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<div class="title">FusedDepthwiseConvolutionBatchNormalizationNode.cpp</div> </div>
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<a href="_fused_depthwise_convolution_batch_normalization_node_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) 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="_fused_depthwise_convolution_batch_normalization_node_8h.xhtml">arm_compute/graph/nodes/FusedDepthwiseConvolutionBatchNormalizationNode.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="arm__compute_2core_2_utils_8h.xhtml">arm_compute/core/Utils.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="_i_node_visitor_8h.xhtml">arm_compute/graph/INodeVisitor.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="arm__compute_2graph_2_utils_8h.xhtml">arm_compute/graph/Utils.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;{</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="keyword">namespace </span>graph</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;{</div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ae8c23977d5b6d1b17e18166d726d8721"> 35</a></span>&#160;<a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ae8c23977d5b6d1b17e18166d726d8721">FusedDepthwiseConvolutionBatchNormalizationNode::FusedDepthwiseConvolutionBatchNormalizationNode</a>(<span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1quantization.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>,</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>,</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> depth_multiplier,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">DepthwiseConvolutionMethod</a> method,</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> fused_activation)</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; : _epsilon(<a class="code" href="namespacearm__compute_1_1quantization.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>), _info(std::move(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>)), _depth_multiplier(depth_multiplier), _method(method), _fused_activation(fused_activation)</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;{</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; _input_edges.resize(7, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a8e0b093eda0649ddbce791bb5076104f">EmptyEdgeID</a>);</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; _outputs.resize(1, <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa94938a3eb11fda4724c362c53c28f24">NullTensorID</a>);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;}</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;</div><div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#af5320f5c3406e2263ed1a412c59d18c5"> 46</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#af5320f5c3406e2263ed1a412c59d18c5">FusedDepthwiseConvolutionBatchNormalizationNode::set_depthwise_convolution_method</a>(<a class="code" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">DepthwiseConvolutionMethod</a> method)</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; _method = method;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;}</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a8cefd89d2de49691e778c8d5a08ac92f"> 51</a></span>&#160;<a class="code" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">DepthwiseConvolutionMethod</a> <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a8cefd89d2de49691e778c8d5a08ac92f">FusedDepthwiseConvolutionBatchNormalizationNode::depthwise_convolution_method</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="keywordflow">return</span> _method;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;}</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;</div><div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#acd39aa81617eab4d3482fa904d5dee87"> 56</a></span>&#160;<span class="keywordtype">float</span> <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#acd39aa81617eab4d3482fa904d5dee87">FusedDepthwiseConvolutionBatchNormalizationNode::epsilon</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="keywordflow">return</span> _epsilon;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;}</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;</div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ad087f1f9aa1e444236911adf6c57df04"> 61</a></span>&#160;<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ad087f1f9aa1e444236911adf6c57df04">FusedDepthwiseConvolutionBatchNormalizationNode::convolution_info</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="keywordflow">return</span> _info;</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="l00066"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ac8cef0874f04203401b5d7f5a6fa2a34"> 66</a></span>&#160;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ac8cef0874f04203401b5d7f5a6fa2a34">FusedDepthwiseConvolutionBatchNormalizationNode::depth_multiplier</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="keywordflow">return</span> _depth_multiplier;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;}</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a32186582e0a6e02ed7ac3944f60b9c62"> 71</a></span>&#160;<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a32186582e0a6e02ed7ac3944f60b9c62">FusedDepthwiseConvolutionBatchNormalizationNode::fused_activation</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keywordflow">return</span> _fused_activation;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;}</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a8f9c3ed345d401dc02c5a8f34b284a33"> 76</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a8f9c3ed345d401dc02c5a8f34b284a33">FusedDepthwiseConvolutionBatchNormalizationNode::set_fused_activation</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> fused_activation)</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;{</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; _fused_activation = <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a32186582e0a6e02ed7ac3944f60b9c62">fused_activation</a>;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;}</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"><a class="line" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#acff0248cbb86b870f1f6a897504db869"> 81</a></span>&#160;<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#acff0248cbb86b870f1f6a897504db869">FusedDepthwiseConvolutionBatchNormalizationNode::compute_output_descriptor</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> &amp;input_descriptor,</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> &amp;weights_descriptor,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>,</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keywordtype">int</span> depth_multiplier)</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="keywordtype">unsigned</span> <span class="keywordtype">int</span> output_width = 0;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> output_height = 0;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> input_width = <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75f8e464c6b01b0a4771de38669ee9a1">get_dimension_size</a>(input_descriptor, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195">DataLayoutDimension::WIDTH</a>);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> input_height = <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75f8e464c6b01b0a4771de38669ee9a1">get_dimension_size</a>(input_descriptor, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6">DataLayoutDimension::HEIGHT</a>);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> input_channels = <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75f8e464c6b01b0a4771de38669ee9a1">get_dimension_size</a>(input_descriptor, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> kernel_width = <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75f8e464c6b01b0a4771de38669ee9a1">get_dimension_size</a>(weights_descriptor, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195">DataLayoutDimension::WIDTH</a>);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> kernel_height = <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75f8e464c6b01b0a4771de38669ee9a1">get_dimension_size</a>(weights_descriptor, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6">DataLayoutDimension::HEIGHT</a>);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; std::tie(output_width, output_height) = <a class="code" href="namespacearm__compute.xhtml#a138beaeb1260b90cb03bc3f761628724">scaled_dimensions</a>(input_width, input_height, kernel_width, kernel_height, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>);</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; <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> output_descriptor = input_descriptor;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; output_descriptor.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a>(<a class="code" href="namespacearm__compute_1_1graph.xhtml#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(output_descriptor.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a4b52bb397c7296e8efe864967b44f97e">layout</a>, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195">DataLayoutDimension::WIDTH</a>), output_width);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; output_descriptor.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a>(<a class="code" href="namespacearm__compute_1_1graph.xhtml#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(output_descriptor.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a4b52bb397c7296e8efe864967b44f97e">layout</a>, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6">DataLayoutDimension::HEIGHT</a>), output_height);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; output_descriptor.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a>(<a class="code" href="namespacearm__compute_1_1graph.xhtml#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(output_descriptor.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a4b52bb397c7296e8efe864967b44f97e">layout</a>, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>), input_channels * <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ac8cef0874f04203401b5d7f5a6fa2a34">depth_multiplier</a>);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keywordflow">return</span> output_descriptor;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;}</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"><a class="line" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b"> 105</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">FusedDepthwiseConvolutionBatchNormalizationNode::forward_descriptors</a>()</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="keywordflow">if</span>((<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a6a156d1ea7a01d8b27131f30aacaf40b">input_id</a>(0) != <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa94938a3eb11fda4724c362c53c28f24">NullTensorID</a>) &amp;&amp; (<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a6a156d1ea7a01d8b27131f30aacaf40b">input_id</a>(1) != <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa94938a3eb11fda4724c362c53c28f24">NullTensorID</a>) &amp;&amp; (<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a339f9817d95cb065b7670d35c03f4d88">output_id</a>(0) != <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa94938a3eb11fda4724c362c53c28f24">NullTensorID</a>))</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; <a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml">Tensor</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>-&gt;desc() = <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">configure_output</a>(0);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</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; <span class="keywordflow">return</span> <span class="keyword">false</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"><a class="line" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710"> 117</a></span>&#160;<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">FusedDepthwiseConvolutionBatchNormalizationNode::configure_output</a>(<span class="keywordtype">size_t</span> idx)<span class="keyword"> const</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(idx);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml">Tensor</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml">Tensor</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(1);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> == <span class="keyword">nullptr</span> || <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">output_info</a> = <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#acff0248cbb86b870f1f6a897504db869">compute_output_descriptor</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>-&gt;desc(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>-&gt;desc(), _info, _depth_multiplier);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">output_info</a>;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160;}</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"><a class="line" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5"> 130</a></span>&#160;<a class="code" href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16">NodeType</a> <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5">FusedDepthwiseConvolutionBatchNormalizationNode::type</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ab61ddeea8b783f64c3881a123bd7e1f2">FusedDepthwiseConvolutionBatchNormalizationNode::node_type</a>;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160;}</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;</div><div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f"> 135</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">FusedDepthwiseConvolutionBatchNormalizationNode::accept</a>(<a class="code" href="classarm__compute_1_1graph_1_1_i_node_visitor.xhtml">INodeVisitor</a> &amp;v)</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; v.<a class="code" href="classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#af2dbe7c232e1d5d1a9d0621c3bb483a0">visit</a>(*<span class="keyword">this</span>);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160;}</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160;} <span class="comment">// namespace graph</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="structarm__compute_1_1graph_1_1_tensor_descriptor_xhtml_a1fcd64682b37ed3c2098d0094ce788d8"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">arm_compute::graph::TensorDescriptor::shape</a></div><div class="ttdeci">TensorShape shape</div><div class="ttdoc">Tensor shape.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_descriptor_8h_source.xhtml#l00109">TensorDescriptor.h:109</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node_xhtml_a3f18a7449b9d7fc9e5fec212b8e61710"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::configure_output</a></div><div class="ttdeci">TensorDescriptor configure_output(size_t idx) const override</div><div class="ttdoc">Calculates output configuration.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00117">FusedDepthwiseConvolutionBatchNormalizationNode.cpp:117</a></div></div>
<div class="ttc" id="structarm__compute_1_1graph_1_1_tensor_descriptor_xhtml"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">arm_compute::graph::TensorDescriptor</a></div><div class="ttdoc">Tensor metadata class.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_descriptor_8h_source.xhtml#l00038">TensorDescriptor.h:38</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a75f8e464c6b01b0a4771de38669ee9a1"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a75f8e464c6b01b0a4771de38669ee9a1">arm_compute::graph::get_dimension_size</a></div><div class="ttdeci">size_t get_dimension_size(const TensorDescriptor &amp;descriptor, const DataLayoutDimension data_layout_dimension)</div><div class="ttdoc">Get size of a tensor's given dimension depending on its layout.</div><div class="ttdef"><b>Definition:</b> <a href="src_2graph_2_utils_8cpp_source.xhtml#l00123">Utils.cpp:123</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node_xhtml_ad087f1f9aa1e444236911adf6c57df04"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ad087f1f9aa1e444236911adf6c57df04">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::convolution_info</a></div><div class="ttdeci">PadStrideInfo convolution_info() const</div><div class="ttdoc">Convolution metadata accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00061">FusedDepthwiseConvolutionBatchNormalizationNode.cpp:61</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node_xhtml_a65d13dc93e2df5e8ab725263cf9f4ac5"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::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="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00130">FusedDepthwiseConvolutionBatchNormalizationNode.cpp:130</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node_xhtml_ac8cef0874f04203401b5d7f5a6fa2a34"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ac8cef0874f04203401b5d7f5a6fa2a34">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::depth_multiplier</a></div><div class="ttdeci">unsigned int depth_multiplier() const</div><div class="ttdoc">Depth multiplier accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00066">FusedDepthwiseConvolutionBatchNormalizationNode.cpp:66</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6"><div class="ttname"><a href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6">arm_compute::DataLayoutDimension::HEIGHT</a></div><div class="ttdoc">height</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#l00466">Error.h:466</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a25cae7166733a51d1354f3f395652782"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">arm_compute::test::validation::output_info</a></div><div class="ttdeci">output_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00328">Winograd.cpp:328</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node_xhtml_a8cefd89d2de49691e778c8d5a08ac92f"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a8cefd89d2de49691e778c8d5a08ac92f">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::depthwise_convolution_method</a></div><div class="ttdeci">DepthwiseConvolutionMethod depthwise_convolution_method() const</div><div class="ttdoc">Depthwise convolution layer method accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00051">FusedDepthwiseConvolutionBatchNormalizationNode.cpp:51</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node_xhtml_af5320f5c3406e2263ed1a412c59d18c5"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#af5320f5c3406e2263ed1a412c59d18c5">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::set_depthwise_convolution_method</a></div><div class="ttdeci">void set_depthwise_convolution_method(DepthwiseConvolutionMethod method)</div><div class="ttdoc">Sets the depthwise convolution layer method to use.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00046">FusedDepthwiseConvolutionBatchNormalizationNode.cpp:46</a></div></div>
<div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml">arm_compute::ActivationLayerInfo</a></div><div class="ttdoc">Activation Layer Information class.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01615">Types.h:1615</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node_xhtml_ae8c23977d5b6d1b17e18166d726d8721"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ae8c23977d5b6d1b17e18166d726d8721">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::FusedDepthwiseConvolutionBatchNormalizationNode</a></div><div class="ttdeci">FusedDepthwiseConvolutionBatchNormalizationNode(float epsilon, PadStrideInfo info, unsigned int depth_multiplier, DepthwiseConvolutionMethod method, ActivationLayerInfo fused_activation=ActivationLayerInfo())</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00035">FusedDepthwiseConvolutionBatchNormalizationNode.cpp:35</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) 2017-2020 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_fused_depthwise_convolution_batch_normalization_node_xhtml_adb48b5745c55605a2d4ec6f665bb7f3f"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::accept</a></div><div class="ttdeci">void accept(INodeVisitor &amp;v) override</div><div class="ttdoc">Accepts a node visitor.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00135">FusedDepthwiseConvolutionBatchNormalizationNode.cpp:135</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a138beaeb1260b90cb03bc3f761628724"><div class="ttname"><a href="namespacearm__compute.xhtml#a138beaeb1260b90cb03bc3f761628724">arm_compute::scaled_dimensions</a></div><div class="ttdeci">std::pair&lt; unsigned int, unsigned int &gt; scaled_dimensions(int width, int height, int kernel_width, int kernel_height, const PadStrideInfo &amp;pad_stride_info, const Size2D &amp;dilation=Size2D(1U, 1U))</div><div class="ttdoc">Returns expected width and height of output scaled tensor depending on dimensions rounding mode.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_utils_8cpp_source.xhtml#l00402">Utils.cpp:402</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node_xhtml_a8f9c3ed345d401dc02c5a8f34b284a33"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a8f9c3ed345d401dc02c5a8f34b284a33">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::set_fused_activation</a></div><div class="ttdeci">void set_fused_activation(ActivationLayerInfo fused_activation)</div><div class="ttdoc">Sets fused activation.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00076">FusedDepthwiseConvolutionBatchNormalizationNode.cpp:76</a></div></div>
<div class="ttc" id="arm__compute_2core_2_utils_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_utils_8h.xhtml">Utils.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node_xhtml_ab61ddeea8b783f64c3881a123bd7e1f2"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#ab61ddeea8b783f64c3881a123bd7e1f2">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::node_type</a></div><div class="ttdeci">static constexpr NodeType node_type</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_node_8h_source.xhtml#l00123">FusedDepthwiseConvolutionBatchNormalizationNode.h:123</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00152">Error.h:152</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_visitor_xhtml_af2dbe7c232e1d5d1a9d0621c3bb483a0"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#af2dbe7c232e1d5d1a9d0621c3bb483a0">arm_compute::graph::INodeVisitor::visit</a></div><div class="ttdeci">virtual void visit(INode &amp;n)=0</div><div class="ttdoc">Visit INode.</div></div>
<div class="ttc" id="_i_node_visitor_8h_xhtml"><div class="ttname"><a href="_i_node_visitor_8h.xhtml">INodeVisitor.h</a></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="arm__compute_2graph_2_utils_8h_xhtml"><div class="ttname"><a href="arm__compute_2graph_2_utils_8h.xhtml">Utils.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node_xhtml_a32186582e0a6e02ed7ac3944f60b9c62"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a32186582e0a6e02ed7ac3944f60b9c62">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::fused_activation</a></div><div class="ttdeci">ActivationLayerInfo fused_activation() const</div><div class="ttdoc">Returns fused activation.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00071">FusedDepthwiseConvolutionBatchNormalizationNode.cpp:71</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a75ce9b1baad4303a53124d6f0795821f"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">arm_compute::graph::DepthwiseConvolutionMethod</a></div><div class="ttdeci">DepthwiseConvolutionMethod</div><div class="ttdoc">Supported Depthwise Convolution layer methods.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00117">Types.h:117</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a6a156d1ea7a01d8b27131f30aacaf40b"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a6a156d1ea7a01d8b27131f30aacaf40b">arm_compute::graph::INode::input_id</a></div><div class="ttdeci">TensorID input_id(size_t idx) const</div><div class="ttdoc">Returns the tensor ID of a given input of the node.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00137">INode.cpp:137</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node_xhtml_acff0248cbb86b870f1f6a897504db869"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#acff0248cbb86b870f1f6a897504db869">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::compute_output_descriptor</a></div><div class="ttdeci">static TensorDescriptor compute_output_descriptor(const TensorDescriptor &amp;input_descriptor, const TensorDescriptor &amp;weights_descriptor, const PadStrideInfo &amp;info, int depth_multiplier)</div><div class="ttdoc">Computes convolution output descriptor.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00081">FusedDepthwiseConvolutionBatchNormalizationNode.cpp:81</a></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#l00132">Types.h:132</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml">arm_compute::PadStrideInfo</a></div><div class="ttdoc">Padding and stride information class.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00686">Types.h:686</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00102">AbsoluteDifference.cpp:102</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229"><div class="ttname"><a href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">arm_compute::DataLayoutDimension::CHANNEL</a></div><div class="ttdoc">channel</div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a8e0b093eda0649ddbce791bb5076104f"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a8e0b093eda0649ddbce791bb5076104f">arm_compute::graph::EmptyEdgeID</a></div><div class="ttdeci">constexpr EdgeID EmptyEdgeID</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00073">Types.h:73</a></div></div>
<div class="ttc" id="_fused_depthwise_convolution_batch_normalization_node_8h_xhtml"><div class="ttname"><a href="_fused_depthwise_convolution_batch_normalization_node_8h.xhtml">FusedDepthwiseConvolutionBatchNormalizationNode.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00188">ConvolutionLayer.cpp:188</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a339f9817d95cb065b7670d35c03f4d88"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a339f9817d95cb065b7670d35c03f4d88">arm_compute::graph::INode::output_id</a></div><div class="ttdeci">TensorID output_id(size_t idx) const</div><div class="ttdoc">Returns the tensor ID of a given output of the node.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00144">INode.cpp:144</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_a9c54fb6cea3557692fe7c00c40bb40ad"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">arm_compute::TensorShape::set</a></div><div class="ttdeci">TensorShape &amp; set(size_t dimension, size_t value, bool apply_dim_correction=true)</div><div class="ttdoc">Accessor to set the value of one of the dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00078">TensorShape.h:78</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="namespacearm__compute_xhtml_a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195"><div class="ttname"><a href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195">arm_compute::DataLayoutDimension::WIDTH</a></div><div class="ttdoc">width</div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node_xhtml_acd39aa81617eab4d3482fa904d5dee87"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#acd39aa81617eab4d3482fa904d5dee87">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::epsilon</a></div><div class="ttdeci">float epsilon() const</div><div class="ttdoc">Epsilon parameter accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00056">FusedDepthwiseConvolutionBatchNormalizationNode.cpp:56</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_aa94938a3eb11fda4724c362c53c28f24"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#aa94938a3eb11fda4724c362c53c28f24">arm_compute::graph::NullTensorID</a></div><div class="ttdeci">constexpr TensorID NullTensorID</div><div class="ttdoc">Constant NodeID specifying an equivalent of null node.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00069">Types.h:69</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_visitor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node_visitor.xhtml">arm_compute::graph::INodeVisitor</a></div><div class="ttdoc">Node visitor interface.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_visitor_8h_source.xhtml#l00034">INodeVisitor.h:34</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4f4125dba5283887b34f889b1c615c0c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">arm_compute::test::validation::info</a></div><div class="ttdeci">info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00182">ConvolutionLayer.cpp:182</a></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="structarm__compute_1_1graph_1_1_tensor_descriptor_xhtml_a4b52bb397c7296e8efe864967b44f97e"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a4b52bb397c7296e8efe864967b44f97e">arm_compute::graph::TensorDescriptor::layout</a></div><div class="ttdeci">DataLayout layout</div><div class="ttdoc">Data layout.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_descriptor_8h_source.xhtml#l00111">TensorDescriptor.h:111</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node_xhtml_a6272eb9643b239dd0c1e7adde3ee093b"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fused_depthwise_convolution_batch_normalization_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">arm_compute::graph::FusedDepthwiseConvolutionBatchNormalizationNode::forward_descriptors</a></div><div class="ttdeci">bool forward_descriptors() override</div><div class="ttdoc">Forwards descriptor information to outputs if possible.</div><div class="ttdef"><b>Definition:</b> <a href="_fused_depthwise_convolution_batch_normalization_node_8cpp_source.xhtml#l00105">FusedDepthwiseConvolutionBatchNormalizationNode.cpp:105</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a1df15aed3ed531f442ecea2a131d65a4"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a1df15aed3ed531f442ecea2a131d65a4">arm_compute::graph::get_dimension_idx</a></div><div class="ttdeci">size_t get_dimension_idx(DataLayout data_layout, const DataLayoutDimension data_layout_dimension)</div><div class="ttdoc">Get index of a tensor's given dimension depending on its layout.</div><div class="ttdef"><b>Definition:</b> <a href="src_2graph_2_utils_8cpp_source.xhtml#l00129">Utils.cpp:129</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a989ab3e96426615bb98e04e0235088ca"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">arm_compute::test::validation::src</a></div><div class="ttdeci">cast configure &amp; src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_cast_8cpp_source.xhtml#l00169">Cast.cpp:169</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_tensor.xhtml">arm_compute::graph::Tensor</a></div><div class="ttdoc">Tensor object.</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_tensor_8h_source.xhtml#l00041">Tensor.h:41</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1quantization_xhtml_a552dc3787d7ea1675f3e4e8993501d58"><div class="ttname"><a href="namespacearm__compute_1_1quantization.xhtml#a552dc3787d7ea1675f3e4e8993501d58">arm_compute::quantization::epsilon</a></div><div class="ttdeci">constexpr float epsilon</div><div class="ttdef"><b>Definition:</b> <a href="_asymm_helpers_8cpp_source.xhtml#l00036">AsymmHelpers.cpp:36</a></div></div>
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