const TensorInfo &detectionClasses, const TensorInfo &detectionScores, const TensorInfo &numDetections, const DetectionPostProcessDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +<div class="ttc" id="structarmnn_1_1_permute_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml">armnn::PermuteDescriptor</a></div><div class="ttdoc">A PermuteDescriptor for the PermuteLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00102">Descriptors.hpp:102</a></div></div> +<div class="ttc" id="_neon_end_to_end_tests_8cpp_xhtml_ac0981848e4ae57729f14f72bd4caa9f8"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.xhtml#ac0981848e4ae57729f14f72bd4caa9f8">anchors</a></div><div class="ttdeci">std::vector< float > anchors({ 0.5f, 0.5f, 1.0f, 1.0f, 0.5f, 0.5f, 1.0f, 1.0f, 0.5f, 0.5f, 1.0f, 1.0f, 0.5f, 10.5f, 1.0f, 1.0f, 0.5f, 10.5f, 1.0f, 1.0f, 0.5f, 100.5f, 1.0f, 1.0f })</div></div> +<div class="ttc" id="classarmnn_1_1_i_layer_support_xhtml_aad5b9a346998e69ce24668f474e8a41f"><div class="ttname"><a href="classarmnn_1_1_i_layer_support.xhtml#aad5b9a346998e69ce24668f474e8a41f">armnn::ILayerSupport::IsSpaceToDepthSupported</a></div><div class="ttdeci">virtual bool IsSpaceToDepthSupported(const TensorInfo &input, const TensorInfo &output, const SpaceToDepthDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const =0</div></div> +</div><!-- fragment --></div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_d44c64559bbebec7f509842c48db8b23.xhtml">include</a></li><li class="navelem"><a class="el" href="dir_2b72cc348e06937955e62ebdd8a13436.xhtml">armnn</a></li><li class="navelem"><a class="el" href="_i_layer_support_8hpp.xhtml">ILayerSupport.hpp</a></li> + <li class="footer">Generated on Fri Mar 13 2020 16:09:08 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |