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diff --git a/20.02/_descriptors_8hpp_source.xhtml b/20.02/_descriptors_8hpp_source.xhtml new file mode 100644 index 0000000000..934bce97cf --- /dev/null +++ b/20.02/_descriptors_8hpp_source.xhtml @@ -0,0 +1,361 @@ +<!-- 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/Descriptors.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('_descriptors_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">Descriptors.hpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_descriptors_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">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">DescriptorsFwd.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <cstdint></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <initializer_list></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include "<a class="code" href="_tensor_8hpp.xhtml">Tensor.hpp</a>"</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include "<a class="code" href="_types_8hpp.xhtml">Types.hpp</a>"</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></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="comment"></span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment">/// An ActivationDescriptor for the ActivationLayer.</span></div><div class="line"><a name="l00020"></a><span class="lineno"><a class="line" href="structarmnn_1_1_activation_descriptor.xhtml"> 20</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> {</div><div class="line"><a name="l00022"></a><span class="lineno"><a class="line" href="structarmnn_1_1_activation_descriptor.xhtml#a6c7517bc11f580a0a443940bc5f81775"> 22</a></span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a6c7517bc11f580a0a443940bc5f81775">ActivationDescriptor</a>()</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  : <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>(<a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">ActivationFunction</a>::<a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">Sigmoid</a>)</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  , <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a>(0)</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  , <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a>(0)</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  {}</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> </div><div class="line"><a name="l00028"></a><span class="lineno"><a class="line" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454"> 28</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">ActivationDescriptor</a> &rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> == rhs.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> && <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> == rhs.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> && <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> == rhs.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a>;</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  }</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment"></span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment"> /// @brief The activation function to use</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment"> /// (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square).</span></div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844"> 35</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">ActivationFunction</a> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>;<span class="comment"></span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"> /// Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH).</span></div><div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689"> 37</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a>;<span class="comment"></span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"> /// Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH).</span></div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b"> 39</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a>;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> };</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="comment"></span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="comment">/// An ArgMinMaxDescriptor for ArgMinMaxLayer</span></div><div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="structarmnn_1_1_arg_min_max_descriptor.xhtml"> 43</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml">ArgMinMaxDescriptor</a></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> {</div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a42d192541edb2334e194365b87423b5e"> 45</a></span>  <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a42d192541edb2334e194365b87423b5e">ArgMinMaxDescriptor</a>()</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  : <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a>(<a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeae">ArgMinMaxFunction</a>::<a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">Min</a>)</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  , m_Axis(-1)</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  {}</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a775f60182b6abb1a21c5fb94578eb8db"> 50</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml">ArgMinMaxDescriptor</a> &rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">return</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> == rhs.<a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#ab1ae6f520bb1a4da191a0ae907477f23">m_Function</a> && m_Axis == rhs.<a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a>;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  }</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"></span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"> /// Specify if the function is to find Min or Max.</span></div><div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#ab1ae6f520bb1a4da191a0ae907477f23"> 56</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeae">ArgMinMaxFunction</a> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#ab1ae6f520bb1a4da191a0ae907477f23">m_Function</a>;<span class="comment"></span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> /// Axis to reduce across the input tensor.</span></div><div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0"> 58</a></span> <span class="comment"></span> <span class="keywordtype">int</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a>;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> };</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"></span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="comment">/// A ComparisonDescriptor for the ComparisonLayer</span></div><div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="structarmnn_1_1_comparison_descriptor.xhtml"> 62</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> {</div><div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="structarmnn_1_1_comparison_descriptor.xhtml#abe82a976e89ae4dd12f3991c167ffed3"> 64</a></span>  <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml#abe82a976e89ae4dd12f3991c167ffed3">ComparisonDescriptor</a>()</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  : <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a>(<a class="code" href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58c">ComparisonOperation</a>::<a class="code" href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58caf5f286e73bda105e538310b3190f75c5">Equal</a>)</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  {}</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="structarmnn_1_1_comparison_descriptor.xhtml#abc1707b90d0ceb3594945256af70c839"> 68</a></span>  <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml#abc1707b90d0ceb3594945256af70c839">ComparisonDescriptor</a>(<a class="code" href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58c">ComparisonOperation</a> operation)</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  : m_Operation(operation)</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  {}</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="structarmnn_1_1_comparison_descriptor.xhtml#a9a22f5f1ccbe51f97fb42a5fbbe12774"> 72</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml">ComparisonDescriptor</a> &rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordflow">return</span> m_Operation == rhs.<a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml#a865dc4f43cb0ff01a1dcf78036912fd1">m_Operation</a>;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  }</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="comment"></span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="comment"> /// Specifies the comparison operation to execute</span></div><div class="line"><a name="l00078"></a><span class="lineno"><a class="line" href="structarmnn_1_1_comparison_descriptor.xhtml#a865dc4f43cb0ff01a1dcf78036912fd1"> 78</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58c">ComparisonOperation</a> <a class="code" href="structarmnn_1_1_comparison_descriptor.xhtml#a865dc4f43cb0ff01a1dcf78036912fd1">m_Operation</a>;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> };</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment"></span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="comment">/// A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer</span></div><div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml"> 82</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> {</div><div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a3f8539a92fa960a194527b03c2183172"> 84</a></span>  <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a3f8539a92fa960a194527b03c2183172">ElementwiseUnaryDescriptor</a>()</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  : <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a>(<a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8">UnaryOperation</a>::<a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">Abs</a>)</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  {}</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"><a class="line" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a6b7d869ff464fce01745b97f89cc1a02"> 88</a></span>  <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a6b7d869ff464fce01745b97f89cc1a02">ElementwiseUnaryDescriptor</a>(<a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8">UnaryOperation</a> operation)</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  : m_Operation(operation)</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  {}</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a58aa3857edb8d4addbbb44510147bb59"> 92</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">ElementwiseUnaryDescriptor</a> &rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">return</span> m_Operation == rhs.<a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#afe768be66897eb3d73284424e3239b23">m_Operation</a>;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  }</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="comment"></span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="comment"> /// Specifies the elementwiseUnary operation to execute</span></div><div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#afe768be66897eb3d73284424e3239b23"> 98</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8">UnaryOperation</a> <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#afe768be66897eb3d73284424e3239b23">m_Operation</a>;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> };</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment"></span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="comment">/// A PermuteDescriptor for the PermuteLayer.</span></div><div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="structarmnn_1_1_permute_descriptor.xhtml"> 102</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_permute_descriptor.xhtml">PermuteDescriptor</a></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> {</div><div class="line"><a name="l00104"></a><span class="lineno"><a class="line" href="structarmnn_1_1_permute_descriptor.xhtml#a89323bcff3f2fad728ddb0ba2673049f"> 104</a></span>  <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#a89323bcff3f2fad728ddb0ba2673049f">PermuteDescriptor</a>()</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  : m_DimMappings{}</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  {}</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00108"></a><span class="lineno"><a class="line" href="structarmnn_1_1_permute_descriptor.xhtml#abaafe52396509f67f8cde6578c75df01"> 108</a></span>  <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#abaafe52396509f67f8cde6578c75df01">PermuteDescriptor</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_permutation_vector.xhtml">PermutationVector</a>& dimMappings)</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  : m_DimMappings(dimMappings)</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  {}</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div><div class="line"><a name="l00112"></a><span class="lineno"><a class="line" href="structarmnn_1_1_permute_descriptor.xhtml#a515ce4ad34d652a553e685ff9abecb33"> 112</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml">PermuteDescriptor</a> &rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">return</span> m_DimMappings.IsEqual(rhs.<a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  }</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="comment"></span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="comment"> /// @brief Indicates how to translate tensor elements from a given source into the target destination, when</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="comment"> /// source and target potentially have different memory layouts e.g. {0U, 3U, 1U, 2U}.</span></div><div class="line"><a name="l00119"></a><span class="lineno"><a class="line" href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f"> 119</a></span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_permutation_vector.xhtml">PermutationVector</a> <a class="code" href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> };</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="comment"></span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="comment">/// A SoftmaxDescriptor for the SoftmaxLayer.</span></div><div class="line"><a name="l00123"></a><span class="lineno"><a class="line" href="structarmnn_1_1_softmax_descriptor.xhtml"> 123</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">SoftmaxDescriptor</a></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> {</div><div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="structarmnn_1_1_softmax_descriptor.xhtml#ab284d1743a879c8762273540c363174e"> 125</a></span>  <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#ab284d1743a879c8762273540c363174e">SoftmaxDescriptor</a>()</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  : m_Beta(1.0f)</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  , m_Axis(-1)</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  {}</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div><div class="line"><a name="l00130"></a><span class="lineno"><a class="line" href="structarmnn_1_1_softmax_descriptor.xhtml#a3b7fdc72f23079437110c764f0533af5"> 130</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">SoftmaxDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordflow">return</span> m_Beta == rhs.<a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a> && m_Axis == rhs.<a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a>;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  }</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="comment"></span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="comment"> /// Exponentiation value.</span></div><div class="line"><a name="l00136"></a><span class="lineno"><a class="line" href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5"> 136</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a>;<span class="comment"></span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="comment"> /// Scalar, defaulted to the last index (-1), specifying the dimension the activation will be performed on.</span></div><div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0"> 138</a></span> <span class="comment"></span> <span class="keywordtype">int</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a>;</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> };</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> <span class="comment"></span></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> <span class="comment">/// A LogSoftmaxDescriptor for the LogSoftmaxLayer</span></div><div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ac14705405cbcdd580df613de6766fe65"> 142</a></span> <span class="comment"></span><span class="keyword">using</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">LogSoftmaxDescriptor</a> = <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">SoftmaxDescriptor</a>;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> <span class="comment"></span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> <span class="comment">/// @brief An OriginsDescriptor for the ConcatLayer.</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> <span class="comment">/// Descriptor to configure the concatenation process. Number of views must be equal to the number of inputs, and</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <span class="comment">/// their order must match - e.g. first view corresponds to the first input, second view to the second input, etc.</span></div><div class="line"><a name="l00147"></a><span class="lineno"><a class="line" href="structarmnn_1_1_origins_descriptor.xhtml"> 147</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> {</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>();</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>(uint32_t numViews, uint32_t numDimensions = 4);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>& other);</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>(<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>&& other);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  ~<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>();</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>  <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>& operator=(<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a> rhs);</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> </div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>& rhs) <span class="keyword">const</span>;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> <span class="comment"></span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> <span class="comment"> /// @Brief Set the view origin coordinates. The arguments are: view, dimension, value.</span></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> <span class="comment"> /// If the view is greater than or equal to GetNumViews(), then the view argument is out of range.</span></div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> <span class="comment"> /// If the coord is greater than or equal to GetNumDimensions(), then the coord argument is out of range.</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> SetViewOriginCoord(uint32_t view, uint32_t coord, uint32_t value);<span class="comment"></span></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> <span class="comment"> /// Get the number of views.</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="comment"></span> uint32_t GetNumViews() <span class="keyword">const</span>;<span class="comment"></span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="comment"> /// Get the number of dimensions.</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="comment"></span> uint32_t GetNumDimensions() <span class="keyword">const</span>;<span class="comment"></span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="comment"> /// Return the view origin at the int value idx.</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> <span class="comment"></span> <span class="keyword">const</span> uint32_t* GetViewOrigin(uint32_t idx) <span class="keyword">const</span>;<span class="comment"></span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="comment"> /// @brief Reorders the viewOrigins in accordance with the indices presented in newOrdering array.</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="comment"> /// The number of views must match number of elements in the new ordering array.</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="comment"></span> <span class="keywordtype">void</span> ReorderOrigins(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>* newOrdering, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numNewOrdering);<span class="comment"></span></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> <span class="comment"> /// Swap the ViewsDescriptor values first and second.</span></div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="comment"></span> <span class="keyword">friend</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#a14d7f180bf51e86850305965c3707e07">swap</a>(<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>& first, <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>& second);<span class="comment"></span></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <span class="comment"> /// Set the concatenation axis value.</span></div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="comment"></span> <span class="keywordtype">void</span> SetConcatAxis(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> concatAxis);<span class="comment"></span></div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> <span class="comment"> /// Get the concatenation axis value.</span></div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> <span class="comment"></span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> GetConcatAxis() <span class="keyword">const</span>;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m_ConcatAxis;</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  uint32_t m_NumViews;</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  uint32_t m_NumDimensions;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  uint32_t** m_ViewOrigins;</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> };</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> <span class="comment"></span></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="comment">/// @brief A ViewsDescriptor for the SplitterLayer.</span></div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> <span class="comment">/// Descriptor to configure the splitting process. Number of Views must be equal to the number of outputs, and</span></div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> <span class="comment">/// their order must match - e.g. first view corresponds to the first output, second view to the second output, etc.</span></div><div class="line"><a name="l00190"></a><span class="lineno"><a class="line" href="structarmnn_1_1_views_descriptor.xhtml"> 190</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a></div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> {</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>(uint32_t numViews, uint32_t numDimensions = 4);</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>& other);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>();</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>(<a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>&& other);</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  ~<a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>();</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> </div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>& operator=(<a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a> rhs);</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> </div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>& rhs) <span class="keyword">const</span>;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> <span class="comment"></span></div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> <span class="comment"> /// @Brief Set the view origin coordinates. The arguments are: view, dimension, value.</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="comment"> /// If the view is greater than or equal to GetNumViews(), then the view argument is out of range.</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> <span class="comment"> /// If the coord is greater than or equal to GetNumDimensions(), then the coord argument is out of range.</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> SetViewOriginCoord(uint32_t view, uint32_t coord, uint32_t value);<span class="comment"></span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> <span class="comment"> /// @brief Set the size of the views. The arguments are: view, dimension, value.</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> <span class="comment"> /// If the view is greater than or equal to GetNumViews(), then the view argument is out of range.</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> <span class="comment"> /// If the coord is greater than or equal to GetNumDimensions(), then the coord argument is out of range.</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> SetViewSize(uint32_t view, uint32_t coord, uint32_t value);</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> <span class="comment"></span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> <span class="comment"> /// Get the number of views.</span></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> <span class="comment"></span> uint32_t GetNumViews() <span class="keyword">const</span>;<span class="comment"></span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> <span class="comment"> /// Get the number of dimensions.</span></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> <span class="comment"></span> uint32_t GetNumDimensions() <span class="keyword">const</span>;<span class="comment"></span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> <span class="comment"> /// Get the view origin at the int value idx.</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> <span class="comment"></span> <span class="keyword">const</span> uint32_t* GetViewOrigin(uint32_t idx) <span class="keyword">const</span>;<span class="comment"></span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> <span class="comment"> /// Get the view sizes at the int value idx.</span></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> <span class="comment"></span> <span class="keyword">const</span> uint32_t* GetViewSizes(uint32_t idx) <span class="keyword">const</span>;<span class="comment"></span></div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> <span class="comment"> /// Get the View Origins</span></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> <span class="comment"></span> <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a>& GetOrigins() <span class="keyword">const</span>;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> <span class="comment"></span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> <span class="comment"> /// Swap the ViewsDescriptor value first and second.</span></div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> <span class="comment"></span> <span class="keyword">friend</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#a14d7f180bf51e86850305965c3707e07">swap</a>(<a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>& first, <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">ViewsDescriptor</a>& second);</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a> m_Origins;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  uint32_t** m_ViewSizes;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> };</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> </div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> <span class="keyword">template</span> <<span class="keyword">typename</span> TensorShapeIt></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> <a class="code" href="_deprecated_8hpp.xhtml#a76fb13a018f8e01087a7ae0eb23509e1">ARMNN_DEPRECATED_MSG</a>(<span class="stringliteral">"Use CreateDescriptorForConcatenation instead"</span>)</div><div class="line"><a name="l00232"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a2fe587812a8dd3e7d7419cbb84a7f4ff"> 232</a></span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a> <a class="code" href="namespacearmnn.xhtml#a2fe587812a8dd3e7d7419cbb84a7f4ff">CreateMergerDescriptorForConcatenation</a>(TensorShapeIt first,</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  TensorShapeIt last,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> concatenationDimension)</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> {</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a733ae6b70d0bfa43433c3e7606992328">CreateDescriptorForConcatenation</a>(first, last, concatenationDimension);</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="comment"></span></div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> <span class="comment">/// @brief Convenience template to create an OriginsDescriptor to use when creating a ConcatLayer for performing</span></div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> <span class="comment">/// concatenation of a number of input tensors.</span></div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> <span class="comment"></span><span class="keyword">template</span> <<span class="keyword">typename</span> TensorShapeIt></div><div class="line"><a name="l00242"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a733ae6b70d0bfa43433c3e7606992328"> 242</a></span> <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a> <a class="code" href="namespacearmnn.xhtml#a733ae6b70d0bfa43433c3e7606992328">CreateDescriptorForConcatenation</a>(TensorShapeIt first,</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  TensorShapeIt last,</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> concatenationDimension)</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> {</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keyword">auto</span> numInputs = std::distance(first, last);</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="keywordflow">if</span> (numInputs < 2)</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  {</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"Concatenation requires at least 2 inputs"</span>);</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  }</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> </div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& firstInputShape = *first;</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> </div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDimensions = firstInputShape.GetNumDimensions();</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> it = first + 1; it != last; ++it)</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  {</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordflow">if</span> (it->GetNumDimensions() != numDimensions)</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  {</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"All inputs to concatenation must have the same number of dimensions"</span>);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  }</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  }</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> </div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordflow">if</span> (concatenationDimension >= numDimensions)</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="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"concatenationDimension must be between 0 and the number of dimensions."</span>);</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  }</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> </div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> it = first; it != last; ++it)</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  {</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d < numDimensions; ++d)</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  {</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> dimSizeOk = (d == concatenationDimension) || (firstInputShape[d] == (*it)[d]);</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keywordflow">if</span> (!dimSizeOk)</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  {</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"All inputs to concatenation must be the same size along all dimensions "</span></div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="stringliteral">" except the concatenation dimension"</span>);</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>  }</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  }</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span> </div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a> viewsDescriptor(static_cast<uint32_t>(numInputs), numDimensions);</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  viewsDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a5b192c5fcd96a0f75542524cf646b355">SetConcatAxis</a>(concatenationDimension);</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> </div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  uint32_t viewIndex = 0u;</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  uint32_t coordAlongConcatDim = 0u;</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> it = first; it != last; ++it)</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  {</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& inputShape = *it;</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span> </div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < concatenationDimension; ++i)</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  {</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  viewsDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a2b125117aa61f9baf3a9cb8658aa61a2">SetViewOriginCoord</a>(viewIndex, i, 0);</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  }</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span> </div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  viewsDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a2b125117aa61f9baf3a9cb8658aa61a2">SetViewOriginCoord</a>(viewIndex, concatenationDimension, coordAlongConcatDim);</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimSize = inputShape[concatenationDimension];</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  coordAlongConcatDim += dimSize;</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span> </div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> </div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = concatenationDimension + 1; i < numDimensions; ++i)</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  {</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  viewsDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a2b125117aa61f9baf3a9cb8658aa61a2">SetViewOriginCoord</a>(viewIndex, i, 0);</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  }</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> </div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  ++viewIndex;</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  }</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span> </div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordflow">return</span> viewsDescriptor;</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> }</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> <span class="comment"></span></div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> <span class="comment">/// A Pooling2dDescriptor for the Pooling2dLayer.</span></div><div class="line"><a name="l00313"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml"> 313</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml">Pooling2dDescriptor</a></div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span> {</div><div class="line"><a name="l00315"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a223ddc6ec23fbfa317b41ac45199b296"> 315</a></span>  <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a223ddc6ec23fbfa317b41ac45199b296">Pooling2dDescriptor</a>()</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  : m_PoolType(<a class="code" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718">PoolingAlgorithm</a>::<a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">Max</a>)</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  , m_PadLeft(0)</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  , m_PadRight(0)</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  , m_PadTop(0)</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  , m_PadBottom(0)</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  , m_PoolWidth(0)</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  , m_PoolHeight(0)</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  , m_StrideX(0)</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  , m_StrideY(0)</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  , m_OutputShapeRounding(<a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754e">OutputShapeRounding</a>::<a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">Floor</a>)</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  , m_PaddingMethod(<a class="code" href="namespacearmnn.xhtml#a3888429b6ebc79f9a7df549e5e4d9a2f">PaddingMethod</a>::<a class="code" href="namespacearmnn.xhtml#a3888429b6ebc79f9a7df549e5e4d9a2fa843f2812f595e7ec7c5036e89fde02d6">Exclude</a>)</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  {}</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> </div><div class="line"><a name="l00330"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a77b1d8701ac0e41b1d9d40eaacc79252"> 330</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml">Pooling2dDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keywordflow">return</span> m_PoolType == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">m_PoolType</a> &&</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  m_PadLeft == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> &&</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  m_PadRight == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> &&</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  m_PadTop == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> &&</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  m_PadBottom == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> &&</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  m_PoolWidth == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a> &&</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  m_PoolHeight == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a> &&</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  m_StrideX == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> &&</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  m_StrideY == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> &&</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  m_OutputShapeRounding == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">m_OutputShapeRounding</a> &&</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  m_PaddingMethod == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c">m_PaddingMethod</a> &&</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  }</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span> <span class="comment"></span></div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> <span class="comment"> /// The pooling algorithm to use (Max. Average, L2).</span></div><div class="line"><a name="l00347"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a"> 347</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718">PoolingAlgorithm</a> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">m_PoolType</a>;<span class="comment"></span></div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span> <span class="comment"> /// Padding left value in the width dimension.</span></div><div class="line"><a name="l00349"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600"> 349</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>;<span class="comment"></span></div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span> <span class="comment"> /// Padding right value in the width dimension.</span></div><div class="line"><a name="l00351"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7"> 351</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>;<span class="comment"></span></div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> <span class="comment"> /// Padding top value in the height dimension.</span></div><div class="line"><a name="l00353"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046"> 353</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>;<span class="comment"></span></div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> <span class="comment"> /// Padding bottom value in the height dimension.</span></div><div class="line"><a name="l00355"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618"> 355</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>;<span class="comment"></span></div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> <span class="comment"> /// Pooling width value.</span></div><div class="line"><a name="l00357"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86"> 357</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a>;<span class="comment"></span></div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span> <span class="comment"> /// Pooling height value.</span></div><div class="line"><a name="l00359"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010"> 359</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a>;<span class="comment"></span></div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span> <span class="comment"> /// Stride value when proceeding through input for the width dimension.</span></div><div class="line"><a name="l00361"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda"> 361</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>;<span class="comment"></span></div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span> <span class="comment"> /// Stride value when proceeding through input for the height dimension.</span></div><div class="line"><a name="l00363"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8"> 363</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>;<span class="comment"></span></div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span> <span class="comment"> /// The rounding method for the output shape. (Floor, Ceiling).</span></div><div class="line"><a name="l00365"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962"> 365</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754e">OutputShapeRounding</a> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">m_OutputShapeRounding</a>;<span class="comment"></span></div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span> <span class="comment"> /// The padding method to be used. (Exclude, IgnoreValue).</span></div><div class="line"><a name="l00367"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c"> 367</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a3888429b6ebc79f9a7df549e5e4d9a2f">PaddingMethod</a> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c">m_PaddingMethod</a>;<span class="comment"></span></div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span> <span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l00369"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 369</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span> };</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span> <span class="comment"></span></div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> <span class="comment">/// A FullyConnectedDescriptor for the FullyConnectedLayer.</span></div><div class="line"><a name="l00373"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fully_connected_descriptor.xhtml"> 373</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml">FullyConnectedDescriptor</a></div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span> {</div><div class="line"><a name="l00375"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fully_connected_descriptor.xhtml#ab70cd7344da13580556ea1af358a8a8b"> 375</a></span>  <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#ab70cd7344da13580556ea1af358a8a8b">FullyConnectedDescriptor</a>()</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  : m_BiasEnabled(<a class="code" href="_cl_layer_tests_8cpp.xhtml#af3b727ae5a13ff472892ab8bda2eb1b5">false</a>)</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  , m_TransposeWeightMatrix(<a class="code" href="_cl_layer_tests_8cpp.xhtml#af3b727ae5a13ff472892ab8bda2eb1b5">false</a>)</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  {}</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span> </div><div class="line"><a name="l00380"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a81499fc0c8844290c0f273b6c5e184a1"> 380</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml">FullyConnectedDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keywordflow">return</span> m_BiasEnabled == rhs.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> && m_TransposeWeightMatrix == rhs.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a281fcaec86e17c97f7b8402633f6b55a">m_TransposeWeightMatrix</a>;</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  }</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span> <span class="comment"></span></div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span> <span class="comment"> /// Enable/disable bias.</span></div><div class="line"><a name="l00386"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25"> 386</a></span> <span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>;<span class="comment"></span></div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span> <span class="comment"> /// Enable/disable transpose weight matrix.</span></div><div class="line"><a name="l00388"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a281fcaec86e17c97f7b8402633f6b55a"> 388</a></span> <span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml#a281fcaec86e17c97f7b8402633f6b55a">m_TransposeWeightMatrix</a>;</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> };</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span> <span class="comment"></span></div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span> <span class="comment">/// A Convolution2dDescriptor for the Convolution2dLayer.</span></div><div class="line"><a name="l00392"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml"> 392</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a></div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span> {</div><div class="line"><a name="l00394"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ab297e72fab7f2ebba2ffd05b11bfbf7a"> 394</a></span>  <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ab297e72fab7f2ebba2ffd05b11bfbf7a">Convolution2dDescriptor</a>()</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  : m_PadLeft(0)</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  , m_PadRight(0)</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  , m_PadTop(0)</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  , m_PadBottom(0)</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  , m_StrideX(0)</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  , m_StrideY(0)</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  , m_DilationX(1)</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  , m_DilationY(1)</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  , m_BiasEnabled(<a class="code" href="_cl_layer_tests_8cpp.xhtml#af3b727ae5a13ff472892ab8bda2eb1b5">false</a>)</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  {}</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span> </div><div class="line"><a name="l00407"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a49fa05efa6154c44c7701b125afd802c"> 407</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keywordflow">return</span> m_PadLeft == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> &&</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  m_PadRight == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> &&</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  m_PadTop == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> &&</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  m_PadBottom == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> &&</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  m_StrideX == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> &&</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  m_StrideY == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> &&</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  m_DilationX == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a> &&</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  m_DilationY == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a> &&</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  m_BiasEnabled == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> &&</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  }</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span> <span class="comment"></span></div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> <span class="comment"> /// Padding left value in the width dimension.</span></div><div class="line"><a name="l00422"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600"> 422</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>;<span class="comment"></span></div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span> <span class="comment"> /// Padding right value in the width dimension.</span></div><div class="line"><a name="l00424"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7"> 424</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>;<span class="comment"></span></div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span> <span class="comment"> /// Padding top value in the height dimension.</span></div><div class="line"><a name="l00426"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046"> 426</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>;<span class="comment"></span></div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span> <span class="comment"> /// Padding bottom value in the height dimension.</span></div><div class="line"><a name="l00428"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618"> 428</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>;<span class="comment"></span></div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span> <span class="comment"> /// Stride value when proceeding through input for the width dimension.</span></div><div class="line"><a name="l00430"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda"> 430</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>;<span class="comment"></span></div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span> <span class="comment"> /// Stride value when proceeding through input for the height dimension.</span></div><div class="line"><a name="l00432"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8"> 432</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>;<span class="comment"></span></div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span> <span class="comment"> /// Dilation along x axis</span></div><div class="line"><a name="l00434"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1"> 434</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>;<span class="comment"></span></div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span> <span class="comment"> /// Dilation along y axis</span></div><div class="line"><a name="l00436"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907"> 436</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a>;<span class="comment"></span></div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span> <span class="comment"> /// Enable/disable bias.</span></div><div class="line"><a name="l00438"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25"> 438</a></span> <span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>;<span class="comment"></span></div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span> <span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l00440"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 440</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span> };</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span> <span class="comment"></span></div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span> <span class="comment">/// A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer.</span></div><div class="line"><a name="l00444"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml"> 444</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a></div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span> {</div><div class="line"><a name="l00446"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a8b4bd784a8d7b85b437c7c5d61c93bd9"> 446</a></span>  <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a8b4bd784a8d7b85b437c7c5d61c93bd9">DepthwiseConvolution2dDescriptor</a>()</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  : m_PadLeft(0)</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  , m_PadRight(0)</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  , m_PadTop(0)</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  , m_PadBottom(0)</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  , m_StrideX(0)</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  , m_StrideY(0)</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  , m_DilationX(1)</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  , m_DilationY(1)</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  , m_BiasEnabled(<a class="code" href="_cl_layer_tests_8cpp.xhtml#af3b727ae5a13ff472892ab8bda2eb1b5">false</a>)</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  {}</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span> </div><div class="line"><a name="l00459"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a5cfc12c95893da682e3bb526a81e7864"> 459</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keywordflow">return</span> m_PadLeft == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> &&</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  m_PadRight == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> &&</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  m_PadTop == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> &&</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  m_PadBottom == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> &&</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  m_StrideX == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> &&</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  m_StrideY == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> &&</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  m_DilationX == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a> &&</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  m_DilationY == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a> &&</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  m_BiasEnabled == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> &&</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  }</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span> <span class="comment"></span></div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span> <span class="comment"> /// Padding left value in the width dimension.</span></div><div class="line"><a name="l00474"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600"> 474</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>;<span class="comment"></span></div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span> <span class="comment"> /// Padding right value in the width dimension.</span></div><div class="line"><a name="l00476"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7"> 476</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>;<span class="comment"></span></div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span> <span class="comment"> /// Padding top value in the height dimension.</span></div><div class="line"><a name="l00478"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046"> 478</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>;<span class="comment"></span></div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span> <span class="comment"> /// Padding bottom value in the height dimension.</span></div><div class="line"><a name="l00480"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618"> 480</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>;<span class="comment"></span></div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span> <span class="comment"> /// Stride value when proceeding through input for the width dimension.</span></div><div class="line"><a name="l00482"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda"> 482</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>;<span class="comment"></span></div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span> <span class="comment"> /// Stride value when proceeding through input for the height dimension.</span></div><div class="line"><a name="l00484"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8"> 484</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>;<span class="comment"></span></div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span> <span class="comment"> /// Dilation factor value for width dimension.</span></div><div class="line"><a name="l00486"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1"> 486</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>;<span class="comment"></span></div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span> <span class="comment"> /// Dilation factor value for height dimension.</span></div><div class="line"><a name="l00488"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907"> 488</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a>;<span class="comment"></span></div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span> <span class="comment"> /// Enable/disable bias.</span></div><div class="line"><a name="l00490"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25"> 490</a></span> <span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>;<span class="comment"></span></div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span> <span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l00492"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 492</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span> };</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span> </div><div class="line"><a name="l00495"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml"> 495</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml">DetectionPostProcessDescriptor</a></div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span> {</div><div class="line"><a name="l00497"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ac5c408724c832bc1f75bad758fe2b7da"> 497</a></span>  <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ac5c408724c832bc1f75bad758fe2b7da">DetectionPostProcessDescriptor</a>()</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  : m_MaxDetections(0)</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  , m_MaxClassesPerDetection(1)</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  , m_DetectionsPerClass(1)</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  , m_NmsScoreThreshold(0)</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  , m_NmsIouThreshold(0)</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  , m_NumClasses(0)</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  , m_UseRegularNms(<a class="code" href="_cl_layer_tests_8cpp.xhtml#af3b727ae5a13ff472892ab8bda2eb1b5">false</a>)</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  , m_ScaleX(0)</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  , m_ScaleY(0)</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  , m_ScaleW(0)</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  , m_ScaleH(0)</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  {}</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span> </div><div class="line"><a name="l00511"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a0773c6fc2b30dc55c1bbdfc603e6e79f"> 511</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml">DetectionPostProcessDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordflow">return</span> m_MaxDetections == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014">m_MaxDetections</a> &&</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  m_MaxClassesPerDetection == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a9ae2c9796692ebeafe19a4d3f09c8ea8">m_MaxClassesPerDetection</a> &&</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  m_DetectionsPerClass == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7e2f87544b8bc7e497e1dec8d3ca4055">m_DetectionsPerClass</a> &&</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  m_NmsScoreThreshold == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a4392dd6b4862cc9cf95ae8f1001ba592">m_NmsScoreThreshold</a> &&</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  m_NmsIouThreshold == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a53c8a7f33a40e1e240256bcfcf41b101">m_NmsIouThreshold</a> &&</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  m_NumClasses == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4">m_NumClasses</a> &&</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  m_UseRegularNms == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7ed9bc7c26df67d274d5dd4cd83adf0f">m_UseRegularNms</a> &&</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  m_ScaleX == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae64523937ea910030ad66fee6fddd51f">m_ScaleX</a> &&</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  m_ScaleY == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7a2156ec7d9c012ce00bbcc6afcb9028">m_ScaleY</a> &&</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  m_ScaleW == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ab509802c659de19929f18bad14a35c58">m_ScaleW</a> &&</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  m_ScaleH == rhs.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#aa61510cbd529870182e918ac6e8b9d72">m_ScaleH</a>;</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  }</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span> <span class="comment"></span></div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span> <span class="comment"> /// Maximum numbers of detections.</span></div><div class="line"><a name="l00527"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014"> 527</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014">m_MaxDetections</a>;<span class="comment"></span></div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span> <span class="comment"> /// Maximum numbers of classes per detection, used in Fast NMS.</span></div><div class="line"><a name="l00529"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a9ae2c9796692ebeafe19a4d3f09c8ea8"> 529</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a9ae2c9796692ebeafe19a4d3f09c8ea8">m_MaxClassesPerDetection</a>;<span class="comment"></span></div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span> <span class="comment"> /// Detections per classes, used in Regular NMS.</span></div><div class="line"><a name="l00531"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7e2f87544b8bc7e497e1dec8d3ca4055"> 531</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7e2f87544b8bc7e497e1dec8d3ca4055">m_DetectionsPerClass</a>;<span class="comment"></span></div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span> <span class="comment"> /// NMS score threshold.</span></div><div class="line"><a name="l00533"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a4392dd6b4862cc9cf95ae8f1001ba592"> 533</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a4392dd6b4862cc9cf95ae8f1001ba592">m_NmsScoreThreshold</a>;<span class="comment"></span></div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span> <span class="comment"> /// Intersection over union threshold.</span></div><div class="line"><a name="l00535"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a53c8a7f33a40e1e240256bcfcf41b101"> 535</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a53c8a7f33a40e1e240256bcfcf41b101">m_NmsIouThreshold</a>;<span class="comment"></span></div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span> <span class="comment"> /// Number of classes.</span></div><div class="line"><a name="l00537"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4"> 537</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4">m_NumClasses</a>;<span class="comment"></span></div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span> <span class="comment"> /// Use Regular NMS.</span></div><div class="line"><a name="l00539"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7ed9bc7c26df67d274d5dd4cd83adf0f"> 539</a></span> <span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7ed9bc7c26df67d274d5dd4cd83adf0f">m_UseRegularNms</a>;<span class="comment"></span></div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span> <span class="comment"> /// Center size encoding scale x.</span></div><div class="line"><a name="l00541"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae64523937ea910030ad66fee6fddd51f"> 541</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae64523937ea910030ad66fee6fddd51f">m_ScaleX</a>;<span class="comment"></span></div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span> <span class="comment"> /// Center size encoding scale y.</span></div><div class="line"><a name="l00543"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7a2156ec7d9c012ce00bbcc6afcb9028"> 543</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7a2156ec7d9c012ce00bbcc6afcb9028">m_ScaleY</a>;<span class="comment"></span></div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span> <span class="comment"> /// Center size encoding scale weight.</span></div><div class="line"><a name="l00545"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ab509802c659de19929f18bad14a35c58"> 545</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ab509802c659de19929f18bad14a35c58">m_ScaleW</a>;<span class="comment"></span></div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span> <span class="comment"> /// Center size encoding scale height.</span></div><div class="line"><a name="l00547"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#aa61510cbd529870182e918ac6e8b9d72"> 547</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#aa61510cbd529870182e918ac6e8b9d72">m_ScaleH</a>;</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span> };</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span> <span class="comment"></span></div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span> <span class="comment">/// A NormalizationDescriptor for the NormalizationLayer.</span></div><div class="line"><a name="l00551"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml"> 551</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml">NormalizationDescriptor</a></div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span> {</div><div class="line"><a name="l00553"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#a8adc7995fc87683fb9a99b3a161904c6"> 553</a></span>  <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a8adc7995fc87683fb9a99b3a161904c6">NormalizationDescriptor</a>()</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  : m_NormChannelType(<a class="code" href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437">NormalizationAlgorithmChannel</a>::<a class="code" href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437a810f43f3996922151c39b76143faeecc">Across</a>)</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  , m_NormMethodType(<a class="code" href="namespacearmnn.xhtml#ad605d1661fa0d8c7fea651d82fbe11c9">NormalizationAlgorithmMethod</a>::<a class="code" href="namespacearmnn.xhtml#ad605d1661fa0d8c7fea651d82fbe11c9ac65d2e51c610dd3853a3c777aa8bfe9d">LocalBrightness</a>)</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  , m_NormSize(0)</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  , m_Alpha(0.f)</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  , m_Beta(0.f)</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  , m_K(0.f)</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  {}</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span> </div><div class="line"><a name="l00563"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#af0e4b97a3ecaf95a364f33c37cdbd052"> 563</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml">NormalizationDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  <span class="keywordflow">return</span> m_NormChannelType == rhs.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#afe1f0f09d49ad2befc01f8789187b7dd">m_NormChannelType</a> &&</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  m_NormMethodType == rhs.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a05945f080edf694b631960728b87aadb">m_NormMethodType</a> &&</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  m_NormSize == rhs.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#aa70c05f1aad12fbd9d9ec43ea4557b03">m_NormSize</a> &&</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  m_Alpha == rhs.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a174279be57d7596eeb04c6b7f7510f99">m_Alpha</a> &&</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  m_Beta == rhs.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a> &&</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  m_K == rhs.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a8526ea7cf860d8e7f8340e9f9354f9f0">m_K</a> &&</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  }</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span> <span class="comment"></span></div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span> <span class="comment"> /// Normalization channel algorithm to use (Across, Within).</span></div><div class="line"><a name="l00575"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#afe1f0f09d49ad2befc01f8789187b7dd"> 575</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437">NormalizationAlgorithmChannel</a> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#afe1f0f09d49ad2befc01f8789187b7dd">m_NormChannelType</a>;<span class="comment"></span></div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span> <span class="comment"> /// Normalization method algorithm to use (LocalBrightness, LocalContrast).</span></div><div class="line"><a name="l00577"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#a05945f080edf694b631960728b87aadb"> 577</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad605d1661fa0d8c7fea651d82fbe11c9">NormalizationAlgorithmMethod</a> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a05945f080edf694b631960728b87aadb">m_NormMethodType</a>;<span class="comment"></span></div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span> <span class="comment"> /// Depth radius value.</span></div><div class="line"><a name="l00579"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#aa70c05f1aad12fbd9d9ec43ea4557b03"> 579</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#aa70c05f1aad12fbd9d9ec43ea4557b03">m_NormSize</a>;<span class="comment"></span></div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span> <span class="comment"> /// Alpha value for the normalization equation.</span></div><div class="line"><a name="l00581"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#a174279be57d7596eeb04c6b7f7510f99"> 581</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a174279be57d7596eeb04c6b7f7510f99">m_Alpha</a>;<span class="comment"></span></div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span> <span class="comment"> /// Beta value for the normalization equation.</span></div><div class="line"><a name="l00583"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5"> 583</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a>;<span class="comment"></span></div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span> <span class="comment"> /// Kappa value used for the across channel normalization equation.</span></div><div class="line"><a name="l00585"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#a8526ea7cf860d8e7f8340e9f9354f9f0"> 585</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a8526ea7cf860d8e7f8340e9f9354f9f0">m_K</a>;<span class="comment"></span></div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span> <span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l00587"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 587</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span> };</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span> <span class="comment"></span></div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span> <span class="comment">/// A L2NormalizationDescriptor for the L2NormalizationLayer.</span></div><div class="line"><a name="l00591"></a><span class="lineno"><a class="line" href="structarmnn_1_1_l2_normalization_descriptor.xhtml"> 591</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml">L2NormalizationDescriptor</a></div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span> {</div><div class="line"><a name="l00593"></a><span class="lineno"><a class="line" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a7c758226ee35a1387dff4fb8a5f14948"> 593</a></span>  <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a7c758226ee35a1387dff4fb8a5f14948">L2NormalizationDescriptor</a>()</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  : m_Eps(1e-12f)</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  {}</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span> </div><div class="line"><a name="l00598"></a><span class="lineno"><a class="line" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#affc4fe96bd046f459ae712bd811b9d28"> 598</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml">L2NormalizationDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  <span class="keywordflow">return</span> m_Eps == rhs.<a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">m_Eps</a> && m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  }</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span> <span class="comment"></span></div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span> <span class="comment"> /// Used to avoid dividing by zero.</span></div><div class="line"><a name="l00604"></a><span class="lineno"><a class="line" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c"> 604</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">m_Eps</a>;<span class="comment"></span></div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span> <span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l00606"></a><span class="lineno"><a class="line" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 606</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span> };</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span> <span class="comment"></span></div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span> <span class="comment">/// A BatchNormalizationDescriptor for the BatchNormalizationLayer.</span></div><div class="line"><a name="l00610"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_normalization_descriptor.xhtml"> 610</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">BatchNormalizationDescriptor</a></div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span> {</div><div class="line"><a name="l00612"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#aefba12eed94174fb6eaeb78b6eaf7e59"> 612</a></span>  <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#aefba12eed94174fb6eaeb78b6eaf7e59">BatchNormalizationDescriptor</a>()</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  : m_Eps(0.0001f)</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  {}</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span> </div><div class="line"><a name="l00617"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a65f4f175144b079a9b33eb4871192af6"> 617</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">BatchNormalizationDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  <span class="keywordflow">return</span> m_Eps == rhs.<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">m_Eps</a> && m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  }</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span> <span class="comment"></span></div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span> <span class="comment"> /// Value to add to the variance. Used to avoid dividing by zero.</span></div><div class="line"><a name="l00623"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c"> 623</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">m_Eps</a>;<span class="comment"></span></div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span> <span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l00625"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 625</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span> };</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span> <span class="comment"></span></div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span> <span class="comment">/// An InstanceNormalizationDescriptor for InstanceNormalizationLayer</span></div><div class="line"><a name="l00629"></a><span class="lineno"><a class="line" href="structarmnn_1_1_instance_normalization_descriptor.xhtml"> 629</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml">InstanceNormalizationDescriptor</a></div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span> {</div><div class="line"><a name="l00631"></a><span class="lineno"><a class="line" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a36f0ec397ba668e40fbb48a806691feb"> 631</a></span>  <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a36f0ec397ba668e40fbb48a806691feb">InstanceNormalizationDescriptor</a>()</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  : m_Gamma(1.0f)</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  , m_Beta(0.0f)</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  , m_Eps(1e-12f)</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  {}</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span> </div><div class="line"><a name="l00638"></a><span class="lineno"><a class="line" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a4218cb8f0071de0300393c78e3900b80"> 638</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml">InstanceNormalizationDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  <span class="keywordflow">return</span> m_Gamma == rhs.<a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a5e078fd505aef7bccaa05c8058e096cc">m_Gamma</a> &&</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  m_Beta == rhs.<a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a> &&</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  m_Eps == rhs.<a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">m_Eps</a> &&</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  }</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span> <span class="comment"></span></div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span> <span class="comment"> /// Gamma, the scale scalar value applied for the normalized tensor. Defaults to 1.0.</span></div><div class="line"><a name="l00647"></a><span class="lineno"><a class="line" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a5e078fd505aef7bccaa05c8058e096cc"> 647</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a5e078fd505aef7bccaa05c8058e096cc">m_Gamma</a>;<span class="comment"></span></div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span> <span class="comment"> /// Beta, the offset scalar value applied for the normalized tensor. Defaults to 1.0.</span></div><div class="line"><a name="l00649"></a><span class="lineno"><a class="line" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5"> 649</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">m_Beta</a>;<span class="comment"></span></div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span> <span class="comment"> /// Epsilon, small scalar value added to variance to avoid dividing by zero. Defaults to 1e-12f.</span></div><div class="line"><a name="l00651"></a><span class="lineno"><a class="line" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c"> 651</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">m_Eps</a>;<span class="comment"></span></div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span> <span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l00653"></a><span class="lineno"><a class="line" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 653</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span> };</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span> <span class="comment"></span></div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span> <span class="comment">/// A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer.</span></div><div class="line"><a name="l00657"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml"> 657</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">BatchToSpaceNdDescriptor</a></div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span> {</div><div class="line"><a name="l00659"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a2b53a866f5baae6a357bf034019e0ff3"> 659</a></span>  <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a2b53a866f5baae6a357bf034019e0ff3">BatchToSpaceNdDescriptor</a>()</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  : m_BlockShape({1, 1})</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  , m_Crops({{0, 0}, {0, 0}})</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  {}</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span> </div><div class="line"><a name="l00665"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a6280b6dbb53caebf325b450a52dc53f9"> 665</a></span>  <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a6280b6dbb53caebf325b450a52dc53f9">BatchToSpaceNdDescriptor</a>(std::vector<unsigned int> blockShape,</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  std::vector<std::pair<unsigned int, unsigned int>> crops)</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  : m_BlockShape(blockShape)</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  , m_Crops(crops)</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  {}</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span> </div><div class="line"><a name="l00672"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a160993b2430d1063d2dc803d1ff0903f"> 672</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">BatchToSpaceNdDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  <span class="keywordflow">return</span> m_BlockShape == rhs.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a> &&</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  m_Crops == rhs.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a3941f674c071c9503e00d2b59e92e454">m_Crops</a> &&</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  }</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span> <span class="comment"></span></div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span> <span class="comment"> /// Block shape values.</span></div><div class="line"><a name="l00680"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696"> 680</a></span> <span class="comment"></span> std::vector<unsigned int> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>;<span class="comment"></span></div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span> <span class="comment"> /// The values to crop from the input dimension.</span></div><div class="line"><a name="l00682"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a3941f674c071c9503e00d2b59e92e454"> 682</a></span> <span class="comment"></span> std::vector<std::pair<unsigned int, unsigned int>> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a3941f674c071c9503e00d2b59e92e454">m_Crops</a>;<span class="comment"></span></div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span> <span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l00684"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 684</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span> };</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span> <span class="comment"></span></div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span> <span class="comment">/// A FakeQuantizationDescriptor for the FakeQuantizationLayer.</span></div><div class="line"><a name="l00688"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fake_quantization_descriptor.xhtml"> 688</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_fake_quantization_descriptor.xhtml">FakeQuantizationDescriptor</a></div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span> {</div><div class="line"><a name="l00690"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fake_quantization_descriptor.xhtml#a07e9336ef20ef3348c954f620d9a31f3"> 690</a></span>  <a class="code" href="structarmnn_1_1_fake_quantization_descriptor.xhtml#a07e9336ef20ef3348c954f620d9a31f3">FakeQuantizationDescriptor</a>()</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  : m_Min(-6.0f)</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  , m_Max(6.0f)</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  {}</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span> </div><div class="line"><a name="l00695"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fake_quantization_descriptor.xhtml#a4f25330d63abd7dc45a77c17efb9eb8f"> 695</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fake_quantization_descriptor.xhtml">FakeQuantizationDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  <span class="keywordflow">return</span> m_Min == rhs.<a class="code" href="structarmnn_1_1_fake_quantization_descriptor.xhtml#a4c14a8e0d126891dd0c38e7584312bfd">m_Min</a> && m_Max == rhs.<a class="code" href="structarmnn_1_1_fake_quantization_descriptor.xhtml#ad3729c591f7bfda7ad9ef9927d8a1bd6">m_Max</a>;</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  }</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span> <span class="comment"></span></div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span> <span class="comment"> /// Minimum value.</span></div><div class="line"><a name="l00701"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fake_quantization_descriptor.xhtml#a4c14a8e0d126891dd0c38e7584312bfd"> 701</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_fake_quantization_descriptor.xhtml#a4c14a8e0d126891dd0c38e7584312bfd">m_Min</a>;<span class="comment"></span></div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span> <span class="comment"> /// Maximum value.</span></div><div class="line"><a name="l00703"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fake_quantization_descriptor.xhtml#ad3729c591f7bfda7ad9ef9927d8a1bd6"> 703</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_fake_quantization_descriptor.xhtml#ad3729c591f7bfda7ad9ef9927d8a1bd6">m_Max</a>;</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span> };</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span> <span class="comment"></span></div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span> <span class="comment">/// A ResizeBilinearDescriptor for the ResizeBilinearLayer.</span></div><div class="line"><a name="l00707"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_bilinear_descriptor.xhtml"> 707</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_resize_bilinear_descriptor.xhtml">ResizeBilinearDescriptor</a></div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span> {</div><div class="line"><a name="l00709"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_bilinear_descriptor.xhtml#a9634e2357de47ab41265270c0182e837"> 709</a></span>  <a class="code" href="structarmnn_1_1_resize_bilinear_descriptor.xhtml#a9634e2357de47ab41265270c0182e837">ResizeBilinearDescriptor</a>()</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  : m_TargetWidth(0)</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  , m_TargetHeight(0)</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  {}</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span> <span class="comment"></span></div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span> <span class="comment"> /// Target width value.</span></div><div class="line"><a name="l00716"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_bilinear_descriptor.xhtml#adcf5037208faac36c0788239a073f75c"> 716</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_resize_bilinear_descriptor.xhtml#adcf5037208faac36c0788239a073f75c">m_TargetWidth</a>;<span class="comment"></span></div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span> <span class="comment"> /// Target height value.</span></div><div class="line"><a name="l00718"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_bilinear_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd"> 718</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_resize_bilinear_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">m_TargetHeight</a>;<span class="comment"></span></div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span> <span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l00720"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_bilinear_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 720</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_resize_bilinear_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span> };</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span> <span class="comment"></span></div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span> <span class="comment">/// A ResizeDescriptor for the ResizeLayer.</span></div><div class="line"><a name="l00724"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml"> 724</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_resize_descriptor.xhtml">ResizeDescriptor</a></div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span> {</div><div class="line"><a name="l00726"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml#a2c16307e3575b3bfcd9d33a3923bec73"> 726</a></span>  <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a2c16307e3575b3bfcd9d33a3923bec73">ResizeDescriptor</a>()</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  : m_TargetWidth(0)</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  , m_TargetHeight(0)</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  , m_Method(<a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4">ResizeMethod</a>::<a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">NearestNeighbor</a>)</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  , m_BilinearAlignCorners(<a class="code" href="_cl_layer_tests_8cpp.xhtml#af3b727ae5a13ff472892ab8bda2eb1b5">false</a>)</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  {}</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span> </div><div class="line"><a name="l00734"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml#afa0b84fc29f09035aefda7f27f7acef2"> 734</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml">ResizeDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  <span class="keywordflow">return</span> m_TargetWidth == rhs.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#adcf5037208faac36c0788239a073f75c">m_TargetWidth</a> &&</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  m_TargetHeight == rhs.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">m_TargetHeight</a> &&</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  m_Method == rhs.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a869254cb56968986a78a79e1d6d4a86b">m_Method</a> &&</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> &&</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  m_BilinearAlignCorners == rhs.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a4772ee9cfc371989df220a73fb0a0b54">m_BilinearAlignCorners</a>;</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  }</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span> <span class="comment"></span></div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span> <span class="comment"> /// Target width value.</span></div><div class="line"><a name="l00744"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml#adcf5037208faac36c0788239a073f75c"> 744</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#adcf5037208faac36c0788239a073f75c">m_TargetWidth</a>;<span class="comment"></span></div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span> <span class="comment"> /// Target height value.</span></div><div class="line"><a name="l00746"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd"> 746</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">m_TargetHeight</a>;<span class="comment"></span></div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span> <span class="comment"> /// The Interpolation method to use</span></div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span> <span class="comment"> /// (Bilinear, NearestNeighbor).</span></div><div class="line"><a name="l00749"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml#a869254cb56968986a78a79e1d6d4a86b"> 749</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4">ResizeMethod</a> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a869254cb56968986a78a79e1d6d4a86b">m_Method</a>;<span class="comment"></span></div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span> <span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l00751"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 751</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;<span class="comment"></span></div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span> <span class="comment"> /// Aligned corners for bilinear method</span></div><div class="line"><a name="l00753"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_descriptor.xhtml#a4772ee9cfc371989df220a73fb0a0b54"> 753</a></span> <span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a4772ee9cfc371989df220a73fb0a0b54">m_BilinearAlignCorners</a>;</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span> };</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span> </div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span> <span class="comment"></span></div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span> <span class="comment">/// A ReshapeDescriptor for the ReshapeLayer.</span></div><div class="line"><a name="l00758"></a><span class="lineno"><a class="line" href="structarmnn_1_1_reshape_descriptor.xhtml"> 758</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml">ReshapeDescriptor</a></div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span> {</div><div class="line"><a name="l00760"></a><span class="lineno"><a class="line" href="structarmnn_1_1_reshape_descriptor.xhtml#aa56cfbc7e14b271ba389e064a769e2f2"> 760</a></span>  <a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml#aa56cfbc7e14b271ba389e064a769e2f2">ReshapeDescriptor</a>()</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  : m_TargetShape()</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  {}</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span> </div><div class="line"><a name="l00764"></a><span class="lineno"><a class="line" href="structarmnn_1_1_reshape_descriptor.xhtml#a167ba78098e8fdf1e3d467c8ac5bd57c"> 764</a></span>  <a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml#a167ba78098e8fdf1e3d467c8ac5bd57c">ReshapeDescriptor</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& shape)</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  : m_TargetShape(shape)</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  {}</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span> </div><div class="line"><a name="l00768"></a><span class="lineno"><a class="line" href="structarmnn_1_1_reshape_descriptor.xhtml#a382377c9853a4aca845b50ba73a74c79"> 768</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml">ReshapeDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  <span class="keywordflow">return</span> m_TargetShape == rhs.<a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml#a1178f4dafdda81f59c15145ec327f7d9">m_TargetShape</a>;</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  }</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span> <span class="comment"></span></div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span> <span class="comment"> /// Target shape value.</span></div><div class="line"><a name="l00774"></a><span class="lineno"><a class="line" href="structarmnn_1_1_reshape_descriptor.xhtml#a1178f4dafdda81f59c15145ec327f7d9"> 774</a></span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="structarmnn_1_1_reshape_descriptor.xhtml#a1178f4dafdda81f59c15145ec327f7d9">m_TargetShape</a>;</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span> };</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span> <span class="comment"></span></div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span> <span class="comment">/// A SpaceToBatchNdDescriptor for the SpaceToBatchNdLayer.</span></div><div class="line"><a name="l00778"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml"> 778</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">SpaceToBatchNdDescriptor</a></div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span> {</div><div class="line"><a name="l00780"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#aa7a846e189c37a6092fbf10e90110dc9"> 780</a></span>  <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#aa7a846e189c37a6092fbf10e90110dc9">SpaceToBatchNdDescriptor</a>()</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  : m_BlockShape({1, 1})</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  , m_PadList({{0, 0}, {0, 0}})</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  {}</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span> </div><div class="line"><a name="l00786"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a2c0bf19cb8ae5ab4f5b7373b2b1c79b8"> 786</a></span>  <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a2c0bf19cb8ae5ab4f5b7373b2b1c79b8">SpaceToBatchNdDescriptor</a>(<span class="keyword">const</span> std::vector<unsigned int>& blockShape,</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  <span class="keyword">const</span> std::vector<std::pair<unsigned int, unsigned int>>& padList)</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  : m_BlockShape(blockShape)</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  , m_PadList(padList)</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  {}</div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span> </div><div class="line"><a name="l00793"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#ad646266bca8921076c3bcfa68931d375"> 793</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml">SpaceToBatchNdDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  <span class="keywordflow">return</span> m_BlockShape == rhs.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a> &&</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  m_PadList == rhs.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> &&</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  }</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span> <span class="comment"></span></div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span> <span class="comment"> /// Block shape value.</span></div><div class="line"><a name="l00801"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696"> 801</a></span> <span class="comment"></span> std::vector<unsigned int> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>;<span class="comment"></span></div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span> <span class="comment"> /// @brief Specifies the padding values for the input dimension:</span></div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span> <span class="comment"> /// heightPad{top, bottom} widthPad{left, right}.</span></div><div class="line"><a name="l00804"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3"> 804</a></span> <span class="comment"></span> std::vector<std::pair<unsigned int, unsigned int>> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>;<span class="comment"></span></div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span> <span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l00806"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 806</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span> };</div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span> <span class="comment"></span></div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span> <span class="comment">/// A SpaceToDepthDescriptor for the SpaceToDepthLayer</span></div><div class="line"><a name="l00810"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_depth_descriptor.xhtml"> 810</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a></div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span> {</div><div class="line"><a name="l00812"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#af295348553622bb3baadff6ea5124414"> 812</a></span>  <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#af295348553622bb3baadff6ea5124414">SpaceToDepthDescriptor</a>()</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  : <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a>(1u, <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">NHWC</a>)</div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  {}</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span> </div><div class="line"><a name="l00816"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a700f6dc2a7a912cd37ee7dbfcc9220b9"> 816</a></span>  <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a700f6dc2a7a912cd37ee7dbfcc9220b9">SpaceToDepthDescriptor</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> blockSize, <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout)</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  : m_BlockSize(blockSize)</div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  , m_DataLayout(dataLayout)</div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  {}</div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span> </div><div class="line"><a name="l00821"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a2b4d1e836dadf7f093ac47a42bb875de"> 821</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  <span class="keywordflow">return</span> m_BlockSize == rhs.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a> && m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  }</div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span> <span class="comment"></span></div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span> <span class="comment"> /// Scalar specifying the input block size. It must be >= 1</span></div><div class="line"><a name="l00827"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6c6b8957f1e176867e5fb05b1a1a1486"> 827</a></span> <span class="comment"></span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a>;</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span> <span class="comment"></span></div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span> <span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l00830"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 830</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span> };</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span> <span class="comment"></span></div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span> <span class="comment">/// A DepthToSpaceDescriptor for the DepthToSpaceLayer</span></div><div class="line"><a name="l00834"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a3647f60510bc8ddaced01c51b0ee8714"> 834</a></span> <span class="comment"></span><span class="keyword">using</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">DepthToSpaceDescriptor</a> = <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.xhtml">SpaceToDepthDescriptor</a>;</div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span> <span class="comment"></span></div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span> <span class="comment">/// An LstmDescriptor for the LstmLayer.</span></div><div class="line"><a name="l00837"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml"> 837</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a></div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span> {</div><div class="line"><a name="l00839"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a4a6bc0b32c1db8d15971cae0ed4483a1"> 839</a></span>  <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a4a6bc0b32c1db8d15971cae0ed4483a1">LstmDescriptor</a>()</div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  : m_ActivationFunc(1) <span class="comment">// 0: None, 1: Relu, 3: Relu6, 4: Tanh, 6: Sigmoid</span></div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  , m_ClippingThresCell(0.0)</div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  , m_ClippingThresProj(0.0)</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  , m_CifgEnabled(<a class="code" href="_cl_layer_tests_8cpp.xhtml#a37f1c3ccc9fc906be85185350dd83d48">true</a>)</div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  , m_PeepholeEnabled(<a class="code" href="_cl_layer_tests_8cpp.xhtml#af3b727ae5a13ff472892ab8bda2eb1b5">false</a>)</div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  , m_ProjectionEnabled(<a class="code" href="_cl_layer_tests_8cpp.xhtml#af3b727ae5a13ff472892ab8bda2eb1b5">false</a>)</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span>  , m_LayerNormEnabled(<a class="code" href="_cl_layer_tests_8cpp.xhtml#af3b727ae5a13ff472892ab8bda2eb1b5">false</a>)</div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  {}</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span> </div><div class="line"><a name="l00849"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a3f7f9ecbcc21de1bf2090474c6360014"> 849</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  <span class="keywordflow">return</span> m_ActivationFunc == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ae1b07ed928036004bd257169e5aeeef4">m_ActivationFunc</a> &&</div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  m_ClippingThresCell == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a531a3907ec13d3772370da88030191a5">m_ClippingThresCell</a> &&</div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  m_ClippingThresProj == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a86e88bef0df4df96df752b4b8955a3af">m_ClippingThresProj</a> &&</div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  m_CifgEnabled == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a> &&</div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  m_PeepholeEnabled == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a> &&</div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  m_LayerNormEnabled == rhs.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>;</div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  }</div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span> <span class="comment"></span></div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span> <span class="comment"> /// @brief The activation function to use.</span></div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span> <span class="comment"> /// 0: None, 1: Relu, 3: Relu6, 4: Tanh, 6: Sigmoid.</span></div><div class="line"><a name="l00861"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#ae1b07ed928036004bd257169e5aeeef4"> 861</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ae1b07ed928036004bd257169e5aeeef4">m_ActivationFunc</a>;<span class="comment"></span></div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span> <span class="comment"> /// Clipping threshold value for the cell state.</span></div><div class="line"><a name="l00863"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a531a3907ec13d3772370da88030191a5"> 863</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a531a3907ec13d3772370da88030191a5">m_ClippingThresCell</a>;<span class="comment"></span></div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span> <span class="comment"> /// Clipping threshold value for the projection.</span></div><div class="line"><a name="l00865"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a86e88bef0df4df96df752b4b8955a3af"> 865</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a86e88bef0df4df96df752b4b8955a3af">m_ClippingThresProj</a>;<span class="comment"></span></div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span> <span class="comment"> /// Enable/disable cifg (coupled input & forget gate).</span></div><div class="line"><a name="l00867"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb"> 867</a></span> <span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>;<span class="comment"></span></div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span> <span class="comment"> /// Enable/disable peephole.</span></div><div class="line"><a name="l00869"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8"> 869</a></span> <span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>;<span class="comment"></span></div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span> <span class="comment"> /// Enable/disable the projection layer.</span></div><div class="line"><a name="l00871"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17"> 871</a></span> <span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>;<span class="comment"></span></div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span> <span class="comment"> /// Enable/disable layer normalization</span></div><div class="line"><a name="l00873"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780"> 873</a></span> <span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>;</div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span> };</div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span> <span class="comment"></span></div><div class="line"><a name="l00876"></a><span class="lineno"> 876</span> <span class="comment">/// A MeanDescriptor for the MeanLayer.</span></div><div class="line"><a name="l00877"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mean_descriptor.xhtml"> 877</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_mean_descriptor.xhtml">MeanDescriptor</a></div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span> {</div><div class="line"><a name="l00879"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mean_descriptor.xhtml#a71ab37b5cafc60ab26a1728354cafe77"> 879</a></span>  <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a71ab37b5cafc60ab26a1728354cafe77">MeanDescriptor</a>()</div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  : m_Axis()</div><div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  , m_KeepDims(<a class="code" href="_cl_layer_tests_8cpp.xhtml#af3b727ae5a13ff472892ab8bda2eb1b5">false</a>)</div><div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  {}</div><div class="line"><a name="l00883"></a><span class="lineno"> 883</span> </div><div class="line"><a name="l00884"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mean_descriptor.xhtml#aeb36ba495f90f46580887217835290ba"> 884</a></span>  <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#aeb36ba495f90f46580887217835290ba">MeanDescriptor</a>(<span class="keyword">const</span> std::vector<unsigned int>& axis, <span class="keywordtype">bool</span> keepDims)</div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  : m_Axis(axis)</div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  , m_KeepDims(keepDims)</div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  {}</div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span> </div><div class="line"><a name="l00889"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mean_descriptor.xhtml#a45ddc9ab5e076c7740d54e0fb74f104c"> 889</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml">MeanDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  <span class="keywordflow">return</span> m_Axis == rhs.<a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a1f0d67b087c491248bd1cde3ff995a95">m_Axis</a> && m_KeepDims == rhs.<a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>;</div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  }</div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span> <span class="comment"></span></div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span> <span class="comment"> /// Values for the dimensions to reduce.</span></div><div class="line"><a name="l00895"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mean_descriptor.xhtml#a1f0d67b087c491248bd1cde3ff995a95"> 895</a></span> <span class="comment"></span> std::vector<unsigned int> <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a1f0d67b087c491248bd1cde3ff995a95">m_Axis</a>;<span class="comment"></span></div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span> <span class="comment"> /// Enable/disable keep dimensions. If true, then the reduced dimensions that are of length 1 are kept.</span></div><div class="line"><a name="l00897"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mean_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9"> 897</a></span> <span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>;</div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span> };</div><div class="line"><a name="l00899"></a><span class="lineno"> 899</span> <span class="comment"></span></div><div class="line"><a name="l00900"></a><span class="lineno"> 900</span> <span class="comment">/// A PadDescriptor for the PadLayer.</span></div><div class="line"><a name="l00901"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pad_descriptor.xhtml"> 901</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a></div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span> {</div><div class="line"><a name="l00903"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pad_descriptor.xhtml#abf96ff8314156a991f72d107d4f325ce"> 903</a></span>  <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#abf96ff8314156a991f72d107d4f325ce">PadDescriptor</a>() : m_PadValue(0)</div><div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  {}</div><div class="line"><a name="l00905"></a><span class="lineno"> 905</span> </div><div class="line"><a name="l00906"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pad_descriptor.xhtml#a66868daa768672bfda2d019a9d2c43ca"> 906</a></span>  <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a66868daa768672bfda2d019a9d2c43ca">PadDescriptor</a>(<span class="keyword">const</span> std::vector<std::pair<unsigned int, unsigned int>>& padList, <span class="keyword">const</span> <span class="keywordtype">float</span>& padValue = 0)</div><div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  : m_PadList(padList)</div><div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  , m_PadValue(padValue)</div><div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  {}</div><div class="line"><a name="l00910"></a><span class="lineno"> 910</span> </div><div class="line"><a name="l00911"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pad_descriptor.xhtml#acd6df4cac247b20fb2b6a1077299cb1f"> 911</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml">PadDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  <span class="keywordflow">return</span> m_PadList == rhs.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> && m_PadValue == rhs.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a410fa919f78af0f0f100bd1594eca4ab">m_PadValue</a>;</div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  }</div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span> <span class="comment"></span></div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span> <span class="comment"> /// @brief Specifies the padding for input dimension.</span></div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span> <span class="comment"> /// First is the number of values to add before the tensor in the dimension.</span></div><div class="line"><a name="l00918"></a><span class="lineno"> 918</span> <span class="comment"> /// Second is the number of values to add after the tensor in the dimension.</span></div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span> <span class="comment"> /// The number of pairs should match the number of dimensions in the input tensor.</span></div><div class="line"><a name="l00920"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3"> 920</a></span> <span class="comment"></span> std::vector<std::pair<unsigned int, unsigned int>> <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>;</div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span> <span class="comment"></span></div><div class="line"><a name="l00922"></a><span class="lineno"> 922</span> <span class="comment"> /// Optional value to use for padding, defaults to 0</span></div><div class="line"><a name="l00923"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pad_descriptor.xhtml#a410fa919f78af0f0f100bd1594eca4ab"> 923</a></span> <span class="comment"></span> <span class="keywordtype">float</span> <a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a410fa919f78af0f0f100bd1594eca4ab">m_PadValue</a>;</div><div class="line"><a name="l00924"></a><span class="lineno"> 924</span> };</div><div class="line"><a name="l00925"></a><span class="lineno"> 925</span> <span class="comment"></span></div><div class="line"><a name="l00926"></a><span class="lineno"> 926</span> <span class="comment">/// A SliceDescriptor for the SliceLayer.</span></div><div class="line"><a name="l00927"></a><span class="lineno"><a class="line" href="structarmnn_1_1_slice_descriptor.xhtml"> 927</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_slice_descriptor.xhtml">SliceDescriptor</a></div><div class="line"><a name="l00928"></a><span class="lineno"> 928</span> {</div><div class="line"><a name="l00929"></a><span class="lineno"><a class="line" href="structarmnn_1_1_slice_descriptor.xhtml#ad4ee7c36b787daa1232528e2f902d8ce"> 929</a></span>  <a class="code" href="structarmnn_1_1_slice_descriptor.xhtml#ad4ee7c36b787daa1232528e2f902d8ce">SliceDescriptor</a>(<span class="keyword">const</span> std::vector<unsigned int>& begin, <span class="keyword">const</span> std::vector<unsigned int>& size)</div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  : m_Begin(begin)</div><div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  , m_Size(size)</div><div class="line"><a name="l00932"></a><span class="lineno"> 932</span>  {}</div><div class="line"><a name="l00933"></a><span class="lineno"> 933</span> </div><div class="line"><a name="l00934"></a><span class="lineno"><a class="line" href="structarmnn_1_1_slice_descriptor.xhtml#a6d81f59d176cf5b1b7f7b16653cb909c"> 934</a></span>  <a class="code" href="structarmnn_1_1_slice_descriptor.xhtml#a6d81f59d176cf5b1b7f7b16653cb909c">SliceDescriptor</a>() : <a class="code" href="structarmnn_1_1_slice_descriptor.xhtml">SliceDescriptor</a>({}, {})</div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span>  {}</div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span> </div><div class="line"><a name="l00937"></a><span class="lineno"><a class="line" href="structarmnn_1_1_slice_descriptor.xhtml#a905d0b4a55652d69f18cef769e6c739f"> 937</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_slice_descriptor.xhtml">SliceDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00938"></a><span class="lineno"> 938</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00939"></a><span class="lineno"> 939</span>  <span class="keywordflow">return</span> m_Begin == rhs.<a class="code" href="structarmnn_1_1_slice_descriptor.xhtml#a4939f00778f08d6c6fec6f74c0a59b7e">m_Begin</a> && m_Size == rhs.<a class="code" href="structarmnn_1_1_slice_descriptor.xhtml#ab52cabf19232290fa6b49828ba957ac0">m_Size</a>;</div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  }</div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span> <span class="comment"></span></div><div class="line"><a name="l00942"></a><span class="lineno"> 942</span> <span class="comment"> /// Beginning indices of the slice in each dimension.</span></div><div class="line"><a name="l00943"></a><span class="lineno"><a class="line" href="structarmnn_1_1_slice_descriptor.xhtml#a4939f00778f08d6c6fec6f74c0a59b7e"> 943</a></span> <span class="comment"></span> std::vector<unsigned int> <a class="code" href="structarmnn_1_1_slice_descriptor.xhtml#a4939f00778f08d6c6fec6f74c0a59b7e">m_Begin</a>;</div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span> <span class="comment"></span></div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span> <span class="comment"> /// Size of the slice in each dimension.</span></div><div class="line"><a name="l00946"></a><span class="lineno"><a class="line" href="structarmnn_1_1_slice_descriptor.xhtml#ab52cabf19232290fa6b49828ba957ac0"> 946</a></span> <span class="comment"></span> std::vector<unsigned int> <a class="code" href="structarmnn_1_1_slice_descriptor.xhtml#ab52cabf19232290fa6b49828ba957ac0">m_Size</a>;</div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span> };</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span> <span class="comment"></span></div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span> <span class="comment">/// A StackDescriptor for the StackLayer.</span></div><div class="line"><a name="l00950"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stack_descriptor.xhtml"> 950</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_stack_descriptor.xhtml">StackDescriptor</a></div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span> {</div><div class="line"><a name="l00952"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stack_descriptor.xhtml#a7174d76ab2205127ef4c2255c7169c5b"> 952</a></span>  <a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#a7174d76ab2205127ef4c2255c7169c5b">StackDescriptor</a>()</div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  : m_Axis(0)</div><div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  , m_NumInputs(0)</div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  , m_InputShape()</div><div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  {}</div><div class="line"><a name="l00957"></a><span class="lineno"> 957</span> </div><div class="line"><a name="l00958"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stack_descriptor.xhtml#ac6edc657f681c74f48d0ce16b26d2e49"> 958</a></span>  <a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#ac6edc657f681c74f48d0ce16b26d2e49">StackDescriptor</a>(uint32_t axis, uint32_t numInputs, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& inputShape)</div><div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  : m_Axis(axis)</div><div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  , m_NumInputs(numInputs)</div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  , m_InputShape(inputShape)</div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  {}</div><div class="line"><a name="l00963"></a><span class="lineno"> 963</span> </div><div class="line"><a name="l00964"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stack_descriptor.xhtml#a826e54f294176588e4f53cf4c4d33734"> 964</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_descriptor.xhtml">StackDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  <span class="keywordflow">return</span> m_Axis == rhs.<a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a> &&</div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  m_NumInputs == rhs.<a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">m_NumInputs</a> &&</div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  m_InputShape == rhs.<a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#a2bea87b470268bb0b73457c3733dbc04">m_InputShape</a>;</div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  }</div><div class="line"><a name="l00970"></a><span class="lineno"> 970</span> <span class="comment"></span></div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span> <span class="comment"> /// 0-based axis along which to stack the input tensors.</span></div><div class="line"><a name="l00972"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stack_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2"> 972</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a>;<span class="comment"></span></div><div class="line"><a name="l00973"></a><span class="lineno"> 973</span> <span class="comment"> /// Number of input tensors.</span></div><div class="line"><a name="l00974"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stack_descriptor.xhtml#aed6086070440ceb94129bef06f70173f"> 974</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">m_NumInputs</a>;<span class="comment"></span></div><div class="line"><a name="l00975"></a><span class="lineno"> 975</span> <span class="comment"> /// Required shape of all input tensors.</span></div><div class="line"><a name="l00976"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stack_descriptor.xhtml#a2bea87b470268bb0b73457c3733dbc04"> 976</a></span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#a2bea87b470268bb0b73457c3733dbc04">m_InputShape</a>;</div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span> };</div><div class="line"><a name="l00978"></a><span class="lineno"> 978</span> <span class="comment"></span></div><div class="line"><a name="l00979"></a><span class="lineno"> 979</span> <span class="comment">/// A StandInDescriptor for the StandIn layer</span></div><div class="line"><a name="l00980"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stand_in_descriptor.xhtml"> 980</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml">StandInDescriptor</a></div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span> {</div><div class="line"><a name="l00982"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stand_in_descriptor.xhtml#afb634876abc8d09178cf2af0f2ca984d"> 982</a></span>  <a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml#afb634876abc8d09178cf2af0f2ca984d">StandInDescriptor</a>() {};</div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span> </div><div class="line"><a name="l00984"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stand_in_descriptor.xhtml#a22073dfd53bf509848f43a2f0d799496"> 984</a></span>  <a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml#a22073dfd53bf509848f43a2f0d799496">StandInDescriptor</a>(uint32_t numInputs, uint32_t numOutputs)</div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  : m_NumInputs(numInputs)</div><div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  , m_NumOutputs(numOutputs)</div><div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  {}</div><div class="line"><a name="l00988"></a><span class="lineno"> 988</span> </div><div class="line"><a name="l00989"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stand_in_descriptor.xhtml#ac2ecc61f3502ac3886226a1b6c02d9b3"> 989</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml">StandInDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l00990"></a><span class="lineno"> 990</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  <span class="keywordflow">return</span> m_NumInputs == rhs.<a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">m_NumInputs</a> &&</div><div class="line"><a name="l00992"></a><span class="lineno"> 992</span>  m_NumOutputs == rhs.<a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml#abb8a2d2bb8cc594c26aaa70c820ac5cc">m_NumOutputs</a>;</div><div class="line"><a name="l00993"></a><span class="lineno"> 993</span>  }</div><div class="line"><a name="l00994"></a><span class="lineno"> 994</span> <span class="comment"></span></div><div class="line"><a name="l00995"></a><span class="lineno"> 995</span> <span class="comment"> /// Number of input tensors</span></div><div class="line"><a name="l00996"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stand_in_descriptor.xhtml#aed6086070440ceb94129bef06f70173f"> 996</a></span> <span class="comment"></span> uint32_t m_NumInputs = 0;<span class="comment"></span></div><div class="line"><a name="l00997"></a><span class="lineno"> 997</span> <span class="comment"> /// Number of output tensors</span></div><div class="line"><a name="l00998"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stand_in_descriptor.xhtml#abb8a2d2bb8cc594c26aaa70c820ac5cc"> 998</a></span> <span class="comment"></span> uint32_t m_NumOutputs = 0;</div><div class="line"><a name="l00999"></a><span class="lineno"> 999</span> };</div><div class="line"><a name="l01000"></a><span class="lineno"> 1000</span> <span class="comment"></span></div><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span> <span class="comment">/// A StridedSliceDescriptor for the StridedSliceLayer.</span></div><div class="line"><a name="l01002"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml"> 1002</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml">StridedSliceDescriptor</a></div><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span> {</div><div class="line"><a name="l01004"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#afeab6350b2194f924f7e73af2f7c0c5c"> 1004</a></span>  <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#afeab6350b2194f924f7e73af2f7c0c5c">StridedSliceDescriptor</a>(<span class="keyword">const</span> std::vector<int>& begin,</div><div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  <span class="keyword">const</span> std::vector<int>& end,</div><div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  <span class="keyword">const</span> std::vector<int>& stride)</div><div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  : m_Begin(begin)</div><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  , m_End(end)</div><div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  , m_Stride(stride)</div><div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>  , m_BeginMask(0)</div><div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  , m_EndMask(0)</div><div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>  , m_ShrinkAxisMask(0)</div><div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  , m_EllipsisMask(0)</div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  , m_NewAxisMask(0)</div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  , m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>  {}</div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span> </div><div class="line"><a name="l01018"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a434e9cc9eba8c408a1c784db20d6ad61"> 1018</a></span>  <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a434e9cc9eba8c408a1c784db20d6ad61">StridedSliceDescriptor</a>()</div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  : <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml">StridedSliceDescriptor</a>({}, {}, {})</div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  {}</div><div class="line"><a name="l01021"></a><span class="lineno"> 1021</span> </div><div class="line"><a name="l01022"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a61b444f8d8445c1144c2126b043ce331"> 1022</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml">StridedSliceDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l01023"></a><span class="lineno"> 1023</span> <span class="keyword"> </span>{</div><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  <span class="keywordflow">return</span> m_Begin == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a118fe06b7c2599da60398ee311ede923">m_Begin</a> &&</div><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  m_End == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#aa68194dd6258ab5b04123005a066ea25">m_End</a> &&</div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  m_Stride == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a0d53caff836b84204adbd1c28752a201">m_Stride</a> &&</div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  m_BeginMask == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a61081be1483984e33db452c75d569f51">m_BeginMask</a> &&</div><div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  m_EndMask == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#ac37e49c0d6e6e54f9d2015d0f11f8ee7">m_EndMask</a> &&</div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  m_ShrinkAxisMask == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6d0384878432cfc9652b7ae8bc59506f">m_ShrinkAxisMask</a> &&</div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  m_EllipsisMask == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#af996d82c47e43a16f4c8faa6c6b3e030">m_EllipsisMask</a> &&</div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  m_NewAxisMask == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a7c91eda2b331d607bae92cd8ebf50bb9">m_NewAxisMask</a> &&</div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  }</div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span> </div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>  <span class="keywordtype">int</span> GetStartForAxis(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& inputShape, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axis) <span class="keyword">const</span>;</div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  <span class="keywordtype">int</span> GetStopForAxis(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& inputShape,</div><div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axis,</div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  <span class="keywordtype">int</span> startForAxis) <span class="keyword">const</span>;</div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span> <span class="comment"></span></div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span> <span class="comment"> /// Begin values for the input that will be sliced.</span></div><div class="line"><a name="l01041"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a118fe06b7c2599da60398ee311ede923"> 1041</a></span> <span class="comment"></span> std::vector<int> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a118fe06b7c2599da60398ee311ede923">m_Begin</a>;<span class="comment"></span></div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span> <span class="comment"> /// End values for the input that will be sliced.</span></div><div class="line"><a name="l01043"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#aa68194dd6258ab5b04123005a066ea25"> 1043</a></span> <span class="comment"></span> std::vector<int> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#aa68194dd6258ab5b04123005a066ea25">m_End</a>;<span class="comment"></span></div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span> <span class="comment"> /// Stride values for the input that will be sliced.</span></div><div class="line"><a name="l01045"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a0d53caff836b84204adbd1c28752a201"> 1045</a></span> <span class="comment"></span> std::vector<int> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a0d53caff836b84204adbd1c28752a201">m_Stride</a>;</div><div class="line"><a name="l01046"></a><span class="lineno"> 1046</span> <span class="comment"></span></div><div class="line"><a name="l01047"></a><span class="lineno"> 1047</span> <span class="comment"> /// @brief Begin mask value. If set, then the begin is disregarded and the fullest</span></div><div class="line"><a name="l01048"></a><span class="lineno"> 1048</span> <span class="comment"> /// range is used for the dimension.</span></div><div class="line"><a name="l01049"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a61081be1483984e33db452c75d569f51"> 1049</a></span> <span class="comment"></span> int32_t <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a61081be1483984e33db452c75d569f51">m_BeginMask</a>;<span class="comment"></span></div><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span> <span class="comment"> /// @brief End mask value. If set, then the end is disregarded and the fullest range</span></div><div class="line"><a name="l01051"></a><span class="lineno"> 1051</span> <span class="comment"> /// is used for the dimension.</span></div><div class="line"><a name="l01052"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#ac37e49c0d6e6e54f9d2015d0f11f8ee7"> 1052</a></span> <span class="comment"></span> int32_t <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#ac37e49c0d6e6e54f9d2015d0f11f8ee7">m_EndMask</a>;<span class="comment"></span></div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span> <span class="comment"> /// Shrink axis mask value. If set, the nth specification shrinks the dimensionality by 1.</span></div><div class="line"><a name="l01054"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6d0384878432cfc9652b7ae8bc59506f"> 1054</a></span> <span class="comment"></span> int32_t <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6d0384878432cfc9652b7ae8bc59506f">m_ShrinkAxisMask</a>;<span class="comment"></span></div><div class="line"><a name="l01055"></a><span class="lineno"> 1055</span> <span class="comment"> /// Ellipsis mask value.</span></div><div class="line"><a name="l01056"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#af996d82c47e43a16f4c8faa6c6b3e030"> 1056</a></span> <span class="comment"></span> int32_t <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#af996d82c47e43a16f4c8faa6c6b3e030">m_EllipsisMask</a>;<span class="comment"></span></div><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span> <span class="comment"> /// @brief New axis mask value. If set, the begin, end and stride is disregarded and</span></div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span> <span class="comment"> /// a new 1 dimension is inserted to this location of the output tensor.</span></div><div class="line"><a name="l01059"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a7c91eda2b331d607bae92cd8ebf50bb9"> 1059</a></span> <span class="comment"></span> int32_t <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a7c91eda2b331d607bae92cd8ebf50bb9">m_NewAxisMask</a>;</div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span> <span class="comment"></span></div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span> <span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l01062"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 1062</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l01063"></a><span class="lineno"> 1063</span> };</div><div class="line"><a name="l01064"></a><span class="lineno"> 1064</span> <span class="comment"></span></div><div class="line"><a name="l01065"></a><span class="lineno"> 1065</span> <span class="comment">/// A PreCompiledDescriptor for the PreCompiledLayer.</span></div><div class="line"><a name="l01066"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pre_compiled_descriptor.xhtml"> 1066</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_pre_compiled_descriptor.xhtml">PreCompiledDescriptor</a></div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span> {</div><div class="line"><a name="l01068"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pre_compiled_descriptor.xhtml#a6be5287e50fca444cd42986e47ab75db"> 1068</a></span>  <a class="code" href="structarmnn_1_1_pre_compiled_descriptor.xhtml#a6be5287e50fca444cd42986e47ab75db">PreCompiledDescriptor</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputSlots = 1u, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputSlots = 1u)</div><div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>  : m_NumInputSlots(numInputSlots), m_NumOutputSlots(numOutputSlots)</div><div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>  {}</div><div class="line"><a name="l01071"></a><span class="lineno"> 1071</span> </div><div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>  ~<a class="code" href="structarmnn_1_1_pre_compiled_descriptor.xhtml">PreCompiledDescriptor</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l01073"></a><span class="lineno"> 1073</span> </div><div class="line"><a name="l01074"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pre_compiled_descriptor.xhtml#aebc22128191c14a59356453600833344"> 1074</a></span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="structarmnn_1_1_pre_compiled_descriptor.xhtml#aebc22128191c14a59356453600833344">m_NumInputSlots</a>;</div><div class="line"><a name="l01075"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pre_compiled_descriptor.xhtml#a19244e2574820c8ab69b1559d8638a61"> 1075</a></span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="structarmnn_1_1_pre_compiled_descriptor.xhtml#a19244e2574820c8ab69b1559d8638a61">m_NumOutputSlots</a>;</div><div class="line"><a name="l01076"></a><span class="lineno"> 1076</span> };</div><div class="line"><a name="l01077"></a><span class="lineno"> 1077</span> <span class="comment"></span></div><div class="line"><a name="l01078"></a><span class="lineno"> 1078</span> <span class="comment">/// A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer.</span></div><div class="line"><a name="l01079"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml"> 1079</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">TransposeConvolution2dDescriptor</a></div><div class="line"><a name="l01080"></a><span class="lineno"> 1080</span> {</div><div class="line"><a name="l01081"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ad2246752a0ac080cfa2e815c6528acf9"> 1081</a></span>  <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ad2246752a0ac080cfa2e815c6528acf9">TransposeConvolution2dDescriptor</a>() :</div><div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  m_PadLeft(0),</div><div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  m_PadRight(0),</div><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>  m_PadTop(0),</div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  m_PadBottom(0),</div><div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>  m_StrideX(0),</div><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  m_StrideY(0),</div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  m_BiasEnabled(<a class="code" href="_cl_layer_tests_8cpp.xhtml#af3b727ae5a13ff472892ab8bda2eb1b5">false</a>),</div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>  m_DataLayout(<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  {}</div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span> </div><div class="line"><a name="l01092"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aeda9d4e5d384ce5919425df001f49751"> 1092</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">TransposeConvolution2dDescriptor</a>& rhs)<span class="keyword"> const</span></div><div class="line"><a name="l01093"></a><span class="lineno"> 1093</span> <span class="keyword"> </span>{</div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  <span class="keywordflow">return</span> m_PadLeft == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> &&</div><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>  m_PadRight == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> &&</div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  m_PadTop == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> &&</div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>  m_PadBottom == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> &&</div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>  m_StrideX == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> &&</div><div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>  m_StrideY == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> &&</div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>  m_BiasEnabled == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> &&</div><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>  m_DataLayout == rhs.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  }</div><div class="line"><a name="l01103"></a><span class="lineno"> 1103</span> <span class="comment"></span></div><div class="line"><a name="l01104"></a><span class="lineno"> 1104</span> <span class="comment"> /// Padding left value in the width dimension.</span></div><div class="line"><a name="l01105"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600"> 1105</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>;<span class="comment"></span></div><div class="line"><a name="l01106"></a><span class="lineno"> 1106</span> <span class="comment"> /// Padding right value in the width dimension.</span></div><div class="line"><a name="l01107"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7"> 1107</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>;<span class="comment"></span></div><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span> <span class="comment"> /// Padding top value in the height dimension.</span></div><div class="line"><a name="l01109"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046"> 1109</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>;<span class="comment"></span></div><div class="line"><a name="l01110"></a><span class="lineno"> 1110</span> <span class="comment"> /// Padding bottom value in the height dimension.</span></div><div class="line"><a name="l01111"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618"> 1111</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>;<span class="comment"></span></div><div class="line"><a name="l01112"></a><span class="lineno"> 1112</span> <span class="comment"> /// Stride value when proceeding through input for the width dimension.</span></div><div class="line"><a name="l01113"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda"> 1113</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>;<span class="comment"></span></div><div class="line"><a name="l01114"></a><span class="lineno"> 1114</span> <span class="comment"> /// Stride value when proceeding through input for the height dimension.</span></div><div class="line"><a name="l01115"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8"> 1115</a></span> <span class="comment"></span> uint32_t <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>;<span class="comment"></span></div><div class="line"><a name="l01116"></a><span class="lineno"> 1116</span> <span class="comment"> /// Enable/disable bias.</span></div><div class="line"><a name="l01117"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25"> 1117</a></span> <span class="comment"></span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>;<span class="comment"></span></div><div class="line"><a name="l01118"></a><span class="lineno"> 1118</span> <span class="comment"> /// The data layout to be used (NCHW, NHWC).</span></div><div class="line"><a name="l01119"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a"> 1119</a></span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l01120"></a><span class="lineno"> 1120</span> };</div><div class="line"><a name="l01121"></a><span class="lineno"> 1121</span> <span class="comment"></span></div><div class="line"><a name="l01122"></a><span class="lineno"> 1122</span> <span class="comment">/// A TransposeDescriptor for the TransposeLayer.</span></div><div class="line"><a name="l01123"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_descriptor.xhtml"> 1123</a></span> <span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml">TransposeDescriptor</a></div><div class="line"><a name="l01124"></a><span class="lineno"> 1124</span> {</div><div class="line"><a name="l01125"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_descriptor.xhtml#af4d882230882f20ef1500510e5ff4c87"> 1125</a></span>  <a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml#af4d882230882f20ef1500510e5ff4c87">TransposeDescriptor</a>()</div><div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>  : m_DimMappings{}</div><div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>  {}</div><div class="line"><a name="l01128"></a><span class="lineno"> 1128</span> </div><div class="line"><a name="l01129"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_descriptor.xhtml#ae7fbf819ce2bbdbdc55d546dd40a1213"> 1129</a></span>  <a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml#ae7fbf819ce2bbdbdc55d546dd40a1213">TransposeDescriptor</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_permutation_vector.xhtml">PermutationVector</a>& dimMappings)</div><div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>  : m_DimMappings(dimMappings)</div><div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>  {}</div><div class="line"><a name="l01132"></a><span class="lineno"> 1132</span> </div><div class="line"><a name="l01133"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_descriptor.xhtml#a08d0e3a8b7b074f7c101366f0d431c47"> 1133</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">operator ==</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml">TransposeDescriptor</a> &rhs)<span class="keyword"> const</span></div><div class="line"><a name="l01134"></a><span class="lineno"> 1134</span> <span class="keyword"> </span>{</div><div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>  <span class="keywordflow">return</span> m_DimMappings.IsEqual(rhs.<a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>);</div><div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>  }</div><div class="line"><a name="l01137"></a><span class="lineno"> 1137</span> <span class="comment"></span></div><div class="line"><a name="l01138"></a><span class="lineno"> 1138</span> <span class="comment"> /// @brief Indicates how to translate tensor elements from a given source into the target destination, when</span></div><div class="line"><a name="l01139"></a><span class="lineno"> 1139</span> <span class="comment"> /// source and target potentially have different memory layouts e.g. {0U, 3U, 1U, 2U}.</span></div><div class="line"><a name="l01140"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f"> 1140</a></span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_permutation_vector.xhtml">PermutationVector</a> <a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>;</div><div class="line"><a name="l01141"></a><span class="lineno"> 1141</span> };</div><div class="line"><a name="l01142"></a><span class="lineno"> 1142</span> </div><div class="line"><a name="l01143"></a><span class="lineno"> 1143</span> } <span class="comment">// namespace armnn</span></div><div class="ttc" id="structarmnn_1_1_elementwise_unary_descriptor_xhtml_a6b7d869ff464fce01745b97f89cc1a02"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a6b7d869ff464fce01745b97f89cc1a02">armnn::ElementwiseUnaryDescriptor::ElementwiseUnaryDescriptor</a></div><div class="ttdeci">ElementwiseUnaryDescriptor(UnaryOperation operation)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00088">Descriptors.hpp:88</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::Convolution2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00428">Descriptors.hpp:428</a></div></div> +<div class="ttc" id="structarmnn_1_1_permute_descriptor_xhtml_a89323bcff3f2fad728ddb0ba2673049f"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml#a89323bcff3f2fad728ddb0ba2673049f">armnn::PermuteDescriptor::PermuteDescriptor</a></div><div class="ttdeci">PermuteDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00104">Descriptors.hpp:104</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::Convolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00438">Descriptors.hpp:438</a></div></div> +<div class="ttc" id="structarmnn_1_1_l2_normalization_descriptor_xhtml_a11c821c7524251004a72ed13c510853c"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">armnn::L2NormalizationDescriptor::m_Eps</a></div><div class="ttdeci">float m_Eps</div><div class="ttdoc">Used to avoid dividing by zero. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00604">Descriptors.hpp:604</a></div></div> +<div class="ttc" id="structarmnn_1_1_mean_descriptor_xhtml_aeb36ba495f90f46580887217835290ba"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml#aeb36ba495f90f46580887217835290ba">armnn::MeanDescriptor::MeanDescriptor</a></div><div class="ttdeci">MeanDescriptor(const std::vector< unsigned int > &axis, bool keepDims)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00884">Descriptors.hpp:884</a></div></div> +<div class="ttc" id="structarmnn_1_1_comparison_descriptor_xhtml_abe82a976e89ae4dd12f3991c167ffed3"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml#abe82a976e89ae4dd12f3991c167ffed3">armnn::ComparisonDescriptor::ComparisonDescriptor</a></div><div class="ttdeci">ComparisonDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00064">Descriptors.hpp:64</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a6c9de81fc65b3c4924cab11907075a17"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">armnn::LstmDescriptor::m_ProjectionEnabled</a></div><div class="ttdeci">bool m_ProjectionEnabled</div><div class="ttdoc">Enable/disable the projection layer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00871">Descriptors.hpp:871</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::Convolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00440">Descriptors.hpp:440</a></div></div> +<div class="ttc" id="structarmnn_1_1_pre_compiled_descriptor_xhtml_a6be5287e50fca444cd42986e47ab75db"><div class="ttname"><a href="structarmnn_1_1_pre_compiled_descriptor.xhtml#a6be5287e50fca444cd42986e47ab75db">armnn::PreCompiledDescriptor::PreCompiledDescriptor</a></div><div class="ttdeci">PreCompiledDescriptor(unsigned int numInputSlots=1u, unsigned int numOutputSlots=1u)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01068">Descriptors.hpp:1068</a></div></div> +<div class="ttc" id="structarmnn_1_1_mean_descriptor_xhtml_a71ab37b5cafc60ab26a1728354cafe77"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml#a71ab37b5cafc60ab26a1728354cafe77">armnn::MeanDescriptor::MeanDescriptor</a></div><div class="ttdeci">MeanDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00879">Descriptors.hpp:879</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_ad2246752a0ac080cfa2e815c6528acf9"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ad2246752a0ac080cfa2e815c6528acf9">armnn::TransposeConvolution2dDescriptor::TransposeConvolution2dDescriptor</a></div><div class="ttdeci">TransposeConvolution2dDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01081">Descriptors.hpp:1081</a></div></div> +<div class="ttc" id="structarmnn_1_1_slice_descriptor_xhtml_ad4ee7c36b787daa1232528e2f902d8ce"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml#ad4ee7c36b787daa1232528e2f902d8ce">armnn::SliceDescriptor::SliceDescriptor</a></div><div class="ttdeci">SliceDescriptor(const std::vector< unsigned int > &begin, const std::vector< unsigned int > &size)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00929">Descriptors.hpp:929</a></div></div> +<div class="ttc" id="structarmnn_1_1_elementwise_unary_descriptor_xhtml_afe768be66897eb3d73284424e3239b23"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#afe768be66897eb3d73284424e3239b23">armnn::ElementwiseUnaryDescriptor::m_Operation</a></div><div class="ttdeci">UnaryOperation m_Operation</div><div class="ttdoc">Specifies the elementwiseUnary operation to execute. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00098">Descriptors.hpp:98</a></div></div> +<div class="ttc" id="structarmnn_1_1_stack_descriptor_xhtml_ab218de7805899c8412d75d1fd1d846d2"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">armnn::StackDescriptor::m_Axis</a></div><div class="ttdeci">uint32_t m_Axis</div><div class="ttdoc">0-based axis along which to stack the input tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00972">Descriptors.hpp:972</a></div></div> +<div class="ttc" id="structarmnn_1_1_views_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml">armnn::ViewsDescriptor</a></div><div class="ttdoc">A ViewsDescriptor for the SplitterLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00190">Descriptors.hpp:190</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_ab509802c659de19929f18bad14a35c58"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ab509802c659de19929f18bad14a35c58">armnn::DetectionPostProcessDescriptor::m_ScaleW</a></div><div class="ttdeci">float m_ScaleW</div><div class="ttdoc">Center size encoding scale weight. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00545">Descriptors.hpp:545</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a223ddc6ec23fbfa317b41ac45199b296"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a223ddc6ec23fbfa317b41ac45199b296">armnn::Pooling2dDescriptor::Pooling2dDescriptor</a></div><div class="ttdeci">Pooling2dDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00315">Descriptors.hpp:315</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::Pooling2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00355">Descriptors.hpp:355</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::DepthwiseConvolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00490">Descriptors.hpp:490</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00049">Types.hpp:49</a></div></div> +<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_a8526ea7cf860d8e7f8340e9f9354f9f0"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a8526ea7cf860d8e7f8340e9f9354f9f0">armnn::NormalizationDescriptor::m_K</a></div><div class="ttdeci">float m_K</div><div class="ttdoc">Kappa value used for the across channel normalization equation. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00585">Descriptors.hpp:585</a></div></div> +<div class="ttc" id="structarmnn_1_1_softmax_descriptor_xhtml_a214c3636fdf0ea5bac8edb42d0e6c7f0"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">armnn::SoftmaxDescriptor::m_Axis</a></div><div class="ttdeci">int m_Axis</div><div class="ttdoc">Scalar, defaulted to the last index (-1), specifying the dimension the activation will be performed o...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00138">Descriptors.hpp:138</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml">armnn::TransposeConvolution2dDescriptor</a></div><div class="ttdoc">A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01079">Descriptors.hpp:1079</a></div></div> +<div class="ttc" id="_tensor_8hpp_xhtml"><div class="ttname"><a href="_tensor_8hpp.xhtml">Tensor.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::DepthwiseConvolution2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00480">Descriptors.hpp:480</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::Pooling2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00349">Descriptors.hpp:349</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a86e88bef0df4df96df752b4b8955a3af"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a86e88bef0df4df96df752b4b8955a3af">armnn::LstmDescriptor::m_ClippingThresProj</a></div><div class="ttdeci">float m_ClippingThresProj</div><div class="ttdoc">Clipping threshold value for the projection. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00865">Descriptors.hpp:865</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a2d299363c9fc33334c571fa29ca4f58caf5f286e73bda105e538310b3190f75c5"><div class="ttname"><a href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58caf5f286e73bda105e538310b3190f75c5">armnn::ComparisonOperation::Equal</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a14d7f180bf51e86850305965c3707e07"><div class="ttname"><a href="namespacearmnn.xhtml#a14d7f180bf51e86850305965c3707e07">armnn::swap</a></div><div class="ttdeci">void swap(OriginsDescriptor &first, OriginsDescriptor &second)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00342">Descriptors.cpp:342</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a6d0384878432cfc9652b7ae8bc59506f"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6d0384878432cfc9652b7ae8bc59506f">armnn::StridedSliceDescriptor::m_ShrinkAxisMask</a></div><div class="ttdeci">int32_t m_ShrinkAxisMask</div><div class="ttdoc">Shrink axis mask value. If set, the nth specification shrinks the dimensionality by 1...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01054">Descriptors.hpp:1054</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3"><div class="ttname"><a href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">armnn::OutputShapeRounding::Floor</a></div></div> +<div class="ttc" id="structarmnn_1_1_reshape_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.xhtml">armnn::ReshapeDescriptor</a></div><div class="ttdoc">A ReshapeDescriptor for the ReshapeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00758">Descriptors.hpp:758</a></div></div> +<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_a8adc7995fc87683fb9a99b3a161904c6"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a8adc7995fc87683fb9a99b3a161904c6">armnn::NormalizationDescriptor::NormalizationDescriptor</a></div><div class="ttdeci">NormalizationDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00553">Descriptors.hpp:553</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a118fe06b7c2599da60398ee311ede923"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a118fe06b7c2599da60398ee311ede923">armnn::StridedSliceDescriptor::m_Begin</a></div><div class="ttdeci">std::vector< int > m_Begin</div><div class="ttdoc">Begin values for the input that will be sliced. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01041">Descriptors.hpp:1041</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a434e9cc9eba8c408a1c784db20d6ad61"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a434e9cc9eba8c408a1c784db20d6ad61">armnn::StridedSliceDescriptor::StridedSliceDescriptor</a></div><div class="ttdeci">StridedSliceDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01018">Descriptors.hpp:1018</a></div></div> +<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml_a410fa919f78af0f0f100bd1594eca4ab"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a410fa919f78af0f0f100bd1594eca4ab">armnn::PadDescriptor::m_PadValue</a></div><div class="ttdeci">float m_PadValue</div><div class="ttdoc">Optional value to use for padding, defaults to 0. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00923">Descriptors.hpp:923</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::DepthwiseConvolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00492">Descriptors.hpp:492</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::StridedSliceDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01062">Descriptors.hpp:1062</a></div></div> +<div class="ttc" id="structarmnn_1_1_comparison_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml">armnn::ComparisonDescriptor</a></div><div class="ttdoc">A ComparisonDescriptor for the ComparisonLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00062">Descriptors.hpp:62</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_ae64523937ea910030ad66fee6fddd51f"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae64523937ea910030ad66fee6fddd51f">armnn::DetectionPostProcessDescriptor::m_ScaleX</a></div><div class="ttdeci">float m_ScaleX</div><div class="ttdoc">Center size encoding scale x. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00541">Descriptors.hpp:541</a></div></div> +<div class="ttc" id="structarmnn_1_1_stack_descriptor_xhtml_a2bea87b470268bb0b73457c3733dbc04"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml#a2bea87b470268bb0b73457c3733dbc04">armnn::StackDescriptor::m_InputShape</a></div><div class="ttdeci">TensorShape m_InputShape</div><div class="ttdoc">Required shape of all input tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00976">Descriptors.hpp:976</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_bilinear_descriptor_xhtml_adcf5037208faac36c0788239a073f75c"><div class="ttname"><a href="structarmnn_1_1_resize_bilinear_descriptor.xhtml#adcf5037208faac36c0788239a073f75c">armnn::ResizeBilinearDescriptor::m_TargetWidth</a></div><div class="ttdeci">uint32_t m_TargetWidth</div><div class="ttdoc">Target width value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00716">Descriptors.hpp:716</a></div></div> +<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_xhtml_a281fcaec86e17c97f7b8402633f6b55a"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml#a281fcaec86e17c97f7b8402633f6b55a">armnn::FullyConnectedDescriptor::m_TransposeWeightMatrix</a></div><div class="ttdeci">bool m_TransposeWeightMatrix</div><div class="ttdoc">Enable/disable transpose weight matrix. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00388">Descriptors.hpp:388</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_bilinear_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_resize_bilinear_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::ResizeBilinearDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00720">Descriptors.hpp:720</a></div></div> +<div class="ttc" id="structarmnn_1_1_fake_quantization_descriptor_xhtml_a4c14a8e0d126891dd0c38e7584312bfd"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.xhtml#a4c14a8e0d126891dd0c38e7584312bfd">armnn::FakeQuantizationDescriptor::m_Min</a></div><div class="ttdeci">float m_Min</div><div class="ttdoc">Minimum value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00701">Descriptors.hpp:701</a></div></div> +<div class="ttc" id="structarmnn_1_1_permute_descriptor_xhtml_abaafe52396509f67f8cde6578c75df01"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml#abaafe52396509f67f8cde6578c75df01">armnn::PermuteDescriptor::PermuteDescriptor</a></div><div class="ttdeci">PermuteDescriptor(const PermutationVector &dimMappings)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00108">Descriptors.hpp:108</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a6d8fb685cc1ff224f25aa127fcf62c86"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">armnn::Pooling2dDescriptor::m_PoolWidth</a></div><div class="ttdeci">uint32_t m_PoolWidth</div><div class="ttdoc">Pooling width value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00357">Descriptors.hpp:357</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00392">Descriptors.hpp:392</a></div></div> +<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_a174279be57d7596eeb04c6b7f7510f99"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a174279be57d7596eeb04c6b7f7510f99">armnn::NormalizationDescriptor::m_Alpha</a></div><div class="ttdeci">float m_Alpha</div><div class="ttdoc">Alpha value for the normalization equation. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00581">Descriptors.hpp:581</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::DepthwiseConvolution2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00474">Descriptors.hpp:474</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::TransposeConvolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01117">Descriptors.hpp:1117</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_a869254cb56968986a78a79e1d6d4a86b"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a869254cb56968986a78a79e1d6d4a86b">armnn::ResizeDescriptor::m_Method</a></div><div class="ttdeci">ResizeMethod m_Method</div><div class="ttdoc">The Interpolation method to use (Bilinear, NearestNeighbor). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00749">Descriptors.hpp:749</a></div></div> +<div class="ttc" id="structarmnn_1_1_instance_normalization_descriptor_xhtml_a5e078fd505aef7bccaa05c8058e096cc"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a5e078fd505aef7bccaa05c8058e096cc">armnn::InstanceNormalizationDescriptor::m_Gamma</a></div><div class="ttdeci">float m_Gamma</div><div class="ttdoc">Gamma, the scale scalar value applied for the normalized tensor. Defaults to 1.0. ...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00647">Descriptors.hpp:647</a></div></div> +<div class="ttc" id="structarmnn_1_1_softmax_descriptor_xhtml_a8275d51ef9a584feb95726ea0522f6e5"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">armnn::SoftmaxDescriptor::m_Beta</a></div><div class="ttdeci">float m_Beta</div><div class="ttdoc">Exponentiation value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00136">Descriptors.hpp:136</a></div></div> +<div class="ttc" id="structarmnn_1_1_slice_descriptor_xhtml_ab52cabf19232290fa6b49828ba957ac0"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml#ab52cabf19232290fa6b49828ba957ac0">armnn::SliceDescriptor::m_Size</a></div><div class="ttdeci">std::vector< unsigned int > m_Size</div><div class="ttdoc">Size of the slice in each dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00946">Descriptors.hpp:946</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a3888429b6ebc79f9a7df549e5e4d9a2fa843f2812f595e7ec7c5036e89fde02d6"><div class="ttname"><a href="namespacearmnn.xhtml#a3888429b6ebc79f9a7df549e5e4d9a2fa843f2812f595e7ec7c5036e89fde02d6">armnn::PaddingMethod::Exclude</a></div><div class="ttdoc">The padding fields don&#39;t count and are ignored. </div></div> +<div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_xhtml_a11c821c7524251004a72ed13c510853c"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">armnn::BatchNormalizationDescriptor::m_Eps</a></div><div class="ttdeci">float m_Eps</div><div class="ttdoc">Value to add to the variance. Used to avoid dividing by zero. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00623">Descriptors.hpp:623</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a8c29d6ea9b4186d69aad5961c910939c"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a8c29d6ea9b4186d69aad5961c910939c">armnn::Pooling2dDescriptor::m_PaddingMethod</a></div><div class="ttdeci">PaddingMethod m_PaddingMethod</div><div class="ttdoc">The padding method to be used. (Exclude, IgnoreValue). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00367">Descriptors.hpp:367</a></div></div> +<div class="ttc" id="structarmnn_1_1_arg_min_max_descriptor_xhtml_ab1ae6f520bb1a4da191a0ae907477f23"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml#ab1ae6f520bb1a4da191a0ae907477f23">armnn::ArgMinMaxDescriptor::m_Function</a></div><div class="ttdeci">ArgMinMaxFunction m_Function</div><div class="ttdoc">Specify if the function is to find Min or Max. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00056">Descriptors.hpp:56</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a7e2f87544b8bc7e497e1dec8d3ca4055"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7e2f87544b8bc7e497e1dec8d3ca4055">armnn::DetectionPostProcessDescriptor::m_DetectionsPerClass</a></div><div class="ttdeci">uint32_t m_DetectionsPerClass</div><div class="ttdoc">Detections per classes, used in Regular NMS. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00531">Descriptors.hpp:531</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::BatchNormalizationDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00625">Descriptors.hpp:625</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_abe18a5033f2ab9c0de82c676b48f5437"><div class="ttname"><a href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437">armnn::NormalizationAlgorithmChannel</a></div><div class="ttdeci">NormalizationAlgorithmChannel</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00126">Types.hpp:126</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::BatchToSpaceNdDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00684">Descriptors.hpp:684</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_xhtml_a2b53a866f5baae6a357bf034019e0ff3"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a2b53a866f5baae6a357bf034019e0ff3">armnn::BatchToSpaceNdDescriptor::BatchToSpaceNdDescriptor</a></div><div class="ttdeci">BatchToSpaceNdDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00659">Descriptors.hpp:659</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa1e34af023adeb7d5f484f8eb4b9826b6">armnn::ActivationFunction::Abs</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a57980de0f72e982a3d0963f5fb557454"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a57980de0f72e982a3d0963f5fb557454">armnn::ActivationDescriptor::operator==</a></div><div class="ttdeci">bool operator==(const ActivationDescriptor &rhs) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00028">Descriptors.hpp:28</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::Pooling2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00353">Descriptors.hpp:353</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a></div></div> +<div class="ttc" id="structarmnn_1_1_slice_descriptor_xhtml_a6d81f59d176cf5b1b7f7b16653cb909c"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml#a6d81f59d176cf5b1b7f7b16653cb909c">armnn::SliceDescriptor::SliceDescriptor</a></div><div class="ttdeci">SliceDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00934">Descriptors.hpp:934</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a4a6bc0b32c1db8d15971cae0ed4483a1"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a4a6bc0b32c1db8d15971cae0ed4483a1">armnn::LstmDescriptor::LstmDescriptor</a></div><div class="ttdeci">LstmDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00839">Descriptors.hpp:839</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::Convolution2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00424">Descriptors.hpp:424</a></div></div> +<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::NormalizationDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00587">Descriptors.hpp:587</a></div></div> +<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::m_PadList</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > m_PadList</div><div class="ttdoc">Specifies the padding for input dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00920">Descriptors.hpp:920</a></div></div> +<div class="ttc" id="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="_cl_layer_tests_8cpp_xhtml_a37f1c3ccc9fc906be85185350dd83d48"><div class="ttname"><a href="_cl_layer_tests_8cpp.xhtml#a37f1c3ccc9fc906be85185350dd83d48">true</a></div><div class="ttdeci">DataLayout::NCHW DataLayout::NCHW DataLayout::NHWC DataLayout::NHWC true</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_tests_8cpp_source.xhtml#l00202">ClLayerTests.cpp:202</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::TransposeConvolution2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01111">Descriptors.hpp:1111</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a61081be1483984e33db452c75d569f51"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a61081be1483984e33db452c75d569f51">armnn::StridedSliceDescriptor::m_BeginMask</a></div><div class="ttdeci">int32_t m_BeginMask</div><div class="ttdoc">Begin mask value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01049">Descriptors.hpp:1049</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">armnn::Convolution2dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation along y axis. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00436">Descriptors.hpp:436</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_ac37e49c0d6e6e54f9d2015d0f11f8ee7"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#ac37e49c0d6e6e54f9d2015d0f11f8ee7">armnn::StridedSliceDescriptor::m_EndMask</a></div><div class="ttdeci">int32_t m_EndMask</div><div class="ttdoc">End mask value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01052">Descriptors.hpp:1052</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml">armnn::SpaceToDepthDescriptor</a></div><div class="ttdoc">A SpaceToDepthDescriptor for the SpaceToDepthLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00810">Descriptors.hpp:810</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a961bbfe1db71a848eff5a1f0ab775718"><div class="ttname"><a href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718">armnn::PoolingAlgorithm</a></div><div class="ttdeci">PoolingAlgorithm</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00096">Types.hpp:96</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">armnn::SpaceToBatchNdDescriptor::m_PadList</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > m_PadList</div><div class="ttdoc">Specifies the padding values for the input dimension: heightPad{top, bottom} widthPad{left, right}. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00804">Descriptors.hpp:804</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">armnn::DepthwiseConvolution2dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation factor value for height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00488">Descriptors.hpp:488</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_afeab6350b2194f924f7e73af2f7c0c5c"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#afeab6350b2194f924f7e73af2f7c0c5c">armnn::StridedSliceDescriptor::StridedSliceDescriptor</a></div><div class="ttdeci">StridedSliceDescriptor(const std::vector< int > &begin, const std::vector< int > &end, const std::vector< int > &stride)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01004">Descriptors.hpp:1004</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml">armnn::BatchToSpaceNdDescriptor</a></div><div class="ttdoc">A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00657">Descriptors.hpp:657</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::Pooling2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00361">Descriptors.hpp:361</a></div></div> +<div class="ttc" id="structarmnn_1_1_permute_descriptor_xhtml_a14433af2b223695b40d8c8f8ba2ebb8f"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">armnn::PermuteDescriptor::m_DimMappings</a></div><div class="ttdeci">PermutationVector m_DimMappings</div><div class="ttdoc">Indicates how to translate tensor elements from a given source into the target destination, when source and target potentially have different memory layouts e.g. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00119">Descriptors.hpp:119</a></div></div> +<div class="ttc" id="_cl_layer_tests_8cpp_xhtml_af3b727ae5a13ff472892ab8bda2eb1b5"><div class="ttname"><a href="_cl_layer_tests_8cpp.xhtml#af3b727ae5a13ff472892ab8bda2eb1b5">false</a></div><div class="ttdeci">DataLayout::NHWC false</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_tests_8cpp_source.xhtml#l00129">ClLayerTests.cpp:129</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a2fe587812a8dd3e7d7419cbb84a7f4ff"><div class="ttname"><a href="namespacearmnn.xhtml#a2fe587812a8dd3e7d7419cbb84a7f4ff">armnn::CreateMergerDescriptorForConcatenation</a></div><div class="ttdeci">OriginsDescriptor CreateMergerDescriptorForConcatenation(TensorShapeIt first, TensorShapeIt last, unsigned int concatenationDimension)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00232">Descriptors.hpp:232</a></div></div> +<div class="ttc" id="structarmnn_1_1_stand_in_descriptor_xhtml_abb8a2d2bb8cc594c26aaa70c820ac5cc"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml#abb8a2d2bb8cc594c26aaa70c820ac5cc">armnn::StandInDescriptor::m_NumOutputs</a></div><div class="ttdeci">uint32_t m_NumOutputs</div><div class="ttdoc">Number of output tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00998">Descriptors.hpp:998</a></div></div> +<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_a05945f080edf694b631960728b87aadb"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a05945f080edf694b631960728b87aadb">armnn::NormalizationDescriptor::m_NormMethodType</a></div><div class="ttdeci">NormalizationAlgorithmMethod m_NormMethodType</div><div class="ttdoc">Normalization method algorithm to use (LocalBrightness, LocalContrast). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00577">Descriptors.hpp:577</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml">armnn::ResizeDescriptor</a></div><div class="ttdoc">A ResizeDescriptor for the ResizeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00724">Descriptors.hpp:724</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a3888429b6ebc79f9a7df549e5e4d9a2f"><div class="ttname"><a href="namespacearmnn.xhtml#a3888429b6ebc79f9a7df549e5e4d9a2f">armnn::PaddingMethod</a></div><div class="ttdeci">PaddingMethod</div><div class="ttdoc">The padding method modifies the output of pooling layers. </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00118">Types.hpp:118</a></div></div> +<div class="ttc" id="structarmnn_1_1_l2_normalization_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::L2NormalizationDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00606">Descriptors.hpp:606</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a9ae2c9796692ebeafe19a4d3f09c8ea8"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a9ae2c9796692ebeafe19a4d3f09c8ea8">armnn::DetectionPostProcessDescriptor::m_MaxClassesPerDetection</a></div><div class="ttdeci">uint32_t m_MaxClassesPerDetection</div><div class="ttdoc">Maximum numbers of classes per detection, used in Fast NMS. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00529">Descriptors.hpp:529</a></div></div> +<div class="ttc" id="structarmnn_1_1_mean_descriptor_xhtml_a1f0d67b087c491248bd1cde3ff995a95"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml#a1f0d67b087c491248bd1cde3ff995a95">armnn::MeanDescriptor::m_Axis</a></div><div class="ttdeci">std::vector< unsigned int > m_Axis</div><div class="ttdoc">Values for the dimensions to reduce. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00895">Descriptors.hpp:895</a></div></div> +<div class="ttc" id="structarmnn_1_1_stack_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml">armnn::StackDescriptor</a></div><div class="ttdoc">A StackDescriptor for the StackLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00950">Descriptors.hpp:950</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::SpaceToBatchNdDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00806">Descriptors.hpp:806</a></div></div> +<div class="ttc" id="structarmnn_1_1_l2_normalization_descriptor_xhtml_a7c758226ee35a1387dff4fb8a5f14948"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.xhtml#a7c758226ee35a1387dff4fb8a5f14948">armnn::L2NormalizationDescriptor::L2NormalizationDescriptor</a></div><div class="ttdeci">L2NormalizationDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00593">Descriptors.hpp:593</a></div></div> +<div class="ttc" id="structarmnn_1_1_reshape_descriptor_xhtml_a1178f4dafdda81f59c15145ec327f7d9"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.xhtml#a1178f4dafdda81f59c15145ec327f7d9">armnn::ReshapeDescriptor::m_TargetShape</a></div><div class="ttdeci">TensorShape m_TargetShape</div><div class="ttdoc">Target shape value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00774">Descriptors.hpp:774</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_a2c16307e3575b3bfcd9d33a3923bec73"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a2c16307e3575b3bfcd9d33a3923bec73">armnn::ResizeDescriptor::ResizeDescriptor</a></div><div class="ttdeci">ResizeDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00726">Descriptors.hpp:726</a></div></div> +<div class="ttc" id="structarmnn_1_1_comparison_descriptor_xhtml_abc1707b90d0ceb3594945256af70c839"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml#abc1707b90d0ceb3594945256af70c839">armnn::ComparisonDescriptor::ComparisonDescriptor</a></div><div class="ttdeci">ComparisonDescriptor(ComparisonOperation operation)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00068">Descriptors.hpp:68</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a5699e8606c37d18c03910b242cd1b010"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">armnn::Pooling2dDescriptor::m_PoolHeight</a></div><div class="ttdeci">uint32_t m_PoolHeight</div><div class="ttdoc">Pooling height value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00359">Descriptors.hpp:359</a></div></div> +<div class="ttc" id="structarmnn_1_1_reshape_descriptor_xhtml_aa56cfbc7e14b271ba389e064a769e2f2"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.xhtml#aa56cfbc7e14b271ba389e064a769e2f2">armnn::ReshapeDescriptor::ReshapeDescriptor</a></div><div class="ttdeci">ReshapeDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00760">Descriptors.hpp:760</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_ab297e72fab7f2ebba2ffd05b11bfbf7a"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#ab297e72fab7f2ebba2ffd05b11bfbf7a">armnn::Convolution2dDescriptor::Convolution2dDescriptor</a></div><div class="ttdeci">Convolution2dDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00394">Descriptors.hpp:394</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::Convolution2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00426">Descriptors.hpp:426</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_ae72089bcab60ac175557f4241b16a014"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014">armnn::DetectionPostProcessDescriptor::m_MaxDetections</a></div><div class="ttdeci">uint32_t m_MaxDetections</div><div class="ttdoc">Maximum numbers of detections. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00527">Descriptors.hpp:527</a></div></div> +<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml">armnn::PadDescriptor</a></div><div class="ttdoc">A PadDescriptor for the PadLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00901">Descriptors.hpp:901</a></div></div> +<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_xhtml_ab70cd7344da13580556ea1af358a8a8b"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml#ab70cd7344da13580556ea1af358a8a8b">armnn::FullyConnectedDescriptor::FullyConnectedDescriptor</a></div><div class="ttdeci">FullyConnectedDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00375">Descriptors.hpp:375</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::Convolution2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00430">Descriptors.hpp:430</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a2d299363c9fc33334c571fa29ca4f58c"><div class="ttname"><a href="namespacearmnn.xhtml#a2d299363c9fc33334c571fa29ca4f58c">armnn::ComparisonOperation</a></div><div class="ttdeci">ComparisonOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00077">Types.hpp:77</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::DepthwiseConvolution2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00482">Descriptors.hpp:482</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a53c8a7f33a40e1e240256bcfcf41b101"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a53c8a7f33a40e1e240256bcfcf41b101">armnn::DetectionPostProcessDescriptor::m_NmsIouThreshold</a></div><div class="ttdeci">float m_NmsIouThreshold</div><div class="ttdoc">Intersection over union threshold. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00535">Descriptors.hpp:535</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_a4772ee9cfc371989df220a73fb0a0b54"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a4772ee9cfc371989df220a73fb0a0b54">armnn::ResizeDescriptor::m_BilinearAlignCorners</a></div><div class="ttdeci">bool m_BilinearAlignCorners</div><div class="ttdoc">Aligned corners for bilinear method. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00753">Descriptors.hpp:753</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_descriptor_xhtml_ae7fbf819ce2bbdbdc55d546dd40a1213"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml#ae7fbf819ce2bbdbdc55d546dd40a1213">armnn::TransposeDescriptor::TransposeDescriptor</a></div><div class="ttdeci">TransposeDescriptor(const PermutationVector &dimMappings)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01129">Descriptors.hpp:1129</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml">armnn::LstmDescriptor</a></div><div class="ttdoc">An LstmDescriptor for the LstmLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00837">Descriptors.hpp:837</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::Pooling2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00351">Descriptors.hpp:351</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::DepthwiseConvolution2dDescriptor::m_DilationX</a></div><div class="ttdeci">uint32_t m_DilationX</div><div class="ttdoc">Dilation factor value for width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00486">Descriptors.hpp:486</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::DepthwiseConvolution2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00478">Descriptors.hpp:478</a></div></div> +<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml_a66868daa768672bfda2d019a9d2c43ca"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a66868daa768672bfda2d019a9d2c43ca">armnn::PadDescriptor::PadDescriptor</a></div><div class="ttdeci">PadDescriptor(const std::vector< std::pair< unsigned int, unsigned int >> &padList, const float &padValue=0)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00906">Descriptors.hpp:906</a></div></div> +<div class="ttc" id="structarmnn_1_1_slice_descriptor_xhtml_a4939f00778f08d6c6fec6f74c0a59b7e"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml#a4939f00778f08d6c6fec6f74c0a59b7e">armnn::SliceDescriptor::m_Begin</a></div><div class="ttdeci">std::vector< unsigned int > m_Begin</div><div class="ttdoc">Beginning indices of the slice in each dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00943">Descriptors.hpp:943</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a7c91eda2b331d607bae92cd8ebf50bb9"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a7c91eda2b331d607bae92cd8ebf50bb9">armnn::StridedSliceDescriptor::m_NewAxisMask</a></div><div class="ttdeci">int32_t m_NewAxisMask</div><div class="ttdoc">New axis mask value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01059">Descriptors.hpp:1059</a></div></div> +<div class="ttc" id="structarmnn_1_1_mean_descriptor_xhtml_a28e0548abfc4e79c48f29a3d11a062e9"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">armnn::MeanDescriptor::m_KeepDims</a></div><div class="ttdeci">bool m_KeepDims</div><div class="ttdoc">Enable/disable keep dimensions. If true, then the reduced dimensions that are of length 1 are kept...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00897">Descriptors.hpp:897</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_xhtml_a02e143524aefddd40b485fcf7dea6696"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">armnn::BatchToSpaceNdDescriptor::m_BlockShape</a></div><div class="ttdeci">std::vector< unsigned int > m_BlockShape</div><div class="ttdoc">Block shape values. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00680">Descriptors.hpp:680</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a></div></div> +<div class="ttc" id="structarmnn_1_1_instance_normalization_descriptor_xhtml_a11c821c7524251004a72ed13c510853c"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">armnn::InstanceNormalizationDescriptor::m_Eps</a></div><div class="ttdeci">float m_Eps</div><div class="ttdoc">Epsilon, small scalar value added to variance to avoid dividing by zero. Defaults to 1e-12f...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00651">Descriptors.hpp:651</a></div></div> +<div class="ttc" id="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_activation_descriptor_xhtml_a6c7517bc11f580a0a443940bc5f81775"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a6c7517bc11f580a0a443940bc5f81775">armnn::ActivationDescriptor::ActivationDescriptor</a></div><div class="ttdeci">ActivationDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00022">Descriptors.hpp:22</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="_types_8hpp_xhtml"><div class="ttname"><a href="_types_8hpp.xhtml">Types.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml">armnn::FullyConnectedDescriptor</a></div><div class="ttdoc">A FullyConnectedDescriptor for the FullyConnectedLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00373">Descriptors.hpp:373</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_descriptor_xhtml_af4d882230882f20ef1500510e5ff4c87"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml#af4d882230882f20ef1500510e5ff4c87">armnn::TransposeDescriptor::TransposeDescriptor</a></div><div class="ttdeci">TransposeDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01125">Descriptors.hpp:1125</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_af996d82c47e43a16f4c8faa6c6b3e030"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#af996d82c47e43a16f4c8faa6c6b3e030">armnn::StridedSliceDescriptor::m_EllipsisMask</a></div><div class="ttdeci">int32_t m_EllipsisMask</div><div class="ttdoc">Ellipsis mask value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01056">Descriptors.hpp:1056</a></div></div> +<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::FullyConnectedDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00386">Descriptors.hpp:386</a></div></div> +<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml_abf96ff8314156a991f72d107d4f325ce"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#abf96ff8314156a991f72d107d4f325ce">armnn::PadDescriptor::PadDescriptor</a></div><div class="ttdeci">PadDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00903">Descriptors.hpp:903</a></div></div> +<div class="ttc" id="structarmnn_1_1_fake_quantization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.xhtml">armnn::FakeQuantizationDescriptor</a></div><div class="ttdoc">A FakeQuantizationDescriptor for the FakeQuantizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00688">Descriptors.hpp:688</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a8b4bd784a8d7b85b437c7c5d61c93bd9"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a8b4bd784a8d7b85b437c7c5d61c93bd9">armnn::DepthwiseConvolution2dDescriptor::DepthwiseConvolution2dDescriptor</a></div><div class="ttdeci">DepthwiseConvolution2dDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00446">Descriptors.hpp:446</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml_aa7a846e189c37a6092fbf10e90110dc9"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#aa7a846e189c37a6092fbf10e90110dc9">armnn::SpaceToBatchNdDescriptor::SpaceToBatchNdDescriptor</a></div><div class="ttdeci">SpaceToBatchNdDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00780">Descriptors.hpp:780</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_adcf5037208faac36c0788239a073f75c"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#adcf5037208faac36c0788239a073f75c">armnn::ResizeDescriptor::m_TargetWidth</a></div><div class="ttdeci">uint32_t m_TargetWidth</div><div class="ttdoc">Target width value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00744">Descriptors.hpp:744</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a2837b4396f20c956952d1a7286cab5f8"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">armnn::LstmDescriptor::m_PeepholeEnabled</a></div><div class="ttdeci">bool m_PeepholeEnabled</div><div class="ttdoc">Enable/disable peephole. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00869">Descriptors.hpp:869</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdoc">enumeration </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00026">Types.hpp:26</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a3a04b0ccee4bb2f21721ee5045e83df4"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a3a04b0ccee4bb2f21721ee5045e83df4">armnn::DetectionPostProcessDescriptor::m_NumClasses</a></div><div class="ttdeci">uint32_t m_NumClasses</div><div class="ttdoc">Number of classes. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00537">Descriptors.hpp:537</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::TransposeConvolution2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01109">Descriptors.hpp:1109</a></div></div> +<div class="ttc" id="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="structarmnn_1_1_pre_compiled_descriptor_xhtml_aebc22128191c14a59356453600833344"><div class="ttname"><a href="structarmnn_1_1_pre_compiled_descriptor.xhtml#aebc22128191c14a59356453600833344">armnn::PreCompiledDescriptor::m_NumInputSlots</a></div><div class="ttdeci">unsigned int m_NumInputSlots</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01074">Descriptors.hpp:1074</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a7ed9bc7c26df67d274d5dd4cd83adf0f"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7ed9bc7c26df67d274d5dd4cd83adf0f">armnn::DetectionPostProcessDescriptor::m_UseRegularNms</a></div><div class="ttdeci">bool m_UseRegularNms</div><div class="ttdoc">Use Regular NMS. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00539">Descriptors.hpp:539</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::TransposeConvolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01119">Descriptors.hpp:1119</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml_a02e143524aefddd40b485fcf7dea6696"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">armnn::SpaceToBatchNdDescriptor::m_BlockShape</a></div><div class="ttdeci">std::vector< unsigned int > m_BlockShape</div><div class="ttdoc">Block shape value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00801">Descriptors.hpp:801</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a0d53caff836b84204adbd1c28752a201"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a0d53caff836b84204adbd1c28752a201">armnn::StridedSliceDescriptor::m_Stride</a></div><div class="ttdeci">std::vector< int > m_Stride</div><div class="ttdoc">Stride values for the input that will be sliced. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01045">Descriptors.hpp:1045</a></div></div> +<div class="ttc" id="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="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml_a2c0bf19cb8ae5ab4f5b7373b2b1c79b8"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a2c0bf19cb8ae5ab4f5b7373b2b1c79b8">armnn::SpaceToBatchNdDescriptor::SpaceToBatchNdDescriptor</a></div><div class="ttdeci">SpaceToBatchNdDescriptor(const std::vector< unsigned int > &blockShape, const std::vector< std::pair< unsigned int, unsigned int >> &padList)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00786">Descriptors.hpp:786</a></div></div> +<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_bilinear_descriptor_xhtml_a46c3fa15c46fb0d1dcdc24d0ea5cb5cd"><div class="ttname"><a href="structarmnn_1_1_resize_bilinear_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">armnn::ResizeBilinearDescriptor::m_TargetHeight</a></div><div class="ttdeci">uint32_t m_TargetHeight</div><div class="ttdoc">Target height value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00718">Descriptors.hpp:718</a></div></div> +<div class="ttc" id="structarmnn_1_1_stack_descriptor_xhtml_aed6086070440ceb94129bef06f70173f"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">armnn::StackDescriptor::m_NumInputs</a></div><div class="ttdeci">uint32_t m_NumInputs</div><div class="ttdoc">Number of input tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00974">Descriptors.hpp:974</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_a46c3fa15c46fb0d1dcdc24d0ea5cb5cd"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">armnn::ResizeDescriptor::m_TargetHeight</a></div><div class="ttdeci">uint32_t m_TargetHeight</div><div class="ttdoc">Target height value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00746">Descriptors.hpp:746</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_ae1b07ed928036004bd257169e5aeeef4"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#ae1b07ed928036004bd257169e5aeeef4">armnn::LstmDescriptor::m_ActivationFunc</a></div><div class="ttdeci">uint32_t m_ActivationFunc</div><div class="ttdoc">The activation function to use. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00861">Descriptors.hpp:861</a></div></div> +<div class="ttc" id="structarmnn_1_1_slice_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.xhtml">armnn::SliceDescriptor</a></div><div class="ttdoc">A SliceDescriptor for the SliceLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00927">Descriptors.hpp:927</a></div></div> +<div class="ttc" id="classarmnn_1_1_permutation_vector_xhtml"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00173">Types.hpp:173</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Convolution2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00432">Descriptors.hpp:432</a></div></div> +<div class="ttc" id="structarmnn_1_1_elementwise_unary_descriptor_xhtml_a3f8539a92fa960a194527b03c2183172"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a3f8539a92fa960a194527b03c2183172">armnn::ElementwiseUnaryDescriptor::ElementwiseUnaryDescriptor</a></div><div class="ttdeci">ElementwiseUnaryDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00084">Descriptors.hpp:84</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a531a3907ec13d3772370da88030191a5"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a531a3907ec13d3772370da88030191a5">armnn::LstmDescriptor::m_ClippingThresCell</a></div><div class="ttdeci">float m_ClippingThresCell</div><div class="ttdoc">Clipping threshold value for the cell state. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00863">Descriptors.hpp:863</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_xhtml_a6c6b8957f1e176867e5fb05b1a1a1486"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6c6b8957f1e176867e5fb05b1a1a1486">armnn::SpaceToDepthDescriptor::m_BlockSize</a></div><div class="ttdeci">unsigned int m_BlockSize</div><div class="ttdoc">Scalar specifying the input block size. It must be >= 1. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00827">Descriptors.hpp:827</a></div></div> +<div class="ttc" id="structarmnn_1_1_instance_normalization_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::InstanceNormalizationDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00653">Descriptors.hpp:653</a></div></div> +<div class="ttc" id="structarmnn_1_1_softmax_descriptor_xhtml_ab284d1743a879c8762273540c363174e"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml#ab284d1743a879c8762273540c363174e">armnn::SoftmaxDescriptor::SoftmaxDescriptor</a></div><div class="ttdeci">SoftmaxDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00125">Descriptors.hpp:125</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::Pooling2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00369">Descriptors.hpp:369</a></div></div> +<div class="ttc" id="structarmnn_1_1_instance_normalization_descriptor_xhtml_a8275d51ef9a584feb95726ea0522f6e5"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">armnn::InstanceNormalizationDescriptor::m_Beta</a></div><div class="ttdeci">float m_Beta</div><div class="ttdoc">Beta, the offset scalar value applied for the normalized tensor. Defaults to 1.0. ...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00649">Descriptors.hpp:649</a></div></div> +<div class="ttc" id="structarmnn_1_1_instance_normalization_descriptor_xhtml_a36f0ec397ba668e40fbb48a806691feb"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml#a36f0ec397ba668e40fbb48a806691feb">armnn::InstanceNormalizationDescriptor::InstanceNormalizationDescriptor</a></div><div class="ttdeci">InstanceNormalizationDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00631">Descriptors.hpp:631</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_aa61510cbd529870182e918ac6e8b9d72"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#aa61510cbd529870182e918ac6e8b9d72">armnn::DetectionPostProcessDescriptor::m_ScaleH</a></div><div class="ttdeci">float m_ScaleH</div><div class="ttdoc">Center size encoding scale height. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00547">Descriptors.hpp:547</a></div></div> +<div class="ttc" id="structarmnn_1_1_comparison_descriptor_xhtml_a865dc4f43cb0ff01a1dcf78036912fd1"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.xhtml#a865dc4f43cb0ff01a1dcf78036912fd1">armnn::ComparisonDescriptor::m_Operation</a></div><div class="ttdeci">ComparisonOperation m_Operation</div><div class="ttdoc">Specifies the comparison operation to execute. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00078">Descriptors.hpp:78</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_aa68194dd6258ab5b04123005a066ea25"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#aa68194dd6258ab5b04123005a066ea25">armnn::StridedSliceDescriptor::m_End</a></div><div class="ttdeci">std::vector< int > m_End</div><div class="ttdoc">End values for the input that will be sliced. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01043">Descriptors.hpp:1043</a></div></div> +<div class="ttc" id="structarmnn_1_1_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="namespacearmnn_xhtml_adf2e5515c4c36a3e7e46bb8b83c6754e"><div class="ttname"><a href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754e">armnn::OutputShapeRounding</a></div><div class="ttdeci">OutputShapeRounding</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00140">Types.hpp:140</a></div></div> +<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_afe1f0f09d49ad2befc01f8789187b7dd"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#afe1f0f09d49ad2befc01f8789187b7dd">armnn::NormalizationDescriptor::m_NormChannelType</a></div><div class="ttdeci">NormalizationAlgorithmChannel m_NormChannelType</div><div class="ttdoc">Normalization channel algorithm to use (Across, Within). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00575">Descriptors.hpp:575</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00037">Descriptors.hpp:37</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::Convolution2dDescriptor::m_DilationX</a></div><div class="ttdeci">uint32_t m_DilationX</div><div class="ttdoc">Dilation along x axis. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00434">Descriptors.hpp:434</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::SpaceToDepthDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00830">Descriptors.hpp:830</a></div></div> +<div class="ttc" id="_deprecated_8hpp_xhtml"><div class="ttname"><a href="_deprecated_8hpp.xhtml">Deprecated.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_ad474e5c51a0b194ef32e812b86c0cbdb"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">armnn::LstmDescriptor::m_CifgEnabled</a></div><div class="ttdeci">bool m_CifgEnabled</div><div class="ttdoc">Enable/disable cifg (coupled input & forget gate). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00867">Descriptors.hpp:867</a></div></div> +<div class="ttc" id="structarmnn_1_1_stand_in_descriptor_xhtml_a22073dfd53bf509848f43a2f0d799496"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml#a22073dfd53bf509848f43a2f0d799496">armnn::StandInDescriptor::StandInDescriptor</a></div><div class="ttdeci">StandInDescriptor(uint32_t numInputs, uint32_t numOutputs)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00984">Descriptors.hpp:984</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_bilinear_descriptor_xhtml_a9634e2357de47ab41265270c0182e837"><div class="ttname"><a href="structarmnn_1_1_resize_bilinear_descriptor.xhtml#a9634e2357de47ab41265270c0182e837">armnn::ResizeBilinearDescriptor::ResizeBilinearDescriptor</a></div><div class="ttdeci">ResizeBilinearDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00709">Descriptors.hpp:709</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::TransposeConvolution2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01105">Descriptors.hpp:1105</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::TransposeConvolution2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01113">Descriptors.hpp:1113</a></div></div> +<div class="ttc" id="structarmnn_1_1_elementwise_unary_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.xhtml">armnn::ElementwiseUnaryDescriptor</a></div><div class="ttdoc">A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00082">Descriptors.hpp:82</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a0031997bf43bd2747656c31e4977793a"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">armnn::Pooling2dDescriptor::m_PoolType</a></div><div class="ttdeci">PoolingAlgorithm m_PoolType</div><div class="ttdoc">The pooling algorithm to use (Max. Average, L2). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00347">Descriptors.hpp:347</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::DepthwiseConvolution2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00484">Descriptors.hpp:484</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::TransposeConvolution2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01115">Descriptors.hpp:1115</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_xhtml_af295348553622bb3baadff6ea5124414"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml#af295348553622bb3baadff6ea5124414">armnn::SpaceToDepthDescriptor::SpaceToDepthDescriptor</a></div><div class="ttdeci">SpaceToDepthDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00812">Descriptors.hpp:812</a></div></div> +<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_xhtml_a700f6dc2a7a912cd37ee7dbfcc9220b9"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.xhtml#a700f6dc2a7a912cd37ee7dbfcc9220b9">armnn::SpaceToDepthDescriptor::SpaceToDepthDescriptor</a></div><div class="ttdeci">SpaceToDepthDescriptor(unsigned int blockSize, DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00816">Descriptors.hpp:816</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_xhtml_a3941f674c071c9503e00d2b59e92e454"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a3941f674c071c9503e00d2b59e92e454">armnn::BatchToSpaceNdDescriptor::m_Crops</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > m_Crops</div><div class="ttdoc">The values to crop from the input dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00682">Descriptors.hpp:682</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeae"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeae">armnn::ArgMinMaxFunction</a></div><div class="ttdeci">ArgMinMaxFunction</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00071">Types.hpp:71</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_affb5b68b3eba3ed45a06c7cde7781962"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">armnn::Pooling2dDescriptor::m_OutputShapeRounding</a></div><div class="ttdeci">OutputShapeRounding m_OutputShapeRounding</div><div class="ttdoc">The rounding method for the output shape. (Floor, Ceiling). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00365">Descriptors.hpp:365</a></div></div> +<div class="ttc" id="structarmnn_1_1_stand_in_descriptor_xhtml_aed6086070440ceb94129bef06f70173f"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">armnn::StandInDescriptor::m_NumInputs</a></div><div class="ttdeci">uint32_t m_NumInputs</div><div class="ttdoc">Number of input tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00996">Descriptors.hpp:996</a></div></div> +<div class="ttc" id="structarmnn_1_1_fake_quantization_descriptor_xhtml_a07e9336ef20ef3348c954f620d9a31f3"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.xhtml#a07e9336ef20ef3348c954f620d9a31f3">armnn::FakeQuantizationDescriptor::FakeQuantizationDescriptor</a></div><div class="ttdeci">FakeQuantizationDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00690">Descriptors.hpp:690</a></div></div> +<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml_a5b192c5fcd96a0f75542524cf646b355"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a5b192c5fcd96a0f75542524cf646b355">armnn::OriginsDescriptor::SetConcatAxis</a></div><div class="ttdeci">void SetConcatAxis(unsigned int concatAxis)</div><div class="ttdoc">Set the concatenation axis value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00150">Descriptors.cpp:150</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4">armnn::ResizeMethod</a></div><div class="ttdeci">ResizeMethod</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00103">Types.hpp:103</a></div></div> +<div class="ttc" id="structarmnn_1_1_mean_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml">armnn::MeanDescriptor</a></div><div class="ttdoc">A MeanDescriptor for the MeanLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00877">Descriptors.hpp:877</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a1cfaa710db2a54673b21d2ea2da757c8"><div class="ttname"><a href="namespacearmnn.xhtml#a1cfaa710db2a54673b21d2ea2da757c8">armnn::UnaryOperation</a></div><div class="ttdeci">UnaryOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00087">Types.hpp:87</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a4a8ec49f130084445d44297549254780"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">armnn::LstmDescriptor::m_LayerNormEnabled</a></div><div class="ttdeci">bool m_LayerNormEnabled</div><div class="ttdoc">Enable/disable layer normalization. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00873">Descriptors.hpp:873</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::TransposeConvolution2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01107">Descriptors.hpp:1107</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml">armnn::TransposeDescriptor</a></div><div class="ttdoc">A TransposeDescriptor for the TransposeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01123">Descriptors.hpp:1123</a></div></div> +<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml">armnn::StridedSliceDescriptor</a></div><div class="ttdoc">A StridedSliceDescriptor for the StridedSliceLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01002">Descriptors.hpp:1002</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a></div></div> +<div class="ttc" id="structarmnn_1_1_arg_min_max_descriptor_xhtml_a214c3636fdf0ea5bac8edb42d0e6c7f0"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a214c3636fdf0ea5bac8edb42d0e6c7f0">armnn::ArgMinMaxDescriptor::m_Axis</a></div><div class="ttdeci">int m_Axis</div><div class="ttdoc">Axis to reduce across the input tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00058">Descriptors.hpp:58</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a7a2156ec7d9c012ce00bbcc6afcb9028"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7a2156ec7d9c012ce00bbcc6afcb9028">armnn::DetectionPostProcessDescriptor::m_ScaleY</a></div><div class="ttdeci">float m_ScaleY</div><div class="ttdoc">Center size encoding scale y. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00543">Descriptors.hpp:543</a></div></div> +<div class="ttc" id="_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="namespacearmnn_xhtml_a733ae6b70d0bfa43433c3e7606992328"><div class="ttname"><a href="namespacearmnn.xhtml#a733ae6b70d0bfa43433c3e7606992328">armnn::CreateDescriptorForConcatenation</a></div><div class="ttdeci">OriginsDescriptor CreateDescriptorForConcatenation(TensorShapeIt first, TensorShapeIt last, unsigned int concatenationDimension)</div><div class="ttdoc">Convenience template to create an OriginsDescriptor to use when creating a ConcatLayer for performing...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00242">Descriptors.hpp:242</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a4392dd6b4862cc9cf95ae8f1001ba592"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a4392dd6b4862cc9cf95ae8f1001ba592">armnn::DetectionPostProcessDescriptor::m_NmsScoreThreshold</a></div><div class="ttdeci">float m_NmsScoreThreshold</div><div class="ttdoc">NMS score threshold. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00533">Descriptors.hpp:533</a></div></div> +<div class="ttc" id="structarmnn_1_1_arg_min_max_descriptor_xhtml_a42d192541edb2334e194365b87423b5e"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.xhtml#a42d192541edb2334e194365b87423b5e">armnn::ArgMinMaxDescriptor::ArgMinMaxDescriptor</a></div><div class="ttdeci">ArgMinMaxDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00045">Descriptors.hpp:45</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="_descriptors_fwd_8hpp_xhtml"><div class="ttname"><a href="_descriptors_fwd_8hpp.xhtml">DescriptorsFwd.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad605d1661fa0d8c7fea651d82fbe11c9ac65d2e51c610dd3853a3c777aa8bfe9d"><div class="ttname"><a href="namespacearmnn.xhtml#ad605d1661fa0d8c7fea651d82fbe11c9ac65d2e51c610dd3853a3c777aa8bfe9d">armnn::NormalizationAlgorithmMethod::LocalBrightness</a></div><div class="ttdoc">Krichevsky 2012: Local Brightness Normalization. </div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00313">Descriptors.hpp:313</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_abe18a5033f2ab9c0de82c676b48f5437a810f43f3996922151c39b76143faeecc"><div class="ttname"><a href="namespacearmnn.xhtml#abe18a5033f2ab9c0de82c676b48f5437a810f43f3996922151c39b76143faeecc">armnn::NormalizationAlgorithmChannel::Across</a></div></div> +<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml">armnn::NormalizationDescriptor</a></div><div class="ttdoc">A NormalizationDescriptor for the NormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00551">Descriptors.hpp:551</a></div></div> +<div class="ttc" id="structarmnn_1_1_stand_in_descriptor_xhtml_afb634876abc8d09178cf2af0f2ca984d"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml#afb634876abc8d09178cf2af0f2ca984d">armnn::StandInDescriptor::StandInDescriptor</a></div><div class="ttdeci">StandInDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00982">Descriptors.hpp:982</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::ResizeDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00751">Descriptors.hpp:751</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml">armnn::DetectionPostProcessDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00495">Descriptors.hpp:495</a></div></div> +<div class="ttc" id="structarmnn_1_1_instance_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.xhtml">armnn::InstanceNormalizationDescriptor</a></div><div class="ttdoc">An InstanceNormalizationDescriptor for InstanceNormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00629">Descriptors.hpp:629</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad605d1661fa0d8c7fea651d82fbe11c9"><div class="ttname"><a href="namespacearmnn.xhtml#ad605d1661fa0d8c7fea651d82fbe11c9">armnn::NormalizationAlgorithmMethod</a></div><div class="ttdeci">NormalizationAlgorithmMethod</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00132">Types.hpp:132</a></div></div> +<div class="ttc" id="structarmnn_1_1_pre_compiled_descriptor_xhtml_a19244e2574820c8ab69b1559d8638a61"><div class="ttname"><a href="structarmnn_1_1_pre_compiled_descriptor.xhtml#a19244e2574820c8ab69b1559d8638a61">armnn::PreCompiledDescriptor::m_NumOutputSlots</a></div><div class="ttdeci">unsigned int m_NumOutputSlots</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01075">Descriptors.hpp:1075</a></div></div> +<div class="ttc" id="structarmnn_1_1_resize_bilinear_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_resize_bilinear_descriptor.xhtml">armnn::ResizeBilinearDescriptor</a></div><div class="ttdoc">A ResizeBilinearDescriptor for the ResizeBilinearLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00707">Descriptors.hpp:707</a></div></div> +<div class="ttc" id="structarmnn_1_1_stack_descriptor_xhtml_ac6edc657f681c74f48d0ce16b26d2e49"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml#ac6edc657f681c74f48d0ce16b26d2e49">armnn::StackDescriptor::StackDescriptor</a></div><div class="ttdeci">StackDescriptor(uint32_t axis, uint32_t numInputs, const TensorShape &inputShape)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00958">Descriptors.hpp:958</a></div></div> +<div class="ttc" id="structarmnn_1_1_reshape_descriptor_xhtml_a167ba78098e8fdf1e3d467c8ac5bd57c"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.xhtml#a167ba78098e8fdf1e3d467c8ac5bd57c">armnn::ReshapeDescriptor::ReshapeDescriptor</a></div><div class="ttdeci">ReshapeDescriptor(const TensorShape &shape)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00764">Descriptors.hpp:764</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_ac5c408724c832bc1f75bad758fe2b7da"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ac5c408724c832bc1f75bad758fe2b7da">armnn::DetectionPostProcessDescriptor::DetectionPostProcessDescriptor</a></div><div class="ttdeci">DetectionPostProcessDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00497">Descriptors.hpp:497</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00039">Descriptors.hpp:39</a></div></div> +<div class="ttc" id="structarmnn_1_1_softmax_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::SoftmaxDescriptor</a></div><div class="ttdoc">A SoftmaxDescriptor for the SoftmaxLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00123">Descriptors.hpp:123</a></div></div> +<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_a8275d51ef9a584feb95726ea0522f6e5"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#a8275d51ef9a584feb95726ea0522f6e5">armnn::NormalizationDescriptor::m_Beta</a></div><div class="ttdeci">float m_Beta</div><div class="ttdoc">Beta value for the normalization equation. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00583">Descriptors.hpp:583</a></div></div> +<div class="ttc" id="structarmnn_1_1_fake_quantization_descriptor_xhtml_ad3729c591f7bfda7ad9ef9927d8a1bd6"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.xhtml#ad3729c591f7bfda7ad9ef9927d8a1bd6">armnn::FakeQuantizationDescriptor::m_Max</a></div><div class="ttdeci">float m_Max</div><div class="ttdoc">Maximum value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00703">Descriptors.hpp:703</a></div></div> +<div class="ttc" id="structarmnn_1_1_stack_descriptor_xhtml_a7174d76ab2205127ef4c2255c7169c5b"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.xhtml#a7174d76ab2205127ef4c2255c7169c5b">armnn::StackDescriptor::StackDescriptor</a></div><div class="ttdeci">StackDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00952">Descriptors.hpp:952</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_xhtml_a6280b6dbb53caebf325b450a52dc53f9"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.xhtml#a6280b6dbb53caebf325b450a52dc53f9">armnn::BatchToSpaceNdDescriptor::BatchToSpaceNdDescriptor</a></div><div class="ttdeci">BatchToSpaceNdDescriptor(std::vector< unsigned int > blockShape, std::vector< std::pair< unsigned int, unsigned int >> crops)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00665">Descriptors.hpp:665</a></div></div> +<div class="ttc" id="structarmnn_1_1_transpose_descriptor_xhtml_a14433af2b223695b40d8c8f8ba2ebb8f"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">armnn::TransposeDescriptor::m_DimMappings</a></div><div class="ttdeci">PermutationVector m_DimMappings</div><div class="ttdoc">Indicates how to translate tensor elements from a given source into the target destination, when source and target potentially have different memory layouts e.g. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01140">Descriptors.hpp:1140</a></div></div> +<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml_aa70c05f1aad12fbd9d9ec43ea4557b03"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml#aa70c05f1aad12fbd9d9ec43ea4557b03">armnn::NormalizationDescriptor::m_NormSize</a></div><div class="ttdeci">uint32_t m_NormSize</div><div class="ttdoc">Depth radius value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00579">Descriptors.hpp:579</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00035">Descriptors.hpp:35</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Pooling2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00363">Descriptors.hpp:363</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">armnn::DepthwiseConvolution2dDescriptor</a></div><div class="ttdoc">A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00444">Descriptors.hpp:444</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml">armnn::BatchNormalizationDescriptor</a></div><div class="ttdoc">A BatchNormalizationDescriptor for the BatchNormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00610">Descriptors.hpp:610</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::Convolution2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00422">Descriptors.hpp:422</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9ea"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a></div><div class="ttdeci">ActivationFunction</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00055">Types.hpp:55</a></div></div> +<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml_a2b125117aa61f9baf3a9cb8658aa61a2"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a2b125117aa61f9baf3a9cb8658aa61a2">armnn::OriginsDescriptor::SetViewOriginCoord</a></div><div class="ttdeci">Status SetViewOriginCoord(uint32_t view, uint32_t coord, uint32_t value)</div><div class="ttdoc">Set the view origin coordinates. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00159">Descriptors.cpp:159</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a></div></div> +<div class="ttc" id="structarmnn_1_1_permute_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.xhtml">armnn::PermuteDescriptor</a></div><div class="ttdoc">A PermuteDescriptor for the PermuteLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00102">Descriptors.hpp:102</a></div></div> +<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::DepthwiseConvolution2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00476">Descriptors.hpp:476</a></div></div> +<div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_xhtml_aefba12eed94174fb6eaeb78b6eaf7e59"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml#aefba12eed94174fb6eaeb78b6eaf7e59">armnn::BatchNormalizationDescriptor::BatchNormalizationDescriptor</a></div><div class="ttdeci">BatchNormalizationDescriptor()</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00612">Descriptors.hpp:612</a></div></div> 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