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<div class="contents">
<a href="_graph_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>  </div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include <<a class="code" href="_graph_8hpp.xhtml">Graph.hpp</a>></span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include <<a class="code" href="_layers_fwd_8hpp.xhtml">LayersFwd.hpp</a>></span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>  </div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_i_backend_internal_8hpp.xhtml">armnn/backends/IBackendInternal.hpp</a>></span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_subgraph_view_8hpp.xhtml">armnn/backends/SubgraphView.hpp</a>></span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>  </div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_backend_id_8hpp.xhtml">armnn/BackendId.hpp</a>></span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="_logging_8hpp.xhtml">armnn/Logging.hpp</a>></span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <<a class="code" href="_types_utils_8hpp.xhtml">armnn/TypesUtils.hpp</a>></span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <<a class="code" href="_assert_8hpp.xhtml">armnn/utility/Assert.hpp</a>></span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <<a class="code" href="_numeric_cast_8hpp.xhtml">armnn/utility/NumericCast.hpp</a>></span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  </div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include <fmt/format.h></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"> 20</span> <span class="preprocessor">#include <unordered_map></span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include <<a class="code" href="_dot_serializer_8hpp.xhtml">DotSerializer.hpp</a>></span></div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#include <sstream></span></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> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</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>  </div>
<div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="classarmnn_1_1_graph.xhtml#a39f90416cf9263d44db1c0a7deeb1b64"> 27</a></span> <a class="code" href="classarmnn_1_1_graph.xhtml#aa5cc5821862aa5cecac2b54974c2b3d8">Graph::Graph</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& other)</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> : m_LayersInOrder(other.m_LayersInOrder)</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> , m_AllowExpandedDims(other.m_AllowExpandedDims)</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> , m_ShapeInferenceMethod(other.m_ShapeInferenceMethod)</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> , m_Profiler(other.m_Profiler)</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> {</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  std::unordered_map<const Layer*, Layer*> otherToClonedMap;</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  </div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& otherLayer : other.m_Layers)</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  {</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* <span class="keyword">const</span> layer = otherLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#ae89ff455503aa106d00bf34103d2f2e0">Clone</a>(*<span class="keyword">this</span>);</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  otherToClonedMap.emplace(otherLayer, layer);</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">// Copies slot connections.</span></div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& otherLayer : other.m_Layers)</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  {</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* <span class="keyword">const</span> thisLayer = otherToClonedMap[otherLayer];</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  </div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">auto</span> outputSlot = thisLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#a817d4be6dd88f532d36f51748ec14185">BeginOutputSlots</a>();</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& otherOutputSlot : otherLayer->GetOutputSlots())</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  {</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& otherInputSlot : otherOutputSlot.GetConnections())</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>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& otherTgtLayer = otherInputSlot->GetOwningLayer();</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* <span class="keyword">const</span> thisTgtLayer = otherToClonedMap[&otherTgtLayer];</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  </div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>& inputSlot = thisTgtLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(otherInputSlot->GetSlotIndex());</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  outputSlot->Connect(inputSlot);</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>  outputSlot->SetTensorInfo(otherOutputSlot.GetTensorInfo());</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  ++outputSlot;</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  }</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  }</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 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_graph.xhtml#afd329ee7d721aa6cdaacb8391308e34f"> 63</a></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="classarmnn_1_1_graph.xhtml#afd329ee7d721aa6cdaacb8391308e34f">Graph::Print</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="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">if</span> (m_Layers.empty())</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>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) << <span class="stringliteral">"\n Graph is empty.\n"</span>;</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">Status::Success</a>;</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  }</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) << <span class="stringliteral">"\n"</span>;</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) << <span class="stringliteral">"Walking Pattern: \n"</span>;</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  </div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& it : <a class="code" href="classarmnn_1_1_graph.xhtml#af497e16cf92179b5e55543741351b8bf">TopologicalSort</a>())</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  {</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keyword">auto</span> numInputSlots = it->GetNumInputSlots();</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keyword">auto</span> numOutputSlots = it->GetNumOutputSlots();</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>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) << it->GetName() << <span class="stringliteral">":"</span> << <a class="code" href="namespacearmnn.xhtml#addb6b14dd1b632263ffe77430259a7c4">GetLayerTypeAsCString</a>(it->GetType())</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  << <span class="stringliteral">":"</span> << it->GetBackendId().Get()</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  << <span class="stringliteral">" has "</span> << numInputSlots << <span class="stringliteral">" input slots"</span></div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  << <span class="stringliteral">" and "</span> << numOutputSlots << <span class="stringliteral">" output slots."</span>;</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  </div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> i : it->GetInputSlots())</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  {</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  std::ostringstream message;</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keyword">auto</span> inputTensorShape = i.GetConnectedOutputSlot()->GetTensorInfo().GetShape();</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDims = inputTensorShape.GetNumDimensions();</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>  message << <span class="stringliteral">"The input slot has shape [ "</span>;</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dim=0; dim < numDims; dim++)</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>  message << inputTensorShape[dim] << <span class="stringliteral">","</span>;</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  }</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  message << <span class="stringliteral">" ]"</span>;</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) << message.str();</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>  </div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < it->GetNumOutputSlots(); i++)</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  {</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a> *layer = it;</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  std::ostringstream message;</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keyword">auto</span> outputTensorShape = layer-><a class="code" href="classarmnn_1_1_layer.xhtml#a98cdff4e0b45f4c80bfcedaf926e16e0">GetOutputSlots</a>()[i].GetTensorInfo().GetShape();</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDims = outputTensorShape.GetNumDimensions();</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>  message << <span class="stringliteral">"The output slot has shape [ "</span>;</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dim=0; dim < numDims; dim++)</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  {</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  message << outputTensorShape[dim] << <span class="stringliteral">","</span>;</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>  message << <span class="stringliteral">" ]"</span>;</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) << message.str();</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  }</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) << <span class="stringliteral">"\n"</span>;</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  }</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) << <span class="stringliteral">"\n\n"</span>;</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  </div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">Status::Success</a>;</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>  </div>
<div class="line"><a name="l00120"></a><span class="lineno"><a class="line" href="classarmnn_1_1_graph.xhtml#a131873e7a706fc7ca0637027236916e9"> 120</a></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="classarmnn_1_1_graph.xhtml#a131873e7a706fc7ca0637027236916e9">Graph::SerializeToDot</a>(std::ostream& stream)</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span> {</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>  <a class="code" href="classarmnn_1_1_dot_graph.xhtml">DotGraph</a> graph(stream, <span class="stringliteral">"Optimized"</span>);</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  </div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  {</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="comment">// Default node attributes:</span></div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="classarmnn_1_1_dot_defaults.xhtml">DotDefaults</a> nodes(stream, <span class="stringliteral">"node"</span>);</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  nodes.<a class="code" href="classarmnn_1_1_dot_defaults.xhtml#a721c9bf7f2e6a2d88d340253ccc19815">GetAttributeSet</a>()</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  .<a class="code" href="classarmnn_1_1_dot_attribute_set.xhtml#af7b33bce35fe3d2009f2090d950c0160">AddAttribute</a>(<span class="stringliteral">"shape"</span>, <span class="stringliteral">"record"</span>);</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  }</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  </div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  {</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="comment">// Default edge attributes:</span></div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="classarmnn_1_1_dot_defaults.xhtml">DotDefaults</a> edges(stream, <span class="stringliteral">"edge"</span>);</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  edges.<a class="code" href="classarmnn_1_1_dot_defaults.xhtml#a721c9bf7f2e6a2d88d340253ccc19815">GetAttributeSet</a>()</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  .<a class="code" href="classarmnn_1_1_dot_attribute_set.xhtml#af7b33bce35fe3d2009f2090d950c0160">AddAttribute</a>(<span class="stringliteral">"fontsize"</span>, 8)</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  .<a class="code" href="classarmnn_1_1_dot_attribute_set.xhtml#af7b33bce35fe3d2009f2090d950c0160">AddAttribute</a>(<span class="stringliteral">"fontcolor"</span>, <span class="stringliteral">"blue"</span>)</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  .<a class="code" href="classarmnn_1_1_dot_attribute_set.xhtml#af7b33bce35fe3d2009f2090d950c0160">AddAttribute</a>(<span class="stringliteral">"fontname"</span>, <span class="stringliteral">"arial-bold"</span>);</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  }</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  </div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="comment">// First declares the nodes.</span></div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& layer : m_Layers)</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  {</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="classarmnn_1_1_dot_node.xhtml">DotNode</a> node(stream, layer->GetGuid(), <a class="code" href="namespacearmnn.xhtml#addb6b14dd1b632263ffe77430259a7c4">GetLayerTypeAsCString</a>(layer->GetType()));</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="comment">// Extracts the layer parameters.</span></div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <a class="code" href="namespacearmnn.xhtml#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a> extractParams = [&node](<span class="keyword">const</span> std::string & name, <span class="keyword">const</span> std::string & value){</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  node.<a class="code" href="classarmnn_1_1_dot_node.xhtml#a1734bc659f144a8465e22d4b53b8f580">GetContents</a>().<a class="code" href="classarmnn_1_1_node_content.xhtml#a1beba3dee2a8ebc37e76245302e42eeb">AddContent</a>(name + <span class="stringliteral">" : "</span> + value);</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  };</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  layer->SerializeLayerParameters(extractParams);</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  }</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  </div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="comment">// Second declares the edges.</span></div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& layer : m_Layers)</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  {</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="_types_8hpp.xhtml#af22094b802160f09f7c89ad9eee10084">LayerGuid</a> toId = layer->GetGuid();</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">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0;i<layer->GetNumInputSlots(); i++)</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  {</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>* outputSlot = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>*<span class="keyword">></span>(layer->GetInputSlot(i).GetConnection());</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <a class="code" href="_types_8hpp.xhtml#af22094b802160f09f7c89ad9eee10084">LayerGuid</a> fromId = outputSlot-><a class="code" href="classarmnn_1_1_output_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>().<a class="code" href="classarmnn_1_1_layer.xhtml#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>();</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <a class="code" href="classarmnn_1_1_dot_edge.xhtml">DotEdge</a> edge(stream, fromId, toId);</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  </div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="comment">// Now print the tensor shape on the edge.</span></div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  {</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="comment">// Constructs the label attribute with HTML markup.</span></div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  std::stringstream ss;</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  ss << <span class="stringliteral">"< "</span> << outputSlot-><a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() << <span class="stringliteral">" >"</span>;</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  edge.<a class="code" href="classarmnn_1_1_dot_edge.xhtml#a721c9bf7f2e6a2d88d340253ccc19815">GetAttributeSet</a>().<a class="code" href="classarmnn_1_1_dot_attribute_set.xhtml#af7b33bce35fe3d2009f2090d950c0160">AddAttribute</a>(<span class="stringliteral">"label"</span>, ss);</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  }</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"> 172</span>  }</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  </div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordflow">if</span> (stream.bad())</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>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">Status::Failure</a>;</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  }</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">Status::Success</a>;</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span> }</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  </div>
<div class="line"><a name="l00181"></a><span class="lineno"><a class="line" href="classarmnn_1_1_graph.xhtml#a5a989a5f9aeb2935ba932b7f8312fe0c"> 181</a></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="classarmnn_1_1_graph.xhtml#a5a989a5f9aeb2935ba932b7f8312fe0c">Graph::AllocateDynamicBuffers</a>()</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span> {</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="comment">// Layers must be sorted in topological order</span></div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(m_LayersInOrder);</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <a class="code" href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"LoadNetwork_AllocateDynamicBuffers"</span>);</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  </div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  std::unordered_set<const ITensorHandle*> preallocatedTensors;</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  std::unordered_map<const ITensorHandle*, unsigned int> handleReferenceCounts;</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  </div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="comment">// Finds the first TensorHandle ancestor of a SubTensorHandle. If the ITensorHandle provided</span></div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="comment">// is a TensorHandle, the function just returns it</span></div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keyword">auto</span> TraceSubTensorHandleAncestry = [](<a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* <span class="keyword">const</span> subTensorHandle)</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  {</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* ancestor = subTensorHandle;</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">while</span> (ancestor && ancestor-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a437893b8dcf58a0b68b70e1ad7933be6">GetParent</a>())</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  {</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  ancestor = ancestor-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a437893b8dcf58a0b68b70e1ad7933be6">GetParent</a>();</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  }</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordflow">return</span> ancestor;</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  };</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  </div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="comment">// Checks whether a TensorHandle has been pre-allocated</span></div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keyword">auto</span> IsPreallocated = [&](<a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* <span class="keyword">const</span> tensorHandle)</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  {</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordflow">return</span> tensorHandle && preallocatedTensors.find(tensorHandle) != preallocatedTensors.end();</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  };</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  </div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="comment">// Constant tensor handles need to last from the beginning of execution till the end,</span></div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="comment">// therefore we pre-allocate them upfront</span></div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& layer : m_Layers)</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>  <span class="keywordflow">if</span> (layer->GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a>)</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  {</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& slot = layer->BeginOutputSlots(); slot != layer->EndOutputSlots(); ++slot)</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  {</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> *tensorHandle = TraceSubTensorHandleAncestry(slot->GetOutputHandler().GetData());</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  </div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordflow">if</span> (tensorHandle && !IsPreallocated(tensorHandle))</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>  tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a5cceed8b707a09bf27eb61f17acf8a88">Allocate</a>();</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  preallocatedTensors.insert(tensorHandle);</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  }</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  }</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>  }</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  </div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="comment">// Iterate over the network in topological order</span></div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& layer : m_Layers)</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  {</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="comment">// Count the amount of times each output slot references a certain buffer (ITensorHandle).</span></div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="comment">// The first time we encounter a new tensor handle, we start managing its lifetime.</span></div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& slot = layer->BeginOutputSlots(); slot != layer->EndOutputSlots(); ++slot)</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  {</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> *tensorHandle = TraceSubTensorHandleAncestry(slot->GetOutputHandler().GetData());</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  </div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordflow">if</span> (tensorHandle && !IsPreallocated(tensorHandle))</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  {</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numConnections = slot->GetNumConnections();</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">if</span> (handleReferenceCounts.find(tensorHandle) == handleReferenceCounts.end())</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  {</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  handleReferenceCounts[tensorHandle] = numConnections;</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a04149d0f9b9c54c05e95693111490daf">Manage</a>();</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keywordflow">if</span> (handleReferenceCounts[tensorHandle] == 0u)</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  {</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="comment">// if nobody consumes this tensor we call Allocate()</span></div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a5cceed8b707a09bf27eb61f17acf8a88">Allocate</a>();</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  }</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  }</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  {</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  handleReferenceCounts[tensorHandle] += numConnections;</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>  }</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>  </div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="comment">// Loop through the input slots in the same layer and decrement the reference counter associated</span></div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="comment">// to each tensor handle we encounter. Once it reaches zero, we end the lifetime of the tensor handle</span></div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& slot = layer->BeginInputSlots(); slot != layer->EndInputSlots(); ++slot)</div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  {</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> *tensorHandle = TraceSubTensorHandleAncestry(</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  slot->GetConnectedOutputSlot()->GetOutputHandler().GetData());</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>  <span class="keywordflow">if</span> (tensorHandle && !IsPreallocated(tensorHandle))</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  {</div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  --handleReferenceCounts[tensorHandle];</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  </div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">if</span> (handleReferenceCounts[tensorHandle] == 0u)</div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  {</div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="comment">// Stop managing lifetime of tensor handle</span></div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a5cceed8b707a09bf27eb61f17acf8a88">Allocate</a>();</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  handleReferenceCounts.erase(tensorHandle);</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  }</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  }</div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  }</div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  }</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="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">Status::Success</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>  </div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& <a class="code" href="classarmnn_1_1_graph.xhtml#af497e16cf92179b5e55543741351b8bf">Graph::TopologicalSort</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keywordflow">if</span> (!m_LayersInOrder)</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  {</div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="comment">// Resets layer order.</span></div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& it : m_Layers)</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>  it->ResetPriority();</div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  }</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  </div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keyword">auto</span> compareLayerPriority = [](<span class="keyword">const</span> LayerList::value_type& layerA, <span class="keyword">const</span> LayerList::value_type& layerB)</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  {</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keywordflow">return</span> layerA->GetPriority() < layerB->GetPriority();</div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  };</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_Layers.sort(compareLayerPriority);</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>  m_LayersInOrder = <span class="keyword">true</span>;</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>  </div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span> }</div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  </div>
<div class="line"><a name="l00303"></a><span class="lineno"><a class="line" href="classarmnn_1_1_graph.xhtml#ad1bbee7bf5f93b792675886f57d3ebe0"> 303</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_graph.xhtml#ad1bbee7bf5f93b792675886f57d3ebe0">Graph::AddCompatibilityLayers</a>(std::map<<a class="code" href="classarmnn_1_1_backend_id.xhtml">BackendId</a>, std::unique_ptr<IBackendInternal>>& backends,</div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a>& registry)</div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span> {</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="comment">// Returns true if the given layer could potentially need an intermediate copy/import layer (depending on its</span></div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="comment">// connections to other layers).</span></div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keyword">auto</span> MayNeedCompatibilityLayer = [](<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& layer)</div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  {</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="comment">// All layers should have been associated with a valid compute device at this point.</span></div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(layer.GetBackendId() != <a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>);</div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="comment">// Does not need another compatibility layer if a copy or import layer is already present.</span></div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordflow">return</span> layer.GetType() != <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">LayerType::MemCopy</a> &&</div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  layer.GetType() != <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">LayerType::MemImport</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>  </div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keyword">auto</span> IsCompatibilityStrategy = [](<a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016">EdgeStrategy</a> strategy)</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  {</div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordflow">return</span> strategy == <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016ac366da48cc11956ae377a77751936852">EdgeStrategy::CopyToTarget</a> ||</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  strategy == <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016a46e8b7bfd6fd3c0cb34a100478a39189">EdgeStrategy::ExportToTarget</a>;</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>  <a class="code" href="classarmnn_1_1_graph.xhtml#ad6521013ad981519904822f2ada2c4ec">ForEachLayer</a>([<span class="keyword">this</span>, &backends, &registry, MayNeedCompatibilityLayer, IsCompatibilityStrategy](<a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* srcLayer)</div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  {</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(srcLayer);</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> (!MayNeedCompatibilityLayer(*srcLayer))</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="comment">// The current layer does not need copy layers, move to the next one</span></div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keywordflow">return</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>  </div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keyword">const</span> std::vector<OutputSlot>& srcOutputSlots = srcLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#a98cdff4e0b45f4c80bfcedaf926e16e0">GetOutputSlots</a>();</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> srcOutputIndex = 0; srcOutputIndex < srcOutputSlots.size(); srcOutputIndex++)</div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  {</div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& srcOutputSlot = srcLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(srcOutputIndex);</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keyword">const</span> std::vector<InputSlot*> srcConnections = srcOutputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a50b562d4a4edc64d7d8abcca056f0b8c">GetConnections</a>();</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keyword">const</span> std::vector<EdgeStrategy> srcEdgeStrategies = srcOutputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a29ce2fa137002ecdafe9ad28e441a36d">GetEdgeStrategies</a>();</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> srcConnectionIndex = 0; srcConnectionIndex < srcConnections.size(); srcConnectionIndex++)</div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  {</div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>* dstInputSlot = srcConnections[srcConnectionIndex];</div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(dstInputSlot);</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>  <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016">EdgeStrategy</a> strategy = srcEdgeStrategies[srcConnectionIndex];</div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(strategy != <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016aec0fc0100c4fc1ce4eea230c3dc10360">EdgeStrategy::Undefined</a>,</div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="stringliteral">"Undefined memory strategy found while adding copy layers for compatibility"</span>);</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  </div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& dstLayer = dstInputSlot-><a class="code" href="classarmnn_1_1_input_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keywordflow">if</span> (MayNeedCompatibilityLayer(dstLayer) &&</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  IsCompatibilityStrategy(strategy))</div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  {</div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="comment">// A copy layer is needed in between the source and destination layers.</span></div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="comment">// Record the operation rather than attempting to modify the graph as we go.</span></div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="comment">// (invalidating iterators)</span></div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keyword">const</span> std::string compLayerName = fmt::format(<span class="stringliteral">"[ {} ({}) -> {} ({}) ]"</span>,</div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  srcLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>(),</div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  srcOutputIndex,</div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  dstLayer.<a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>(),</div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  dstInputSlot-><a class="code" href="classarmnn_1_1_input_slot.xhtml#ae3f69b193433448bee0f3925da4b01a3">GetSlotIndex</a>());</div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* compLayer = <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keywordflow">if</span> (strategy == <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016ac366da48cc11956ae377a77751936852">EdgeStrategy::CopyToTarget</a>)</div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  {</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  compLayer = InsertNewLayer<MemCopyLayer>(*dstInputSlot, compLayerName.c_str());</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  }</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  {</div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(strategy == <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016a46e8b7bfd6fd3c0cb34a100478a39189">EdgeStrategy::ExportToTarget</a>, <span class="stringliteral">"Invalid edge strategy found."</span>);</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  compLayer = InsertNewLayer<MemImportLayer>(*dstInputSlot, compLayerName.c_str());</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"> 371</span>  compLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#a316670cb6b65902e017c32ca4bcb4b98">SetBackendId</a>(dstLayer.<a class="code" href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>());</div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  </div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& compOutputSlot = compLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0);</div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keyword">auto</span> backendIt = backends.find(dstLayer.<a class="code" href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>());</div>
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <span class="keywordflow">if</span> (backendIt != backends.end() &&</div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  backendIt->second &&</div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  backendIt->second->SupportsTensorAllocatorAPI())</div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  {</div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="keyword">auto</span> backend = backendIt->second.get();</div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keyword">auto</span> tensorHandleFactoryIds = backend->GetHandleFactoryPreferences();</div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="keywordtype">bool</span> found = <span class="keyword">false</span>;</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">for</span> (<span class="keyword">auto</span> preference : tensorHandleFactoryIds)</div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  {</div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="keyword">auto</span> factory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(preference);</div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="keywordflow">if</span> (factory)</div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  {</div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keyword">auto</span> srcPref = srcOutputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#af303cf872a3f95e29992e45224e4cf8e">GetTensorHandleFactoryId</a>();</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <span class="keyword">auto</span> srcFactory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(srcPref);</div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  </div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keywordflow">if</span> (srcFactory)</div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  {</div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keywordtype">bool</span> canExportImport =</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  (factory->GetImportFlags() & srcFactory->GetExportFlags()) != 0;</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  </div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keywordflow">if</span> (factory->SupportsMapUnmap() || canExportImport)</div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  {</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  compOutputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#af29f6883785691ef946d0c32b6d2f338">SetTensorHandleFactory</a>(preference);</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  found = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  }</div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  }</div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  }</div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  }</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> (!found)</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>  compOutputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#af29f6883785691ef946d0c32b6d2f338">SetTensorHandleFactory</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>);</div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  }</div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  }</div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  {</div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  compOutputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#af29f6883785691ef946d0c32b6d2f338">SetTensorHandleFactory</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>);</div>
<div class="line"><a name="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">// The output strategy of a compatibility layer is always DirectCompatibility.</span></div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  compOutputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a3f80ddd1f76ed4ad599e0d1a00659ee5">SetEdgeStrategy</a>(0, <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016a78d1be0baa31e083ae8da99aaedaf650">EdgeStrategy::DirectCompatibility</a>);</div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  </div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="comment">// Recalculate the connection index on the previous layer as we have just inserted into it.</span></div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keyword">const</span> std::vector<InputSlot*>& newSourceConnections = srcOutputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a50b562d4a4edc64d7d8abcca056f0b8c">GetConnections</a>();</div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="keyword">auto</span> newSrcConnectionIndex = std::distance(newSourceConnections.begin(),</div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  std::find(newSourceConnections.begin(),</div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  newSourceConnections.end(),</div>
<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  &compLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0)));</div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  </div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="comment">// The input strategy of a compatibility layer is always DirectCompatibilty.</span></div>
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  srcOutputSlot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a3f80ddd1f76ed4ad599e0d1a00659ee5">SetEdgeStrategy</a>(armnn::numeric_cast<unsigned int>(newSrcConnectionIndex),</div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016a78d1be0baa31e083ae8da99aaedaf650">EdgeStrategy::DirectCompatibility</a>);</div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  }</div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  }</div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  }</div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  });</div>
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span> }</div>
<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  </div>
<div class="line"><a name="l00435"></a><span class="lineno"><a class="line" href="classarmnn_1_1_graph.xhtml#aafbd4b469e47160017f409df8d077184"> 435</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_graph.xhtml#aafbd4b469e47160017f409df8d077184">Graph::SubstituteSubgraph</a>(<a class="code" href="classarmnn_1_1_subgraph_view.xhtml">SubgraphView</a>& subgraph, <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* substituteLayer)</div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span> {</div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(substituteLayer != <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  </div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="comment">// Create a new sub-graph with only the given layer, using</span></div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="comment">// the given sub-graph as a reference of which parent graph to use</span></div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <a class="code" href="classarmnn_1_1_subgraph_view.xhtml">SubgraphView</a> substituteSubgraph(substituteLayer);</div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  </div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <a class="code" href="classarmnn_1_1_graph.xhtml#aafbd4b469e47160017f409df8d077184">SubstituteSubgraph</a>(subgraph, substituteSubgraph);</div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span> }</div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  </div>
<div class="line"><a name="l00446"></a><span class="lineno"><a class="line" href="classarmnn_1_1_graph.xhtml#a4443d9ad865522c39d06556a9dbbeb58"> 446</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_graph.xhtml#aafbd4b469e47160017f409df8d077184">Graph::SubstituteSubgraph</a>(<a class="code" href="classarmnn_1_1_subgraph_view.xhtml">SubgraphView</a>& subgraph, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_subgraph_view.xhtml">SubgraphView</a>& substituteSubgraph)</div>
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span> {</div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="comment">// Look through each layer in the new subgraph and add any that are not already a member of this graph</span></div>
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  substituteSubgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a89db17358856d60f03966a0e2e8cb25c">ForEachIConnectableLayer</a>([<span class="keyword">this</span>](<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* iConnectableLayer)</div>
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  {</div>
<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keywordflow">if</span> (std::find(std::begin(m_Layers),</div>
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  std::end(m_Layers),</div>
<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  iConnectableLayer) == std::end(m_Layers))</div>
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  {</div>
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="keyword">auto</span> layer = PolymorphicDowncast<Layer*>(iConnectableLayer);</div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  layer->Reparent(*<span class="keyword">this</span>, m_Layers.end());</div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  m_LayersInOrder = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  }</div>
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  });</div>
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  </div>
<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  ReplaceSubgraphConnections(subgraph, substituteSubgraph);</div>
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  EraseSubgraphLayers(subgraph);</div>
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <a class="code" href="classarmnn_1_1_graph.xhtml#af497e16cf92179b5e55543741351b8bf">TopologicalSort</a>();</div>
<div class="line"><a name="l00464"></a><span class="lineno"> 464</span> }</div>
<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  </div>
<div class="line"><a name="l00466"></a><span class="lineno"> 466</span> <span class="keywordtype">void</span> Graph::ReplaceSubgraphConnections(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_subgraph_view.xhtml">SubgraphView</a>& subgraph, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_subgraph_view.xhtml">SubgraphView</a>& substituteSubgraph)</div>
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span> {</div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(!substituteSubgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a8055e06b4f21d51fd8b4fc22ead2bdf0">GetIConnectableLayers</a>().empty(),</div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="stringliteral">"New sub-graph used for substitution must not be empty"</span>);</div>
<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  </div>
<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_subgraph_view.xhtml#ad7c7687cd3542e5cbb45e56f9a9456e7">SubgraphView::IConnectableLayers</a>& substituteSubgraphLayers = substituteSubgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a8055e06b4f21d51fd8b4fc22ead2bdf0">GetIConnectableLayers</a>();</div>
<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  std::for_each(substituteSubgraphLayers.begin(), substituteSubgraphLayers.end(), [&](<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* layer)</div>
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  {</div>
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  IgnoreUnused(layer);</div>
<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  layer = PolymorphicDowncast<Layer*>(layer);</div>
<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  ARMNN_ASSERT_MSG(std::find(m_Layers.begin(), m_Layers.end(), layer) != m_Layers.end(),</div>
<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="stringliteral">"Substitute layer is not a member of graph"</span>);</div>
<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  });</div>
<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  </div>
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a4ad949634fd697549da161eb09d8b7fd">SubgraphView::IInputSlots</a>& subgraphInputSlots = subgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#ada17adb05f8061fffa3e193544795fd5">GetIInputSlots</a>();</div>
<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a3f717693851810942d3ae0180a97fb4c">SubgraphView::IOutputSlots</a>& subgraphOutputSlots = subgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#adc4e3f28ec3906680f1a25a7b1a3e8f9">GetIOutputSlots</a>();</div>
<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  </div>
<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> subgraphNumInputSlots = armnn::numeric_cast<unsigned int>(subgraphInputSlots.size());</div>
<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> subgraphNumOutputSlots = armnn::numeric_cast<unsigned int>(subgraphOutputSlots.size());</div>
<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  </div>
<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a4ad949634fd697549da161eb09d8b7fd">SubgraphView::IInputSlots</a>& substituteSubgraphInputSlots = substituteSubgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#ada17adb05f8061fffa3e193544795fd5">GetIInputSlots</a>();</div>
<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_subgraph_view.xhtml#a3f717693851810942d3ae0180a97fb4c">SubgraphView::IOutputSlots</a>& substituteSubgraphOutputSlots = substituteSubgraph.<a class="code" href="classarmnn_1_1_subgraph_view.xhtml#adc4e3f28ec3906680f1a25a7b1a3e8f9">GetIOutputSlots</a>();</div>
<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  </div>
<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(subgraphNumInputSlots == substituteSubgraphInputSlots.size());</div>
<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(subgraphNumOutputSlots == substituteSubgraphOutputSlots.size());</div>
<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  </div>
<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="comment">// Disconnect the sub-graph and replace it with the substitute sub-graph</span></div>
<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  </div>
<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="comment">// Step 1: process input slots</span></div>
<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputSlotIdx = 0; inputSlotIdx < subgraphNumInputSlots; ++inputSlotIdx)</div>
<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  {</div>
<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <a class="code" href="classarmnn_1_1_i_input_slot.xhtml">IInputSlot</a>* subgraphInputSlot = subgraphInputSlots.at(inputSlotIdx);</div>
<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(subgraphInputSlot);</div>
<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  </div>
<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="comment">// Only disconnect if the InputSlot has a connection, this might not be the case when</span></div>
<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="comment">// dealing with working copies of SubgraphViews</span></div>
<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="comment">// Note: we don't need this check for OutputSlot as it iterates over a vector of valid connections</span></div>
<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <span class="keywordflow">if</span> (subgraphInputSlot-><a class="code" href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">GetConnection</a>())</div>
<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  {</div>
<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">IOutputSlot</a>* connectedOutputSlot = subgraphInputSlot-><a class="code" href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">GetConnection</a>();</div>
<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(connectedOutputSlot);</div>
<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  connectedOutputSlot-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ae16a4d0c56ca96e5d61785bd3e3e7992">Disconnect</a>(*subgraphInputSlot);</div>
<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  </div>
<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <a class="code" href="classarmnn_1_1_i_input_slot.xhtml">IInputSlot</a>* substituteInputSlot = substituteSubgraphInputSlots.at(inputSlotIdx);</div>
<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(substituteInputSlot);</div>
<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  connectedOutputSlot-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(*substituteInputSlot);</div>
<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  }</div>
<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  }</div>
<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  </div>
<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="comment">// Step 2: process output slots</span></div>
<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputSlotIdx = 0; outputSlotIdx < subgraphNumOutputSlots; ++outputSlotIdx)</div>
<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  {</div>
<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keyword">auto</span> subgraphOutputSlot =</div>
<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  PolymorphicDowncast<OutputSlot*>(subgraphOutputSlots.at(outputSlotIdx));</div>
<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(subgraphOutputSlot);</div>
<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  </div>
<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <span class="keyword">auto</span> substituteOutputSlot =</div>
<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  PolymorphicDowncast<OutputSlot*>(substituteSubgraphOutputSlots.at(outputSlotIdx));</div>
<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(substituteOutputSlot);</div>
<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  </div>
<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  subgraphOutputSlot->MoveAllConnections(*substituteOutputSlot);</div>
<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  }</div>
<div class="line"><a name="l00528"></a><span class="lineno"> 528</span> }</div>
<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  </div>
<div class="line"><a name="l00530"></a><span class="lineno"> 530</span> <span class="keywordtype">void</span> Graph::EraseSubgraphLayers(SubgraphView &subgraph)</div>
<div class="line"><a name="l00531"></a><span class="lineno"> 531</span> {</div>
<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  </div>
<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> iConnectableLayer : subgraph.GetIConnectableLayers())</div>
<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  {</div>
<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="keyword">auto</span> layer = PolymorphicDowncast<Layer*>(iConnectableLayer);</div>
<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <a class="code" href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(layer);</div>
<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  }</div>
<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  subgraph.Clear();</div>
<div class="line"><a name="l00539"></a><span class="lineno"> 539</span> }</div>
<div class="line"><a name="l00540"></a><span class="lineno"> 540</span> <span class="comment"></span> </div>
<div class="line"><a name="l00541"></a><span class="lineno"> 541</span> <span class="comment">/// For each ConstantLayer in Graph, ensures TensorInfo is set on all output slots.</span></div>
<div class="line"><a name="l00542"></a><span class="lineno"> 542</span> <span class="comment">/// LayerValidationException thrown if no TensorInfo is set.</span></div>
<div class="line"><a name="l00543"></a><span class="lineno"> 543</span> <span class="comment">///</span></div>
<div class="line"><a name="l00544"></a><span class="lineno"> 544</span> <span class="comment">/// @throws LayerValidationException</span></div>
<div class="line"><a name="l00545"></a><span class="lineno"><a class="line" href="classarmnn_1_1_graph.xhtml#a6cc2c46f05be1d3bf113d632aed1e496"> 545</a></span> <span class="comment"></span><span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_graph.xhtml#a6cc2c46f05be1d3bf113d632aed1e496">Graph::VerifyConstantLayerSetTensorInfo</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00546"></a><span class="lineno"> 546</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& layer : <a class="code" href="classarmnn_1_1_graph.xhtml#af497e16cf92179b5e55543741351b8bf">TopologicalSort</a>())</div>
<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  {</div>
<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="keywordflow">if</span> (layer->GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a>)</div>
<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  {</div>
<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& output: layer->GetOutputSlots())</div>
<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  {</div>
<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="keywordflow">if</span> (!output.IsTensorInfoSet())</div>
<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  {</div>
<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  std::ostringstream message;</div>
<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  message << <span class="stringliteral">"Output slot TensorInfo not set on "</span></div>
<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  << <a class="code" href="namespacearmnn.xhtml#addb6b14dd1b632263ffe77430259a7c4">GetLayerTypeAsCString</a>(layer->GetType())</div>
<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  << <span class="stringliteral">" layer \""</span></div>
<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  << layer->GetName()</div>
<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  << <span class="stringliteral">"\""</span>;</div>
<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.xhtml">LayerValidationException</a>(message.str());</div>
<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  }</div>
<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  }</div>
<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  }</div>
<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  }</div>
<div class="line"><a name="l00566"></a><span class="lineno"> 566</span> }</div>
<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  </div>
<div class="line"><a name="l00568"></a><span class="lineno"><a class="line" href="classarmnn_1_1_graph.xhtml#a2ceda8d369e861997d558fac74d79c33"> 568</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_graph.xhtml#a2ceda8d369e861997d558fac74d79c33">Graph::InferTensorInfos</a>()</div>
<div class="line"><a name="l00569"></a><span class="lineno"> 569</span> {</div>
<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& layer : <a class="code" href="classarmnn_1_1_graph.xhtml#af497e16cf92179b5e55543741351b8bf">TopologicalSort</a>())</div>
<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  {</div>
<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& input : layer->GetInputSlots())</div>
<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  {</div>
<div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">IOutputSlot</a>* source = input.GetConnectedOutputSlot();</div>
<div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="keywordflow">if</span> (source == NULL)</div>
<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  {</div>
<div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="comment">// Throws exception due to a layer input not being connected to an output slot.</span></div>
<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <span class="comment">// Verifies input slot weights and bias are set for FullyConnected layers.</span></div>
<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  ConstructErrorMessageForUnconnectedInputs(layer, input.GetSlotIndex());</div>
<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  }</div>
<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  </div>
<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <span class="keywordflow">if</span> (!source-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ab4e57caf059794897b17266090ebcb39">IsTensorInfoSet</a>())</div>
<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  {</div>
<div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  std::ostringstream message;</div>
<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  message << <span class="stringliteral">"Output slot TensorInfo not set on "</span></div>
<div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  << <a class="code" href="namespacearmnn.xhtml#addb6b14dd1b632263ffe77430259a7c4">GetLayerTypeAsCString</a>(layer->GetType())</div>
<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  << <span class="stringliteral">" layer "</span></div>
<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  << std::quoted(layer->GetName());</div>
<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.xhtml">LayerValidationException</a>(message.str());</div>
<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  }</div>
<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  }</div>
<div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  </div>
<div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <span class="keywordflow">if</span> (layer->m_ShapeInferenceMethod == <a class="code" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1">ShapeInferenceMethod::ValidateOnly</a>)</div>
<div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  {</div>
<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  layer->ValidateTensorShapesFromInputs();</div>
<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  }</div>
<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  }</div>
<div class="line"><a name="l00598"></a><span class="lineno"> 598</span> }</div>
<div class="line"><a name="l00599"></a><span class="lineno"> 599</span> <span class="comment"></span> </div>
<div class="line"><a name="l00600"></a><span class="lineno"> 600</span> <span class="comment">/// Throws exception due to a layer input not being connected to an output slot.</span></div>
<div class="line"><a name="l00601"></a><span class="lineno"> 601</span> <span class="comment">/// Verifies weights and bias are set for layers on input slots 1</span></div>
<div class="line"><a name="l00602"></a><span class="lineno"> 602</span> <span class="comment">/// and 2 respectively. Method checks if bias is enabled before ensuring it is set.</span></div>
<div class="line"><a name="l00603"></a><span class="lineno"> 603</span> <span class="comment">///</span></div>
<div class="line"><a name="l00604"></a><span class="lineno"> 604</span> <span class="comment">/// @param layer constant pointer to a Layer object</span></div>
<div class="line"><a name="l00605"></a><span class="lineno"> 605</span> <span class="comment">/// @param slotIndex input slot index of layer</span></div>
<div class="line"><a name="l00606"></a><span class="lineno"> 606</span> <span class="comment">/// @throws LayerValidationException</span></div>
<div class="line"><a name="l00607"></a><span class="lineno"> 607</span> <span class="comment"></span><span class="keywordtype">void</span> Graph::ConstructErrorMessageForUnconnectedInputs(<a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* <span class="keyword">const</span> layer,</div>
<div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIndex)</div>
<div class="line"><a name="l00609"></a><span class="lineno"> 609</span> {</div>
<div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  std::ostringstream message;</div>
<div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <span class="keywordtype">bool</span> noWeightsAndBias = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  </div>
<div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <span class="keywordflow">if</span> ((layer-><a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a> ||</div>
<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  layer-><a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a> ||</div>
<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  layer-><a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::LayerType::Convolution3d</a> ||</div>
<div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  layer-><a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a>) && slotIndex > 0)</div>
<div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  {</div>
<div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  message << std::endl;</div>
<div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  </div>
<div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <span class="comment">// If weights are not set and is bias enabled, also check if bias is set</span></div>
<div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <span class="keywordflow">if</span> (slotIndex == 1 && layer-><a class="code" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() == 3)</div>
<div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  {</div>
<div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">IOutputSlot</a>* biasSource = layer-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(2).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>();</div>
<div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  <span class="keywordflow">if</span> (biasSource == NULL)</div>
<div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  {</div>
<div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  message << <span class="stringliteral">"Weights and bias layers not set."</span> << std::endl;</div>
<div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  noWeightsAndBias = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  }</div>
<div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  }</div>
<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  </div>
<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="comment">// Only weights or bias are not set</span></div>
<div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <span class="keywordflow">if</span> (!noWeightsAndBias)</div>
<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  {</div>
<div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <span class="keywordflow">if</span> (slotIndex == 1)</div>
<div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  {</div>
<div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  message << <span class="stringliteral">"Weights layer not set."</span> << std::endl;</div>
<div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  }</div>
<div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  {</div>
<div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  message << <span class="stringliteral">"Bias layer not set."</span> << std::endl;</div>
<div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  }</div>
<div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  }</div>
<div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  }</div>
<div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  </div>
<div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  std::string slotString = noWeightsAndBias ? <span class="stringliteral">"1 & 2"</span> : std::to_string(slotIndex);</div>
<div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  message << <span class="stringliteral">"Input slot(s) "</span></div>
<div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  << slotString</div>
<div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  << <span class="stringliteral">" for "</span></div>
<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  << <a class="code" href="namespacearmnn.xhtml#addb6b14dd1b632263ffe77430259a7c4">GetLayerTypeAsCString</a>(layer-><a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>())</div>
<div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  << <span class="stringliteral">" not connected to an output slot. "</span> << std::endl</div>
<div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  << <span class="stringliteral">"Layer name: "</span></div>
<div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  << std::quoted(layer-><a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div>
<div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <span class="keywordflow">throw</span> LayerValidationException(message.str());</div>
<div class="line"><a name="l00654"></a><span class="lineno"> 654</span> }</div>
<div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  </div>
<div class="line"><a name="l00656"></a><span class="lineno"><a class="line" href="classarmnn_1_1_graph.xhtml#a880db527e7dbf8d0de3fee52ba072482"> 656</a></span> <span class="keyword">const</span> std::shared_ptr<IProfiler>& <a class="code" href="classarmnn_1_1_graph.xhtml#a880db527e7dbf8d0de3fee52ba072482">Graph::GetProfiler</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00657"></a><span class="lineno"> 657</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <span class="keywordflow">return</span> m_Profiler;</div>
<div class="line"><a name="l00659"></a><span class="lineno"> 659</span> }</div>
<div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  </div>
<div class="line"><a name="l00661"></a><span class="lineno"><a class="line" href="classarmnn_1_1_graph.xhtml#ac3b4675f7a50a0f242880fb044aa8dec"> 661</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_graph.xhtml#ac3b4675f7a50a0f242880fb044aa8dec">Graph::SetLayersOutOfOrder</a>()</div>
<div class="line"><a name="l00662"></a><span class="lineno"> 662</span> {</div>
<div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  m_LayersInOrder = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00664"></a><span class="lineno"> 664</span> }</div>
<div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  </div>
<div class="line"><a name="l00666"></a><span class="lineno"> 666</span> } <span class="comment">// namespace armnn</span></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml_a2ceda8d369e861997d558fac74d79c33"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a2ceda8d369e861997d558fac74d79c33">armnn::Graph::InferTensorInfos</a></div><div class="ttdeci">void InferTensorInfos()</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00568">Graph.cpp:568</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::LayerType::MemCopy</a></div><div class="ttdeci">@ MemCopy</div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml_a880db527e7dbf8d0de3fee52ba072482"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a880db527e7dbf8d0de3fee52ba072482">armnn::Graph::GetProfiler</a></div><div class="ttdeci">const std::shared_ptr< IProfiler > & GetProfiler() const</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00656">Graph.cpp:656</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_id_xhtml"><div class="ttname"><a href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.xhtml#l00075">BackendId.hpp:75</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00200">Layer.cpp:200</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a></div><div class="ttdeci">@ FullyConnected</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_aff209afc1dc598da399e3e78617ce016a78d1be0baa31e083ae8da99aaedaf650"><div class="ttname"><a href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016a78d1be0baa31e083ae8da99aaedaf650">armnn::EdgeStrategy::DirectCompatibility</a></div><div class="ttdeci">@ DirectCompatibility</div><div class="ttdoc">No strategy has been defined. Used internally to verify integrity of optimizations.</div></div>
<div class="ttc" id="aclassarmnn_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#l00053">Layer.hpp:53</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_aff209afc1dc598da399e3e78617ce016aec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016aec0fc0100c4fc1ce4eea230c3dc10360">armnn::EdgeStrategy::Undefined</a></div><div class="ttdeci">@ Undefined</div></div>
<div class="ttc" id="aclassarmnn_1_1_dot_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_dot_graph.xhtml">armnn::DotGraph</a></div><div class="ttdef"><b>Definition:</b> <a href="_dot_serializer_8hpp_source.xhtml#l00125">DotSerializer.hpp:125</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00087">Layer.hpp:87</a></div></div>
<div class="ttc" id="a_i_backend_internal_8hpp_xhtml"><div class="ttname"><a href="_i_backend_internal_8hpp.xhtml">IBackendInternal.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_xhtml_a04149d0f9b9c54c05e95693111490daf"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a04149d0f9b9c54c05e95693111490daf">armnn::ITensorHandle::Manage</a></div><div class="ttdeci">virtual void Manage()=0</div><div class="ttdoc">Indicate to the memory manager that this resource is active.</div></div>
<div class="ttc" id="aclassarmnn_1_1_dot_edge_xhtml_a721c9bf7f2e6a2d88d340253ccc19815"><div class="ttname"><a href="classarmnn_1_1_dot_edge.xhtml#a721c9bf7f2e6a2d88d340253ccc19815">armnn::DotEdge::GetAttributeSet</a></div><div class="ttdeci">DotAttributeSet & GetAttributeSet()</div><div class="ttdef"><b>Definition:</b> <a href="_dot_serializer_8hpp_source.xhtml#l00083">DotSerializer.hpp:83</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_node_content_xhtml_a1beba3dee2a8ebc37e76245302e42eeb"><div class="ttname"><a href="classarmnn_1_1_node_content.xhtml#a1beba3dee2a8ebc37e76245302e42eeb">armnn::NodeContent::AddContent</a></div><div class="ttdeci">NodeContent & AddContent(const std::string &content)</div><div class="ttdef"><b>Definition:</b> <a href="_dot_serializer_8cpp_source.xhtml#l00147">DotSerializer.cpp:147</a></div></div>
<div class="ttc" id="a_subgraph_view_8hpp_xhtml"><div class="ttname"><a href="_subgraph_view_8hpp.xhtml">SubgraphView.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00042">Layer.hpp:42</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00056">Layer.hpp:56</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00050">ITensorHandleFactory.hpp:50</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1"><div class="ttname"><a href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1">armnn::ShapeInferenceMethod::ValidateOnly</a></div><div class="ttdeci">@ ValidateOnly</div><div class="ttdoc">Validate all output shapes.</div></div>
<div class="ttc" id="aclassarmnn_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#l00023">TensorHandleFactoryRegistry.hpp:23</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00068">INetwork.hpp:68</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml_a5a989a5f9aeb2935ba932b7f8312fe0c"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a5a989a5f9aeb2935ba932b7f8312fe0c">armnn::Graph::AllocateDynamicBuffers</a></div><div class="ttdeci">Status AllocateDynamicBuffers()</div><div class="ttdoc">Allocates memory for all tensors under output tensor handers of each layer.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00181">Graph.cpp:181</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a316670cb6b65902e017c32ca4bcb4b98"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a316670cb6b65902e017c32ca4bcb4b98">armnn::Layer::SetBackendId</a></div><div class="ttdeci">void SetBackendId(const BackendId &id) override</div><div class="ttdoc">Set the backend of the IConnectableLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00278">Layer.hpp:278</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_dot_defaults_xhtml"><div class="ttname"><a href="classarmnn_1_1_dot_defaults.xhtml">armnn::DotDefaults</a></div><div class="ttdef"><b>Definition:</b> <a href="_dot_serializer_8hpp_source.xhtml#l00114">DotSerializer.hpp:114</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml_afd329ee7d721aa6cdaacb8391308e34f"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#afd329ee7d721aa6cdaacb8391308e34f">armnn::Graph::Print</a></div><div class="ttdeci">Status Print() const</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00063">Graph.cpp:63</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a></div><div class="ttdeci">@ Convolution2d</div></div>
<div class="ttc" id="aclassarmnn_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#l00217">Layer.hpp:217</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml_ac3b4675f7a50a0f242880fb044aa8dec"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#ac3b4675f7a50a0f242880fb044aa8dec">armnn::Graph::SetLayersOutOfOrder</a></div><div class="ttdeci">void SetLayersOutOfOrder()</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00661">Graph.cpp:661</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_dot_attribute_set_xhtml_af7b33bce35fe3d2009f2090d950c0160"><div class="ttname"><a href="classarmnn_1_1_dot_attribute_set.xhtml#af7b33bce35fe3d2009f2090d950c0160">armnn::DotAttributeSet::AddAttribute</a></div><div class="ttdeci">DotAttributeSet & AddAttribute(const std::string &name, const std::stringstream &value)</div><div class="ttdef"><b>Definition:</b> <a href="_dot_serializer_8cpp_source.xhtml#l00095">DotSerializer.cpp:95</a></div></div>
<div class="ttc" id="anamespacearmnn_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#l00104">ITensorHandleFactory.hpp:104</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_dot_node_xhtml"><div class="ttname"><a href="classarmnn_1_1_dot_node.xhtml">armnn::DotNode</a></div><div class="ttdef"><b>Definition:</b> <a href="_dot_serializer_8hpp_source.xhtml#l00101">DotSerializer.hpp:101</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_dot_defaults_xhtml_a721c9bf7f2e6a2d88d340253ccc19815"><div class="ttname"><a href="classarmnn_1_1_dot_defaults.xhtml#a721c9bf7f2e6a2d88d340253ccc19815">armnn::DotDefaults::GetAttributeSet</a></div><div class="ttdeci">DotAttributeSet & GetAttributeSet()</div><div class="ttdef"><b>Definition:</b> <a href="_dot_serializer_8hpp_source.xhtml#l00120">DotSerializer.hpp:120</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_xhtml_ad7c7687cd3542e5cbb45e56f9a9456e7"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#ad7c7687cd3542e5cbb45e56f9a9456e7">armnn::SubgraphView::IConnectableLayers</a></div><div class="ttdeci">std::list< IConnectableLayer * > IConnectableLayers</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8hpp_source.xhtml#l00062">SubgraphView.hpp:62</a></div></div>
<div class="ttc" id="a_assert_8hpp_xhtml"><div class="ttname"><a href="_assert_8hpp.xhtml">Assert.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml_a6cc2c46f05be1d3bf113d632aed1e496"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a6cc2c46f05be1d3bf113d632aed1e496">armnn::Graph::VerifyConstantLayerSetTensorInfo</a></div><div class="ttdeci">void VerifyConstantLayerSetTensorInfo() const</div><div class="ttdoc">For each ConstantLayer in Graph, ensures TensorInfo is set on all output slots.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00545">Graph.cpp:545</a></div></div>
<div class="ttc" id="a_dot_serializer_8hpp_xhtml"><div class="ttname"><a href="_dot_serializer_8hpp.xhtml">DotSerializer.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_xhtml_a8055e06b4f21d51fd8b4fc22ead2bdf0"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#a8055e06b4f21d51fd8b4fc22ead2bdf0">armnn::SubgraphView::GetIConnectableLayers</a></div><div class="ttdeci">const IConnectableLayers & GetIConnectableLayers() const</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8cpp_source.xhtml#l00308">SubgraphView.cpp:308</a></div></div>
<div class="ttc" id="a_logging_8hpp_xhtml_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.xhtml#l00212">Logging.hpp:212</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_output_slot_xhtml_ab4e57caf059794897b17266090ebcb39"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#ab4e57caf059794897b17266090ebcb39">armnn::IOutputSlot::IsTensorInfoSet</a></div><div class="ttdeci">virtual bool IsTensorInfoSet() const =0</div></div>
<div class="ttc" id="aclassarmnn_1_1_i_output_slot_xhtml_ac1835f8756a9f03c02fcf9664e3a0fce"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">armnn::IOutputSlot::Connect</a></div><div class="ttdeci">virtual int Connect(IInputSlot &destination)=0</div></div>
<div class="ttc" id="anamespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_xhtml_a4ad949634fd697549da161eb09d8b7fd"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#a4ad949634fd697549da161eb09d8b7fd">armnn::SubgraphView::IInputSlots</a></div><div class="ttdeci">std::vector< IInputSlot * > IInputSlots</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8hpp_source.xhtml#l00058">SubgraphView.hpp:58</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_input_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_input_slot.xhtml">armnn::IInputSlot</a></div><div class="ttdoc">An input connection slot for a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00025">INetwork.hpp:25</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_dot_node_xhtml_a1734bc659f144a8465e22d4b53b8f580"><div class="ttname"><a href="classarmnn_1_1_dot_node.xhtml#a1734bc659f144a8465e22d4b53b8f580">armnn::DotNode::GetContents</a></div><div class="ttdeci">NodeContent & GetContents()</div><div class="ttdef"><b>Definition:</b> <a href="_dot_serializer_8hpp_source.xhtml#l00107">DotSerializer.hpp:107</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_output_slot_xhtml_ae16a4d0c56ca96e5d61785bd3e3e7992"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#ae16a4d0c56ca96e5d61785bd3e3e7992">armnn::IOutputSlot::Disconnect</a></div><div class="ttdeci">virtual void Disconnect(IInputSlot &slot)=0</div></div>
<div class="ttc" id="a_backend_id_8hpp_xhtml"><div class="ttname"><a href="_backend_id_8hpp.xhtml">BackendId.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00092">Layer.cpp:92</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml">armnn::ITensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.xhtml#l00015">ITensorHandle.hpp:15</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml_aafbd4b469e47160017f409df8d077184"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#aafbd4b469e47160017f409df8d077184">armnn::Graph::SubstituteSubgraph</a></div><div class="ttdeci">void SubstituteSubgraph(SubgraphView &subgraph, IConnectableLayer *substituteLayer)</div><div class="ttdoc">Substitutes the given sub-graph with either a new layer or a new sub-graph.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00435">Graph.cpp:435</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00205">Layer.cpp:205</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_xhtml_a89db17358856d60f03966a0e2e8cb25c"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#a89db17358856d60f03966a0e2e8cb25c">armnn::SubgraphView::ForEachIConnectableLayer</a></div><div class="ttdeci">void ForEachIConnectableLayer(Func func) const</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8hpp_source.xhtml#l00046">SubgraphView.hpp:46</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00210">Layer.cpp:210</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00321">Layer.hpp:321</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a></div><div class="ttdeci">@ DepthwiseConvolution2d</div></div>
<div class="ttc" id="aclassarmnn_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#l00326">Layer.hpp:326</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_ae89ff455503aa106d00bf34103d2f2e0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#ae89ff455503aa106d00bf34103d2f2e0">armnn::Layer::Clone</a></div><div class="ttdeci">virtual Layer * Clone(Graph &graph) const =0</div><div class="ttdoc">Creates a dynamically-allocated copy of this layer.</div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_xhtml_a50b562d4a4edc64d7d8abcca056f0b8c"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a50b562d4a4edc64d7d8abcca056f0b8c">armnn::OutputSlot::GetConnections</a></div><div class="ttdeci">const std::vector< InputSlot * > & GetConnections() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00132">Layer.hpp:132</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">armnn::Status::Failure</a></div><div class="ttdeci">@ Failure</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_ad8e15c530c929ab823d89ae9fd2d3f11"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const override</div><div class="ttdoc">Returns the armnn::LayerType of this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00273">Layer.hpp:273</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a98cdff4e0b45f4c80bfcedaf926e16e0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a98cdff4e0b45f4c80bfcedaf926e16e0">armnn::Layer::GetOutputSlots</a></div><div class="ttdeci">const std::vector< OutputSlot > & GetOutputSlots() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00246">Layer.hpp:246</a></div></div>
<div class="ttc" id="a_profiling_8hpp_xhtml_a5ccc65e2c464ac05ce311fdae7ede03a"><div class="ttname"><a href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.xhtml#l00220">Profiling.hpp:220</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_xhtml"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml">armnn::SubgraphView</a></div><div class="ttdoc">The SubgraphView class represents a subgraph of a Graph.</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8hpp_source.xhtml#l00031">SubgraphView.hpp:31</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_output_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a></div><div class="ttdoc">An output connection slot for a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00041">INetwork.hpp:41</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div><div class="ttdeci">@ Constant</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_afdb1d37740e7a083b625d669588b6a0e"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">armnn::Layer::GetBackendId</a></div><div class="ttdeci">const BackendId & GetBackendId() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00277">Layer.hpp:277</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a817d4be6dd88f532d36f51748ec14185"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a817d4be6dd88f532d36f51748ec14185">armnn::Layer::BeginOutputSlots</a></div><div class="ttdeci">std::vector< OutputSlot >::iterator BeginOutputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00253">Layer.hpp:253</a></div></div>
<div class="ttc" id="aclassarmnn_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="aclassarmnn_1_1_graph_xhtml_ad1bbee7bf5f93b792675886f57d3ebe0"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#ad1bbee7bf5f93b792675886f57d3ebe0">armnn::Graph::AddCompatibilityLayers</a></div><div class="ttdeci">void AddCompatibilityLayers(std::map< BackendId, std::unique_ptr< class IBackendInternal >> &backends, TensorHandleFactoryRegistry &registry)</div><div class="ttdoc">Modifies the graph in-place, removing edges connecting layers using different compute devices,...</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00303">Graph.cpp:303</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a></div><div class="ttdeci">@ Success</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00042">Types.hpp:42</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00119">Layer.hpp:119</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml_aa5cc5821862aa5cecac2b54974c2b3d8"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#aa5cc5821862aa5cecac2b54974c2b3d8">armnn::Graph::Graph</a></div><div class="ttdeci">Graph(bool shapeInferenceMethod=false, bool allowExpandedDims=false)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00098">Graph.hpp:98</a></div></div>
<div class="ttc" id="aclassarmnn_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="anamespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Compute::Undefined</a></div><div class="ttdeci">@ Undefined</div></div>
<div class="ttc" id="a_assert_8hpp_xhtml_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00015">Assert.hpp:15</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_xhtml_a3f717693851810942d3ae0180a97fb4c"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#a3f717693851810942d3ae0180a97fb4c">armnn::SubgraphView::IOutputSlots</a></div><div class="ttdeci">std::vector< IOutputSlot * > IOutputSlots</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8hpp_source.xhtml#l00060">SubgraphView.hpp:60</a></div></div>
<div class="ttc" id="anamespacearmnn_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="aclassarmnn_1_1_i_input_slot_xhtml_a81fbf6103761e55061b62ba989b00f10"><div class="ttname"><a href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">armnn::IInputSlot::GetConnection</a></div><div class="ttdeci">virtual const IOutputSlot * GetConnection() const =0</div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_xhtml_a5cceed8b707a09bf27eb61f17acf8a88"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a5cceed8b707a09bf27eb61f17acf8a88">armnn::ITensorHandle::Allocate</a></div><div class="ttdeci">virtual void Allocate()=0</div><div class="ttdoc">Indicate to the memory manager that this resource is no longer active.</div></div>
<div class="ttc" id="aclassarmnn_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#l00324">Layer.hpp:324</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_xhtml_a437893b8dcf58a0b68b70e1ad7933be6"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a437893b8dcf58a0b68b70e1ad7933be6">armnn::ITensorHandle::GetParent</a></div><div class="ttdeci">virtual ITensorHandle * GetParent() const =0</div><div class="ttdoc">Get the parent tensor if this is a subtensor.</div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml_ad6521013ad981519904822f2ada2c4ec"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#ad6521013ad981519904822f2ada2c4ec">armnn::Graph::ForEachLayer</a></div><div class="ttdeci">void ForEachLayer(Func func) const</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00040">Graph.hpp:40</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00330">Layer.hpp:330</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00030">Graph.hpp:30</a></div></div>
<div class="ttc" id="a_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml_a131873e7a706fc7ca0637027236916e9"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a131873e7a706fc7ca0637027236916e9">armnn::Graph::SerializeToDot</a></div><div class="ttdeci">Status SerializeToDot(std::ostream &stream)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00120">Graph.cpp:120</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_xhtml_a29ce2fa137002ecdafe9ad28e441a36d"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a29ce2fa137002ecdafe9ad28e441a36d">armnn::OutputSlot::GetEdgeStrategies</a></div><div class="ttdeci">const std::vector< EdgeStrategy > & GetEdgeStrategies() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00133">Layer.hpp:133</a></div></div>
<div class="ttc" id="a_logging_8hpp_xhtml"><div class="ttname"><a href="_logging_8hpp.xhtml">Logging.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_dot_edge_xhtml"><div class="ttname"><a href="classarmnn_1_1_dot_edge.xhtml">armnn::DotEdge</a></div><div class="ttdef"><b>Definition:</b> <a href="_dot_serializer_8hpp_source.xhtml#l00077">DotSerializer.hpp:77</a></div></div>
<div class="ttc" id="a_numeric_cast_8hpp_xhtml"><div class="ttname"><a href="_numeric_cast_8hpp.xhtml">NumericCast.hpp</a></div></div>
<div class="ttc" id="a_layers_fwd_8hpp_xhtml"><div class="ttname"><a href="_layers_fwd_8hpp.xhtml">LayersFwd.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_xhtml_ada17adb05f8061fffa3e193544795fd5"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#ada17adb05f8061fffa3e193544795fd5">armnn::SubgraphView::GetIInputSlots</a></div><div class="ttdeci">const IInputSlots & GetIInputSlots() const</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8cpp_source.xhtml#l00238">SubgraphView.cpp:238</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00319">Layer.hpp:319</a></div></div>
<div class="ttc" id="a_types_utils_8hpp_xhtml"><div class="ttname"><a href="_types_utils_8hpp.xhtml">TypesUtils.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::LayerType::Convolution3d</a></div><div class="ttdeci">@ Convolution3d</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_aff209afc1dc598da399e3e78617ce016a46e8b7bfd6fd3c0cb34a100478a39189"><div class="ttname"><a href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016a46e8b7bfd6fd3c0cb34a100478a39189">armnn::EdgeStrategy::ExportToTarget</a></div><div class="ttdeci">@ ExportToTarget</div><div class="ttdoc">Destination backend can work directly with tensors on source backend.</div></div>
<div class="ttc" id="aclassarmnn_1_1_input_slot_xhtml_ae3f69b193433448bee0f3925da4b01a3"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#ae3f69b193433448bee0f3925da4b01a3">armnn::InputSlot::GetSlotIndex</a></div><div class="ttdeci">unsigned int GetSlotIndex() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00054">Layer.hpp:54</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_xhtml_adc4e3f28ec3906680f1a25a7b1a3e8f9"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.xhtml#adc4e3f28ec3906680f1a25a7b1a3e8f9">armnn::SubgraphView::GetIOutputSlots</a></div><div class="ttdeci">const IOutputSlots & GetIOutputSlots() const</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8cpp_source.xhtml#l00248">SubgraphView.cpp:248</a></div></div>
<div class="ttc" id="a_types_8hpp_xhtml_af22094b802160f09f7c89ad9eee10084"><div class="ttname"><a href="_types_8hpp.xhtml#af22094b802160f09f7c89ad9eee10084">LayerGuid</a></div><div class="ttdeci">arm::pipe::ProfilingGuid LayerGuid</div><div class="ttdoc">Define LayerGuid type.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00026">Types.hpp:26</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::LayerType::MemImport</a></div><div class="ttdeci">@ MemImport</div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml_a96d76fd10af39fbfabfd0caf0d1439fa"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">armnn::Graph::EraseLayer</a></div><div class="ttdeci">void EraseLayer(Iterator pos)</div><div class="ttdoc">Deletes the layer at the specified position.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00504">Graph.hpp:504</a></div></div>
<div class="ttc" id="a_graph_8hpp_xhtml"><div class="ttname"><a href="_graph_8hpp.xhtml">Graph.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_xhtml_af497e16cf92179b5e55543741351b8bf"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#af497e16cf92179b5e55543741351b8bf">armnn::Graph::TopologicalSort</a></div><div class="ttdeci">Graph & TopologicalSort()</div><div class="ttdoc">Sorts layers in topological order and return this.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00184">Graph.hpp:184</a></div></div>
<div class="ttc" id="anamespacearmnn_xhtml_aff209afc1dc598da399e3e78617ce016ac366da48cc11956ae377a77751936852"><div class="ttname"><a href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016ac366da48cc11956ae377a77751936852">armnn::EdgeStrategy::CopyToTarget</a></div><div class="ttdeci">@ CopyToTarget</div><div class="ttdoc">Source backends tensor data can be exported to destination backend tensor without copy.</div></div>
<div class="ttc" id="anamespacearmnn_xhtml_addb6b14dd1b632263ffe77430259a7c4"><div class="ttname"><a href="namespacearmnn.xhtml#addb6b14dd1b632263ffe77430259a7c4">armnn::GetLayerTypeAsCString</a></div><div class="ttdeci">const char * 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="anamespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div>
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