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<div class="title">SubgraphUtils.hpp</div> </div>
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<a href="_subgraph_utils_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>  </div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#pragma once</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>  </div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_strategy_base_8hpp.html">armnn/StrategyBase.hpp</a>></span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_descriptors_8hpp.html">armnn/Descriptors.hpp</a>></span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_fold_pad_into_layer2d_8hpp.html">optimizations/FoldPadIntoLayer2d.hpp</a>></span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>  </div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> {</div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  </div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">namespace</span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> {</div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"></span> </div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment">/// Checks if a Layer has a DataLayout that is either NCHW or NCDHW.</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"></span><span class="keyword">class </span>CheckForNCHW : <span class="keyword">public</span> StrategyBase<NoThrowStrategy></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> {</div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="keyword">public</span>:</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  CheckForNCHW()</div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  {}</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  </div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keywordtype">void</span> ExecuteStrategy(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer,</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_base_descriptor.html">armnn::BaseDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keyword">const</span> std::vector<armnn::ConstTensor>& constants,</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name,</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a> <span class="keywordtype">id</span> = 0)<span class="keyword"> override</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a>(layer, constants, <span class="keywordtype">id</span>, name);</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">switch</span> (layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.html#adceb04ae84c524e4d01881e3754a4d59">GetType</a>())</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  {</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::LayerType::BatchMatMul</a>:</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  {</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keyword">auto</span> desc = <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html">armnn::BatchMatMulDescriptor</a>&<span class="keyword">></span>(descriptor);</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  m_Result = desc.m_DataLayoutX == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> || desc.m_DataLayoutY == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>;</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  }</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::LayerType::BatchNormalization</a>:</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  {</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  CheckDescForNCHW(<span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html">armnn::BatchNormalizationDescriptor</a>&<span class="keyword">></span>(descriptor));</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  }</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::LayerType::BatchToSpaceNd</a>:</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  {</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  CheckDescForNCHW(<span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html">armnn::BatchToSpaceNdDescriptor</a>&<span class="keyword">></span>(descriptor));</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  }</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a>:</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  {</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  CheckDescForNCHW(<span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_convolution2d_descriptor.html">armnn::Convolution2dDescriptor</a>&<span class="keyword">></span>(descriptor));</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  }</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::LayerType::Convolution3d</a>:</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  {</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  CheckDescForNCHW(<span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_convolution3d_descriptor.html">armnn::Convolution3dDescriptor</a>&<span class="keyword">></span>(descriptor));</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  }</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a>:</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  {</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  CheckDescForNCHW(<span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">armnn::DepthwiseConvolution2dDescriptor</a>&<span class="keyword">></span>(descriptor));</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  }</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">armnn::LayerType::InstanceNormalization</a>:</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  {</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  CheckDescForNCHW(<span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_instance_normalization_descriptor.html">armnn::InstanceNormalizationDescriptor</a>&<span class="keyword">></span>(descriptor));</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  }</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">armnn::LayerType::L2Normalization</a>:</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  {</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  CheckDescForNCHW(<span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_l2_normalization_descriptor.html">armnn::L2NormalizationDescriptor</a>&<span class="keyword">></span>(descriptor));</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  }</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">armnn::LayerType::Normalization</a>:</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  {</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  CheckDescForNCHW(<span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_normalization_descriptor.html">armnn::NormalizationDescriptor</a>&<span class="keyword">></span>(descriptor));</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  }</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::LayerType::Pooling2d</a>:</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  {</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  CheckDescForNCHW(<span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_pooling2d_descriptor.html">armnn::Pooling2dDescriptor</a>&<span class="keyword">></span>(descriptor));</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  }</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">armnn::LayerType::Pooling3d</a>:</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  {</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  CheckDescForNCHW(<span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_pooling3d_descriptor.html">armnn::Pooling3dDescriptor</a>&<span class="keyword">></span>(descriptor));</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  }</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">armnn::LayerType::SpaceToBatchNd</a>:</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  {</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  CheckDescForNCHW(<span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html">armnn::SpaceToBatchNdDescriptor</a>&<span class="keyword">></span>(descriptor));</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  }</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">armnn::LayerType::SpaceToDepth</a>:</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  {</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  CheckDescForNCHW(<span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html">armnn::SpaceToDepthDescriptor</a>&<span class="keyword">></span>(descriptor));</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  }</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">armnn::LayerType::StridedSlice</a>:</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  {</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  CheckDescForNCHW(<span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_strided_slice_descriptor.html">armnn::StridedSliceDescriptor</a>&<span class="keyword">></span>(descriptor));</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  }</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  {</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  m_Result = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  }</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  }</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  }</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="comment"></span> </div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="comment"> /// Returns true if the Layer had a DataLayout and it was NCHW or NCDHW.</span></div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="comment"> /// Returns false if the Layer either doesn't have a DataLayout or if it</span></div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="comment"> /// had a DataLayout that was neither NCHW nor NCDHW.</span></div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="comment"></span> <span class="keywordtype">bool</span> Result()</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  {</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">return</span> m_Result;</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  }</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  </div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="keyword">private</span>:</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Descriptor></div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordtype">void</span> CheckDescForNCHW(<span class="keyword">const</span> Descriptor& descriptor)</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  {</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  m_Result = (descriptor.m_DataLayout == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>) || (descriptor.m_DataLayout == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a884e0167ebf9bbe6cfd6ca5ab97ab015">DataLayout::NCDHW</a>);</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  }</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  </div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordtype">bool</span> m_Result = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span> };</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  </div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="comment">//</span></div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="comment">// this helper only works if all layers where the inputs connect to are not selected</span></div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="comment">//</span></div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  </div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <a class="code" href="classarmnn_1_1_subgraph_view.html#a4ad949634fd697549da161eb09d8b7fd">SubgraphView::IInputSlots</a> CreateIInputsFrom(<span class="keyword">const</span> std::vector<armnn::IConnectableLayer*>& layers)</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span> {</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="classarmnn_1_1_subgraph_view.html#a4ad949634fd697549da161eb09d8b7fd">SubgraphView::IInputSlots</a> result;</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& layer : layers)</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  {</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0 ; i < layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.html#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a>(); ++i)</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  {</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  result.push_back(&(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(i)));</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  }</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  }</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordflow">return</span> result;</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span> }</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  </div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span> <span class="comment">//</span></div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span> <span class="comment">// this helper only works if all layers where the outputs connect to are not selected</span></div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span> <span class="comment">//</span></div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  </div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span> <a class="code" href="classarmnn_1_1_subgraph_view.html#a3f717693851810942d3ae0180a97fb4c">SubgraphView::IOutputSlots</a> CreateIOutputsFrom(<span class="keyword">const</span> std::vector<armnn::IConnectableLayer*>& layers)</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span> {</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <a class="code" href="classarmnn_1_1_subgraph_view.html#a3f717693851810942d3ae0180a97fb4c">SubgraphView::IOutputSlots</a> result;</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> &&layer: layers)</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  {</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.html#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a>(); ++i)</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  {</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  result.push_back(&(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(i)));</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  }</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  }</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">return</span> result;</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span> }</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  </div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span> <span class="comment">// Type used to hold the slot numbers to create the lists from. There should</span></div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="comment">// be a SlotList for each layer in the layers list</span></div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="keyword">typedef</span> std::vector<int> SlotList;</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  </div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="keyword">template</span><<span class="keyword">typename</span> ILayerType></div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span> <a class="code" href="classarmnn_1_1_subgraph_view.html#a4ad949634fd697549da161eb09d8b7fd">SubgraphView::IInputSlots</a> CreateIInputsFromSlotLists(<span class="keyword">const</span> std::vector<ILayerType*>& layers,</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keyword">const</span> std::vector<SlotList>& layersSlotLists)</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span> {</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <a class="code" href="_exceptions_8hpp.html#a31e4268013316d114e8927e4c0035ec5">ARMNN_THROW_INVALIDARG_IF_FALSE</a>(layersSlotLists.size() == layers.size());</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  </div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <a class="code" href="classarmnn_1_1_subgraph_view.html#a4ad949634fd697549da161eb09d8b7fd">SubgraphView::IInputSlots</a> result;</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  </div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> layerIdx = 0; layerIdx < layers.size(); ++layerIdx)</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  {</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keyword">const</span> SlotList& slotList = layersSlotLists[layerIdx];</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIdx = 0 ; slotIdx < layers[layerIdx]->GetNumInputSlots(); ++slotIdx)</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  {</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">if</span> (std::find(slotList.begin(), slotList.end(), slotIdx) != slotList.end())</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  {</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  result.push_back(&(layers[layerIdx]->GetInputSlot(slotIdx)));</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  }</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  }</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  }</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordflow">return</span> result;</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span> }</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  </div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span> <span class="keyword">template</span><<span class="keyword">typename</span> ILayerType></div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span> <a class="code" href="classarmnn_1_1_subgraph_view.html#a3f717693851810942d3ae0180a97fb4c">SubgraphView::IOutputSlots</a> CreateIOutputsFromSlotLists(<span class="keyword">const</span> std::vector<ILayerType*>& layers,</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keyword">const</span> std::vector<SlotList>& layersSlotLists)</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span> {</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <a class="code" href="_exceptions_8hpp.html#a31e4268013316d114e8927e4c0035ec5">ARMNN_THROW_INVALIDARG_IF_FALSE</a>(layersSlotLists.size() == layers.size());</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  </div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <a class="code" href="classarmnn_1_1_subgraph_view.html#a3f717693851810942d3ae0180a97fb4c">SubgraphView::IOutputSlots</a> result;</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> layerIdx = 0; layerIdx < layers.size(); ++layerIdx)</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  {</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keyword">const</span> SlotList& slotList = layersSlotLists[layerIdx];</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIdx = 0; slotIdx < layers[layerIdx]->GetNumOutputSlots(); ++slotIdx)</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  {</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordtype">bool</span> foundIt = std::find(slotList.begin(), slotList.end(), slotIdx) != slotList.end();</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">if</span> (foundIt)</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  {</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  result.push_back(&(layers[layerIdx]->GetOutputSlot(slotIdx)));</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  }</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  }</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  }</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keywordflow">return</span> result;</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span> }</div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span> }</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  </div>
<div class="line"><a name="l00213"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ab6b4f5f3473b0ce4b241d454f8cbdd26"> 213</a></span> <span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#ab6b4f5f3473b0ce4b241d454f8cbdd26">IsNCHW</a>(<a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>& layer)</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span> {</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  CheckForNCHW check;</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  layer.<a class="code" href="classarmnn_1_1_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ExecuteStrategy</a>(check);</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keywordflow">return</span> check.Result();</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span> }</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  </div>
<div class="line"><a name="l00220"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a5afd10e5e84ebf5cb8cfc8707492eda7"> 220</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#a5afd10e5e84ebf5cb8cfc8707492eda7">ReportUntouchedLayers</a>(<a class="code" href="classarmnn_1_1_optimization_views.html">OptimizationViews</a>& optimizationViews, std::map<LayerGuid, Layer*> untouched)</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span> {</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  std::vector<Layer*> untouchedVector;</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& pair : untouched)</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  {</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>* layer = pair.second;</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <a class="code" href="classarmnn_1_1_subgraph_view.html">SubgraphView</a> subgraphView({layer},</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  CreateIInputsFrom({layer}),</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  CreateIOutputsFrom({layer}));</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  optimizationViews.<a class="code" href="classarmnn_1_1_optimization_views.html#a28e41bdd6b719a3d60a1a0de2e1ebc95">AddUntouchedSubgraph</a>(std::move(subgraphView));</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  }</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span> }</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  </div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span> <span class="keyword">template</span><<span class="keyword">typename</span> LayerType></div>
<div class="line"><a name="l00234"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ae4b69405416c09ee6878e01d27c9450b"> 234</a></span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>* <a class="code" href="namespacearmnn.html#ae4b69405416c09ee6878e01d27c9450b">FoldPadLayer</a>(<a class="code" href="classarmnn_1_1_optimization_views.html">OptimizationViews</a>& optimizationViews,</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>* baseLayer,</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>* replacementLayer,</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <a class="code" href="classarmnn_1_1_pad_layer.html">PadLayer</a>* padLayer)</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span> {</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <a class="code" href="classarmnn_1_1_subgraph_view.html">SubgraphView</a> substitutionSubgraph({padLayer, baseLayer},</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  CreateIInputsFrom({padLayer}),</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  CreateIOutputsFrom({baseLayer}));</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <a class="code" href="classarmnn_1_1_subgraph_view.html">SubgraphView</a> replacementSubgraph(replacementLayer);</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  </div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  optimizationViews.<a class="code" href="classarmnn_1_1_optimization_views.html#a57340147dcb1c0ae05fdf14ff7af8a01">AddSubstitution</a>({substitutionSubgraph, replacementSubgraph});</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  </div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keywordflow">return</span> replacementLayer;</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span> }</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span> <span class="comment"></span> </div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span> <span class="comment">/// Checks if the Layer is connected to any Layer that has an NCHW layout.</span></div>
<div class="line"><a name="l00250"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ac5089a2ee61f22570982e7a56588365a"> 250</a></span> <span class="comment"></span><span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#ac5089a2ee61f22570982e7a56588365a">ConnectedToLayerWithNCHW</a>(<a class="code" href="classarmnn_1_1_layer.html">Layer</a>* baseLayer)</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span> {</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& parentLayer = baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  </div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#ab6b4f5f3473b0ce4b241d454f8cbdd26">IsNCHW</a>(parentLayer))</div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  {</div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  }</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).GetNumConnections(); ++i)</div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  {</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& nextLayer = baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#a048e8c1536cf6b8871b093a73a4a3a85">GetConnection</a>(i)-><a class="code" href="classarmnn_1_1_input_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#ab6b4f5f3473b0ce4b241d454f8cbdd26">IsNCHW</a>(nextLayer))</div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  {</div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  }</div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  }</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span> }</div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span> <span class="comment"></span> </div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span> <span class="comment">/// Checks the Layer's Connections to see if it's connected to a Layer with the provided layerType. If dimSize is</span></div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span> <span class="comment">/// provided will also check if the connecting Tensor has more than that number of dimensions</span></div>
<div class="line"><a name="l00271"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a4f89a6ce848b8d9787761cdd1dbb751a"> 271</a></span> <span class="comment"></span><span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a4f89a6ce848b8d9787761cdd1dbb751a">ConnectedToLayerType</a>(<a class="code" href="classarmnn_1_1_layer.html">Layer</a>* baseLayer, <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> layerType, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimSize = 0)</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span> {</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& parentLayer = baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> parentTensorInfo = baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>();</div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  </div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keywordflow">if</span> (parentTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() > dimSize && parentLayer.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == layerType)</div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  {</div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  }</div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).GetNumConnections(); ++i)</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  {</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& nextLayer = baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#a048e8c1536cf6b8871b093a73a4a3a85">GetConnection</a>(i)-><a class="code" href="classarmnn_1_1_input_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> nextTensorInfo = baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#a048e8c1536cf6b8871b093a73a4a3a85">GetConnection</a>(i)-><a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>();</div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  </div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keywordflow">if</span> (nextTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() > dimSize && nextLayer.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == layerType)</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  {</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  }</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  }</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span> }</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  </div>
<div class="line"><a name="l00293"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ae756568a7f2c58778bb6d759d2bd38db"> 293</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#ae756568a7f2c58778bb6d759d2bd38db">RemoveReshapeLayer</a>(<a class="code" href="classarmnn_1_1_reshape_layer.html">ReshapeLayer</a>* baseLayer,</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  std::map<LayerGuid, Layer*>& untouched,</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <a class="code" href="classarmnn_1_1_optimization_views.html">OptimizationViews</a>& optimizationViews)</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span> {</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keywordflow">if</span> (baseLayer == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  {</div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  }</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <a class="code" href="structarmnn_1_1_reshape_descriptor.html">ReshapeDescriptor</a> reshapeDescriptor = baseLayer-><a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>();</div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& parentLayer = baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  </div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="comment">// Cannot currently remove the Reshape if it's connected to an Input, Constant or Splitter</span></div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keywordflow">if</span> (parentLayer.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a> || parentLayer.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a>)</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  {</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  }</div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  </div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="comment">// Cannot currently remove the Reshape if it's connected to an OutputSlot or Concat</span></div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).GetNumConnections(); ++i)</div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  {</div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& nextLayer = baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#a048e8c1536cf6b8871b093a73a4a3a85">GetConnection</a>(i)-><a class="code" href="classarmnn_1_1_input_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  </div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keywordflow">if</span> (nextLayer.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>)</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  {</div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  }</div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  }</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keyword">auto</span> it = untouched.find(baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>());</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keywordflow">if</span> (it == untouched.end())</div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  {</div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="comment">// Already removed from map</span></div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  }</div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  untouched.erase(it);</div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  </div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="comment">// Override the InputSlot TensorInfos for all the layers connected to the Reshape's OutputSlot</span></div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).GetNumConnections(); ++i)</div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  {</div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& nextLayer = baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#a048e8c1536cf6b8871b093a73a4a3a85">GetConnection</a>(i)-><a class="code" href="classarmnn_1_1_input_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keyword">auto</span> inputIndex = baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#a048e8c1536cf6b8871b093a73a4a3a85">GetConnection</a>(i)-><a class="code" href="classarmnn_1_1_input_slot.html#ae3f69b193433448bee0f3925da4b01a3">GetSlotIndex</a>();</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> reshapeInfo(baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>());</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  reshapeInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>(reshapeDescriptor.<a class="code" href="structarmnn_1_1_reshape_descriptor.html#a1178f4dafdda81f59c15145ec327f7d9">m_TargetShape</a>);</div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  nextLayer.<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(inputIndex).<a class="code" href="classarmnn_1_1_input_slot.html#a7f4ecb20ab4968de368166d8cbb2b1a3">SetTensorInfo</a>(reshapeInfo);</div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  }</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  optimizationViews.<a class="code" href="classarmnn_1_1_optimization_views.html#a4438f2ce297390e50f48dc426ba1f4f9">AddDeletedSubgraph</a>(baseLayer);</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span> }</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  </div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span> <span class="keyword">template</span><<span class="keyword">typename</span> LayerType></div>
<div class="line"><a name="l00341"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a0a49066b56fc3bfe44478601c31e2fc0"> 341</a></span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>* <a class="code" href="namespacearmnn.html#a0a49066b56fc3bfe44478601c31e2fc0">FoldPadIntoAveragePool2d</a>(<a class="code" href="classarmnn_1_1_optimization_views.html">OptimizationViews</a>& optimizationViews,</div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <a class="code" href="classarmnn_1_1_pooling2d_layer.html">Pooling2dLayer</a>* baseLayer,</div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <a class="code" href="structarmnn_1_1_pooling2d_descriptor.html">Pooling2dDescriptor</a>& poolDescriptor,</div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <a class="code" href="classarmnn_1_1_pad_layer.html">PadLayer</a>* padLayer)</div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span> {</div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* replacement =</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  optimizationViews.<a class="code" href="classarmnn_1_1_optimization_views.html#ad04187fe81f68558b15b6049b2da9cf9">GetINetwork</a>()-><a class="code" href="classarmnn_1_1_i_network.html#ae913b4351b7027f37eb5657dd7867733">AddPooling2dLayer</a>(poolDescriptor, <span class="stringliteral">"folded-pad-into-pool2d"</span>);</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>* replacementLayer = PolymorphicDowncast<LayerType*>(replacement);</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  </div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <a class="code" href="namespacearmnn.html#ae4b69405416c09ee6878e01d27c9450b">FoldPadLayer</a>(optimizationViews,</div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  baseLayer,</div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  replacementLayer,</div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  padLayer);</div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  </div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keywordflow">return</span> replacementLayer;</div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span> }</div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  </div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span> <span class="comment">//</span></div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span> <span class="comment">// Layer sequence detection such as add + mul + add ( + optional activation )</span></div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span> <span class="comment">//</span></div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  </div>
<div class="line"><a name="l00362"></a><span class="lineno"><a class="line" href="namespacearmnn.html#aefc7bff008047b9f763c2cf82c1a0fcb"> 362</a></span> <span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#aefc7bff008047b9f763c2cf82c1a0fcb">IsSequenceLayerType</a>(<a class="code" href="classarmnn_1_1_layer.html">Layer</a>& layer, <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type)</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span> {</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keywordflow">return</span> layer.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == type;</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span> }</div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  </div>
<div class="line"><a name="l00367"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a336dd839b81ad6a1d803c306b40f9af2"> 367</a></span> <span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#aefc7bff008047b9f763c2cf82c1a0fcb">IsSequenceLayerType</a>(<a class="code" href="classarmnn_1_1_layer.html">Layer</a>& layer, <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047">BinaryOperation</a> type)</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span> {</div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keywordflow">return</span> (layer.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">LayerType::ElementwiseBinary</a>) &&</div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  (PolymorphicDowncast<ElementwiseBinaryLayer*>(&layer)->GetParameters().m_Operation == type);</div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span> }</div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  </div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span> <span class="comment">// Detect a layer sequence and activation if specified. The activation must be at the end of the sequence.</span></div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span> <span class="keyword">template</span><<span class="keyword">typename</span> TYPE></div>
<div class="line"><a name="l00375"></a><span class="lineno"><a class="line" href="namespacearmnn.html#aa4452464859a025825afea5672640186"> 375</a></span> <span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#aa4452464859a025825afea5672640186">IsLayerSequence</a>(<a class="code" href="classarmnn_1_1_layer.html">Layer</a>& currentLayer,</div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  TYPE first,</div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  TYPE second,</div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  TYPE third,</div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>* layerList[4],</div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keywordtype">bool</span> handleValidActivates,</div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="keyword">const</span> std::vector<ActivationFunction>& validActivates)</div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span> {</div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keyword">auto</span> PreviousLayer = [](<a class="code" href="classarmnn_1_1_layer.html">Layer</a>& layer)</div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  {</div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="keywordflow">return</span> &layer.<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0).GetConnectedOutputSlot()->GetOwningLayer();</div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  };</div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  </div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keyword">auto</span> NextLayer = [](<a class="code" href="classarmnn_1_1_layer.html">Layer</a>& layer)</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  {</div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <span class="keywordflow">return</span> &layer.<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.html#a9fffb92dc6d2edd5258d574a5862fc83">GetConnection</a>(0)->GetOwningLayer();</div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  };</div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  </div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keyword">auto</span> LayerIncomingConnectionDataType = [](<a class="code" href="classarmnn_1_1_layer.html">Layer</a>& layer)</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  {</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keywordflow">return</span> layer.<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_input_slot.html#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>();</div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  };</div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  </div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keywordtype">bool</span> result = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  </div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="comment">// Match in reverse so there is only 1 connection to check</span></div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#aefc7bff008047b9f763c2cf82c1a0fcb">IsSequenceLayerType</a>(currentLayer, third))</div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  {</div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="comment">// Save DataType of third layer</span></div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType = LayerIncomingConnectionDataType(currentLayer);</div>
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  </div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="comment">// Save third layer</span></div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  layerList[2] = &currentLayer;</div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  </div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="comment">// Check the layers that proceed this one for the requested grouping</span></div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a> *prevLayer = PreviousLayer(currentLayer);</div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keywordflow">if</span> (prevLayer && <a class="code" href="namespacearmnn.html#aefc7bff008047b9f763c2cf82c1a0fcb">IsSequenceLayerType</a>(*prevLayer, second))</div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  {</div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="keywordtype">bool</span> dataTypesMatch = (dataType == LayerIncomingConnectionDataType(*prevLayer));</div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="keywordflow">if</span> (! dataTypesMatch)</div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  {</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keywordflow">return</span> result;</div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  }</div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  </div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  layerList[1] = prevLayer;</div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  prevLayer = PreviousLayer(*prevLayer);</div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="keywordflow">if</span> (prevLayer && <a class="code" href="namespacearmnn.html#aefc7bff008047b9f763c2cf82c1a0fcb">IsSequenceLayerType</a>(*prevLayer, first))</div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  {</div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  dataTypesMatch = (dataType == LayerIncomingConnectionDataType(*prevLayer));</div>
<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keywordflow">if</span> (! dataTypesMatch)</div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  {</div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="keywordflow">return</span> result;</div>
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  }</div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  </div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  layerList[0] = prevLayer;</div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  </div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <span class="comment">// Detected the first 3 layers if we get to this point so now</span></div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="comment">// check to see if we have a valid activation. If there is no activation</span></div>
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="comment">// then the sequence still matches.</span></div>
<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keywordflow">if</span> (handleValidActivates)</div>
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  {</div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a> *nextLayer = NextLayer(currentLayer);</div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <span class="keywordflow">if</span> (nextLayer)</div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  {</div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#aefc7bff008047b9f763c2cf82c1a0fcb">IsSequenceLayerType</a>(*nextLayer, <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a>))</div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  {</div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="comment">// This layer is an activation, so it must be a valid type for the sequence</span></div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9ea">ActivationFunction</a> activationFunction =</div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  PolymorphicDowncast<ActivationLayer*>(nextLayer)->GetParameters().m_Function;</div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="keywordtype">long</span> count = std::count(validActivates.cbegin(),</div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  validActivates.cend(),</div>
<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  activationFunction);</div>
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keywordflow">if</span> (count > 0)</div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  {</div>
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  layerList[3] = nextLayer;</div>
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  result = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  }</div>
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  }</div>
<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  {</div>
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="comment">// Next layer is not an activation so sequence still matches</span></div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  result = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  }</div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  }</div>
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  }</div>
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  {</div>
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  result = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  }</div>
<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  }</div>
<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  }</div>
<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  }</div>
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  </div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keywordflow">return</span> result;</div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span> }</div>
<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  </div>
<div class="line"><a name="l00471"></a><span class="lineno"> 471</span> } <span class="comment">// namespace armnn</span></div>
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<div class="ttc" id="astructarmnn_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#l00828">Descriptors.hpp:828</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a5e7ff12da912dc79e7e547281823fa4a">armnn::LayerType::SpaceToDepth</a></div><div class="ttdeci">@ SpaceToDepth</div></div>
<div class="ttc" id="aclassarmnn_1_1_optimization_views_html_a28e41bdd6b719a3d60a1a0de2e1ebc95"><div class="ttname"><a href="classarmnn_1_1_optimization_views.html#a28e41bdd6b719a3d60a1a0de2e1ebc95">armnn::OptimizationViews::AddUntouchedSubgraph</a></div><div class="ttdeci">void AddUntouchedSubgraph(SubgraphView &&subgraph)</div><div class="ttdef"><b>Definition:</b> <a href="_optimization_views_8hpp_source.html#l00048">OptimizationViews.hpp:48</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_input_slot_html_a7f4ecb20ab4968de368166d8cbb2b1a3"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#a7f4ecb20ab4968de368166d8cbb2b1a3">armnn::InputSlot::SetTensorInfo</a></div><div class="ttdeci">void SetTensorInfo(const TensorInfo tensorInfo) override</div><div class="ttdoc">Sets the TensorInfo for this InputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00587">Layer.cpp:587</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_html_a3f717693851810942d3ae0180a97fb4c"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.html#a3f717693851810942d3ae0180a97fb4c">armnn::SubgraphView::IOutputSlots</a></div><div class="ttdeci">std::vector< IOutputSlot * > IOutputSlots</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8hpp_source.html#l00060">SubgraphView.hpp:60</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::LayerType::BatchNormalization</a></div><div class="ttdeci">@ BatchNormalization</div></div>
<div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0a884e0167ebf9bbe6cfd6ca5ab97ab015"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a884e0167ebf9bbe6cfd6ca5ab97ab015">armnn::DataLayout::NCDHW</a></div><div class="ttdeci">@ NCDHW</div></div>
<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_a9c2cba04b6d7ace4fc2a2436b82a5a63"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#a9c2cba04b6d7ace4fc2a2436b82a5a63">armnn::IConnectableLayer::GetNumInputSlots</a></div><div class="ttdeci">virtual unsigned int GetNumInputSlots() const =0</div><div class="ttdoc">Returns the number of connectable input slots.</div></div>
<div class="ttc" id="aclassarmnn_1_1_input_slot_html_a7ddaf04177053a536f0e7be83a642bc6"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#a7ddaf04177053a536f0e7be83a642bc6">armnn::InputSlot::GetOwningLayer</a></div><div class="ttdeci">Layer & GetOwningLayer() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00053">Layer.hpp:53</a></div></div>
<div class="ttc" id="a_descriptors_8hpp_html"><div class="ttname"><a href="_descriptors_8hpp.html">Descriptors.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00092">Layer.cpp:92</a></div></div>
<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.html">armnn::Pooling3dDescriptor</a></div><div class="ttdoc">A Pooling3dDescriptor for the Pooling3dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00431">Descriptors.hpp:431</a></div></div>
<div class="ttc" id="astructarmnn_1_1_instance_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.html">armnn::InstanceNormalizationDescriptor</a></div><div class="ttdoc">An InstanceNormalizationDescriptor for InstanceNormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00847">Descriptors.hpp:847</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a4f89a6ce848b8d9787761cdd1dbb751a"><div class="ttname"><a href="namespacearmnn.html#a4f89a6ce848b8d9787761cdd1dbb751a">armnn::ConnectedToLayerType</a></div><div class="ttdeci">bool ConnectedToLayerType(Layer *baseLayer, LayerType layerType, unsigned int dimSize=0)</div><div class="ttdoc">Checks the Layer's Connections to see if it's connected to a Layer with the provided layerType.</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_utils_8hpp_source.html#l00271">SubgraphUtils.hpp:271</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a21baa4498161d195f5bb2e3627344ba4">armnn::LayerType::InstanceNormalization</a></div><div class="ttdeci">@ InstanceNormalization</div></div>
<div class="ttc" id="anamespacearmnn_html_aa4452464859a025825afea5672640186"><div class="ttname"><a href="namespacearmnn.html#aa4452464859a025825afea5672640186">armnn::IsLayerSequence</a></div><div class="ttdeci">bool IsLayerSequence(Layer &currentLayer, TYPE first, TYPE second, TYPE third, Layer *layerList[4], bool handleValidActivates, const std::vector< ActivationFunction > &validActivates)</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_utils_8hpp_source.html#l00375">SubgraphUtils.hpp:375</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="astructarmnn_1_1_l2_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.html">armnn::L2NormalizationDescriptor</a></div><div class="ttdoc">A L2NormalizationDescriptor for the L2NormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00809">Descriptors.hpp:809</a></div></div>
<div class="ttc" id="anamespacearmnn_html_aefc7bff008047b9f763c2cf82c1a0fcb"><div class="ttname"><a href="namespacearmnn.html#aefc7bff008047b9f763c2cf82c1a0fcb">armnn::IsSequenceLayerType</a></div><div class="ttdeci">bool IsSequenceLayerType(Layer &layer, LayerType type)</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_utils_8hpp_source.html#l00362">SubgraphUtils.hpp:362</a></div></div>
<div class="ttc" id="astructarmnn_1_1_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.html">armnn::NormalizationDescriptor</a></div><div class="ttdoc">A NormalizationDescriptor for the NormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00769">Descriptors.hpp:769</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00195">Tensor.hpp:195</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa31904f2b3479b5a00137fd985974b4d">armnn::LayerType::StridedSlice</a></div><div class="ttdeci">@ StridedSlice</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00339">Layer.hpp:339</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aac61f2e17250a818dee4d12b112aa88f">armnn::LayerType::Normalization</a></div><div class="ttdeci">@ Normalization</div></div>
<div class="ttc" id="anamespacearmnn_html_ae4b69405416c09ee6878e01d27c9450b"><div class="ttname"><a href="namespacearmnn.html#ae4b69405416c09ee6878e01d27c9450b">armnn::FoldPadLayer</a></div><div class="ttdeci">LayerType * FoldPadLayer(OptimizationViews &optimizationViews, LayerType *baseLayer, LayerType *replacementLayer, PadLayer *padLayer)</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_utils_8hpp_source.html#l00234">SubgraphUtils.hpp:234</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ab6b4f5f3473b0ce4b241d454f8cbdd26"><div class="ttname"><a href="namespacearmnn.html#ab6b4f5f3473b0ce4b241d454f8cbdd26">armnn::IsNCHW</a></div><div class="ttdeci">bool IsNCHW(armnn::Layer &layer)</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_utils_8hpp_source.html#l00213">SubgraphUtils.hpp:213</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_ac2dac3b61c94de52093616be4ab17f8d"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#ac2dac3b61c94de52093616be4ab17f8d">armnn::IConnectableLayer::GetNumOutputSlots</a></div><div class="ttdeci">virtual unsigned int GetNumOutputSlots() const =0</div><div class="ttdoc">Returns the number of connectable output slots.</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00337">Layer.hpp:337</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_afa3e8a8f23589b1eaddbe203825bbdcf"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">armnn::LayerWithParameters::GetParameters</a></div><div class="ttdeci">const Parameters & GetParameters() const override</div><div class="ttdoc">If the layer has a descriptor return it.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00019">LayerWithParameters.hpp:19</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">armnn::LayerType::ElementwiseBinary</a></div><div class="ttdeci">@ ElementwiseBinary</div></div>
<div class="ttc" id="aclassarmnn_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#l00230">Layer.hpp:230</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_input_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::InputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdoc">Gets the TensorInfo for this InputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00592">Layer.cpp:592</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_input_slot_html_ae3f69b193433448bee0f3925da4b01a3"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#ae3f69b193433448bee0f3925da4b01a3">armnn::InputSlot::GetSlotIndex</a></div><div class="ttdeci">unsigned int GetSlotIndex() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00054">Layer.hpp:54</a></div></div>
<div class="ttc" id="a_fold_pad_into_layer2d_8hpp_html"><div class="ttname"><a href="_fold_pad_into_layer2d_8hpp.html">FoldPadIntoLayer2d.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_a7ddaf04177053a536f0e7be83a642bc6"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">armnn::OutputSlot::GetOwningLayer</a></div><div class="ttdeci">Layer & GetOwningLayer() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00132">Layer.hpp:132</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_reshape_layer_html"><div class="ttname"><a href="classarmnn_1_1_reshape_layer.html">armnn::ReshapeLayer</a></div><div class="ttdoc">This layer represents a reshape operation.</div><div class="ttdef"><b>Definition:</b> <a href="_reshape_layer_8hpp_source.html#l00015">ReshapeLayer.hpp:15</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_output_slot_html_a9fffb92dc6d2edd5258d574a5862fc83"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#a9fffb92dc6d2edd5258d574a5862fc83">armnn::IOutputSlot::GetConnection</a></div><div class="ttdeci">virtual const IInputSlot * GetConnection(unsigned int index) const =0</div></div>
<div class="ttc" id="anamespacearmnn_html_ae756568a7f2c58778bb6d759d2bd38db"><div class="ttname"><a href="namespacearmnn.html#ae756568a7f2c58778bb6d759d2bd38db">armnn::RemoveReshapeLayer</a></div><div class="ttdeci">void RemoveReshapeLayer(ReshapeLayer *baseLayer, std::map< LayerGuid, Layer * > &untouched, OptimizationViews &optimizationViews)</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_utils_8hpp_source.html#l00293">SubgraphUtils.hpp:293</a></div></div>
<div class="ttc" id="a_exceptions_8hpp_html_a31e4268013316d114e8927e4c0035ec5"><div class="ttname"><a href="_exceptions_8hpp.html#a31e4268013316d114e8927e4c0035ec5">ARMNN_THROW_INVALIDARG_IF_FALSE</a></div><div class="ttdeci">#define ARMNN_THROW_INVALIDARG_IF_FALSE(_cond)</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00212">Exceptions.hpp:212</a></div></div>
<div class="ttc" id="anamespacearmnn_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#l00048">Types.hpp:48</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a0a49066b56fc3bfe44478601c31e2fc0"><div class="ttname"><a href="namespacearmnn.html#a0a49066b56fc3bfe44478601c31e2fc0">armnn::FoldPadIntoAveragePool2d</a></div><div class="ttdeci">LayerType * FoldPadIntoAveragePool2d(OptimizationViews &optimizationViews, Pooling2dLayer *baseLayer, Pooling2dDescriptor &poolDescriptor, PadLayer *padLayer)</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_utils_8hpp_source.html#l00341">SubgraphUtils.hpp:341</a></div></div>
<div class="ttc" id="astructarmnn_1_1_reshape_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.html">armnn::ReshapeDescriptor</a></div><div class="ttdoc">A ReshapeDescriptor for the ReshapeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01023">Descriptors.hpp:1023</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_html_a4ad949634fd697549da161eb09d8b7fd"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.html#a4ad949634fd697549da161eb09d8b7fd">armnn::SubgraphView::IInputSlots</a></div><div class="ttdeci">std::vector< IInputSlot * > IInputSlots</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8hpp_source.html#l00058">SubgraphView.hpp:58</a></div></div>
<div class="ttc" id="anamespacearmnn_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#l00309">Types.hpp:309</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a8dc12f0ee5b232d397bd18ced1a72a64"><div class="ttname"><a href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">armnn::Layer::GetGuid</a></div><div class="ttdeci">LayerGuid GetGuid() const final</div><div class="ttdoc">Returns the unique id of the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00343">Layer.hpp:343</a></div></div>
<div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html">armnn::BatchMatMulDescriptor</a></div><div class="ttdoc">A BatchMatMulDescriptor for the BatchMatMul operator.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01584">Descriptors.hpp:1584</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_adceb04ae84c524e4d01881e3754a4d59"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#adceb04ae84c524e4d01881e3754a4d59">armnn::IConnectableLayer::GetType</a></div><div class="ttdeci">virtual LayerType GetType() const =0</div><div class="ttdoc">Returns the armnn::LayerType of this layer.</div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_html"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.html">armnn::SubgraphView</a></div><div class="ttdoc">The SubgraphView class represents a subgraph of a Graph.</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8hpp_source.html#l00031">SubgraphView.hpp:31</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimization_views_html"><div class="ttname"><a href="classarmnn_1_1_optimization_views.html">armnn::OptimizationViews</a></div><div class="ttdef"><b>Definition:</b> <a href="_optimization_views_8hpp_source.html#l00017">OptimizationViews.hpp:17</a></div></div>
<div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.html">armnn::SpaceToBatchNdDescriptor</a></div><div class="ttdoc">A SpaceToBatchNdDescriptor for the SpaceToBatchNdLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01043">Descriptors.hpp:1043</a></div></div>
<div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html">armnn::Convolution3dDescriptor</a></div><div class="ttdoc">A Convolution3dDescriptor for the Convolution3dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00588">Descriptors.hpp:588</a></div></div>
<div class="ttc" id="astructarmnn_1_1_reshape_descriptor_html_a1178f4dafdda81f59c15145ec327f7d9"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.html#a1178f4dafdda81f59c15145ec327f7d9">armnn::ReshapeDescriptor::m_TargetShape</a></div><div class="ttdeci">TensorShape m_TargetShape</div><div class="ttdoc">Target shape value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01039">Descriptors.hpp:1039</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_pooling2d_layer_html"><div class="ttname"><a href="classarmnn_1_1_pooling2d_layer.html">armnn::Pooling2dLayer</a></div><div class="ttdoc">This layer represents a pooling 2d operation.</div><div class="ttdef"><b>Definition:</b> <a href="_pooling2d_layer_8hpp_source.html#l00013">Pooling2dLayer.hpp:13</a></div></div>
<div class="ttc" id="astructarmnn_1_1_base_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_base_descriptor.html">armnn::BaseDescriptor</a></div><div class="ttdoc">Base class for all descriptors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00022">Descriptors.hpp:22</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimization_views_html_a57340147dcb1c0ae05fdf14ff7af8a01"><div class="ttname"><a href="classarmnn_1_1_optimization_views.html#a57340147dcb1c0ae05fdf14ff7af8a01">armnn::OptimizationViews::AddSubstitution</a></div><div class="ttdeci">void AddSubstitution(SubstitutionPair &&substitution)</div><div class="ttdef"><b>Definition:</b> <a href="_optimization_views_8hpp_source.html#l00038">OptimizationViews.hpp:38</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9ea"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a></div><div class="ttdeci">ActivationFunction</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00086">Types.hpp:86</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::LayerType::Pooling2d</a></div><div class="ttdeci">@ Pooling2d</div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00198">Tensor.hpp:198</a></div></div>
<div class="ttc" id="astructarmnn_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#l00875">Descriptors.hpp:875</a></div></div>
<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00534">Descriptors.hpp:534</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a2b3140dc366b9fcd25ed786a79d1817c">armnn::LayerType::Pooling3d</a></div><div class="ttdeci">@ Pooling3d</div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9882ff3cfed27d6161c20a305e7a3484">armnn::LayerType::BatchMatMul</a></div><div class="ttdeci">@ BatchMatMul</div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a></div><div class="ttdeci">@ DepthwiseConvolution2d</div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::LayerType::BatchToSpaceNd</a></div><div class="ttdeci">@ BatchToSpaceNd</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_ad8e15c530c929ab823d89ae9fd2d3f11"><div class="ttname"><a href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const override</div><div class="ttdoc">Returns the armnn::LayerType of this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00286">Layer.hpp:286</a></div></div>
<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html">armnn::StridedSliceDescriptor</a></div><div class="ttdoc">A StridedSliceDescriptor for the StridedSliceLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01303">Descriptors.hpp:1303</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047">armnn::BinaryOperation</a></div><div class="ttdeci">BinaryOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00138">Types.hpp:138</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_input_slot_html_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_input_slot.html#a9943775a364fc4ab53b85ac88f311886">armnn::IInputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo & GetTensorInfo() const =0</div><div class="ttdoc">Gets the TensorInfo for this InputSlot.</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a46fc3fdd4b2a5dd6d184e57983cf20bc"><div class="ttname"><a href="classarmnn_1_1_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">armnn::Layer::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) const override</div><div class="ttdoc">Apply a visitor to this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00549">Layer.cpp:549</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_ae913b4351b7027f37eb5657dd7867733"><div class="ttname"><a href="classarmnn_1_1_i_network.html#ae913b4351b7027f37eb5657dd7867733">armnn::INetwork::AddPooling2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddPooling2dLayer(const Pooling2dDescriptor &pooling2dDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a 2D pooling layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00356">Network.cpp:356</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a337c392144dca0d18290c6b4711a2279">armnn::LayerType::SpaceToBatchNd</a></div><div class="ttdeci">@ SpaceToBatchNd</div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1189467870bc421ae59277e750263eb2">armnn::LayerType::L2Normalization</a></div><div class="ttdeci">@ L2Normalization</div></div>
<div class="ttc" id="aclassarmnn_1_1_optimization_views_html_a4438f2ce297390e50f48dc426ba1f4f9"><div class="ttname"><a href="classarmnn_1_1_optimization_views.html#a4438f2ce297390e50f48dc426ba1f4f9">armnn::OptimizationViews::AddDeletedSubgraph</a></div><div class="ttdeci">void AddDeletedSubgraph(SubgraphView &&subgraph)</div><div class="ttdef"><b>Definition:</b> <a href="_optimization_views_8hpp_source.html#l00053">OptimizationViews.hpp:53</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.html#l00014">IgnoreUnused.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_input_slot_html_a9effd325a6d512a3f8ff4bd207d53255"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">armnn::InputSlot::GetConnectedOutputSlot</a></div><div class="ttdeci">const OutputSlot * GetConnectedOutputSlot() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00056">Layer.hpp:56</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_abe8889e8150beef5fd204b2d87b49298"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">armnn::TensorInfo::SetShape</a></div><div class="ttdeci">void SetShape(const TensorShape &newShape)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00193">Tensor.hpp:193</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_a80ac4eda2e7f2757ec9dd96fc96dbd16"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">armnn::IConnectableLayer::GetOutputSlot</a></div><div class="ttdeci">virtual const IOutputSlot & GetOutputSlot(unsigned int index) const =0</div><div class="ttdoc">Get the const output slot handle by slot index.</div></div>
<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_a6ec9e0eb66d7d6a01240492a0b18104c"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">armnn::IConnectableLayer::GetInputSlot</a></div><div class="ttdeci">virtual const IInputSlot & GetInputSlot(unsigned int index) const =0</div><div class="ttdoc">Get a const input slot handle by slot index.</div></div>
<div class="ttc" id="aclassarmnn_1_1_optimization_views_html_ad04187fe81f68558b15b6049b2da9cf9"><div class="ttname"><a href="classarmnn_1_1_optimization_views.html#ad04187fe81f68558b15b6049b2da9cf9">armnn::OptimizationViews::GetINetwork</a></div><div class="ttdeci">INetwork * GetINetwork()</div><div class="ttdef"><b>Definition:</b> <a href="_optimization_views_8hpp_source.html#l00069">OptimizationViews.hpp:69</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00080">INetwork.hpp:80</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div><div class="ttdeci">@ Input</div></div>
<div class="ttc" id="anamespacearmnn_html_a5afd10e5e84ebf5cb8cfc8707492eda7"><div class="ttname"><a href="namespacearmnn.html#a5afd10e5e84ebf5cb8cfc8707492eda7">armnn::ReportUntouchedLayers</a></div><div class="ttdeci">void ReportUntouchedLayers(OptimizationViews &optimizationViews, std::map< LayerGuid, Layer * > untouched)</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_utils_8hpp_source.html#l00220">SubgraphUtils.hpp:220</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ac5089a2ee61f22570982e7a56588365a"><div class="ttname"><a href="namespacearmnn.html#ac5089a2ee61f22570982e7a56588365a">armnn::ConnectedToLayerWithNCHW</a></div><div class="ttdeci">bool ConnectedToLayerWithNCHW(Layer *baseLayer)</div><div class="ttdoc">Checks if the Layer is connected to any Layer that has an NCHW layout.</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_utils_8hpp_source.html#l00250">SubgraphUtils.hpp:250</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a></div><div class="ttdeci">@ Convolution2d</div></div>
<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00371">Descriptors.hpp:371</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a></div><div class="ttdeci">@ Activation</div></div>
<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">armnn::DepthwiseConvolution2dDescriptor</a></div><div class="ttdoc">A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00659">Descriptors.hpp:659</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a583550d0f265fd3756f7de0e42c51953">armnn::LayerType::Convolution3d</a></div><div class="ttdeci">@ Convolution3d</div></div>
<div class="ttc" id="a_strategy_base_8hpp_html"><div class="ttname"><a href="_strategy_base_8hpp.html">StrategyBase.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00491">Types.hpp:491</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_a048e8c1536cf6b8871b093a73a4a3a85"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#a048e8c1536cf6b8871b093a73a4a3a85">armnn::OutputSlot::GetConnection</a></div><div class="ttdeci">const InputSlot * GetConnection(unsigned int index) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00075">Layer.cpp:75</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_pad_layer_html"><div class="ttname"><a href="classarmnn_1_1_pad_layer.html">armnn::PadLayer</a></div><div class="ttdoc">This layer represents a pad operation.</div><div class="ttdef"><b>Definition:</b> <a href="_pad_layer_8hpp_source.html#l00014">PadLayer.hpp:14</a></div></div>
<div class="ttc" id="astructarmnn_1_1_space_to_depth_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html">armnn::SpaceToDepthDescriptor</a></div><div class="ttdoc">A SpaceToDepthDescriptor for the SpaceToDepthLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01075">Descriptors.hpp:1075</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div><div class="ttdeci">@ Output</div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div><div class="ttdeci">@ Constant</div></div>
<div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div><div class="ttdeci">@ NCHW</div></div>
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