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diff --git a/20.02/_graph_8cpp_source.xhtml b/20.02/_graph_8cpp_source.xhtml new file mode 100644 index 0000000000..8983a89f77 --- /dev/null +++ b/20.02/_graph_8cpp_source.xhtml @@ -0,0 +1,209 @@ +<!-- 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/Graph.cpp Source File</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">20.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('_graph_8cpp_source.xhtml','');}); +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="headertitle"> +<div class="title">Graph.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_graph_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_graph_8hpp.xhtml">Graph.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_subgraph_view_8hpp.xhtml">SubgraphView.hpp</a>"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_layers_fwd_8hpp.xhtml">LayersFwd.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 <<a class="code" href="include_2armnn_2backends_2_i_backend_internal_8hpp.xhtml">armnn/backends/IBackendInternal.hpp</a>></span></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="preprocessor">#include <<a class="code" href="_backend_id_8hpp.xhtml">armnn/BackendId.hpp</a>></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="_logging_8hpp.xhtml">armnn/Logging.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_utils_8hpp.xhtml">armnn/TypesUtils.hpp</a>></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <<a class="code" href="_utils_8hpp.xhtml">armnn/Utils.hpp</a>></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <boost/polymorphic_cast.hpp></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include <boost/assert.hpp></span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include <boost/format.hpp></span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include <unordered_map></span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#include <<a class="code" href="_dot_serializer_8hpp.xhtml">DotSerializer.hpp</a>></span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include <sstream></span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</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> </div><div class="line"><a name="l00028"></a><span class="lineno"><a class="line" href="classarmnn_1_1_graph.xhtml#a39f90416cf9263d44db1c0a7deeb1b64"> 28</a></span> <a class="code" href="classarmnn_1_1_graph.xhtml#afc5ef9d72cc2c509814200791eaef62c">Graph::Graph</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& other)</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> : m_LayersInOrder(other.m_LayersInOrder)</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> {</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  std::unordered_map<const Layer*, Layer*> otherToClonedMap;</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="keywordflow">for</span> (<span class="keyword">auto</span>&& otherLayer : other.m_Layers)</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  {</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* <span class="keyword">const</span> layer = otherLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#ae89ff455503aa106d00bf34103d2f2e0">Clone</a>(*<span class="keyword">this</span>);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  otherToClonedMap.emplace(otherLayer, layer);</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> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="comment">// Copies slot connections.</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& otherLayer : other.m_Layers)</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* <span class="keyword">const</span> thisLayer = otherToClonedMap[otherLayer];</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>  <span class="keyword">auto</span> outputSlot = thisLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#a817d4be6dd88f532d36f51748ec14185">BeginOutputSlots</a>();</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& otherOutputSlot : otherLayer->GetOutputSlots())</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& otherInputSlot : otherOutputSlot.GetConnections())</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="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& otherTgtLayer = otherInputSlot->GetOwningLayer();</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* <span class="keyword">const</span> thisTgtLayer = otherToClonedMap[&otherTgtLayer];</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>& inputSlot = thisTgtLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(otherInputSlot->GetSlotIndex());</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  outputSlot->Connect(inputSlot);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  }</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  outputSlot->SetTensorInfo(otherOutputSlot.GetTensorInfo());</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  ++outputSlot;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  }</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  }</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> }</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="classarmnn_1_1_graph.xhtml#afd329ee7d721aa6cdaacb8391308e34f"> 61</a></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="classarmnn_1_1_graph.xhtml#afd329ee7d721aa6cdaacb8391308e34f">Graph::Print</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="keyword"></span>{</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">if</span> (m_Layers.empty())</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  {</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) << <span class="stringliteral">"\n Graph is empty.\n"</span>;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">Status::Success</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>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) << <span class="stringliteral">"\n"</span>;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) << <span class="stringliteral">"Walking Pattern: \n"</span>;</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>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& it : <a class="code" href="classarmnn_1_1_graph.xhtml#a9a7209345edfdb2b066b0ceb66414d7c">TopologicalSort</a>())</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>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) << it->GetName() << <span class="stringliteral">":"</span> << <a class="code" href="namespacearmnn.xhtml#a9da573d7a1fc03726fd41f2130cbcf92">GetLayerTypeAsCString</a>(it->GetType())</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  << <span class="stringliteral">":"</span> << it->GetBackendId().Get();</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>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) << <span class="stringliteral">"\n\n"</span>;</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="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">Status::Success</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> </div><div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classarmnn_1_1_graph.xhtml#a131873e7a706fc7ca0637027236916e9"> 81</a></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="classarmnn_1_1_graph.xhtml#a131873e7a706fc7ca0637027236916e9">Graph::SerializeToDot</a>(std::ostream& stream)</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>  {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="classarmnn_1_1_dot_graph.xhtml">DotGraph</a> graph(stream, <span class="stringliteral">"Optimized"</span>);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  {</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="comment">// Default node attributes:</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="classarmnn_1_1_dot_defaults.xhtml">DotDefaults</a> nodes(stream, <span class="stringliteral">"node"</span>);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  nodes.<a class="code" href="classarmnn_1_1_dot_defaults.xhtml#a721c9bf7f2e6a2d88d340253ccc19815">GetAttributeSet</a>()</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  .<a class="code" href="classarmnn_1_1_dot_attribute_set.xhtml#af7b33bce35fe3d2009f2090d950c0160">AddAttribute</a>(<span class="stringliteral">"shape"</span>, <span class="stringliteral">"record"</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"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  {</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="comment">// Default edge attributes:</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="classarmnn_1_1_dot_defaults.xhtml">DotDefaults</a> edges(stream, <span class="stringliteral">"edge"</span>);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  edges.<a class="code" href="classarmnn_1_1_dot_defaults.xhtml#a721c9bf7f2e6a2d88d340253ccc19815">GetAttributeSet</a>()</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  .<a class="code" href="classarmnn_1_1_dot_attribute_set.xhtml#af7b33bce35fe3d2009f2090d950c0160">AddAttribute</a>(<span class="stringliteral">"fontsize"</span>, 8)</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  .<a class="code" href="classarmnn_1_1_dot_attribute_set.xhtml#af7b33bce35fe3d2009f2090d950c0160">AddAttribute</a>(<span class="stringliteral">"fontcolor"</span>, <span class="stringliteral">"blue"</span>)</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  .<a class="code" href="classarmnn_1_1_dot_attribute_set.xhtml#af7b33bce35fe3d2009f2090d950c0160">AddAttribute</a>(<span class="stringliteral">"fontname"</span>, <span class="stringliteral">"arial-bold"</span>);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  }</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="comment">// First declares the nodes.</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& layer : m_Layers)</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  {</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="classarmnn_1_1_dot_node.xhtml">DotNode</a> node(stream, layer->GetGuid(), <a class="code" href="namespacearmnn.xhtml#a9da573d7a1fc03726fd41f2130cbcf92">GetLayerTypeAsCString</a>(layer->GetType()));</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="comment">// Extracts the layer parameters.</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <a class="code" href="namespacearmnn.xhtml#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a> extractParams = [&node](<span class="keyword">const</span> std::string & name, <span class="keyword">const</span> std::string & value){</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  node.<a class="code" href="classarmnn_1_1_dot_node.xhtml#a1734bc659f144a8465e22d4b53b8f580">GetContents</a>().<a class="code" href="classarmnn_1_1_node_content.xhtml#a1beba3dee2a8ebc37e76245302e42eeb">AddContent</a>(name + <span class="stringliteral">" : "</span> + value);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  };</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  layer->SerializeLayerParameters(extractParams);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  }</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="comment">// Second declares the edges.</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& layer : m_Layers)</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>  <a class="code" href="classarmnn_1_1profiling_1_1_profiling_guid.xhtml">LayerGuid</a> toId = layer->GetGuid();</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0;i<layer->GetNumInputSlots(); i++)</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  {</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>* outputSlot = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>*<span class="keyword">></span>(layer->GetInputSlot(i).GetConnection());</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="classarmnn_1_1profiling_1_1_profiling_guid.xhtml">LayerGuid</a> fromId = outputSlot-><a class="code" href="classarmnn_1_1_output_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>().<a class="code" href="classarmnn_1_1_layer.xhtml#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>();</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="classarmnn_1_1_dot_edge.xhtml">DotEdge</a> edge(stream, fromId, toId);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="comment">// Now print the tensor shape on the edge.</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  {</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="comment">// Constructs the label attribute with HTML markup.</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  std::stringstream ss;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  ss << <span class="stringliteral">"< "</span> << outputSlot-><a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() << <span class="stringliteral">" >"</span>;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  edge.<a class="code" href="classarmnn_1_1_dot_edge.xhtml#a721c9bf7f2e6a2d88d340253ccc19815">GetAttributeSet</a>().<a class="code" href="classarmnn_1_1_dot_attribute_set.xhtml#af7b33bce35fe3d2009f2090d950c0160">AddAttribute</a>(<span class="stringliteral">"label"</span>, ss);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  }</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  }</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  }</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  }</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordflow">if</span> (stream.bad())</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  {</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">Status::Failure</a>;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  }</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">Status::Success</a>;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> }</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="classarmnn_1_1_graph.xhtml#a5a989a5f9aeb2935ba932b7f8312fe0c"> 142</a></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="classarmnn_1_1_graph.xhtml#a5a989a5f9aeb2935ba932b7f8312fe0c">Graph::AllocateDynamicBuffers</a>()</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> {</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="comment">// Layers must be sorted in topological order</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  BOOST_ASSERT(m_LayersInOrder);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  std::unordered_set<const ITensorHandle*> preallocatedTensors;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  std::unordered_map<const ITensorHandle*, unsigned int> handleReferenceCounts;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="comment">// Finds the first TensorHandle ancestor of a SubTensorHandle. If the ITensorHandle provided</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="comment">// is a TensorHandle, the function just returns it</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keyword">auto</span> TraceSubTensorHandleAncestry = [](<a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* <span class="keyword">const</span> subTensorHandle)</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="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* ancestor = subTensorHandle;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordflow">while</span> (ancestor && ancestor-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a437893b8dcf58a0b68b70e1ad7933be6">GetParent</a>())</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  {</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  ancestor = ancestor-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a437893b8dcf58a0b68b70e1ad7933be6">GetParent</a>();</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  }</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordflow">return</span> ancestor;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  };</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> </div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="comment">// Checks whether a TensorHandle has been pre-allocated</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keyword">auto</span> IsPreallocated = [&](<a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* <span class="keyword">const</span> tensorHandle)</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  {</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keywordflow">return</span> tensorHandle && preallocatedTensors.find(tensorHandle) != preallocatedTensors.end();</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  };</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="comment">// Constant tensor handles need to last from the beginning of execution till the end,</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="comment">// therefore we pre-allocate them upfront</span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& layer : m_Layers)</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  {</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">if</span> (layer->GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a>)</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  {</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& slot = layer->BeginOutputSlots(); slot != layer->EndOutputSlots(); ++slot)</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  {</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> *tensorHandle = TraceSubTensorHandleAncestry(slot->GetOutputHandler().GetData());</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> </div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordflow">if</span> (tensorHandle && !IsPreallocated(tensorHandle))</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>  tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a5cceed8b707a09bf27eb61f17acf8a88">Allocate</a>();</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  preallocatedTensors.insert(tensorHandle);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  }</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  }</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  }</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  }</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> </div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="comment">// Iterate over the network in topological order</span></div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& layer : m_Layers)</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  {</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="comment">// Count the amount of times each output slot references a certain buffer (ITensorHandle).</span></div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="comment">// The first time we encounter a new tensor handle, we start managing its lifetime.</span></div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& slot = layer->BeginOutputSlots(); slot != layer->EndOutputSlots(); ++slot)</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  {</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> *tensorHandle = TraceSubTensorHandleAncestry(slot->GetOutputHandler().GetData());</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordflow">if</span> (tensorHandle && !IsPreallocated(tensorHandle))</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  {</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numConnections = slot->GetNumConnections();</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordflow">if</span> (handleReferenceCounts.find(tensorHandle) == handleReferenceCounts.end())</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>  handleReferenceCounts[tensorHandle] = numConnections;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a04149d0f9b9c54c05e95693111490daf">Manage</a>();</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">if</span> (handleReferenceCounts[tensorHandle] == 0u)</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  {</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="comment">// if nobody consumes this tensor we call Allocate()</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a5cceed8b707a09bf27eb61f17acf8a88">Allocate</a>();</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  }</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  }</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  {</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  handleReferenceCounts[tensorHandle] += numConnections;</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  }</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  }</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  }</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="comment">// Loop through the input slots in the same layer and decrement the reference counter associated</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="comment">// to each tensor handle we encounter. Once it reaches zero, we end the lifetime of the tensor handle</span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& slot = layer->BeginInputSlots(); slot != layer->EndInputSlots(); ++slot)</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  {</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> *tensorHandle = TraceSubTensorHandleAncestry(</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  slot->GetConnectedOutputSlot()->GetOutputHandler().GetData());</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> </div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordflow">if</span> (tensorHandle && !IsPreallocated(tensorHandle))</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  {</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  --handleReferenceCounts[tensorHandle];</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> </div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keywordflow">if</span> (handleReferenceCounts[tensorHandle] == 0u)</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>  <span class="comment">// Stop managing lifetime of tensor handle</span></div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a5cceed8b707a09bf27eb61f17acf8a88">Allocate</a>();</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  handleReferenceCounts.erase(tensorHandle);</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  }</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  }</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  }</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  }</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> </div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">Status::Success</a>;</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> }</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> </div><div class="line"><a name="l00240"></a><span class="lineno"><a class="line" href="classarmnn_1_1_graph.xhtml#a76cb58c34822f4a447a944fc4490c96a"> 240</a></span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& <a class="code" href="classarmnn_1_1_graph.xhtml#a9a7209345edfdb2b066b0ceb66414d7c">Graph::TopologicalSort</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> <span class="keyword"></span>{</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keywordflow">if</span> (!m_LayersInOrder)</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  {</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="comment">// Resets layer order.</span></div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& it : m_Layers)</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  {</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  it->ResetPriority();</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  }</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="keyword">auto</span> compareLayerPriority = [](<span class="keyword">const</span> LayerList::value_type& layerA, <span class="keyword">const</span> LayerList::value_type& layerB)</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>  <span class="keywordflow">return</span> layerA->GetPriority() < layerB->GetPriority();</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  };</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>  m_Layers.sort(compareLayerPriority);</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  m_LayersInOrder = <span class="keyword">true</span>;</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  }</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordflow">return</span> *<span class="keyword">this</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"><a class="line" href="classarmnn_1_1_graph.xhtml#ad1bbee7bf5f93b792675886f57d3ebe0"> 263</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_graph.xhtml#ad1bbee7bf5f93b792675886f57d3ebe0">Graph::AddCompatibilityLayers</a>(std::map<<a class="code" href="classarmnn_1_1_backend_id.xhtml">BackendId</a>, std::unique_ptr<IBackendInternal>>& backends,</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a>& registry)</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="comment">// Returns true if the given layer could potentially need an intermediate copy/import layer (depending on its</span></div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="comment">// connections to other layers).</span></div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keyword">auto</span> MayNeedCompatibilityLayer = [](<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& layer)</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  {</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="comment">// All layers should have been associated with a valid compute device at this point.</span></div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  BOOST_ASSERT(layer.GetBackendId() != <a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>);</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="comment">// Does not need another compatibility layer if a copy or import layer is already present.</span></div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">return</span> layer.GetType() != <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">LayerType::MemCopy</a> &&</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  layer.GetType() != <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">LayerType::MemImport</a>;</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  };</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> </div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keyword">auto</span> IsCompatibilityStrategy = [](<a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016">EdgeStrategy</a> strategy)</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  {</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keywordflow">return</span> strategy == <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016ac366da48cc11956ae377a77751936852">EdgeStrategy::CopyToTarget</a> ||</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  strategy == <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016a46e8b7bfd6fd3c0cb34a100478a39189">EdgeStrategy::ExportToTarget</a>;</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> </div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <a class="code" href="classarmnn_1_1_graph.xhtml#ad6521013ad981519904822f2ada2c4ec">ForEachLayer</a>([<span class="keyword">this</span>, &backends, &registry, MayNeedCompatibilityLayer, IsCompatibilityStrategy](<a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* srcLayer)</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>  BOOST_ASSERT(srcLayer);</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keywordflow">if</span> (!MayNeedCompatibilityLayer(*srcLayer))</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="comment">// The current layer does not need copy layers, move to the next one</span></div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  }</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span> </div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keyword">const</span> std::vector<OutputSlot>& srcOutputSlots = srcLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#a98cdff4e0b45f4c80bfcedaf926e16e0">GetOutputSlots</a>();</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> srcOutputIndex = 0; srcOutputIndex < srcOutputSlots.size(); srcOutputIndex++)</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>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& srcOutputSlot = srcLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(srcOutputIndex);</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keyword">const</span> std::vector<InputSlot*> srcConnections = srcOutputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a50b562d4a4edc64d7d8abcca056f0b8c">GetConnections</a>();</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keyword">const</span> std::vector<EdgeStrategy> srcEdgeStrategies = srcOutputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a29ce2fa137002ecdafe9ad28e441a36d">GetEdgeStrategies</a>();</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> srcConnectionIndex = 0; srcConnectionIndex < srcConnections.size(); srcConnectionIndex++)</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>  <a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>* dstInputSlot = srcConnections[srcConnectionIndex];</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  BOOST_ASSERT(dstInputSlot);</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span> </div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016">EdgeStrategy</a> strategy = srcEdgeStrategies[srcConnectionIndex];</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  BOOST_ASSERT_MSG(strategy != <a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">EdgeStrategy::Undefined</a>,</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="stringliteral">"Undefined memory strategy found while adding copy layers for compatibility"</span>);</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>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& dstLayer = dstInputSlot-><a class="code" href="classarmnn_1_1_input_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordflow">if</span> (MayNeedCompatibilityLayer(dstLayer) &&</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  IsCompatibilityStrategy(strategy))</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  {</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="comment">// A copy layer is needed in between the source and destination layers.</span></div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="comment">// Record the operation rather than attempting to modify the graph as we go.</span></div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="comment">// (invalidating iterators)</span></div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keyword">const</span> std::string compLayerName = boost::str(boost::format(<span class="stringliteral">"[ %1% (%2%) -> %3% (%4%) ]"</span>)</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  % srcLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>()</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  % srcOutputIndex</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  % dstLayer.<a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>()</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  % dstInputSlot-><a class="code" href="classarmnn_1_1_input_slot.xhtml#a3f1b6ae1550775ac9eef0cac0ea4266f">GetSlotIndex</a>());</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span> </div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* compLayer = <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keywordflow">if</span> (strategy == <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016ac366da48cc11956ae377a77751936852">EdgeStrategy::CopyToTarget</a>)</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  {</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  compLayer = InsertNewLayer<MemCopyLayer>(*dstInputSlot, compLayerName.c_str());</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  }</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  {</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  BOOST_ASSERT_MSG(strategy == <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016a46e8b7bfd6fd3c0cb34a100478a39189">EdgeStrategy::ExportToTarget</a>, <span class="stringliteral">"Invalid edge strategy found."</span>);</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  compLayer = InsertNewLayer<MemImportLayer>(*dstInputSlot, compLayerName.c_str());</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  }</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span> </div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  compLayer->SetBackendId(dstLayer.<a class="code" href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>());</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> </div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& compOutputSlot = compLayer->GetOutputSlot(0);</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keyword">auto</span> backendIt = backends.find(dstLayer.<a class="code" href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>());</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="keywordflow">if</span> (backendIt != backends.end() &&</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  backendIt->second &&</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  backendIt->second->SupportsTensorAllocatorAPI())</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  {</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keyword">auto</span> backend = backendIt->second.get();</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keyword">auto</span> tensorHandleFactoryIds = backend->GetHandleFactoryPreferences();</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keywordtype">bool</span> found = <span class="keyword">false</span>;</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span> </div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> preference : tensorHandleFactoryIds)</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  {</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keyword">auto</span> factory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(preference);</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordflow">if</span> (factory)</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  {</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keyword">auto</span> srcPref = srcOutputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#af303cf872a3f95e29992e45224e4cf8e">GetTensorHandleFactoryId</a>();</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keyword">auto</span> srcFactory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(srcPref);</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> </div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="keywordflow">if</span> (srcFactory)</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  {</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keywordtype">bool</span> canExportImport =</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  (factory->GetImportFlags() & srcFactory->GetExportFlags()) != 0;</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> </div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keywordflow">if</span> (factory->SupportsMapUnmap() || canExportImport)</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  {</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  compOutputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#af29f6883785691ef946d0c32b6d2f338">SetTensorHandleFactory</a>(preference);</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  found = <span class="keyword">true</span>;</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  }</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  }</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  }</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  }</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span> </div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="keywordflow">if</span> (!found)</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  {</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  compOutputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#af29f6883785691ef946d0c32b6d2f338">SetTensorHandleFactory</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</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>  }</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  {</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  compOutputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#af29f6883785691ef946d0c32b6d2f338">SetTensorHandleFactory</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>);</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  }</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="comment">// The output strategy of a compatibility layer is always DirectCompatibility.</span></div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  compOutputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a3f80ddd1f76ed4ad599e0d1a00659ee5">SetEdgeStrategy</a>(0, <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016a78d1be0baa31e083ae8da99aaedaf650">EdgeStrategy::DirectCompatibility</a>);</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span> </div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="comment">// Recalculate the connection index on the previous layer as we have just inserted into it.</span></div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="keyword">const</span> std::vector<InputSlot*>& newSourceConnections = srcOutputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a50b562d4a4edc64d7d8abcca056f0b8c">GetConnections</a>();</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keywordtype">long</span> newSrcConnectionIndex = std::distance(newSourceConnections.begin(),</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  std::find(newSourceConnections.begin(),</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  newSourceConnections.end(),</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  &compLayer->GetInputSlot(0)));</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span> </div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="comment">// The input strategy of a compatibility layer is always DirectCompatibilty.</span></div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  srcOutputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a3f80ddd1f76ed4ad599e0d1a00659ee5">SetEdgeStrategy</a>(boost::numeric_cast<unsigned int>(newSrcConnectionIndex),</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016a78d1be0baa31e083ae8da99aaedaf650">EdgeStrategy::DirectCompatibility</a>);</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  }</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  }</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  }</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  });</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span> }</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span> </div><div class="line"><a name="l00396"></a><span class="lineno"><a class="line" href="classarmnn_1_1_graph.xhtml#aafbd4b469e47160017f409df8d077184"> 396</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_graph.xhtml#aafbd4b469e47160017f409df8d077184">Graph::SubstituteSubgraph</a>(<a class="code" href="classarmnn_1_1_subgraph_view.xhtml">SubgraphView</a>& subgraph, <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* substituteLayer)</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span> {</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  BOOST_ASSERT(substituteLayer != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span> </div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  ReplaceSubgraphConnections(subgraph, substituteLayer);</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  EraseSubgraphLayers(subgraph);</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span> }</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span> </div><div class="line"><a name="l00404"></a><span class="lineno"><a class="line" href="classarmnn_1_1_graph.xhtml#a4443d9ad865522c39d06556a9dbbeb58"> 404</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_graph.xhtml#aafbd4b469e47160017f409df8d077184">Graph::SubstituteSubgraph</a>(<a class="code" href="classarmnn_1_1_subgraph_view.xhtml">SubgraphView</a>& subgraph, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_subgraph_view.xhtml">SubgraphView</a>& substituteSubgraph)</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>  <span class="comment">// Look through each layer in the new subgraph and add any that are not already a member of this graph</span></div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  substituteSubgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#ad6521013ad981519904822f2ada2c4ec">ForEachLayer</a>([<span class="keyword">this</span>](<a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* layer)</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  {</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keywordflow">if</span> (std::find(std::begin(m_Layers), std::end(m_Layers), layer) == std::end(m_Layers))</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  {</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  layer-><a class="code" href="classarmnn_1_1_layer.xhtml#a72b18e4c5a403bc3fe2fecf20135c8d6">Reparent</a>(*<span class="keyword">this</span>, m_Layers.end());</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  m_LayersInOrder = <span class="keyword">false</span>;</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  }</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  });</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span> </div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  ReplaceSubgraphConnections(subgraph, substituteSubgraph);</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  EraseSubgraphLayers(subgraph);</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <a class="code" href="classarmnn_1_1_graph.xhtml#a9a7209345edfdb2b066b0ceb66414d7c">TopologicalSort</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> </div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> <span class="keywordtype">void</span> Graph::ReplaceSubgraphConnections(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_subgraph_view.xhtml">SubgraphView</a>& subgraph, <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* substituteLayer)</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span> {</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  BOOST_ASSERT(substituteLayer != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span> </div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="comment">// Create a new sub-graph with only the given layer, using</span></div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="comment">// the given sub-graph as a reference of which parent graph to use</span></div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <a class="code" href="classarmnn_1_1_subgraph_view.xhtml">SubgraphView</a> substituteSubgraph(substituteLayer);</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  ReplaceSubgraphConnections(subgraph, substituteSubgraph);</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span> }</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span> </div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span> <span class="keywordtype">void</span> Graph::ReplaceSubgraphConnections(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_subgraph_view.xhtml">SubgraphView</a>& subgraph, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_subgraph_view.xhtml">SubgraphView</a>& substituteSubgraph)</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span> {</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  BOOST_ASSERT_MSG(!substituteSubgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#ac8ac9809196ec980b8472fbc8367697a">GetLayers</a>().empty(), <span class="stringliteral">"New sub-graph used for substitution must not be empty"</span>);</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span> </div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a74798938fdaeae75c8adfa4a7439e7f9">SubgraphView::Layers</a>& substituteSubgraphLayers = substituteSubgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#ac8ac9809196ec980b8472fbc8367697a">GetLayers</a>();</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  std::for_each(substituteSubgraphLayers.begin(), substituteSubgraphLayers.end(), [&](<a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* layer)</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  {</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(layer);</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  BOOST_ASSERT_MSG(std::find(m_Layers.begin(), m_Layers.end(), layer) != m_Layers.end(),</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="stringliteral">"Substitute layer is not a member of graph"</span>);</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> </div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a5cc65e15002dbc33a5c8a7d6680e9a9d">SubgraphView::InputSlots</a>& subgraphInputSlots = subgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a0b066a26219bcae83ca3e1d7f60fb123">GetInputSlots</a>();</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a78293334750ec5279eb9c96d56deaf08">SubgraphView::OutputSlots</a>& subgraphOutputSlots = subgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a4b924dd808b6a155518d552c7ef3728f">GetOutputSlots</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"> 446</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> subgraphNumInputSlots = <a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a><<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>>(subgraphInputSlots.size());</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> subgraphNumOutputSlots = <a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a><<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>>(subgraphOutputSlots.size());</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span> </div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a5cc65e15002dbc33a5c8a7d6680e9a9d">SubgraphView::InputSlots</a>& substituteSubgraphInputSlots = substituteSubgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a0b066a26219bcae83ca3e1d7f60fb123">GetInputSlots</a>();</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a78293334750ec5279eb9c96d56deaf08">SubgraphView::OutputSlots</a>& substituteSubgraphOutputSlots = substituteSubgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a4b924dd808b6a155518d552c7ef3728f">GetOutputSlots</a>();</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span> </div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  BOOST_ASSERT(subgraphNumInputSlots == substituteSubgraphInputSlots.size());</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  BOOST_ASSERT(subgraphNumOutputSlots == substituteSubgraphOutputSlots.size());</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span> </div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="comment">// Disconnect the sub-graph and replace it with the substitute sub-graph</span></div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span> </div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="comment">// Step 1: process input slots</span></div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputSlotIdx = 0; inputSlotIdx < subgraphNumInputSlots; ++inputSlotIdx)</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  {</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>* subgraphInputSlot = subgraphInputSlots.at(inputSlotIdx);</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  BOOST_ASSERT(subgraphInputSlot);</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span> </div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">IOutputSlot</a>* connectedOutputSlot = subgraphInputSlot-><a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>();</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  BOOST_ASSERT(connectedOutputSlot);</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  connectedOutputSlot-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ae16a4d0c56ca96e5d61785bd3e3e7992">Disconnect</a>(*subgraphInputSlot);</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span> </div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <a class="code" href="classarmnn_1_1_i_input_slot.xhtml">IInputSlot</a>* substituteInputSlot = substituteSubgraphInputSlots.at(inputSlotIdx);</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  BOOST_ASSERT(substituteInputSlot);</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  connectedOutputSlot-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(*substituteInputSlot);</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  }</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span> </div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="comment">// Step 2: process output slots</span></div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputSlotIdx = 0; outputSlotIdx < subgraphNumOutputSlots; ++outputSlotIdx)</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  {</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>* subgraphOutputSlot = subgraphOutputSlots.at(outputSlotIdx);</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  BOOST_ASSERT(subgraphOutputSlot);</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span> </div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>* substituteOutputSlot = substituteSubgraphOutputSlots.at(outputSlotIdx);</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  BOOST_ASSERT(substituteOutputSlot);</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  subgraphOutputSlot-><a class="code" href="classarmnn_1_1_output_slot.xhtml#a19d30f83e90f2612e6aec510715f790d">MoveAllConnections</a>(*substituteOutputSlot);</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  }</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span> }</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span> </div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span> <span class="keywordtype">void</span> Graph::EraseSubgraphLayers(<a class="code" href="classarmnn_1_1_subgraph_view.xhtml">SubgraphView</a> &subgraph)</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span> {</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> layer : subgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#ac8ac9809196ec980b8472fbc8367697a">GetLayers</a>())</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  {</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <a class="code" href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(layer);</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  }</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  subgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#aa71d36872f416feaa853788a7a7a7ef8">Clear</a>();</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span> }</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span> </div><div class="line"><a name="l00493"></a><span class="lineno"><a class="line" href="classarmnn_1_1_graph.xhtml#a2ceda8d369e861997d558fac74d79c33"> 493</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_graph.xhtml#a2ceda8d369e861997d558fac74d79c33">Graph::InferTensorInfos</a>()</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span> {</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& layer : <a class="code" href="classarmnn_1_1_graph.xhtml#a9a7209345edfdb2b066b0ceb66414d7c">TopologicalSort</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"> 497</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& input : layer->GetInputSlots())</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  {</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">IOutputSlot</a>* source = input.GetConnectedOutputSlot();</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="keywordflow">if</span> (source == NULL)</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  {</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  std::ostringstream message;</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  message << <span class="stringliteral">"Input not connected on "</span></div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  << <a class="code" href="namespacearmnn.xhtml#a9da573d7a1fc03726fd41f2130cbcf92">GetLayerTypeAsCString</a>(layer->GetType())</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  << <span class="stringliteral">" layer \""</span></div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  << layer->GetName()</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  << <span class="stringliteral">"\""</span>;</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.xhtml">LayerValidationException</a>(message.str());</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  }</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span> </div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keywordflow">if</span> (!source-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ab4e57caf059794897b17266090ebcb39">IsTensorInfoSet</a>())</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  {</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.xhtml">LayerValidationException</a>(<span class="stringliteral">"All inputs must have the TensorInfo set at this point."</span>);</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  }</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  }</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  layer->ValidateTensorShapesFromInputs();</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  }</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span> }</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span> </div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span> } <span class="comment">// namespace armnn</span></div><div class="ttc" id="classarmnn_1_1_dot_edge_xhtml"><div class="ttname"><a href="classarmnn_1_1_dot_edge.xhtml">armnn::DotEdge</a></div><div class="ttdef"><b>Definition:</b> <a href="_dot_serializer_8hpp_source.xhtml#l00077">DotSerializer.hpp:77</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a50b562d4a4edc64d7d8abcca056f0b8c"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a50b562d4a4edc64d7d8abcca056f0b8c">armnn::OutputSlot::GetConnections</a></div><div class="ttdeci">const std::vector< InputSlot * > & GetConnections() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00125">Layer.hpp:125</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00061">INetwork.hpp:61</a></div></div> +<div class="ttc" id="classarmnn_1_1_node_content_xhtml_a1beba3dee2a8ebc37e76245302e42eeb"><div class="ttname"><a href="classarmnn_1_1_node_content.xhtml#a1beba3dee2a8ebc37e76245302e42eeb">armnn::NodeContent::AddContent</a></div><div class="ttdeci">NodeContent & AddContent(const std::string &content)</div><div class="ttdef"><b>Definition:</b> <a href="_dot_serializer_8cpp_source.xhtml#l00147">DotSerializer.cpp:147</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a3f80ddd1f76ed4ad599e0d1a00659ee5"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a3f80ddd1f76ed4ad599e0d1a00659ee5">armnn::OutputSlot::SetEdgeStrategy</a></div><div class="ttdeci">void SetEdgeStrategy(unsigned int connectionIndex, EdgeStrategy strategy)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00177">Layer.cpp:177</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_aff209afc1dc598da399e3e78617ce016a78d1be0baa31e083ae8da99aaedaf650"><div class="ttname"><a href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016a78d1be0baa31e083ae8da99aaedaf650">armnn::EdgeStrategy::DirectCompatibility</a></div><div class="ttdoc">No strategy has been defined. Used internally to verify integrity of optimizations. </div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00088">Tensor.hpp:88</a></div></div> +<div class="ttc" id="_utils_8hpp_xhtml"><div class="ttname"><a href="_utils_8hpp.xhtml">Utils.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_graph_xhtml_a131873e7a706fc7ca0637027236916e9"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a131873e7a706fc7ca0637027236916e9">armnn::Graph::SerializeToDot</a></div><div class="ttdeci">Status SerializeToDot(std::ostream &stream)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00081">Graph.cpp:81</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a29ce2fa137002ecdafe9ad28e441a36d"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a29ce2fa137002ecdafe9ad28e441a36d">armnn::OutputSlot::GetEdgeStrategies</a></div><div class="ttdeci">const std::vector< EdgeStrategy > & GetEdgeStrategies() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00126">Layer.hpp:126</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a72b18e4c5a403bc3fe2fecf20135c8d6"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a72b18e4c5a403bc3fe2fecf20135c8d6">armnn::Layer::Reparent</a></div><div class="ttdeci">virtual void Reparent(Graph &dest, std::list< Layer *>::const_iterator iterator)=0</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="namespacearmnn_xhtml_aff209afc1dc598da399e3e78617ce016ac366da48cc11956ae377a77751936852"><div class="ttname"><a href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016ac366da48cc11956ae377a77751936852">armnn::EdgeStrategy::CopyToTarget</a></div><div class="ttdoc">Source backends tensor data can be exported to destination backend tensor without copy...</div></div> +<div class="ttc" id="classarmnn_1_1profiling_1_1_profiling_guid_xhtml"><div class="ttname"><a href="classarmnn_1_1profiling_1_1_profiling_guid.xhtml">armnn::profiling::ProfilingGuid</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00252">Types.hpp:252</a></div></div> +<div class="ttc" id="classarmnn_1_1_graph_xhtml_a96d76fd10af39fbfabfd0caf0d1439fa"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">armnn::Graph::EraseLayer</a></div><div class="ttdeci">void EraseLayer(Iterator pos)</div><div class="ttdoc">Deletes the layer at the specified position. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00442">Graph.hpp:442</a></div></div> +<div class="ttc" id="classarmnn_1_1_subgraph_view_xhtml_a78293334750ec5279eb9c96d56deaf08"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#a78293334750ec5279eb9c96d56deaf08">armnn::SubgraphView::OutputSlots</a></div><div class="ttdeci">std::vector< OutputSlot * > OutputSlots</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8hpp_source.xhtml#l00039">SubgraphView.hpp:39</a></div></div> +<div class="ttc" id="_dot_serializer_8hpp_xhtml"><div class="ttname"><a href="_dot_serializer_8hpp.xhtml">DotSerializer.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_dot_defaults_xhtml_a721c9bf7f2e6a2d88d340253ccc19815"><div class="ttname"><a href="classarmnn_1_1_dot_defaults.xhtml#a721c9bf7f2e6a2d88d340253ccc19815">armnn::DotDefaults::GetAttributeSet</a></div><div class="ttdeci">DotAttributeSet & GetAttributeSet()</div><div class="ttdef"><b>Definition:</b> <a href="_dot_serializer_8hpp_source.xhtml#l00120">DotSerializer.hpp:120</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_a5cceed8b707a09bf27eb61f17acf8a88"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a5cceed8b707a09bf27eb61f17acf8a88">armnn::ITensorHandle::Allocate</a></div><div class="ttdeci">virtual void Allocate()=0</div><div class="ttdoc">Indicate to the memory manager that this resource is no longer active. </div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_ae89ff455503aa106d00bf34103d2f2e0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#ae89ff455503aa106d00bf34103d2f2e0">armnn::Layer::Clone</a></div><div class="ttdeci">virtual Layer * Clone(Graph &graph) const =0</div><div class="ttdoc">Creates a dynamically-allocated copy of this layer. </div></div> +<div class="ttc" id="_logging_8hpp_xhtml_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.xhtml#l00163">Logging.hpp:163</a></div></div> +<div class="ttc" id="classarmnn_1_1_dot_defaults_xhtml"><div class="ttname"><a href="classarmnn_1_1_dot_defaults.xhtml">armnn::DotDefaults</a></div><div class="ttdef"><b>Definition:</b> <a href="_dot_serializer_8hpp_source.xhtml#l00114">DotSerializer.hpp:114</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_a04149d0f9b9c54c05e95693111490daf"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a04149d0f9b9c54c05e95693111490daf">armnn::ITensorHandle::Manage</a></div><div class="ttdeci">virtual void Manage()=0</div><div class="ttdoc">Indicate to the memory manager that this resource is active. </div></div> +<div class="ttc" id="_subgraph_view_8hpp_xhtml"><div class="ttname"><a href="_subgraph_view_8hpp.xhtml">SubgraphView.hpp</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="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a3153abb7c0c0a84629079b2fac7db54f"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">armnn::InputSlot::GetConnection</a></div><div class="ttdeci">const IOutputSlot * GetConnection() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00199">Layer.hpp:199</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_aff209afc1dc598da399e3e78617ce016a46e8b7bfd6fd3c0cb34a100478a39189"><div class="ttname"><a href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016a46e8b7bfd6fd3c0cb34a100478a39189">armnn::EdgeStrategy::ExportToTarget</a></div><div class="ttdoc">Destination backend can work directly with tensors on source backend. </div></div> +<div class="ttc" id="classarmnn_1_1_subgraph_view_xhtml"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml">armnn::SubgraphView</a></div><div class="ttdoc">The SubgraphView class represents a subgraph of a Graph. </div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8hpp_source.xhtml#l00023">SubgraphView.hpp:23</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00310">Layer.hpp:310</a></div></div> +<div class="ttc" id="_types_utils_8hpp_xhtml"><div class="ttname"><a href="_types_utils_8hpp.xhtml">TypesUtils.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_graph_xhtml_ad6521013ad981519904822f2ada2c4ec"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#ad6521013ad981519904822f2ada2c4ec">armnn::Graph::ForEachLayer</a></div><div class="ttdeci">void ForEachLayer(Func func) const</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00039">Graph.hpp:39</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a></div></div> +<div class="ttc" id="classarmnn_1_1_dot_node_xhtml"><div class="ttname"><a href="classarmnn_1_1_dot_node.xhtml">armnn::DotNode</a></div><div class="ttdef"><b>Definition:</b> <a href="_dot_serializer_8hpp_source.xhtml#l00101">DotSerializer.hpp:101</a></div></div> +<div class="ttc" id="include_2armnn_2backends_2_i_backend_internal_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_2backends_2_i_backend_internal_8hpp.xhtml">IBackendInternal.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a9da573d7a1fc03726fd41f2130cbcf92"><div class="ttname"><a href="namespacearmnn.xhtml#a9da573d7a1fc03726fd41f2130cbcf92">armnn::GetLayerTypeAsCString</a></div><div class="ttdeci">char const * GetLayerTypeAsCString(LayerType type)</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8cpp_source.xhtml#l00013">InternalTypes.cpp:13</a></div></div> +<div class="ttc" id="classarmnn_1_1_dot_attribute_set_xhtml_af7b33bce35fe3d2009f2090d950c0160"><div class="ttname"><a href="classarmnn_1_1_dot_attribute_set.xhtml#af7b33bce35fe3d2009f2090d950c0160">armnn::DotAttributeSet::AddAttribute</a></div><div class="ttdeci">DotAttributeSet & AddAttribute(const std::string &name, const std::stringstream &value)</div><div class="ttdef"><b>Definition:</b> <a href="_dot_serializer_8cpp_source.xhtml#l00095">DotSerializer.cpp:95</a></div></div> +<div class="ttc" id="classarmnn_1_1_dot_node_xhtml_a1734bc659f144a8465e22d4b53b8f580"><div class="ttname"><a href="classarmnn_1_1_dot_node.xhtml#a1734bc659f144a8465e22d4b53b8f580">armnn::DotNode::GetContents</a></div><div class="ttdeci">NodeContent & GetContents()</div><div class="ttdef"><b>Definition:</b> <a href="_dot_serializer_8hpp_source.xhtml#l00107">DotSerializer.hpp:107</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a></div><div class="ttdoc">An output connection slot for a layer. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00037">INetwork.hpp:37</a></div></div> +<div class="ttc" id="_graph_8hpp_xhtml"><div class="ttname"><a href="_graph_8hpp.xhtml">Graph.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml">armnn::ITensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.xhtml#l00015">ITensorHandle.hpp:15</a></div></div> +<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a3f1b6ae1550775ac9eef0cac0ea4266f"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a3f1b6ae1550775ac9eef0cac0ea4266f">armnn::InputSlot::GetSlotIndex</a></div><div class="ttdeci">unsigned int GetSlotIndex() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00053">Layer.hpp:53</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_validation_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer_validation_exception.xhtml">armnn::LayerValidationException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00105">Exceptions.hpp:105</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Compute::Undefined</a></div></div> +<div class="ttc" id="classarmnn_1_1_graph_xhtml_afc5ef9d72cc2c509814200791eaef62c"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#afc5ef9d72cc2c509814200791eaef62c">armnn::Graph::Graph</a></div><div class="ttdeci">Graph()</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00095">Graph.hpp:95</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_ae16a4d0c56ca96e5d61785bd3e3e7992"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#ae16a4d0c56ca96e5d61785bd3e3e7992">armnn::IOutputSlot::Disconnect</a></div><div class="ttdeci">virtual void Disconnect(IInputSlot &slot)=0</div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_a437893b8dcf58a0b68b70e1ad7933be6"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a437893b8dcf58a0b68b70e1ad7933be6">armnn::ITensorHandle::GetParent</a></div><div class="ttdeci">virtual ITensorHandle * GetParent() const =0</div><div class="ttdoc">Get the parent tensor if this is a subtensor. </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="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::LayerType::MemCopy</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="namespacearmnn_xhtml_a37fa39012e90d568df7f774cd6d1e956"><div class="ttname"><a href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">armnn::numeric_cast</a></div><div class="ttdeci">std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)</div><div class="ttdef"><b>Definition:</b> <a href="_numeric_cast_8hpp_source.xhtml#l00033">NumericCast.hpp:33</a></div></div> +<div class="ttc" id="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_layer_xhtml_afdb1d37740e7a083b625d669588b6a0e"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">armnn::Layer::GetBackendId</a></div><div class="ttdeci">const BackendId & GetBackendId() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00263">Layer.hpp:263</a></div></div> +<div class="ttc" id="_backend_id_8hpp_xhtml"><div class="ttname"><a href="_backend_id_8hpp.xhtml">BackendId.hpp</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_subgraph_view_xhtml_aa71d36872f416feaa853788a7a7a7ef8"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#aa71d36872f416feaa853788a7a7a7ef8">armnn::SubgraphView::Clear</a></div><div class="ttdeci">void Clear()</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8cpp_source.xhtml#l00194">SubgraphView.cpp:194</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a98cdff4e0b45f4c80bfcedaf926e16e0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a98cdff4e0b45f4c80bfcedaf926e16e0">armnn::Layer::GetOutputSlots</a></div><div class="ttdeci">const std::vector< OutputSlot > & GetOutputSlots() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00232">Layer.hpp:232</a></div></div> +<div class="ttc" id="classarmnn_1_1_subgraph_view_xhtml_a5cc65e15002dbc33a5c8a7d6680e9a9d"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#a5cc65e15002dbc33a5c8a7d6680e9a9d">armnn::SubgraphView::InputSlots</a></div><div class="ttdeci">std::vector< InputSlot * > InputSlots</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8hpp_source.xhtml#l00038">SubgraphView.hpp:38</a></div></div> +<div class="ttc" id="_logging_8hpp_xhtml"><div class="ttname"><a href="_logging_8hpp.xhtml">Logging.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_handle_factory_registry_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">armnn::TensorHandleFactoryRegistry</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8hpp_source.xhtml#l00020">TensorHandleFactoryRegistry.hpp:20</a></div></div> +<div class="ttc" id="classarmnn_1_1_graph_xhtml_aafbd4b469e47160017f409df8d077184"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#aafbd4b469e47160017f409df8d077184">armnn::Graph::SubstituteSubgraph</a></div><div class="ttdeci">void SubstituteSubgraph(SubgraphView &subgraph, IConnectableLayer *substituteLayer)</div><div class="ttdoc">Substitutes the given sub-graph with either a new layer or a new sub-graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00396">Graph.cpp:396</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_af29f6883785691ef946d0c32b6d2f338"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#af29f6883785691ef946d0c32b6d2f338">armnn::OutputSlot::SetTensorHandleFactory</a></div><div class="ttdeci">void SetTensorHandleFactory(const ITensorHandleFactory::FactoryId &id)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00167">Layer.cpp:167</a></div></div> +<div class="ttc" id="classarmnn_1_1_subgraph_view_xhtml_a0b066a26219bcae83ca3e1d7f60fb123"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#a0b066a26219bcae83ca3e1d7f60fb123">armnn::SubgraphView::GetInputSlots</a></div><div class="ttdeci">const InputSlots & GetInputSlots() const</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8cpp_source.xhtml#l00119">SubgraphView.cpp:119</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_aff209afc1dc598da399e3e78617ce016"><div class="ttname"><a href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016">armnn::EdgeStrategy</a></div><div class="ttdeci">EdgeStrategy</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00064">ITensorHandleFactory.hpp:64</a></div></div> +<div class="ttc" id="classarmnn_1_1_dot_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_dot_graph.xhtml">armnn::DotGraph</a></div><div class="ttdef"><b>Definition:</b> <a href="_dot_serializer_8hpp_source.xhtml#l00125">DotSerializer.hpp:125</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::LayerType::MemImport</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a817d4be6dd88f532d36f51748ec14185"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a817d4be6dd88f532d36f51748ec14185">armnn::Layer::BeginOutputSlots</a></div><div class="ttdeci">std::vector< OutputSlot >::iterator BeginOutputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00239">Layer.hpp:239</a></div></div> +<div class="ttc" id="classarmnn_1_1_subgraph_view_xhtml_a4b924dd808b6a155518d552c7ef3728f"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#a4b924dd808b6a155518d552c7ef3728f">armnn::SubgraphView::GetOutputSlots</a></div><div class="ttdeci">const OutputSlots & GetOutputSlots() const</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8cpp_source.xhtml#l00124">SubgraphView.cpp:124</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">armnn::Status::Failure</a></div></div> +<div class="ttc" id="classarmnn_1_1_graph_xhtml_a2ceda8d369e861997d558fac74d79c33"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a2ceda8d369e861997d558fac74d79c33">armnn::Graph::InferTensorInfos</a></div><div class="ttdeci">void InferTensorInfos()</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00493">Graph.cpp:493</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_handle_factory_registry_xhtml_ae5ecc42140a12c855554a4a621fc8456"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#ae5ecc42140a12c855554a4a621fc8456">armnn::TensorHandleFactoryRegistry::GetFactory</a></div><div class="ttdeci">ITensorHandleFactory * GetFactory(ITensorHandleFactory::FactoryId id) const</div><div class="ttdoc">Find a TensorHandleFactory by Id Returns nullptr if not found. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00039">TensorHandleFactoryRegistry.cpp:39</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_ab4e57caf059794897b17266090ebcb39"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#ab4e57caf059794897b17266090ebcb39">armnn::IOutputSlot::IsTensorInfoSet</a></div><div class="ttdeci">virtual bool IsTensorInfoSet() const =0</div></div> +<div class="ttc" id="classarmnn_1_1_subgraph_view_xhtml_ac8ac9809196ec980b8472fbc8367697a"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#ac8ac9809196ec980b8472fbc8367697a">armnn::SubgraphView::GetLayers</a></div><div class="ttdeci">const Layers & GetLayers() const</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8cpp_source.xhtml#l00159">SubgraphView.cpp:159</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_dot_edge_xhtml_a721c9bf7f2e6a2d88d340253ccc19815"><div class="ttname"><a href="classarmnn_1_1_dot_edge.xhtml#a721c9bf7f2e6a2d88d340253ccc19815">armnn::DotEdge::GetAttributeSet</a></div><div class="ttdeci">DotAttributeSet & GetAttributeSet()</div><div class="ttdef"><b>Definition:</b> <a href="_dot_serializer_8hpp_source.xhtml#l00083">DotSerializer.hpp:83</a></div></div> +<div class="ttc" id="_layers_fwd_8hpp_xhtml"><div class="ttname"><a href="_layers_fwd_8hpp.xhtml">LayersFwd.hpp</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_output_slot_xhtml_af303cf872a3f95e29992e45224e4cf8e"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#af303cf872a3f95e29992e45224e4cf8e">armnn::OutputSlot::GetTensorHandleFactoryId</a></div><div class="ttdeci">ITensorHandleFactory::FactoryId GetTensorHandleFactoryId() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00172">Layer.cpp:172</a></div></div> +<div class="ttc" id="classarmnn_1_1_graph_xhtml_a9a7209345edfdb2b066b0ceb66414d7c"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a9a7209345edfdb2b066b0ceb66414d7c">armnn::Graph::TopologicalSort</a></div><div class="ttdeci">Graph & TopologicalSort()</div><div class="ttdoc">Sorts layers in topological order and return this. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00173">Graph.hpp:173</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_ac1835f8756a9f03c02fcf9664e3a0fce"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">armnn::IOutputSlot::Connect</a></div><div class="ttdeci">virtual int Connect(IInputSlot &destination)=0</div></div> +<div class="ttc" id="classarmnn_1_1_subgraph_view_xhtml_ad6521013ad981519904822f2ada2c4ec"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#ad6521013ad981519904822f2ada2c4ec">armnn::SubgraphView::ForEachLayer</a></div><div class="ttdeci">void ForEachLayer(Func func) const</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8hpp_source.xhtml#l00027">SubgraphView.hpp:27</a></div></div> +<div class="ttc" id="classarmnn_1_1_subgraph_view_xhtml_a74798938fdaeae75c8adfa4a7439e7f9"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#a74798938fdaeae75c8adfa4a7439e7f9">armnn::SubgraphView::Layers</a></div><div class="ttdeci">std::list< Layer * > Layers</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8hpp_source.xhtml#l00040">SubgraphView.hpp:40</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a8c42c6647e31ebe525aeba878d133e45"><div class="ttname"><a href="namespacearmnn.xhtml#a8c42c6647e31ebe525aeba878d133e45">armnn::ParameterStringifyFunction</a></div><div class="ttdeci">std::function< void(const std::string &name, const std::string &value)> ParameterStringifyFunction</div><div class="ttdef"><b>Definition:</b> <a href="_serialize_layer_parameters_8hpp_source.xhtml#l00014">SerializeLayerParameters.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_graph_xhtml_a5a989a5f9aeb2935ba932b7f8312fe0c"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a5a989a5f9aeb2935ba932b7f8312fe0c">armnn::Graph::AllocateDynamicBuffers</a></div><div class="ttdeci">Status AllocateDynamicBuffers()</div><div class="ttdoc">Allocates memory for all tensors under output tensor handers of each layer. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00142">Graph.cpp:142</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00063">Layer.cpp:63</a></div></div> +<div class="ttc" id="classarmnn_1_1_graph_xhtml_ad1bbee7bf5f93b792675886f57d3ebe0"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#ad1bbee7bf5f93b792675886f57d3ebe0">armnn::Graph::AddCompatibilityLayers</a></div><div class="ttdeci">void AddCompatibilityLayers(std::map< BackendId, std::unique_ptr< class IBackendInternal >> &backends, TensorHandleFactoryRegistry &registry)</div><div class="ttdoc">Modifies the graph in-place, removing edges connecting layers using different compute devices...</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00263">Graph.cpp:263</a></div></div> +<div class="ttc" id="classarmnn_1_1_graph_xhtml_afd329ee7d721aa6cdaacb8391308e34f"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#afd329ee7d721aa6cdaacb8391308e34f">armnn::Graph::Print</a></div><div class="ttdeci">Status Print() const</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00061">Graph.cpp:61</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a9c95f90eb40e31f629e0e2947b8bc6f9"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9c95f90eb40e31f629e0e2947b8bc6f9">armnn::ITensorHandleFactory::LegacyFactoryId</a></div><div class="ttdeci">static const FactoryId LegacyFactoryId</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00022">ITensorHandleFactory.hpp:22</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_i_input_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_input_slot.xhtml">armnn::IInputSlot</a></div><div class="ttdoc">An input connection slot for a layer. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00024">INetwork.hpp:24</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="classarmnn_1_1_backend_id_xhtml"><div class="ttname"><a href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.xhtml#l00075">BackendId.hpp:75</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a8dc12f0ee5b232d397bd18ced1a72a64"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a8dc12f0ee5b232d397bd18ced1a72a64">armnn::Layer::GetGuid</a></div><div class="ttdeci">LayerGuid GetGuid() const final</div><div class="ttdoc">Returns the unique id of the layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00316">Layer.hpp:316</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="_graph_8cpp.xhtml">Graph.cpp</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> |