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<div class="title">Layer.hpp</div> </div>
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<a href="_layer_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd 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> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> </div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_layer_fwd_8hpp.xhtml">LayerFwd.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="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp.xhtml">armnn/backends/ITensorHandleFactory.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_output_handler_8hpp.xhtml">OutputHandler.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_tensor_handle_factory_registry_8hpp.xhtml">backendsCommon/TensorHandleFactoryRegistry.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_workload_data_collector_8hpp.xhtml">backendsCommon/WorkloadDataCollector.hpp</a>></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="src_2backends_2backends_common_2_workload_info_8hpp.xhtml">backendsCommon/WorkloadInfo.hpp</a>></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include "<a class="code" href="_internal_types_8hpp.xhtml">InternalTypes.hpp</a>"</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include "<a class="code" href="_serialize_layer_parameters_8hpp.xhtml">SerializeLayerParameters.hpp</a>"</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <<a class="code" href="_types_8hpp.xhtml">armnn/Types.hpp</a>></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include <<a class="code" href="_tensor_8hpp.xhtml">armnn/Tensor.hpp</a>></span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include <<a class="code" href="_i_network_8hpp.xhtml">armnn/INetwork.hpp</a>></span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include <<a class="code" href="_ignore_unused_8hpp.xhtml">armnn/utility/IgnoreUnused.hpp</a>></span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</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="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#include <<a class="code" href="_polymorphic_downcast_8hpp.xhtml">armnn/utility/PolymorphicDowncast.hpp</a>></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="preprocessor">#include <algorithm></span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include <functional></span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include <iostream></span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <list></span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include <memory></span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include <vector></span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include <<a class="code" href="_workload_data_8hpp.xhtml">backendsCommon/WorkloadData.hpp</a>></span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></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> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">class </span>IWorkload;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">class </span>IWorkloadFactory;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">class </span><a class="code" href="namespacearmnn_serializer.xhtml#a9a8118be7780e95363d631cbca7e7800">Layer</a>;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">class </span>Graph;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="classarmnn_1_1_input_slot.xhtml"> 41</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a> final : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_i_input_slot.xhtml">IInputSlot</a></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="classarmnn_1_1_input_slot.xhtml#a86682888c4c0161a95a080ec1fc91892"> 44</a></span>  <span class="keyword">explicit</span> <a class="code" href="classarmnn_1_1_input_slot.xhtml#a86682888c4c0161a95a080ec1fc91892">InputSlot</a>(<a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& owner, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIndex)</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  : m_OwningLayer(owner)</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  , m_Connection(nullptr)</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  , m_SlotIndex(slotIndex)</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  {}</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="classarmnn_1_1_input_slot.xhtml#a0fe41ea612a97f8cd9b0e3e86d8b53fd">~InputSlot</a>();</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="classarmnn_1_1_input_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6"> 52</a></span>  <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& <a class="code" href="classarmnn_1_1_input_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_OwningLayer; }</div><div class="line"><a name="l00053"></a><span class="lineno"><a class="line" href="classarmnn_1_1_input_slot.xhtml#a3f1b6ae1550775ac9eef0cac0ea4266f"> 53</a></span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarmnn_1_1_input_slot.xhtml#a3f1b6ae1550775ac9eef0cac0ea4266f">GetSlotIndex</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_SlotIndex; }</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255"> 55</a></span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>* <a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_Connection; }</div><div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="classarmnn_1_1_input_slot.xhtml#ad5b716c1973e8476e5c338815aaeaac8"> 56</a></span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>* <a class="code" href="classarmnn_1_1_input_slot.xhtml#ad5b716c1973e8476e5c338815aaeaac8">GetConnectedOutputSlot</a>() { <span class="keywordflow">return</span> m_Connection; }</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"></span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> /// Links the slot to an output slot or breaks an existing link if passing nullptr.</span></div><div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="classarmnn_1_1_input_slot.xhtml#ae34c07e230a32ea853faed3fefc804f3"> 59</a></span> <span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_input_slot.xhtml#ae34c07e230a32ea853faed3fefc804f3">SetConnection</a>(<a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>* source)</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>  <span class="keywordflow">if</span> (m_Connection != <span class="keyword">nullptr</span> && source != <span class="keyword">nullptr</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"> 63</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"Tried to connect an output slot to an input slot, "</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="stringliteral">"but the latter already has a connection"</span>);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  }</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  m_Connection = source;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  }</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="comment">// Inserts single-output existing layer at this point in the graph.</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_input_slot.xhtml#a5a0a7224d93d14db044426a3878dab4d">Insert</a>(<a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& layer);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="comment">// IInputSlot</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">IOutputSlot</a>* <a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">IOutputSlot</a>* <a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& m_OwningLayer;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>* m_Connection;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m_SlotIndex;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</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"><a class="line" href="classarmnn_1_1_output_slot.xhtml"> 83</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a> final : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">IOutputSlot</a></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> <span class="keyword">public</span>:</div><div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a4e6d051d886332fd09b56ae125871a33"> 86</a></span>  <span class="keyword">explicit</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#a4e6d051d886332fd09b56ae125871a33">OutputSlot</a>(<a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& owner, <a class="code" href="classarmnn_1_1_output_handler.xhtml">OutputHandler</a>& outputHandler)</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  : m_OwningLayer(owner)</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  , m_OutputHandler(outputHandler)</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  , m_TensorHandleFactoryId(<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">ITensorHandleFactory</a>::LegacyFactoryId)</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  {}</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>&) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& operator=(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>&) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& operator=(<a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>&&) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>(<a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>&&) = <span class="keywordflow">default</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"><a class="line" href="classarmnn_1_1_output_slot.xhtml#adf321850aed578695768f803d709e089"> 98</a></span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml#adf321850aed578695768f803d709e089">~OutputSlot</a>()</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  {</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="comment">// Coverity fix: DisconnectAll() may throw uncaught exceptions.</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  DisconnectAll();</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  }</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> std::exception& e)</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="comment">// Coverity fix: BOOST_LOG_TRIVIAL (typically used to report errors) may throw an</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="comment">// exception of type std::length_error.</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="comment">// Using stderr instead in this context as there is no point in nesting try-catch blocks here.</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  std::cerr << <span class="stringliteral">"WARNING: An error has occurred when disconnecting all output slots: "</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  << e.what() << std::endl;</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>  }</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6"> 115</a></span>  <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& <a class="code" href="classarmnn_1_1_output_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_OwningLayer; }</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>  <a class="code" href="classarmnn_1_1profiling_1_1_profiling_guid.xhtml">LayerGuid</a> GetOwningLayerGuid() <span class="keyword">const override</span>;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00119"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#ab00cd1d8962a1927d0302901cb8410d7"> 119</a></span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_output_handler.xhtml">OutputHandler</a>& <a class="code" href="classarmnn_1_1_output_slot.xhtml#ab00cd1d8962a1927d0302901cb8410d7">GetOutputHandler</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_OutputHandler; }</div><div class="line"><a name="l00120"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a992cd5ce1cd4a8b10eebebee27ba044b"> 120</a></span>  <a class="code" href="classarmnn_1_1_output_handler.xhtml">OutputHandler</a>& <a class="code" href="classarmnn_1_1_output_slot.xhtml#a992cd5ce1cd4a8b10eebebee27ba044b">GetOutputHandler</a>() { <span class="keywordflow">return</span> m_OutputHandler; }</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>  <span class="keywordtype">int</span> <a class="code" href="_test_utils_8cpp.xhtml#a0b295acb179f15eb3fb862b32008f782">Connect</a>(<a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>& destination);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordtype">void</span> Disconnect(<a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>& slot);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a50b562d4a4edc64d7d8abcca056f0b8c"> 125</a></span>  <span class="keyword">const</span> std::vector<InputSlot*>& <a class="code" href="classarmnn_1_1_output_slot.xhtml#a50b562d4a4edc64d7d8abcca056f0b8c">GetConnections</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_Connections; }</div><div class="line"><a name="l00126"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a29ce2fa137002ecdafe9ad28e441a36d"> 126</a></span>  <span class="keyword">const</span> std::vector<EdgeStrategy>& <a class="code" href="classarmnn_1_1_output_slot.xhtml#a29ce2fa137002ecdafe9ad28e441a36d">GetEdgeStrategies</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_EdgeStrategies; }</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordtype">bool</span> ValidateTensorShape(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& shape) <span class="keyword">const</span>;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="comment">// Disconnect all conections.</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordtype">void</span> DisconnectAll();</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="comment"></span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="comment"> /// Moves all connections to another OutputSlot.</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="comment"></span> <span class="keywordtype">void</span> MoveAllConnections(<a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& destination);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="comment">// IOutputSlot</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a25b0119c02aece1d341b99953d169c0f"> 138</a></span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#a25b0119c02aece1d341b99953d169c0f">GetNumConnections</a>()<span class="keyword"> const override </span>{ <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a><<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>>(m_Connections.size()); }</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>* <a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index) <span class="keyword">const override</span>;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>* <a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index) <span class="keyword">override</span>;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordtype">void</span> SetTensorInfo(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& tensorInfo) <span class="keyword">override</span>;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& <a class="code" href="namespacearmnn.xhtml#af7ec4c0fa4375a45a70e4e31f3d8af47">GetTensorInfo</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordtype">bool</span> IsTensorInfoSet() <span class="keyword">const override</span>;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a1a173e83ec6aa1f55c7c23707a668a60"> 146</a></span>  <span class="keywordtype">int</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#a1a173e83ec6aa1f55c7c23707a668a60">Connect</a>(<a class="code" href="classarmnn_1_1_i_input_slot.xhtml">IInputSlot</a>& destination)<span class="keyword"> override</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">return</span> <a class="code" href="_test_utils_8cpp.xhtml#a0b295acb179f15eb3fb862b32008f782">Connect</a>(*PolymorphicDowncast<InputSlot*>(&destination));</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  }</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#acecc5f85737e89526b0fd2bc4a9cfb9a"> 151</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#acecc5f85737e89526b0fd2bc4a9cfb9a">Disconnect</a>(<a class="code" href="classarmnn_1_1_i_input_slot.xhtml">IInputSlot</a>& slot)<span class="keyword"> override</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">return</span> Disconnect(*PolymorphicDowncast<InputSlot*>(&slot));</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> </div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> CalculateIndexOnOwner() <span class="keyword">const override</span>;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> </div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator==</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& other) <span class="keyword">const</span>;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordtype">void</span> SetTensorHandleFactory(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a>& <span class="keywordtype">id</span>);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> GetTensorHandleFactoryId() <span class="keyword">const</span>;</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="keywordtype">void</span> SetEdgeStrategy(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> connectionIndex, <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016">EdgeStrategy</a> strategy);</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016">EdgeStrategy</a> GetEdgeStrategyForConnection(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> connectionIdx) <span class="keyword">const</span>;</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordtype">void</span> ValidateConnectionIndex(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index) <span class="keyword">const</span>;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> </div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& m_OwningLayer;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <a class="code" href="classarmnn_1_1_output_handler.xhtml">OutputHandler</a>& m_OutputHandler;</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  std::vector<InputSlot*> m_Connections;</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>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> m_TensorHandleFactoryId;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  std::vector<EdgeStrategy> m_EdgeStrategies;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> };</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> </div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> <span class="comment">// InputSlot inlines that need OutputSlot declaration.</span></div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div><div class="line"><a name="l00179"></a><span class="lineno"><a class="line" href="classarmnn_1_1_input_slot.xhtml#a0fe41ea612a97f8cd9b0e3e86d8b53fd"> 179</a></span> <span class="keyword">inline</span> <a class="code" href="classarmnn_1_1_input_slot.xhtml#a0fe41ea612a97f8cd9b0e3e86d8b53fd">InputSlot::~InputSlot</a>()</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> {</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">if</span> (m_Connection != <span class="keyword">nullptr</span>)</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="keywordflow">try</span></div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  {</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="comment">// Coverity fix: Disconnect() may throw uncaught exceptions.</span></div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  m_Connection->Disconnect(*<span class="keyword">this</span>);</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  }</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> std::exception& e)</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">// Coverity fix: BOOST_LOG_TRIVIAL (typically used to report errors) may throw an</span></div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="comment">// exception of type std::length_error.</span></div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="comment">// Using stderr instead in this context as there is no point in nesting try-catch blocks here.</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  std::cerr << <span class="stringliteral">"WARNING: An error has occurred when disconnecting an input slot: "</span></div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  << e.what() << std::endl;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  }</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  }</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> }</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> </div><div class="line"><a name="l00199"></a><span class="lineno"><a class="line" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f"> 199</a></span> <span class="keyword">inline</span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">IOutputSlot</a>* <a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">InputSlot::GetConnection</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>(); }</div><div class="line"><a name="l00200"></a><span class="lineno"><a class="line" href="classarmnn_1_1_input_slot.xhtml#afed01ea07472d9b32fac493e05bb0089"> 200</a></span> <span class="keyword">inline</span> <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">IOutputSlot</a>* <a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">InputSlot::GetConnection</a>() { <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>(); }</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> </div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.xhtml">ScopedCpuTensorHandle</a>;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> </div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> <span class="comment">// Base layer class</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> </div><div class="line"><a name="l00207"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2"> 207</a></span> <span class="keyword">using</span> <a class="code" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> = <span class="keywordtype">unsigned</span> int;</div><div class="line"><a name="l00208"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a2a5caf3721af872f43c7642fec9449bc"> 208</a></span> <span class="keyword">using</span> <a class="code" href="namespacearmnn.xhtml#a2a5caf3721af872f43c7642fec9449bc">AdditionalInfoObjectPtr</a> = std::shared_ptr<void>;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div><div class="line"><a name="l00210"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml"> 210</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a></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="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> <span class="comment"> /// @param name - Optional name for the layer (may be nullptr).</span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> <span class="comment"></span> <a class="code" href="namespacearmnn_serializer.xhtml#a9a8118be7780e95363d631cbca7e7800">Layer</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputSlots, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputSlots, <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type, <span class="keyword">const</span> <span class="keywordtype">char</span>* name);</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a9a8118be7780e95363d631cbca7e7800">Layer</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputSlots, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputSlots, <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type, <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> layout, <span class="keyword">const</span> <span class="keywordtype">char</span>* name);</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> </div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keywordtype">void</span> ExecuteStrategy(<a class="code" href="classarmnn_1_1_i_strategy.xhtml">IStrategy</a>& strategy) <span class="keyword">const override</span>;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> </div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div><div class="line"><a name="l00220"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a9a97cb6d32661a57fc33bd29b8e41ff4"> 220</a></span>  <span class="keyword">const</span> std::string& <a class="code" href="classarmnn_1_1_layer.xhtml#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordflow">return</span> m_LayerName;</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"><a class="line" href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256"> 225</a></span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_output_handler.xhtml">OutputHandler</a>& <a class="code" href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0)<span class="keyword"> const</span></div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keywordflow">return</span> m_OutputHandlers[i];</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  }</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> </div><div class="line"><a name="l00230"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a1d4e05c17647232c514cfe58ca80744a"> 230</a></span>  <a class="code" href="classarmnn_1_1_output_handler.xhtml">OutputHandler</a>& <a class="code" href="classarmnn_1_1_layer.xhtml#a1d4e05c17647232c514cfe58ca80744a">GetOutputHandler</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0)</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  {</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">return</span> <span class="keyword">const_cast<</span><a class="code" href="classarmnn_1_1_output_handler.xhtml">OutputHandler</a>&<span class="keyword">></span>(<span class="keyword">const_cast<</span><span class="keyword">const </span><a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>*<span class="keyword">></span>(<span class="keyword">this</span>)->GetOutputHandler(i));</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  }</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div><div class="line"><a name="l00235"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a3560e0733f829e5194887d014a133144"> 235</a></span>  <a class="code" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a> <a class="code" href="classarmnn_1_1_layer.xhtml#a3560e0733f829e5194887d014a133144">GetShapeInferenceMethod</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_ShapeInferenceMethod; };</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> </div><div class="line"><a name="l00237"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#af5f530544d09a44d726f24702b67b35b"> 237</a></span>  <span class="keyword">const</span> std::vector<InputSlot>& <a class="code" href="classarmnn_1_1_layer.xhtml#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_InputSlots; }</div><div class="line"><a name="l00238"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a98cdff4e0b45f4c80bfcedaf926e16e0"> 238</a></span>  <span class="keyword">const</span> std::vector<OutputSlot>& <a class="code" href="classarmnn_1_1_layer.xhtml#a98cdff4e0b45f4c80bfcedaf926e16e0">GetOutputSlots</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_OutputSlots; }</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> </div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="comment">// Allows non-const access to input slots, but don't expose vector (vector size is fixed at layer construction).</span></div><div class="line"><a name="l00241"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#af6cb8de21ef0da269ec9b67755ae92a0"> 241</a></span>  std::vector<InputSlot>::iterator <a class="code" href="classarmnn_1_1_layer.xhtml#af6cb8de21ef0da269ec9b67755ae92a0">BeginInputSlots</a>() { <span class="keywordflow">return</span> m_InputSlots.begin(); }</div><div class="line"><a name="l00242"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a9752e12d6b79e18da1a25f76159d2a72"> 242</a></span>  std::vector<InputSlot>::iterator <a class="code" href="classarmnn_1_1_layer.xhtml#a9752e12d6b79e18da1a25f76159d2a72">EndInputSlots</a>() { <span class="keywordflow">return</span> m_InputSlots.end(); }</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> </div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="comment">// Allows non-const access to output slots, but don't expose vector (vector size is fixed at layer construction).</span></div><div class="line"><a name="l00245"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a817d4be6dd88f532d36f51748ec14185"> 245</a></span>  std::vector<OutputSlot>::iterator <a class="code" href="classarmnn_1_1_layer.xhtml#a817d4be6dd88f532d36f51748ec14185">BeginOutputSlots</a>() { <span class="keywordflow">return</span> m_OutputSlots.begin(); }</div><div class="line"><a name="l00246"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a55f76d98fcd2f5cdac3e2b14536cb7ab"> 246</a></span>  std::vector<OutputSlot>::iterator <a class="code" href="classarmnn_1_1_layer.xhtml#a55f76d98fcd2f5cdac3e2b14536cb7ab">EndOutputSlots</a>() { <span class="keywordflow">return</span> m_OutputSlots.end(); }</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> </div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="comment">// Checks whether the outputs of this layer don't have any connection.</span></div><div class="line"><a name="l00249"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a22485f444124128940e798a42f0b76d9"> 249</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a22485f444124128940e798a42f0b76d9">IsOutputUnconnected</a>()</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numConnections = 0;</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> </div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& output : GetOutputSlots())</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>  numConnections += output.GetNumConnections();</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  }</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> </div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordflow">return</span> (GetNumOutputSlots() > 0) && (numConnections == 0);</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> </div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="comment">// Used for sorting.</span></div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordtype">void</span> ResetPriority() <span class="keyword">const</span>;</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <a class="code" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> GetPriority() <span class="keyword">const</span>;</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> </div><div class="line"><a name="l00265"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11"> 265</a></span>  <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> <a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>()<span class="keyword"> const override </span>{ <span class="keywordflow">return</span> m_Type; }</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>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> GetDataType() <span class="keyword">const</span>;</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> </div><div class="line"><a name="l00269"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e"> 269</a></span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.xhtml">BackendId</a>& <a class="code" href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_BackendId; }</div><div class="line"><a name="l00270"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a3f6ad59212fa8a47c9265162fff8a274"> 270</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a3f6ad59212fa8a47c9265162fff8a274">SetBackendId</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.xhtml">BackendId</a>& <span class="keywordtype">id</span>) { m_BackendId = id; }</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> </div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="comment">// Virtuals</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>  <span class="keyword">virtual</span> std::unique_ptr<IWorkload> <a class="code" href="_elementwise_test_impl_8hpp.xhtml#ab6921db5d86507f5b126af1cc516adb9">CreateWorkload</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a>& factory) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> </div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> CreateTensorHandles(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a>& registry,</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a>& factory,</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> IsMemoryManaged = <span class="keyword">true</span>);</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="comment"></span></div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> <span class="comment"> /// Creates a dynamically-allocated copy of this layer.</span></div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span> <span class="comment"> /// @param graph - The Graph into which this Layer is being cloned.</span></div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> <span class="comment"></span> <span class="keyword">virtual</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* Clone(<a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& graph) <span class="keyword">const</span> = 0;</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="keywordtype">void</span> VerifyLayerConnections(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> expectedConnections, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_check_location.xhtml">CheckLocation</a>& location) <span class="keyword">const</span>;</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span> </div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> ValidateTensorShapesFromInputs() = 0;</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span> </div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  std::vector<TensorShape> InferOutputShapes(<span class="keyword">const</span> std::vector<TensorShape>& inputShapes) <span class="keyword">const override</span>;</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> <span class="comment"></span></div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span> <span class="comment"> /// Helper to serialize the layer parameters to string.</span></div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> <span class="comment"> /// (currently used in DotSerializer and company).</span></div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span> <span class="comment"></span> <span class="keyword">virtual</span> <span class="keywordtype">void</span> SerializeLayerParameters(<a class="code" href="namespacearmnn.xhtml#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a>& fn) <span class="keyword">const</span>;</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>  <span class="comment">// Free up the constant source data</span></div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> ReleaseConstantData();</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> </div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Op></div><div class="line"><a name="l00298"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a386acff5f8430245239ce58d00ba7576"> 298</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a386acff5f8430245239ce58d00ba7576">OperateOnConstantTensors</a>(Op op)</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">for</span> (<span class="keyword">auto</span> constant : GetConstantTensorsByRef())</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>  <span class="keywordflow">if</span> (constant.get())</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  {</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  op(constant);</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>  }</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  };</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span> </div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="comment">// IConnectableLayer</span></div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> </div><div class="line"><a name="l00311"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0"> 311</a></span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* <a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>()<span class="keyword"> const override </span>{ <span class="keywordflow">return</span> m_LayerName.c_str(); }</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> </div><div class="line"><a name="l00313"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26"> 313</a></span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>()<span class="keyword"> const override </span>{ <span class="keywordflow">return</span> <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(m_InputSlots.size()); }</div><div class="line"><a name="l00314"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb"> 314</a></span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>()<span class="keyword"> const override </span>{ <span class="keywordflow">return</span> <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(m_OutputSlots.size()); }</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span> </div><div class="line"><a name="l00316"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375"> 316</a></span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>& <a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index)<span class="keyword"> const override </span>{ <span class="keywordflow">return</span> m_InputSlots.at(index); }</div><div class="line"><a name="l00317"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a1b50eb1358cdf382f4bc3fc8849f8e8e"> 317</a></span>  <a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>& <a class="code" href="classarmnn_1_1_layer.xhtml#a1b50eb1358cdf382f4bc3fc8849f8e8e">GetInputSlot</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index)<span class="keyword"> override </span>{ <span class="keywordflow">return</span> m_InputSlots.at(index); }</div><div class="line"><a name="l00318"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe"> 318</a></span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& <a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index = 0)<span class="keyword"> const override </span>{ <span class="keywordflow">return</span> m_OutputSlots.at(index); }</div><div class="line"><a name="l00319"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#abbd71844785bb2f00a81baca30ea5ff0"> 319</a></span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& <a class="code" href="classarmnn_1_1_layer.xhtml#abbd71844785bb2f00a81baca30ea5ff0">GetOutputSlot</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index = 0)<span class="keyword"> override </span>{ <span class="keywordflow">return</span> m_OutputSlots.at(index); }</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span> </div><div class="line"><a name="l00321"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a6d1024208b672a87ef2c1bfaf93d2b9f"> 321</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a6d1024208b672a87ef2c1bfaf93d2b9f">SetGuid</a>(<a class="code" href="classarmnn_1_1profiling_1_1_profiling_guid.xhtml">LayerGuid</a> guid) { m_Guid = guid; }</div><div class="line"><a name="l00322"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a8dc12f0ee5b232d397bd18ced1a72a64"> 322</a></span>  <a class="code" href="classarmnn_1_1profiling_1_1_profiling_guid.xhtml">LayerGuid</a> <a class="code" href="classarmnn_1_1_layer.xhtml#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>() const final { <span class="keywordflow">return</span> m_Guid; }</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> </div><div class="line"><a name="l00324"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a339248d89d5e21534ecf74b4393ed4d2"> 324</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a339248d89d5e21534ecf74b4393ed4d2">AddRelatedLayerName</a>(<span class="keyword">const</span> std::string layerName) { m_RelatedLayerNames.emplace_back(layerName); }</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> </div><div class="line"><a name="l00326"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a5e5520194ea4042fe07b0bf53c28f634"> 326</a></span>  <span class="keyword">const</span> std::list<std::string>& <a class="code" href="classarmnn_1_1_layer.xhtml#a5e5520194ea4042fe07b0bf53c28f634">GetRelatedLayerNames</a>() { <span class="keywordflow">return</span> m_RelatedLayerNames; }</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span> </div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> Reparent(<a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& dest, std::list<Layer*>::const_iterator iterator) = 0;</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> </div><div class="line"><a name="l00330"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a43a46eafee5c08787ab17b4342730c20"> 330</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a43a46eafee5c08787ab17b4342730c20">BackendSelectionHint</a>(<a class="code" href="classarmnn_1_1_optional.xhtml">Optional<BackendId></a> backend) <span class="keyword">final</span></div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  {</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  m_BackendHint = backend;</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  }</div><div class="line"><a name="l00334"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a6ff80e440308295056b57e2adaa42888"> 334</a></span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<BackendId></a> <a class="code" href="classarmnn_1_1_layer.xhtml#a6ff80e440308295056b57e2adaa42888">GetBackendHint</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_BackendHint; }</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span> </div><div class="line"><a name="l00336"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a429abdfa769f4d48268938dcaea00904"> 336</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a429abdfa769f4d48268938dcaea00904">SetShapeInferenceMethod</a>(<a class="code" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a> shapeInferenceMethod)</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  {</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  m_ShapeInferenceMethod = shapeInferenceMethod;</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  }</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> </div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keyword">template</span><<span class="keyword">typename</span> T></div><div class="line"><a name="l00342"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#aefb14147290b6b928c5fc924ba035acc"> 342</a></span>  std::shared_ptr<T> <a class="code" href="classarmnn_1_1_layer.xhtml#aefb14147290b6b928c5fc924ba035acc">GetAdditionalInformation</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keywordflow">return</span> std::static_pointer_cast<T>(m_AdditionalInfoObject);</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  }</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> </div><div class="line"><a name="l00347"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#aea1c8483ebeabc0dcbd9090b4f648f1d"> 347</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#aea1c8483ebeabc0dcbd9090b4f648f1d">SetAdditionalInfoForObject</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a2a5caf3721af872f43c7642fec9449bc">AdditionalInfoObjectPtr</a>& additionalInfo)</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  {</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  m_AdditionalInfoObject = additionalInfo;</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  }</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="keyword">protected</span>:</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="comment">// Graph needs access to the virtual destructor.</span></div><div class="line"><a name="l00354"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#afab89afd724f1b07b1aaad6bdc61c47a"> 354</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>;</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keyword">virtual</span> ~<a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> </div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> QueueDescriptor></div><div class="line"><a name="l00358"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#afc3239f5fc116259bf5451964e803646"> 358</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#afc3239f5fc116259bf5451964e803646">CollectQueueDescriptorInputs</a>(<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a>& descriptor, <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)<span class="keyword"> const</span></div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <a class="code" href="classarmnn_1_1_workload_data_collector.xhtml">WorkloadDataCollector</a> dataCollector(descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>, info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>);</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  CollectWorkloadInputs(dataCollector);</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  }</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> </div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> QueueDescriptor></div><div class="line"><a name="l00365"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a499ca5a94d0174ed21786b6994b2cd8c"> 365</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a499ca5a94d0174ed21786b6994b2cd8c">CollectQueueDescriptorOutputs</a>(<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a>& descriptor, <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)<span class="keyword"> const</span></div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <a class="code" href="classarmnn_1_1_workload_data_collector.xhtml">WorkloadDataCollector</a> dataCollector(descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>, info.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>);</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  CollectWorkloadOutputs(dataCollector);</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>  <span class="keywordtype">void</span> ValidateAndCopyShape(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& outputShape,</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& inferredShape,</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a> shapeInferenceMethod,</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keyword">const</span> std::string& layerName,</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputSlotIndex = 0);</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="keywordtype">void</span> VerifyShapeInferenceType(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& outputShape, <a class="code" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a> shapeInferenceMethod);</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span> <span class="comment"></span></div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span> <span class="comment"> /// Helper function to reduce duplication in *Layer::CreateWorkload.</span></div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span> <span class="comment"></span> <span class="keyword">template</span> <<span class="keyword">typename</span> QueueDescriptor></div><div class="line"><a name="l00381"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a30a858b2b26d651a066537e499fbf40d"> 381</a></span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> <a class="code" href="classarmnn_1_1_layer.xhtml#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a>& descriptor)<span class="keyword"> const</span></div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  CollectQueueDescriptorInputs(descriptor, info);</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  CollectQueueDescriptorOutputs(descriptor, info);</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</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> </div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>, <span class="keyword">typename</span> ... Params></div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>* CloneBase(<a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& graph, Params&& ... params) <span class="keyword">const</span>;</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span> </div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="comment">// Retrieve the Handles to the constants</span></div><div class="line"><a name="l00393"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1"> 393</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1">ConstantTensors</a> = std::vector<std::reference_wrapper<std::unique_ptr<ScopedCpuTensorHandle>>>;</div><div class="line"><a name="l00394"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#ac7170f79bd0eadb1b6153e359c023cc0"> 394</a></span>  <span class="keyword">virtual</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1">ConstantTensors</a> GetConstantTensorsByRef() {<span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1">ConstantTensors</a>(); };</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="comment">// "Blob"</span></div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <a class="code" href="namespacearmnn.xhtml#a2a5caf3721af872f43c7642fec9449bc">AdditionalInfoObjectPtr</a> <a class="code" href="classarmnn_1_1_layer.xhtml#ac7170f79bd0eadb1b6153e359c023cc0">m_AdditionalInfoObject</a>;</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> </div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="comment">// Utility method to set a pointer in the queueDescriptor to the "blob" location in the layer</span></div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="keywordtype">void</span> SetAdditionalInfo(<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a>& descriptor) <span class="keyword">const</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> <span class="keyword">private</span>:</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keywordtype">void</span> CollectWorkloadInputs(<a class="code" href="classarmnn_1_1_workload_data_collector.xhtml">WorkloadDataCollector</a>& dataCollector) <span class="keyword">const</span>;</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="keywordtype">void</span> CollectWorkloadOutputs(<a class="code" href="classarmnn_1_1_workload_data_collector.xhtml">WorkloadDataCollector</a>& dataCollector) <span class="keyword">const</span>;</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span> </div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span> <span class="keyword">protected</span>:</div><div class="line"><a name="l00407"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#aa44d91037bba52ba0dec6577509ade3b"> 407</a></span>  std::vector<OutputHandler> <a class="code" href="classarmnn_1_1_layer.xhtml#aa44d91037bba52ba0dec6577509ade3b">m_OutputHandlers</a>;</div><div class="line"><a name="l00408"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec"> 408</a></span>  <a class="code" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a> <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</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> <span class="keyword">private</span>:</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keyword">const</span> std::string m_LayerName;</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>  std::vector<InputSlot> m_InputSlots;</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  std::vector<OutputSlot> m_OutputSlots;</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="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> m_Type;</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <a class="code" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> m_BackendId;</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<BackendId></a> m_BackendHint;</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span> <span class="comment"></span></div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span> <span class="comment"> /// Used for sorting.</span></div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> <span class="comment"></span> <span class="keyword">mutable</span> <a class="code" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> m_Priority = 0;</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="keyword">mutable</span> <span class="keywordtype">bool</span> m_Visiting = <span class="keyword">false</span>;</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span> </div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <a class="code" href="classarmnn_1_1profiling_1_1_profiling_guid.xhtml">LayerGuid</a> m_Guid;</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>  std::list<std::string> m_RelatedLayerNames;</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span> </div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span> };</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> <span class="comment">// A layer user-provided data can be bound to (e.g. inputs, outputs).</span></div><div class="line"><a name="l00431"></a><span class="lineno"><a class="line" href="classarmnn_1_1_bindable_layer.xhtml"> 431</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_bindable_layer.xhtml">BindableLayer</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a></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> <span class="keyword">public</span>:</div><div class="line"><a name="l00434"></a><span class="lineno"><a class="line" href="classarmnn_1_1_bindable_layer.xhtml#aa25fc28ef0074b440d78a6371ab08fb1"> 434</a></span>  <a class="code" href="classarmnn_1_1_bindable_layer.xhtml#aa25fc28ef0074b440d78a6371ab08fb1">BindableLayer</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputSlots,</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputSlots,</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type,</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name,</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> <span class="keywordtype">id</span>)</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  : <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>(numInputSlots, numOutputSlots, type, name)</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  , m_Id(id)</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  {</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  }</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span> </div><div class="line"><a name="l00444"></a><span class="lineno"><a class="line" href="classarmnn_1_1_bindable_layer.xhtml#a7352bd7421ce8b5e86281b995848ed82"> 444</a></span>  <a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> <a class="code" href="classarmnn_1_1_bindable_layer.xhtml#a7352bd7421ce8b5e86281b995848ed82">GetBindingId</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_Id; };</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_bindable_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc"> 446</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_bindable_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.xhtml">IStrategy</a>& strategy)<span class="keyword"> const override</span></div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  strategy.<a class="code" href="classarmnn_1_1_i_strategy.xhtml#aad5bb4d8050fd428ff03ae6d81e3014c">ExecuteStrategy</a>(<span class="keyword">this</span>, <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(), {}, GetName(), GetBindingId());</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  }</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="keyword">protected</span>:</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  ~<a class="code" href="classarmnn_1_1_bindable_layer.xhtml">BindableLayer</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span> </div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> m_Id;</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span> };</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span> </div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span> }</div><div class="ttc" id="_ignore_unused_8hpp_xhtml"><div class="ttname"><a href="_ignore_unused_8hpp.xhtml">IgnoreUnused.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a9752e12d6b79e18da1a25f76159d2a72"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a9752e12d6b79e18da1a25f76159d2a72">armnn::Layer::EndInputSlots</a></div><div class="ttdeci">std::vector< InputSlot >::iterator EndInputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00242">Layer.hpp:242</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_afc3239f5fc116259bf5451964e803646"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#afc3239f5fc116259bf5451964e803646">armnn::Layer::CollectQueueDescriptorInputs</a></div><div class="ttdeci">void CollectQueueDescriptorInputs(QueueDescriptor &descriptor, WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00358">Layer.hpp:358</a></div></div>
<div class="ttc" id="_workload_data_8hpp_xhtml"><div class="ttname"><a href="_workload_data_8hpp.xhtml">WorkloadData.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a50b562d4a4edc64d7d8abcca056f0b8c"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a50b562d4a4edc64d7d8abcca056f0b8c">armnn::OutputSlot::GetConnections</a></div><div class="ttdeci">const std::vector< InputSlot * > & GetConnections() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00125">Layer.hpp:125</a></div></div>
<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a5a0a7224d93d14db044426a3878dab4d"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a5a0a7224d93d14db044426a3878dab4d">armnn::InputSlot::Insert</a></div><div class="ttdeci">void Insert(Layer &layer)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00020">Layer.cpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_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#l00062">INetwork.hpp:62</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00050">Types.hpp:50</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_abc0660dc440c8a285b456c9ef6383c26"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">armnn::Layer::GetNumInputSlots</a></div><div class="ttdeci">unsigned int GetNumInputSlots() const override</div><div class="ttdoc">Returns the number of connectable input slots. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00313">Layer.hpp:313</a></div></div>
<div class="ttc" id="_tensor_8hpp_xhtml"><div class="ttname"><a href="_tensor_8hpp.xhtml">Tensor.hpp</a></div></div>
<div class="ttc" id="_elementwise_test_impl_8hpp_xhtml_ab6921db5d86507f5b126af1cc516adb9"><div class="ttname"><a href="_elementwise_test_impl_8hpp.xhtml#ab6921db5d86507f5b126af1cc516adb9">CreateWorkload</a></div><div class="ttdeci">std::unique_ptr< armnn::IWorkload > CreateWorkload(const armnn::IWorkloadFactory &workloadFactory, const armnn::WorkloadInfo &info, const DescriptorType &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_test_impl_8hpp_source.xhtml#l00027">ElementwiseTestImpl.hpp:27</a></div></div>
<div class="ttc" id="classarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00270">Optional.hpp:270</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a6ff80e440308295056b57e2adaa42888"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a6ff80e440308295056b57e2adaa42888">armnn::Layer::GetBackendHint</a></div><div class="ttdeci">Optional< BackendId > GetBackendHint() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00334">Layer.hpp:334</a></div></div>
<div class="ttc" id="_workload_data_collector_8hpp_xhtml"><div class="ttname"><a href="_workload_data_collector_8hpp.xhtml">WorkloadDataCollector.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a339248d89d5e21534ecf74b4393ed4d2"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a339248d89d5e21534ecf74b4393ed4d2">armnn::Layer::AddRelatedLayerName</a></div><div class="ttdeci">void AddRelatedLayerName(const std::string layerName)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00324">Layer.hpp:324</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a43a46eafee5c08787ab17b4342730c20"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a43a46eafee5c08787ab17b4342730c20">armnn::Layer::BackendSelectionHint</a></div><div class="ttdeci">void BackendSelectionHint(Optional< BackendId > backend) final</div><div class="ttdoc">Provide a hint for the optimizer as to which backend to prefer for this 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="classarmnn_1_1_layer_xhtml_a429abdfa769f4d48268938dcaea00904"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a429abdfa769f4d48268938dcaea00904">armnn::Layer::SetShapeInferenceMethod</a></div><div class="ttdeci">void SetShapeInferenceMethod(ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00336">Layer.hpp:336</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a29ce2fa137002ecdafe9ad28e441a36d"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a29ce2fa137002ecdafe9ad28e441a36d">armnn::OutputSlot::GetEdgeStrategies</a></div><div class="ttdeci">const std::vector< EdgeStrategy > & GetEdgeStrategies() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00126">Layer.hpp:126</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.xhtml#l00022">WorkloadFactory.hpp:22</a></div></div>
<div class="ttc" id="classarmnn_1_1_bindable_layer_xhtml_a7352bd7421ce8b5e86281b995848ed82"><div class="ttname"><a href="classarmnn_1_1_bindable_layer.xhtml#a7352bd7421ce8b5e86281b995848ed82">armnn::BindableLayer::GetBindingId</a></div><div class="ttdeci">LayerBindingId GetBindingId() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00444">Layer.hpp:444</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml">armnn::QueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00028">WorkloadData.hpp:28</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a386acff5f8430245239ce58d00ba7576"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a386acff5f8430245239ce58d00ba7576">armnn::Layer::OperateOnConstantTensors</a></div><div class="ttdeci">void OperateOnConstantTensors(Op op)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00298">Layer.hpp:298</a></div></div>
<div class="ttc" id="classarmnn_1_1_bindable_layer_xhtml_a46fc3fdd4b2a5dd6d184e57983cf20bc"><div class="ttname"><a href="classarmnn_1_1_bindable_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">armnn::BindableLayer::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) const override</div><div class="ttdoc">Apply a visitor to this layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00446">Layer.hpp:446</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_abbd71844785bb2f00a81baca30ea5ff0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#abbd71844785bb2f00a81baca30ea5ff0">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">OutputSlot & GetOutputSlot(unsigned int index=0) override</div><div class="ttdoc">Get the output slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00319">Layer.hpp:319</a></div></div>
<div class="ttc" id="namespacearmnn_serializer_xhtml_a9a8118be7780e95363d631cbca7e7800"><div class="ttname"><a href="namespacearmnn_serializer.xhtml#a9a8118be7780e95363d631cbca7e7800">armnnSerializer::Layer</a></div><div class="ttdeci">Layer</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_schema__generated_8h_source.xhtml#l01144">ArmnnSchema_generated.h:1144</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a7ddaf04177053a536f0e7be83a642bc6"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">armnn::OutputSlot::GetOwningLayer</a></div><div class="ttdeci">Layer & GetOwningLayer() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00115">Layer.hpp:115</a></div></div>
<div class="ttc" id="classarmnn_1_1_bindable_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_bindable_layer.xhtml">armnn::BindableLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00431">Layer.hpp:431</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_strategy_xhtml_aad5bb4d8050fd428ff03ae6d81e3014c"><div class="ttname"><a href="classarmnn_1_1_i_strategy.xhtml#aad5bb4d8050fd428ff03ae6d81e3014c">armnn::IStrategy::ExecuteStrategy</a></div><div class="ttdeci">virtual void ExecuteStrategy(const armnn::IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0</div></div>
<div class="ttc" id="classarmnn_1_1profiling_1_1_profiling_guid_xhtml"><div class="ttname"><a href="classarmnn_1_1profiling_1_1_profiling_guid.xhtml">armnn::profiling::ProfilingGuid</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00291">Types.hpp:291</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a3560e0733f829e5194887d014a133144"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a3560e0733f829e5194887d014a133144">armnn::Layer::GetShapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod GetShapeInferenceMethod() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00235">Layer.hpp:235</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a419086ecb4dc9d0f9e5d8933c87e2ea2"><div class="ttname"><a href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">armnn::LayerPriority</a></div><div class="ttdeci">unsigned int LayerPriority</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00207">Layer.hpp:207</a></div></div>
<div class="ttc" id="classarmnn_1_1_input_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml">armnn::InputSlot</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00041">Layer.hpp:41</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_acecc5f85737e89526b0fd2bc4a9cfb9a"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#acecc5f85737e89526b0fd2bc4a9cfb9a">armnn::OutputSlot::Disconnect</a></div><div class="ttdeci">void Disconnect(IInputSlot &slot) override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00151">Layer.hpp:151</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a1a173e83ec6aa1f55c7c23707a668a60"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a1a173e83ec6aa1f55c7c23707a668a60">armnn::OutputSlot::Connect</a></div><div class="ttdeci">int Connect(IInputSlot &destination) override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00146">Layer.hpp:146</a></div></div>
<div class="ttc" id="namespacearmnn_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__software__tools_8dox_source.xhtml#l00006">01_00_software_tools.dox:6</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a3f6ad59212fa8a47c9265162fff8a274"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a3f6ad59212fa8a47c9265162fff8a274">armnn::Layer::SetBackendId</a></div><div class="ttdeci">void SetBackendId(const BackendId &id)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00270">Layer.hpp:270</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_af5f530544d09a44d726f24702b67b35b"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af5f530544d09a44d726f24702b67b35b">armnn::Layer::GetInputSlots</a></div><div class="ttdeci">const std::vector< InputSlot > & GetInputSlots() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00237">Layer.hpp:237</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a3153abb7c0c0a84629079b2fac7db54f"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">armnn::InputSlot::GetConnection</a></div><div class="ttdeci">const IOutputSlot * GetConnection() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00199">Layer.hpp:199</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a22485f444124128940e798a42f0b76d9"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a22485f444124128940e798a42f0b76d9">armnn::Layer::IsOutputUnconnected</a></div><div class="ttdeci">bool IsOutputUnconnected()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00249">Layer.hpp:249</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a1594bddc87d6477df300317658f566bb"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">armnn::Layer::GetNumOutputSlots</a></div><div class="ttdeci">unsigned int GetNumOutputSlots() const override</div><div class="ttdoc">Returns the number of connectable output slots. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00314">Layer.hpp:314</a></div></div>
<div class="ttc" id="_internal_types_8hpp_xhtml"><div class="ttname"><a href="_internal_types_8hpp.xhtml">InternalTypes.hpp</a></div></div>
<div class="ttc" id="_serialize_layer_parameters_8hpp_xhtml"><div class="ttname"><a href="_serialize_layer_parameters_8hpp.xhtml">SerializeLayerParameters.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ab8cf8f9fb6792e654c2d8d8382f6f01b"><div class="ttname"><a href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a></div><div class="ttdeci">int LayerBindingId</div><div class="ttdoc">Type of identifiers for bindable layers (inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00210">Types.hpp:210</a></div></div>
<div class="ttc" id="_numeric_cast_8hpp_xhtml"><div class="ttname"><a href="_numeric_cast_8hpp.xhtml">NumericCast.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_workload_data_collector_xhtml"><div class="ttname"><a href="classarmnn_1_1_workload_data_collector.xhtml">armnn::WorkloadDataCollector</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_collector_8hpp_source.xhtml#l00015">WorkloadDataCollector.hpp:15</a></div></div>
<div class="ttc" id="structarmnn_1_1_base_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_base_descriptor.xhtml">armnn::BaseDescriptor</a></div><div class="ttdoc">Base class for all descriptors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00022">Descriptors.hpp:22</a></div></div>
<div class="ttc" id="_polymorphic_downcast_8hpp_xhtml"><div class="ttname"><a href="_polymorphic_downcast_8hpp.xhtml">PolymorphicDowncast.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_af6cb8de21ef0da269ec9b67755ae92a0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af6cb8de21ef0da269ec9b67755ae92a0">armnn::Layer::BeginInputSlots</a></div><div class="ttdeci">std::vector< InputSlot >::iterator BeginInputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00241">Layer.hpp:241</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a2a5caf3721af872f43c7642fec9449bc"><div class="ttname"><a href="namespacearmnn.xhtml#a2a5caf3721af872f43c7642fec9449bc">armnn::AdditionalInfoObjectPtr</a></div><div class="ttdeci">std::shared_ptr< void > AdditionalInfoObjectPtr</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00208">Layer.hpp:208</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_strategy_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_strategy.xhtml">armnn::IStrategy</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_strategy_8hpp_source.xhtml#l00013">IStrategy.hpp:13</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a25b0119c02aece1d341b99953d169c0f"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a25b0119c02aece1d341b99953d169c0f">armnn::OutputSlot::GetNumConnections</a></div><div class="ttdeci">unsigned int GetNumConnections() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00138">Layer.hpp:138</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00316">Layer.hpp:316</a></div></div>
<div class="ttc" id="structarmnn_1_1_workload_info_xhtml_ac97905bfa0daab357b91df1347600309"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">armnn::WorkloadInfo::m_InputTensorInfos</a></div><div class="ttdeci">std::vector< TensorInfo > m_InputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00018">WorkloadInfo.hpp:18</a></div></div>
<div class="ttc" id="namespacearmnn_utils_xhtml_a49ba5984d8cde4299d8ef15c9e556587"><div class="ttname"><a href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">armnnUtils::operator==</a></div><div class="ttdeci">bool operator==(const armnn::DataLayout &dataLayout, const DataLayoutIndexed &indexed)</div><div class="ttdoc">Equality methods. </div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8cpp_source.xhtml#l00034">DataLayoutIndexed.cpp:34</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00032">Types.hpp:32</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a6d1024208b672a87ef2c1bfaf93d2b9f"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a6d1024208b672a87ef2c1bfaf93d2b9f">armnn::Layer::SetGuid</a></div><div class="ttdeci">void SetGuid(LayerGuid guid)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00321">Layer.hpp:321</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_ac7170f79bd0eadb1b6153e359c023cc0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#ac7170f79bd0eadb1b6153e359c023cc0">armnn::Layer::m_AdditionalInfoObject</a></div><div class="ttdeci">AdditionalInfoObjectPtr m_AdditionalInfoObject</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00394">Layer.hpp:394</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a30a858b2b26d651a066537e499fbf40d">armnn::Layer::PrepInfoAndDesc</a></div><div class="ttdeci">WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const</div><div class="ttdoc">Helper function to reduce duplication in *LayerCreateWorkload. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00381">Layer.hpp:381</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a></div><div class="ttdoc">An output connection slot for a layer. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00038">INetwork.hpp:38</a></div></div>
<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a86682888c4c0161a95a080ec1fc91892"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a86682888c4c0161a95a080ec1fc91892">armnn::InputSlot::InputSlot</a></div><div class="ttdeci">InputSlot(Layer &owner, unsigned int slotIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00044">Layer.hpp:44</a></div></div>
<div class="ttc" id="_types_8hpp_xhtml"><div class="ttname"><a href="_types_8hpp.xhtml">Types.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a3f1b6ae1550775ac9eef0cac0ea4266f"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a3f1b6ae1550775ac9eef0cac0ea4266f">armnn::InputSlot::GetSlotIndex</a></div><div class="ttdeci">unsigned int GetSlotIndex() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00053">Layer.hpp:53</a></div></div>
<div class="ttc" id="structarmnn_1_1_check_location_xhtml"><div class="ttname"><a href="structarmnn_1_1_check_location.xhtml">armnn::CheckLocation</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00014">Exceptions.hpp:14</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a9a97cb6d32661a57fc33bd29b8e41ff4"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a9a97cb6d32661a57fc33bd29b8e41ff4">armnn::Layer::GetNameStr</a></div><div class="ttdeci">const std::string & GetNameStr() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00220">Layer.hpp:220</a></div></div>
<div class="ttc" id="classarmnn_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#l00265">Layer.hpp:265</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml">armnn::OutputSlot</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00083">Layer.hpp:83</a></div></div>
<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a9effd325a6d512a3f8ff4bd207d53255"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">armnn::InputSlot::GetConnectedOutputSlot</a></div><div class="ttdeci">const OutputSlot * GetConnectedOutputSlot() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00055">Layer.hpp:55</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_handler_xhtml"><div class="ttname"><a href="classarmnn_1_1_output_handler.xhtml">armnn::OutputHandler</a></div><div class="ttdef"><b>Definition:</b> <a href="_output_handler_8hpp_source.xhtml#l00028">OutputHandler.hpp:28</a></div></div>
<div class="ttc" id="structarmnn_1_1_workload_info_xhtml_a67b178f8a836bc1e52b8de109760adfd"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">armnn::WorkloadInfo::m_OutputTensorInfos</a></div><div class="ttdeci">std::vector< TensorInfo > m_OutputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00019">WorkloadInfo.hpp:19</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a1b50eb1358cdf382f4bc3fc8849f8e8e"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a1b50eb1358cdf382f4bc3fc8849f8e8e">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">InputSlot & GetInputSlot(unsigned int index) override</div><div class="ttdoc">Get the input slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00317">Layer.hpp:317</a></div></div>
<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a7ddaf04177053a536f0e7be83a642bc6"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">armnn::InputSlot::GetOwningLayer</a></div><div class="ttdeci">Layer & GetOwningLayer() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00052">Layer.hpp:52</a></div></div>
<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div>
<div class="ttc" id="_output_handler_8hpp_xhtml"><div class="ttname"><a href="_output_handler_8hpp.xhtml">OutputHandler.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_ad5b716c1973e8476e5c338815aaeaac8"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#ad5b716c1973e8476e5c338815aaeaac8">armnn::InputSlot::GetConnectedOutputSlot</a></div><div class="ttdeci">OutputSlot * GetConnectedOutputSlot()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00056">Layer.hpp:56</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_afdb1d37740e7a083b625d669588b6a0e"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">armnn::Layer::GetBackendId</a></div><div class="ttdeci">const BackendId & GetBackendId() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00269">Layer.hpp:269</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_aa44d91037bba52ba0dec6577509ade3b"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aa44d91037bba52ba0dec6577509ade3b">armnn::Layer::m_OutputHandlers</a></div><div class="ttdeci">std::vector< OutputHandler > m_OutputHandlers</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00407">Layer.hpp:407</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00029">Graph.hpp:29</a></div></div>
<div class="ttc" id="classarmnn_1_1_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#l00238">Layer.hpp:238</a></div></div>
<div class="ttc" id="classarmnn_1_1_bindable_layer_xhtml_aa25fc28ef0074b440d78a6371ab08fb1"><div class="ttname"><a href="classarmnn_1_1_bindable_layer.xhtml#aa25fc28ef0074b440d78a6371ab08fb1">armnn::BindableLayer::BindableLayer</a></div><div class="ttdeci">BindableLayer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name, LayerBindingId id)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00434">Layer.hpp:434</a></div></div>
<div class="ttc" id="_i_network_8hpp_xhtml"><div class="ttname"><a href="_i_network_8hpp.xhtml">INetwork.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_aea1c8483ebeabc0dcbd9090b4f648f1d"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aea1c8483ebeabc0dcbd9090b4f648f1d">armnn::Layer::SetAdditionalInfoForObject</a></div><div class="ttdeci">void SetAdditionalInfoForObject(const AdditionalInfoObjectPtr &additionalInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00347">Layer.hpp:347</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a5e5520194ea4042fe07b0bf53c28f634"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a5e5520194ea4042fe07b0bf53c28f634">armnn::Layer::GetRelatedLayerNames</a></div><div class="ttdeci">const std::list< std::string > & GetRelatedLayerNames()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00326">Layer.hpp:326</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_handle_factory_registry_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">armnn::TensorHandleFactoryRegistry</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8hpp_source.xhtml#l00020">TensorHandleFactoryRegistry.hpp:20</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_aff209afc1dc598da399e3e78617ce016"><div class="ttname"><a href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016">armnn::EdgeStrategy</a></div><div class="ttdeci">EdgeStrategy</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00099">ITensorHandleFactory.hpp:99</a></div></div>
<div class="ttc" id="classarmnn_1_1_scoped_cpu_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_scoped_cpu_tensor_handle.xhtml">armnn::ScopedCpuTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00106">CpuTensorHandle.hpp:106</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a817d4be6dd88f532d36f51748ec14185"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a817d4be6dd88f532d36f51748ec14185">armnn::Layer::BeginOutputSlots</a></div><div class="ttdeci">std::vector< OutputSlot >::iterator BeginOutputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00245">Layer.hpp:245</a></div></div>
<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a0fe41ea612a97f8cd9b0e3e86d8b53fd"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a0fe41ea612a97f8cd9b0e3e86d8b53fd">armnn::InputSlot::~InputSlot</a></div><div class="ttdeci">~InputSlot()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00179">Layer.hpp:179</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00031">WorkloadData.hpp:31</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a499ca5a94d0174ed21786b6994b2cd8c"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a499ca5a94d0174ed21786b6994b2cd8c">armnn::Layer::CollectQueueDescriptorOutputs</a></div><div class="ttdeci">void CollectQueueDescriptorOutputs(QueueDescriptor &descriptor, WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00365">Layer.hpp:365</a></div></div>
<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_ae34c07e230a32ea853faed3fefc804f3"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#ae34c07e230a32ea853faed3fefc804f3">armnn::InputSlot::SetConnection</a></div><div class="ttdeci">void SetConnection(OutputSlot *source)</div><div class="ttdoc">Links the slot to an output slot or breaks an existing link if passing nullptr. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00059">Layer.hpp:59</a></div></div>
<div class="ttc" id="_layer_fwd_8hpp_xhtml"><div class="ttname"><a href="_layer_fwd_8hpp.xhtml">LayerFwd.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_af2c0edc7ea62a8baaec4d3d9b2b09256"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">armnn::Layer::GetOutputHandler</a></div><div class="ttdeci">const OutputHandler & GetOutputHandler(unsigned int i=0) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00225">Layer.hpp:225</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00041">ITensorHandleFactory.hpp:41</a></div></div>
<div class="ttc" id="src_2backends_2backends_common_2_workload_info_8hpp_xhtml"><div class="ttname"><a href="src_2backends_2backends_common_2_workload_info_8hpp.xhtml">WorkloadInfo.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a32f4aa6a7089d877af08928139c2c277"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">armnn::ITensorHandleFactory::FactoryId</a></div><div class="ttdeci">std::string FactoryId</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00044">ITensorHandleFactory.hpp:44</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a55f76d98fcd2f5cdac3e2b14536cb7ab"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a55f76d98fcd2f5cdac3e2b14536cb7ab">armnn::Layer::EndOutputSlots</a></div><div class="ttdeci">std::vector< OutputSlot >::iterator EndOutputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00246">Layer.hpp:246</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a375ca3cff9f1b005d1412dc5f3cf5b6e"><div class="ttname"><a href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a></div><div class="ttdeci">std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)</div><div class="ttdef"><b>Definition:</b> <a href="_numeric_cast_8hpp_source.xhtml#l00035">NumericCast.hpp:35</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00318">Layer.hpp:318</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a992cd5ce1cd4a8b10eebebee27ba044b"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a992cd5ce1cd4a8b10eebebee27ba044b">armnn::OutputSlot::GetOutputHandler</a></div><div class="ttdeci">OutputHandler & GetOutputHandler()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00120">Layer.hpp:120</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a4e6d051d886332fd09b56ae125871a33"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a4e6d051d886332fd09b56ae125871a33">armnn::OutputSlot::OutputSlot</a></div><div class="ttdeci">OutputSlot(Layer &owner, OutputHandler &outputHandler)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00086">Layer.hpp:86</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_ab00cd1d8962a1927d0302901cb8410d7"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ab00cd1d8962a1927d0302901cb8410d7">armnn::OutputSlot::GetOutputHandler</a></div><div class="ttdeci">const OutputHandler & GetOutputHandler() 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="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00311">Layer.hpp:311</a></div></div>
<div class="ttc" id="_test_utils_8cpp_xhtml_a0b295acb179f15eb3fb862b32008f782"><div class="ttname"><a href="_test_utils_8cpp.xhtml#a0b295acb179f15eb3fb862b32008f782">Connect</a></div><div class="ttdeci">void Connect(armnn::IConnectableLayer *from, armnn::IConnectableLayer *to, const armnn::TensorInfo &tensorInfo, unsigned int fromIndex, unsigned int toIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_test_utils_8cpp_source.xhtml#l00012">TestUtils.cpp:12</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00030">WorkloadData.hpp:30</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a8c42c6647e31ebe525aeba878d133e45"><div class="ttname"><a href="namespacearmnn.xhtml#a8c42c6647e31ebe525aeba878d133e45">armnn::ParameterStringifyFunction</a></div><div class="ttdeci">std::function< void(const std::string &name, const std::string &value)> ParameterStringifyFunction</div><div class="ttdef"><b>Definition:</b> <a href="_serialize_layer_parameters_8hpp_source.xhtml#l00014">SerializeLayerParameters.hpp:14</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a585d59ec610af46a76487fd6c1c55ac1"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1">armnn::Layer::ConstantTensors</a></div><div class="ttdeci">std::vector< std::reference_wrapper< std::unique_ptr< ScopedCpuTensorHandle > >> ConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00393">Layer.hpp:393</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_af7ec4c0fa4375a45a70e4e31f3d8af47"><div class="ttname"><a href="namespacearmnn.xhtml#af7ec4c0fa4375a45a70e4e31f3d8af47">armnn::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)</div><div class="ttdoc">float32 helpers </div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00026">RefWorkloadUtils.hpp:26</a></div></div>
<div class="ttc" id="_tensor_handle_factory_registry_8hpp_xhtml"><div class="ttname"><a href="_tensor_handle_factory_registry_8hpp.xhtml">TensorHandleFactoryRegistry.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_adf57837d00e8352d9b5cc5ab1fb5fee9"><div class="ttname"><a href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9">armnn::ShapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod</div><div class="ttdoc">The ShapeInferenceMethod modify how the output shapes are treated. </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00177">Types.hpp:177</a></div></div>
<div class="ttc" id="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp.xhtml">ITensorHandleFactory.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_input_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_input_slot.xhtml">armnn::IInputSlot</a></div><div class="ttdoc">An input connection slot for a layer. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00025">INetwork.hpp:25</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_adf321850aed578695768f803d709e089"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#adf321850aed578695768f803d709e089">armnn::OutputSlot::~OutputSlot</a></div><div class="ttdeci">~OutputSlot()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00098">Layer.hpp:98</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_afe508761cc8318b15329ba4acf7fbfec"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">armnn::Layer::m_ShapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod m_ShapeInferenceMethod</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00408">Layer.hpp:408</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00210">Layer.hpp:210</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a1d4e05c17647232c514cfe58ca80744a"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a1d4e05c17647232c514cfe58ca80744a">armnn::Layer::GetOutputHandler</a></div><div class="ttdeci">OutputHandler & GetOutputHandler(unsigned int i=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00230">Layer.hpp:230</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_aefb14147290b6b928c5fc924ba035acc"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aefb14147290b6b928c5fc924ba035acc">armnn::Layer::GetAdditionalInformation</a></div><div class="ttdeci">std::shared_ptr< T > GetAdditionalInformation() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00342">Layer.hpp:342</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00419">Types.hpp:419</a></div></div>
<div class="ttc" id="classarmnn_1_1_backend_id_xhtml"><div class="ttname"><a href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.xhtml#l00075">BackendId.hpp:75</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a8dc12f0ee5b232d397bd18ced1a72a64"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a8dc12f0ee5b232d397bd18ced1a72a64">armnn::Layer::GetGuid</a></div><div class="ttdeci">LayerGuid GetGuid() const final</div><div class="ttdoc">Returns the unique id of the layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00322">Layer.hpp:322</a></div></div>
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