IVGCVSW-3726 Upload ArmNN Doxygen files
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+<div class="title">IsLayerSupportedTestImpl.hpp</div> </div>
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+<a href="_is_layer_supported_test_impl_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="preprocessor">#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="_graph_8hpp.html">Graph.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="_workload_factory_8hpp.html">backendsCommon/WorkloadFactory.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <boost/core/ignore_unused.hpp></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> {</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> dummyGraph;</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="comment">// Make a dummy TensorInfo object.</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">template</span><armnn::DataType DataType></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> MakeDummyTensorInfo()</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> {</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>({2,2,2,2}, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>, 1.0, 0);</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</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> </div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment">// Make a dummy WorkloadInfo using a dummy TensorInfo.</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="keyword">template</span><armnn::DataType DataType></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> MakeDummyWorkloadInfo(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputs, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputs)</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> {</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i < numInputs; i++)</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>  info.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.push_back(MakeDummyTensorInfo<DataType>());</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="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> o=0; o < numOutputs; o++)</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  info.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.push_back(MakeDummyTensorInfo<DataType>());</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  }</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordflow">return</span> info;</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> </div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment">// Template class to create a dummy layer (2 parameters).</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keyword">template</span><<span class="keyword">typename</span> LayerType, <span class="keyword">typename</span> DescType = <span class="keyword">typename</span> LayerType::DescriptorType></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword">struct </span>DummyLayer</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> {</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  DummyLayer()</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="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>>(DescType(), <span class="stringliteral">""</span>);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  }</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  ~DummyLayer()</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  {</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  }</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> </div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>* <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> };</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="comment">// Template class to create a dummy layer (1 parameter).</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="keyword">template</span><<span class="keyword">typename</span> LayerType></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="keyword">struct </span>DummyLayer<<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>, void></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> {</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  DummyLayer()</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  {</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>>(<span class="stringliteral">""</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> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  ~DummyLayer()</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>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>);</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> </div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>* <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>;</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> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="keyword">template</span><></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="keyword">struct </span>DummyLayer<<a class="code" href="namespacearmnn.html">armnn</a>::BatchNormalizationLayer></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> {</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  DummyLayer()</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  {</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_batch_normalization_layer.html">armnn::BatchNormalizationLayer</a>>(<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html">armnn::BatchNormalizationDescriptor</a>(), <span class="stringliteral">""</span>);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_Mean = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_Variance = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_Beta = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_Gamma = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  }</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  ~DummyLayer()</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>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  }</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> </div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <a class="code" href="classarmnn_1_1_batch_normalization_layer.html">armnn::BatchNormalizationLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> };</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="keyword">template</span><></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="keyword">struct </span>DummyLayer<<a class="code" href="namespacearmnn.html">armnn</a>::BatchToSpaceNdLayer></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>  DummyLayer()</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_batch_to_space_nd_layer.html">armnn::BatchToSpaceNdLayer</a>>(<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html">armnn::BatchToSpaceNdDescriptor</a>(), <span class="stringliteral">""</span>);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  }</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  ~DummyLayer()</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  {</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>);</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"> 115</span>  <a class="code" href="classarmnn_1_1_batch_to_space_nd_layer.html">armnn::BatchToSpaceNdLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>;</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> </div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="keyword">template</span><></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="keyword">struct </span>DummyLayer<<a class="code" href="namespacearmnn.html">armnn</a>::ConstantLayer, void></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> {</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  DummyLayer()</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  {</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_constant_layer.html">armnn::ConstantLayer</a>>(<span class="stringliteral">""</span>);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  }</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  ~DummyLayer()</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>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>);</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> </div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <a class="code" href="classarmnn_1_1_constant_layer.html">armnn::ConstantLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> };</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="keyword">template</span><></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="keyword">struct </span>DummyLayer<<a class="code" href="namespacearmnn.html">armnn</a>::InputLayer, <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a>></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> {</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  DummyLayer()</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a>>(<a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a>(), <span class="stringliteral">""</span>);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  }</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  ~DummyLayer()</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  {</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  }</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> };</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> <span class="keyword">template</span><></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> <span class="keyword">struct </span>DummyLayer<<a class="code" href="namespacearmnn.html">armnn</a>::ConcatLayer></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> {</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  DummyLayer()</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  {</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="structarmnn_1_1_origins_descriptor.html">armnn::OriginsDescriptor</a> desc(2);</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_concat_layer.html">armnn::ConcatLayer</a>>(desc, <span class="stringliteral">""</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> </div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  ~DummyLayer()</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  {</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>);</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> </div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <a class="code" href="classarmnn_1_1_concat_layer.html">armnn::ConcatLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>;</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> };</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="keyword">template</span><></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="keyword">struct </span>DummyLayer<<a class="code" href="namespacearmnn.html">armnn</a>::OutputLayer, <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a>></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> {</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  DummyLayer()</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  {</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_output_layer.html">armnn::OutputLayer</a>>(<a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a>(), <span class="stringliteral">""</span>);</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  }</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> </div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  ~DummyLayer()</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>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  }</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <a class="code" href="classarmnn_1_1_output_layer.html">armnn::OutputLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>;</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</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="keyword">template</span><></div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> <span class="keyword">struct </span>DummyLayer<<a class="code" href="namespacearmnn.html">armnn</a>::SplitterLayer></div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> {</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  DummyLayer()</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>  <a class="code" href="structarmnn_1_1_views_descriptor.html">armnn::ViewsDescriptor</a> desc(1);</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_splitter_layer.html">armnn::SplitterLayer</a>>(desc, <span class="stringliteral">""</span>);</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  }</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> </div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  ~DummyLayer()</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  {</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>);</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>  <a class="code" href="classarmnn_1_1_splitter_layer.html">armnn::SplitterLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> };</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> <span class="keyword">template</span> <<span class="keyword">typename</span> ConvolutionLayerType></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> <span class="keyword">struct </span>DummyConvolutionLayer</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>  DummyConvolutionLayer()</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="keyword">typename</span> ConvolutionLayerType::DescriptorType desc;</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  desc.m_StrideX = 1;</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  desc.m_StrideY = 1;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><ConvolutionLayerType>(desc, <span class="stringliteral">""</span>);</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_Weight = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_Bias = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  }</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> </div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  ~DummyConvolutionLayer()</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>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  }</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  ConvolutionLayerType* <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>;</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> };</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> </div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> <span class="keyword">template</span><></div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> <span class="keyword">struct </span>DummyLayer<<a class="code" href="namespacearmnn.html">armnn</a>::Convolution2dLayer></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  : <span class="keyword">public</span> DummyConvolutionLayer<armnn::Convolution2dLayer></div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> {</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> };</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> <span class="keyword">template</span><></div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> <span class="keyword">struct </span>DummyLayer<armnn::DepthwiseConvolution2dLayer></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  : <span class="keyword">public</span> DummyConvolutionLayer<armnn::DepthwiseConvolution2dLayer></div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> {</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> };</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> <span class="keyword">template</span><></div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> <span class="keyword">struct </span>DummyLayer<armnn::TransposeConvolution2dLayer></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  : <span class="keyword">public</span> DummyConvolutionLayer<armnn::TransposeConvolution2dLayer></div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> {</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> };</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> </div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> <span class="keyword">template</span><></div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> <span class="keyword">struct </span>DummyLayer<armnn::DetectionPostProcessLayer></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>  DummyLayer()</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  {</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_detection_post_process_layer.html">armnn::DetectionPostProcessLayer</a>>(<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html">armnn::DetectionPostProcessDescriptor</a>(), <span class="stringliteral">""</span>);</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_Anchors = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  }</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> </div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  ~DummyLayer()</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>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>);</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  }</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> </div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <a class="code" href="classarmnn_1_1_detection_post_process_layer.html">armnn::DetectionPostProcessLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>;</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> </div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> <span class="keyword">template</span> <<span class="keyword">typename</span> LstmLayerType></div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> <span class="keyword">struct </span>DummyLstmLayer</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> {</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  DummyLstmLayer()</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  {</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keyword">typename</span> LstmLayerType::DescriptorType desc;</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  desc.m_CifgEnabled = <span class="keyword">false</span>;</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="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><LstmLayerType>(<a class="code" href="structarmnn_1_1_lstm_descriptor.html">armnn::LstmDescriptor</a>(), <span class="stringliteral">""</span>);</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_BasicParameters.m_InputToForgetWeights = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_BasicParameters.m_InputToCellWeights = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_BasicParameters.m_InputToOutputWeights = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_BasicParameters.m_RecurrentToForgetWeights = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_BasicParameters.m_RecurrentToCellWeights = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_BasicParameters.m_RecurrentToOutputWeights = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_BasicParameters.m_ForgetGateBias = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_BasicParameters.m_CellBias = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_BasicParameters.m_OutputGateBias = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_CifgParameters.m_InputToInputWeights = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_CifgParameters.m_RecurrentToInputWeights = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_CifgParameters.m_CellToInputWeights = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_CifgParameters.m_InputGateBias = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  }</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> </div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  ~DummyLstmLayer()</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  {</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>);</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  }</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> </div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <a class="code" href="classarmnn_1_1_lstm_layer.html">armnn::LstmLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>;</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> </div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> <span class="keyword">template</span><></div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span> <span class="keyword">struct </span>DummyLayer<armnn::LstmLayer></div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  : <span class="keyword">public</span> DummyLstmLayer<armnn::LstmLayer></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> };</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> </div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> <span class="keyword">template</span><></div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> <span class="keyword">struct </span>DummyLayer<armnn::QuantizedLstmLayer, void></div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> {</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  DummyLayer()</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  {</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html">armnn::QuantizedLstmLayer</a>>(<span class="stringliteral">""</span>);</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span> </div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_QuantizedLstmParameters.m_InputToInputWeights = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>));</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_QuantizedLstmParameters.m_InputToForgetWeights = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>));</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_QuantizedLstmParameters.m_InputToCellWeights = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>));</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_QuantizedLstmParameters.m_InputToOutputWeights = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>));</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> </div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_QuantizedLstmParameters.m_RecurrentToInputWeights = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>));</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_QuantizedLstmParameters.m_RecurrentToForgetWeights = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>));</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_QuantizedLstmParameters.m_RecurrentToCellWeights = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>));</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_QuantizedLstmParameters.m_RecurrentToOutputWeights = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>));</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span> </div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_QuantizedLstmParameters.m_InputGateBias = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>));</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_QuantizedLstmParameters.m_ForgetGateBias = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>));</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_QuantizedLstmParameters.m_CellBias = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>));</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_QuantizedLstmParameters.m_OutputGateBias = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>));</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  }</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span> </div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  ~DummyLayer()</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  {</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>);</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  }</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>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.html">armnn::QuantizedLstmLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>;</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> };</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span> </div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> <span class="keyword">template</span><></div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span> <span class="keyword">struct </span>DummyLayer<armnn::FullyConnectedLayer></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>  DummyLayer()</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  {</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <a class="code" href="structarmnn_1_1_fully_connected_descriptor.html">armnn::FullyConnectedLayer::DescriptorType</a> desc;</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_fully_connected_layer.html">armnn::FullyConnectedLayer</a>>(desc, <span class="stringliteral">""</span>);</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>->m_Weight = std::make_unique<armnn::ScopedCpuTensorHandle>(</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1,1,1,1}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  }</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span> </div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  ~DummyLayer()</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  {</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a96d76fd10af39fbfabfd0caf0d1439fa">EraseLayer</a>(<a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>);</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  }</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span> </div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <a class="code" href="classarmnn_1_1_fully_connected_layer.html">armnn::FullyConnectedLayer</a>* <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>;</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span> };</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> </div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> <span class="comment">// Tag for giving LayerType entries a unique strong type each.</span></div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span> <span class="keyword">template</span><armnn::LayerType></div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span> <span class="keyword">struct </span>Tag{};</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div><div class="line"><a name="l00377"></a><span class="lineno"><a class="line" href="_is_layer_supported_test_impl_8hpp.html#a22fc459f237f3214c9e5efbada894a28"> 377</a></span> <span class="preprocessor">#define DECLARE_LAYER_POLICY_CUSTOM_PARAM(name, descType) \</span></div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span> <span class="preprocessor">template<armnn::DataType DataType> \</span></div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span> <span class="preprocessor">struct LayerTypePolicy<armnn::LayerType::name, DataType> \</span></div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span> <span class="preprocessor">{ \</span></div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span> <span class="preprocessor"> using Type = armnn::name##Layer; \</span></div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span> <span class="preprocessor"> using Desc = descType; \</span></div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span> <span class="preprocessor"> using QueueDesc = armnn::name##QueueDescriptor; \</span></div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span> <span class="preprocessor"> constexpr static const char* NameStr = #name; \</span></div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span> <span class="preprocessor"> constexpr static const bool IsException = false; \</span></div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span> <span class="preprocessor"> \</span></div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span> <span class="preprocessor"> static std::unique_ptr<armnn::IWorkload> MakeDummyWorkload(armnn::IWorkloadFactory *factory, \</span></div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span> <span class="preprocessor"> unsigned int nIn, unsigned int nOut) \</span></div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> <span class="preprocessor"> { \</span></div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span> <span class="preprocessor"> QueueDesc desc; \</span></div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span> <span class="preprocessor"> armnn::WorkloadInfo info = MakeDummyWorkloadInfo<DataType>(nIn, nOut); \</span></div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span> <span class="preprocessor"> return factory->Create##name(desc, info); \</span></div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span> <span class="preprocessor"> } \</span></div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span> <span class="preprocessor">};</span></div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span> </div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> <span class="comment">// Define a layer policy specialization for use with the IsLayerSupported tests.</span></div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span> <span class="comment">// Use this version for layers whose constructor takes 1 parameter(name).</span></div><div class="line"><a name="l00398"></a><span class="lineno"><a class="line" href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a"> 398</a></span> <span class="preprocessor">#define DECLARE_LAYER_POLICY_1_PARAM(name) DECLARE_LAYER_POLICY_CUSTOM_PARAM(name, void)</span></div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span> </div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span> <span class="comment">// Define a layer policy specialization for use with the IsLayerSupported tests.</span></div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span> <span class="comment">// Use this version for layers whose constructor takes 2 parameters(descriptor and name).</span></div><div class="line"><a name="l00402"></a><span class="lineno"><a class="line" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d"> 402</a></span> <span class="preprocessor">#define DECLARE_LAYER_POLICY_2_PARAM(name) DECLARE_LAYER_POLICY_CUSTOM_PARAM(name, armnn::name##Descriptor)</span></div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span> </div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span> </div><div class="line"><a name="l00405"></a><span class="lineno"><a class="line" href="_is_layer_supported_test_impl_8hpp.html#a09b96516eb25d6389075296cbb95b3b9"> 405</a></span> <span class="preprocessor">#define DECLARE_LAYER_POLICY_EXCEPTION(name, descType) \</span></div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span> <span class="preprocessor">template<armnn::DataType DataType> \</span></div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span> <span class="preprocessor">struct LayerTypePolicy<armnn::LayerType::name, DataType> \</span></div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span> <span class="preprocessor">{ \</span></div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span> <span class="preprocessor"> using Type = armnn::name##Layer; \</span></div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span> <span class="preprocessor"> using Desc = descType; \</span></div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span> <span class="preprocessor"> constexpr static const char* NameStr = #name; \</span></div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span> <span class="preprocessor"> constexpr static const bool IsException = true; \</span></div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span> <span class="preprocessor"> \</span></div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span> <span class="preprocessor"> static std::unique_ptr<armnn::IWorkload> MakeDummyWorkload(armnn::IWorkloadFactory *factory, \</span></div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span> <span class="preprocessor"> unsigned int nIn, unsigned int nOut) \</span></div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span> <span class="preprocessor"> { \</span></div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span> <span class="preprocessor"> boost::ignore_unused(factory, nIn, nOut); \</span></div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> <span class="preprocessor"> return std::unique_ptr<armnn::IWorkload>(); \</span></div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span> <span class="preprocessor"> } \</span></div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span> <span class="preprocessor">};</span></div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> </div><div class="line"><a name="l00422"></a><span class="lineno"><a class="line" href="_is_layer_supported_test_impl_8hpp.html#a611ebd58835be1bc1460c44ccccbc4c8"> 422</a></span> <span class="preprocessor">#define DECLARE_LAYER_POLICY_EXCEPTION_1_PARAM(name) DECLARE_LAYER_POLICY_EXCEPTION(name, void)</span></div><div class="line"><a name="l00423"></a><span class="lineno"><a class="line" href="_is_layer_supported_test_impl_8hpp.html#a26c3597a39bf385163bc2cc79d2de4a7"> 423</a></span> <span class="preprocessor">#define DECLARE_LAYER_POLICY_EXCEPTION_2_PARAM(name) DECLARE_LAYER_POLICY_EXCEPTION(name, armnn::name##Descriptor)</span></div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span> </div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span> <span class="comment">// Layer policy template.</span></div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span> <span class="keyword">template</span><armnn::LayerType Type, armnn::DataType DataType></div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span> <span class="keyword">struct </span>LayerTypePolicy;</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> <span class="comment">// Every entry in the armnn::LayerType enum must be accounted for below.</span></div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.html#a7636fbbc4f8ea2d0cf9f3ac2d12a4c62">Activation</a>)</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span> </div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Addition)</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span> </div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.html#a374120de442fe42c26536bb4f1e2a5a1">ArgMinMax</a>)</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span> </div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(BatchNormalization)</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span> </div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.html#a8746512fab5ec10c2c57800c66311ba7">BatchToSpaceNd</a>)</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span> </div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(Comparison)</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> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(Concat)</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span> </div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Constant)</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span> </div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(ConvertFp16ToFp32)</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span> </div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(ConvertFp32ToFp16)</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> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(Convolution2d)</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span> </div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(MemCopy)</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> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(MemImport)</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span> </div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(<a class="code" href="namespacearmnn.html#a5aae369ef847a00062925cea8e9be9c4">Debug</a>)</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> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.html#ab023d9a7687e35c0f108458a094c1f56">DepthToSpace</a>)</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span> </div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(DepthwiseConvolution2d)</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span> </div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(<a class="code" href="namespacearmnn.html#a855293b1be0581fb61ef6a1c5b027d0f">Dequantize</a>)</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span> </div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.html#ae76ce23fa9fc18e56448d52b37dd3f32">DetectionPostProcess</a>)</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span> </div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(ElementwiseUnary)</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span> </div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.html#ab3c0b7e1a78b1b98c24934221f36a7c3">FakeQuantization</a>)</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span> </div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Floor)</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span> </div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.html#ad34d1d5b1ca8f52dc296ecf52ba20c8a">FullyConnected</a>)</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span> </div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(<a class="code" href="namespacearmnn.html#a66004b2326f8ccb1faa71d5efa186633">Gather</a>)</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span> </div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a22fc459f237f3214c9e5efbada894a28">DECLARE_LAYER_POLICY_CUSTOM_PARAM</a>(Input, <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a>)</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span> </div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(InstanceNormalization)</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span> </div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(L2Normalization)</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span> </div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.html#ac52e04c0e349e25bcdaa72c27395ef8f">LogSoftmax</a>)</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span> </div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(Lstm)</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span> </div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Maximum)</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span> </div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.html#a165ae372a7f67cad64ef3395d30122ce">Mean</a>)</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span> </div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Merge)</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span> </div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Minimum)</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span> </div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Multiplication)</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span> </div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(Normalization)</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span> </div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a22fc459f237f3214c9e5efbada894a28">DECLARE_LAYER_POLICY_CUSTOM_PARAM</a>(Output, <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a>)</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span> </div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.html#a28e115f5d28500324b53fae9e6c00b77">Pad</a>)</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> </div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(<a class="code" href="namespacearmnn.html#ad773a034fb9983e15f3094b4c5c7c30c">Quantize</a>)</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span> </div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn_utils.html#af3c74017185773dd61d8ca6662d65d43">Permute</a>)</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span> </div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.html#ae2e93e304cf516841c521e3eaee025cd">Pooling2d</a>)</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span> </div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(PreCompiled)</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span> </div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Prelu)</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span> </div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(QuantizedLstm)</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span> </div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Division)</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span> </div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.html#a25dc224be48103343302b5a6fd588fe7">Resize</a>)</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span> </div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(Reshape)</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span> </div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.html#a044ea0cc993d4d1fbe4ec877b17b8d39">Slice</a>)</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span> </div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.html#aa999ff2585ad75b95954a9323f63c32b">Softmax</a>)</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span> </div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.html#a4a180e425d4c19b2cdea4ce5760180e1">SpaceToBatchNd</a>)</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span> </div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.html#a5e1dc69443b64ad16b669388a6023f7a">SpaceToDepth</a>)</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span> </div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.html#a427c3d26d05b518b1ace407035f5920e">Splitter</a>)</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span> </div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.html#a6ef2dcac2ec0683d52df1b051404e7d6">Stack</a>)</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span> </div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a26c3597a39bf385163bc2cc79d2de4a7">DECLARE_LAYER_POLICY_EXCEPTION_2_PARAM</a>(StandIn)</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span> </div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(<a class="code" href="namespacearmnn.html#a86d7a7168ac00b75b4971f9aad623698">StridedSlice</a>)</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span> </div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Subtraction)</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span> </div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a>(Switch)</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span> </div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span> <a class="code" href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a>(TransposeConvolution2d)</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span> </div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span> </div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span> <span class="comment">// Generic implementation to get the number of input slots for a given layer type;</span></div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span> <span class="keyword">template</span><armnn::LayerType Type></div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> GetNumInputs(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>& layer)</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span> {</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="keywordflow">return</span> layer.<a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>();</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span> }</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span> </div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span> <span class="comment">// Generic implementation to get the number of output slots for a given layer type;</span></div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span> <span class="keyword">template</span><armnn::LayerType Type></div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> GetNumOutputs(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>& layer)</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span> {</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <span class="keywordflow">return</span> layer.<a class="code" href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>();</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span> }</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span> </div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span> <span class="keyword">template</span><></div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> GetNumInputs<armnn::LayerType::Concat>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>& layer)</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span> {</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  boost::ignore_unused(layer);</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <span class="keywordflow">return</span> 2;</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span> }</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span> </div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span> <span class="comment">// Tests that the IsLayerSupported() function returns the correct value.</span></div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span> <span class="comment">// We determined the correct value by *trying* to create the relevant workload and seeing if it matches what we expect.</span></div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span> <span class="comment">// Returns true if expectations are met, otherwise returns false.</span></div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType, armnn::DataType DataType, armnn::LayerType Type></div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span> <span class="keywordtype">bool</span> IsLayerSupportedTest(<a class="code" href="_cl_layer_tests_8cpp.html#a255d08081b372809a176b588529296aa">FactoryType</a> *factory, Tag<Type>)</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span> {</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="keyword">using</span> LayerPolicy = LayerTypePolicy<Type, DataType>;</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <span class="keyword">using</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> = <span class="keyword">typename</span> LayerPolicy::Type;</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="keyword">using</span> LayerDesc = <span class="keyword">typename</span> LayerPolicy::Desc;</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  DummyLayer<LayerType, LayerDesc> layer;</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span> </div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="keywordflow">if</span> (LayerPolicy::IsException) <span class="comment">//Don't test exceptions to the rule.</span></div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  {</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  }</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span> </div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numIn = GetNumInputs<Type>(*layer.m_Layer);</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOut = GetNumOutputs<Type>(*layer.m_Layer);</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span> </div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="comment">// Make another dummy layer just to make IsLayerSupported have valid inputs.</span></div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  DummyLayer<armnn::ConstantLayer, void> previousLayer;</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <span class="comment">// Set output of the previous layer to a dummy tensor.</span></div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> output = MakeDummyTensorInfo<DataType>();</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  previousLayer.m_Layer->GetOutputSlot(0).SetTensorInfo(output);</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="comment">// Connect all outputs of the previous layer to inputs of tested layer.</span></div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numIn; i++)</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  {</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <a class="code" href="classarmnn_1_1_i_output_slot.html">armnn::IOutputSlot</a>& previousLayerOutputSlot = previousLayer.m_Layer->GetOutputSlot(0);</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <a class="code" href="classarmnn_1_1_i_input_slot.html">armnn::IInputSlot</a>& layerInputSlot = layer.m_Layer->GetInputSlot(i);</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  previousLayerOutputSlot.<a class="code" href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(layerInputSlot);</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  }</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="comment">// Set outputs of tested layer to a dummy tensor.</span></div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numOut; i++)</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  {</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  layer.m_Layer->GetOutputSlot(0).SetTensorInfo(output);</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  }</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span> </div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  std::string layerName = LayerPolicy::NameStr;</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  std::string reasonIfUnsupported;</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  <span class="keywordflow">if</span> (FactoryType::IsLayerSupported(*layer.m_Layer, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>, reasonIfUnsupported))</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  {</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  std::string errorMsg = <span class="stringliteral">" layer expected support but found none."</span>;</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  {</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  <span class="keywordtype">bool</span> retVal = LayerPolicy::MakeDummyWorkload(factory, numIn, numOut).get() != <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  BOOST_CHECK_MESSAGE(retVal, layerName << errorMsg);</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  <span class="keywordflow">return</span> retVal;</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  }</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>& e)</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  {</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  boost::ignore_unused(e);</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  <span class="comment">// This is ok since we throw InvalidArgumentException when creating the dummy workload.</span></div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  }</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> std::exception& e)</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  {</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  errorMsg = e.what();</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  BOOST_TEST_ERROR(layerName << <span class="stringliteral">": "</span> << errorMsg);</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  }</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  <span class="keywordflow">catch</span>(...)</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  {</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  errorMsg = <span class="stringliteral">"Unexpected error while testing support for "</span>;</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  BOOST_TEST_ERROR(errorMsg << layerName);</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  }</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  }</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  {</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  std::string errorMsg = <span class="stringliteral">"layer expected no support (giving reason: "</span> + reasonIfUnsupported + <span class="stringliteral">") but found some."</span>;</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  {</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  <span class="keywordtype">bool</span> retVal = LayerPolicy::MakeDummyWorkload(factory, numIn, numOut).get() == <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  BOOST_CHECK_MESSAGE(retVal, layerName << errorMsg);</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <span class="keywordflow">return</span> retVal;</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  }</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  <span class="comment">// These two exceptions are ok: For workloads that are partially supported, attempting to instantiate them</span></div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <span class="comment">// using parameters that make IsLayerSupported() return false should throw an</span></div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  <span class="comment">// InvalidArgumentException or UnimplementedException.</span></div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>& e)</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  {</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  boost::ignore_unused(e);</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  }</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_unimplemented_exception.html">armnn::UnimplementedException</a>& e)</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  {</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  boost::ignore_unused(e);</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  }</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> std::exception& e)</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  {</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  errorMsg = e.what();</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  BOOST_TEST_ERROR(layerName << <span class="stringliteral">": "</span> << errorMsg);</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  }</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <span class="keywordflow">catch</span>(...)</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  {</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  errorMsg = <span class="stringliteral">"Unexpected error while testing support for "</span>;</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  BOOST_TEST_ERROR(errorMsg << layerName);</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  }</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  }</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span> }</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span> </div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span> <span class="comment">// Helper function to compute the next type in the LayerType enum.</span></div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span> constexpr <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a> NextType(<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a> type)</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span> {</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <span class="keywordflow">return</span> <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a><span class="keyword">></span>(<span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(type)+1);</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span> }</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span> </div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span> <span class="comment">// Termination function for determining the end of the LayerType enumeration.</span></div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType, armnn::DataType DataType, armnn::LayerType Type></div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span> <span class="keywordtype">bool</span> IsLayerSupportedTestsImpl(<a class="code" href="_cl_layer_tests_8cpp.html#a255d08081b372809a176b588529296aa">FactoryType</a> *factory, Tag<armnn::LayerType::LastLayer>)</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span> {</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  <span class="keywordflow">return</span> IsLayerSupportedTest<FactoryType, DataType, Type>(factory, Tag<Type>());</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span> }</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span> </div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span> <span class="comment">// Recursive function to test and enter in the LayerType enum and then iterate on the next entry.</span></div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType, armnn::DataType DataType, armnn::LayerType Type></div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span> <span class="keywordtype">bool</span> IsLayerSupportedTestsImpl(<a class="code" href="_cl_layer_tests_8cpp.html#a255d08081b372809a176b588529296aa">FactoryType</a> *factory, Tag<Type>)</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span> {</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  <span class="keywordtype">bool</span> v = IsLayerSupportedTest<FactoryType, DataType, Type>(factory, Tag<Type>());</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span> </div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  <span class="keywordflow">return</span> v &&</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  IsLayerSupportedTestsImpl<FactoryType, DataType, NextType(Type)></div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  (factory, Tag<NextType(Type)>());</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span> }</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span> </div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span> <span class="comment">// Helper function to pass through to the test framework.</span></div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType, armnn::DataType DataType></div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span> <span class="keywordtype">bool</span> IsLayerSupportedTests(<a class="code" href="_cl_layer_tests_8cpp.html#a255d08081b372809a176b588529296aa">FactoryType</a> *factory)</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span> {</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  <span class="keywordflow">return</span> IsLayerSupportedTestsImpl<FactoryType, DataType>(factory, Tag<armnn::LayerType::FirstLayer>());</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span> }</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span> </div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span> <span class="keyword">template</span><armnn::LayerType Type></div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span> <span class="keywordtype">bool</span> TestLayerTypeMatches()</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span> {</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  <span class="keyword">using</span> LayerPolicy = LayerTypePolicy<Type, armnn::DataType::Float32>;</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <span class="keyword">using</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> = <span class="keyword">typename</span> LayerPolicy::Type;</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  <span class="keyword">using</span> LayerDesc = <span class="keyword">typename</span> LayerPolicy::Desc;</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  DummyLayer<LayerType, LayerDesc> layer;</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span> </div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  std::stringstream ss;</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  ss << LayerPolicy::NameStr << <span class="stringliteral">" layer type mismatches expected layer type value."</span>;</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  <span class="keywordtype">bool</span> v = Type == layer.m_Layer->GetType();</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  BOOST_CHECK_MESSAGE(v, ss.str());</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  <span class="keywordflow">return</span> v;</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span> }</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span> </div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span> <span class="keyword">template</span><armnn::LayerType Type></div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span> <span class="keywordtype">bool</span> LayerTypeMatchesTestImpl(Tag<armnn::LayerType::LastLayer>)</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span> {</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  <span class="keywordflow">return</span> TestLayerTypeMatches<Type>();</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span> }</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span> </div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span> <span class="keyword">template</span><armnn::LayerType Type></div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span> <span class="keywordtype">bool</span> LayerTypeMatchesTestImpl(Tag<Type>)</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span> {</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  <span class="keywordflow">return</span> TestLayerTypeMatches<Type>() &&</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  LayerTypeMatchesTestImpl<NextType(Type)>(Tag<NextType(Type)>());</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span> }</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span> </div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType, <span class="keyword">typename</span> LayerType, armnn::DataType InputDataType , armnn::DataType OutputDataType></div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span> <span class="keywordtype">bool</span> IsConvertLayerSupportedTests(std::string& reasonIfUnsupported)</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span> {</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>* <span class="keyword">const</span> layer = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>>(<span class="stringliteral">"LayerName"</span>);</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span> </div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>* <span class="keyword">const</span> input = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a>>(0, <span class="stringliteral">"input"</span>);</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>* <span class="keyword">const</span> output = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_output_layer.html">armnn::OutputLayer</a>>(0, <span class="stringliteral">"output"</span>);</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span> </div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo({1, 3, 2, 3}, InputDataType);</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo({1, 3, 2, 3}, OutputDataType);</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span> </div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  input->GetOutputSlot(0).Connect(layer->GetInputSlot(0));</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  input->GetOutputHandler(0).SetTensorInfo(inputTensorInfo);</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  layer->GetOutputSlot(0).Connect(output->GetInputSlot(0));</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  layer->GetOutputHandler(0).SetTensorInfo(outputTensorInfo);</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span> </div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  <span class="keywordtype">bool</span> result = FactoryType::IsLayerSupported(*layer, InputDataType, reasonIfUnsupported);</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span> </div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span> }</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span> </div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType, armnn::DataType InputDataType , armnn::DataType OutputDataType></div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span> <span class="keywordtype">bool</span> IsMeanLayerSupportedTests(std::string& reasonIfUnsupported)</div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span> {</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  <span class="keyword">static</span> <span class="keyword">const</span> std::vector<unsigned> axes = {1, 0};</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  <a class="code" href="structarmnn_1_1_mean_descriptor.html">armnn::MeanDescriptor</a> desc(axes, <span class="keyword">false</span>);</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span> </div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>* <span class="keyword">const</span> layer = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_mean_layer.html">armnn::MeanLayer</a>>(desc, <span class="stringliteral">"LayerName"</span>);</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span> </div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>* <span class="keyword">const</span> input = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a>>(0, <span class="stringliteral">"input"</span>);</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>* <span class="keyword">const</span> output = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_output_layer.html">armnn::OutputLayer</a>>(0, <span class="stringliteral">"output"</span>);</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span> </div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo({4, 3, 2}, InputDataType);</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo({2}, OutputDataType);</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span> </div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  input->GetOutputSlot(0).Connect(layer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0));</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  input->GetOutputHandler(0).SetTensorInfo(inputTensorInfo);</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  layer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#adcfb97035799ea4c043f9ef370714815">Connect</a>(output->GetInputSlot(0));</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  layer-><a class="code" href="classarmnn_1_1_layer.html#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>(0).<a class="code" href="classarmnn_1_1_output_handler.html#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(outputTensorInfo);</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span> </div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  <span class="keywordtype">bool</span> result = FactoryType::IsLayerSupported(*layer, InputDataType, reasonIfUnsupported);</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span> </div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span> }</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span> </div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span> <span class="comment">// Tests that IsMeanSupported fails when input tensor dimensions</span></div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span> <span class="comment">// do not match output tensor dimensions when keepDims == true</span></div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType, armnn::DataType InputDataType , armnn::DataType OutputDataType></div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span> <span class="keywordtype">bool</span> IsMeanLayerNotSupportedTests(std::string& reasonIfUnsupported)</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span> {</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  <span class="keyword">static</span> <span class="keyword">const</span> std::vector<unsigned> axes = {};</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  <span class="comment">// Set keepDims == true</span></div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  <a class="code" href="structarmnn_1_1_mean_descriptor.html">armnn::MeanDescriptor</a> desc(axes, <span class="keyword">true</span>);</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span> </div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>* <span class="keyword">const</span> layer = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_mean_layer.html">armnn::MeanLayer</a>>(desc, <span class="stringliteral">"LayerName"</span>);</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span> </div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>* <span class="keyword">const</span> input = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a>>(0, <span class="stringliteral">"input"</span>);</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>* <span class="keyword">const</span> output = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_output_layer.html">armnn::OutputLayer</a>>(0, <span class="stringliteral">"output"</span>);</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span> </div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  <span class="comment">// Mismatching number of tensor dimensions</span></div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo({1, 1, 1, 1}, InputDataType);</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo({1, 1}, OutputDataType);</div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span> </div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  input->GetOutputSlot(0).Connect(layer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0));</div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  input->GetOutputHandler(0).SetTensorInfo(inputTensorInfo);</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  layer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#adcfb97035799ea4c043f9ef370714815">Connect</a>(output->GetInputSlot(0));</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  layer-><a class="code" href="classarmnn_1_1_layer.html#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>(0).<a class="code" href="classarmnn_1_1_output_handler.html#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(outputTensorInfo);</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span> </div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  <span class="keywordtype">bool</span> result = FactoryType::IsLayerSupported(*layer, InputDataType, reasonIfUnsupported);</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span> </div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span> }</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span> </div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span> </div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span> } <span class="comment">//namespace</span></div><div class="ttc" id="namespacearmnn_html_a8746512fab5ec10c2c57800c66311ba7"><div class="ttname"><a href="namespacearmnn.html#a8746512fab5ec10c2c57800c66311ba7">armnn::BatchToSpaceNd</a></div><div class="ttdeci">void BatchToSpaceNd(const DataLayoutIndexed &dataLayout, const TensorInfo &inputTensorInfo, const TensorInfo &outputTensorInfo, const std::vector< unsigned int > &blockShape, const std::vector< std::pair< unsigned int, unsigned int >> &cropsData, Decoder< float > &inputDecoder, Encoder< float > &outputEncoder)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_batch_to_space_n_d_8cpp_source.html#l00035">BatchToSpaceNd.cpp:35</a></div></div>
+<div class="ttc" id="classarmnn_1_1_layer_html_af2c0edc7ea62a8baaec4d3d9b2b09256"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00221">Layer.hpp:221</a></div></div>
+<div class="ttc" id="classarmnn_1_1_layer_html_a1594bddc87d6477df300317658f566bb"><div class="ttname"><a href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">armnn::Layer::GetNumOutputSlots</a></div><div class="ttdeci">unsigned int GetNumOutputSlots() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00308">Layer.hpp:308</a></div></div>
+<div class="ttc" id="_workload_factory_8hpp_html"><div class="ttname"><a href="_workload_factory_8hpp.html">WorkloadFactory.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_batch_to_space_nd_layer_html"><div class="ttname"><a href="classarmnn_1_1_batch_to_space_nd_layer.html">armnn::BatchToSpaceNdLayer</a></div><div class="ttdoc">This layer represents a BatchToSpaceNd operation. </div><div class="ttdef"><b>Definition:</b> <a href="_batch_to_space_nd_layer_8hpp_source.html#l00013">BatchToSpaceNdLayer.hpp:13</a></div></div>
+<div class="ttc" id="classarmnn_1_1_input_layer_html"><div class="ttname"><a href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a></div><div class="ttdoc">A layer user-provided data can be bound to (e.g. inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_input_layer_8hpp_source.html#l00013">InputLayer.hpp:13</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ae2e93e304cf516841c521e3eaee025cd"><div class="ttname"><a href="namespacearmnn.html#ae2e93e304cf516841c521e3eaee025cd">armnn::Pooling2d</a></div><div class="ttdeci">void Pooling2d(Decoder< float > &rInputDecoder, Encoder< float > &rOutputEncoder, const TensorInfo &inputInfo, const TensorInfo &outputInfo, const Pooling2dDescriptor &params)</div><div class="ttdoc">Computes the Pooling2d operation. </div><div class="ttdef"><b>Definition:</b> <a href="_pooling2d_8cpp_source.html#l00143">Pooling2d.cpp:143</a></div></div>
+<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html">armnn::BatchToSpaceNdDescriptor</a></div><div class="ttdoc">A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00657">Descriptors.hpp:657</a></div></div>
+<div class="ttc" id="namespacearmnn_utils_html_af3c74017185773dd61d8ca6662d65d43"><div class="ttname"><a href="namespacearmnn_utils.html#af3c74017185773dd61d8ca6662d65d43">armnnUtils::Permute</a></div><div class="ttdeci">void Permute(const armnn::TensorShape &dstShape, const armnn::PermutationVector &mappings, const void *src, void *dst, size_t dataTypeSize)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_8cpp_source.html#l00121">Permute.cpp:121</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ab3c0b7e1a78b1b98c24934221f36a7c3"><div class="ttname"><a href="namespacearmnn.html#ab3c0b7e1a78b1b98c24934221f36a7c3">armnn::FakeQuantization</a></div><div class="ttdeci">void FakeQuantization(const float *inputData, float *outputData, uint32_t numElements, float min, float max)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_fake_quantization_float32_workload_8cpp_source.html#l00017">RefFakeQuantizationFloat32Workload.cpp:17</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a5aae369ef847a00062925cea8e9be9c4"><div class="ttname"><a href="namespacearmnn.html#a5aae369ef847a00062925cea8e9be9c4">armnn::Debug</a></div><div class="ttdeci">void Debug(const TensorInfo &inputInfo, const T *inputData, LayerGuid guid, const std::string &layerName, unsigned int slotIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_debug_8cpp_source.html#l00019">Debug.cpp:19</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
+<div class="ttc" id="classarmnn_1_1_batch_normalization_layer_html"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html">armnn::BatchNormalizationLayer</a></div><div class="ttdoc">This layer represents a batch normalization operation. </div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8hpp_source.html#l00015">BatchNormalizationLayer.hpp:15</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ae76ce23fa9fc18e56448d52b37dd3f32"><div class="ttname"><a href="namespacearmnn.html#ae76ce23fa9fc18e56448d52b37dd3f32">armnn::DetectionPostProcess</a></div><div class="ttdeci">void DetectionPostProcess(const TensorInfo &boxEncodingsInfo, const TensorInfo &scoresInfo, const TensorInfo &anchorsInfo, const TensorInfo &detectionBoxesInfo, const TensorInfo &detectionClassesInfo, const TensorInfo &detectionScoresInfo, const TensorInfo &numDetectionsInfo, const DetectionPostProcessDescriptor &desc, Decoder< float > &boxEncodings, Decoder< float > &scores, Decoder< float > &anchors, float *detectionBoxes, float *detectionClasses, float *detectionScores, float *numDetections)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_detection_post_process_8cpp_source.html#l00141">DetectionPostProcess.cpp:141</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad773a034fb9983e15f3094b4c5c7c30c"><div class="ttname"><a href="namespacearmnn.html#ad773a034fb9983e15f3094b4c5c7c30c">armnn::Quantize</a></div><div class="ttdeci">QuantizedType Quantize(float value, float scale, int32_t offset)</div><div class="ttdoc">Explicit specialization of Quantize for int8_t. </div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8cpp_source.html#l00031">TypesUtils.cpp:31</a></div></div>
+<div class="ttc" id="classarmnn_1_1_detection_post_process_layer_html"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.html">armnn::DetectionPostProcessLayer</a></div><div class="ttdoc">This layer represents a detection postprocess operator. </div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8hpp_source.html#l00016">DetectionPostProcessLayer.hpp:16</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
+<div class="ttc" id="classarmnn_1_1_layer_html"><div class="ttname"><a href="classarmnn_1_1_layer.html">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00209">Layer.hpp:209</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="structarmnn_1_1_workload_info_html_a67b178f8a836bc1e52b8de109760adfd"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#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.html#l00019">WorkloadInfo.hpp:19</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a4a180e425d4c19b2cdea4ce5760180e1"><div class="ttname"><a href="namespacearmnn.html#a4a180e425d4c19b2cdea4ce5760180e1">armnn::SpaceToBatchNd</a></div><div class="ttdeci">void SpaceToBatchNd(const TensorInfo &inputInfo, const TensorInfo &outputInfo, const SpaceToBatchNdDescriptor &params, Decoder< float > &inputData, Encoder< float > &outputData)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_space_to_batch_n_d_8cpp_source.html#l00034">SpaceToBatchNd.cpp:34</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a66004b2326f8ccb1faa71d5efa186633"><div class="ttname"><a href="namespacearmnn.html#a66004b2326f8ccb1faa71d5efa186633">armnn::Gather</a></div><div class="ttdeci">void Gather(const TensorInfo &paramsInfo, const TensorInfo &indicesInfo, const TensorInfo &outputInfo, Decoder< float > &params, const int32_t *indices, Encoder< float > &output)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_gather_8cpp_source.html#l00018">Gather.cpp:18</a></div></div>
+<div class="ttc" id="_is_layer_supported_test_impl_8hpp_html_a6f1733a5293675a821587ff5b022246d"><div class="ttname"><a href="_is_layer_supported_test_impl_8hpp.html#a6f1733a5293675a821587ff5b022246d">DECLARE_LAYER_POLICY_2_PARAM</a></div><div class="ttdeci">#define DECLARE_LAYER_POLICY_2_PARAM(name)</div><div class="ttdef"><b>Definition:</b> <a href="_is_layer_supported_test_impl_8hpp_source.html#l00402">IsLayerSupportedTestImpl.hpp:402</a></div></div>
+<div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.html">armnn::BatchNormalizationDescriptor</a></div><div class="ttdoc">A BatchNormalizationDescriptor for the BatchNormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00610">Descriptors.hpp:610</a></div></div>
+<div class="ttc" id="classarmnn_1_1_graph_html_a7563c5b899e7d0ada08fd0fdb202f205"><div class="ttname"><a href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">armnn::Graph::AddLayer</a></div><div class="ttdeci">LayerT * AddLayer(Args &&... args)</div><div class="ttdoc">Adds a new layer, of type LayerType, to the graph constructed with the arguments passed. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00397">Graph.hpp:397</a></div></div>
+<div class="ttc" id="classarmnn_1_1_output_slot_html_adcfb97035799ea4c043f9ef370714815"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#adcfb97035799ea4c043f9ef370714815">armnn::OutputSlot::Connect</a></div><div class="ttdeci">int Connect(InputSlot &destination)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00079">Layer.cpp:79</a></div></div>
+<div class="ttc" id="classarmnn_1_1_concat_layer_html"><div class="ttname"><a href="classarmnn_1_1_concat_layer.html">armnn::ConcatLayer</a></div><div class="ttdoc">This layer represents a merge operation. </div><div class="ttdef"><b>Definition:</b> <a href="_concat_layer_8hpp_source.html#l00013">ConcatLayer.hpp:13</a></div></div>
+<div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a855293b1be0581fb61ef6a1c5b027d0f"><div class="ttname"><a href="namespacearmnn.html#a855293b1be0581fb61ef6a1c5b027d0f">armnn::Dequantize</a></div><div class="ttdeci">float Dequantize(QuantizedType value, float scale, int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8cpp_source.html#l00047">TypesUtils.cpp:47</a></div></div>
+<div class="ttc" id="structarmnn_1_1_views_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.html">armnn::ViewsDescriptor</a></div><div class="ttdoc">A ViewsDescriptor for the SplitterLayer. Descriptor to configure the splitting process. Number of Views must be equal to the number of outputs, and their order must match - e.g. first view corresponds to the first output, second view to the second output, etc. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00190">Descriptors.hpp:190</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
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+<div class="ttc" id="classarmnn_1_1_fully_connected_layer_html"><div class="ttname"><a href="classarmnn_1_1_fully_connected_layer.html">armnn::FullyConnectedLayer</a></div><div class="ttdoc">This layer represents a fully connected operation. </div><div class="ttdef"><b>Definition:</b> <a href="_fully_connected_layer_8hpp_source.html#l00015">FullyConnectedLayer.hpp:15</a></div></div>
+<div class="ttc" id="_is_layer_supported_test_impl_8hpp_html_a22fc459f237f3214c9e5efbada894a28"><div class="ttname"><a href="_is_layer_supported_test_impl_8hpp.html#a22fc459f237f3214c9e5efbada894a28">DECLARE_LAYER_POLICY_CUSTOM_PARAM</a></div><div class="ttdeci">#define DECLARE_LAYER_POLICY_CUSTOM_PARAM(name, descType)</div><div class="ttdef"><b>Definition:</b> <a href="_is_layer_supported_test_impl_8hpp_source.html#l00377">IsLayerSupportedTestImpl.hpp:377</a></div></div>
+<div class="ttc" id="namespacearmnn_html_aa999ff2585ad75b95954a9323f63c32b"><div class="ttname"><a href="namespacearmnn.html#aa999ff2585ad75b95954a9323f63c32b">armnn::Softmax</a></div><div class="ttdeci">void Softmax(Decoder< float > &in, Encoder< float > &out, const TensorInfo &inputTensorInfo, float beta, int axis)</div><div class="ttdoc">Computes the softmax function on some inputs, into outputs, with a shape given by tensorInfo...</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_softmax_8cpp_source.html#l00017">Softmax.cpp:17</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a28e115f5d28500324b53fae9e6c00b77"><div class="ttname"><a href="namespacearmnn.html#a28e115f5d28500324b53fae9e6c00b77">armnn::Pad</a></div><div class="ttdeci">void Pad(const TensorInfo &inputInfo, const TensorInfo &outputInfo, std::vector< std::pair< unsigned int, unsigned int >> m_padList, const T *inputData, T *outData, const float padValue)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_pad_8cpp_source.html#l00022">Pad.cpp:22</a></div></div>
+<div class="ttc" id="classarmnn_1_1_splitter_layer_html"><div class="ttname"><a href="classarmnn_1_1_splitter_layer.html">armnn::SplitterLayer</a></div><div class="ttdoc">This layer represents a split operation. </div><div class="ttdef"><b>Definition:</b> <a href="_splitter_layer_8hpp_source.html#l00013">SplitterLayer.hpp:13</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a374120de442fe42c26536bb4f1e2a5a1"><div class="ttname"><a href="namespacearmnn.html#a374120de442fe42c26536bb4f1e2a5a1">armnn::ArgMinMax</a></div><div class="ttdeci">void ArgMinMax(Decoder< float > &in, int32_t *out, const TensorInfo &inputTensorInfo, const TensorInfo &outputTensorInfo, ArgMinMaxFunction function, int axis)</div><div class="ttdef"><b>Definition:</b> <a href="_arg_min_max_8cpp_source.html#l00015">ArgMinMax.cpp:15</a></div></div>
+<div class="ttc" id="structarmnn_1_1_lstm_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html">armnn::LstmDescriptor</a></div><div class="ttdoc">An LstmDescriptor for the LstmLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00837">Descriptors.hpp:837</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a165ae372a7f67cad64ef3395d30122ce"><div class="ttname"><a href="namespacearmnn.html#a165ae372a7f67cad64ef3395d30122ce">armnn::Mean</a></div><div class="ttdeci">void Mean(const armnn::TensorInfo &inputInfo, const armnn::TensorInfo &outputInfo, const std::vector< unsigned int > &axis, Decoder< float > &input, Encoder< float > &output)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_mean_8cpp_source.html#l00071">Mean.cpp:71</a></div></div>
+<div class="ttc" id="structarmnn_1_1_workload_info_html_ac97905bfa0daab357b91df1347600309"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#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.html#l00018">WorkloadInfo.hpp:18</a></div></div>
+<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html">armnn::DetectionPostProcessDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00495">Descriptors.hpp:495</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad34d1d5b1ca8f52dc296ecf52ba20c8a"><div class="ttname"><a href="namespacearmnn.html#ad34d1d5b1ca8f52dc296ecf52ba20c8a">armnn::FullyConnected</a></div><div class="ttdeci">void FullyConnected(const TensorShape &rInputShape, Decoder< float > &rInputDecoder, const TensorShape &rOutputShape, Encoder< float > &rOutputEncoder, Decoder< float > &rWeightDecoder, Decoder< float > &rBiasDecoder, const bool biasEnabled, const unsigned int K, const bool transposeWeights)</div><div class="ttdoc">Performs a matrix multiplication and optionally adds a bias. </div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_fully_connected_8cpp_source.html#l00015">FullyConnected.cpp:15</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_input_slot_html"><div class="ttname"><a href="classarmnn_1_1_i_input_slot.html">armnn::IInputSlot</a></div><div class="ttdoc">An input connection slot for a layer. The input slot can be connected to an output slot of the preced...</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00024">INetwork.hpp:24</a></div></div>
+<div class="ttc" id="_is_layer_supported_test_impl_8hpp_html_a3c90603b8bd4980b6f211b07f710454a"><div class="ttname"><a href="_is_layer_supported_test_impl_8hpp.html#a3c90603b8bd4980b6f211b07f710454a">DECLARE_LAYER_POLICY_1_PARAM</a></div><div class="ttdeci">#define DECLARE_LAYER_POLICY_1_PARAM(name)</div><div class="ttdef"><b>Definition:</b> <a href="_is_layer_supported_test_impl_8hpp_source.html#l00398">IsLayerSupportedTestImpl.hpp:398</a></div></div>
+<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html">armnn::FullyConnectedDescriptor</a></div><div class="ttdoc">A FullyConnectedDescriptor for the FullyConnectedLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00373">Descriptors.hpp:373</a></div></div>
+<div class="ttc" id="classarmnn_1_1_output_layer_html"><div class="ttname"><a href="classarmnn_1_1_output_layer.html">armnn::OutputLayer</a></div><div class="ttdoc">A layer user-provided data can be bound to (e.g. inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_output_layer_8hpp_source.html#l00013">OutputLayer.hpp:13</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a86d7a7168ac00b75b4971f9aad623698"><div class="ttname"><a href="namespacearmnn.html#a86d7a7168ac00b75b4971f9aad623698">armnn::StridedSlice</a></div><div class="ttdeci">void StridedSlice(const TensorInfo &inputInfo, const StridedSliceDescriptor &params, const void *inputData, void *outputData, unsigned int dataTypeSize)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_strided_slice_8cpp_source.html#l00090">StridedSlice.cpp:90</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a044ea0cc993d4d1fbe4ec877b17b8d39"><div class="ttname"><a href="namespacearmnn.html#a044ea0cc993d4d1fbe4ec877b17b8d39">armnn::Slice</a></div><div class="ttdeci">void Slice(const TensorInfo &inputInfo, const SliceDescriptor &descriptor, const void *inputData, void *outputData, unsigned int dataTypeSize)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_slice_8cpp_source.html#l00015">Slice.cpp:15</a></div></div>
+<div class="ttc" id="namespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a5e1dc69443b64ad16b669388a6023f7a"><div class="ttname"><a href="namespacearmnn.html#a5e1dc69443b64ad16b669388a6023f7a">armnn::SpaceToDepth</a></div><div class="ttdeci">void SpaceToDepth(const TensorInfo &inputInfo, const TensorInfo &outputInfo, const SpaceToDepthDescriptor &params, Decoder< float > &inputData, Encoder< float > &outputData)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_depth_8cpp_source.html#l00036">SpaceToDepth.cpp:36</a></div></div>
+<div class="ttc" id="classarmnn_1_1_constant_layer_html"><div class="ttname"><a href="classarmnn_1_1_constant_layer.html">armnn::ConstantLayer</a></div><div class="ttdoc">A layer that the constant data can be bound to. </div><div class="ttdef"><b>Definition:</b> <a href="_constant_layer_8hpp_source.html#l00015">ConstantLayer.hpp:15</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
+<div class="ttc" id="_cl_layer_tests_8cpp_html_a255d08081b372809a176b588529296aa"><div class="ttname"><a href="_cl_layer_tests_8cpp.html#a255d08081b372809a176b588529296aa">FactoryType</a></div><div class="ttdeci">ClWorkloadFactory FactoryType</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_tests_8cpp_source.html#l00031">ClLayerTests.cpp:31</a></div></div>
+<div class="ttc" id="classarmnn_1_1_lstm_layer_html"><div class="ttname"><a href="classarmnn_1_1_lstm_layer.html">armnn::LstmLayer</a></div><div class="ttdoc">This layer represents a LSTM operation. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.html#l00077">LstmLayer.hpp:77</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a427c3d26d05b518b1ace407035f5920e"><div class="ttname"><a href="namespacearmnn.html#a427c3d26d05b518b1ace407035f5920e">armnn::Splitter</a></div><div class="ttdeci">void Splitter(const SplitterQueueDescriptor &data)</div><div class="ttdef"><b>Definition:</b> <a href="_splitter_8hpp_source.html#l00017">Splitter.hpp:17</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_output_slot_html"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html">armnn::IOutputSlot</a></div><div class="ttdoc">An output connection slot for a layer. The output slot may be connected to 1 or more input slots of s...</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00037">INetwork.hpp:37</a></div></div>
+<div class="ttc" id="classarmnn_1_1_unimplemented_exception_html"><div class="ttname"><a href="classarmnn_1_1_unimplemented_exception.html">armnn::UnimplementedException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00098">Exceptions.hpp:98</a></div></div>
+<div class="ttc" id="classarmnn_1_1_mean_layer_html"><div class="ttname"><a href="classarmnn_1_1_mean_layer.html">armnn::MeanLayer</a></div><div class="ttdoc">This layer represents a mean operation. </div><div class="ttdef"><b>Definition:</b> <a href="_mean_layer_8hpp_source.html#l00014">MeanLayer.hpp:14</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00032">Types.hpp:32</a></div></div>
+<div class="ttc" id="classarmnn_1_1_output_handler_html_a97db12c41024f5545ef5cc4153e5443b"><div class="ttname"><a href="classarmnn_1_1_output_handler.html#a97db12c41024f5545ef5cc4153e5443b">armnn::OutputHandler::SetTensorInfo</a></div><div class="ttdeci">void SetTensorInfo(const TensorInfo &tensorInfo)</div><div class="ttdoc">Sets the TensorInfo used by this output handler. </div><div class="ttdef"><b>Definition:</b> <a href="_output_handler_8cpp_source.html#l00017">OutputHandler.cpp:17</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
+<div class="ttc" id="classarmnn_1_1_graph_html"><div class="ttname"><a href="classarmnn_1_1_graph.html">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00029">Graph.hpp:29</a></div></div>
+<div class="ttc" id="classarmnn_1_1_graph_html_a96d76fd10af39fbfabfd0caf0d1439fa"><div class="ttname"><a href="classarmnn_1_1_graph.html#a96d76fd10af39fbfabfd0caf0d1439fa">armnn::Graph::EraseLayer</a></div><div class="ttdeci">void EraseLayer(Iterator pos)</div><div class="ttdoc">Deletes the layer at the specified position. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00442">Graph.hpp:442</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a25dc224be48103343302b5a6fd588fe7"><div class="ttname"><a href="namespacearmnn.html#a25dc224be48103343302b5a6fd588fe7">armnn::Resize</a></div><div class="ttdeci">void Resize(Decoder< float > &in, const TensorInfo &inputInfo, Encoder< float > &out, const TensorInfo &outputInfo, DataLayoutIndexed dataLayout, armnn::ResizeMethod resizeMethod, bool alignCorners)</div><div class="ttdef"><b>Definition:</b> <a href="_resize_8cpp_source.html#l00035">Resize.cpp:35</a></div></div>
+<div class="ttc" id="_graph_8hpp_html"><div class="ttname"><a href="_graph_8hpp.html">Graph.hpp</a></div></div>
+<div class="ttc" id="_subgraph_view_selector_8cpp_html_ae7fc37b88ff10e9294ed1c72f2a25ac7"><div class="ttname"><a href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a></div><div class="ttdeci">Layer * m_Layer</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_selector_8cpp_source.html#l00239">SubgraphViewSelector.cpp:239</a></div></div>
+<div class="ttc" id="classarmnn_1_1_layer_html_abc0660dc440c8a285b456c9ef6383c26"><div class="ttname"><a href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">armnn::Layer::GetNumInputSlots</a></div><div class="ttdeci">unsigned int GetNumInputSlots() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00307">Layer.hpp:307</a></div></div>
+<div class="ttc" id="structarmnn_1_1_mean_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.html">armnn::MeanDescriptor</a></div><div class="ttdoc">A MeanDescriptor for the MeanLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00877">Descriptors.hpp:877</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_output_slot_html_ac1835f8756a9f03c02fcf9664e3a0fce"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">armnn::IOutputSlot::Connect</a></div><div class="ttdeci">virtual int Connect(IInputSlot &destination)=0</div></div>
+<div class="ttc" id="namespacearmnn_html_a7636fbbc4f8ea2d0cf9f3ac2d12a4c62"><div class="ttname"><a href="namespacearmnn.html#a7636fbbc4f8ea2d0cf9f3ac2d12a4c62">armnn::Activation</a></div><div class="ttdeci">float Activation(float in, ActivationFunction function, float a, float b)</div><div class="ttdef"><b>Definition:</b> <a href="_activation_8cpp_source.html#l00012">Activation.cpp:12</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a6ef2dcac2ec0683d52df1b051404e7d6"><div class="ttname"><a href="namespacearmnn.html#a6ef2dcac2ec0683d52df1b051404e7d6">armnn::Stack</a></div><div class="ttdeci">void Stack(const StackQueueDescriptor &data, std::vector< std::unique_ptr< Decoder< float >>> &inputs, Encoder< float > &output)</div><div class="ttdef"><b>Definition:</b> <a href="backends_2reference_2workloads_2_stack_8cpp_source.html#l00012">Stack.cpp:12</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ab8cf8f9fb6792e654c2d8d8382f6f01b"><div class="ttname"><a href="namespacearmnn.html#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.html#l00168">Types.hpp:168</a></div></div>
+<div class="ttc" id="classarmnn_1_1_layer_html_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00312">Layer.hpp:312</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ab023d9a7687e35c0f108458a094c1f56"><div class="ttname"><a href="namespacearmnn.html#ab023d9a7687e35c0f108458a094c1f56">armnn::DepthToSpace</a></div><div class="ttdeci">void DepthToSpace(const TensorInfo &inputInfo, const DepthToSpaceDescriptor &descriptor, const void *inputData, void *outputData, unsigned int dataTypeSize)</div><div class="ttdef"><b>Definition:</b> <a href="_depth_to_space_8cpp_source.html#l00018">DepthToSpace.cpp:18</a></div></div>
+<div class="ttc" id="_is_layer_supported_test_impl_8hpp_html_a26c3597a39bf385163bc2cc79d2de4a7"><div class="ttname"><a href="_is_layer_supported_test_impl_8hpp.html#a26c3597a39bf385163bc2cc79d2de4a7">DECLARE_LAYER_POLICY_EXCEPTION_2_PARAM</a></div><div class="ttdeci">#define DECLARE_LAYER_POLICY_EXCEPTION_2_PARAM(name)</div><div class="ttdef"><b>Definition:</b> <a href="_is_layer_supported_test_impl_8hpp_source.html#l00423">IsLayerSupportedTestImpl.hpp:423</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ac52e04c0e349e25bcdaa72c27395ef8f"><div class="ttname"><a href="namespacearmnn.html#ac52e04c0e349e25bcdaa72c27395ef8f">armnn::LogSoftmax</a></div><div class="ttdeci">void LogSoftmax(Decoder< float > &input, Encoder< float > &output, const TensorInfo &inputInfo, const LogSoftmaxDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_log_softmax_8cpp_source.html#l00030">LogSoftmax.cpp:30</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8hpp_source.html#l00014">InternalTypes.hpp:14</a></div></div>
+<div class="ttc" id="structarmnn_1_1_origins_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html">armnn::OriginsDescriptor</a></div><div class="ttdoc">An OriginsDescriptor for the ConcatLayer. Descriptor to configure the concatenation process...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00147">Descriptors.hpp:147</a></div></div>
+<div class="ttc" id="classarmnn_1_1_layer_html_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00310">Layer.hpp:310</a></div></div>
+<div class="ttc" id="classarmnn_1_1_quantized_lstm_layer_html"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.html">armnn::QuantizedLstmLayer</a></div><div class="ttdoc">This layer represents a QuantizedLstm operation. </div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.html#l00045">QuantizedLstmLayer.hpp:45</a></div></div>
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