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diff --git a/20.02/_layer_8cpp_source.xhtml b/20.02/_layer_8cpp_source.xhtml new file mode 100644 index 0000000000..daa6173ef6 --- /dev/null +++ b/20.02/_layer_8cpp_source.xhtml @@ -0,0 +1,203 @@ +<!-- 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/Layer.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('_layer_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">Layer.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_layer_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> <span class="preprocessor">#include "<a class="code" href="_layer_8hpp.xhtml">Layer.hpp</a>"</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> </div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_graph_8hpp.xhtml">Graph.hpp</a>"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_profiling_service_8hpp.xhtml">ProfilingService.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_workload_data_8hpp.xhtml">backendsCommon/WorkloadData.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_cpu_tensor_handle_8hpp.xhtml">backendsCommon/CpuTensorHandle.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 <boost/cast.hpp></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <boost/format.hpp></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <numeric></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> {</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div><div class="line"><a name="l00020"></a><span class="lineno"><a class="line" href="classarmnn_1_1_input_slot.xhtml#a5a0a7224d93d14db044426a3878dab4d"> 20</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_input_slot.xhtml#a5a0a7224d93d14db044426a3878dab4d">InputSlot::Insert</a>(<a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& layer)</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> {</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  BOOST_ASSERT(layer.<a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>() == 1);</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> </div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>* <span class="keyword">const</span> prevSlot = <a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>();</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keywordflow">if</span> (prevSlot != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  {</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="comment">// Disconnects parent from this.</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  prevSlot->Disconnect(*<span class="keyword">this</span>);</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>  <span class="comment">// Connects inserted layer to parent.</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  BOOST_ASSERT(layer.<a class="code" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() == 1);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keywordtype">int</span> idx = prevSlot->Connect(layer.<a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0));</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  prevSlot->SetEdgeStrategy(boost::numeric_cast<unsigned int>(idx), <a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">EdgeStrategy::Undefined</a>);</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="comment">// Sets tensor info for inserted layer.</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& tensorInfo = prevSlot->GetTensorInfo();</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  layer.<a class="code" href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_handler.xhtml#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(tensorInfo);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  }</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="comment">// Connects inserted layer to this.</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  layer.<a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815">Connect</a>(*<span class="keyword">this</span>);</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  layer.<a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#a3f80ddd1f76ed4ad599e0d1a00659ee5">SetEdgeStrategy</a>(0, <a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">EdgeStrategy::Undefined</a>);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> }</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a048e8c1536cf6b8871b093a73a4a3a85"> 46</a></span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>* <a class="code" href="classarmnn_1_1_output_slot.xhtml#a048e8c1536cf6b8871b093a73a4a3a85">OutputSlot::GetConnection</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index)<span class="keyword"> const</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword"></span>{</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  ValidateConnectionIndex(index);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">return</span> m_Connections[index];</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> }</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a79b28a9ef1f9cf237f6f6697589cacb4"> 52</a></span> <a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>* <a class="code" href="classarmnn_1_1_output_slot.xhtml#a048e8c1536cf6b8871b093a73a4a3a85">OutputSlot::GetConnection</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index)</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> {</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  ValidateConnectionIndex(index);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">return</span> m_Connections[index];</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> }</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> </div><div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a7e5c5771d741dd5473989047a9314728"> 58</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#a7e5c5771d741dd5473989047a9314728">OutputSlot::SetTensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& tensorInfo)</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>  GetOutputHandler().SetTensorInfo(tensorInfo);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> }</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65"> 63</a></span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& <a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">OutputSlot::GetTensorInfo</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="keyword"></span>{</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">return</span> GetOutputHandler().GetTensorInfo();</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> }</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#ac51cbac15935434659c8504d6db54e28"> 68</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#ac51cbac15935434659c8504d6db54e28">OutputSlot::IsTensorInfoSet</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="keyword"></span>{</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">return</span> GetOutputHandler().IsTensorInfoSet();</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> }</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#ac5f74c7858eb0b7c1d676230016339c2"> 73</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#ac5f74c7858eb0b7c1d676230016339c2">OutputSlot::ValidateTensorShape</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& shape)<span class="keyword"> const</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="keyword"></span>{</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  BOOST_ASSERT_MSG(IsTensorInfoSet(), <span class="stringliteral">"TensorInfo must be set in order to validate the shape."</span>);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">return</span> shape == m_OutputHandler.GetTensorInfo().GetShape();</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> }</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815"> 79</a></span> <span class="keywordtype">int</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815">OutputSlot::Connect</a>(<a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>& destination)</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> {</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  destination.<a class="code" href="classarmnn_1_1_input_slot.xhtml#ae34c07e230a32ea853faed3fefc804f3">SetConnection</a>(<span class="keyword">this</span>);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  m_Connections.push_back(&destination);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  m_EdgeStrategies.push_back(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">EdgeStrategy::Undefined</a>);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a37fa39012e90d568df7f774cd6d1e956">boost::numeric_cast</a><<span class="keywordtype">int</span>>(m_Connections.size() - 1);</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"><a class="line" href="classarmnn_1_1_output_slot.xhtml#ac72a192dfcfa19e6ce826f99b415a11d"> 87</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#ac72a192dfcfa19e6ce826f99b415a11d">OutputSlot::Disconnect</a>(<a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>& slot)</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> {</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  slot.<a class="code" href="classarmnn_1_1_input_slot.xhtml#ae34c07e230a32ea853faed3fefc804f3">SetConnection</a>(<span class="keyword">nullptr</span>);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">auto</span> it = std::find(m_Connections.begin(), m_Connections.end(), &slot);</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>  <span class="keywordflow">if</span> (it == m_Connections.end())</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="keywordflow">return</span>;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  }</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keyword">auto</span> idx = std::distance(m_Connections.begin(), it);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  m_Connections.erase(std::remove(m_Connections.begin(), m_Connections.end(), &slot), m_Connections.end());</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  m_EdgeStrategies.erase(m_EdgeStrategies.begin() + idx);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> }</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div><div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a687ea562cfdf653499a0980537c04afb"> 103</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#a687ea562cfdf653499a0980537c04afb">OutputSlot::DisconnectAll</a>()</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> {</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">while</span> (GetNumConnections() > 0)</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>& connection = *<a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>(0);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  Disconnect(connection);</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> }</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div><div class="line"><a name="l00112"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a19d30f83e90f2612e6aec510715f790d"> 112</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#a19d30f83e90f2612e6aec510715f790d">OutputSlot::MoveAllConnections</a>(<a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& destination)</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> {</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">while</span> (GetNumConnections() > 0)</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>  BOOST_ASSERT_MSG(m_EdgeStrategies[0] == <a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">EdgeStrategy::Undefined</a>,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="stringliteral">"Cannot move connections once memory strategies have be established."</span>);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>& connection = *<a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>(0);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  Disconnect(connection);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  destination.<a class="code" href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815">Connect</a>(connection);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  }</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> </div><div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a27545b353e48a739981d345b64bb9dc9"> 125</a></span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#a27545b353e48a739981d345b64bb9dc9">OutputSlot::CalculateIndexOnOwner</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="keyword"></span>{</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < <a class="code" href="classarmnn_1_1_input_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>().<a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>(); i++)</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  {</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_input_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>().<a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(i) == (*this))</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>  <span class="keywordflow">return</span> i;</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>  BOOST_ASSERT_MSG(<span class="keyword">false</span>, <span class="stringliteral">"Did not find slot on owner."</span>);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordflow">return</span> 0; <span class="comment">// Error</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> }</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#ab074017b8b2359ed28af6f2de7c36cdc"> 138</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#ab074017b8b2359ed28af6f2de7c36cdc">OutputSlot::operator==</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& other)<span class="keyword"> const</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> <span class="keyword"></span>{</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keywordtype">bool</span> isSame = other.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a25b0119c02aece1d341b99953d169c0f">GetNumConnections</a>() == GetNumConnections();</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">if</span> (!isSame)</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  }</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < GetNumConnections(); i++)</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  {</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  isSame &= other.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a048e8c1536cf6b8871b093a73a4a3a85">GetConnection</a>(i) == <a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>(i);</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="keywordflow">return</span> isSame;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> }</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> <span class="keywordtype">void</span> OutputSlot::ValidateConnectionIndex(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index)<span class="keyword"> const</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> <span class="keyword"></span>{</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordflow">if</span> (boost::numeric_cast<std::size_t>(index) >= m_Connections.size())</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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  boost::str(boost::format(<span class="stringliteral">"GetConnection: Invalid index %1% provided"</span>) % index));</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  }</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"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a6bd5f82d7627668e46dee6a6c699480b"> 162</a></span> <a class="code" href="classarmnn_1_1profiling_1_1_profiling_guid.xhtml">LayerGuid</a> <a class="code" href="classarmnn_1_1_output_slot.xhtml#a6bd5f82d7627668e46dee6a6c699480b">OutputSlot::GetOwningLayerGuid</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> <span class="keyword"></span>{</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_input_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>().<a class="code" href="classarmnn_1_1_layer.xhtml#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>();</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> }</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div><div class="line"><a name="l00167"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#af29f6883785691ef946d0c32b6d2f338"> 167</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#af29f6883785691ef946d0c32b6d2f338">OutputSlot::SetTensorHandleFactory</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a>& <span class="keywordtype">id</span>)</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> {</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  m_TensorHandleFactoryId = id;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> }</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#af303cf872a3f95e29992e45224e4cf8e"> 172</a></span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> <a class="code" href="classarmnn_1_1_output_slot.xhtml#af303cf872a3f95e29992e45224e4cf8e">OutputSlot::GetTensorHandleFactoryId</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> <span class="keyword"></span>{</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordflow">return</span> m_TensorHandleFactoryId;</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> </div><div class="line"><a name="l00177"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a3f80ddd1f76ed4ad599e0d1a00659ee5"> 177</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#a3f80ddd1f76ed4ad599e0d1a00659ee5">OutputSlot::SetEdgeStrategy</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> connectionIndex, <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016">EdgeStrategy</a> strategy)</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> {</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  m_EdgeStrategies[connectionIndex] = strategy;</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> }</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> </div><div class="line"><a name="l00182"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a5b481a458c19fd3807b6e04b94b9b174"> 182</a></span> <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016">EdgeStrategy</a> <a class="code" href="classarmnn_1_1_output_slot.xhtml#a5b481a458c19fd3807b6e04b94b9b174">OutputSlot::GetEdgeStrategyForConnection</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> connectionIdx)<span class="keyword"> const</span></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> <span class="keyword"></span>{</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">return</span> m_EdgeStrategies[connectionIdx];</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"><a class="line" href="classarmnn_1_1_layer.xhtml#a395d070748c18d903705799360088e80"> 187</a></span> <a class="code" href="classarmnn_1_1_layer.xhtml#a5e5ae420d199a0bccae5139d38c30205">Layer::Layer</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputSlots,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputSlots,</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> layout,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> : m_OutputHandlers(numOutputSlots)</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> , m_LayerName(name ? name : <span class="stringliteral">""</span>)</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> , m_Type(type)</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> , m_BackendId()</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> , m_BackendHint(<a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>())</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> , m_Guid(profiling::<a class="code" href="classarmnn_1_1profiling_1_1_profiling_service.xhtml">ProfilingService</a>::Instance().NextGuid())</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> {</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(layout);</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  m_InputSlots.reserve(numInputSlots);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numInputSlots; ++i)</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  {</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  m_InputSlots.emplace_back(*<span class="keyword">this</span>, i);</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> </div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  m_OutputSlots.reserve(numOutputSlots);</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numOutputSlots; ++i)</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>  m_OutputSlots.emplace_back(*<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer.xhtml#aa44d91037bba52ba0dec6577509ade3b">m_OutputHandlers</a>[i]);</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  }</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> }</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div><div class="line"><a name="l00213"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a5e5ae420d199a0bccae5139d38c30205"> 213</a></span> <a class="code" href="classarmnn_1_1_layer.xhtml#a5e5ae420d199a0bccae5139d38c30205">Layer::Layer</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputSlots,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputSlots,</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type,</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> : <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>(numInputSlots, numOutputSlots, type, <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>, name)</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> {</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> }</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> <span class="keywordtype">void</span> Layer::CollectWorkloadInputs(<a class="code" href="classarmnn_1_1_workload_data_collector.xhtml">WorkloadDataCollector</a>& dataCollector)<span class="keyword"> const</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> <span class="keyword"></span>{</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& inputSlot : <a class="code" href="classarmnn_1_1_layer.xhtml#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a>())</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>  <span class="comment">// The graph must be well-formed at this point.</span></div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  BOOST_ASSERT(inputSlot.GetConnection());</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_output_handler.xhtml">OutputHandler</a>& outputHandler = inputSlot.GetConnectedOutputSlot()->GetOutputHandler();</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  dataCollector.<a class="code" href="classarmnn_1_1_workload_data_collector.xhtml#a0c85ad7fea8c31febbd5ae17ab3195f1">Push</a>(outputHandler.GetData(), outputHandler.GetTensorInfo());</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  }</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> }</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> </div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> <span class="keywordtype">void</span> Layer::CollectWorkloadOutputs(<a class="code" href="classarmnn_1_1_workload_data_collector.xhtml">WorkloadDataCollector</a>& dataCollector)<span class="keyword"> const</span></div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> <span class="keyword"></span>{</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& outputHandler : <a class="code" href="classarmnn_1_1_layer.xhtml#aa44d91037bba52ba0dec6577509ade3b">m_OutputHandlers</a>)</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>  outputHandler.CollectWorkloadOutputs(dataCollector);</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  }</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> }</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_layer.xhtml#a3ff62126ec713a2708e5fbaa6146a7de"> 240</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a3ff62126ec713a2708e5fbaa6146a7de">Layer::CreateTensorHandles</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a>& registry,</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> IsMemoryManaged)</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="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx=0; idx < <a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>(); idx++)</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  {</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> </div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& slot = <a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(idx);</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> factoryId = slot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#af303cf872a3f95e29992e45224e4cf8e">GetTensorHandleFactoryId</a>();</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> </div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <a class="code" href="classarmnn_1_1_output_handler.xhtml">OutputHandler</a>& handler = <a class="code" href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>(idx);</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">if</span> (factoryId == <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>)</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  {</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  handler.<a class="code" href="classarmnn_1_1_output_handler.xhtml#abdad6d5574323cbbca22ddd158e66759">CreateTensorHandles</a>(workloadFactory, IsMemoryManaged);</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  }</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keywordflow">else</span></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>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">ITensorHandleFactory</a>* handleFactory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(factoryId);</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  BOOST_ASSERT(handleFactory);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  handler.<a class="code" href="classarmnn_1_1_output_handler.xhtml#abdad6d5574323cbbca22ddd158e66759">CreateTensorHandles</a>(*handleFactory, IsMemoryManaged);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  }</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  }</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> }</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> </div><div class="line"><a name="l00264"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a339bef86bc340c3d1393ed83950fe8af"> 264</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a339bef86bc340c3d1393ed83950fe8af">Layer::ReleaseConstantData</a>()</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">// Now free up the static data.</span></div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#a386acff5f8430245239ce58d00ba7576">OperateOnConstantTensors</a>([](std::unique_ptr<ScopedCpuTensorHandle>& handle)</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  {</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  handle.reset(<span class="keyword">nullptr</span>);</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  });</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> }</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> </div><div class="line"><a name="l00273"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#aea909c7327109228ef618d459015def3"> 273</a></span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="classarmnn_1_1_layer.xhtml#aea909c7327109228ef618d459015def3">Layer::GetDataType</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> <span class="keyword"></span>{</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() > 0) <span class="comment">// Ignore the input layer.</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="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>()-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>();</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> <a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>();</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> }</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span> </div><div class="line"><a name="l00282"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#aac329cade047e952621b59a51a5d5f49"> 282</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#aac329cade047e952621b59a51a5d5f49">Layer::ResetPriority</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span> <span class="keyword"></span>{</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  m_Priority = 0;</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  m_Visiting = <span class="keyword">false</span>;</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> }</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span> </div><div class="line"><a name="l00288"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#af97a07195a67a638605b3c325763c2dd"> 288</a></span> <a class="code" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> <a class="code" href="classarmnn_1_1_layer.xhtml#af97a07195a67a638605b3c325763c2dd">Layer::GetPriority</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> <span class="keyword"></span>{</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  constexpr <a class="code" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> inputPrio = std::numeric_limits<LayerPriority>::lowest();</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  constexpr <a class="code" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> outputPrio = std::numeric_limits<LayerPriority>::max();</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="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>)</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  {</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  m_Priority = inputPrio;</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  }</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>)</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  {</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  m_Priority = outputPrio;</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  }</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (m_Priority == 0)</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  {</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordflow">if</span> (m_Visiting)</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  {</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_graph_validation_exception.xhtml">GraphValidationException</a>(<span class="stringliteral">"Graph has circular dependencies: cannot walk"</span>);</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  }</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span> </div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keyword">auto</span> maxPrio = [](<span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> prio, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>& slot) -> <a class="code" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a></div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  {</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a> *outputSlot = slot.GetConnectedOutputSlot();</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keywordflow">if</span> (outputSlot)</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  {</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& input = outputSlot-><a class="code" href="classarmnn_1_1_output_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordflow">return</span> std::max(prio, input.<a class="code" href="classarmnn_1_1_layer.xhtml#af97a07195a67a638605b3c325763c2dd">GetPriority</a>());</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  }</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  {</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="comment">// unconnected input slot</span></div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordflow">return</span> prio;</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>  };</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span> </div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  m_Visiting = <span class="keyword">true</span>;</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <a class="code" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> parentPrio = std::accumulate(<a class="code" href="classarmnn_1_1_layer.xhtml#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a>().cbegin(), <a class="code" href="classarmnn_1_1_layer.xhtml#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a>().cend(), 0U, maxPrio);</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  m_Visiting = <span class="keyword">false</span>;</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> </div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keywordflow">if</span> (parentPrio >= outputPrio)</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  {</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_graph_validation_exception.xhtml">GraphValidationException</a>(<span class="stringliteral">"Graph has too many edges"</span>);</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  }</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span> </div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  m_Priority = parentPrio + 1U;</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> </div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keywordflow">return</span> m_Priority;</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span> }</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span> </div><div class="line"><a name="l00338"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776"> 338</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">Layer::VerifyLayerConnections</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> expectedConnections, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_check_location.xhtml">CheckLocation</a>& location)<span class="keyword"> const</span></div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span> <span class="keyword"></span>{</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  BOOST_ASSERT(<a class="code" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() == expectedConnections);</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i<expectedConnections; ++i)</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">if</span> (<a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(i).GetConnection() == <span class="keyword">nullptr</span>)</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="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.xhtml">LayerValidationException</a>(</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  boost::str(</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  boost::format(</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="stringliteral">"Input connection #%1% must be connected "</span></div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="stringliteral">"for %2% layer %3% %4%"</span>)</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  % i</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  % <a class="code" href="namespacearmnn.xhtml#a9da573d7a1fc03726fd41f2130cbcf92">GetLayerTypeAsCString</a>(this-><a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>())</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  % <a class="code" href="classarmnn_1_1_layer.xhtml#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a>()</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  % location.<a class="code" href="structarmnn_1_1_check_location.xhtml#a5e3562cda960da001597e7dd5679b140">AsString</a>()));</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  }</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">if</span>(! <a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(i).GetConnection()->IsTensorInfoSet())</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  {</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.xhtml">LayerValidationException</a>(</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  boost::str(</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  boost::format(</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="stringliteral">"TensorInfo of Input connection #%1% must be set on connected OutputSlot for "</span></div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="stringliteral">"%2% layer %3% %4%"</span>)</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  % i</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  % <a class="code" href="namespacearmnn.xhtml#a9da573d7a1fc03726fd41f2130cbcf92">GetLayerTypeAsCString</a>(this-><a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>())</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  % <a class="code" href="classarmnn_1_1_layer.xhtml#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a>()</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  % location.<a class="code" href="structarmnn_1_1_check_location.xhtml#a5e3562cda960da001597e7dd5679b140">AsString</a>()));</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  }</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> }</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span> </div><div class="line"><a name="l00371"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a65ca562c882ad619684445a1402f415a"> 371</a></span> std::vector<TensorShape> <a class="code" href="classarmnn_1_1_layer.xhtml#a65ca562c882ad619684445a1402f415a">Layer::InferOutputShapes</a>(<span class="keyword">const</span> std::vector<TensorShape>& inputShapes)<span class="keyword"> const</span></div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> <span class="keyword"></span>{</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  BOOST_ASSERT(<a class="code" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() != 0);</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  BOOST_ASSERT(<a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>() != 0);</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>  <span class="comment">// By default we return what we got, meaning the output shape(s) are the same as the input(s).</span></div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="comment">// This only works if the number of inputs and outputs are the same. Since we are in the Layer</span></div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <span class="comment">// base class, this means the implementation needs to be overridden in the specific layers for</span></div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="comment">// the other cases. So the missing implementation justifies the UnimplementedException.</span></div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span> </div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() != <a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>())</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  {</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_unimplemented_exception.xhtml">UnimplementedException</a>(</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  boost::str(</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  boost::format(</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="stringliteral">"Default implementation for InferOutputShapes can only be used for "</span></div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="stringliteral">"layers with the same number of input and output slots. This doesn't "</span></div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="stringliteral">"hold for %1% layer %2% (#inputs=%3% #outputs=%4%) %5%"</span>)</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  % <a class="code" href="namespacearmnn.xhtml#a9da573d7a1fc03726fd41f2130cbcf92">GetLayerTypeAsCString</a>(this-><a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>())</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  % <a class="code" href="classarmnn_1_1_layer.xhtml#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a>()</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  % <a class="code" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>()</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  % <a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>()</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  % <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  }</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keywordflow">return</span> inputShapes;</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> }</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span> </div><div class="line"><a name="l00398"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#ac04cd8de9b9185756eb02463ffd432b1"> 398</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#ac04cd8de9b9185756eb02463ffd432b1">Layer::SerializeLayerParameters</a>(<a class="code" href="namespacearmnn.xhtml#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a>& fn)<span class="keyword"> const</span></div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span> <span class="keyword"></span>{</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  std::string layerType = <a class="code" href="namespacearmnn.xhtml#a9da573d7a1fc03726fd41f2130cbcf92">GetLayerTypeAsCString</a>(m_Type);</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  std::string backendId = std::string(m_BackendId);</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keywordflow">if</span>(!(m_LayerName.compare(<span class="stringliteral">""</span>) == 0) && !m_LayerName.empty())</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  {</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  fn(<span class="stringliteral">"LayerName"</span>,m_LayerName);</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="keywordflow">if</span>(!(layerType.compare(<span class="stringliteral">""</span>) == 0) && !layerType.empty())</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  {</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  fn(<span class="stringliteral">"LayerType"</span>,layerType);</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  }</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keywordflow">if</span>(!(backendId.compare(<span class="stringliteral">""</span>) == 0) && !backendId.empty())</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  {</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  fn(<span class="stringliteral">"BackendID"</span>,backendId);</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> } <span class="comment">// namespace armnn</span></div><div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a687ea562cfdf653499a0980537c04afb"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a687ea562cfdf653499a0980537c04afb">armnn::OutputSlot::DisconnectAll</a></div><div class="ttdeci">void DisconnectAll()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00103">Layer.cpp:103</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a339bef86bc340c3d1393ed83950fe8af"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a339bef86bc340c3d1393ed83950fe8af">armnn::Layer::ReleaseConstantData</a></div><div class="ttdeci">virtual void ReleaseConstantData()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00264">Layer.cpp:264</a></div></div> +<div class="ttc" id="_workload_data_8hpp_xhtml"><div class="ttname"><a href="_workload_data_8hpp.xhtml">WorkloadData.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_ac5f74c7858eb0b7c1d676230016339c2"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ac5f74c7858eb0b7c1d676230016339c2">armnn::OutputSlot::ValidateTensorShape</a></div><div class="ttdeci">bool ValidateTensorShape(const TensorShape &shape) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00073">Layer.cpp:73</a></div></div> +<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a5a0a7224d93d14db044426a3878dab4d"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a5a0a7224d93d14db044426a3878dab4d">armnn::InputSlot::Insert</a></div><div class="ttdeci">void Insert(Layer &layer)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00020">Layer.cpp:20</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_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00049">Types.hpp:49</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_abc0660dc440c8a285b456c9ef6383c26"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">armnn::Layer::GetNumInputSlots</a></div><div class="ttdeci">unsigned int GetNumInputSlots() const override</div><div class="ttdoc">Returns the number of connectable input slots. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00307">Layer.hpp:307</a></div></div> +<div class="ttc" id="structarmnn_1_1_check_location_xhtml_a5e3562cda960da001597e7dd5679b140"><div class="ttname"><a href="structarmnn_1_1_check_location.xhtml#a5e3562cda960da001597e7dd5679b140">armnn::CheckLocation::AsString</a></div><div class="ttdeci">std::string AsString() const</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00029">Exceptions.hpp:29</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a65ca562c882ad619684445a1402f415a">armnn::Layer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdoc">Infer the shape of the output(s) based on the provided input shape(s) </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00371">Layer.cpp:371</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a6bd5f82d7627668e46dee6a6c699480b"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a6bd5f82d7627668e46dee6a6c699480b">armnn::OutputSlot::GetOwningLayerGuid</a></div><div class="ttdeci">LayerGuid GetOwningLayerGuid() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00162">Layer.cpp:162</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.xhtml#l00021">WorkloadFactory.hpp:21</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a386acff5f8430245239ce58d00ba7576"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a386acff5f8430245239ce58d00ba7576">armnn::Layer::OperateOnConstantTensors</a></div><div class="ttdeci">void OperateOnConstantTensors(Op op)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00292">Layer.hpp:292</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a7ddaf04177053a536f0e7be83a642bc6"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">armnn::OutputSlot::GetOwningLayer</a></div><div class="ttdeci">Layer & GetOwningLayer() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00115">Layer.hpp:115</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_adcfb97035799ea4c043f9ef370714815"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815">armnn::OutputSlot::Connect</a></div><div class="ttdeci">int Connect(InputSlot &destination)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00079">Layer.cpp:79</a></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="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a419086ecb4dc9d0f9e5d8933c87e2ea2"><div class="ttname"><a href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">armnn::LayerPriority</a></div><div class="ttdeci">unsigned int LayerPriority</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00207">Layer.hpp:207</a></div></div> +<div class="ttc" id="classarmnn_1_1_unimplemented_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_unimplemented_exception.xhtml">armnn::UnimplementedException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00098">Exceptions.hpp:98</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a5b481a458c19fd3807b6e04b94b9b174"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a5b481a458c19fd3807b6e04b94b9b174">armnn::OutputSlot::GetEdgeStrategyForConnection</a></div><div class="ttdeci">EdgeStrategy GetEdgeStrategyForConnection(unsigned int connectionIdx) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00182">Layer.cpp:182</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_layer_xhtml_af5f530544d09a44d726f24702b67b35b"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af5f530544d09a44d726f24702b67b35b">armnn::Layer::GetInputSlots</a></div><div class="ttdeci">const std::vector< InputSlot > & GetInputSlots() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00231">Layer.hpp:231</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="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="classarmnn_1_1_layer_xhtml_a1594bddc87d6477df300317658f566bb"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">armnn::Layer::GetNumOutputSlots</a></div><div class="ttdeci">unsigned int GetNumOutputSlots() const override</div><div class="ttdoc">Returns the number of connectable output slots. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00308">Layer.hpp:308</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_ac72a192dfcfa19e6ce826f99b415a11d"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ac72a192dfcfa19e6ce826f99b415a11d">armnn::OutputSlot::Disconnect</a></div><div class="ttdeci">void Disconnect(InputSlot &slot)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00087">Layer.cpp:87</a></div></div> +<div class="ttc" id="classarmnn_1_1_workload_data_collector_xhtml"><div class="ttname"><a href="classarmnn_1_1_workload_data_collector.xhtml">armnn::WorkloadDataCollector</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_collector_8hpp_source.xhtml#l00015">WorkloadDataCollector.hpp:15</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_handler_xhtml_abdad6d5574323cbbca22ddd158e66759"><div class="ttname"><a href="classarmnn_1_1_output_handler.xhtml#abdad6d5574323cbbca22ddd158e66759">armnn::OutputHandler::CreateTensorHandles</a></div><div class="ttdeci">void CreateTensorHandles(const IWorkloadFactory &factory, const bool IsMemoryManaged=true)</div><div class="ttdoc">Creates tensor handles used by the intermediate tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_output_handler_8cpp_source.xhtml#l00023">OutputHandler.cpp:23</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00338">Layer.cpp:338</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a25b0119c02aece1d341b99953d169c0f"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a25b0119c02aece1d341b99953d169c0f">armnn::OutputSlot::GetNumConnections</a></div><div class="ttdeci">unsigned int GetNumConnections() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00138">Layer.hpp:138</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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00032">Types.hpp:32</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_aac329cade047e952621b59a51a5d5f49"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aac329cade047e952621b59a51a5d5f49">armnn::Layer::ResetPriority</a></div><div class="ttdeci">void ResetPriority() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00282">Layer.cpp:282</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="_graph_8hpp_xhtml"><div class="ttname"><a href="_graph_8hpp.xhtml">Graph.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00095">Tensor.hpp:95</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_workload_data_collector_xhtml_a0c85ad7fea8c31febbd5ae17ab3195f1"><div class="ttname"><a href="classarmnn_1_1_workload_data_collector.xhtml#a0c85ad7fea8c31febbd5ae17ab3195f1">armnn::WorkloadDataCollector::Push</a></div><div class="ttdeci">void Push(ITensorHandle *handle, const TensorInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_collector_8hpp_source.xhtml#l00024">WorkloadDataCollector.hpp:24</a></div></div> +<div class="ttc" id="structarmnn_1_1_check_location_xhtml"><div class="ttname"><a href="structarmnn_1_1_check_location.xhtml">armnn::CheckLocation</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00014">Exceptions.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a9a97cb6d32661a57fc33bd29b8e41ff4"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a9a97cb6d32661a57fc33bd29b8e41ff4">armnn::Layer::GetNameStr</a></div><div class="ttdeci">const std::string & GetNameStr() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00216">Layer.hpp:216</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_af97a07195a67a638605b3c325763c2dd"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af97a07195a67a638605b3c325763c2dd">armnn::Layer::GetPriority</a></div><div class="ttdeci">LayerPriority GetPriority() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00288">Layer.cpp:288</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml">armnn::OutputSlot</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00083">Layer.hpp:83</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a5e5ae420d199a0bccae5139d38c30205"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a5e5ae420d199a0bccae5139d38c30205">armnn::Layer::Layer</a></div><div class="ttdeci">Layer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00213">Layer.cpp:213</a></div></div> +<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a9effd325a6d512a3f8ff4bd207d53255"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">armnn::InputSlot::GetConnectedOutputSlot</a></div><div class="ttdeci">const OutputSlot * GetConnectedOutputSlot() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00055">Layer.hpp:55</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_handler_xhtml"><div class="ttname"><a href="classarmnn_1_1_output_handler.xhtml">armnn::OutputHandler</a></div><div class="ttdef"><b>Definition:</b> <a href="_output_handler_8hpp_source.xhtml#l00030">OutputHandler.hpp:30</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_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div> +<div class="ttc" id="classarmnn_1_1_graph_validation_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph_validation_exception.xhtml">armnn::GraphValidationException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00110">Exceptions.hpp:110</a></div></div> +<div class="ttc" id="_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00192">Exceptions.hpp:192</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_aa44d91037bba52ba0dec6577509ade3b"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aa44d91037bba52ba0dec6577509ade3b">armnn::Layer::m_OutputHandlers</a></div><div class="ttdeci">std::vector< OutputHandler > m_OutputHandlers</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00371">Layer.hpp:371</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_output_handler_xhtml_a97db12c41024f5545ef5cc4153e5443b"><div class="ttname"><a href="classarmnn_1_1_output_handler.xhtml#a97db12c41024f5545ef5cc4153e5443b">armnn::OutputHandler::SetTensorInfo</a></div><div class="ttdeci">void SetTensorInfo(const TensorInfo &tensorInfo)</div><div class="ttdoc">Sets the TensorInfo used by this output handler. </div><div class="ttdef"><b>Definition:</b> <a href="_output_handler_8cpp_source.xhtml#l00017">OutputHandler.cpp:17</a></div></div> +<div class="ttc" id="_cpu_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_cpu_tensor_handle_8hpp.xhtml">CpuTensorHandle.hpp</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="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_1profiling_1_1_profiling_service_xhtml"><div class="ttname"><a href="classarmnn_1_1profiling_1_1_profiling_service.xhtml">armnn::profiling::ProfilingService</a></div><div class="ttdef"><b>Definition:</b> <a href="_profiling_service_8hpp_source.xhtml#l00042">ProfilingService.hpp:42</a></div></div> +<div class="ttc" id="_layer_8hpp_xhtml"><div class="ttname"><a href="_layer_8hpp.xhtml">Layer.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_empty_optional_xhtml"><div class="ttname"><a href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a></div><div class="ttdoc">EmptyOptional is used to initialize the Optional class in case we want to have default value for an O...</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00032">Optional.hpp:32</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_ab074017b8b2359ed28af6f2de7c36cdc"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ab074017b8b2359ed28af6f2de7c36cdc">armnn::OutputSlot::operator==</a></div><div class="ttdeci">bool operator==(const OutputSlot &other) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00138">Layer.cpp:138</a></div></div> +<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_ae34c07e230a32ea853faed3fefc804f3"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#ae34c07e230a32ea853faed3fefc804f3">armnn::InputSlot::SetConnection</a></div><div class="ttdeci">void SetConnection(OutputSlot *source)</div><div class="ttdoc">Links the slot to an output slot or breaks an existing link if passing nullptr. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00059">Layer.hpp:59</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_af2c0edc7ea62a8baaec4d3d9b2b09256"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">armnn::Layer::GetOutputHandler</a></div><div class="ttdeci">const OutputHandler & GetOutputHandler(unsigned int i=0) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00221">Layer.hpp:221</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00018">ITensorHandleFactory.hpp:18</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_output_slot_xhtml_a7e5c5771d741dd5473989047a9314728"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a7e5c5771d741dd5473989047a9314728">armnn::OutputSlot::SetTensorInfo</a></div><div class="ttdeci">void SetTensorInfo(const TensorInfo &tensorInfo) override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00058">Layer.cpp:58</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a32f4aa6a7089d877af08928139c2c277"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">armnn::ITensorHandleFactory::FactoryId</a></div><div class="ttdeci">std::string FactoryId</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00021">ITensorHandleFactory.hpp:21</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_ac04cd8de9b9185756eb02463ffd432b1"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#ac04cd8de9b9185756eb02463ffd432b1">armnn::Layer::SerializeLayerParameters</a></div><div class="ttdeci">virtual void SerializeLayerParameters(ParameterStringifyFunction &fn) const</div><div class="ttdoc">Helper to serialize the layer parameters to string. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00398">Layer.cpp:398</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aea909c7327109228ef618d459015def3">armnn::Layer::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00273">Layer.cpp:273</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_aaef29472862381822654ab6cbf7cba2a"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00259">Layer.hpp:259</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00312">Layer.hpp:312</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">armnn::IOutputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo & GetTensorInfo() const =0</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_output_slot_xhtml_ac51cbac15935434659c8504d6db54e28"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ac51cbac15935434659c8504d6db54e28">armnn::OutputSlot::IsTensorInfoSet</a></div><div class="ttdeci">bool IsTensorInfoSet() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00068">Layer.cpp:68</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_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_layer_xhtml_a3ff62126ec713a2708e5fbaa6146a7de"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a3ff62126ec713a2708e5fbaa6146a7de">armnn::Layer::CreateTensorHandles</a></div><div class="ttdeci">virtual void CreateTensorHandles(const TensorHandleFactoryRegistry &registry, const IWorkloadFactory &factory, const bool IsMemoryManaged=true)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00240">Layer.cpp:240</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_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_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_output_slot_xhtml_a048e8c1536cf6b8871b093a73a4a3a85"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a048e8c1536cf6b8871b093a73a4a3a85">armnn::OutputSlot::GetConnection</a></div><div class="ttdeci">const InputSlot * GetConnection(unsigned int index) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00046">Layer.cpp:46</a></div></div> +<div class="ttc" id="_profiling_service_8hpp_xhtml"><div class="ttname"><a href="_profiling_service_8hpp.xhtml">ProfilingService.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8hpp_source.xhtml#l00014">InternalTypes.hpp:14</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 class="ttc" id="classarmnn_1_1_output_slot_xhtml_a27545b353e48a739981d345b64bb9dc9"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a27545b353e48a739981d345b64bb9dc9">armnn::OutputSlot::CalculateIndexOnOwner</a></div><div class="ttdeci">unsigned int CalculateIndexOnOwner() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00125">Layer.cpp:125</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="_layer_8cpp.xhtml">Layer.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> |