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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>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;</div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_graph_8hpp.html">Graph.hpp</a>&gt;</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;</div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_factory_8hpp.html">backendsCommon/WorkloadFactory.hpp</a>&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;</div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;boost/core/ignore_unused.hpp&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;{</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<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>&#160;</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="comment">// Make a dummy TensorInfo object.</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType DataType&gt;</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<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>&#160;{</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <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>&#160;}</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<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>&#160;<span class="keyword">template</span>&lt;armnn::DataType DataType&gt;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<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>&#160;{</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <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>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i &lt; numInputs; i++)</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; info.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.push_back(MakeDummyTensorInfo&lt;DataType&gt;());</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; }</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> o=0; o &lt; numOutputs; o++)</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; info.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.push_back(MakeDummyTensorInfo&lt;DataType&gt;());</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; }</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <span class="keywordflow">return</span> info;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;}</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;<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>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> LayerType, <span class="keyword">typename</span> DescType = <span class="keyword">typename</span> LayerType::DescriptorType&gt;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;<span class="keyword">struct </span>DummyLayer</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;{</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; DummyLayer()</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <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>&lt;<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>&gt;(DescType(), <span class="stringliteral">&quot;&quot;</span>);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; }</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; ~DummyLayer()</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; {</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; 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>&#160; }</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <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>&#160;};</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;<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>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> LayerType&gt;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;<span class="keyword">struct </span>DummyLayer&lt;<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>, void&gt;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;{</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; DummyLayer()</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; {</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <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>&lt;<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>&gt;(<span class="stringliteral">&quot;&quot;</span>);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; }</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; ~DummyLayer()</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; {</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; 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>&#160; }</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <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>&#160;};</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;<span class="keyword">template</span>&lt;&gt;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;<span class="keyword">struct </span>DummyLayer&lt;<a class="code" href="namespacearmnn.html">armnn</a>::BatchNormalizationLayer&gt;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;{</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; DummyLayer()</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; {</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <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>&lt;<a class="code" href="classarmnn_1_1_batch_normalization_layer.html">armnn::BatchNormalizationLayer</a>&gt;(<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html">armnn::BatchNormalizationDescriptor</a>(), <span class="stringliteral">&quot;&quot;</span>);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_Mean = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_Variance = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_Beta = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_Gamma = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <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>&#160; }</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; ~DummyLayer()</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; {</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; 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>&#160; }</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <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>&#160;};</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;<span class="keyword">template</span>&lt;&gt;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;<span class="keyword">struct </span>DummyLayer&lt;<a class="code" href="namespacearmnn.html">armnn</a>::BatchToSpaceNdLayer&gt;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;{</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; DummyLayer()</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <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>&lt;<a class="code" href="classarmnn_1_1_batch_to_space_nd_layer.html">armnn::BatchToSpaceNdLayer</a>&gt;(<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html">armnn::BatchToSpaceNdDescriptor</a>(), <span class="stringliteral">&quot;&quot;</span>);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; }</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; ~DummyLayer()</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; {</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; 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>&#160; }</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; <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>&#160;};</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;<span class="keyword">template</span>&lt;&gt;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160;<span class="keyword">struct </span>DummyLayer&lt;<a class="code" href="namespacearmnn.html">armnn</a>::ConstantLayer, void&gt;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160;{</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; DummyLayer()</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; {</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <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>&lt;<a class="code" href="classarmnn_1_1_constant_layer.html">armnn::ConstantLayer</a>&gt;(<span class="stringliteral">&quot;&quot;</span>);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; }</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; ~DummyLayer()</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; {</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; 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>&#160; }</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <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>&#160;};</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;<span class="keyword">template</span>&lt;&gt;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160;<span class="keyword">struct </span>DummyLayer&lt;<a class="code" href="namespacearmnn.html">armnn</a>::InputLayer, <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a>&gt;</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;{</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; DummyLayer()</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <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>&lt;<a class="code" href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a>&gt;(<a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a>(), <span class="stringliteral">&quot;&quot;</span>);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; }</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; ~DummyLayer()</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; {</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; 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>&#160; }</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <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>&#160;};</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;<span class="keyword">template</span>&lt;&gt;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;<span class="keyword">struct </span>DummyLayer&lt;<a class="code" href="namespacearmnn.html">armnn</a>::ConcatLayer&gt;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;{</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; DummyLayer()</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; {</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <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>&#160; <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>&lt;<a class="code" href="classarmnn_1_1_concat_layer.html">armnn::ConcatLayer</a>&gt;(desc, <span class="stringliteral">&quot;&quot;</span>);</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; }</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; ~DummyLayer()</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; {</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; 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>&#160; }</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160;</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <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>&#160;};</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;<span class="keyword">template</span>&lt;&gt;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160;<span class="keyword">struct </span>DummyLayer&lt;<a class="code" href="namespacearmnn.html">armnn</a>::OutputLayer, <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a>&gt;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160;{</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; DummyLayer()</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; {</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; <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>&lt;<a class="code" href="classarmnn_1_1_output_layer.html">armnn::OutputLayer</a>&gt;(<a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a>(), <span class="stringliteral">&quot;&quot;</span>);</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; }</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; ~DummyLayer()</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; {</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; 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>&#160; }</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160;</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; <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>&#160;};</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160;</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160;<span class="keyword">template</span>&lt;&gt;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160;<span class="keyword">struct </span>DummyLayer&lt;<a class="code" href="namespacearmnn.html">armnn</a>::SplitterLayer&gt;</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160;{</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; DummyLayer()</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; {</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; <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>&#160; <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>&lt;<a class="code" href="classarmnn_1_1_splitter_layer.html">armnn::SplitterLayer</a>&gt;(desc, <span class="stringliteral">&quot;&quot;</span>);</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; }</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; ~DummyLayer()</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; {</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; 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>&#160; }</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160;</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; <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>&#160;};</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160;<span 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href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a> = dummyGraph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a>&lt;ConvolutionLayerType&gt;(desc, <span class="stringliteral">&quot;&quot;</span>);</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_Weight = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_Bias = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <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>&#160; }</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160;</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; ~DummyConvolutionLayer()</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; {</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; 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>&#160; }</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160;</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; 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>&#160;};</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160;<span class="keyword">template</span>&lt;&gt;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160;<span class="keyword">struct </span>DummyLayer&lt;<a class="code" href="namespacearmnn.html">armnn</a>::Convolution2dLayer&gt;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; : <span class="keyword">public</span> DummyConvolutionLayer&lt;armnn::Convolution2dLayer&gt;</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160;{</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160;};</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160;</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160;<span class="keyword">template</span>&lt;&gt;</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160;<span class="keyword">struct </span>DummyLayer&lt;armnn::DepthwiseConvolution2dLayer&gt;</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; : <span class="keyword">public</span> DummyConvolutionLayer&lt;armnn::DepthwiseConvolution2dLayer&gt;</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160;{</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;};</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160;</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160;<span class="keyword">template</span>&lt;&gt;</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160;<span class="keyword">struct </span>DummyLayer&lt;armnn::TransposeConvolution2dLayer&gt;</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; : <span class="keyword">public</span> DummyConvolutionLayer&lt;armnn::TransposeConvolution2dLayer&gt;</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160;{</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160;};</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160;</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160;<span class="keyword">template</span>&lt;&gt;</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160;<span class="keyword">struct </span>DummyLayer&lt;armnn::DetectionPostProcessLayer&gt;</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160;{</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; DummyLayer()</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; {</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; <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>&lt;<a class="code" href="classarmnn_1_1_detection_post_process_layer.html">armnn::DetectionPostProcessLayer</a>&gt;(<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html">armnn::DetectionPostProcessDescriptor</a>(), <span class="stringliteral">&quot;&quot;</span>);</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_Anchors = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; <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>&#160; }</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160;</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; ~DummyLayer()</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; {</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; 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>&#160; }</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160;</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; <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>&#160;};</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160;</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> LstmLayerType&gt;</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160;<span class="keyword">struct </span>DummyLstmLayer</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160;{</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; DummyLstmLayer()</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; {</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; <span class="keyword">typename</span> LstmLayerType::DescriptorType desc;</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; desc.m_CifgEnabled = <span class="keyword">false</span>;</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160;</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; <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>&lt;LstmLayerType&gt;(<a class="code" href="structarmnn_1_1_lstm_descriptor.html">armnn::LstmDescriptor</a>(), <span class="stringliteral">&quot;&quot;</span>);</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_BasicParameters.m_InputToForgetWeights = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_BasicParameters.m_InputToCellWeights = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_BasicParameters.m_InputToOutputWeights = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_BasicParameters.m_RecurrentToForgetWeights = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_BasicParameters.m_RecurrentToCellWeights = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_BasicParameters.m_RecurrentToOutputWeights = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_BasicParameters.m_ForgetGateBias = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_BasicParameters.m_CellBias = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_BasicParameters.m_OutputGateBias = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; <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>&#160;</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_CifgParameters.m_InputToInputWeights = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_CifgParameters.m_RecurrentToInputWeights = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_CifgParameters.m_CellToInputWeights = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_CifgParameters.m_InputGateBias = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; <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>&#160; }</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160;</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; ~DummyLstmLayer()</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; {</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; 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>&#160; }</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160;</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; <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>&#160;};</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160;</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160;<span class="keyword">template</span>&lt;&gt;</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160;<span class="keyword">struct </span>DummyLayer&lt;armnn::LstmLayer&gt;</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; : <span class="keyword">public</span> DummyLstmLayer&lt;armnn::LstmLayer&gt;</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160;{</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160;};</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160;</div><div class="line"><a name="l00311"></a><span 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name="l00317"></a><span class="lineno"> 317</span>&#160;</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_QuantizedLstmParameters.m_InputToInputWeights = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_QuantizedLstmParameters.m_InputToForgetWeights = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_QuantizedLstmParameters.m_InputToCellWeights = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_QuantizedLstmParameters.m_InputToOutputWeights = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160; <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>&#160;</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_QuantizedLstmParameters.m_RecurrentToInputWeights = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_QuantizedLstmParameters.m_RecurrentToForgetWeights = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_QuantizedLstmParameters.m_RecurrentToCellWeights = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_QuantizedLstmParameters.m_RecurrentToOutputWeights = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; <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>&#160;</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_QuantizedLstmParameters.m_InputGateBias = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_QuantizedLstmParameters.m_ForgetGateBias = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_QuantizedLstmParameters.m_CellBias = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; <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>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_QuantizedLstmParameters.m_OutputGateBias = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; <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>&#160; }</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160;</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; ~DummyLayer()</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; {</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; 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>&#160; }</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160;</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; <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>&#160;};</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160;</div><div class="line"><a name="l00354"></a><span class="lineno"> 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class="code" href="classarmnn_1_1_fully_connected_layer.html">armnn::FullyConnectedLayer</a>&gt;(desc, <span class="stringliteral">&quot;&quot;</span>);</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; <a class="code" href="_subgraph_view_selector_8cpp.html#ae7fc37b88ff10e9294ed1c72f2a25ac7">m_Layer</a>-&gt;m_Weight = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; <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>&#160; }</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160;</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; ~DummyLayer()</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; {</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160; 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>&#160; }</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160;</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; <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>&#160;};</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160;</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160;<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>&#160;<span class="keyword">template</span>&lt;armnn::LayerType&gt;</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160;<span class="keyword">struct </span>Tag{};</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160;</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>&#160;<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>&#160;<span class="preprocessor">template&lt;armnn::DataType DataType&gt; \</span></div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160;<span class="preprocessor">struct LayerTypePolicy&lt;armnn::LayerType::name, DataType&gt; \</span></div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160;<span class="preprocessor">{ \</span></div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160;<span class="preprocessor"> using Type = armnn::name##Layer; \</span></div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160;<span class="preprocessor"> using Desc = descType; \</span></div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160;<span class="preprocessor"> using QueueDesc = armnn::name##QueueDescriptor; \</span></div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160;<span class="preprocessor"> constexpr static const char* NameStr = #name; \</span></div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160;<span class="preprocessor"> constexpr static const bool IsException = false; \</span></div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160;<span class="preprocessor"> \</span></div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160;<span class="preprocessor"> static std::unique_ptr&lt;armnn::IWorkload&gt; MakeDummyWorkload(armnn::IWorkloadFactory *factory, \</span></div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160;<span class="preprocessor"> unsigned int nIn, unsigned int nOut) \</span></div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160;<span class="preprocessor"> { \</span></div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160;<span class="preprocessor"> QueueDesc desc; \</span></div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160;<span class="preprocessor"> armnn::WorkloadInfo info = MakeDummyWorkloadInfo&lt;DataType&gt;(nIn, nOut); \</span></div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160;<span class="preprocessor"> return factory-&gt;Create##name(desc, info); \</span></div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160;<span class="preprocessor"> } \</span></div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160;<span class="preprocessor">};</span></div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160;</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160;<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>&#160;<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>&#160;<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>&#160;</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160;<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>&#160;<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>&#160;<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>&#160;</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160;</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>&#160;<span class="preprocessor">#define DECLARE_LAYER_POLICY_EXCEPTION(name, descType) \</span></div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160;<span class="preprocessor">template&lt;armnn::DataType DataType&gt; \</span></div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160;<span class="preprocessor">struct LayerTypePolicy&lt;armnn::LayerType::name, DataType&gt; \</span></div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160;<span class="preprocessor">{ \</span></div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160;<span class="preprocessor"> using Type = armnn::name##Layer; \</span></div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160;<span class="preprocessor"> using Desc = descType; \</span></div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160;<span class="preprocessor"> constexpr static const char* NameStr = #name; \</span></div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160;<span class="preprocessor"> constexpr static const bool IsException = true; \</span></div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160;<span class="preprocessor"> \</span></div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160;<span class="preprocessor"> static std::unique_ptr&lt;armnn::IWorkload&gt; MakeDummyWorkload(armnn::IWorkloadFactory 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532</span>&#160;<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>&#160;</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>&#160;<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>&#160;</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>&#160;<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>&#160;</div><div class="line"><a name="l00538"></a><span 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Type&gt;</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>&#160;<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>&amp; layer)</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>&#160;{</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160; <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>&#160;}</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>&#160;</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>&#160;<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>&#160;<span class="keyword">template</span>&lt;armnn::LayerType Type&gt;</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>&#160;<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>&amp; layer)</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>&#160;{</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>&#160; <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>&#160;}</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>&#160;</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>&#160;<span class="keyword">template</span>&lt;&gt;</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>&#160;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> GetNumInputs&lt;armnn::LayerType::Concat&gt;(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>&amp; layer)</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>&#160;{</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>&#160; boost::ignore_unused(layer);</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>&#160; <span class="keywordflow">return</span> 2;</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>&#160;}</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>&#160;</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>&#160;<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>&#160;<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>&#160;<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>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> FactoryType, armnn::DataType DataType, armnn::LayerType Type&gt;</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>&#160;<span class="keywordtype">bool</span> IsLayerSupportedTest(<a class="code" href="_cl_layer_tests_8cpp.html#a255d08081b372809a176b588529296aa">FactoryType</a> *factory, Tag&lt;Type&gt;)</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>&#160;{</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>&#160; <span class="keyword">using</span> LayerPolicy = LayerTypePolicy&lt;Type, DataType&gt;;</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>&#160; <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>&#160; <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>&#160; DummyLayer&lt;LayerType, LayerDesc&gt; layer;</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>&#160;</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>&#160; <span 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name="l00582"></a><span class="lineno"> 582</span>&#160;</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>&#160; <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>&#160; DummyLayer&lt;armnn::ConstantLayer, void&gt; previousLayer;</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>&#160; <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>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> output = MakeDummyTensorInfo&lt;DataType&gt;();</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>&#160; previousLayer.m_Layer-&gt;GetOutputSlot(0).SetTensorInfo(output);</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>&#160; 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name="l00601"></a><span class="lineno"> 601</span>&#160; std::string layerName = LayerPolicy::NameStr;</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>&#160; std::string reasonIfUnsupported;</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>&#160; <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>&#160; {</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>&#160; std::string errorMsg = <span class="stringliteral">&quot; layer expected support but found none.&quot;</span>;</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>&#160; <span class="keywordflow">try</span></div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>&#160; {</div><div 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<span class="keyword">false</span>;</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>&#160; }</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>&#160; }</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>&#160;}</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>&#160;</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>&#160;<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>&#160;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>&#160;{</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>&#160; <span class="keywordflow">return</span> <span class="keyword">static_cast&lt;</span><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a><span class="keyword">&gt;</span>(<span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(type)+1);</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>&#160;}</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>&#160;</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>&#160;<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>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> FactoryType, armnn::DataType DataType, armnn::LayerType Type&gt;</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>&#160;<span class="keywordtype">bool</span> IsLayerSupportedTestsImpl(<a class="code" href="_cl_layer_tests_8cpp.html#a255d08081b372809a176b588529296aa">FactoryType</a> *factory, Tag&lt;armnn::LayerType::LastLayer&gt;)</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>&#160;{</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>&#160; <span class="keywordflow">return</span> IsLayerSupportedTest&lt;FactoryType, DataType, Type&gt;(factory, Tag&lt;Type&gt;());</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>&#160;}</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>&#160;</div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>&#160;<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>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> FactoryType, armnn::DataType DataType, armnn::LayerType Type&gt;</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>&#160;<span class="keywordtype">bool</span> IsLayerSupportedTestsImpl(<a class="code" href="_cl_layer_tests_8cpp.html#a255d08081b372809a176b588529296aa">FactoryType</a> *factory, Tag&lt;Type&gt;)</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>&#160;{</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>&#160; <span class="keywordtype">bool</span> v = IsLayerSupportedTest&lt;FactoryType, DataType, Type&gt;(factory, Tag&lt;Type&gt;());</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>&#160;</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>&#160; <span class="keywordflow">return</span> v &amp;&amp;</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>&#160; IsLayerSupportedTestsImpl&lt;FactoryType, DataType, NextType(Type)&gt;</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>&#160; (factory, Tag&lt;NextType(Type)&gt;());</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>&#160;}</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>&#160;</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>&#160;<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>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> FactoryType, armnn::DataType DataType&gt;</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>&#160;<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>&#160;{</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>&#160; <span class="keywordflow">return</span> IsLayerSupportedTestsImpl&lt;FactoryType, DataType&gt;(factory, Tag&lt;armnn::LayerType::FirstLayer&gt;());</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>&#160;}</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>&#160;</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>&#160;<span class="keyword">template</span>&lt;armnn::LayerType Type&gt;</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>&#160;<span class="keywordtype">bool</span> TestLayerTypeMatches()</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>&#160;{</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>&#160; <span class="keyword">using</span> LayerPolicy = LayerTypePolicy&lt;Type, armnn::DataType::Float32&gt;;</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>&#160; <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>&#160; <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>&#160; DummyLayer&lt;LayerType, LayerDesc&gt; layer;</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>&#160;</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>&#160; std::stringstream ss;</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>&#160; ss &lt;&lt; LayerPolicy::NameStr &lt;&lt; <span class="stringliteral">&quot; layer type mismatches expected layer type value.&quot;</span>;</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>&#160; <span class="keywordtype">bool</span> v = Type == layer.m_Layer-&gt;GetType();</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>&#160; BOOST_CHECK_MESSAGE(v, ss.str());</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>&#160; <span class="keywordflow">return</span> v;</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>&#160;}</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>&#160;</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>&#160;<span class="keyword">template</span>&lt;armnn::LayerType Type&gt;</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>&#160;<span class="keywordtype">bool</span> LayerTypeMatchesTestImpl(Tag&lt;armnn::LayerType::LastLayer&gt;)</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>&#160;{</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>&#160; <span class="keywordflow">return</span> TestLayerTypeMatches&lt;Type&gt;();</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>&#160;}</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>&#160;</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>&#160;<span class="keyword">template</span>&lt;armnn::LayerType Type&gt;</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>&#160;<span class="keywordtype">bool</span> LayerTypeMatchesTestImpl(Tag&lt;Type&gt;)</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>&#160;{</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>&#160; <span class="keywordflow">return</span> TestLayerTypeMatches&lt;Type&gt;() &amp;&amp;</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>&#160; LayerTypeMatchesTestImpl&lt;NextType(Type)&gt;(Tag&lt;NextType(Type)&gt;());</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>&#160;}</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>&#160;</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> FactoryType, <span class="keyword">typename</span> LayerType, armnn::DataType InputDataType , armnn::DataType OutputDataType&gt;</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>&#160;<span class="keywordtype">bool</span> IsConvertLayerSupportedTests(std::string&amp; reasonIfUnsupported)</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>&#160;{</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>&#160; <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>&#160; <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>&lt;<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>&gt;(<span class="stringliteral">&quot;LayerName&quot;</span>);</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>&#160;</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>&#160; <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>&lt;<a class="code" href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a>&gt;(0, <span class="stringliteral">&quot;input&quot;</span>);</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>&#160; <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>&lt;<a class="code" href="classarmnn_1_1_output_layer.html">armnn::OutputLayer</a>&gt;(0, <span class="stringliteral">&quot;output&quot;</span>);</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>&#160;</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>&#160; <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>&#160; <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>&#160;</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>&#160; input-&gt;GetOutputSlot(0).Connect(layer-&gt;GetInputSlot(0));</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>&#160; input-&gt;GetOutputHandler(0).SetTensorInfo(inputTensorInfo);</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>&#160; layer-&gt;GetOutputSlot(0).Connect(output-&gt;GetInputSlot(0));</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>&#160; layer-&gt;GetOutputHandler(0).SetTensorInfo(outputTensorInfo);</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>&#160;</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>&#160; <span class="keywordtype">bool</span> result = FactoryType::IsLayerSupported(*layer, InputDataType, reasonIfUnsupported);</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>&#160;</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>&#160; <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>&#160;}</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>&#160;</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> FactoryType, armnn::DataType InputDataType , armnn::DataType OutputDataType&gt;</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>&#160;<span class="keywordtype">bool</span> IsMeanLayerSupportedTests(std::string&amp; reasonIfUnsupported)</div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>&#160;{</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>&#160; <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>&#160; <span class="keyword">static</span> <span class="keyword">const</span> std::vector&lt;unsigned&gt; axes = {1, 0};</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>&#160; <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>&#160;</div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>&#160; <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>&lt;<a class="code" href="classarmnn_1_1_mean_layer.html">armnn::MeanLayer</a>&gt;(desc, <span class="stringliteral">&quot;LayerName&quot;</span>);</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>&#160;</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>&#160; <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>&lt;<a class="code" href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a>&gt;(0, <span class="stringliteral">&quot;input&quot;</span>);</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>&#160; <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>&lt;<a class="code" href="classarmnn_1_1_output_layer.html">armnn::OutputLayer</a>&gt;(0, <span class="stringliteral">&quot;output&quot;</span>);</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>&#160;</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>&#160; <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>&#160; <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>&#160;</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>&#160; input-&gt;GetOutputSlot(0).Connect(layer-&gt;<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>&#160; input-&gt;GetOutputHandler(0).SetTensorInfo(inputTensorInfo);</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>&#160; layer-&gt;<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-&gt;GetInputSlot(0));</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>&#160; layer-&gt;<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>&#160;</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>&#160; <span class="keywordtype">bool</span> result = FactoryType::IsLayerSupported(*layer, InputDataType, 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OutputDataType&gt;</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span>&#160;<span class="keywordtype">bool</span> IsMeanLayerNotSupportedTests(std::string&amp; reasonIfUnsupported)</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span>&#160;{</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>&#160; <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>&#160; <span class="keyword">static</span> <span class="keyword">const</span> std::vector&lt;unsigned&gt; axes = {};</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>&#160; <span class="comment">// Set keepDims == true</span></div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>&#160; <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>&#160;</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>&#160; <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>&lt;<a class="code" href="classarmnn_1_1_mean_layer.html">armnn::MeanLayer</a>&gt;(desc, <span class="stringliteral">&quot;LayerName&quot;</span>);</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span>&#160;</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>&#160; <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>&lt;<a class="code" href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a>&gt;(0, <span class="stringliteral">&quot;input&quot;</span>);</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>&#160; <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>&lt;<a class="code" href="classarmnn_1_1_output_layer.html">armnn::OutputLayer</a>&gt;(0, <span class="stringliteral">&quot;output&quot;</span>);</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>&#160;</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>&#160; <span class="comment">// Mismatching number of tensor dimensions</span></div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>&#160; <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>&#160; <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>&#160;</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>&#160; input-&gt;GetOutputSlot(0).Connect(layer-&gt;<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>&#160; input-&gt;GetOutputHandler(0).SetTensorInfo(inputTensorInfo);</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>&#160; layer-&gt;<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-&gt;GetInputSlot(0));</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>&#160; layer-&gt;<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>&#160;</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>&#160; <span class="keywordtype">bool</span> result = FactoryType::IsLayerSupported(*layer, InputDataType, reasonIfUnsupported);</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span>&#160;</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>&#160; <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span>&#160;}</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>&#160;</div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span>&#160;</div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span>&#160;} <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 &amp;dataLayout, const TensorInfo &amp;inputTensorInfo, const TensorInfo &amp;outputTensorInfo, const std::vector&lt; unsigned int &gt; &amp;blockShape, const std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt;&gt; &amp;cropsData, Decoder&lt; float &gt; &amp;inputDecoder, Encoder&lt; float &gt; &amp;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 &amp; 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&lt; float &gt; &amp;rInputDecoder, Encoder&lt; float &gt; &amp;rOutputEncoder, const TensorInfo &amp;inputInfo, const TensorInfo &amp;outputInfo, const Pooling2dDescriptor &amp;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 &amp;dstShape, const armnn::PermutationVector &amp;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 &amp;inputInfo, const T *inputData, LayerGuid guid, const std::string &amp;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 &amp;boxEncodingsInfo, const TensorInfo &amp;scoresInfo, const TensorInfo &amp;anchorsInfo, const TensorInfo &amp;detectionBoxesInfo, const TensorInfo &amp;detectionClassesInfo, const TensorInfo &amp;detectionScoresInfo, const TensorInfo &amp;numDetectionsInfo, const DetectionPostProcessDescriptor &amp;desc, Decoder&lt; float &gt; &amp;boxEncodings, Decoder&lt; float &gt; &amp;scores, Decoder&lt; float &gt; &amp;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&lt; TensorInfo &gt; 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 &amp;inputInfo, const TensorInfo &amp;outputInfo, const SpaceToBatchNdDescriptor &amp;params, Decoder&lt; float &gt; &amp;inputData, Encoder&lt; float &gt; &amp;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 &amp;paramsInfo, const TensorInfo &amp;indicesInfo, const TensorInfo &amp;outputInfo, Decoder&lt; float &gt; &amp;params, const int32_t *indices, Encoder&lt; float &gt; &amp;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 &amp;&amp;... 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 &amp;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>
<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div>
<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&lt; float &gt; &amp;in, Encoder&lt; float &gt; &amp;out, const TensorInfo &amp;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 &amp;inputInfo, const TensorInfo &amp;outputInfo, std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt;&gt; 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&lt; float &gt; &amp;in, int32_t *out, const TensorInfo &amp;inputTensorInfo, const TensorInfo &amp;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 &amp;inputInfo, const armnn::TensorInfo &amp;outputInfo, const std::vector&lt; unsigned int &gt; &amp;axis, Decoder&lt; float &gt; &amp;input, Encoder&lt; float &gt; &amp;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&lt; TensorInfo &gt; 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 &amp;rInputShape, Decoder&lt; float &gt; &amp;rInputDecoder, const TensorShape &amp;rOutputShape, Encoder&lt; float &gt; &amp;rOutputEncoder, Decoder&lt; float &gt; &amp;rWeightDecoder, Decoder&lt; float &gt; &amp;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 &amp;inputInfo, const StridedSliceDescriptor &amp;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 &amp;inputInfo, const SliceDescriptor &amp;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 &amp;inputInfo, const TensorInfo &amp;outputInfo, const SpaceToDepthDescriptor &amp;params, Decoder&lt; float &gt; &amp;inputData, Encoder&lt; float &gt; &amp;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 &amp;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 &amp;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&lt; float &gt; &amp;in, const TensorInfo &amp;inputInfo, Encoder&lt; float &gt; &amp;out, const TensorInfo &amp;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 &amp;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 &amp;data, std::vector&lt; std::unique_ptr&lt; Decoder&lt; float &gt;&gt;&gt; &amp;inputs, Encoder&lt; float &gt; &amp;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 &amp; 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 &amp;inputInfo, const DepthToSpaceDescriptor &amp;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&lt; float &gt; &amp;input, Encoder&lt; float &gt; &amp;output, const TensorInfo &amp;inputInfo, const LogSoftmaxDescriptor &amp;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 &amp; 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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