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<div class="title">GroupedConvolutionMutator.cpp</div> </div>
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<a href="_grouped_convolution_mutator_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="_grouped_convolution_mutator_8h.xhtml">arm_compute/graph/mutators/GroupedConvolutionMutator.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="graph_2_graph_8h.xhtml">arm_compute/graph/Graph.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_builder_8h.xhtml">arm_compute/graph/GraphBuilder.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="graph_2_logger_8h.xhtml">arm_compute/graph/Logger.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;<span class="preprocessor">#include &quot;<a class="code" href="_backend_registry_8h.xhtml">arm_compute/graph/backends/BackendRegistry.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_nodes_8h.xhtml">arm_compute/graph/nodes/Nodes.h</a>&quot;</span></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="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="l00034"></a><span class="lineno"> 34</span>&#160;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="preprocessor">#include &lt;set&gt;</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;{</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="keyword">namespace </span>graph</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;{</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="keyword">namespace</span></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;<a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> create_grouped_convolution(Graph &amp;g, <span class="keyword">const</span> NodeParams &amp;params, NodeIdxPair <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>,</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; PadStrideInfo <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517d">ConvolutionMethod</a> method, ActivationLayerInfo fused_act, <a class="code" href="namespacearm__compute_1_1graph.xhtml#ac85a46f3ebd3ab09f576a994ac2dce11">FastMathHint</a> fast_math_hint, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>)</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"> 46</span>&#160; <span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a> = (<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> != <a class="code" href="namespacearm__compute_1_1graph.xhtml#aad3f5296ec88b9d552c109b04b89ad9f">EmptyNodeID</a>);</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; <span class="comment">// Split input</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="keyword">const</span> TensorDescriptor input_tensor_desc = <a class="code" href="namespacearm__compute_1_1graph.xhtml#ade2275ecfd6f344e3ec7086427863aa8">get_tensor_descriptor</a>(g, g.node(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id)-&gt;outputs()[0]);</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> input_idx = <a class="code" href="namespacearm__compute_1_1graph.xhtml#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(input_tensor_desc.layout, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> input_split = <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a0df296d05af531f77715dfeaf27f48cd">GraphBuilder::add_split_node</a>(g, params, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>, input_idx);</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="comment">// Split weights</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keyword">const</span> TensorDescriptor weights_tensor_desc = <a class="code" href="namespacearm__compute_1_1graph.xhtml#ade2275ecfd6f344e3ec7086427863aa8">get_tensor_descriptor</a>(g, g.node(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>)-&gt;outputs()[0]);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batch_idx = <a class="code" href="namespacearm__compute_1_1graph.xhtml#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(weights_tensor_desc.layout, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a628bcf7e10fc1c2a984f379a1ec3393a">DataLayoutDimension::BATCHES</a>);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> weights_split = <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a0df296d05af531f77715dfeaf27f48cd">GraphBuilder::add_split_node</a>(g, params, { <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, 0 }, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>, batch_idx);</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; <span class="comment">// Split bias</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> bias_split = <a class="code" href="namespacearm__compute_1_1graph.xhtml#aad3f5296ec88b9d552c109b04b89ad9f">EmptyNodeID</a>;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a>)</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="comment">// Split bias</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; bias_split = <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a0df296d05af531f77715dfeaf27f48cd">GraphBuilder::add_split_node</a>(g, params, { <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>, 0 }, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>, 0);</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"> 66</span>&#160; std::vector&lt;NodeIdxPair&gt; convolution_outputs;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>; ++i)</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; NodeParams group_params = params;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> conv_nid = g.add_node&lt;ConvolutionLayerNode&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, 1, method, fast_math_hint);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; g.add_connection(input_split, i, conv_nid, 0);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; g.add_connection(weights_split, i, conv_nid, 1);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a>)</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; g.add_connection(bias_split, i, conv_nid, 2);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; }</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="comment">// Add group name</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keywordflow">if</span>(!group_params.name.empty())</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; group_params.name.append(<span class="stringliteral">&quot;_g&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">arm_compute::support::cpp11::to_string</a>(i));</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; }</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="comment">// Set node parameters</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; INode *node = g.node(conv_nid);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(node == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; node-&gt;set_common_node_parameters(group_params);</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="comment">// Down-cast node</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keyword">auto</span> *conv_node = arm_compute::utils::cast::polymorphic_downcast&lt;ConvolutionLayerNode *&gt;(node);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; conv_node-&gt;set_fused_activation(fused_act);</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; convolution_outputs.push_back({ conv_nid, 0 });</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;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="comment">// Depth concatenate output</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a667742f5b5d3574fb50c8180609efac4">GraphBuilder::add_concatenate_node</a>(g, params, convolution_outputs, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>);</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;} <span class="comment">// namespace</span></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"><a class="line" href="classarm__compute_1_1graph_1_1_grouped_convolution_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68"> 101</a></span>&#160;<span class="keyword">const</span> <span class="keywordtype">char</span> *<a class="code" href="classarm__compute_1_1graph_1_1_grouped_convolution_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68">GroupedConvolutionMutator::name</a>()</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; <span class="keywordflow">return</span> <span class="stringliteral">&quot;GroupedConvolutionMutator&quot;</span>;</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"><a class="line" href="classarm__compute_1_1graph_1_1_grouped_convolution_mutator.xhtml#ae8dc84fc3eb9c937069826830b13b06d"> 106</a></span>&#160;<a class="code" href="classarm__compute_1_1graph_1_1_i_graph_mutator.xhtml#a15c294efeadfdffb6b0735dd93aedfd9">IGraphMutator::MutationType</a> <a class="code" href="classarm__compute_1_1graph_1_1_grouped_convolution_mutator.xhtml#ae8dc84fc3eb9c937069826830b13b06d">GroupedConvolutionMutator::type</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1graph_1_1_i_graph_mutator.xhtml#a15c294efeadfdffb6b0735dd93aedfd9a2e427c268ac1768b9add94b65e2d6c14">IGraphMutator::MutationType::Backend</a>;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160;}</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;</div><div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_grouped_convolution_mutator.xhtml#af6705a49326de235df4e9b6028bdcdce"> 111</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1graph_1_1_grouped_convolution_mutator.xhtml#af6705a49326de235df4e9b6028bdcdce">GroupedConvolutionMutator::mutate</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &amp;g)</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160;{</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <span class="comment">// Early exit if no Convolution layers exist in graph</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <span class="keywordflow">if</span>(g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a8a979250f01a5edba059a02748b10ea3">nodes</a>(<a class="code" href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16aa252659b59a03bc61e5ec827ab4448b7">NodeType::ConvolutionLayer</a>).empty())</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; <span class="keywordflow">return</span>;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; }</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="comment">// Total nodes</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keywordtype">size_t</span> total_nodes = g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a8a979250f01a5edba059a02748b10ea3">nodes</a>().size();</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="comment">// Iterate over convolution nodes</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; total_nodes; ++i)</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="classarm__compute_1_1graph_1_1_i_node.xhtml">INode</a> *node = g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#af8baf1f3da6d42a94d0569395ece882a">node</a>(i);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <span class="keywordflow">if</span>(node != <span class="keyword">nullptr</span> &amp;&amp; node-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a6b2d83e561886647467f86c20ce39bec">type</a>() == <a class="code" href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16aa252659b59a03bc61e5ec827ab4448b7">NodeType::ConvolutionLayer</a> &amp;&amp; arm_compute::utils::cast::polymorphic_downcast&lt;ConvolutionLayerNode *&gt;(node)-&gt;num_groups() != 1)</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; <span class="comment">// Validate node</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml">backends::IDeviceBackend</a> &amp;backend = <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a1f3feffc5bf8a42636b0e5d4f5160041">backends::BackendRegistry::get</a>().<a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a0e2e9eb7cf2545949ea4130d768bea93">get_backend</a>(node-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#aa26cd423e8fc9233bd2bff46f82f46ab">assigned_target</a>());</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> status = backend.<a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml#a2ad722cd593bc5300108c8837ce5c980">validate_node</a>(*node);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="comment">// If grouped convolution is not supported</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <span class="keywordflow">if</span>(!<span class="keywordtype">bool</span>(status))</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"> 135</span>&#160; <span class="comment">// Down-cast node</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <span class="keyword">auto</span> *conv_node = arm_compute::utils::cast::polymorphic_downcast&lt;ConvolutionLayerNode *&gt;(node);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <span class="comment">// Get internal convolution info</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="comment">// TODO (geopin01) : Create a descriptor or a clone interface</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="keyword">const</span> <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#a00525ff582f16038a1d3819aa44a23a3">conv_info</a> = conv_node-&gt;convolution_info();</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517d">ConvolutionMethod</a> conv_method = conv_node-&gt;convolution_method();</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> fused_act_info = conv_node-&gt;fused_activation();</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#ac85a46f3ebd3ab09f576a994ac2dce11">FastMathHint</a> fast_math_hint = conv_node-&gt;fast_math_hint();</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a> = conv_node-&gt;num_groups();</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params = conv_node-&gt;common_node_params();</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35d">Target</a> assigned_target = conv_node-&gt;assigned_target();</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="comment">// Extract node ids</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(conv_node-&gt;input_edge(0) == <span class="keyword">nullptr</span> || conv_node-&gt;input_edge(1) == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> input_id = conv_node-&gt;input_edge(0)-&gt;producer()-&gt;id();</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> weights_id = conv_node-&gt;input_edge(1)-&gt;producer()-&gt;id();</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> bias_id = (conv_node-&gt;input_edge(2) != <span class="keyword">nullptr</span>) ? conv_node-&gt;input_edge(2)-&gt;producer()-&gt;id() : <a class="code" href="namespacearm__compute_1_1graph.xhtml#aad3f5296ec88b9d552c109b04b89ad9f">EmptyNodeID</a>;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <span class="comment">// Get driving nodes</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; std::vector&lt;NodeIdxPair&gt; driving_nodes = <a class="code" href="namespacearm__compute_1_1graph.xhtml#a634230f98a5918f214e47d913c452d3b">get_driving_nodes</a>(*node);</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <span class="comment">// Extract activation node accessor if any</span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <span class="keyword">auto</span> node_accessor = conv_node-&gt;output(0)-&gt;extract_accessor();</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; <span class="comment">// Current max tensor and node id</span></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; <a class="code" href="namespacearm__compute_1_1graph.xhtml#a615af95e19b5d9f74d2760183566a9a3">TensorID</a> latest_tid = g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#aabacbdcb2b491b129b119273a813bb67">tensors</a>().size();</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> latest_nid = g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a8a979250f01a5edba059a02748b10ea3">nodes</a>().size();</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160;</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <span class="comment">// Create grouped convolution node</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> grouped_conv_id = create_grouped_convolution(g, params, { input_id, 0 }, weights_id, bias_id,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, conv_method, fused_act_info, fast_math_hint, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; <span class="comment">// Remove convolution node</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a09f8d22de4cd2a2881730ad58096c7c1">remove_node</a>(node-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>());</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160;</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <span class="comment">// Update batch normalization node outputs</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; <span class="keywordflow">for</span>(<span class="keyword">auto</span> &amp;driving_node : driving_nodes)</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; g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(grouped_conv_id, 0, driving_node.node_id, driving_node.index);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; }</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160;</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; <span class="comment">// Update accessor to batch normalization node</span></div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#af8baf1f3da6d42a94d0569395ece882a">node</a>(grouped_conv_id)-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0)-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a7ca865118188dd8c307ae9e84f8a75f6">set_accessor</a>(std::move(node_accessor));</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160;</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; <span class="comment">// Configure new tensors and nodes</span></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; <a class="code" href="namespacearm__compute_1_1utility.xhtml#a067ebd28103d827b6ec17032e2344064">std::for_each</a>(g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#aabacbdcb2b491b129b119273a813bb67">tensors</a>().begin() + latest_tid, g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#aabacbdcb2b491b129b119273a813bb67">tensors</a>().end(), [](std::unique_ptr&lt;Tensor&gt; &amp;t)</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; {</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; <a class="code" href="namespacearm__compute_1_1graph.xhtml#a36fd3cfa2e1d33e59e1d3e95664d8b9c">configure_tensor</a>(t.get());</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; });</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; <a class="code" href="namespacearm__compute_1_1utility.xhtml#a067ebd28103d827b6ec17032e2344064">std::for_each</a>(g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a8a979250f01a5edba059a02748b10ea3">nodes</a>().begin() + latest_nid, g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a8a979250f01a5edba059a02748b10ea3">nodes</a>().end(), [&amp;assigned_target](std::unique_ptr&lt;INode&gt; &amp;n)</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; {</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; <span class="keywordflow">if</span>(n != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; {</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; n-&gt;set_assigned_target(assigned_target);</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; }</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; });</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; }</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; }</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; }</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">// namespace graph</span></div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="namespacearm__compute_1_1graph_xhtml_ade2275ecfd6f344e3ec7086427863aa8"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#ade2275ecfd6f344e3ec7086427863aa8">arm_compute::graph::get_tensor_descriptor</a></div><div class="ttdeci">TensorDescriptor get_tensor_descriptor(const Graph &amp;g, TensorID tid)</div><div class="ttdoc">Returns the tensor descriptor of a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_utils_8h_source.xhtml#l00050">Utils.h:50</a></div></div>
<div class="ttc" id="structarm__compute_1_1graph_1_1_node_params_xhtml"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_node_params.xhtml">arm_compute::graph::NodeParams</a></div><div class="ttdoc">Common node parameters.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00196">Types.h:196</a></div></div>
<div class="ttc" id="_grouped_convolution_mutator_8h_xhtml"><div class="ttname"><a href="_grouped_convolution_mutator_8h.xhtml">GroupedConvolutionMutator.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a0df296d05af531f77715dfeaf27f48cd"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a0df296d05af531f77715dfeaf27f48cd">arm_compute::graph::GraphBuilder::add_split_node</a></div><div class="ttdeci">static NodeID add_split_node(Graph &amp;g, NodeParams params, NodeIdxPair input, unsigned int num_splits, unsigned int axis=0)</div><div class="ttdoc">Adds a split node to the graph.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00698">GraphBuilder.cpp:698</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a36fd3cfa2e1d33e59e1d3e95664d8b9c"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a36fd3cfa2e1d33e59e1d3e95664d8b9c">arm_compute::graph::configure_tensor</a></div><div class="ttdeci">void configure_tensor(Tensor *tensor)</div><div class="ttdoc">Configures tensor.</div><div class="ttdef"><b>Definition:</b> <a href="src_2graph_2_utils_8cpp_source.xhtml#l00178">Utils.cpp:178</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a634230f98a5918f214e47d913c452d3b"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a634230f98a5918f214e47d913c452d3b">arm_compute::graph::get_driving_nodes</a></div><div class="ttdeci">std::vector&lt; NodeIdxPair &gt; get_driving_nodes(const INode &amp;node)</div><div class="ttdoc">Get the list of driving nodes of a given node.</div><div class="ttdef"><b>Definition:</b> <a href="src_2graph_2_utils_8cpp_source.xhtml#l00158">Utils.cpp:158</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_aa26cd423e8fc9233bd2bff46f82f46ab"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#aa26cd423e8fc9233bd2bff46f82f46ab">arm_compute::graph::INode::assigned_target</a></div><div class="ttdeci">Target assigned_target() const</div><div class="ttdoc">Returns assigned target for this node.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00198">INode.cpp:198</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a00525ff582f16038a1d3819aa44a23a3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00597">Winograd.cpp:597</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1support_1_1cpp11_xhtml_acc5dddee1cbe93a4eaf0a9f74ee96bb7"><div class="ttname"><a href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">arm_compute::support::cpp11::to_string</a></div><div class="ttdeci">std::string to_string(T &amp;&amp;value)</div><div class="ttdoc">Convert integer and float values to string.</div><div class="ttdef"><b>Definition:</b> <a href="_toolchain_support_8h_source.xhtml#l00272">ToolchainSupport.h:272</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_grouped_convolution_mutator_xhtml_ae8dc84fc3eb9c937069826830b13b06d"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_grouped_convolution_mutator.xhtml#ae8dc84fc3eb9c937069826830b13b06d">arm_compute::graph::GroupedConvolutionMutator::type</a></div><div class="ttdeci">MutationType type() const override</div><div class="ttdoc">Returns mutation type.</div><div class="ttdef"><b>Definition:</b> <a href="_grouped_convolution_mutator_8cpp_source.xhtml#l00106">GroupedConvolutionMutator.cpp:106</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1backends_1_1_backend_registry_xhtml_a0e2e9eb7cf2545949ea4130d768bea93"><div class="ttname"><a href="classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a0e2e9eb7cf2545949ea4130d768bea93">arm_compute::graph::backends::BackendRegistry::get_backend</a></div><div class="ttdeci">IDeviceBackend &amp; get_backend(Target target)</div><div class="ttdoc">Get a backend from the registry.</div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8cpp_source.xhtml#l00051">BackendRegistry.cpp:51</a></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="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00052">Error.h:52</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_graph_builder_xhtml_a667742f5b5d3574fb50c8180609efac4"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a667742f5b5d3574fb50c8180609efac4">arm_compute::graph::GraphBuilder::add_concatenate_node</a></div><div class="ttdeci">static NodeID add_concatenate_node(Graph &amp;g, NodeParams params, const std::vector&lt; NodeIdxPair &gt; &amp;inputs, const descriptors::ConcatLayerDescriptor &amp;concat_descriptor)</div><div class="ttdoc">Adds a depth concatenate node to the graph.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00321">GraphBuilder.cpp:321</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_tensor_xhtml_a7ca865118188dd8c307ae9e84f8a75f6"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_tensor.xhtml#a7ca865118188dd8c307ae9e84f8a75f6">arm_compute::graph::Tensor::set_accessor</a></div><div class="ttdeci">void set_accessor(std::unique_ptr&lt; ITensorAccessor &gt; accessor)</div><div class="ttdoc">Sets the backend tensor accessor.</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_tensor_8cpp_source.xhtml#l00060">Tensor.cpp:60</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="namespacearm__compute_1_1test_1_1validation_xhtml_a8fcf2ddd9a1d58b1b280f5c0aed71845"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">arm_compute::test::validation::input</a></div><div class="ttdeci">auto input</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">LSTMLayerQuantized.cpp:487</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_graph_xhtml_aabacbdcb2b491b129b119273a813bb67"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph.xhtml#aabacbdcb2b491b129b119273a813bb67">arm_compute::graph::Graph::tensors</a></div><div class="ttdeci">std::vector&lt; std::unique_ptr&lt; Tensor &gt; &gt; &amp; tensors()</div><div class="ttdoc">Returns tensors of graph.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00194">Graph.cpp:194</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_i_graph_mutator_xhtml_a15c294efeadfdffb6b0735dd93aedfd9a2e427c268ac1768b9add94b65e2d6c14"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_graph_mutator.xhtml#a15c294efeadfdffb6b0735dd93aedfd9a2e427c268ac1768b9add94b65e2d6c14">arm_compute::graph::IGraphMutator::MutationType::Backend</a></div><div class="ttdoc">IR specific mutation.</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_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_grouped_convolution_mutator_xhtml_af6705a49326de235df4e9b6028bdcdce"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_grouped_convolution_mutator.xhtml#af6705a49326de235df4e9b6028bdcdce">arm_compute::graph::GroupedConvolutionMutator::mutate</a></div><div class="ttdeci">virtual void mutate(Graph &amp;g) override</div><div class="ttdoc">Walk the graph and perform a specific mutation.</div><div class="ttdef"><b>Definition:</b> <a href="_grouped_convolution_mutator_8cpp_source.xhtml#l00111">GroupedConvolutionMutator.cpp:111</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a2270b3e1d20651d2d8341c858c890830"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">arm_compute::test::validation::num_groups</a></div><div class="ttdeci">const unsigned int num_groups</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00148">Im2Col.cpp:148</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_graph_xhtml_a09f8d22de4cd2a2881730ad58096c7c1"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph.xhtml#a09f8d22de4cd2a2881730ad58096c7c1">arm_compute::graph::Graph::remove_node</a></div><div class="ttdeci">bool remove_node(NodeID nid)</div><div class="ttdoc">Remove the node with the given ID.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00035">Graph.cpp:35</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_1graph_1_1_i_node_xhtml_a5ea90a25ef8059df2d2e51b82991ebf3"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">arm_compute::graph::INode::id</a></div><div class="ttdeci">NodeID id() const</div><div class="ttdoc">Returns node's ID.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00102">INode.cpp:102</a></div></div>
<div class="ttc" id="graph_2_logger_8h_xhtml"><div class="ttname"><a href="graph_2_logger_8h.xhtml">Logger.h</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="classarm__compute_1_1graph_1_1_graph_xhtml_a538f789bf074c367457a6f8f32b83d2d"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">arm_compute::graph::Graph::add_connection</a></div><div class="ttdeci">EdgeID add_connection(NodeID source, size_t source_idx, NodeID sink, size_t sink_idx)</div><div class="ttdoc">Adds a connection between two nodes.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00069">Graph.cpp:69</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a9aeced5a5128f60a31ea3e327a45ee21"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">arm_compute::test::validation::has_bias</a></div><div class="ttdeci">const bool has_bias</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00147">Im2Col.cpp:147</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_1test_1_1validation_xhtml_a3a77be8aebd8e00522b32061d46ccdbd"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">arm_compute::test::validation::bias</a></div><div class="ttdeci">CLTensor bias</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00189">ConvolutionLayer.cpp:189</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1backends_1_1_backend_registry_xhtml_a1f3feffc5bf8a42636b0e5d4f5160041"><div class="ttname"><a href="classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a1f3feffc5bf8a42636b0e5d4f5160041">arm_compute::graph::backends::BackendRegistry::get</a></div><div class="ttdeci">static BackendRegistry &amp; get()</div><div class="ttdoc">Gets backend registry instance.</div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8cpp_source.xhtml#l00039">BackendRegistry.cpp:39</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#l00091">Types.h:91</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a74ce3f7420453d3446218ff3b7453e02a628bcf7e10fc1c2a984f379a1ec3393a"><div class="ttname"><a href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a628bcf7e10fc1c2a984f379a1ec3393a">arm_compute::DataLayoutDimension::BATCHES</a></div><div class="ttdoc">batches</div></div>
<div class="ttc" id="_graph_builder_8h_xhtml"><div class="ttname"><a href="_graph_builder_8h.xhtml">GraphBuilder.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1utility_xhtml_a067ebd28103d827b6ec17032e2344064"><div class="ttname"><a href="namespacearm__compute_1_1utility.xhtml#a067ebd28103d827b6ec17032e2344064">arm_compute::utility::for_each</a></div><div class="ttdeci">void for_each(F &amp;&amp;)</div><div class="ttdoc">Base case of for_each.</div><div class="ttdef"><b>Definition:</b> <a href="_utility_8h_source.xhtml#l00108">Utility.h:108</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_ac85a46f3ebd3ab09f576a994ac2dce11"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#ac85a46f3ebd3ab09f576a994ac2dce11">arm_compute::graph::FastMathHint</a></div><div class="ttdeci">FastMathHint</div><div class="ttdoc">Enable or disable fast math for Convolution layer.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00125">Types.h:125</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1backends_1_1_i_device_backend_xhtml_a2ad722cd593bc5300108c8837ce5c980"><div class="ttname"><a href="classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml#a2ad722cd593bc5300108c8837ce5c980">arm_compute::graph::backends::IDeviceBackend::validate_node</a></div><div class="ttdeci">virtual Status validate_node(INode &amp;node)=0</div><div class="ttdoc">Validate a node.</div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_grouped_convolution_mutator_xhtml_a0ee2c922a45715b33e30f83f8c005b68"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_grouped_convolution_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68">arm_compute::graph::GroupedConvolutionMutator::name</a></div><div class="ttdeci">const char * name() override</div><div class="ttdoc">Returns mutator name.</div><div class="ttdef"><b>Definition:</b> <a href="_grouped_convolution_mutator_8cpp_source.xhtml#l00101">GroupedConvolutionMutator.cpp:101</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_graph_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph.xhtml">arm_compute::graph::Graph</a></div><div class="ttdoc">Graph class.</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_graph_8h_source.xhtml#l00053">Graph.h:53</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a56952a8591a9d8481450ae707ae355e7"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">arm_compute::graph::NodeID</a></div><div class="ttdeci">unsigned int NodeID</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00064">Types.h:64</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_graph_xhtml_a8a979250f01a5edba059a02748b10ea3"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph.xhtml#a8a979250f01a5edba059a02748b10ea3">arm_compute::graph::Graph::nodes</a></div><div class="ttdeci">const std::vector&lt; NodeID &gt; &amp; nodes(NodeType type)</div><div class="ttdoc">Returns graph input nodes.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00174">Graph.cpp:174</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_i_graph_mutator_xhtml_a15c294efeadfdffb6b0735dd93aedfd9"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_graph_mutator.xhtml#a15c294efeadfdffb6b0735dd93aedfd9">arm_compute::graph::IGraphMutator::MutationType</a></div><div class="ttdeci">MutationType</div><div class="ttdoc">Mutation type.</div><div class="ttdef"><b>Definition:</b> <a href="_i_graph_mutator_8h_source.xhtml#l00039">IGraphMutator.h:39</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_aad3f5296ec88b9d552c109b04b89ad9f"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#aad3f5296ec88b9d552c109b04b89ad9f">arm_compute::graph::EmptyNodeID</a></div><div class="ttdeci">constexpr NodeID EmptyNodeID</div><div class="ttdoc">Constant EdgeID specifying an equivalent of null edge.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00071">Types.h:71</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_graph_xhtml_af8baf1f3da6d42a94d0569395ece882a"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph.xhtml#af8baf1f3da6d42a94d0569395ece882a">arm_compute::graph::Graph::node</a></div><div class="ttdeci">const INode * node(NodeID id) const</div><div class="ttdoc">Get node object given its id.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00204">Graph.cpp:204</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a683661ae75dcb7aef16b9c9bde31517d"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517d">arm_compute::graph::ConvolutionMethod</a></div><div class="ttdeci">ConvolutionMethod</div><div class="ttdoc">Supported Convolution layer methods.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00108">Types.h:108</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_1backends_1_1_i_device_backend_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml">arm_compute::graph::backends::IDeviceBackend</a></div><div class="ttdoc">Device backend interface.</div><div class="ttdef"><b>Definition:</b> <a href="_i_device_backend_8h_source.xhtml#l00048">IDeviceBackend.h:48</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="_nodes_8h_xhtml"><div class="ttname"><a href="_nodes_8h.xhtml">Nodes.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="_backend_registry_8h_xhtml"><div class="ttname"><a href="_backend_registry_8h.xhtml">BackendRegistry.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a615af95e19b5d9f74d2760183566a9a3"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a615af95e19b5d9f74d2760183566a9a3">arm_compute::graph::TensorID</a></div><div class="ttdeci">unsigned int TensorID</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00063">Types.h:63</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>
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