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| <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) 2018-2020 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"> 33</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> {</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">namespace </span>graph</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> {</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> {</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> check_nodeidx_pair(<span class="keyword">const</span> NodeIdxPair &pair, <span class="keyword">const</span> Graph &g)</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(pair);</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(g);</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>((pair.node_id >= g.nodes().size()) || (g.node((pair).node_id) == <span class="keyword">nullptr</span>) || (pair.index >= g.node(pair.node_id)->num_outputs()));</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> }</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</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="l00047"></a><span class="lineno"> 47</span> {</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  INode *node = g.node(nid);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(!node);</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>  node->set_common_node_parameters(params);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">return</span> Status{};</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> }</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> </div><div class="line"><a name="l00056"></a><span class="lineno"> 56</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="l00057"></a><span class="lineno"> 57</span> {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  INode *node = g.node(nid);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(!node);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  Tensor *tensor = is_output ? node->output(idx) : node->input(idx);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(!tensor);</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>  tensor->set_accessor(std::move(accessor));</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">return</span> Status{};</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> }</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</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, <span class="keyword">const</span> TensorDescriptor &desc, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> accessor)</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  params.name = params.name.empty() ? <span class="stringliteral">""</span> : params.name + name;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keyword">auto</span> nid = <a class="code" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#aa7b1756a674d54d96df4e02a31169082">GraphBuilder::add_const_node</a>(g, params, desc, std::move(accessor));</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  set_node_params(g, nid, params);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordflow">return</span> nid;</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> </div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="keyword">template</span> <<span class="keyword">typename</span> NT, <span class="keyword">typename</span>... Args></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> create_simple_single_input_output_node(Graph &g, NodeParams &params, NodeIdxPair <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, Args &&... <a class="code" href="namespace_gemm_tuner.xhtml#a8187411843a6284ffb964ef3fb9fcab3">args</a>)</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> {</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  check_nodeidx_pair(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, g);</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>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> nid = g.add_node<NT>(std::forward<Args>(<a class="code" href="namespace_gemm_tuner.xhtml#a8187411843a6284ffb964ef3fb9fcab3">args</a>)...);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  g.add_connection(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.index, nid, 0);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  set_node_params(g, nid, params);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">return</span> nid;</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> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="keyword">template</span> <<span class="keyword">typename</span> NT, <span class="keyword">typename</span>... Args></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> create_simple_multiple_input_single_output_node(Graph &g, NodeParams &params, <span class="keyword">const</span> std::vector<NodeIdxPair> &inputs, Args &&... <a class="code" href="namespace_gemm_tuner.xhtml#a8187411843a6284ffb964ef3fb9fcab3">args</a>)</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> {</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(inputs.size() == 0);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> nid = g.add_node<NT>(std::forward<Args>(<a class="code" href="namespace_gemm_tuner.xhtml#a8187411843a6284ffb964ef3fb9fcab3">args</a>)...);</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="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">for</span>(<span class="keyword">const</span> <span class="keyword">auto</span> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a> : inputs)</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  {</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  check_nodeidx_pair(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, g);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  g.add_connection(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.index, nid, i++);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  }</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  set_node_params(g, nid, params);</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>  <span class="keywordflow">return</span> nid;</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> } <span class="comment">// namespace</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00108"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#aa7b1756a674d54d96df4e02a31169082"> 108</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#aa7b1756a674d54d96df4e02a31169082">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, <span class="keyword">const</span> <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="l00109"></a><span class="lineno"> 109</span> {</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</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="l00111"></a><span class="lineno"> 111</span>  set_node_params(g, nid, params);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  set_accessor_on_node(g, nid, <span class="keyword">true</span>, 0, std::move(accessor));</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordflow">return</span> nid;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> }</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a60f996c5c698c7b9cbd82ee414b41d2e"> 116</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#a60f996c5c698c7b9cbd82ee414b41d2e">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, <span class="keyword">const</span> <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="l00117"></a><span class="lineno"> 117</span> {</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</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="l00119"></a><span class="lineno"> 119</span>  set_node_params(g, nid, params);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  set_accessor_on_node(g, nid, <span class="keyword">true</span>, 0, std::move(accessor));</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">return</span> nid;</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> </div><div class="line"><a name="l00124"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a0db6223a8a4c44a263fbc5e9ec039e18"> 124</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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> accessor)</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> {</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  check_nodeidx_pair(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, g);</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>  <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="l00129"></a><span class="lineno"> 129</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.index, nid, 0);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  set_node_params(g, nid, params);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  set_accessor_on_node(g, nid, <span class="keyword">false</span>, 0, std::move(accessor));</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">return</span> nid;</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> </div><div class="line"><a name="l00136"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a5cd4c7258f59e2c5d03ed8ae5849a650"> 136</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#a5cd4c7258f59e2c5d03ed8ae5849a650">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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &out_quant_info)</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<ActivationLayerNode>(g, params, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>, out_quant_info);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> }</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a09979aca2a60b08c6cdbe6aebb942e53"> 142</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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1quantization.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</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="l00144"></a><span class="lineno"> 144</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="l00145"></a><span class="lineno"> 145</span> {</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  check_nodeidx_pair(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, g);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordtype">bool</span> has_beta = (beta_accessor != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordtype">bool</span> has_gamma = (gamma_accessor != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="comment">// Get input tensor descriptor</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</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>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id)-><a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">outputs</a>()[0]);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="comment">// Calculate Common Descriptor</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</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="l00156"></a><span class="lineno"> 156</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="l00157"></a><span class="lineno"> 157</span> </div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="comment">// Create mean and var nodes</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</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="l00160"></a><span class="lineno"> 160</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="l00161"></a><span class="lineno"> 161</span> </div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="comment">// Create beta node</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</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="l00164"></a><span class="lineno"> 164</span>  <span class="keywordflow">if</span>(has_beta)</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>  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="l00167"></a><span class="lineno"> 167</span>  }</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> </div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="comment">// Create gamma node</span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</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="l00171"></a><span class="lineno"> 171</span>  <span class="keywordflow">if</span>(has_gamma)</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>  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="l00174"></a><span class="lineno"> 174</span>  }</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="comment">// Create batch normalization node and add connections</span></div><div class="line"><a name="l00177"></a><span class="lineno"> 177</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="namespacearm__compute_1_1quantization.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>);</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>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.index, batch_norm_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>(mean_nid, 0, batch_norm_nid, 1);</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</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="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">if</span>(has_beta)</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  {</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  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="l00184"></a><span class="lineno"> 184</span>  }</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordflow">if</span>(has_gamma)</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>  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="l00188"></a><span class="lineno"> 188</span>  }</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  set_node_params(g, batch_norm_nid, params);</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> </div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordflow">return</span> batch_norm_nid;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> }</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> </div><div class="line"><a name="l00194"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a9e02d090f0b711a7adf97367606e6857"> 194</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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <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#a4f4125dba5283887b34f889b1c615c0c">info</a>)</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> {</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  check_nodeidx_pair(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, g);</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  check_nodeidx_pair(deltas, g);</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> </div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <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#a4f4125dba5283887b34f889b1c615c0c">info</a>);</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>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.index, nid, 0);</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</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="l00203"></a><span class="lineno"> 203</span> </div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  set_node_params(g, nid, params);</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordflow">return</span> nid;</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> }</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> </div><div class="line"><a name="l00208"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a19b8128b8e78988834c00c4e9cd97c3e"> 208</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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>)</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> {</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<ChannelShuffleLayerNode>(g, params, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>);</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> }</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div><div class="line"><a name="l00213"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#afbb302ca2e2f509f976568ba0928c2ce"> 213</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#afbb302ca2e2f509f976568ba0928c2ce">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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</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#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>,</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>, <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="l00216"></a><span class="lineno"> 216</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="l00217"></a><span class="lineno"> 217</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &weights_quant_info,</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &out_quant_info)</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>  check_nodeidx_pair(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, g);</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(depth == 0);</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</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="l00223"></a><span class="lineno"> 223</span> </div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a> = (bias_accessor != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="comment">// Get input tensor descriptor</span></div><div class="line"><a name="l00227"></a><span class="lineno"> 227</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>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id)-><a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">outputs</a>()[0]);</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> input_data_layout = input_tensor_desc.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a4b52bb397c7296e8efe864967b44f97e">layout</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>  <span class="comment">// Create weights node</span></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</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="l00232"></a><span class="lineno"> 232</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#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(input_data_layout, <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="l00233"></a><span class="lineno"> 233</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#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(input_data_layout, <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="l00234"></a><span class="lineno"> 234</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#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(input_data_layout, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>),</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</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>) / <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>);</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</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#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(input_data_layout, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a628bcf7e10fc1c2a984f379a1ec3393a">DataLayoutDimension::BATCHES</a>), depth);</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordflow">if</span>(!weights_quant_info.<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a644718bb2fb240de962dc3c9a1fdf0dc">empty</a>())</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>  w_desc.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a> = weights_quant_info;</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> </div><div class="line"><a name="l00242"></a><span class="lineno"> 242</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="l00243"></a><span class="lineno"> 243</span> </div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="comment">// Create bias nodes</span></div><div class="line"><a name="l00245"></a><span class="lineno"> 245</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="l00246"></a><span class="lineno"> 246</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a>)</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  {</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</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="l00249"></a><span class="lineno"> 249</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="l00250"></a><span class="lineno"> 250</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="l00251"></a><span class="lineno"> 251</span>  {</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</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="l00253"></a><span class="lineno"> 253</span>  }</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</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="l00255"></a><span class="lineno"> 255</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">// Create convolution node and connect</span></div><div class="line"><a name="l00258"></a><span class="lineno"> 258</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#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>, method, fast_math_hint, out_quant_info);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.index, conv_nid, 0);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</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="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a>)</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  {</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</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="l00264"></a><span class="lineno"> 264</span>  }</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  set_node_params(g, conv_nid, params);</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> </div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">return</span> conv_nid;</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> }</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> </div><div class="line"><a name="l00270"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a1735fd3d9b774a2c92ca1619886d2ede"> 270</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#a1735fd3d9b774a2c92ca1619886d2ede">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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>,</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</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="l00272"></a><span class="lineno"> 272</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> weights_accessor,</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> bias_accessor)</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> {</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  check_nodeidx_pair(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, g);</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(depth == 0);</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</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="l00278"></a><span class="lineno"> 278</span> </div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a> = (bias_accessor != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> </div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="comment">// Get input tensor descriptor</span></div><div class="line"><a name="l00282"></a><span class="lineno"> 282</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>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id)-><a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">outputs</a>()[0]);</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> input_data_layout = input_tensor_desc.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a4b52bb397c7296e8efe864967b44f97e">layout</a>;</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> </div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="comment">// Create weights node</span></div><div class="line"><a name="l00286"></a><span class="lineno"> 286</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="l00287"></a><span class="lineno"> 287</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#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(input_data_layout, <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="l00288"></a><span class="lineno"> 288</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#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(input_data_layout, <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="l00289"></a><span class="lineno"> 289</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#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(input_data_layout, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>),</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</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="l00291"></a><span class="lineno"> 291</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#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(input_data_layout, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a628bcf7e10fc1c2a984f379a1ec3393a">DataLayoutDimension::BATCHES</a>), depth);</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>  <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="l00294"></a><span class="lineno"> 294</span> </div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="comment">// Create bias nodes</span></div><div class="line"><a name="l00296"></a><span class="lineno"> 296</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="l00297"></a><span class="lineno"> 297</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a>)</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  {</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</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="l00300"></a><span class="lineno"> 300</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="l00301"></a><span class="lineno"> 301</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="l00302"></a><span class="lineno"> 302</span>  {</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</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="l00304"></a><span class="lineno"> 304</span>  }</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</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="l00306"></a><span class="lineno"> 306</span>  }</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>  <span class="comment">// Create convolution node and connect</span></div><div class="line"><a name="l00309"></a><span class="lineno"> 309</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);</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.index, deconv_nid, 0);</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</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="l00312"></a><span class="lineno"> 312</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a>)</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  {</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</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="l00315"></a><span class="lineno"> 315</span>  }</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  set_node_params(g, deconv_nid, params);</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span> </div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keywordflow">return</span> deconv_nid;</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> </div><div class="line"><a name="l00321"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a667742f5b5d3574fb50c8180609efac4"> 321</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#a667742f5b5d3574fb50c8180609efac4">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, <span class="keyword">const</span> std::vector<NodeIdxPair> &inputs, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1graph_1_1descriptors_1_1_concat_layer_descriptor.xhtml">descriptors::ConcatLayerDescriptor</a> &concat_descriptor)</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span> {</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keywordflow">return</span> create_simple_multiple_input_single_output_node<ConcatenateLayerNode>(g, params, inputs, inputs.size(), concat_descriptor);</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> </div><div class="line"><a name="l00326"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a9c59d071c7e6c2574e1d5587ba50949c"> 326</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#a9c59d071c7e6c2574e1d5587ba50949c">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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> kernel_spatial_extend,</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, <span class="keywordtype">int</span> depth_multiplier, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">DepthwiseConvolutionMethod</a> method,</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</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="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &quant_info, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &out_quant_info)</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> {</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  check_nodeidx_pair(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, g);</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</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="l00332"></a><span class="lineno"> 332</span> </div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a> = (bias_accessor != <span class="keyword">nullptr</span>);</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>  <span class="comment">// Get input tensor descriptor</span></div><div class="line"><a name="l00336"></a><span class="lineno"> 336</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>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id)-><a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">outputs</a>()[0]);</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> input_data_layout = input_tensor_desc.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a4b52bb397c7296e8efe864967b44f97e">layout</a>;</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span> </div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="comment">// Create weights node</span></div><div class="line"><a name="l00340"></a><span class="lineno"> 340</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="l00341"></a><span class="lineno"> 341</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#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(input_data_layout, <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="l00342"></a><span class="lineno"> 342</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#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(input_data_layout, <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="l00343"></a><span class="lineno"> 343</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#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(input_data_layout, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>),</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</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>) * depth_multiplier);</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keywordflow">if</span>(!quant_info.<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a644718bb2fb240de962dc3c9a1fdf0dc">empty</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>  w_desc.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a> = quant_info;</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>  <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="l00351"></a><span class="lineno"> 351</span> </div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="comment">// Create bias nodes</span></div><div class="line"><a name="l00353"></a><span class="lineno"> 353</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="l00354"></a><span class="lineno"> 354</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a>)</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  {</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</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="l00357"></a><span class="lineno"> 357</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>) * depth_multiplier);</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>  <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="l00360"></a><span class="lineno"> 360</span>  {</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</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="l00362"></a><span class="lineno"> 362</span>  }</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> </div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  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="l00365"></a><span class="lineno"> 365</span>  }</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span> </div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="comment">// Create convolution node and connect</span></div><div class="line"><a name="l00368"></a><span class="lineno"> 368</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#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, depth_multiplier, method, out_quant_info);</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.index, conv_nid, 0);</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</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="l00371"></a><span class="lineno"> 371</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a>)</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  {</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</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="l00374"></a><span class="lineno"> 374</span>  }</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  set_node_params(g, conv_nid, params);</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="keywordflow">return</span> conv_nid;</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span> }</div><div class="line"><a name="l00379"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a50410fc54c8540887d600849043327d5"> 379</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#a50410fc54c8540887d600849043327d5">GraphBuilder::add_dequantization_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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>)</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>  <span class="keywordflow">return</span> create_simple_single_input_output_node<DequantizationLayerNode>(g, params, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>);</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> </div><div class="line"><a name="l00384"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#aff2fa3e8e802bcefd6fdd5780aa096e1"> 384</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#aff2fa3e8e802bcefd6fdd5780aa096e1">GraphBuilder::add_detection_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_loc, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input_conf, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input_priorbox, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_detection_output_layer_info.xhtml">DetectionOutputLayerInfo</a> &detect_info)</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span> {</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  check_nodeidx_pair(input_loc, g);</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  check_nodeidx_pair(input_conf, g);</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  check_nodeidx_pair(input_priorbox, g);</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> </div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <span class="comment">// Create detection_output node and connect</span></div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> detect_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_detection_output_layer_node.xhtml">DetectionOutputLayerNode</a>>(detect_info);</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(input_loc.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, input_loc.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, detect_nid, 0);</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(input_conf.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, input_conf.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, detect_nid, 1);</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(input_priorbox.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, input_priorbox.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, detect_nid, 2);</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>  set_node_params(g, detect_nid, params);</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span> </div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keywordflow">return</span> detect_nid;</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span> }</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span> </div><div class="line"><a name="l00401"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a17fe8b7f4dbd6cf0747ab9d328a56f88"> 401</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#a17fe8b7f4dbd6cf0747ab9d328a56f88">GraphBuilder::add_detection_post_process_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_box_encoding, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> input_class_prediction, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_detection_post_process_layer_info.xhtml">DetectionPostProcessLayerInfo</a> &detect_info,</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a41c3f59161734b8492782359f583b676">ITensorAccessorUPtr</a> anchors_accessor, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &anchor_quant_info)</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>  check_nodeidx_pair(input_box_encoding, g);</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  check_nodeidx_pair(input_class_prediction, g);</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span> </div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="comment">// Get input tensor descriptor</span></div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> input_box_encoding_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_box_encoding.<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="l00409"></a><span class="lineno"> 409</span> </div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="comment">// Calculate anchor descriptor</span></div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> anchor_desc = input_box_encoding_tensor_desc;</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keywordflow">if</span>(!anchor_quant_info.<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a644718bb2fb240de962dc3c9a1fdf0dc">empty</a>())</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  {</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  anchor_desc.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a> = anchor_quant_info;</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> </div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="comment">// Create anchors nodes</span></div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="keyword">auto</span> anchors_nid = add_const_node_with_name(g, params, <span class="stringliteral">"Anchors"</span>, anchor_desc, std::move(anchors_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>  <span class="comment">// Create detection_output node and connect</span></div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> detect_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_detection_post_process_layer_node.xhtml">DetectionPostProcessLayerNode</a>>(detect_info);</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(input_box_encoding.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, input_box_encoding.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, detect_nid, 0);</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_class_prediction.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a4d1bd9a71b406746667977841561b0aa">node_id</a>, input_class_prediction.<a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml#a3f42f10d93f6edb91d7d3f6edad25921">index</a>, detect_nid, 1);</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>(anchors_nid, 0, detect_nid, 2);</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span> </div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  set_node_params(g, detect_nid, params);</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span> </div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keywordflow">return</span> detect_nid;</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> </div><div class="line"><a name="l00431"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a3484452057c88a68b9242816b50a0687"> 431</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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <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="l00432"></a><span class="lineno"> 432</span> {</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<DummyNode>(g, params, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>);</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span> }</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span> </div><div class="line"><a name="l00436"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a193c384a821bc30573b13975eccbe58a"> 436</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="l00437"></a><span class="lineno"> 437</span> {</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  check_nodeidx_pair(input0, g);</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  check_nodeidx_pair(input1, 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_eltwise_layer_node.xhtml">EltwiseLayerNode</a>>(operation);</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>(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="l00444"></a><span class="lineno"> 444</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="l00445"></a><span class="lineno"> 445</span> </div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  set_node_params(g, nid, params);</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span> </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#a639fab29a682a532ca20615210b366ad"> 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#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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>)</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<FlattenLayerNode>(g, params, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>);</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#aae4c638ec880f2bd9ff29e072e8f34e5"> 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#aae4c638ec880f2bd9ff29e072e8f34e5">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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_outputs,</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> weights_nid, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> bias_nid,</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_fully_connected_layer_info.xhtml">FullyConnectedLayerInfo</a> fc_info, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &out_quant_info)</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span> {</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  check_nodeidx_pair(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, g);</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(num_outputs == 0);</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(weights_nid == <a class="code" href="namespacearm__compute_1_1graph.xhtml#aad3f5296ec88b9d552c109b04b89ad9f">EmptyNodeID</a>);</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="keyword">const</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a> = (bias_nid != <a class="code" href="namespacearm__compute_1_1graph.xhtml#aad3f5296ec88b9d552c109b04b89ad9f">EmptyNodeID</a>);</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span> </div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <span class="comment">// Get input tensor descriptor</span></div><div class="line"><a name="l00467"></a><span class="lineno"> 467</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>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id)-><a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">outputs</a>()[0]);</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span> </div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="comment">// Create fully connected node and connect</span></div><div class="line"><a name="l00470"></a><span class="lineno"> 470</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="l00471"></a><span class="lineno"> 471</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.index, fc_nid, 0);</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(weights_nid, 0, fc_nid, 1);</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a>)</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  {</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>(bias_nid, 0, fc_nid, 2);</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  }</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span> </div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  set_node_params(g, fc_nid, params);</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span> </div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordflow">return</span> fc_nid;</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span> }</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span> </div><div class="line"><a name="l00483"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a062b8d10479fc87e651ed240263b78df"> 483</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#aae4c638ec880f2bd9ff29e072e8f34e5">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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_outputs,</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</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="l00485"></a><span class="lineno"> 485</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="l00486"></a><span class="lineno"> 486</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &weights_quant_info, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &out_quant_info)</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span> {</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  check_nodeidx_pair(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, g);</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(num_outputs == 0);</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>  <span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a> = (bias_accessor != <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span> </div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="comment">// Get input tensor descriptor</span></div><div class="line"><a name="l00494"></a><span class="lineno"> 494</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>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id)-><a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">outputs</a>()[0]);</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>  <span class="comment">// Create weights node</span></div><div class="line"><a name="l00497"></a><span class="lineno"> 497</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#a52400aeb76f277dca0ad7df201c7a196">FullyConnectedLayerNode::compute_weights_descriptor</a>(input_tensor_desc, num_outputs, fc_info, weights_quant_info);</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</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="l00499"></a><span class="lineno"> 499</span> </div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="comment">// Create bias nodes</span></div><div class="line"><a name="l00501"></a><span class="lineno"> 501</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="l00502"></a><span class="lineno"> 502</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a>)</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  {</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</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="l00505"></a><span class="lineno"> 505</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="l00506"></a><span class="lineno"> 506</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="l00507"></a><span class="lineno"> 507</span>  {</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</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="l00509"></a><span class="lineno"> 509</span>  }</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</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="l00511"></a><span class="lineno"> 511</span>  }</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span> </div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="comment">// Create fully connected node and connect</span></div><div class="line"><a name="l00514"></a><span class="lineno"> 514</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="l00515"></a><span class="lineno"> 515</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.index, fc_nid, 0);</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</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="l00517"></a><span class="lineno"> 517</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">has_bias</a>)</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  {</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</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="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"> 522</span>  set_node_params(g, fc_nid, params);</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span> </div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keywordflow">return</span> fc_nid;</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span> }</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span> </div><div class="line"><a name="l00527"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a8965f4ef424a3b9142706cfe50b7e6cf"> 527</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#a4f4125dba5283887b34f889b1c615c0c">info</a>)</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span> {</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  check_nodeidx_pair(scores, g);</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  check_nodeidx_pair(deltas, g);</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  check_nodeidx_pair(anchors, 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_generate_proposals_layer_node.xhtml">GenerateProposalsLayerNode</a>>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>);</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>(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="l00536"></a><span class="lineno"> 536</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="l00537"></a><span class="lineno"> 537</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="l00538"></a><span class="lineno"> 538</span> </div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  set_node_params(g, nid, params);</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <span class="keywordflow">return</span> nid;</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span> }</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span> </div><div class="line"><a name="l00543"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a542464b49825a7f82b42909409405010"> 543</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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="classarm__compute_1_1_normalization_layer_info.xhtml">NormalizationLayerInfo</a> norm_info)</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span> {</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<NormalizationLayerNode>(g, params, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, norm_info);</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span> }</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span> </div><div class="line"><a name="l00548"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a2bf294b4d12b6430e4e6b6ba8db8273b"> 548</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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>,</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</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="l00550"></a><span class="lineno"> 550</span> {</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  check_nodeidx_pair(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, g);</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span> </div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="comment">// Get input tensor descriptor</span></div><div class="line"><a name="l00554"></a><span class="lineno"> 554</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>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id)-><a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">outputs</a>()[0]);</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span> </div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="comment">// Calculate Common Descriptor</span></div><div class="line"><a name="l00557"></a><span class="lineno"> 557</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="l00558"></a><span class="lineno"> 558</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="l00559"></a><span class="lineno"> 559</span> </div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <span class="comment">// Create mean and std nodes</span></div><div class="line"><a name="l00561"></a><span class="lineno"> 561</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="l00562"></a><span class="lineno"> 562</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="l00563"></a><span class="lineno"> 563</span> </div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="comment">// Create normalize planar YUV node and add connections</span></div><div class="line"><a name="l00565"></a><span class="lineno"> 565</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="l00566"></a><span class="lineno"> 566</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.index, norm_planar_yuv_nid, 0);</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</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="l00568"></a><span class="lineno"> 568</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="l00569"></a><span class="lineno"> 569</span>  set_node_params(g, norm_planar_yuv_nid, params);</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span> </div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <span class="keywordflow">return</span> norm_planar_yuv_nid;</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> </div><div class="line"><a name="l00574"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#af6679b5fdb9181104408232be9907ca4"> 574</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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <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="l00575"></a><span class="lineno"> 575</span> {</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<PadLayerNode>(g, params, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a>);</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> </div><div class="line"><a name="l00579"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ad0a6a6580be03b445d9dcc64ced5e2ef"> 579</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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <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="l00580"></a><span class="lineno"> 580</span> {</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<PermuteLayerNode>(g, params, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, perm, layout);</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> </div><div class="line"><a name="l00584"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a613c0d9db4a80d400c8dc220648d337e"> 584</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#a613c0d9db4a80d400c8dc220648d337e">GraphBuilder::add_prelu_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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="structarm__compute_1_1graph_1_1_node_idx_pair.xhtml">NodeIdxPair</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>)</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span> {</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  check_nodeidx_pair(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, g);</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  check_nodeidx_pair(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>, g);</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span> </div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">NodeID</a> prelu_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_p_relu_layer_node.xhtml">PReluLayerNode</a>>();</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.index, prelu_nid, 0);</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>.node_id, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>.index, prelu_nid, 1);</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>  set_node_params(g, prelu_nid, params);</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="keywordflow">return</span> prelu_nid;</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span> }</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span> </div><div class="line"><a name="l00598"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ab52fa970654d32e0c0621cf718a6861f"> 598</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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="structarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a> pool_info)</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span> {</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<PoolingLayerNode>(g, params, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, pool_info);</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span> }</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span> </div><div class="line"><a name="l00603"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a69a669c24a8f0db98f3f980e161ab890"> 603</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#a69a669c24a8f0db98f3f980e161ab890">GraphBuilder::add_print_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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, std::ostream &stream, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_i_o_format_info.xhtml">IOFormatInfo</a> &format_info, <span class="keyword">const</span> std::function<<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *)> transform)</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span> {</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<PrintLayerNode>(g, params, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, stream, format_info, transform);</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span> }</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span> </div><div class="line"><a name="l00608"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a6dc61dbaf7ce5612ac8d1566c1c222e3"> 608</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#a6dc61dbaf7ce5612ac8d1566c1c222e3">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, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_prior_box_layer_info.xhtml">PriorBoxLayerInfo</a> &prior_info)</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span> {</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  check_nodeidx_pair(input0, g);</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  check_nodeidx_pair(input1, g);</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span> </div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <span class="comment">// Create priorbox node and connect</span></div><div class="line"><a name="l00614"></a><span class="lineno"> 614</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="l00615"></a><span class="lineno"> 615</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="l00616"></a><span class="lineno"> 616</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="l00617"></a><span class="lineno"> 617</span> </div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  set_node_params(g, prior_nid, params);</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span> </div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <span class="keywordflow">return</span> prior_nid;</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span> }</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span> </div><div class="line"><a name="l00623"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a44fe1be81ac7e5aadbc73f05bb95aae1"> 623</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#a44fe1be81ac7e5aadbc73f05bb95aae1">GraphBuilder::add_quantization_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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &out_quant_info)</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span> {</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<QuantizationLayerNode>(g, params, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, out_quant_info);</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span> }</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span> </div><div class="line"><a name="l00628"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a9d0c83a96ca66565407885ff41214665"> 628</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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <span class="keywordtype">int</span> stride)</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span> {</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<ReorgLayerNode>(g, params, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, stride);</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span> }</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span> </div><div class="line"><a name="l00633"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a96b9a9be8e6bc94f1a245d9625c5b596"> 633</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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <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="l00634"></a><span class="lineno"> 634</span> {</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<ReshapeLayerNode>(g, params, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>);</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span> }</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span> </div><div class="line"><a name="l00638"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a4e6a956431d508ac913a77cf1f9eaa69"> 638</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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <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="l00639"></a><span class="lineno"> 639</span>  <span class="keywordtype">float</span> width_scale, <span class="keywordtype">float</span> height_scale)</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span> {</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<ResizeLayerNode>(g, params, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad986b73e9d5f47a623a9b6d773c25e34">policy</a>, width_scale, height_scale);</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span> }</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span> </div><div class="line"><a name="l00644"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#aeeebbfe02ab3fe0320a82d6c3413eeeb"> 644</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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <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="l00645"></a><span class="lineno"> 645</span> {</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  check_nodeidx_pair(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, g);</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  check_nodeidx_pair(rois, g);</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span> </div><div class="line"><a name="l00649"></a><span class="lineno"> 649</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="l00650"></a><span class="lineno"> 650</span> </div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a538f789bf074c367457a6f8f32b83d2d">add_connection</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.index, nid, 0);</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</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="l00653"></a><span class="lineno"> 653</span> </div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  set_node_params(g, nid, params);</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  <span class="keywordflow">return</span> nid;</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span> }</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span> </div><div class="line"><a name="l00658"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a7396e101536756a6aaf05f043a6f0b13"> 658</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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <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="l00659"></a><span class="lineno"> 659</span> {</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  check_nodeidx_pair(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, g);</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span> </div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <span class="comment">// Get input tensor descriptor</span></div><div class="line"><a name="l00663"></a><span class="lineno"> 663</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>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>.node_id)-><a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">outputs</a>()[0]);</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> input_data_layout = input_tensor_desc.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a4b52bb397c7296e8efe864967b44f97e">layout</a>;</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span> </div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <span class="comment">// Create mul node</span></div><div class="line"><a name="l00667"></a><span class="lineno"> 667</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="l00668"></a><span class="lineno"> 668</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#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(input_data_layout, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>)];</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  mul_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#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(input_data_layout, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195">DataLayoutDimension::WIDTH</a>), 1);</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  mul_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#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(input_data_layout, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6">DataLayoutDimension::HEIGHT</a>), 1);</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  mul_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#a1df15aed3ed531f442ecea2a131d65a4">get_dimension_idx</a>(input_data_layout, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>), C);</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</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="l00673"></a><span class="lineno"> 673</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="l00674"></a><span class="lineno"> 674</span> </div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  <span class="comment">// Create add node</span></div><div class="line"><a name="l00676"></a><span class="lineno"> 676</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="l00677"></a><span class="lineno"> 677</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="l00678"></a><span class="lineno"> 678</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="l00679"></a><span class="lineno"> 679</span> </div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  <span class="comment">// Create node and connect</span></div><div class="line"><a name="l00681"></a><span class="lineno"> 681</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, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, mul_const_nidxp, <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa12973876c037bddff8e9ece94aca0e4a62b6d55816cf737bfc6f42e60df1a3f2">EltwiseOperation::Mul</a>);</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</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="l00683"></a><span class="lineno"> 683</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="l00684"></a><span class="lineno"> 684</span> </div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  <span class="keywordflow">return</span> add_node;</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span> }</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span> </div><div class="line"><a name="l00688"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#af06fa4df1027c97658c0c26570b2bdb5"> 688</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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <span class="keywordtype">float</span> beta)</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span> {</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<SoftmaxLayerNode>(g, params, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, beta);</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span> }</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span> </div><div class="line"><a name="l00693"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a819d4ebfd6c79e430f7dc0a5e5241203"> 693</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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <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="l00694"></a><span class="lineno"> 694</span> {</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<SliceLayerNode>(g, params, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, starts, ends);</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span> }</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span> </div><div class="line"><a name="l00698"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a0df296d05af531f77715dfeaf27f48cd"> 698</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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_splits, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">axis</a>)</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span> {</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<SplitLayerNode>(g, params, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, num_splits, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">axis</a>);</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span> }</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span> </div><div class="line"><a name="l00703"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ae0a382c6800d4ebe51ba9ced8841e2b5"> 703</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#ae0a382c6800d4ebe51ba9ced8841e2b5">GraphBuilder::add_stack_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, <span class="keyword">const</span> std::vector<NodeIdxPair> &inputs, <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">axis</a>)</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span> {</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  <span class="keywordflow">return</span> create_simple_multiple_input_single_output_node<StackLayerNode>(g, params, inputs, inputs.size(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">axis</a>);</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span> }</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span> </div><div class="line"><a name="l00708"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#abfc484c5e7a1a8cdd8a545857a8dc425"> 708</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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>, <a class="code" href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9">InterpolationPolicy</a> upsampling_policy)</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span> {</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<UpsampleLayerNode>(g, params, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>, upsampling_policy);</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span> }</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span> </div><div class="line"><a name="l00713"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a2a0e27fb3cd961fc292b73bd92c7e0ad"> 713</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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>, int32_t num_classes)</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span> {</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  <span class="keywordflow">return</span> create_simple_single_input_output_node<YOLOLayerNode>(g, params, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>, num_classes);</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span> }</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span> } <span class="comment">// namespace graph</span></div><div class="line"><a name="l00718"></a><span class="lineno"> 718</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#l00050">Utils.h:50</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1graph_1_1_node_params_xhtml"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_node_params.xhtml">arm_compute::graph::NodeParams</a></div><div class="ttdoc">Common node parameters.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00196">Types.h:196</a></div></div> |
| <div class="ttc" id="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#l00713">GraphBuilder.cpp:713</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#l00191">Types.h:191</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#l00698">GraphBuilder.cpp:698</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#l00366">Types.h:366</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_absolute_difference_8cpp_source.xhtml#l00097">AbsoluteDifference.cpp:97</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_a44fe1be81ac7e5aadbc73f05bb95aae1"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a44fe1be81ac7e5aadbc73f05bb95aae1">arm_compute::graph::GraphBuilder::add_quantization_node</a></div><div class="ttdeci">static NodeID add_quantization_node(Graph &g, NodeParams params, NodeIdxPair input, const QuantizationInfo &out_quant_info)</div><div class="ttdoc">Adds a quantization layer node to the graph.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00623">GraphBuilder.cpp:623</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#l00142">GraphBuilder.cpp:142</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#l01417">Types.h:1417</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="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_addition_8cpp_source.xhtml#l00139">ArithmeticAddition.cpp:139</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#l00100">Types.h:100</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="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a60f996c5c698c7b9cbd82ee414b41d2e"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a60f996c5c698c7b9cbd82ee414b41d2e">arm_compute::graph::GraphBuilder::add_input_node</a></div><div class="ttdeci">static NodeID add_input_node(Graph &g, NodeParams params, const 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#l00116">GraphBuilder.cpp:116</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's given dimension depending on its layout.</div><div class="ttdef"><b>Definition:</b> <a href="src_2graph_2_utils_8cpp_source.xhtml#l00123">Utils.cpp:123</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a1f8aca235c095df227e7444f6b237eb1"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">arm_compute::test::validation::act_info</a></div><div class="ttdeci">act_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00183">ConvolutionLayer.cpp:183</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#l00455">Types.h:455</a></div></div> |
| <div class="ttc" id="namespace_gemm_tuner_xhtml_a8187411843a6284ffb964ef3fb9fcab3"><div class="ttname"><a href="namespace_gemm_tuner.xhtml#a8187411843a6284ffb964ef3fb9fcab3">GemmTuner.args</a></div><div class="ttdeci">args</div><div class="ttdef"><b>Definition:</b> <a href="_gemm_tuner_8py_source.xhtml#l00555">GemmTuner.py:555</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a613c0d9db4a80d400c8dc220648d337e"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a613c0d9db4a80d400c8dc220648d337e">arm_compute::graph::GraphBuilder::add_prelu_node</a></div><div class="ttdeci">static NodeID add_prelu_node(Graph &g, NodeParams params, NodeIdxPair input, NodeIdxPair alpha)</div><div class="ttdoc">Adds a prelu layer node to the graph.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00584">GraphBuilder.cpp:584</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#l00235">Graph.h:235</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a00525ff582f16038a1d3819aa44a23a3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00597">Winograd.cpp:597</a></div></div> |
| <div class="ttc" id="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#l00638">GraphBuilder.cpp:638</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a5cd4c7258f59e2c5d03ed8ae5849a650"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a5cd4c7258f59e2c5d03ed8ae5849a650">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, const QuantizationInfo &out_quant_info=QuantizationInfo())</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#l00136">GraphBuilder.cpp:136</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#l00543">GraphBuilder.cpp:543</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#l00579">GraphBuilder.cpp:579</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#l01677">Types.h:1677</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#l00574">GraphBuilder.cpp:574</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00466">Error.h:466</a></div></div> |
| <div class="ttc" id="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#l00803">Types.h:803</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#l00194">GraphBuilder.cpp:194</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#l00633">GraphBuilder.cpp:633</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#l00296">Error.h:296</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml">arm_compute::ActivationLayerInfo</a></div><div class="ttdoc">Activation Layer Information class.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01615">Types.h:1615</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a6dc61dbaf7ce5612ac8d1566c1c222e3"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a6dc61dbaf7ce5612ac8d1566c1c222e3">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, const 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#l00608">GraphBuilder.cpp:608</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a667742f5b5d3574fb50c8180609efac4"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a667742f5b5d3574fb50c8180609efac4">arm_compute::graph::GraphBuilder::add_concatenate_node</a></div><div class="ttdeci">static NodeID add_concatenate_node(Graph &g, NodeParams params, const std::vector< NodeIdxPair > &inputs, const descriptors::ConcatLayerDescriptor &concat_descriptor)</div><div class="ttdoc">Adds a depth concatenate node to the graph.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00321">GraphBuilder.cpp:321</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_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#l00527">GraphBuilder.cpp:527</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#l00693">GraphBuilder.cpp:693</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a1735fd3d9b774a2c92ca1619886d2ede"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a1735fd3d9b774a2c92ca1619886d2ede">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, 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#l00270">GraphBuilder.cpp:270</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_afbb302ca2e2f509f976568ba0928c2ce"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#afbb302ca2e2f509f976568ba0928c2ce">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#l00213">GraphBuilder.cpp:213</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2020 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div> |
| <div class="ttc" id="classarm__compute_1_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#l00708">GraphBuilder.cpp:708</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_aff2fa3e8e802bcefd6fdd5780aa096e1"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#aff2fa3e8e802bcefd6fdd5780aa096e1">arm_compute::graph::GraphBuilder::add_detection_output_node</a></div><div class="ttdeci">static NodeID add_detection_output_node(Graph &g, NodeParams params, NodeIdxPair input_loc, NodeIdxPair input_conf, NodeIdxPair input_priorbox, const DetectionOutputLayerInfo &detect_info)</div><div class="ttdoc">Adds a detection output layer node to the graph.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00384">GraphBuilder.cpp:384</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a8fcf2ddd9a1d58b1b280f5c0aed71845"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">arm_compute::test::validation::input</a></div><div class="ttdeci">auto input</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">LSTMLayerQuantized.cpp:487</a></div></div> |
| <div class="ttc" id="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="classarm__compute_1_1_quantization_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_quantization_info.xhtml">arm_compute::QuantizationInfo</a></div><div class="ttdoc">Quantization information.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00069">QuantizationInfo.h:69</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#l00192">Types.h:192</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1graph_1_1_tensor_descriptor_xhtml_a65bc62ff84efcb7e4a410600480a4dc9"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">arm_compute::graph::TensorDescriptor::quant_info</a></div><div class="ttdeci">QuantizationInfo quant_info</div><div class="ttdoc">Quantization info.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_descriptor_8h_source.xhtml#l00112">TensorDescriptor.h:112</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a69a669c24a8f0db98f3f980e161ab890"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a69a669c24a8f0db98f3f980e161ab890">arm_compute::graph::GraphBuilder::add_print_node</a></div><div class="ttdeci">static NodeID add_print_node(Graph &g, NodeParams params, NodeIdxPair input, std::ostream &stream, const IOFormatInfo &format_info=IOFormatInfo(), const std::function< ITensor *(ITensor *)> transform=nullptr)</div><div class="ttdoc">Adds a print layer node to the graph.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00603">GraphBuilder.cpp:603</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_ae0a382c6800d4ebe51ba9ced8841e2b5"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#ae0a382c6800d4ebe51ba9ced8841e2b5">arm_compute::graph::GraphBuilder::add_stack_node</a></div><div class="ttdeci">static NodeID add_stack_node(Graph &g, NodeParams params, const std::vector< NodeIdxPair > &inputs, int axis)</div><div class="ttdoc">Adds a stack layer node to the graph.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00703">GraphBuilder.cpp:703</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00152">Error.h:152</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_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#l00436">GraphBuilder.cpp:436</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1_i_o_format_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_i_o_format_info.xhtml">arm_compute::IOFormatInfo</a></div><div class="ttdoc">IO formatting information class.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l02177">Types.h:2177</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#l00628">GraphBuilder.cpp:628</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_1test_1_1validation_xhtml_a2270b3e1d20651d2d8341c858c890830"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">arm_compute::test::validation::num_groups</a></div><div class="ttdeci">const unsigned int num_groups</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00148">Im2Col.cpp:148</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a75ce9b1baad4303a53124d6f0795821f"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">arm_compute::graph::DepthwiseConvolutionMethod</a></div><div class="ttdeci">DepthwiseConvolutionMethod</div><div class="ttdoc">Supported Depthwise Convolution layer methods.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00117">Types.h:117</a></div></div> |
| <div class="ttc" id="classarm__compute_1_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="structarm__compute_1_1_pooling_layer_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_pooling_layer_info.xhtml">arm_compute::PoolingLayerInfo</a></div><div class="ttdoc">Pooling Layer Information struct.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01211">Types.h:1211</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_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#l00644">GraphBuilder.cpp:644</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#l00836">Types.h:836</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#l00686">Types.h:686</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a3161c2c93c655dd30953372064ec627b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">arm_compute::test::validation::alpha</a></div><div class="ttdeci">const float alpha</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_accumulate_8cpp_source.xhtml#l00103">Accumulate.cpp:103</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_1_1test_1_1validation_xhtml_a9aeced5a5128f60a31ea3e327a45ee21"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a9aeced5a5128f60a31ea3e327a45ee21">arm_compute::test::validation::has_bias</a></div><div class="ttdeci">const bool has_bias</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00147">Im2Col.cpp:147</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229"><div class="ttname"><a href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">arm_compute::DataLayoutDimension::CHANNEL</a></div><div class="ttdoc">channel</div></div> |
| <div class="ttc" id="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#l01548">Types.h:1548</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#l00431">GraphBuilder.cpp:431</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a50410fc54c8540887d600849043327d5"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a50410fc54c8540887d600849043327d5">arm_compute::graph::GraphBuilder::add_dequantization_node</a></div><div class="ttdeci">static NodeID add_dequantization_node(Graph &g, NodeParams params, NodeIdxPair input)</div><div class="ttdoc">Adds a dequantization node to the graph.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00379">GraphBuilder.cpp:379</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#l00548">GraphBuilder.cpp:548</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#l00189">Types.h:189</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_ac85a46f3ebd3ab09f576a994ac2dce11"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#ac85a46f3ebd3ab09f576a994ac2dce11">arm_compute::graph::FastMathHint</a></div><div class="ttdeci">FastMathHint</div><div class="ttdoc">Enable or disable fast math for Convolution layer.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00125">Types.h:125</a></div></div> |
| <div class="ttc" id="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#l01139">Utils.h:1139</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#l00208">GraphBuilder.cpp:208</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_p_relu_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_p_relu_layer_node.xhtml">arm_compute::graph::PReluLayerNode</a></div><div class="ttdoc">PRelu Layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_p_relu_layer_node_8h_source.xhtml#l00034">PReluLayerNode.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph.xhtml">arm_compute::graph::Graph</a></div><div class="ttdoc">Graph class.</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_graph_8h_source.xhtml#l00053">Graph.h:53</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_detection_output_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_detection_output_layer_info.xhtml">arm_compute::DetectionOutputLayerInfo</a></div><div class="ttdoc">Detection Output layer info.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00973">Types.h:973</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_detection_post_process_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml">arm_compute::graph::DetectionPostProcessLayerNode</a></div><div class="ttdoc">DetectionPostProcess Layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_node_8h_source.xhtml#l00034">DetectionPostProcessLayerNode.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a17fe8b7f4dbd6cf0747ab9d328a56f88"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a17fe8b7f4dbd6cf0747ab9d328a56f88">arm_compute::graph::GraphBuilder::add_detection_post_process_node</a></div><div class="ttdeci">static NodeID add_detection_post_process_node(Graph &g, NodeParams params, NodeIdxPair input_box_encoding, NodeIdxPair input_class_prediction, const DetectionPostProcessLayerInfo &detect_info, ITensorAccessorUPtr anchors_accessor=nullptr, const QuantizationInfo &anchor_quant_info=QuantizationInfo())</div><div class="ttdoc">Adds a detection post process layer node to the graph.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_builder_8cpp_source.xhtml#l00401">GraphBuilder.cpp:401</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a56952a8591a9d8481450ae707ae355e7"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a56952a8591a9d8481450ae707ae355e7">arm_compute::graph::NodeID</a></div><div class="ttdeci">unsigned int NodeID</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00064">Types.h:64</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_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#l00688">GraphBuilder.cpp:688</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_detection_output_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml">arm_compute::graph::DetectionOutputLayerNode</a></div><div class="ttdoc">DetectionOutput Layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_output_layer_node_8h_source.xhtml#l00034">DetectionOutputLayerNode.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_quantization_info_xhtml_a644718bb2fb240de962dc3c9a1fdf0dc"><div class="ttname"><a href="classarm__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="_quantization_info_8h_source.xhtml#l00140">QuantizationInfo.h:140</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_accc088009d44c521706aa98d6387ee21"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">arm_compute::test::validation::axis</a></div><div class="ttdeci">axis</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_stack_layer_8cpp_source.xhtml#l00226">StackLayer.cpp:226</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_1graph_1_1_graph_builder_xhtml_aae4c638ec880f2bd9ff29e072e8f34e5"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#aae4c638ec880f2bd9ff29e072e8f34e5">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, NodeID weights_nid, NodeID bias_nid=EmptyNodeID, const FullyConnectedLayerInfo fc_info=FullyConnectedLayerInfo(), 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#l00456">GraphBuilder.cpp:456</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#l01374">Types.h:1374</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_aad3f5296ec88b9d552c109b04b89ad9f"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#aad3f5296ec88b9d552c109b04b89ad9f">arm_compute::graph::EmptyNodeID</a></div><div class="ttdeci">constexpr NodeID EmptyNodeID</div><div class="ttdoc">Constant EdgeID specifying an equivalent of null edge.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00071">Types.h:71</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_xhtml_af8baf1f3da6d42a94d0569395ece882a"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph.xhtml#af8baf1f3da6d42a94d0569395ece882a">arm_compute::graph::Graph::node</a></div><div class="ttdeci">const INode * node(NodeID id) const</div><div class="ttdoc">Get node object given its id.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00204">Graph.cpp:204</a></div></div> |
| <div class="ttc" id="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#l00658">GraphBuilder.cpp:658</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a683661ae75dcb7aef16b9c9bde31517d"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517d">arm_compute::graph::ConvolutionMethod</a></div><div class="ttdeci">ConvolutionMethod</div><div class="ttdoc">Supported Convolution layer methods.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00108">Types.h:108</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_detection_post_process_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_detection_post_process_layer_info.xhtml">arm_compute::DetectionPostProcessLayerInfo</a></div><div class="ttdoc">Detection Output layer info.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01092">Types.h:1092</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1graph_1_1descriptors_1_1_concat_layer_descriptor_xhtml"><div class="ttname"><a href="structarm__compute_1_1graph_1_1descriptors_1_1_concat_layer_descriptor.xhtml">arm_compute::graph::descriptors::ConcatLayerDescriptor</a></div><div class="ttdoc">Concatenate layer descriptor.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_descriptors_8h_source.xhtml#l00036">LayerDescriptors.h:36</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="classarm__compute_1_1graph_1_1_fully_connected_layer_node_xhtml_a52400aeb76f277dca0ad7df201c7a196"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a52400aeb76f277dca0ad7df201c7a196">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(), const 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_aa7b1756a674d54d96df4e02a31169082"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#aa7b1756a674d54d96df4e02a31169082">arm_compute::graph::GraphBuilder::add_const_node</a></div><div class="ttdeci">static NodeID add_const_node(Graph &g, NodeParams params, const 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#l00108">GraphBuilder.cpp:108</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#l00451">GraphBuilder.cpp:451</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4f4125dba5283887b34f889b1c615c0c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">arm_compute::test::validation::info</a></div><div class="ttdeci">info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00182">ConvolutionLayer.cpp:182</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_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#l00598">GraphBuilder.cpp:598</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1graph_1_1_tensor_descriptor_xhtml_a4b52bb397c7296e8efe864967b44f97e"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a4b52bb397c7296e8efe864967b44f97e">arm_compute::graph::TensorDescriptor::layout</a></div><div class="ttdeci">DataLayout layout</div><div class="ttdoc">Data layout.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_descriptor_8h_source.xhtml#l00111">TensorDescriptor.h:111</a></div></div> |
| <div class="ttc" id="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_absolute_difference_8cpp_source.xhtml#l00113">AbsoluteDifference.cpp:113</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#l00117">Types.h:117</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a1df15aed3ed531f442ecea2a131d65a4"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a1df15aed3ed531f442ecea2a131d65a4">arm_compute::graph::get_dimension_idx</a></div><div class="ttdeci">size_t get_dimension_idx(DataLayout data_layout, const DataLayoutDimension data_layout_dimension)</div><div class="ttdoc">Get index of a tensor's given dimension depending on its layout.</div><div class="ttdef"><b>Definition:</b> <a href="src_2graph_2_utils_8cpp_source.xhtml#l00129">Utils.cpp:129</a></div></div> |
| <div class="ttc" id="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#l00124">GraphBuilder.cpp:124</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_builder_xhtml_a9c59d071c7e6c2574e1d5587ba50949c"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph_builder.xhtml#a9c59d071c7e6c2574e1d5587ba50949c">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, int depth_multiplier=1, DepthwiseConvolutionMethod method=DepthwiseConvolutionMethod::Default, ITensorAccessorUPtr weights_accessor=nullptr, ITensorAccessorUPtr bias_accessor=nullptr, const QuantizationInfo &quant_info=QuantizationInfo(), const QuantizationInfo &out_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#l00326">GraphBuilder.cpp:326</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1quantization_xhtml_a552dc3787d7ea1675f3e4e8993501d58"><div class="ttname"><a href="namespacearm__compute_1_1quantization.xhtml#a552dc3787d7ea1675f3e4e8993501d58">arm_compute::quantization::epsilon</a></div><div class="ttdeci">constexpr float epsilon</div><div class="ttdef"><b>Definition:</b> <a href="_asymm_helpers_8cpp_source.xhtml#l00036">AsymmHelpers.cpp:36</a></div></div> |
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