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<div class="title">CLFunctionsFactory.cpp</div> </div>
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<a href="_c_l_functions_factory_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2018-2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_function_factory_8h.xhtml">arm_compute/graph/backends/CL/CLFunctionFactory.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cast_8h.xhtml">arm_compute/core/utils/misc/Cast.h</a>&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="graph_2_graph_8h.xhtml">arm_compute/graph/Graph.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_function_helpers_8h.xhtml">arm_compute/graph/backends/FunctionHelpers.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_functions_8h.xhtml">arm_compute/runtime/CL/CLFunctions.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_p_p_functions_8h.xhtml">arm_compute/runtime/CPP/CPPFunctions.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml">arm_compute::utils::cast</a>;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;{</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="keyword">namespace </span>graph</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;{</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="keyword">namespace </span>backends</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;{</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="keyword">struct </span>CLTargetInfo</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;{</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <span class="keyword">using</span> TensorType = <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">arm_compute::ICLTensor</a>;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <span class="keyword">using</span> TensorConcreteType = CLTensor;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keyword">static</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35d">Target</a> TargetType;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;};</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;<a class="code" href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35d">Target</a> CLTargetInfo::TargetType = Target::CL;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;<span class="keyword">struct </span>CLConvolutionLayerFunctions</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;{</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="keyword">using</span> GenericConvolutionLayer = CLConvolutionLayer;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keyword">using</span> GEMMConvolutionLayer = CLGEMMConvolutionLayer;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="keyword">using</span> DirectConvolutionLayer = CLDirectConvolutionLayer;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keyword">using</span> WinogradConvolutionLayer = CLWinogradConvolutionLayer;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;};</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;<span class="keyword">struct </span>CLDepthwiseConvolutionLayerFunctions</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;{</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keyword">using</span> GenericDepthwiseConvolutionLayer = CLDepthwiseConvolutionLayer;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="keyword">using</span> OptimizedDepthwiseConvolutionLayer = CLDepthwiseConvolutionLayer3x3;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;};</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;<span class="keyword">struct </span>CLEltwiseFunctions</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;{</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keyword">using</span> Addition = CLArithmeticAddition;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="keyword">using</span> Subtraction = CLArithmeticSubtraction;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="keyword">using</span> Multiplication = CLPixelWiseMultiplication;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;};</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;<span class="keyword">struct </span>CLFusedLayerTypes</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;{</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16aa252659b59a03bc61e5ec827ab4448b7">ConvolutionLayer</a> = CLConvolutionLayer;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a5b7955cb74be105cc7e044a370d4fce8">DepthwiseConvolutionLayer</a> = CLDepthwiseConvolutionLayer;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keyword">using</span> FuseBatchNormalization = CLFuseBatchNormalization;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;};</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;<span class="comment">// TODO (isagot01): Remove once we support heterogeneous scheduling at function level</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;<span class="comment"></span><span class="keyword">class </span>CPPWrapperFunction : <span class="keyword">public</span> IFunction</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;{</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="comment">/* Default constructor */</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; CPPWrapperFunction()</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; : _tensors(), _func(nullptr)</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; {</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; }</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aae8f98973dd49e5afd7309bb34d4e3c3">run</a>()<span class="keyword"> override</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keywordflow">for</span>(<span class="keyword">auto</span> &amp;tensor : _tensors)</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; {</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; tensor-&gt;map(<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().queue());</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; }</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; _func-&gt;run();</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keywordflow">for</span>(<span class="keyword">auto</span> &amp;tensor : _tensors)</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; {</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; tensor-&gt;unmap(<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().queue());</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; }</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; }</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <span class="keywordtype">void</span> register_tensor(ICLTensor *tensor)</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; {</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; _tensors.push_back(tensor);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; }</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="keywordtype">void</span> register_function(std::unique_ptr&lt;IFunction&gt; <span class="keyword">function</span>)</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; {</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; _func = std::move(<span class="keyword">function</span>);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; }</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; std::vector&lt;arm_compute::ICLTensor *&gt; _tensors;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; std::unique_ptr&lt;IFunction&gt; _func;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160;};</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160;<span class="keyword">namespace </span>detail</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160;{</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;<span class="comment">// Specialized functions</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00126"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#accb27de9ecfd8f932aee9d5702f0fde9"> 126</a></span>&#160;std::unique_ptr&lt;IFunction&gt; <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#accb27de9ecfd8f932aee9d5702f0fde9">create_detection_output_layer&lt;CPPDetectionOutputLayer, CLTargetInfo&gt;</a>(<a class="code" href="classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml">DetectionOutputLayerNode</a> &amp;node)</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160;{</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; validate_node&lt;CLTargetInfo&gt;(node, 3 <span class="comment">/* expected inputs */</span>, 1 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160;</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">CLTargetInfo::TensorType</a> *input0 = get_backing_tensor&lt;CLTargetInfo&gt;(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">CLTargetInfo::TensorType</a> *input1 = get_backing_tensor&lt;CLTargetInfo&gt;(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(1));</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">CLTargetInfo::TensorType</a> *input2 = get_backing_tensor&lt;CLTargetInfo&gt;(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(2));</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">CLTargetInfo::TensorType</a> *output = get_backing_tensor&lt;CLTargetInfo&gt;(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_detection_output_layer_info.xhtml">DetectionOutputLayerInfo</a> detect_info = node.<a class="code" href="classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#a4491336dccd18464fbbf617c981736cf">detection_output_info</a>();</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input0 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input1 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input2 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="keyword">auto</span> func = support::cpp14::make_unique&lt;CPPDetectionOutputLayer&gt;();</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; func-&gt;configure(input0, input1, input2, output, detect_info);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="comment">// Log info</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">&quot;Instantiated &quot;</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; &lt;&lt; node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>()</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; &lt;&lt; <span class="stringliteral">&quot; Type: &quot;</span> &lt;&lt; node.<a class="code" href="classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5">type</a>()</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; &lt;&lt; <span class="stringliteral">&quot; Target: &quot;</span> &lt;&lt; CLTargetInfo::TargetType</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; &lt;&lt; <span class="stringliteral">&quot; Data Type: &quot;</span> &lt;&lt; input0-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>()</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; &lt;&lt; <span class="stringliteral">&quot; Input0 shape: &quot;</span> &lt;&lt; input0-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>()</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; &lt;&lt; <span class="stringliteral">&quot; Input1 shape: &quot;</span> &lt;&lt; input1-&gt;info()-&gt;tensor_shape()</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; &lt;&lt; <span class="stringliteral">&quot; Input2 shape: &quot;</span> &lt;&lt; input2-&gt;info()-&gt;tensor_shape()</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; &lt;&lt; <span class="stringliteral">&quot; Output shape: &quot;</span> &lt;&lt; output-&gt;info()-&gt;tensor_shape()</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; &lt;&lt; <span class="stringliteral">&quot; DetectionOutputLayer info: &quot;</span> &lt;&lt; detect_info</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; &lt;&lt; std::endl);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <span class="keyword">auto</span> wrap_function = support::cpp14::make_unique&lt;CPPWrapperFunction&gt;();</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; ;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; wrap_function-&gt;register_function(std::move(func));</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; wrap_function-&gt;register_tensor(input0);</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; wrap_function-&gt;register_tensor(input1);</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; wrap_function-&gt;register_tensor(input2);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; wrap_function-&gt;register_tensor(output);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; <span class="keywordflow">return</span> std::move(wrap_function);</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160;}</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00170"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#af715e29e4f43f012be92dff3ca61004c"> 170</a></span>&#160;std::unique_ptr&lt;IFunction&gt; <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#af715e29e4f43f012be92dff3ca61004c">create_detection_post_process_layer&lt;CPPDetectionPostProcessLayer, CLTargetInfo&gt;</a>(<a class="code" href="classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml">DetectionPostProcessLayerNode</a> &amp;node)</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160;{</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; validate_node&lt;CLTargetInfo&gt;(node, 3 <span class="comment">/* expected inputs */</span>, 4 <span class="comment">/* expected outputs */</span>);</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">CLTargetInfo::TensorType</a> *input0 = get_backing_tensor&lt;CLTargetInfo&gt;(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">CLTargetInfo::TensorType</a> *input1 = get_backing_tensor&lt;CLTargetInfo&gt;(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(1));</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">CLTargetInfo::TensorType</a> *input2 = get_backing_tensor&lt;CLTargetInfo&gt;(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(2));</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">CLTargetInfo::TensorType</a> *output0 = get_backing_tensor&lt;CLTargetInfo&gt;(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">CLTargetInfo::TensorType</a> *output1 = get_backing_tensor&lt;CLTargetInfo&gt;(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(1));</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">CLTargetInfo::TensorType</a> *output2 = get_backing_tensor&lt;CLTargetInfo&gt;(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(2));</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">CLTargetInfo::TensorType</a> *output3 = get_backing_tensor&lt;CLTargetInfo&gt;(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(3));</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_detection_post_process_layer_info.xhtml">DetectionPostProcessLayerInfo</a> detect_info = node.<a class="code" href="classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml#a23ab280af362e61b91763038fc3194f4">detection_post_process_info</a>();</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input0 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input1 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input2 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output0 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output1 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output2 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(output3 == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <span class="keyword">auto</span> func = support::cpp14::make_unique&lt;CPPDetectionPostProcessLayer&gt;();</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; func-&gt;configure(input0, input1, input2, output0, output1, output2, output3, detect_info);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <span class="comment">// Log info</span></div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; <a class="code" href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a>(<span class="stringliteral">&quot;Instantiated &quot;</span></div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; &lt;&lt; node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>()</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; &lt;&lt; <span class="stringliteral">&quot; Type: &quot;</span> &lt;&lt; node.<a class="code" href="classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5">type</a>()</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; &lt;&lt; <span class="stringliteral">&quot; Target: &quot;</span> &lt;&lt; CLTargetInfo::TargetType</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; &lt;&lt; <span class="stringliteral">&quot; Data Type: &quot;</span> &lt;&lt; input0-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>()</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; &lt;&lt; <span class="stringliteral">&quot; Input0 shape: &quot;</span> &lt;&lt; input0-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>()</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; &lt;&lt; <span class="stringliteral">&quot; Input1 shape: &quot;</span> &lt;&lt; input1-&gt;info()-&gt;tensor_shape()</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; &lt;&lt; <span class="stringliteral">&quot; Input2 shape: &quot;</span> &lt;&lt; input2-&gt;info()-&gt;tensor_shape()</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; &lt;&lt; <span class="stringliteral">&quot; Output0 shape: &quot;</span> &lt;&lt; output0-&gt;info()-&gt;tensor_shape()</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; &lt;&lt; <span class="stringliteral">&quot; Output1 shape: &quot;</span> &lt;&lt; output1-&gt;info()-&gt;tensor_shape()</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; &lt;&lt; <span class="stringliteral">&quot; Output2 shape: &quot;</span> &lt;&lt; output2-&gt;info()-&gt;tensor_shape()</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; &lt;&lt; <span class="stringliteral">&quot; Output3 shape: &quot;</span> &lt;&lt; output3-&gt;info()-&gt;tensor_shape()</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; &lt;&lt; <span class="stringliteral">&quot; DetectionPostProcessLayer info: &quot;</span> &lt;&lt; detect_info</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; &lt;&lt; std::endl);</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160;</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <span class="keyword">auto</span> wrap_function = support::cpp14::make_unique&lt;CPPWrapperFunction&gt;();</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; wrap_function-&gt;register_function(std::move(func));</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; wrap_function-&gt;register_tensor(input0);</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; wrap_function-&gt;register_tensor(input1);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; wrap_function-&gt;register_tensor(input2);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; wrap_function-&gt;register_tensor(output0);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; wrap_function-&gt;register_tensor(output1);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; wrap_function-&gt;register_tensor(output2);</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; wrap_function-&gt;register_tensor(output3);</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; <span class="keywordflow">return</span> std::move(wrap_function);</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160;}</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160;} <span class="comment">// namespace detail</span></div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160;</div><div class="line"><a name="l00227"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1backends_1_1_c_l_function_factory.xhtml#aa7ac6bf065e64181f3c92fee4b3b5c79"> 227</a></span>&#160;std::unique_ptr&lt;IFunction&gt; CLFunctionFactory::create(<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml">INode</a> *node, <a class="code" href="classarm__compute_1_1graph_1_1_graph_context.xhtml">GraphContext</a> &amp;ctx)</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160;{</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; <span class="keywordflow">if</span>(node == <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; {</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; }</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; <a class="code" href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16">NodeType</a> type = node-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a6b2d83e561886647467f86c20ce39bec">type</a>();</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; <span class="keywordflow">switch</span>(type)</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; {</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; <span class="keywordflow">case</span> NodeType::ActivationLayer:</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; <span class="keywordflow">return</span> detail::create_activation_layer&lt;CLActivationLayer, CLTargetInfo&gt;(*polymorphic_downcast&lt;ActivationLayerNode *&gt;(node));</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; <span class="keywordflow">case</span> NodeType::BatchNormalizationLayer:</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; <span class="keywordflow">return</span> detail::create_batch_normalization_layer&lt;CLBatchNormalizationLayer, CLTargetInfo&gt;(*polymorphic_downcast&lt;BatchNormalizationLayerNode *&gt;(node));</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; <span class="keywordflow">case</span> NodeType::BoundingBoxTransformLayer:</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; <span class="keywordflow">return</span> detail::create_bounding_box_transform_layer&lt;CLBoundingBoxTransform, CLTargetInfo&gt;(*polymorphic_downcast&lt;BoundingBoxTransformLayerNode *&gt;(node));</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; <span class="keywordflow">case</span> NodeType::ChannelShuffleLayer:</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; <span class="keywordflow">return</span> detail::create_channel_shuffle_layer&lt;CLChannelShuffleLayer, CLTargetInfo&gt;(*polymorphic_downcast&lt;ChannelShuffleLayerNode *&gt;(node));</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; <span class="keywordflow">case</span> NodeType::ConvolutionLayer:</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; <span class="keywordflow">return</span> detail::create_convolution_layer&lt;CLConvolutionLayerFunctions, CLTargetInfo&gt;(*polymorphic_downcast&lt;ConvolutionLayerNode *&gt;(node), ctx);</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; <span class="keywordflow">case</span> NodeType::DeconvolutionLayer:</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; <span class="keywordflow">return</span> detail::create_deconvolution_layer&lt;CLDeconvolutionLayer, CLTargetInfo&gt;(*polymorphic_downcast&lt;DeconvolutionLayerNode *&gt;(node), ctx);</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; <span class="keywordflow">case</span> NodeType::ConcatenateLayer:</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; <span class="keywordflow">return</span> detail::create_concatenate_layer&lt;CLConcatenateLayer, CLTargetInfo&gt;(*polymorphic_downcast&lt;ConcatenateLayerNode *&gt;(node));</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; <span class="keywordflow">case</span> NodeType::DepthwiseConvolutionLayer:</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; <span class="keywordflow">return</span> detail::create_depthwise_convolution_layer&lt;CLDepthwiseConvolutionLayerFunctions, CLTargetInfo&gt;(*polymorphic_downcast&lt;DepthwiseConvolutionLayerNode *&gt;(node));</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; <span class="keywordflow">case</span> NodeType::DetectionOutputLayer:</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#accb27de9ecfd8f932aee9d5702f0fde9">detail::create_detection_output_layer&lt;CPPDetectionOutputLayer, CLTargetInfo&gt;</a>(*polymorphic_downcast&lt;DetectionOutputLayerNode *&gt;(node));</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; <span class="keywordflow">case</span> NodeType::DetectionPostProcessLayer:</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#af715e29e4f43f012be92dff3ca61004c">detail::create_detection_post_process_layer&lt;CPPDetectionPostProcessLayer, CLTargetInfo&gt;</a>(*polymorphic_downcast&lt;DetectionPostProcessLayerNode *&gt;(node));</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; <span class="keywordflow">case</span> NodeType::EltwiseLayer:</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; <span class="keywordflow">return</span> detail::create_eltwise_layer&lt;CLEltwiseFunctions, CLTargetInfo&gt;(*polymorphic_downcast&lt;EltwiseLayerNode *&gt;(node));</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; <span class="keywordflow">case</span> NodeType::FlattenLayer:</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; <span class="keywordflow">return</span> detail::create_flatten_layer&lt;CLFlattenLayer, CLTargetInfo&gt;(*polymorphic_downcast&lt;FlattenLayerNode *&gt;(node));</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; <span class="keywordflow">case</span> NodeType::FullyConnectedLayer:</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; <span class="keywordflow">return</span> detail::create_fully_connected_layer&lt;CLFullyConnectedLayer, CLTargetInfo&gt;(*polymorphic_downcast&lt;FullyConnectedLayerNode *&gt;(node), ctx);</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; <span class="keywordflow">case</span> NodeType::FusedConvolutionBatchNormalizationLayer:</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; <span class="keywordflow">return</span> detail::create_fused_convolution_batch_normalization_layer&lt;CLFusedLayerTypes, CLTargetInfo&gt;(*polymorphic_downcast&lt;FusedConvolutionBatchNormalizationNode *&gt;(node));</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; <span class="keywordflow">case</span> NodeType::FusedDepthwiseConvolutionBatchNormalizationLayer:</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; <span class="keywordflow">return</span> detail::create_fused_depthwise_convolution_batch_normalization_layer&lt;CLFusedLayerTypes, CLTargetInfo&gt;(*polymorphic_downcast&lt;FusedDepthwiseConvolutionBatchNormalizationNode *&gt;(node));</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; <span class="keywordflow">case</span> NodeType::GenerateProposalsLayer:</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; <span class="keywordflow">return</span> detail::create_generate_proposals_layer&lt;CLGenerateProposalsLayer, CLTargetInfo&gt;(*polymorphic_downcast&lt;GenerateProposalsLayerNode *&gt;(node), ctx);</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; <span class="keywordflow">case</span> NodeType::NormalizationLayer:</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; <span class="keywordflow">return</span> detail::create_normalization_layer&lt;CLNormalizationLayer, CLTargetInfo&gt;(*polymorphic_downcast&lt;NormalizationLayerNode *&gt;(node), ctx);</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; <span class="keywordflow">case</span> NodeType::NormalizePlanarYUVLayer:</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; <span class="keywordflow">return</span> detail::create_normalize_planar_yuv_layer&lt;CLNormalizePlanarYUVLayer, CLTargetInfo&gt;(*polymorphic_downcast&lt;NormalizePlanarYUVLayerNode *&gt;(node));</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; <span class="keywordflow">case</span> NodeType::PadLayer:</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <span class="keywordflow">return</span> detail::create_pad_layer&lt;CLPadLayer, CLTargetInfo&gt;(*polymorphic_downcast&lt;PadLayerNode *&gt;(node));</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; <span class="keywordflow">case</span> NodeType::PermuteLayer:</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; <span class="keywordflow">return</span> detail::create_permute_layer&lt;CLPermute, CLTargetInfo&gt;(*polymorphic_downcast&lt;PermuteLayerNode *&gt;(node));</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; <span class="keywordflow">case</span> NodeType::PoolingLayer:</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; <span class="keywordflow">return</span> detail::create_pooling_layer&lt;CLPoolingLayer, CLTargetInfo&gt;(*polymorphic_downcast&lt;PoolingLayerNode *&gt;(node));</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; <span class="keywordflow">case</span> NodeType::PriorBoxLayer:</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; <span class="keywordflow">return</span> detail::create_priorbox_layer&lt;CLPriorBoxLayer, CLTargetInfo&gt;(*polymorphic_downcast&lt;PriorBoxLayerNode *&gt;(node));</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; <span class="keywordflow">case</span> NodeType::QuantizationLayer:</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; <span class="keywordflow">return</span> detail::create_quantization_layer&lt;CLQuantizationLayer, CLTargetInfo&gt;(*polymorphic_downcast&lt;QuantizationLayerNode *&gt;(node));</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; <span class="keywordflow">case</span> NodeType::ReorgLayer:</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; <span class="keywordflow">return</span> detail::create_reorg_layer&lt;CLReorgLayer, CLTargetInfo&gt;(*polymorphic_downcast&lt;ReorgLayerNode *&gt;(node));</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; <span class="keywordflow">case</span> NodeType::ReshapeLayer:</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; <span class="keywordflow">return</span> detail::create_reshape_layer&lt;CLReshapeLayer, CLTargetInfo&gt;(*polymorphic_downcast&lt;ReshapeLayerNode *&gt;(node));</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; <span class="keywordflow">case</span> NodeType::ResizeLayer:</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; <span class="keywordflow">return</span> detail::create_resize_layer&lt;CLScale, CLTargetInfo&gt;(*polymorphic_downcast&lt;ResizeLayerNode *&gt;(node));</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; <span class="keywordflow">case</span> NodeType::ROIAlignLayer:</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; <span class="keywordflow">return</span> detail::create_roi_align_layer&lt;CLROIAlignLayer, CLTargetInfo&gt;(*polymorphic_downcast&lt;ROIAlignLayerNode *&gt;(node));</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; <span class="keywordflow">case</span> NodeType::SliceLayer:</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; <span class="keywordflow">return</span> detail::create_slice_layer&lt;CLSlice, CLTargetInfo&gt;(*polymorphic_downcast&lt;SliceLayerNode *&gt;(node));</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; <span class="keywordflow">case</span> NodeType::SoftmaxLayer:</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; <span class="keywordflow">return</span> detail::create_softmax_layer&lt;CLSoftmaxLayer, CLTargetInfo&gt;(*polymorphic_downcast&lt;SoftmaxLayerNode *&gt;(node), ctx);</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; <span class="keywordflow">case</span> NodeType::StackLayer:</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; <span class="keywordflow">return</span> detail::create_stack_layer&lt;CLStackLayer, CLTargetInfo&gt;(*polymorphic_downcast&lt;StackLayerNode *&gt;(node));</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; <span class="keywordflow">case</span> NodeType::UpsampleLayer:</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; <span class="keywordflow">return</span> detail::create_upsample_layer&lt;CLUpsampleLayer, CLTargetInfo&gt;(*polymorphic_downcast&lt;UpsampleLayerNode *&gt;(node), ctx);</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; <span class="keywordflow">case</span> NodeType::YOLOLayer:</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; <span class="keywordflow">return</span> detail::create_yolo_layer&lt;CLYOLOLayer, CLTargetInfo&gt;(*polymorphic_downcast&lt;YOLOLayerNode *&gt;(node), ctx);</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; <span class="keywordflow">default</span>:</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; }</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160;}</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160;} <span class="comment">// namespace backends</span></div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160;} <span class="comment">// namespace graph</span></div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a1d89c28bd42ba9a52da008bb69367171"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">arm_compute::graph::INode::name</a></div><div class="ttdeci">std::string name() const</div><div class="ttdoc">Returns node's name.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00107">INode.cpp:107</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_accb27de9ecfd8f932aee9d5702f0fde9"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#accb27de9ecfd8f932aee9d5702f0fde9">arm_compute::graph::backends::detail::create_detection_output_layer&lt; CPPDetectionOutputLayer, CLTargetInfo &gt;</a></div><div class="ttdeci">std::unique_ptr&lt; IFunction &gt; create_detection_output_layer&lt; CPPDetectionOutputLayer, CLTargetInfo &gt;(DetectionOutputLayerNode &amp;node)</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_functions_factory_8cpp_source.xhtml#l00126">CLFunctionsFactory.cpp:126</a></div></div>
<div class="ttc" id="_function_helpers_8h_xhtml"><div class="ttname"><a href="_function_helpers_8h.xhtml">FunctionHelpers.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_a9b58d0eb9a2af8e6d7908695e1557d6c"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">arm_compute::CLScheduler::get</a></div><div class="ttdeci">static CLScheduler &amp; get()</div><div class="ttdoc">Access the scheduler singleton.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8cpp_source.xhtml#l00041">CLScheduler.cpp:41</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1utils_1_1cast_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1utils_1_1cast.xhtml">arm_compute::utils::cast</a></div><div class="ttdef"><b>Definition:</b> <a href="_cast_8h_source.xhtml#l00033">Cast.h:33</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7cfb31af63202568efef5214acfbf3ba"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">arm_compute::ITensorInfo::data_type</a></div><div class="ttdeci">virtual DataType data_type() const =0</div><div class="ttdoc">Data type used for each element of the tensor.</div></div>
<div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div>
<div class="ttc" id="_c_l_function_factory_8h_xhtml"><div class="ttname"><a href="_c_l_function_factory_8h.xhtml">CLFunctionFactory.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_graph_context_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_context.xhtml">arm_compute::graph::GraphContext</a></div><div class="ttdoc">Graph context.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_context_8h_source.xhtml#l00049">GraphContext.h:49</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aae8f98973dd49e5afd7309bb34d4e3c3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aae8f98973dd49e5afd7309bb34d4e3c3">arm_compute::test::validation::run</a></div><div class="ttdeci">im2col_func run()</div></div>
<div class="ttc" id="graph_2_logger_8h_xhtml_ab2d8baa35618bdad1d2814942355311e"><div class="ttname"><a href="graph_2_logger_8h.xhtml#ab2d8baa35618bdad1d2814942355311e">ARM_COMPUTE_LOG_GRAPH_INFO</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_INFO(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00054">Logger.h:54</a></div></div>
<div class="ttc" id="_c_p_p_functions_8h_xhtml"><div class="ttname"><a href="_c_p_p_functions_8h.xhtml">CPPFunctions.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2018 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_detection_output_layer_node_xhtml_a65d13dc93e2df5e8ab725263cf9f4ac5"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5">arm_compute::graph::DetectionOutputLayerNode::type</a></div><div class="ttdeci">NodeType type() const override</div><div class="ttdoc">Returns node's type.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_output_layer_node_8cpp_source.xhtml#l00082">DetectionOutputLayerNode.cpp:82</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_af715e29e4f43f012be92dff3ca61004c"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#af715e29e4f43f012be92dff3ca61004c">arm_compute::graph::backends::detail::create_detection_post_process_layer&lt; CPPDetectionPostProcessLayer, CLTargetInfo &gt;</a></div><div class="ttdeci">std::unique_ptr&lt; IFunction &gt; create_detection_post_process_layer&lt; CPPDetectionPostProcessLayer, CLTargetInfo &gt;(DetectionPostProcessLayerNode &amp;node)</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_functions_factory_8cpp_source.xhtml#l00170">CLFunctionsFactory.cpp:170</a></div></div>
<div class="ttc" id="_cast_8h_xhtml"><div class="ttname"><a href="_cast_8h.xhtml">Cast.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml">arm_compute::graph::INode</a></div><div class="ttdoc">Node interface.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8h_source.xhtml#l00045">INode.h:45</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7c66505457d00ece3aa4b34cab80757d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">arm_compute::ITensorInfo::tensor_shape</a></div><div class="ttdeci">virtual const TensorShape &amp; tensor_shape() const =0</div><div class="ttdoc">Size for each dimension of the tensor.</div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a27369471d9b2ba47746e1e923f585b9f"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">arm_compute::graph::INode::output</a></div><div class="ttdeci">Tensor * output(size_t idx) const</div><div class="ttdoc">Returns the tensor of a given output of the node.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00158">INode.cpp:158</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_detection_post_process_layer_node_xhtml_a23ab280af362e61b91763038fc3194f4"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml#a23ab280af362e61b91763038fc3194f4">arm_compute::graph::DetectionPostProcessLayerNode::detection_post_process_info</a></div><div class="ttdeci">DetectionPostProcessLayerInfo detection_post_process_info() const</div><div class="ttdoc">DetectionPostProcess metadata accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_node_8cpp_source.xhtml#l00042">DetectionPostProcessLayerNode.cpp:42</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_acac9cbaeea226ed297804c012dc12b16aa252659b59a03bc61e5ec827ab4448b7"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16aa252659b59a03bc61e5ec827ab4448b7">arm_compute::graph::NodeType::ConvolutionLayer</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_acac9cbaeea226ed297804c012dc12b16"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16">arm_compute::graph::NodeType</a></div><div class="ttdeci">NodeType</div><div class="ttdoc">Supported nodes.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00130">Types.h:130</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_detection_output_layer_node_xhtml_a4491336dccd18464fbbf617c981736cf"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#a4491336dccd18464fbbf617c981736cf">arm_compute::graph::DetectionOutputLayerNode::detection_output_info</a></div><div class="ttdeci">DetectionOutputLayerInfo detection_output_info() const</div><div class="ttdoc">DetectionOutput metadata accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_output_layer_node_8cpp_source.xhtml#l00042">DetectionOutputLayerNode.cpp:42</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a31488d29805a596498c0234ae392d35d"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35d">arm_compute::graph::Target</a></div><div class="ttdeci">Target</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00089">Types.h:89</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_detection_post_process_layer_node_xhtml_a65d13dc93e2df5e8ab725263cf9f4ac5"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5">arm_compute::graph::DetectionPostProcessLayerNode::type</a></div><div class="ttdeci">NodeType type() const override</div><div class="ttdoc">Returns node's type.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_node_8cpp_source.xhtml#l00094">DetectionPostProcessLayerNode.cpp:94</a></div></div>
<div class="ttc" id="classarm__compute_1_1_detection_output_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_detection_output_layer_info.xhtml">arm_compute::DetectionOutputLayerInfo</a></div><div class="ttdoc">Detection Output layer info.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00962">Types.h:962</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_detection_post_process_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml">arm_compute::graph::DetectionPostProcessLayerNode</a></div><div class="ttdoc">DetectionPostProcess Layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_node_8h_source.xhtml#l00034">DetectionPostProcessLayerNode.h:34</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_detection_output_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml">arm_compute::graph::DetectionOutputLayerNode</a></div><div class="ttdoc">DetectionOutput Layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_output_layer_node_8h_source.xhtml#l00034">DetectionOutputLayerNode.h:34</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_tensor.xhtml">arm_compute::ICLTensor</a></div><div class="ttdoc">Interface for OpenCL tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_tensor_8h_source.xhtml#l00042">ICLTensor.h:42</a></div></div>
<div class="ttc" id="classarm__compute_1_1_detection_post_process_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_detection_post_process_layer_info.xhtml">arm_compute::DetectionPostProcessLayerInfo</a></div><div class="ttdoc">Detection Output layer info.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01081">Types.h:1081</a></div></div>
<div class="ttc" id="graph_2_graph_8h_xhtml"><div class="ttname"><a href="graph_2_graph_8h.xhtml">Graph.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a6b2d83e561886647467f86c20ce39bec"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a6b2d83e561886647467f86c20ce39bec">arm_compute::graph::INode::type</a></div><div class="ttdeci">virtual NodeType type() const =0</div><div class="ttdoc">Returns node's type.</div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_ad7c09b0faaf3c808b0489012204852a9"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">arm_compute::graph::INode::input</a></div><div class="ttdeci">Tensor * input(size_t idx) const</div><div class="ttdoc">Returns the tensor of a given input of the node.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00150">INode.cpp:150</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_acac9cbaeea226ed297804c012dc12b16a5b7955cb74be105cc7e044a370d4fce8"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a5b7955cb74be105cc7e044a370d4fce8">arm_compute::graph::NodeType::DepthwiseConvolutionLayer</a></div></div>
<div class="ttc" id="_c_l_functions_8h_xhtml"><div class="ttname"><a href="_c_l_functions_8h.xhtml">CLFunctions.h</a></div></div>
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