| <!-- HTML header for doxygen 1.8.9.1--> |
| <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> |
| <html xmlns="http://www.w3.org/1999/xhtml"> |
| <head> |
| <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> |
| <meta http-equiv="X-UA-Compatible" content="IE=9"/> |
| <meta name="generator" content="Doxygen 1.8.13"/> |
| <meta name="robots" content="NOINDEX, NOFOLLOW" /> <!-- Prevent indexing by search engines --> |
| <title>Compute Library: src/graph/GraphBuilder.cpp Source File</title> |
| <link href="tabs.css" rel="stylesheet" type="text/css"/> |
| <script type="text/javascript" src="jquery.js"></script> |
| <script type="text/javascript" src="dynsections.js"></script> |
| <link href="navtree.css" rel="stylesheet" type="text/css"/> |
| <script type="text/javascript" src="resize.js"></script> |
| <script type="text/javascript" src="navtreedata.js"></script> |
| <script type="text/javascript" src="navtree.js"></script> |
| <script type="text/javascript"> |
| $(document).ready(initResizable); |
| </script> |
| <link href="search/search.css" rel="stylesheet" type="text/css"/> |
| <script type="text/javascript" src="search/searchdata.js"></script> |
| <script type="text/javascript" src="search/search.js"></script> |
| <script type="text/x-mathjax-config"> |
| MathJax.Hub.Config({ |
| extensions: ["tex2jax.js"], |
| jax: ["input/TeX","output/HTML-CSS"], |
| }); |
| </script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> |
| <link href="doxygen.css" rel="stylesheet" type="text/css" /> |
| </head> |
| <body> |
| <div id="top"><!-- do not remove this div, it is closed by doxygen! --> |
| <div id="titlearea"> |
| <table cellspacing="0" cellpadding="0"> |
| <tbody> |
| <tr style="height: 56px;"> |
| <td style="padding-left: 0.5em;"> |
| <div id="projectname">Compute Library |
|  <span id="projectnumber">18.11</span> |
| </div> |
| </td> |
| </tr> |
| </tbody> |
| </table> |
| </div> |
| <!-- end header part --> |
| <!-- Generated by Doxygen 1.8.13 --> |
| <script type="text/javascript"> |
| var searchBox = new SearchBox("searchBox", "search",false,'Search'); |
| </script> |
| <script type="text/javascript" src="menudata.js"></script> |
| <script type="text/javascript" src="menu.js"></script> |
| <script type="text/javascript"> |
| $(function() { |
| initMenu('',true,false,'search.php','Search'); |
| $(document).ready(function() { init_search(); }); |
| }); |
| </script> |
| <div id="main-nav"></div> |
| </div><!-- top --> |
| <div id="side-nav" class="ui-resizable side-nav-resizable"> |
| <div id="nav-tree"> |
| <div id="nav-tree-contents"> |
| <div id="nav-sync" class="sync"></div> |
| </div> |
| </div> |
| <div id="splitbar" style="-moz-user-select:none;" |
| class="ui-resizable-handle"> |
| </div> |
| </div> |
| <script type="text/javascript"> |
| $(document).ready(function(){initNavTree('_graph_builder_8cpp_source.xhtml','');}); |
| </script> |
| <div id="doc-content"> |
| <!-- window showing the filter options --> |
| <div id="MSearchSelectWindow" |
| onmouseover="return searchBox.OnSearchSelectShow()" |
| onmouseout="return searchBox.OnSearchSelectHide()" |
| onkeydown="return searchBox.OnSearchSelectKey(event)"> |
| </div> |
| |
| <!-- iframe showing the search results (closed by default) --> |
| <div id="MSearchResultsWindow"> |
| <iframe src="javascript:void(0)" frameborder="0" |
| name="MSearchResults" id="MSearchResults"> |
| </iframe> |
| </div> |
| |
| <div class="header"> |
| <div class="headertitle"> |
| <div class="title">GraphBuilder.cpp</div> </div> |
| </div><!--header--> |
| <div class="contents"> |
| <a href="_graph_builder_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> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <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> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <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> <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> <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> <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> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <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> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <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> <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> <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> <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> <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> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="_graph_builder_8h.xhtml">arm_compute/graph/GraphBuilder.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="graph_2_graph_8h.xhtml">arm_compute/graph/Graph.h</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2graph_2_utils_8h.xhtml">arm_compute/graph/Utils.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_topological_sort_8h.xhtml">arm_compute/graph/algorithms/TopologicalSort.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_nodes_8h.xhtml">arm_compute/graph/nodes/Nodes.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="_toolchain_support_8h.xhtml">support/ToolchainSupport.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"><a class="line" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37"> 33</a></span> <span class="preprocessor">#define CHECK_NODEIDX_PAIR(pair, g) \</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor"> ARM_COMPUTE_ERROR_ON(((pair).node_id >= (g).nodes().size()) || ((g).node((pair).node_id) == nullptr) || ((pair).index >= (g).node((pair).node_id)->num_outputs()));</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">namespace </span>graph</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> Status set_node_params(Graph &g, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> nid, NodeParams &params)</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  INode *node = g.node(nid);</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(!node);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  node->set_common_node_parameters(params);</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">return</span> Status{};</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> }</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> Status set_accessor_on_node(Graph &g, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> nid, <span class="keywordtype">bool</span> is_output, <span class="keywordtype">size_t</span> idx, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> accessor)</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> {</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  INode *node = g.node(nid);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(!node);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  Tensor *tensor = is_output ? node->output(idx) : node->input(idx);</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(!tensor);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  tensor->set_accessor(std::move(accessor));</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">return</span> Status{};</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> }</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> add_const_node_with_name(Graph &g, NodeParams params, <span class="keyword">const</span> std::string &name, TensorDescriptor desc, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> accessor)</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> {</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  params.name = params.name.empty() ? <span class="stringliteral">""</span> : params.name + name;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keyword">auto</span> nid = <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#aeb3adf92ce5e694dc98780b4c72c0121">GraphBuilder::add_const_node</a>(g, params, std::move(desc), std::move(accessor));</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  set_node_params(g, nid, params);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">return</span> nid;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> }</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="keyword">template</span> <<span class="keyword">typename</span> NT, <span class="keyword">typename</span>... Args></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> create_simple_single_input_output_node(Graph &g, NodeParams &params, NodeIdxPair input, Args &&... args)</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> {</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a>(input, g);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> nid = g.add_node<NT>(std::forward<Args>(args)...);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  g.add_connection(input.node_id, input.index, nid, 0);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  set_node_params(g, nid, params);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">return</span> nid;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> }</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> } <span class="comment">// namespace</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#aeb3adf92ce5e694dc98780b4c72c0121"> 86</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#aeb3adf92ce5e694dc98780b4c72c0121">GraphBuilder::add_const_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> desc, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> accessor)</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> {</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keyword">auto</span> nid = g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">add_node</a><<a class="code" href="classarm__compute_1_1graph_1_1_const_node.xhtml">ConstNode</a>>(desc);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  set_node_params(g, nid, params);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  set_accessor_on_node(g, nid, <span class="keyword">true</span>, 0, std::move(accessor));</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordflow">return</span> nid;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> }</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ac65ca2e1e1afc1b844be5d807c911101"> 94</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ac65ca2e1e1afc1b844be5d807c911101">GraphBuilder::add_input_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> desc, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> accessor)</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> {</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keyword">auto</span> nid = g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">add_node</a><<a class="code" href="classarm__compute_1_1graph_1_1_input_node.xhtml">InputNode</a>>(desc);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  set_node_params(g, nid, params);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  set_accessor_on_node(g, nid, <span class="keyword">true</span>, 0, std::move(accessor));</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordflow">return</span> nid;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> }</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a0db6223a8a4c44a263fbc5e9ec039e18"> 102</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a0db6223a8a4c44a263fbc5e9ec039e18">GraphBuilder::add_output_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> accessor)</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> {</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a>(input, g);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> nid = g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">add_node</a><<a class="code" href="classarm__compute_1_1graph_1_1_output_node.xhtml">OutputNode</a>>();</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, nid, 0);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  set_node_params(g, nid, params);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  set_accessor_on_node(g, nid, <span class="keyword">false</span>, 0, std::move(accessor));</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordflow">return</span> nid;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> }</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div><div class="line"><a name="l00114"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a1461a28935fa52d8d82075f8dda811e9"> 114</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a1461a28935fa52d8d82075f8dda811e9">GraphBuilder::add_activation_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> act_info)</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> {</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<ActivationLayerNode>(g, params, input, act_info);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> }</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00119"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a09979aca2a60b08c6cdbe6aebb942e53"> 119</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a09979aca2a60b08c6cdbe6aebb942e53">GraphBuilder::add_batch_normalization_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <span class="keywordtype">float</span> <a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> mean_accessor, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> var_accessor,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> beta_accessor, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> gamma_accessor)</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> {</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a>(input, g);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordtype">bool</span> has_beta = (beta_accessor != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordtype">bool</span> has_gamma = (gamma_accessor != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="comment">// Get input tensor descriptor</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> input_tensor_desc = <a class="code" href="namespacearm__compute_1_1graph.xhtml#ade2275ecfd6f344e3ec7086427863aa8">get_tensor_descriptor</a>(g, g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#af8baf1f3da6d42a94d0569395ece882a">node</a>(input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>)-><a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">outputs</a>()[0]);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="comment">// Calculate Common Descriptor</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> common_desc = input_tensor_desc;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  common_desc.<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">TensorShape</a>(<a class="code" href="namespacearm__compute_1_1graph.xhtml#a75f8e464c6b01b0a4771de38669ee9a1">get_dimension_size</a>(input_tensor_desc, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>));</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="comment">// Create mean and var nodes</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keyword">auto</span> mean_nid = add_const_node_with_name(g, params, <span class="stringliteral">"Mean"</span>, common_desc, std::move(mean_accessor));</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keyword">auto</span> var_nid = add_const_node_with_name(g, params, <span class="stringliteral">"Variance"</span>, common_desc, std::move(var_accessor));</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="comment">// Create beta node</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> beta_nid = <a class="code" href="namespacearm__compute_1_1graph.xhtml#aad3f5296ec88b9d552c109b04b89ad9f">EmptyNodeID</a>;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">if</span>(has_beta)</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  beta_nid = add_const_node_with_name(g, params, <span class="stringliteral">"Beta"</span>, common_desc, std::move(beta_accessor));</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  }</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="comment">// Create gamma node</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> gamma_nid = <a class="code" href="namespacearm__compute_1_1graph.xhtml#aad3f5296ec88b9d552c109b04b89ad9f">EmptyNodeID</a>;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">if</span>(has_gamma)</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  {</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  gamma_nid = add_const_node_with_name(g, params, <span class="stringliteral">"Gamma"</span>, common_desc, std::move(gamma_accessor));</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  }</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="comment">// Create batch normalization node and add connections</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> batch_norm_nid = g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">add_node</a><<a class="code" href="classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml">BatchNormalizationLayerNode</a>>(<a class="code" href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>);</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, batch_norm_nid, 0);</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(mean_nid, 0, batch_norm_nid, 1);</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(var_nid, 0, batch_norm_nid, 2);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordflow">if</span>(has_beta)</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  {</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(beta_nid, 0, batch_norm_nid, 3);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  }</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">if</span>(has_gamma)</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  {</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(gamma_nid, 0, batch_norm_nid, 4);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  }</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  set_node_params(g, batch_norm_nid, params);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordflow">return</span> batch_norm_nid;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> }</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div><div class="line"><a name="l00171"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a9e02d090f0b711a7adf97367606e6857"> 171</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a9e02d090f0b711a7adf97367606e6857">GraphBuilder::add_bounding_box_transform_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> deltas, <a class="code" href="classarm__compute_1_1_bounding_box_transform_info.xhtml">BoundingBoxTransformInfo</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>)</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> {</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <a class="code" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a>(input, g);</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <a class="code" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a>(deltas, g);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> nid = g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">add_node</a><<a class="code" href="classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml">BoundingBoxTransformLayerNode</a>>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> </div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, nid, 0);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(deltas.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, deltas.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, nid, 1);</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> </div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  set_node_params(g, nid, params);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordflow">return</span> nid;</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> }</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00185"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a19b8128b8e78988834c00c4e9cd97c3e"> 185</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a19b8128b8e78988834c00c4e9cd97c3e">GraphBuilder::add_channel_shuffle_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_groups)</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> {</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<ChannelShuffleLayerNode>(g, params, input, num_groups);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> }</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> </div><div class="line"><a name="l00190"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a7344e19b6368c4d93bdb6d1d2441a03b"> 190</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a7344e19b6368c4d93bdb6d1d2441a03b">GraphBuilder::add_convolution_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> kernel_spatial_extend, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> depth, <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#acbf8f8a6dd185de04c1981c57a8963cf">conv_info</a>,</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_groups, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517d">ConvolutionMethod</a> method, <a class="code" href="namespacearm__compute_1_1graph.xhtml#ac85a46f3ebd3ab09f576a994ac2dce11">FastMathHint</a> fast_math_hint,</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> weights_accessor, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> bias_accessor,</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> weights_quant_info,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> out_quant_info)</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> {</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <a class="code" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a>(input, g);</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(depth == 0);</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>((kernel_spatial_extend.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a> == 0) || (kernel_spatial_extend.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a> == 0));</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> </div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordtype">bool</span> has_bias = (bias_accessor != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> </div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="comment">// Get input tensor descriptor</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> input_tensor_desc = <a class="code" href="namespacearm__compute_1_1graph.xhtml#ade2275ecfd6f344e3ec7086427863aa8">get_tensor_descriptor</a>(g, g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#af8baf1f3da6d42a94d0569395ece882a">node</a>(input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>)-><a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">outputs</a>()[0]);</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="comment">// Create weights node</span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> w_desc = input_tensor_desc;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  w_desc.<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#ae9707da1c4d86f7695586fe1207883e7">get_dimension_idx</a>(input_tensor_desc, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195">DataLayoutDimension::WIDTH</a>), kernel_spatial_extend.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>);</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  w_desc.shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a>(<a class="code" href="namespacearm__compute_1_1graph.xhtml#ae9707da1c4d86f7695586fe1207883e7">get_dimension_idx</a>(input_tensor_desc, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6">DataLayoutDimension::HEIGHT</a>), kernel_spatial_extend.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a>);</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  w_desc.shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a>(<a class="code" href="namespacearm__compute_1_1graph.xhtml#ae9707da1c4d86f7695586fe1207883e7">get_dimension_idx</a>(input_tensor_desc, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>),</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75f8e464c6b01b0a4771de38669ee9a1">get_dimension_size</a>(input_tensor_desc, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>) / num_groups);</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  w_desc.shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a>(<a class="code" href="namespacearm__compute_1_1graph.xhtml#ae9707da1c4d86f7695586fe1207883e7">get_dimension_idx</a>(input_tensor_desc, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a628bcf7e10fc1c2a984f379a1ec3393a">DataLayoutDimension::BATCHES</a>), depth);</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordflow">if</span>(!weights_quant_info.<a class="code" href="structarm__compute_1_1_quantization_info.xhtml#a644718bb2fb240de962dc3c9a1fdf0dc">empty</a>())</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  {</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  w_desc.quant_info = weights_quant_info;</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  }</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> w_nid = add_const_node_with_name(g, params, <span class="stringliteral">"Weights"</span>, w_desc, std::move(weights_accessor));</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="comment">// Create bias nodes</span></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> b_nid = <a class="code" href="namespacearm__compute_1_1graph.xhtml#aad3f5296ec88b9d552c109b04b89ad9f">EmptyNodeID</a>;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordflow">if</span>(has_bias)</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  {</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> b_desc = input_tensor_desc;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  b_desc.<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">TensorShape</a>(depth);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">is_data_type_quantized_asymmetric</a>(input_tensor_desc.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a6118865e7371b107bd5fb4dd4a9e99a3">data_type</a>))</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  {</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  b_desc.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a6118865e7371b107bd5fb4dd4a9e99a3">data_type</a> = <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>;</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  }</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  b_nid = add_const_node_with_name(g, params, <span class="stringliteral">"Bias"</span>, b_desc, std::move(bias_accessor));</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  }</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="comment">// Create convolution node and connect</span></div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> conv_nid = g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">add_node</a><<a class="code" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml">ConvolutionLayerNode</a>>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acbf8f8a6dd185de04c1981c57a8963cf">conv_info</a>, num_groups, method, fast_math_hint, out_quant_info);</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, conv_nid, 0);</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(w_nid, 0, conv_nid, 1);</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordflow">if</span>(has_bias)</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  {</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(b_nid, 0, conv_nid, 2);</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  }</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  set_node_params(g, conv_nid, params);</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> </div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keywordflow">return</span> conv_nid;</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> }</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </div><div class="line"><a name="l00246"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a1bdbfd685e3b270aa4e80ddd655de692"> 246</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a1bdbfd685e3b270aa4e80ddd655de692">GraphBuilder::add_deconvolution_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input,</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> kernel_spatial_extend, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> depth, <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> deconv_info,</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> inner_border, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> weights_accessor,</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> bias_accessor)</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> {</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <a class="code" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a>(input, g);</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(depth == 0);</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>((kernel_spatial_extend.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a> == 0) || (kernel_spatial_extend.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a> == 0));</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> </div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keywordtype">bool</span> has_bias = (bias_accessor != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="comment">// Get input tensor descriptor</span></div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> input_tensor_desc = <a class="code" href="namespacearm__compute_1_1graph.xhtml#ade2275ecfd6f344e3ec7086427863aa8">get_tensor_descriptor</a>(g, g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#af8baf1f3da6d42a94d0569395ece882a">node</a>(input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>)-><a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">outputs</a>()[0]);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="comment">// Create weights node</span></div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> w_desc = input_tensor_desc;</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  w_desc.<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#ae9707da1c4d86f7695586fe1207883e7">get_dimension_idx</a>(input_tensor_desc, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195">DataLayoutDimension::WIDTH</a>), kernel_spatial_extend.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>);</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  w_desc.shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a>(<a class="code" href="namespacearm__compute_1_1graph.xhtml#ae9707da1c4d86f7695586fe1207883e7">get_dimension_idx</a>(input_tensor_desc, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6">DataLayoutDimension::HEIGHT</a>), kernel_spatial_extend.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a>);</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  w_desc.shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a>(<a class="code" href="namespacearm__compute_1_1graph.xhtml#ae9707da1c4d86f7695586fe1207883e7">get_dimension_idx</a>(input_tensor_desc, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>),</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75f8e464c6b01b0a4771de38669ee9a1">get_dimension_size</a>(input_tensor_desc, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>));</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  w_desc.shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a>(<a class="code" href="namespacearm__compute_1_1graph.xhtml#ae9707da1c4d86f7695586fe1207883e7">get_dimension_idx</a>(input_tensor_desc, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a628bcf7e10fc1c2a984f379a1ec3393a">DataLayoutDimension::BATCHES</a>), depth);</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span> </div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> w_nid = add_const_node_with_name(g, params, <span class="stringliteral">"Weights"</span>, w_desc, std::move(weights_accessor));</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> </div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="comment">// Create bias nodes</span></div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> b_nid = <a class="code" href="namespacearm__compute_1_1graph.xhtml#aad3f5296ec88b9d552c109b04b89ad9f">EmptyNodeID</a>;</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordflow">if</span>(has_bias)</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  {</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> b_desc = input_tensor_desc;</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  b_desc.<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">TensorShape</a>(depth);</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">is_data_type_quantized_asymmetric</a>(input_tensor_desc.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a6118865e7371b107bd5fb4dd4a9e99a3">data_type</a>))</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  {</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  b_desc.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a6118865e7371b107bd5fb4dd4a9e99a3">data_type</a> = <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>;</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  }</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  b_nid = add_const_node_with_name(g, params, <span class="stringliteral">"Bias"</span>, b_desc, std::move(bias_accessor));</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  }</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> </div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="comment">// Create convolution node and connect</span></div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> deconv_nid = g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">add_node</a><<a class="code" href="classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml">DeconvolutionLayerNode</a>>(deconv_info, inner_border);</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, deconv_nid, 0);</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(w_nid, 0, deconv_nid, 1);</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keywordflow">if</span>(has_bias)</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  {</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(b_nid, 0, deconv_nid, 2);</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  }</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  set_node_params(g, deconv_nid, params);</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span> </div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordflow">return</span> deconv_nid;</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> }</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span> </div><div class="line"><a name="l00296"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a01bd60eb7c6d76fd3f65a3fee87250b8"> 296</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a01bd60eb7c6d76fd3f65a3fee87250b8">GraphBuilder::add_concatenate_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, std::vector<NodeIdxPair> inputs, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02">DataLayoutDimension</a> axis)</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span> {</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(inputs.size() == 0);</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span> </div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> nid = g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">add_node</a><<a class="code" href="classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml">ConcatenateLayerNode</a>>(inputs.size(), axis);</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> </div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0;</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordflow">for</span>(<span class="keyword">const</span> <span class="keyword">auto</span> &input : inputs)</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  {</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <a class="code" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a>(input, g);</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(input.node_id, input.index, nid, i++);</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  }</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  set_node_params(g, nid, params);</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span> </div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordflow">return</span> nid;</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> }</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> </div><div class="line"><a name="l00313"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a65107cd0cd29562a65d5db3233ff1bcd"> 313</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a65107cd0cd29562a65d5db3233ff1bcd">GraphBuilder::add_depthwise_convolution_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> kernel_spatial_extend, <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#acbf8f8a6dd185de04c1981c57a8963cf">conv_info</a>,</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">DepthwiseConvolutionMethod</a> method,</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> weights_accessor, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> bias_accessor, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> quant_info)</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span> {</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <a class="code" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a>(input, g);</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>((kernel_spatial_extend.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a> == 0) || (kernel_spatial_extend.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a> == 0));</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span> </div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keywordtype">bool</span> has_bias = (bias_accessor != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span> </div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="comment">// Get input tensor descriptor</span></div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> input_tensor_desc = <a class="code" href="namespacearm__compute_1_1graph.xhtml#ade2275ecfd6f344e3ec7086427863aa8">get_tensor_descriptor</a>(g, g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#af8baf1f3da6d42a94d0569395ece882a">node</a>(input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>)-><a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">outputs</a>()[0]);</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span> </div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="comment">// Create weights node</span></div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> w_desc = input_tensor_desc;</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  w_desc.<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#ae9707da1c4d86f7695586fe1207883e7">get_dimension_idx</a>(input_tensor_desc, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195">DataLayoutDimension::WIDTH</a>), kernel_spatial_extend.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>);</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  w_desc.shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a>(<a class="code" href="namespacearm__compute_1_1graph.xhtml#ae9707da1c4d86f7695586fe1207883e7">get_dimension_idx</a>(input_tensor_desc, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6">DataLayoutDimension::HEIGHT</a>), kernel_spatial_extend.<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a>);</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  w_desc.shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a>(<a class="code" href="namespacearm__compute_1_1graph.xhtml#ae9707da1c4d86f7695586fe1207883e7">get_dimension_idx</a>(input_tensor_desc, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>),</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75f8e464c6b01b0a4771de38669ee9a1">get_dimension_size</a>(input_tensor_desc, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>));</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordflow">if</span>(!quant_info.<a class="code" href="structarm__compute_1_1_quantization_info.xhtml#a644718bb2fb240de962dc3c9a1fdf0dc">empty</a>())</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  {</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  w_desc.quant_info = quant_info;</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  }</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span> </div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> w_nid = add_const_node_with_name(g, params, <span class="stringliteral">"Weights"</span>, w_desc, std::move(weights_accessor));</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span> </div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="comment">// Create bias nodes</span></div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> b_nid = <a class="code" href="namespacearm__compute_1_1graph.xhtml#aad3f5296ec88b9d552c109b04b89ad9f">EmptyNodeID</a>;</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keywordflow">if</span>(has_bias)</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  {</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> b_desc = input_tensor_desc;</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  b_desc.<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">TensorShape</a>(<a class="code" href="namespacearm__compute_1_1graph.xhtml#a75f8e464c6b01b0a4771de38669ee9a1">get_dimension_size</a>(input_tensor_desc, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>));</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> </div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">is_data_type_quantized_asymmetric</a>(b_desc.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a6118865e7371b107bd5fb4dd4a9e99a3">data_type</a>))</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  {</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  b_desc.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a6118865e7371b107bd5fb4dd4a9e99a3">data_type</a> = <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>;</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  }</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span> </div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  b_nid = add_const_node_with_name(g, params, <span class="stringliteral">"Bias"</span>, b_desc, std::move(bias_accessor));</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  }</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> </div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="comment">// Create convolution node and connect</span></div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> conv_nid = g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">add_node</a><<a class="code" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml">DepthwiseConvolutionLayerNode</a>>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acbf8f8a6dd185de04c1981c57a8963cf">conv_info</a>, method);</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, conv_nid, 0);</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(w_nid, 0, conv_nid, 1);</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keywordflow">if</span>(has_bias)</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  {</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(b_nid, 0, conv_nid, 2);</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  }</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  set_node_params(g, conv_nid, params);</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span> </div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keywordflow">return</span> conv_nid;</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span> }</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span> </div><div class="line"><a name="l00366"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a3484452057c88a68b9242816b50a0687"> 366</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a3484452057c88a68b9242816b50a0687">GraphBuilder::add_dummy_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>)</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span> {</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<DummyNode>(g, params, input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>);</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span> }</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span> </div><div class="line"><a name="l00371"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a193c384a821bc30573b13975eccbe58a"> 371</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a193c384a821bc30573b13975eccbe58a">GraphBuilder::add_elementwise_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input0, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input1, <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4">EltwiseOperation</a> operation)</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> {</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <a class="code" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a>(input0, g);</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <a class="code" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a>(input1, g);</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span> </div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> nid = g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">add_node</a><<a class="code" href="classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml">EltwiseLayerNode</a>>(operation);</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span> </div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(input0.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, input0.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, nid, 0);</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(input1.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, input1.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, nid, 1);</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span> </div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  set_node_params(g, nid, params);</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span> </div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keywordflow">return</span> nid;</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span> }</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span> </div><div class="line"><a name="l00386"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a639fab29a682a532ca20615210b366ad"> 386</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a639fab29a682a532ca20615210b366ad">GraphBuilder::add_flatten_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input)</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span> {</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<FlattenLayerNode>(g, params, input);</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> }</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span> </div><div class="line"><a name="l00391"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a8b01e9f9b9a47d245bc70c3887598cca"> 391</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a8b01e9f9b9a47d245bc70c3887598cca">GraphBuilder::add_fully_connected_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_outputs,</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> weights_accessor, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> bias_accessor,</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_fully_connected_layer_info.xhtml">FullyConnectedLayerInfo</a> fc_info,</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> weights_quant_info, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> out_quant_info)</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span> {</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <a class="code" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a>(input, g);</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(num_outputs == 0);</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> </div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="keywordtype">bool</span> has_bias = (bias_accessor != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span> </div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="comment">// Get input tensor descriptor</span></div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> input_tensor_desc = <a class="code" href="namespacearm__compute_1_1graph.xhtml#ade2275ecfd6f344e3ec7086427863aa8">get_tensor_descriptor</a>(g, g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#af8baf1f3da6d42a94d0569395ece882a">node</a>(input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>)-><a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">outputs</a>()[0]);</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span> </div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="comment">// Create weights node</span></div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> w_desc = <a class="code" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a634ff2f1f48c7b5eeefcdb619cca9ade">FullyConnectedLayerNode::compute_weights_descriptor</a>(input_tensor_desc, num_outputs, fc_info, weights_quant_info);</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> w_nid = add_const_node_with_name(g, params, <span class="stringliteral">"Weights"</span>, w_desc, std::move(weights_accessor));</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span> </div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="comment">// Create bias nodes</span></div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> b_nid = <a class="code" href="namespacearm__compute_1_1graph.xhtml#aad3f5296ec88b9d552c109b04b89ad9f">EmptyNodeID</a>;</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keywordflow">if</span>(has_bias)</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  {</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> b_desc = input_tensor_desc;</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  b_desc.<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">TensorShape</a>(num_outputs);</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">is_data_type_quantized_asymmetric</a>(input_tensor_desc.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a6118865e7371b107bd5fb4dd4a9e99a3">data_type</a>))</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  {</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  b_desc.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a6118865e7371b107bd5fb4dd4a9e99a3">data_type</a> = <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>;</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  }</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  b_nid = add_const_node_with_name(g, params, <span class="stringliteral">"Bias"</span>, b_desc, std::move(bias_accessor));</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  }</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span> </div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="comment">// Create fully connected node and connect</span></div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> fc_nid = g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">add_node</a><<a class="code" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml">FullyConnectedLayerNode</a>>(num_outputs, out_quant_info, fc_info);</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, fc_nid, 0);</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(w_nid, 0, fc_nid, 1);</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keywordflow">if</span>(has_bias)</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  {</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(b_nid, 0, fc_nid, 2);</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  }</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span> </div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  set_node_params(g, fc_nid, params);</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span> </div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="keywordflow">return</span> fc_nid;</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span> }</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span> </div><div class="line"><a name="l00435"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a8965f4ef424a3b9142706cfe50b7e6cf"> 435</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a8965f4ef424a3b9142706cfe50b7e6cf">GraphBuilder::add_generate_proposals_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> scores, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> deltas, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> anchors, <a class="code" href="classarm__compute_1_1_generate_proposals_info.xhtml">GenerateProposalsInfo</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>)</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span> {</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <a class="code" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a>(scores, g);</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <a class="code" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a>(deltas, g);</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <a class="code" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a>(anchors, g);</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span> </div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> nid = g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">add_node</a><<a class="code" href="classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml">GenerateProposalsLayerNode</a>>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>);</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span> </div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(scores.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, scores.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, nid, 0);</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(deltas.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, deltas.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, nid, 1);</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(anchors.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, anchors.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, nid, 2);</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span> </div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  set_node_params(g, nid, params);</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordflow">return</span> nid;</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span> }</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span> </div><div class="line"><a name="l00451"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a542464b49825a7f82b42909409405010"> 451</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a542464b49825a7f82b42909409405010">GraphBuilder::add_normalization_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <a class="code" href="classarm__compute_1_1_normalization_layer_info.xhtml">NormalizationLayerInfo</a> norm_info)</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span> {</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<NormalizationLayerNode>(g, params, input, norm_info);</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span> }</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span> </div><div class="line"><a name="l00456"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a2bf294b4d12b6430e4e6b6ba8db8273b"> 456</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a2bf294b4d12b6430e4e6b6ba8db8273b">GraphBuilder::add_normalize_planar_yuv_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input,</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> mean_accessor, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> std_accessor)</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span> {</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <a class="code" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a>(input, g);</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span> </div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="comment">// Get input tensor descriptor</span></div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> input_tensor_desc = <a class="code" href="namespacearm__compute_1_1graph.xhtml#ade2275ecfd6f344e3ec7086427863aa8">get_tensor_descriptor</a>(g, g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#af8baf1f3da6d42a94d0569395ece882a">node</a>(input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>)-><a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">outputs</a>()[0]);</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span> </div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="comment">// Calculate Common Descriptor</span></div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> common_desc = input_tensor_desc;</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  common_desc.<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">TensorShape</a>(<a class="code" href="namespacearm__compute_1_1graph.xhtml#a75f8e464c6b01b0a4771de38669ee9a1">get_dimension_size</a>(input_tensor_desc, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>));</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span> </div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="comment">// Create mean and std nodes</span></div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keyword">auto</span> mean_nid = add_const_node_with_name(g, params, <span class="stringliteral">"Mean"</span>, common_desc, std::move(mean_accessor));</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="keyword">auto</span> std_nid = add_const_node_with_name(g, params, <span class="stringliteral">"Std"</span>, common_desc, std::move(std_accessor));</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span> </div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="comment">// Create normalize planar YUV node and add connections</span></div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> norm_planar_yuv_nid = g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">add_node</a><<a class="code" href="classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml">NormalizePlanarYUVLayerNode</a>>();</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, norm_planar_yuv_nid, 0);</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(mean_nid, 0, norm_planar_yuv_nid, 1);</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(std_nid, 0, norm_planar_yuv_nid, 2);</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  set_node_params(g, norm_planar_yuv_nid, params);</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span> </div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keywordflow">return</span> norm_planar_yuv_nid;</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span> }</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span> </div><div class="line"><a name="l00482"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#af6679b5fdb9181104408232be9907ca4"> 482</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#af6679b5fdb9181104408232be9907ca4">GraphBuilder::add_pad_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <a class="code" href="namespacearm__compute.xhtml#ac1a1b012674e0f1de071a611391828ad">PaddingList</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a>)</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span> {</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<PadLayerNode>(g, params, input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a>);</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span> }</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span> </div><div class="line"><a name="l00487"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ad0a6a6580be03b445d9dcc64ced5e2ef"> 487</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ad0a6a6580be03b445d9dcc64ced5e2ef">GraphBuilder::add_permute_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <a class="code" href="classarm__compute_1_1_strides.xhtml">PermutationVector</a> perm, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> layout)</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span> {</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<PermuteLayerNode>(g, params, input, perm, layout);</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span> }</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span> </div><div class="line"><a name="l00492"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ab52fa970654d32e0c0621cf718a6861f"> 492</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ab52fa970654d32e0c0621cf718a6861f">GraphBuilder::add_pooling_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a> pool_info)</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span> {</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<PoolingLayerNode>(g, params, input, pool_info);</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span> }</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span> </div><div class="line"><a name="l00497"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a19497828e303f0b26d0e58f6f9d0ca24"> 497</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a19497828e303f0b26d0e58f6f9d0ca24">GraphBuilder::add_priorbox_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input0, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input1, <a class="code" href="classarm__compute_1_1_prior_box_layer_info.xhtml">PriorBoxLayerInfo</a> prior_info)</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span> {</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <a class="code" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a>(input0, g);</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <a class="code" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a>(input1, g);</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> </div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="comment">// Create priorbox node and connect</span></div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> prior_nid = g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">add_node</a><<a class="code" href="classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml">PriorBoxLayerNode</a>>(prior_info);</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(input0.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, input0.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, prior_nid, 0);</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(input1.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, input1.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, prior_nid, 1);</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span> </div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  set_node_params(g, prior_nid, params);</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span> </div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <span class="keywordflow">return</span> prior_nid;</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span> }</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span> </div><div class="line"><a name="l00512"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a9d0c83a96ca66565407885ff41214665"> 512</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a9d0c83a96ca66565407885ff41214665">GraphBuilder::add_reorg_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <span class="keywordtype">int</span> stride)</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span> {</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<ReorgLayerNode>(g, params, input, stride);</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span> }</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span> </div><div class="line"><a name="l00517"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a96b9a9be8e6bc94f1a245d9625c5b596"> 517</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a96b9a9be8e6bc94f1a245d9625c5b596">GraphBuilder::add_reshape_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>)</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span> {</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<ReshapeLayerNode>(g, params, input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>);</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span> }</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span> </div><div class="line"><a name="l00522"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a4e6a956431d508ac913a77cf1f9eaa69"> 522</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a4e6a956431d508ac913a77cf1f9eaa69">GraphBuilder::add_resize_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <a class="code" href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9">InterpolationPolicy</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>,</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="keywordtype">float</span> width_scale, <span class="keywordtype">float</span> height_scale)</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span> {</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<ResizeLayerNode>(g, params, input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>, width_scale, height_scale);</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span> }</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span> </div><div class="line"><a name="l00528"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#aeeebbfe02ab3fe0320a82d6c3413eeeb"> 528</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#aeeebbfe02ab3fe0320a82d6c3413eeeb">GraphBuilder::add_roi_align_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> rois, <a class="code" href="classarm__compute_1_1_r_o_i_pooling_layer_info.xhtml">ROIPoolingLayerInfo</a> pool_info)</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span> {</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <a class="code" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a>(input, g);</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <a class="code" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a>(rois, g);</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span> </div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> nid = g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">add_node</a><<a class="code" href="classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml">ROIAlignLayerNode</a>>(pool_info);</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span> </div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, nid, 0);</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(rois.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, rois.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, nid, 1);</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span> </div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  set_node_params(g, nid, params);</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keywordflow">return</span> nid;</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span> }</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span> </div><div class="line"><a name="l00542"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a7396e101536756a6aaf05f043a6f0b13"> 542</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a7396e101536756a6aaf05f043a6f0b13">GraphBuilder::add_scale_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> &params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> mul_accessor, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> add_accessor)</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span> {</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <a class="code" href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a>(input, g);</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span> </div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="comment">// Get input tensor descriptor</span></div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> input_tensor_desc = <a class="code" href="namespacearm__compute_1_1graph.xhtml#ade2275ecfd6f344e3ec7086427863aa8">get_tensor_descriptor</a>(g, g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#af8baf1f3da6d42a94d0569395ece882a">node</a>(input.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>)-><a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">outputs</a>()[0]);</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span> </div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="comment">// Create mul node</span></div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> mul_desc = input_tensor_desc;</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> C = input_tensor_desc.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>[<a class="code" href="namespacearm__compute_1_1graph.xhtml#ae9707da1c4d86f7695586fe1207883e7">get_dimension_idx</a>(mul_desc, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>)];</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  mul_desc.shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a>(<a class="code" href="namespacearm__compute_1_1graph.xhtml#ae9707da1c4d86f7695586fe1207883e7">get_dimension_idx</a>(input_tensor_desc, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195">DataLayoutDimension::WIDTH</a>), 1);</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  mul_desc.shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a>(<a class="code" href="namespacearm__compute_1_1graph.xhtml#ae9707da1c4d86f7695586fe1207883e7">get_dimension_idx</a>(input_tensor_desc, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6">DataLayoutDimension::HEIGHT</a>), 1);</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  mul_desc.shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a>(<a class="code" href="namespacearm__compute_1_1graph.xhtml#ae9707da1c4d86f7695586fe1207883e7">get_dimension_idx</a>(input_tensor_desc, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>), C);</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> mul_const_nid = add_const_node_with_name(g, params, <span class="stringliteral">"Mul"</span>, mul_desc, std::move(mul_accessor));</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> mul_const_nidxp = { mul_const_nid, 0 };</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span> </div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="comment">// Create add node</span></div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> add_desc = mul_desc;</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> add_const_nid = add_const_node_with_name(g, params, <span class="stringliteral">"Add"</span>, add_desc, std::move(add_accessor));</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> add_const_nidxp = { add_const_nid, 0 };</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span> </div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <span class="comment">// Create node and connect</span></div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> mul_node = <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a193c384a821bc30573b13975eccbe58a">GraphBuilder::add_elementwise_node</a>(g, params, input, mul_const_nidxp, <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4a62b6d55816cf737bfc6f42e60df1a3f2">EltwiseOperation::Mul</a>);</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> mulnode_nidxp = { mul_node, 0 };</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> add_node = <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a193c384a821bc30573b13975eccbe58a">GraphBuilder::add_elementwise_node</a>(g, params, mulnode_nidxp, add_const_nidxp, <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4aec211f7c20af43e742bf2570c3cb84f9">EltwiseOperation::Add</a>);</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span> </div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <span class="keywordflow">return</span> add_node;</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span> }</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span> </div><div class="line"><a name="l00571"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#af06fa4df1027c97658c0c26570b2bdb5"> 571</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#af06fa4df1027c97658c0c26570b2bdb5">GraphBuilder::add_softmax_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a>)</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span> {</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<SoftmaxLayerNode>(g, params, input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a>);</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span> }</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span> </div><div class="line"><a name="l00576"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a819d4ebfd6c79e430f7dc0a5e5241203"> 576</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a819d4ebfd6c79e430f7dc0a5e5241203">GraphBuilder::add_slice_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &starts, <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &ends)</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span> {</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<SliceLayerNode>(g, params, input, starts, ends);</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span> }</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span> </div><div class="line"><a name="l00581"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a0df296d05af531f77715dfeaf27f48cd"> 581</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a0df296d05af531f77715dfeaf27f48cd">GraphBuilder::add_split_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_splits, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axis)</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span> {</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<SplitLayerNode>(g, params, input, num_splits, axis);</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span> }</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span> </div><div class="line"><a name="l00586"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#abfc484c5e7a1a8cdd8a545857a8dc425"> 586</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#abfc484c5e7a1a8cdd8a545857a8dc425">GraphBuilder::add_upsample_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>, <a class="code" href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9">InterpolationPolicy</a> upsampling_policy)</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span> {</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<UpsampleLayerNode>(g, params, input, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>, upsampling_policy);</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span> }</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span> </div><div class="line"><a name="l00591"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a2a0e27fb3cd961fc292b73bd92c7e0ad"> 591</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a2a0e27fb3cd961fc292b73bd92c7e0ad">GraphBuilder::add_yolo_node</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &g, <a class="code" href="structarm__compute_1_1graph_1_1_node_params.xhtml">NodeParams</a> params, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> act_info, int32_t num_classes)</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span> {</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<YOLOLayerNode>(g, params, input, act_info, num_classes);</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span> }</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span> } <span class="comment">// namespace graph</span></div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span> } <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 &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#l00044">Utils.h:44</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#l00181">Types.h:181</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1graph_1_1_tensor_descriptor_xhtml_a6118865e7371b107bd5fb4dd4a9e99a3"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a6118865e7371b107bd5fb4dd4a9e99a3">arm_compute::graph::TensorDescriptor::data_type</a></div><div class="ttdeci">DataType data_type</div><div class="ttdoc">Data type. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_descriptor_8h_source.xhtml#l00110">TensorDescriptor.h:110</a></div></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_graph_builder_xhtml_a2a0e27fb3cd961fc292b73bd92c7e0ad"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a2a0e27fb3cd961fc292b73bd92c7e0ad">arm_compute::graph::GraphBuilder::add_yolo_node</a></div><div class="ttdeci">static NodeID add_yolo_node(Graph &g, NodeParams params, NodeIdxPair input, ActivationLayerInfo act_info, int32_t num_classes)</div><div class="ttdoc">Adds a yolo layer to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00591">GraphBuilder.cpp:591</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1graph_1_1_node_idx_pair_xhtml_a4d1bd9a71b406746667977841561b0aa"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">arm_compute::graph::NodeIdxPair::node_id</a></div><div class="ttdeci">NodeID node_id</div><div class="ttdoc">Node ID. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00176">Types.h:176</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 &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#l00581">GraphBuilder.cpp:581</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a966a9c417ce5e94dca08d9b5e745c0c9"><div class="ttname"><a href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9">arm_compute::InterpolationPolicy</a></div><div class="ttdeci">InterpolationPolicy</div><div class="ttdoc">Interpolation method. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00391">Types.h:391</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_arithmetic_division_8cpp_source.xhtml#l00096">ArithmeticDivision.cpp:96</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_eltwise_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_eltwise_layer_node.xhtml">arm_compute::graph::EltwiseLayerNode</a></div><div class="ttdoc">Eltwise Layer node. </div><div class="ttdef"><b>Definition:</b> <a href="_eltwise_layer_node_8h_source.xhtml#l00034">EltwiseLayerNode.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a09979aca2a60b08c6cdbe6aebb942e53"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a09979aca2a60b08c6cdbe6aebb942e53">arm_compute::graph::GraphBuilder::add_batch_normalization_node</a></div><div class="ttdeci">static NodeID add_batch_normalization_node(Graph &g, NodeParams params, NodeIdxPair input, float epsilon, ITensorAccessorUPtr mean_accessor=nullptr, ITensorAccessorUPtr var_accessor=nullptr, ITensorAccessorUPtr beta_accessor=nullptr, ITensorAccessorUPtr gamma_accessor=nullptr)</div><div class="ttdoc">Adds a batch normalization layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00119">GraphBuilder.cpp:119</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_generate_proposals_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_generate_proposals_info.xhtml">arm_compute::GenerateProposalsInfo</a></div><div class="ttdoc">Generate Proposals Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01085">Types.h:1085</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ab146b9cbab6e73e7588b240dc709fe01"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">arm_compute::test::validation::beta</a></div><div class="ttdeci">beta</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00087">GEMM.cpp:87</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div> |
| <div class="ttc" id="_toolchain_support_8h_xhtml"><div class="ttname"><a href="_toolchain_support_8h.xhtml">ToolchainSupport.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a7344e19b6368c4d93bdb6d1d2441a03b"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a7344e19b6368c4d93bdb6d1d2441a03b">arm_compute::graph::GraphBuilder::add_convolution_node</a></div><div class="ttdeci">static NodeID add_convolution_node(Graph &g, NodeParams params, NodeIdxPair input, Size2D kernel_spatial_extend, unsigned int depth, PadStrideInfo conv_info, unsigned int num_groups=1, ConvolutionMethod method=ConvolutionMethod::Default, FastMathHint fast_math_hint=FastMathHint::Disabled, ITensorAccessorUPtr weights_accessor=nullptr, ITensorAccessorUPtr bias_accessor=nullptr, const QuantizationInfo weights_quant_info=QuantizationInfo(), const QuantizationInfo out_quant_info=QuantizationInfo())</div><div class="ttdoc">Adds a convolution layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00190">GraphBuilder.cpp:190</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ad986b73e9d5f47a623a9b6d773c25e34"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">arm_compute::test::validation::policy</a></div><div class="ttdeci">policy</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_arithmetic_subtraction_8cpp_source.xhtml#l00175">ArithmeticSubtraction.cpp:175</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_aa12973876c037bddff8e9ece94aca0e4"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4">arm_compute::graph::EltwiseOperation</a></div><div class="ttdeci">EltwiseOperation</div><div class="ttdoc">Supported Element-wise operations. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00094">Types.h:94</a></div></div> |
| <div class="ttc" id="_graph_builder_8cpp_xhtml_aecb5b9d224c1c27edf84cfdd4944fa37"><div class="ttname"><a href="_graph_builder_8cpp.xhtml#aecb5b9d224c1c27edf84cfdd4944fa37">CHECK_NODEIDX_PAIR</a></div><div class="ttdeci">#define CHECK_NODEIDX_PAIR(pair, g)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00033">GraphBuilder.cpp:33</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_batch_normalization_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_batch_normalization_layer_node.xhtml">arm_compute::graph::BatchNormalizationLayerNode</a></div><div class="ttdoc">Batch Normalization Layer node. </div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_node_8h_source.xhtml#l00034">BatchNormalizationLayerNode.h:34</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_ae9707da1c4d86f7695586fe1207883e7"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#ae9707da1c4d86f7695586fe1207883e7">arm_compute::graph::get_dimension_idx</a></div><div class="ttdeci">size_t get_dimension_idx(const TensorDescriptor &descriptor, const DataLayoutDimension data_layout_dimension)</div><div class="ttdoc">Get index of a tensor&#39;s given dimension depending on its layout. </div><div class="ttdef"><b>Definition:</b> <a href="src_2graph_2_utils_8cpp_source.xhtml#l00124">Utils.cpp:124</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 &descriptor, const DataLayoutDimension data_layout_dimension)</div><div class="ttdoc">Get size of a tensor&#39;s given dimension depending on its layout. </div><div class="ttdef"><b>Definition:</b> <a href="src_2graph_2_utils_8cpp_source.xhtml#l00118">Utils.cpp:118</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ac1a1b012674e0f1de071a611391828ad"><div class="ttname"><a href="namespacearm__compute.xhtml#ac1a1b012674e0f1de071a611391828ad">arm_compute::PaddingList</a></div><div class="ttdeci">std::vector< PaddingInfo > PaddingList</div><div class="ttdoc">List of padding information. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00480">Types.h:480</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a74ce3f7420453d3446218ff3b7453e02"><div class="ttname"><a href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02">arm_compute::DataLayoutDimension</a></div><div class="ttdeci">DataLayoutDimension</div><div class="ttdoc">[DataLayout enum definition] </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00120">Types.h:120</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_xhtml_a424221c5dfc8fe79f88a677d1b3b4494"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph.xhtml#a424221c5dfc8fe79f88a677d1b3b4494">arm_compute::graph::Graph::add_node</a></div><div class="ttdeci">NodeID add_node(Ts &&... args)</div><div class="ttdoc">Adds a node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="graph_2_graph_8h_source.xhtml#l00232">Graph.h:232</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a4e6a956431d508ac913a77cf1f9eaa69"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a4e6a956431d508ac913a77cf1f9eaa69">arm_compute::graph::GraphBuilder::add_resize_node</a></div><div class="ttdeci">static NodeID add_resize_node(Graph &g, NodeParams params, NodeIdxPair input, InterpolationPolicy policy, float width_scale, float height_scale)</div><div class="ttdoc">Adds a resize layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00522">GraphBuilder.cpp:522</a></div></div> |
| <div class="ttc" id="_asymm_helpers_8cpp_xhtml_a552dc3787d7ea1675f3e4e8993501d58"><div class="ttname"><a href="_asymm_helpers_8cpp.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a></div><div class="ttdeci">constexpr float epsilon</div><div class="ttdef"><b>Definition:</b> <a href="_asymm_helpers_8cpp_source.xhtml#l00033">AsymmHelpers.cpp:33</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a542464b49825a7f82b42909409405010"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a542464b49825a7f82b42909409405010">arm_compute::graph::GraphBuilder::add_normalization_node</a></div><div class="ttdeci">static NodeID add_normalization_node(Graph &g, NodeParams params, NodeIdxPair input, NormalizationLayerInfo norm_info)</div><div class="ttdoc">Adds a normalization layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00451">GraphBuilder.cpp:451</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_ad0a6a6580be03b445d9dcc64ced5e2ef"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ad0a6a6580be03b445d9dcc64ced5e2ef">arm_compute::graph::GraphBuilder::add_permute_node</a></div><div class="ttdeci">static NodeID add_permute_node(Graph &g, NodeParams params, NodeIdxPair input, PermutationVector perm, DataLayout layout=DataLayout::UNKNOWN)</div><div class="ttdoc">Adds a permute layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00487">GraphBuilder.cpp:487</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="classarm__compute_1_1_normalization_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_normalization_layer_info.xhtml">arm_compute::NormalizationLayerInfo</a></div><div class="ttdoc">Normalization Layer Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01343">Types.h:1343</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml">arm_compute::graph::NormalizePlanarYUVLayerNode</a></div><div class="ttdoc">Batch Normalization Layer node. </div><div class="ttdef"><b>Definition:</b> <a href="_normalize_planar_y_u_v_layer_node_8h_source.xhtml#l00034">NormalizePlanarYUVLayerNode.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_af6679b5fdb9181104408232be9907ca4"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#af6679b5fdb9181104408232be9907ca4">arm_compute::graph::GraphBuilder::add_pad_node</a></div><div class="ttdeci">static NodeID add_pad_node(Graph &g, NodeParams params, NodeIdxPair input, PaddingList padding)</div><div class="ttdoc">Adds a pad layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00482">GraphBuilder.cpp:482</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#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a01bd60eb7c6d76fd3f65a3fee87250b8"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a01bd60eb7c6d76fd3f65a3fee87250b8">arm_compute::graph::GraphBuilder::add_concatenate_node</a></div><div class="ttdeci">static NodeID add_concatenate_node(Graph &g, NodeParams params, std::vector< NodeIdxPair > inputs, DataLayoutDimension axis)</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#l00296">GraphBuilder.cpp:296</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1_fully_connected_layer_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_fully_connected_layer_info.xhtml">arm_compute::FullyConnectedLayerInfo</a></div><div class="ttdoc">Fully connected layer info. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00802">Types.h:802</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a41c3f59161734b8492782359f583b676"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">arm_compute::graph::ITensorAccessorUPtr</a></div><div class="ttdeci">std::unique_ptr< ITensorAccessor > ITensorAccessorUPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_accessor_8h_source.xhtml#l00050">ITensorAccessor.h:50</a></div></div> |
| <div class="ttc" id="_topological_sort_8h_xhtml"><div class="ttname"><a href="_topological_sort_8h.xhtml">TopologicalSort.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a9e02d090f0b711a7adf97367606e6857"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a9e02d090f0b711a7adf97367606e6857">arm_compute::graph::GraphBuilder::add_bounding_box_transform_node</a></div><div class="ttdeci">static NodeID add_bounding_box_transform_node(Graph &g, NodeParams params, NodeIdxPair input, NodeIdxPair deltas, BoundingBoxTransformInfo info)</div><div class="ttdoc">Adds a bounding box transform layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00171">GraphBuilder.cpp:171</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a96b9a9be8e6bc94f1a245d9625c5b596"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a96b9a9be8e6bc94f1a245d9625c5b596">arm_compute::graph::GraphBuilder::add_reshape_node</a></div><div class="ttdeci">static NodeID add_reshape_node(Graph &g, NodeParams params, NodeIdxPair input, TensorShape shape)</div><div class="ttdoc">Adds a reshape layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00517">GraphBuilder.cpp:517</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</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#l01283">Types.h:1283</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a8965f4ef424a3b9142706cfe50b7e6cf"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a8965f4ef424a3b9142706cfe50b7e6cf">arm_compute::graph::GraphBuilder::add_generate_proposals_node</a></div><div class="ttdeci">static NodeID add_generate_proposals_node(Graph &g, NodeParams params, NodeIdxPair scores, NodeIdxPair deltas, NodeIdxPair anchors, GenerateProposalsInfo info)</div><div class="ttdoc">Adds a generate proposals layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00435">GraphBuilder.cpp:435</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a819d4ebfd6c79e430f7dc0a5e5241203"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a819d4ebfd6c79e430f7dc0a5e5241203">arm_compute::graph::GraphBuilder::add_slice_node</a></div><div class="ttdeci">static NodeID add_slice_node(Graph &g, NodeParams params, NodeIdxPair input, Coordinates &starts, Coordinates &ends)</div><div class="ttdoc">Adds a slice node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00576">GraphBuilder.cpp:576</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a096668313a9a819d54a2e65ec21ff0cc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">arm_compute::test::validation::info</a></div><div class="ttdeci">src info() -> set_format(Format::S16)</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2018 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_size2_d_xhtml_a02afeaaf8574e7a78d6b466ff2695052"><div class="ttname"><a href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">arm_compute::Size2D::height</a></div><div class="ttdeci">size_t height</div><div class="ttdoc">Height of the image region or rectangle. </div><div class="ttdef"><b>Definition:</b> <a href="_size2_d_8h_source.xhtml#l00093">Size2D.h:93</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_abfc484c5e7a1a8cdd8a545857a8dc425"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#abfc484c5e7a1a8cdd8a545857a8dc425">arm_compute::graph::GraphBuilder::add_upsample_node</a></div><div class="ttdeci">static NodeID add_upsample_node(Graph &g, NodeParams params, NodeIdxPair input, Size2D info, InterpolationPolicy upsampling_policy)</div><div class="ttdoc">Adds an upsample layer to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00586">GraphBuilder.cpp:586</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml">arm_compute::graph::BoundingBoxTransformLayerNode</a></div><div class="ttdoc">Bounding Box Transform Layer node. </div><div class="ttdef"><b>Definition:</b> <a href="_bounding_box_transform_layer_node_8h_source.xhtml#l00035">BoundingBoxTransformLayerNode.h:35</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a65107cd0cd29562a65d5db3233ff1bcd"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a65107cd0cd29562a65d5db3233ff1bcd">arm_compute::graph::GraphBuilder::add_depthwise_convolution_node</a></div><div class="ttdeci">static NodeID add_depthwise_convolution_node(Graph &g, NodeParams params, NodeIdxPair input, Size2D kernel_spatial_extend, PadStrideInfo conv_info, DepthwiseConvolutionMethod method=DepthwiseConvolutionMethod::Default, ITensorAccessorUPtr weights_accessor=nullptr, ITensorAccessorUPtr bias_accessor=nullptr, const QuantizationInfo quant_info=QuantizationInfo())</div><div class="ttdoc">Adds a depth-wise convolution layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00313">GraphBuilder.cpp:313</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::Format::S32</a></div><div class="ttdoc">1 channel, 1 S32 per channel </div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_convolution_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml">arm_compute::graph::ConvolutionLayerNode</a></div><div class="ttdoc">Convolution Layer node. </div><div class="ttdef"><b>Definition:</b> <a href="_convolution_layer_node_8h_source.xhtml#l00034">ConvolutionLayerNode.h:34</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1graph_1_1_node_idx_pair_xhtml_a3f42f10d93f6edb91d7d3f6edad25921"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">arm_compute::graph::NodeIdxPair::index</a></div><div class="ttdeci">size_t index</div><div class="ttdoc">Index. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00177">Types.h:177</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_fully_connected_layer_node_xhtml_a634ff2f1f48c7b5eeefcdb619cca9ade"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a634ff2f1f48c7b5eeefcdb619cca9ade">arm_compute::graph::FullyConnectedLayerNode::compute_weights_descriptor</a></div><div class="ttdeci">static TensorDescriptor compute_weights_descriptor(const TensorDescriptor &input_descriptor, unsigned int num_outputs, FullyConnectedLayerInfo fc_info=FullyConnectedLayerInfo(), QuantizationInfo weights_quant_info=QuantizationInfo())</div><div class="ttdoc">Computes weights descriptor. </div><div class="ttdef"><b>Definition:</b> <a href="src_2graph_2nodes_2_fully_connected_layer_8cpp_source.xhtml#l00041">FullyConnectedLayer.cpp:41</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a193c384a821bc30573b13975eccbe58a"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a193c384a821bc30573b13975eccbe58a">arm_compute::graph::GraphBuilder::add_elementwise_node</a></div><div class="ttdeci">static NodeID add_elementwise_node(Graph &g, NodeParams params, NodeIdxPair input0, NodeIdxPair input1, EltwiseOperation operation)</div><div class="ttdoc">Adds an element-wise layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00371">GraphBuilder.cpp:371</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_graph_builder_xhtml_a9d0c83a96ca66565407885ff41214665"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a9d0c83a96ca66565407885ff41214665">arm_compute::graph::GraphBuilder::add_reorg_node</a></div><div class="ttdeci">static NodeID add_reorg_node(Graph &g, NodeParams params, NodeIdxPair input, int stride)</div><div class="ttdoc">Adds a reorg layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00512">GraphBuilder.cpp:512</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_prior_box_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml">arm_compute::graph::PriorBoxLayerNode</a></div><div class="ttdoc">PriorBox Layer node. </div><div class="ttdef"><b>Definition:</b> <a href="_prior_box_layer_node_8h_source.xhtml#l00034">PriorBoxLayerNode.h:34</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#l00111">Types.h:111</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_coordinates_xhtml"><div class="ttname"><a href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a></div><div class="ttdoc">Coordinates of an item. </div><div class="ttdef"><b>Definition:</b> <a href="_coordinates_8h_source.xhtml#l00037">Coordinates.h:37</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a1bdbfd685e3b270aa4e80ddd655de692"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a1bdbfd685e3b270aa4e80ddd655de692">arm_compute::graph::GraphBuilder::add_deconvolution_node</a></div><div class="ttdeci">static NodeID add_deconvolution_node(Graph &g, NodeParams params, NodeIdxPair input, Size2D kernel_spatial_extend, unsigned int depth, PadStrideInfo deconv_info, Size2D inner_border, ITensorAccessorUPtr weights_accessor=nullptr, ITensorAccessorUPtr bias_accessor=nullptr)</div><div class="ttdoc">Adds a deconvolution layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00246">GraphBuilder.cpp:246</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a1461a28935fa52d8d82075f8dda811e9"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a1461a28935fa52d8d82075f8dda811e9">arm_compute::graph::GraphBuilder::add_activation_node</a></div><div class="ttdeci">static NodeID add_activation_node(Graph &g, NodeParams params, NodeIdxPair input, ActivationLayerInfo act_info)</div><div class="ttdoc">Adds an activation layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00114">GraphBuilder.cpp:114</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_output_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_output_node.xhtml">arm_compute::graph::OutputNode</a></div><div class="ttdoc">Output Layer node. </div><div class="ttdef"><b>Definition:</b> <a href="_output_node_8h_source.xhtml#l00034">OutputNode.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a19497828e303f0b26d0e58f6f9d0ca24"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a19497828e303f0b26d0e58f6f9d0ca24">arm_compute::graph::GraphBuilder::add_priorbox_node</a></div><div class="ttdeci">static NodeID add_priorbox_node(Graph &g, NodeParams params, NodeIdxPair input0, NodeIdxPair input1, PriorBoxLayerInfo prior_info)</div><div class="ttdoc">Adds a priorbox layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00497">GraphBuilder.cpp:497</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_aeeebbfe02ab3fe0320a82d6c3413eeeb"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#aeeebbfe02ab3fe0320a82d6c3413eeeb">arm_compute::graph::GraphBuilder::add_roi_align_node</a></div><div class="ttdeci">static NodeID add_roi_align_node(Graph &g, NodeParams params, NodeIdxPair input, NodeIdxPair rois, ROIPoolingLayerInfo pool_info)</div><div class="ttdoc">Adds a ROI align layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00528">GraphBuilder.cpp:528</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_prior_box_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_prior_box_layer_info.xhtml">arm_compute::PriorBoxLayerInfo</a></div><div class="ttdoc">PriorBox layer info. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00834">Types.h:834</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_aa12973876c037bddff8e9ece94aca0e4aec211f7c20af43e742bf2570c3cb84f9"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4aec211f7c20af43e742bf2570c3cb84f9">arm_compute::graph::EltwiseOperation::Add</a></div><div class="ttdoc">Arithmetic addition. </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#l00685">Types.h:685</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_concatenate_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_concatenate_layer_node.xhtml">arm_compute::graph::ConcatenateLayerNode</a></div><div class="ttdoc">Concatenation Layer node. </div><div class="ttdef"><b>Definition:</b> <a href="_concatenate_layer_node_8h_source.xhtml#l00034">ConcatenateLayerNode.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a74e6b1e9d4924f2fb12baed6a432d3a5"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">arm_compute::graph::INode::outputs</a></div><div class="ttdeci">const std::vector< TensorID > & outputs() const</div><div class="ttdoc">Returns outputs of the node. </div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00122">INode.cpp:122</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_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="classarm__compute_1_1_bounding_box_transform_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_bounding_box_transform_info.xhtml">arm_compute::BoundingBoxTransformInfo</a></div><div class="ttdoc">Bounding Box Transform information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01216">Types.h:1216</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a3484452057c88a68b9242816b50a0687"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a3484452057c88a68b9242816b50a0687">arm_compute::graph::GraphBuilder::add_dummy_node</a></div><div class="ttdeci">static NodeID add_dummy_node(Graph &g, NodeParams params, NodeIdxPair input, TensorShape shape)</div><div class="ttdoc">Adds a Dummy node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00366">GraphBuilder.cpp:366</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acbf8f8a6dd185de04c1981c57a8963cf"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acbf8f8a6dd185de04c1981c57a8963cf">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#l00694">Winograd.cpp:694</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="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a2bf294b4d12b6430e4e6b6ba8db8273b"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a2bf294b4d12b6430e4e6b6ba8db8273b">arm_compute::graph::GraphBuilder::add_normalize_planar_yuv_node</a></div><div class="ttdeci">static NodeID add_normalize_planar_yuv_node(Graph &g, NodeParams params, NodeIdxPair input, ITensorAccessorUPtr mean_accessor=nullptr, ITensorAccessorUPtr std_accessor=nullptr)</div><div class="ttdoc">Adds a normalize planar YUV layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00456">GraphBuilder.cpp:456</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1graph_1_1_node_idx_pair_xhtml"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">arm_compute::graph::NodeIdxPair</a></div><div class="ttdoc">NodeID-index struct. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00174">Types.h:174</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#l00119">Types.h:119</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a14f46283f316e7f0fad301d5c1507e9f"><div class="ttname"><a href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">arm_compute::is_data_type_quantized_asymmetric</a></div><div class="ttdeci">bool is_data_type_quantized_asymmetric(DataType dt)</div><div class="ttdoc">Check if a given data type is of asymmetric quantized type. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l00996">Utils.h:996</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_input_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_input_node.xhtml">arm_compute::graph::InputNode</a></div><div class="ttdoc">Input Layer node. </div><div class="ttdef"><b>Definition:</b> <a href="_input_node_8h_source.xhtml#l00034">InputNode.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a19b8128b8e78988834c00c4e9cd97c3e"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a19b8128b8e78988834c00c4e9cd97c3e">arm_compute::graph::GraphBuilder::add_channel_shuffle_node</a></div><div class="ttdeci">static NodeID add_channel_shuffle_node(Graph &g, NodeParams params, NodeIdxPair input, unsigned int num_groups)</div><div class="ttdoc">Adds an channel shuffle layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00185">GraphBuilder.cpp:185</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_strides_xhtml"><div class="ttname"><a href="classarm__compute_1_1_strides.xhtml">arm_compute::Strides</a></div><div class="ttdoc">Strides of an item in bytes. </div><div class="ttdef"><b>Definition:</b> <a href="_strides_8h_source.xhtml#l00037">Strides.h:37</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_r_o_i_align_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml">arm_compute::graph::ROIAlignLayerNode</a></div><div class="ttdoc">ROI Align node. </div><div class="ttdef"><b>Definition:</b> <a href="_r_o_i_align_layer_node_8h_source.xhtml#l00036">ROIAlignLayerNode.h:36</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_ac65ca2e1e1afc1b844be5d807c911101"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ac65ca2e1e1afc1b844be5d807c911101">arm_compute::graph::GraphBuilder::add_input_node</a></div><div class="ttdeci">static NodeID add_input_node(Graph &g, NodeParams params, TensorDescriptor desc, ITensorAccessorUPtr accessor=nullptr)</div><div class="ttdoc">Adds an input layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00094">GraphBuilder.cpp:94</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#l00050">Graph.h:50</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a8b01e9f9b9a47d245bc70c3887598cca"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a8b01e9f9b9a47d245bc70c3887598cca">arm_compute::graph::GraphBuilder::add_fully_connected_layer</a></div><div class="ttdeci">static NodeID add_fully_connected_layer(Graph &g, NodeParams params, NodeIdxPair input, unsigned int num_outputs, ITensorAccessorUPtr weights_accessor=nullptr, ITensorAccessorUPtr bias_accessor=nullptr, const FullyConnectedLayerInfo fc_info=FullyConnectedLayerInfo(), const QuantizationInfo weights_quant_info=QuantizationInfo(), const QuantizationInfo out_quant_info=QuantizationInfo())</div><div class="ttdoc">Adds a fully connected layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00391">GraphBuilder.cpp:391</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#l00060">Types.h:60</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_af06fa4df1027c97658c0c26570b2bdb5"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#af06fa4df1027c97658c0c26570b2bdb5">arm_compute::graph::GraphBuilder::add_softmax_node</a></div><div class="ttdeci">static NodeID add_softmax_node(Graph &g, NodeParams params, NodeIdxPair input, float beta=1.f)</div><div class="ttdoc">Adds a softmax node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00571">GraphBuilder.cpp:571</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_size2_d_xhtml_a02bed8590a9ddf520e58a060059518ec"><div class="ttname"><a href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">arm_compute::Size2D::width</a></div><div class="ttdeci">size_t width</div><div class="ttdoc">Width of the image region or rectangle. </div><div class="ttdef"><b>Definition:</b> <a href="_size2_d_8h_source.xhtml#l00092">Size2D.h:92</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_const_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_const_node.xhtml">arm_compute::graph::ConstNode</a></div><div class="ttdoc">Const node. </div><div class="ttdef"><b>Definition:</b> <a href="_const_node_8h_source.xhtml#l00034">ConstNode.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_r_o_i_pooling_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_r_o_i_pooling_layer_info.xhtml">arm_compute::ROIPoolingLayerInfo</a></div><div class="ttdoc">ROI Pooling Layer Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01042">Types.h:1042</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#l00067">Types.h:67</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="classarm__compute_1_1_size2_d_xhtml"><div class="ttname"><a href="classarm__compute_1_1_size2_d.xhtml">arm_compute::Size2D</a></div><div class="ttdoc">Class for specifying the size of an image or rectangle. </div><div class="ttdef"><b>Definition:</b> <a href="_size2_d_8h_source.xhtml#l00034">Size2D.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a7396e101536756a6aaf05f043a6f0b13"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a7396e101536756a6aaf05f043a6f0b13">arm_compute::graph::GraphBuilder::add_scale_layer</a></div><div class="ttdeci">static NodeID add_scale_layer(Graph &g, const NodeParams &params, NodeIdxPair input, ITensorAccessorUPtr mul_accessor=nullptr, ITensorAccessorUPtr add_accessor=nullptr)</div><div class="ttdoc">Adds a scale layer node to the graph This layer computes a product of the input with a scale (read fr...</div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00542">GraphBuilder.cpp:542</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#l00102">Types.h:102</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_generate_proposals_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml">arm_compute::graph::GenerateProposalsLayerNode</a></div><div class="ttdoc">Generate Proposals Layer node. </div><div class="ttdef"><b>Definition:</b> <a href="_generate_proposals_layer_node_8h_source.xhtml#l00035">GenerateProposalsLayerNode.h:35</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 & 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="classarm__compute_1_1graph_1_1_deconvolution_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_deconvolution_layer_node.xhtml">arm_compute::graph::DeconvolutionLayerNode</a></div><div class="ttdoc">Deconvolution Layer node. </div><div class="ttdef"><b>Definition:</b> <a href="_deconvolution_layer_node_8h_source.xhtml#l00034">DeconvolutionLayerNode.h:34</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_fully_connected_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml">arm_compute::graph::FullyConnectedLayerNode</a></div><div class="ttdoc">Fully Connected Layer node. </div><div class="ttdef"><b>Definition:</b> <a href="_fully_connected_layer_node_8h_source.xhtml#l00034">FullyConnectedLayerNode.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml">arm_compute::graph::DepthwiseConvolutionLayerNode</a></div><div class="ttdoc">Depthwise Convolution Layer node. </div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution_layer_node_8h_source.xhtml#l00034">DepthwiseConvolutionLayerNode.h:34</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="structarm__compute_1_1_quantization_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_quantization_info.xhtml">arm_compute::QuantizationInfo</a></div><div class="ttdoc">Quantization settings (used for QASYMM8 data type) </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00129">Types.h:129</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1_quantization_info_xhtml_a644718bb2fb240de962dc3c9a1fdf0dc"><div class="ttname"><a href="structarm__compute_1_1_quantization_info.xhtml#a644718bb2fb240de962dc3c9a1fdf0dc">arm_compute::QuantizationInfo::empty</a></div><div class="ttdeci">bool empty() const</div><div class="ttdoc">Indicates whether this QuantizationInfo has valid settings or not. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00202">Types.h:202</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_aa12973876c037bddff8e9ece94aca0e4a62b6d55816cf737bfc6f42e60df1a3f2"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4a62b6d55816cf737bfc6f42e60df1a3f2">arm_compute::graph::EltwiseOperation::Mul</a></div><div class="ttdoc">Arithmetic multiplication. </div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a639fab29a682a532ca20615210b366ad"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a639fab29a682a532ca20615210b366ad">arm_compute::graph::GraphBuilder::add_flatten_node</a></div><div class="ttdeci">static NodeID add_flatten_node(Graph &g, NodeParams params, NodeIdxPair input)</div><div class="ttdoc">Adds a flatten layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00386">GraphBuilder.cpp:386</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_aeb3adf92ce5e694dc98780b4c72c0121"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#aeb3adf92ce5e694dc98780b4c72c0121">arm_compute::graph::GraphBuilder::add_const_node</a></div><div class="ttdeci">static NodeID add_const_node(Graph &g, NodeParams params, TensorDescriptor desc, ITensorAccessorUPtr accessor=nullptr)</div><div class="ttdoc">Adds a Const node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00086">GraphBuilder.cpp:86</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_ab52fa970654d32e0c0621cf718a6861f"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ab52fa970654d32e0c0621cf718a6861f">arm_compute::graph::GraphBuilder::add_pooling_node</a></div><div class="ttdeci">static NodeID add_pooling_node(Graph &g, NodeParams params, NodeIdxPair input, PoolingLayerInfo pool_info)</div><div class="ttdoc">Adds a pooling layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00492">GraphBuilder.cpp:492</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a735a025fce26c1ef147b54426df18181"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">arm_compute::test::validation::padding</a></div><div class="ttdeci">const PaddingSize padding</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_arithmetic_division_8cpp_source.xhtml#l00111">ArithmeticDivision.cpp:111</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_pooling_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pooling_layer_info.xhtml">arm_compute::PoolingLayerInfo</a></div><div class="ttdoc">Pooling Layer Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00957">Types.h:957</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdoc">[DataLayout enum definition] </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00111">Types.h:111</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a0db6223a8a4c44a263fbc5e9ec039e18"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a0db6223a8a4c44a263fbc5e9ec039e18">arm_compute::graph::GraphBuilder::add_output_node</a></div><div class="ttdeci">static NodeID add_output_node(Graph &g, NodeParams params, NodeIdxPair input, ITensorAccessorUPtr accessor=nullptr)</div><div class="ttdoc">Adds an output layer node to the graph. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00102">GraphBuilder.cpp:102</a></div></div> |
| </div><!-- fragment --></div><!-- contents --> |
| </div><!-- doc-content --> |
| <!-- start footer part --> |
| <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> |
| <ul> |
| <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_d182250f0c231765fc862e69db210731.xhtml">graph</a></li><li class="navelem"><a class="el" href="_graph_builder_8cpp.xhtml">GraphBuilder.cpp</a></li> |
| <li class="footer">Generated on Thu Nov 22 2018 11:57:40 for Compute Library by |
| <a href="http://www.doxygen.org/index.html"> |
| <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> |
| </ul> |
| </div> |
| </body> |
| </html> |
