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diff --git a/20.02/_fold_pad_into_convolution2d_8hpp_source.xhtml b/20.02/_fold_pad_into_convolution2d_8hpp_source.xhtml new file mode 100644 index 0000000000..f8d84ea8e8 --- /dev/null +++ b/20.02/_fold_pad_into_convolution2d_8hpp_source.xhtml @@ -0,0 +1,150 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/armnn/optimizations/FoldPadIntoConvolution2d.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('_fold_pad_into_convolution2d_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">FoldPadIntoConvolution2d.hpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_fold_pad_into_convolution2d_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> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_optimization_8hpp.xhtml">Optimization.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="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> {</div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">namespace </span>optimizations</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> {</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"><a class="line" href="classarmnn_1_1optimizations_1_1_fold_pad_into_convolution2d_impl.xhtml"> 15</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1optimizations_1_1_fold_pad_into_convolution2d_impl.xhtml">FoldPadIntoConvolution2dImpl</a></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> {</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div><div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="classarmnn_1_1optimizations_1_1_fold_pad_into_convolution2d_impl.xhtml#a5a8476ffc04ce7460bb09ad50d1d23de"> 19</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1optimizations_1_1_fold_pad_into_convolution2d_impl.xhtml#a5a8476ffc04ce7460bb09ad50d1d23de">Run</a>(<a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& graph, <a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>& connection)<span class="keyword"> const</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& base = connection.<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& child = connection.<a class="code" href="classarmnn_1_1_input_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> </div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  BOOST_ASSERT(base.<a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">LayerType::Pad</a>);</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  BOOST_ASSERT(child.<a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a>);</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>  <a class="code" href="classarmnn_1_1_pad_layer.xhtml">PadLayer</a>* padLayer = boost::polymorphic_downcast<PadLayer*>(&base);</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <a class="code" href="classarmnn_1_1_convolution2d_layer.xhtml">Convolution2dLayer</a>* convolution2dLayer = boost::polymorphic_downcast<Convolution2dLayer*>(&child);</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>* parentOut = base.<a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>();</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outInfo = child.<a class="code" href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_handler.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keyword">const</span> std::string name = std::string(<span class="stringliteral">"folded-"</span>) + base.<a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>() + std::string(<span class="stringliteral">"-into-"</span>) + child.<a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>();</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">Convolution2dDescriptor</a> descriptor = convolution2dLayer->GetParameters();</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keyword">auto</span> padList = padLayer->GetParameters().m_PadList;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout = descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="comment">// In Convolution2dDescriptor, padLeft and padRight are defined as paddings on width dimension</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="comment">// whereas padTop and padBottom - paddings on height dimension, so setting these according to data layout</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordflow">if</span>(dataLayout == <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>)</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  {</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> = padList[2].first;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> = padList[2].second;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> = padList[1].first;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> = padList[1].second;</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>  <span class="keywordflow">else</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  {</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> = padList[3].first;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> = padList[3].second;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> = padList[2].first;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> = padList[2].second;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  }</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keyword">auto</span>& newConv2dLayer = *graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a3ff30c6669fdc69de1f5be1f89bacc3f">InsertNewLayer</a><<a class="code" href="classarmnn_1_1_convolution2d_layer.xhtml">Convolution2dLayer</a>>(base.<a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0),</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  descriptor,</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  name.c_str());</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  newConv2dLayer.<a class="code" href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_handler.xhtml#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(outInfo);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="comment">// Copy weights and bias to the new convolution layer</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  BOOST_ASSERT_MSG(convolution2dLayer->m_Weight != <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="stringliteral">"FoldPadIntoConvolution2d: Weights data should not be null."</span>);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  newConv2dLayer.m_Weight = std::move(convolution2dLayer->m_Weight);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  {</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  BOOST_ASSERT_MSG(convolution2dLayer->m_Bias != <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="stringliteral">"FoldPadIntoConvolution2d: Bias data should not be null if bias is enabled."</span>);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  newConv2dLayer.m_Bias = std::move(convolution2dLayer->m_Bias);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  }</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="comment">// Reconnects with original parent.</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  newConv2dLayer.GetOutputSlot().MoveAllConnections(*parentOut);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="comment">// Parent is now the new convolution2d layer.</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  parentOut = &newConv2dLayer.GetOutputSlot();</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="comment">// Moves connections in child output to parent layer.</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="comment">// Child layer will be removed as it's left unconnected.</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="comment">// Base layer will be removed if left unconnected.</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  child.<a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>().<a class="code" href="classarmnn_1_1_output_slot.xhtml#a19d30f83e90f2612e6aec510715f790d">MoveAllConnections</a>(*parentOut);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  }</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="keyword">protected</span>:</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="classarmnn_1_1optimizations_1_1_fold_pad_into_convolution2d_impl.xhtml#a008dac8de51c0f701621e64c91c6b9f8">FoldPadIntoConvolution2dImpl</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="classarmnn_1_1optimizations_1_1_fold_pad_into_convolution2d_impl.xhtml#ab52c3ac73b3b657ccc44ac92d2ce88f1">~FoldPadIntoConvolution2dImpl</a>() = <span class="keywordflow">default</span>;</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="namespacearmnn_1_1optimizations.xhtml#add2180a15cdcf5a229de32bb956cb224"> 88</a></span> <span class="keyword">using</span> <a class="code" href="classarmnn_1_1_optimize_for_connection.xhtml">FoldPadIntoConvolution2d</a> = <a class="code" href="classarmnn_1_1_optimize_for_connection.xhtml">OptimizeForConnection<PadLayer, Convolution2dLayer, FoldPadIntoConvolution2dImpl></a>;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> </div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> } <span class="comment">// namespace optimizations</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> } <span class="comment">// namespace armnn</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::Convolution2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00428">Descriptors.hpp:428</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::Convolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00438">Descriptors.hpp:438</a></div></div> +<div class="ttc" id="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="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="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00392">Descriptors.hpp:392</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a7ddaf04177053a536f0e7be83a642bc6"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">armnn::OutputSlot::GetOwningLayer</a></div><div class="ttdeci">Layer & GetOwningLayer() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00115">Layer.hpp:115</a></div></div> +<div class="ttc" id="classarmnn_1_1_input_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml">armnn::InputSlot</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00041">Layer.hpp:41</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="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="classarmnn_1_1_pad_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_pad_layer.xhtml">armnn::PadLayer</a></div><div class="ttdoc">This layer represents a pad operation. </div><div class="ttdef"><b>Definition:</b> <a href="_pad_layer_8hpp_source.xhtml#l00014">PadLayer.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1optimizations_1_1_fold_pad_into_convolution2d_impl_xhtml"><div class="ttname"><a href="classarmnn_1_1optimizations_1_1_fold_pad_into_convolution2d_impl.xhtml">armnn::optimizations::FoldPadIntoConvolution2dImpl</a></div><div class="ttdef"><b>Definition:</b> <a href="_fold_pad_into_convolution2d_8hpp_source.xhtml#l00015">FoldPadIntoConvolution2d.hpp:15</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="classarmnn_1_1optimizations_1_1_fold_pad_into_convolution2d_impl_xhtml_ab52c3ac73b3b657ccc44ac92d2ce88f1"><div class="ttname"><a href="classarmnn_1_1optimizations_1_1_fold_pad_into_convolution2d_impl.xhtml#ab52c3ac73b3b657ccc44ac92d2ce88f1">armnn::optimizations::FoldPadIntoConvolution2dImpl::~FoldPadIntoConvolution2dImpl</a></div><div class="ttdeci">~FoldPadIntoConvolution2dImpl()=default</div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00310">Layer.hpp:310</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">armnn::LayerType::Pad</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml">armnn::OutputSlot</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00083">Layer.hpp:83</a></div></div> +<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a9effd325a6d512a3f8ff4bd207d53255"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">armnn::InputSlot::GetConnectedOutputSlot</a></div><div class="ttdeci">const OutputSlot * GetConnectedOutputSlot() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00055">Layer.hpp:55</a></div></div> +<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a7ddaf04177053a536f0e7be83a642bc6"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">armnn::InputSlot::GetOwningLayer</a></div><div class="ttdeci">Layer & GetOwningLayer() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00052">Layer.hpp:52</a></div></div> +<div class="ttc" id="classarmnn_1_1_optimize_for_connection_xhtml"><div class="ttname"><a href="classarmnn_1_1_optimize_for_connection.xhtml">armnn::OptimizeForConnection</a></div><div class="ttdef"><b>Definition:</b> <a href="_optimization_8hpp_source.xhtml#l00116">Optimization.hpp:116</a></div></div> +<div class="ttc" id="classarmnn_1_1_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00029">Graph.hpp:29</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_handler_xhtml_a97db12c41024f5545ef5cc4153e5443b"><div class="ttname"><a href="classarmnn_1_1_output_handler.xhtml#a97db12c41024f5545ef5cc4153e5443b">armnn::OutputHandler::SetTensorInfo</a></div><div class="ttdeci">void SetTensorInfo(const TensorInfo &tensorInfo)</div><div class="ttdoc">Sets the TensorInfo used by this output handler. </div><div class="ttdef"><b>Definition:</b> <a href="_output_handler_8cpp_source.xhtml#l00017">OutputHandler.cpp:17</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_af2c0edc7ea62a8baaec4d3d9b2b09256"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">armnn::Layer::GetOutputHandler</a></div><div class="ttdeci">const OutputHandler & GetOutputHandler(unsigned int i=0) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00221">Layer.hpp:221</a></div></div> +<div class="ttc" id="classarmnn_1_1optimizations_1_1_fold_pad_into_convolution2d_impl_xhtml_a5a8476ffc04ce7460bb09ad50d1d23de"><div class="ttname"><a href="classarmnn_1_1optimizations_1_1_fold_pad_into_convolution2d_impl.xhtml#a5a8476ffc04ce7460bb09ad50d1d23de">armnn::optimizations::FoldPadIntoConvolution2dImpl::Run</a></div><div class="ttdeci">void Run(Graph &graph, InputSlot &connection) const</div><div class="ttdef"><b>Definition:</b> <a href="_fold_pad_into_convolution2d_8hpp_source.xhtml#l00019">FoldPadIntoConvolution2d.hpp:19</a></div></div> +<div class="ttc" id="classarmnn_1_1optimizations_1_1_fold_pad_into_convolution2d_impl_xhtml_a008dac8de51c0f701621e64c91c6b9f8"><div class="ttname"><a href="classarmnn_1_1optimizations_1_1_fold_pad_into_convolution2d_impl.xhtml#a008dac8de51c0f701621e64c91c6b9f8">armnn::optimizations::FoldPadIntoConvolution2dImpl::FoldPadIntoConvolution2dImpl</a></div><div class="ttdeci">FoldPadIntoConvolution2dImpl()=default</div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_aaef29472862381822654ab6cbf7cba2a"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00259">Layer.hpp:259</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00312">Layer.hpp:312</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00305">Layer.hpp:305</a></div></div> +<div class="ttc" id="classarmnn_1_1_convolution2d_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_convolution2d_layer.xhtml">armnn::Convolution2dLayer</a></div><div class="ttdoc">This layer represents a convolution 2d operation. </div><div class="ttdef"><b>Definition:</b> <a href="_convolution2d_layer_8hpp_source.xhtml#l00015">Convolution2dLayer.hpp:15</a></div></div> +<div class="ttc" id="_optimization_8hpp_xhtml"><div class="ttname"><a href="_optimization_8hpp.xhtml">Optimization.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_graph_xhtml_a3ff30c6669fdc69de1f5be1f89bacc3f"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a3ff30c6669fdc69de1f5be1f89bacc3f">armnn::Graph::InsertNewLayer</a></div><div class="ttdeci">LayerT * InsertNewLayer(InputSlot &insertBefore, Args &&... args)</div><div class="ttdoc">Inserts a new layer between the output slot currently connected to insertBefore and insertBefore itse...</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00409">Graph.hpp:409</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a19d30f83e90f2612e6aec510715f790d"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a19d30f83e90f2612e6aec510715f790d">armnn::OutputSlot::MoveAllConnections</a></div><div class="ttdeci">void MoveAllConnections(OutputSlot &destination)</div><div class="ttdoc">Moves all connections to another OutputSlot. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00112">Layer.cpp:112</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00209">Layer.hpp:209</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="classarmnn_1_1_output_handler_xhtml_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_output_handler.xhtml#a66e8f43a5b42b500871ed96e15419567">armnn::OutputHandler::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const</div><div class="ttdoc">Gets the matching TensorInfo for the output. </div><div class="ttdef"><b>Definition:</b> <a href="_output_handler_8hpp_source.xhtml#l00044">OutputHandler.hpp:44</a></div></div> +</div><!-- fragment --></div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_e0a84d05c80a2ef4231141dcbbeac5c8.xhtml">armnn</a></li><li class="navelem"><a class="el" href="dir_5bee762cfd03f62aa80233ed05f1bfdf.xhtml">optimizations</a></li><li class="navelem"><a class="el" href="_fold_pad_into_convolution2d_8hpp.xhtml">FoldPadIntoConvolution2d.hpp</a></li> + <li class="footer">Generated on Fri Mar 13 2020 16:09:08 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |