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| <a href="_validate_helpers_8h.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">#ifndef ARM_COMPUTE_GRAPH_BACKENDS_DETAIL_VALIDATE_HELPERS_H</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define ARM_COMPUTE_GRAPH_BACKENDS_DETAIL_VALIDATE_HELPERS_H</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="graph_2_logger_8h.xhtml">arm_compute/graph/Logger.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="graph_2_tensor_8h.xhtml">arm_compute/graph/Tensor.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2graph_2_types_8h.xhtml">arm_compute/graph/Types.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</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="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_error_8h.xhtml">arm_compute/core/Error.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_helpers_8h.xhtml">arm_compute/core/Helpers.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="_i_tensor_info_8h.xhtml">arm_compute/core/ITensorInfo.h</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">namespace </span>graph</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword">namespace </span>backends</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">namespace </span>detail</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {<span class="comment"></span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment">/** Returns backing tensor info of a given tensor</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment"> *</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment"> * @param[in] tensor Tensor to extract the backing tensor from</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="comment"> *</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"> * @return Backing tensor tensor info if present else nullptr</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment"> */</span></div><div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca"> 50</a></span> <span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(<a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml">arm_compute::graph::Tensor</a> *tensor)</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> {</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">return</span> ((tensor == <span class="keyword">nullptr</span>) || (tensor-><a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a45c1ef0023ce430d009ec79c97761544">handle</a>() == <span class="keyword">nullptr</span>)) ? nullptr : tensor-><a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a45c1ef0023ce430d009ec79c97761544">handle</a>()-><a class="code" href="classarm__compute_1_1graph_1_1_i_tensor_handle.xhtml#a91efb5b2e262ec5e55059ff1fd9accc6">tensor</a>().<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>();</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> }</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"></span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment">/** Validates a Bounding Box Transform layer node</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"> *</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> * @tparam BoundingBoxTransformLayer Bounding Box Transform layer function type</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> *</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"> * @param[in] node Node to validate</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"> *</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="comment"> * @return Status</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="comment"> */</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="keyword">template</span> <<span class="keyword">typename</span> BoundingBoxTransformLayer></div><div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a94ce5eb74599047cd5f8b735e2464d12"> 64</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a94ce5eb74599047cd5f8b735e2464d12">validate_bounding_box_transform_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml">BoundingBoxTransformLayerNode</a> &node)</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>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating BoundingBoxTransformLayer node with ID : "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>() << <span class="stringliteral">" and Name: "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>() << std::endl);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">num_inputs</a>() != 2);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>() != 1);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a> = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *deltas = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(1));</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_bounding_box_transform_info.xhtml">BoundingBoxTransformInfo</a> bbox_info = node.<a class="code" href="classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#a7a5bf7cea9e9cf19a6cf3e5240c5fff7">info</a>();</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>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">BoundingBoxTransformLayer::validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, output, deltas, bbox_info);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> }</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment"></span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="comment">/** Validates a Channel Shuffle layer node</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment"> *</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="comment"> * @tparam ChannelShuffleLayer Channel Shuffle layer function type</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="comment"> *</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="comment"> * @param[in] node Node to validate</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="comment"> *</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="comment"> * @return Status</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="comment"> */</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="keyword">template</span> <<span class="keyword">typename</span> ChannelShuffleLayer></div><div class="line"><a name="l00088"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ab4632d71bdb4542008ad33b7b74b7b2c"> 88</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ab4632d71bdb4542008ad33b7b74b7b2c">validate_channel_shuffle_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml">ChannelShuffleLayerNode</a> &node)</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> {</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating ChannelShuffle node with ID : "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>() << <span class="stringliteral">" and Name: "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>() << std::endl);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">num_inputs</a>() != 1);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>() != 1);</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>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a> = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a> = node.<a class="code" href="classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a984881c2c9e6de259af8fcd4ecbc4d80">num_groups</a>();</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>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">ChannelShuffleLayer::validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> }</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="comment"></span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="comment">/** Validates a Convolution layer node</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="comment"> *</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="comment"> * @tparam ConvolutionLayer Default Convolution layer function type</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="comment"> * @tparam DirectConvolutionLayer Direct Convolution layer function type</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="comment"> * @tparam GEMMConvolutionLayer GEMM Convolution layer function type</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="comment"> * @tparam WinogradConvolutionLayer Winograd Convolution layer function type</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="comment"> *</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="comment"> * @param[in] node Node to validate</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="comment"> *</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="comment"> * @return Status</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="comment"> */</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="keyword">template</span> <<span class="keyword">typename</span> ConvolutionLayer, <span class="keyword">typename</span> DirectConvolutionLayer, <span class="keyword">typename</span> GEMMConvolutionLayer, <span class="keyword">typename</span> WinogradConvolutionLayer></div><div class="line"><a name="l00114"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a84a36a0cae1ceb4313891ca841b11cb3"> 114</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a84a36a0cae1ceb4313891ca841b11cb3">validate_convolution_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml">ConvolutionLayerNode</a> &node)</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> {</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating ConvolutionLayer node with ID : "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>() << <span class="stringliteral">" and Name: "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>() << std::endl);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">num_inputs</a>() != 3);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>() != 1);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a> = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(1));</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *biases = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(2));</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</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>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">is_data_type_quantized_asymmetric</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>->data_type()))</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>  biases-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a9ebcdce876b4cd07736afa47d50154de">set_data_type</a>(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  }</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a> = node.<a class="code" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#ad087f1f9aa1e444236911adf6c57df04">convolution_info</a>();</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517d">ConvolutionMethod</a> conv_algorithm = node.<a class="code" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a16b2c6652c4cee5b566daf018f768a42">convolution_method</a>();</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> fast_math = node.<a class="code" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a807d0a897f65b2fa1f8ea92892fa2c2a">fast_math_hint</a>() == <a class="code" href="namespacearm__compute_1_1graph.xhtml#ac85a46f3ebd3ab09f576a994ac2dce11a00d23a76e43b46dae9ec7aa9dcbebb32">FastMathHint::Enabled</a>;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a> = node.<a class="code" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a984881c2c9e6de259af8fcd4ecbc4d80">num_groups</a>();</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="comment">// Validate function</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> status{};</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">switch</span>(conv_algorithm)</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  {</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517dafd1dd0c603be8170f9eae0be9f2f6afb">ConvolutionMethod::Direct</a>:</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="_error_8h.xhtml#a1c69762a42ab8add645d0a949b6f4b1f">ARM_COMPUTE_RETURN_ERROR_ON_MSG</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a> != 1, <span class="stringliteral">"DirectConvolutionLayer does not support grouping!"</span>);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  status = <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">DirectConvolutionLayer::validate</a>(<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#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517da5174aac3927faa9ee34befb7fc87a9e3">ConvolutionMethod::GEMM</a>:</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  status = <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">GEMMConvolutionLayer::validate</a>(<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#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <a class="code" href="classarm__compute_1_1_weights_info.xhtml">WeightsInfo</a>(), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(1, 1), <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#a2270b3e1d20651d2d8341c858c890830">num_groups</a>);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517da09db1dd1078ec6bdbe2722b4558e578f">ConvolutionMethod::Winograd</a>:</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <a class="code" href="_error_8h.xhtml#a1c69762a42ab8add645d0a949b6f4b1f">ARM_COMPUTE_RETURN_ERROR_ON_MSG</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a> != 1, <span class="stringliteral">"WinogradConvolutionLayer does not support grouping!"</span>);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  status = <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">WinogradConvolutionLayer::validate</a>(<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#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(), fast_math);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517da7a1920d61156abc05a60135aefe8bc67">ConvolutionMethod::Default</a>:</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  status = <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">ConvolutionLayer::validate</a>(<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#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="classarm__compute_1_1_weights_info.xhtml">WeightsInfo</a>(), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(1, 1), <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(), fast_math, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2270b3e1d20651d2d8341c858c890830">num_groups</a>);</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="_error_8h.xhtml#a9561091f3566e78ad3aa39259bc4126a">ARM_COMPUTE_RETURN_ERROR_MSG</a>(<span class="stringliteral">"Unsupported convolution method"</span>);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  }</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">return</span> status;</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"></span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> <span class="comment">/** Validates a Depthwise Convolution layer node</span></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> <span class="comment"> *</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="comment"> * @tparam DepthwiseConvolutionLayer Default Depthwise Convolution layer type</span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="comment"> *</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="comment"> * @param[in] node Node to validate</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="comment"> *</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> <span class="comment"> * @return Status</span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="comment"> */</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="keyword">template</span> <<span class="keyword">typename</span> DepthwiseConvolutionLayer></div><div class="line"><a name="l00172"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#acdd027e9c5015bdd7102c142b553f222"> 172</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#acdd027e9c5015bdd7102c142b553f222">validate_depthwise_convolution_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml">DepthwiseConvolutionLayerNode</a> &node)</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> {</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating DepthwiseConvolutionLayer node with ID : "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>() << <span class="stringliteral">" and Name: "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>() << std::endl);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">num_inputs</a>() != 3);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>() != 1);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> </div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a> = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(1));</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *biases = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(2));</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a> = node.<a class="code" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#ad087f1f9aa1e444236911adf6c57df04">convolution_info</a>();</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821f">DepthwiseConvolutionMethod</a> dwc_algorithm = node.<a class="code" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a8cefd89d2de49691e778c8d5a08ac92f">depthwise_convolution_method</a>();</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> depth_multiplier = node.<a class="code" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a88e38a50a2e964b19521fe8f2e9a144f">depth_multiplier</a>();</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="comment">// Validate function</span></div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> status{};</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keywordflow">switch</span>(dwc_algorithm)</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  {</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa7a1920d61156abc05a60135aefe8bc67">DepthwiseConvolutionMethod::Default</a>:</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa3bb7b7f3f021a006e65111fc1d226938">DepthwiseConvolutionMethod::Optimized3x3</a>:</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  status = <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">DepthwiseConvolutionLayer::validate</a>(<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#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, biases, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, depth_multiplier);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <a class="code" href="_error_8h.xhtml#a9561091f3566e78ad3aa39259bc4126a">ARM_COMPUTE_RETURN_ERROR_MSG</a>(<span class="stringliteral">"Unsupported depthwise convolution method"</span>);</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> </div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">return</span> status;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> }<span class="comment"></span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> <span class="comment">/** Validates a dequantize layer node</span></div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> <span class="comment"> *</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="comment"> * @tparam DequantizationLayer Dequantize layer type</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> <span class="comment"> *</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> <span class="comment"> * @param[in] node Node to validate</span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> <span class="comment"> *</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> <span class="comment"> * @return Status</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> <span class="comment"> */</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> <span class="keyword">template</span> <<span class="keyword">typename</span> DequantizationLayer></div><div class="line"><a name="l00211"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a891884386a167090b520930b164870f9"> 211</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a891884386a167090b520930b164870f9">validate_dequantization_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_dequantization_layer_node.xhtml">DequantizationLayerNode</a> &node)</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> {</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating DetectionOutputLayer node with ID : "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>() << <span class="stringliteral">" and Name: "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>() << std::endl);</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">num_inputs</a>() != 1);</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>() != 1);</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> </div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a> = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">DequantizationLayer::validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, output);</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> }<span class="comment"></span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> <span class="comment">/** Validates a detection output layer node</span></div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> <span class="comment"> *</span></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> <span class="comment"> * @tparam DetectionOutputLayer DetectionOutput layer type</span></div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> <span class="comment"> *</span></div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> <span class="comment"> * @param[in] node Node to validate</span></div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> <span class="comment"> *</span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> <span class="comment"> * @return Status</span></div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> <span class="comment"> */</span></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> <span class="keyword">template</span> <<span class="keyword">typename</span> DetectionOutputLayer></div><div class="line"><a name="l00232"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a432fd13bfda1435e0d3a8aa5b3dddf4f"> 232</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a432fd13bfda1435e0d3a8aa5b3dddf4f">validate_detection_output_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml">DetectionOutputLayerNode</a> &node)</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> {</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating DetectionOutputLayer node with ID : "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>() << <span class="stringliteral">" and Name: "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>() << std::endl);</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">num_inputs</a>() != 3);</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>() != 1);</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> </div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input0 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input1 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(1));</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input2 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(2));</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_detection_output_layer_info.xhtml">DetectionOutputLayerInfo</a> detect_info = node.<a class="code" href="classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#a4491336dccd18464fbbf617c981736cf">detection_output_info</a>();</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">DetectionOutputLayer::validate</a>(input0, input1, input2, output, detect_info);</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> }<span class="comment"></span></div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> <span class="comment">/** Validates a detection post process layer node</span></div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> <span class="comment"> *</span></div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> <span class="comment"> * @tparam DetectionPostProcessLayer DetectionOutput layer type</span></div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> <span class="comment"> *</span></div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> <span class="comment"> * @param[in] node Node to validate</span></div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> <span class="comment"> *</span></div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> <span class="comment"> * @return Status</span></div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> <span class="comment"> */</span></div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> <span class="keyword">template</span> <<span class="keyword">typename</span> DetectionPostProcessLayer></div><div class="line"><a name="l00256"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9c20f659744b7e6854294198184c60f1"> 256</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9c20f659744b7e6854294198184c60f1">validate_detection_post_process_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml">DetectionPostProcessLayerNode</a> &node)</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> {</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating DetectionPostProcessLayer node with ID : "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>() << <span class="stringliteral">" and Name: "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>() << std::endl);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">num_inputs</a>() != 3);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>() != 4);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input0 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input1 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(1));</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input2 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(2));</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output0 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output1 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(1));</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output2 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(2));</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output3 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(3));</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_detection_post_process_layer_info.xhtml">DetectionPostProcessLayerInfo</a> detect_info = node.<a class="code" href="classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml#a23ab280af362e61b91763038fc3194f4">detection_post_process_info</a>();</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> </div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">DetectionPostProcessLayer::validate</a>(input0, input1, input2, output0, output1, output2, output3, detect_info);</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span> }</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> <span class="comment"></span></div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> <span class="comment">/** Validates a Generate Proposals layer node</span></div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> <span class="comment"> *</span></div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> <span class="comment"> * @tparam GenerateProposalsLayer Generate Proposals layer type</span></div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> <span class="comment"> *</span></div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="comment"> * @param[in] node Node to validate</span></div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> <span class="comment"> *</span></div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span> <span class="comment"> * @return Status</span></div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> <span class="comment"> */</span></div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span> <span class="keyword">template</span> <<span class="keyword">typename</span> GenerateProposalsLayer></div><div class="line"><a name="l00284"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a40f232193e819dfc9dc9edbabefd5b7a"> 284</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a40f232193e819dfc9dc9edbabefd5b7a">validate_generate_proposals_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml">GenerateProposalsLayerNode</a> &node)</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span> {</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating GenerateProposalsLayer node with ID : "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>() << <span class="stringliteral">" and Name: "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>() << std::endl);</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">num_inputs</a>() != 3);</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>() != 3);</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> </div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *scores = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *deltas = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(1));</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *anchors = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(2));</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *proposals = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *scores_out = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(1));</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *num_valid_proposals = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(2));</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keyword">const</span> <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> = node.<a class="code" href="classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#acfa649555ddb4df4cc5ae52b8205ee5f">info</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>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">GenerateProposalsLayer::validate</a>(scores, deltas, anchors, proposals, scores_out, num_valid_proposals, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>);</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> }</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> <span class="comment"></span></div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> <span class="comment">/** Validates a NormalizePlanarYUV layer node</span></div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span> <span class="comment"> *</span></div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span> <span class="comment"> * @tparam NormalizePlanarYUVLayer layer type</span></div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> <span class="comment"> *</span></div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span> <span class="comment"> * @param[in] node Node to validate</span></div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span> <span class="comment"> *</span></div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span> <span class="comment"> * @return Status</span></div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span> <span class="comment"> */</span></div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> <span class="keyword">template</span> <<span class="keyword">typename</span> NormalizePlanarYUVLayer></div><div class="line"><a name="l00311"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ad6c95a270f3275bd5711ce6ec193c4ff"> 311</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ad6c95a270f3275bd5711ce6ec193c4ff">validate_normalize_planar_yuv_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_normalize_planar_y_u_v_layer_node.xhtml">NormalizePlanarYUVLayerNode</a> &node)</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> {</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating NormalizePlanarYUVLayer node with ID : "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>() << <span class="stringliteral">" and Name: "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>() << std::endl);</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">num_inputs</a>() != 3);</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>() != 1);</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span> </div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a> = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *mean = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(1));</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *std = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(2));</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</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="comment">// Validate function</span></div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">NormalizePlanarYUVLayer::validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, output, mean, std);</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> }</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> <span class="comment"></span></div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span> <span class="comment">/** Validates a pad layer node</span></div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span> <span class="comment"> *</span></div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> <span class="comment"> * @tparam PadLayer Pad layer type</span></div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span> <span class="comment"> *</span></div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span> <span class="comment"> * @param[in] node Node to validate</span></div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> <span class="comment"> *</span></div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> <span class="comment"> * @return Status</span></div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span> <span class="comment"> */</span></div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PadLayer></div><div class="line"><a name="l00336"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ada206e294c8d07093a8a50e08172c272"> 336</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ada206e294c8d07093a8a50e08172c272">validate_pad_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_pad_layer_node.xhtml">PadLayerNode</a> &node)</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span> {</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating PadLayer node with ID : "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>() << <span class="stringliteral">" and Name: "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>() << std::endl);</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">num_inputs</a>() != 1);</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>() != 1);</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a> = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ac1a1b012674e0f1de071a611391828ad">PaddingList</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a> = node.<a class="code" href="classarm__compute_1_1graph_1_1_pad_layer_node.xhtml#af98c64901f2fef6b6e26563bbb358f7e">padding</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>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">PadLayer::validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a>);</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span> }</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span> <span class="comment"></span></div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span> <span class="comment">/** Validates a permute layer node</span></div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> <span class="comment"> *</span></div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> <span class="comment"> * @tparam PermuteLayer Permute layer type</span></div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span> <span class="comment"> *</span></div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> <span class="comment"> * @param[in] node Node to validate</span></div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span> <span class="comment"> *</span></div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> <span class="comment"> * @return Status</span></div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span> <span class="comment"> */</span></div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PermuteLayer></div><div class="line"><a name="l00359"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#aeb6f53f28ef137932823d17554043056"> 359</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#aeb6f53f28ef137932823d17554043056">validate_permute_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_permute_layer_node.xhtml">PermuteLayerNode</a> &node)</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>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating PermuteLayer node with ID : "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>() << <span class="stringliteral">" and Name: "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>() << std::endl);</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">num_inputs</a>() != 1);</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>() != 1);</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span> </div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a> = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_strides.xhtml">PermutationVector</a> &perm = node.<a class="code" href="classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#a509cfef89595612c50bce4ef1eae181b">permutation_vector</a>();</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span> </div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">PermuteLayer::validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, output, perm);</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span> }</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> <span class="comment"></span></div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> <span class="comment">/** Validates a PRelu layer node</span></div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span> <span class="comment"> *</span></div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span> <span class="comment"> * @tparam PReluLayer PRelu layer type</span></div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> <span class="comment"> *</span></div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span> <span class="comment"> * @param[in] node Node to validate</span></div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span> <span class="comment"> *</span></div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span> <span class="comment"> * @return Status</span></div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span> <span class="comment"> */</span></div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PReluLayer></div><div class="line"><a name="l00382"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a5f83a0fbf23529c0f205c6732b3c8312"> 382</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a5f83a0fbf23529c0f205c6732b3c8312">validate_prelu_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_p_relu_layer_node.xhtml">PReluLayerNode</a> &node)</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span> {</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating PRelu node with ID : "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>() << <span class="stringliteral">" and Name: "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>() << std::endl);</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">num_inputs</a>() != 2);</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>() != 1);</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span> </div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a> = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a> = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(1));</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span> </div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">PReluLayer::validate</a>(<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#a3161c2c93c655dd30953372064ec627b">alpha</a>, output);</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span> }</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span> <span class="comment"></span></div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> <span class="comment">/** Validates a priorbox layer node</span></div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span> <span class="comment"> *</span></div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> <span class="comment"> * @tparam PriorBoxLayer PriorBox layer type</span></div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span> <span class="comment"> *</span></div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span> <span class="comment"> * @param[in] node Node to validate</span></div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span> <span class="comment"> *</span></div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span> <span class="comment"> * @return Status</span></div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span> <span class="comment"> */</span></div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PriorBoxLayer></div><div class="line"><a name="l00405"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a76682a55960d790a11357ab922a5d659"> 405</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a76682a55960d790a11357ab922a5d659">validate_priorbox_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml">PriorBoxLayerNode</a> &node)</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>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating PriorBoxLayer node with ID : "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>() << <span class="stringliteral">" and Name: "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>() << std::endl);</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">num_inputs</a>() != 2);</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>() != 1);</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span> </div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input0 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input1 = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(1));</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_prior_box_layer_info.xhtml">PriorBoxLayerInfo</a> prior_info = node.<a class="code" href="classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#a0f62f59c57a7cdbdc20f7d850f1dfd8c">priorbox_info</a>();</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="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">PriorBoxLayer::validate</a>(input0, input1, output, prior_info);</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> }</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span> <span class="comment"></span></div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span> <span class="comment">/** Validates a Quantization layer node</span></div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> <span class="comment"> *</span></div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span> <span class="comment"> * @tparam QuantizationLayer Quantization layer type</span></div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span> <span class="comment"> *</span></div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span> <span class="comment"> * @param[in] node Node to validate</span></div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span> <span class="comment"> *</span></div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span> <span class="comment"> * @return Status</span></div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span> <span class="comment"> */</span></div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span> <span class="keyword">template</span> <<span class="keyword">typename</span> QuantizationLayer></div><div class="line"><a name="l00429"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a959fdd41c94dde46a21dd2bf6d50c48b"> 429</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a959fdd41c94dde46a21dd2bf6d50c48b">validate_quantization_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_quantization_layer_node.xhtml">QuantizationLayerNode</a> &node)</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span> {</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating QuantizationLayer node with ID : "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>() << <span class="stringliteral">" and Name: "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>() << std::endl);</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">num_inputs</a>() != 1);</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>() != 1);</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>  <span class="comment">// Extract input and output</span></div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a> = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span> </div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="comment">// Validate function</span></div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">QuantizationLayer::validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, output);</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span> }</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span> <span class="comment"></span></div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span> <span class="comment">/** Validates a Reorg layer node</span></div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span> <span class="comment"> *</span></div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span> <span class="comment"> * @tparam ReorgLayer Reorg layer type</span></div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span> <span class="comment"> *</span></div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span> <span class="comment"> * @param[in] node Node to validate</span></div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span> <span class="comment"> *</span></div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span> <span class="comment"> * @return Status</span></div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span> <span class="comment"> */</span></div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span> <span class="keyword">template</span> <<span class="keyword">typename</span> ReorgLayer></div><div class="line"><a name="l00452"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a4451f539afe63a19da3d17ee95582277"> 452</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a4451f539afe63a19da3d17ee95582277">validate_reorg_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml">ReorgLayerNode</a> &node)</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span> {</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating ReorgLayer node with ID : "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>() << <span class="stringliteral">" and Name: "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>() << std::endl);</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">num_inputs</a>() != 1);</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>() != 1);</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span> </div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="comment">// Extract input and output</span></div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a> = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span> </div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="comment">// Validate function</span></div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">ReorgLayer::validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, output, node.<a class="code" href="classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#a47d010db0ab9940009209db7cf529f36">stride</a>());</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span> }</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span> <span class="comment"></span></div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span> <span class="comment">/** Validates a Reshape layer node</span></div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span> <span class="comment"> *</span></div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span> <span class="comment"> * @tparam ReshapeLayer Reshape layer type</span></div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span> <span class="comment"> *</span></div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span> <span class="comment"> * @param[in] node Node to validate</span></div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span> <span class="comment"> *</span></div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span> <span class="comment"> * @return Status</span></div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span> <span class="comment"> */</span></div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span> <span class="keyword">template</span> <<span class="keyword">typename</span> ReshapeLayer></div><div class="line"><a name="l00475"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ad4cb768bba67e8ccb02d0903da459ecb"> 475</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ad4cb768bba67e8ccb02d0903da459ecb">validate_reshape_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml">ReshapeLayerNode</a> &node)</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>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating ReshapeLayer node with ID : "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>() << <span class="stringliteral">" and Name: "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>() << std::endl);</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">num_inputs</a>() != 1);</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>() != 1);</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span> </div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="comment">// Extract input and output</span></div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a> = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span> </div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="comment">// Validate function</span></div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">ReshapeLayer::validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, output);</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> <span class="comment"></span></div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span> <span class="comment">/** Validates a ROI Align layer node</span></div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span> <span class="comment"> *</span></div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span> <span class="comment"> * @tparam ROIAlignLayer ROIAlign layer type</span></div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span> <span class="comment"> *</span></div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span> <span class="comment"> * @param[in] node Node to validate</span></div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span> <span class="comment"> *</span></div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span> <span class="comment"> * @return Status</span></div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span> <span class="comment"> */</span></div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span> <span class="keyword">template</span> <<span class="keyword">typename</span> ROIAlignLayer></div><div class="line"><a name="l00498"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a366fca5f1c0a2ed6ee50e9d619d4f2e5"> 498</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a366fca5f1c0a2ed6ee50e9d619d4f2e5">validate_roi_align_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml">ROIAlignLayerNode</a> &node)</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>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating ROIAlignLayer node with ID : "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>() << <span class="stringliteral">" and Name: "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>() << std::endl);</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">num_inputs</a>() != 2);</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>() != 1);</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>  <span class="comment">// Extract input and output</span></div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a> = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *rois = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(1));</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_r_o_i_pooling_layer_info.xhtml">ROIPoolingLayerInfo</a> &pool_info = node.<a class="code" href="classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a51a2c95a0b98cf92e99d06672db84060">pooling_info</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>  <span class="comment">// Validate function</span></div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">ROIAlignLayer::validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, rois, output, pool_info);</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"></span></div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span> <span class="comment">/** Validates a Slice layer node</span></div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span> <span class="comment"> *</span></div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span> <span class="comment"> * @tparam SliceLayer Slice layer function type</span></div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span> <span class="comment"> *</span></div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span> <span class="comment"> * @param[in] node Node to validate</span></div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span> <span class="comment"> *</span></div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span> <span class="comment"> * @return Status</span></div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span> <span class="comment"> */</span></div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span> <span class="keyword">template</span> <<span class="keyword">typename</span> SliceLayer></div><div class="line"><a name="l00523"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a3c749cc534b2801f46ec56d78abc7fef"> 523</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a3c749cc534b2801f46ec56d78abc7fef">validate_slice_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_slice_layer_node.xhtml">SliceLayerNode</a> &node)</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span> {</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating Slice node with ID : "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>() << <span class="stringliteral">" and Name: "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>() << std::endl);</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">num_inputs</a>() != 1);</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>() != 1);</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>  <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a> = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> starts = node.<a class="code" href="classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a476f08a0729f8861bec63b7e62c7b514">starts</a>();</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> ends = node.<a class="code" href="classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a836dbfcb541878d045cac29f9b35d5cb">ends</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>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">SliceLayer::validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, output, starts, ends);</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span> }</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span> <span class="comment"></span></div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span> <span class="comment">/** Validates a Upsample layer node</span></div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span> <span class="comment"> *</span></div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span> <span class="comment"> * @tparam UpsampleLayer Upsample layer type</span></div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span> <span class="comment"> *</span></div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span> <span class="comment"> * @param[in] node Node to validate</span></div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span> <span class="comment"> *</span></div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span> <span class="comment"> * @return Status</span></div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span> <span class="comment"> */</span></div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span> <span class="keyword">template</span> <<span class="keyword">typename</span> UpsampleLayer></div><div class="line"><a name="l00547"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a8396c4dda471ae2dc627e25adfbe1bcf"> 547</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a8396c4dda471ae2dc627e25adfbe1bcf">validate_upsample_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml">UpsampleLayerNode</a> &node)</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span> {</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating UpsampleLayer node with ID : "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>() << <span class="stringliteral">" and Name: "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>() << std::endl);</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">num_inputs</a>() != 1);</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>() != 1);</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">// Extract input and output</span></div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a> = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span> </div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="comment">// Validate function</span></div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">UpsampleLayer::validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, output, node.<a class="code" href="classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#aa7260d3e156a747cfa5ea5f2173ef3df">info</a>(), node.<a class="code" href="classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#a8e71fc913825230e6e26af0242260ce4">upsampling_policy</a>());</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span> }<span class="comment"></span></div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span> <span class="comment">/** Validates a YOLO layer node</span></div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span> <span class="comment"> *</span></div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span> <span class="comment"> * @tparam YOLOLayer YOLO layer type</span></div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span> <span class="comment"> *</span></div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span> <span class="comment"> * @param[in] node Node to validate</span></div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span> <span class="comment"> *</span></div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span> <span class="comment"> * @return Status</span></div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span> <span class="comment"> */</span></div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span> <span class="keyword">template</span> <<span class="keyword">typename</span> YOLOLayer></div><div class="line"><a name="l00569"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a7ef4fa6499c747d322a74136249afa6b"> 569</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a7ef4fa6499c747d322a74136249afa6b">validate_yolo_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml">YOLOLayerNode</a> &node)</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>  <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">"Validating YOLOLayer node with ID : "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>() << <span class="stringliteral">" and Name: "</span> << node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>() << std::endl);</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">num_inputs</a>() != 1);</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>() != 1);</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span> </div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="comment">// Extract input and output</span></div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a> = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">detail::get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0));</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *output = <a class="code" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">get_backing_tensor_info</a>(node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0));</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span> </div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  <span class="comment">// Validate function</span></div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">YOLOLayer::validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, output, node.<a class="code" href="classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#a39a8dd296461705ee5cb54eacb4b2818">activation_info</a>(), node.<a class="code" href="classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#adb962dd0e5ae700a7ab8b64a437aea2a">num_classes</a>());</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span> }</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span> } <span class="comment">// namespace detail</span></div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span> } <span class="comment">// namespace backends</span></div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span> } <span class="comment">// namespace graph</span></div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span> </div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span> <span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_GRAPH_BACKENDS_DETAIL_VALIDATE_HELPERS_H */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a1d89c28bd42ba9a52da008bb69367171"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">arm_compute::graph::INode::name</a></div><div class="ttdeci">std::string name() const</div><div class="ttdoc">Returns node's name.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00107">INode.cpp:107</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a40f232193e819dfc9dc9edbabefd5b7a"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a40f232193e819dfc9dc9edbabefd5b7a">arm_compute::graph::backends::detail::validate_generate_proposals_layer</a></div><div class="ttdeci">Status validate_generate_proposals_layer(GenerateProposalsLayerNode &node)</div><div class="ttdoc">Validates a Generate Proposals layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00284">ValidateHelpers.h:284</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_upsample_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml">arm_compute::graph::UpsampleLayerNode</a></div><div class="ttdoc">Upsample Layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_upsample_layer_node_8h_source.xhtml#l00034">UpsampleLayerNode.h:34</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a94ce5eb74599047cd5f8b735e2464d12"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a94ce5eb74599047cd5f8b735e2464d12">arm_compute::graph::backends::detail::validate_bounding_box_transform_layer</a></div><div class="ttdeci">Status validate_bounding_box_transform_layer(BoundingBoxTransformLayerNode &node)</div><div class="ttdoc">Validates a Bounding Box Transform layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00064">ValidateHelpers.h:64</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="namespacearm__compute_1_1graph_xhtml_a683661ae75dcb7aef16b9c9bde31517dafd1dd0c603be8170f9eae0be9f2f6afb"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517dafd1dd0c603be8170f9eae0be9f2f6afb">arm_compute::graph::ConvolutionMethod::Direct</a></div><div class="ttdoc">Deep direct convolution.</div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_reorg_layer_node_xhtml_a47d010db0ab9940009209db7cf529f36"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml#a47d010db0ab9940009209db7cf529f36">arm_compute::graph::ReorgLayerNode::stride</a></div><div class="ttdeci">int stride() const</div><div class="ttdoc">Stride value to use for reorganizing the values in the output tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_reorg_layer_node_8cpp_source.xhtml#l00041">ReorgLayerNode.cpp:41</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_r_o_i_align_layer_node_xhtml_a51a2c95a0b98cf92e99d06672db84060"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_r_o_i_align_layer_node.xhtml#a51a2c95a0b98cf92e99d06672db84060">arm_compute::graph::ROIAlignLayerNode::pooling_info</a></div><div class="ttdeci">const ROIPoolingLayerInfo & pooling_info() const</div><div class="ttdoc">ROIPoolingLayerInfo accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_r_o_i_align_layer_node_8cpp_source.xhtml#l00043">ROIAlignLayerNode.cpp:43</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_aeb6f53f28ef137932823d17554043056"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#aeb6f53f28ef137932823d17554043056">arm_compute::graph::backends::detail::validate_permute_layer</a></div><div class="ttdeci">Status validate_permute_layer(PermuteLayerNode &node)</div><div class="ttdoc">Validates a permute layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00359">ValidateHelpers.h:359</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="classarm__compute_1_1graph_1_1_tensor_xhtml_a45c1ef0023ce430d009ec79c97761544"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_tensor.xhtml#a45c1ef0023ce430d009ec79c97761544">arm_compute::graph::Tensor::handle</a></div><div class="ttdeci">ITensorHandle * handle()</div><div class="ttdoc">Backend tensor handle accessor.</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_tensor_8cpp_source.xhtml#l00055">Tensor.cpp:55</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a9785ffbaaa220b6725a93a6f7f3145ca"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9785ffbaaa220b6725a93a6f7f3145ca">arm_compute::graph::backends::detail::get_backing_tensor_info</a></div><div class="ttdeci">arm_compute::ITensorInfo * get_backing_tensor_info(arm_compute::graph::Tensor *tensor)</div><div class="ttdoc">Returns backing tensor info of a given tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00050">ValidateHelpers.h:50</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_convolution_layer_node_xhtml_a807d0a897f65b2fa1f8ea92892fa2c2a"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a807d0a897f65b2fa1f8ea92892fa2c2a">arm_compute::graph::ConvolutionLayerNode::fast_math_hint</a></div><div class="ttdeci">FastMathHint fast_math_hint() const</div><div class="ttdoc">Fast math hint accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution_layer_node_8cpp_source.xhtml#l00061">ConvolutionLayerNode.cpp:61</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node_xhtml_a88e38a50a2e964b19521fe8f2e9a144f"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a88e38a50a2e964b19521fe8f2e9a144f">arm_compute::graph::DepthwiseConvolutionLayerNode::depth_multiplier</a></div><div class="ttdeci">int depth_multiplier() const</div><div class="ttdoc">Depth multiplier accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution_layer_node_8cpp_source.xhtml#l00043">DepthwiseConvolutionLayerNode.cpp:43</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_channel_shuffle_layer_node_xhtml_a984881c2c9e6de259af8fcd4ecbc4d80"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a984881c2c9e6de259af8fcd4ecbc4d80">arm_compute::graph::ChannelShuffleLayerNode::num_groups</a></div><div class="ttdeci">unsigned int num_groups() const</div><div class="ttdoc">Number of groups accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_channel_shuffle_layer_node_8cpp_source.xhtml#l00040">ChannelShuffleLayerNode.cpp:40</a></div></div> |
| <div class="ttc" id="arm__compute_2graph_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2graph_2_types_8h.xhtml">Types.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a75d7c8bdf0059bb235880f8ef8d190bc"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">arm_compute::graph::INode::num_outputs</a></div><div class="ttdeci">size_t num_outputs() const</div><div class="ttdoc">Returns number of outputs of the node.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00183">INode.cpp:183</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_i_tensor_handle_xhtml_a91efb5b2e262ec5e55059ff1fd9accc6"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_tensor_handle.xhtml#a91efb5b2e262ec5e55059ff1fd9accc6">arm_compute::graph::ITensorHandle::tensor</a></div><div class="ttdeci">virtual arm_compute::ITensor & tensor()=0</div><div class="ttdoc">Backend tensor object accessor.</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="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a5f83a0fbf23529c0f205c6732b3c8312"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a5f83a0fbf23529c0f205c6732b3c8312">arm_compute::graph::backends::detail::validate_prelu_layer</a></div><div class="ttdeci">Status validate_prelu_layer(PReluLayerNode &node)</div><div class="ttdoc">Validates a PRelu layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00382">ValidateHelpers.h:382</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a9c20f659744b7e6854294198184c60f1"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a9c20f659744b7e6854294198184c60f1">arm_compute::graph::backends::detail::validate_detection_post_process_layer</a></div><div class="ttdeci">Status validate_detection_post_process_layer(DetectionPostProcessLayerNode &node)</div><div class="ttdoc">Validates a detection post process layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00256">ValidateHelpers.h:256</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_permute_layer_node_xhtml_a509cfef89595612c50bce4ef1eae181b"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#a509cfef89595612c50bce4ef1eae181b">arm_compute::graph::PermuteLayerNode::permutation_vector</a></div><div class="ttdeci">const PermutationVector & permutation_vector() const</div><div class="ttdoc">Permutation vector accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_permute_layer_node_8cpp_source.xhtml#l00042">PermuteLayerNode.cpp:42</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_ac85a46f3ebd3ab09f576a994ac2dce11a00d23a76e43b46dae9ec7aa9dcbebb32"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#ac85a46f3ebd3ab09f576a994ac2dce11a00d23a76e43b46dae9ec7aa9dcbebb32">arm_compute::graph::FastMathHint::Enabled</a></div><div class="ttdoc">Fast math enabled for Convolution layer.</div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_reorg_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_reorg_layer_node.xhtml">arm_compute::graph::ReorgLayerNode</a></div><div class="ttdoc">Reorg Layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_reorg_layer_node_8h_source.xhtml#l00034">ReorgLayerNode.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node_xhtml_a8cefd89d2de49691e778c8d5a08ac92f"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a8cefd89d2de49691e778c8d5a08ac92f">arm_compute::graph::DepthwiseConvolutionLayerNode::depthwise_convolution_method</a></div><div class="ttdeci">DepthwiseConvolutionMethod depthwise_convolution_method() const</div><div class="ttdoc">Depthwise convolution layer method accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution_layer_node_8cpp_source.xhtml#l00053">DepthwiseConvolutionLayerNode.cpp:53</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00052">Error.h:52</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_slice_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_slice_layer_node.xhtml">arm_compute::graph::SliceLayerNode</a></div><div class="ttdoc">Slice Layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_slice_layer_node_8h_source.xhtml#l00036">SliceLayerNode.h:36</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_permute_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_permute_layer_node.xhtml">arm_compute::graph::PermuteLayerNode</a></div><div class="ttdoc">Permute Layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_permute_layer_node_8h_source.xhtml#l00034">PermuteLayerNode.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_convolution_layer_node_xhtml_a984881c2c9e6de259af8fcd4ecbc4d80"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a984881c2c9e6de259af8fcd4ecbc4d80">arm_compute::graph::ConvolutionLayerNode::num_groups</a></div><div class="ttdeci">unsigned int num_groups() const</div><div class="ttdoc">Number of groups in convolution accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution_layer_node_8cpp_source.xhtml#l00071">ConvolutionLayerNode.cpp:71</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2020 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_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="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a3c749cc534b2801f46ec56d78abc7fef"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a3c749cc534b2801f46ec56d78abc7fef">arm_compute::graph::backends::detail::validate_slice_layer</a></div><div class="ttdeci">Status validate_slice_layer(SliceLayerNode &node)</div><div class="ttdoc">Validates a Slice layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00523">ValidateHelpers.h:523</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="classarm__compute_1_1graph_1_1_pad_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_pad_layer_node.xhtml">arm_compute::graph::PadLayerNode</a></div><div class="ttdoc">Pad Layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_pad_layer_node_8h_source.xhtml#l00034">PadLayerNode.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_weights_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_weights_info.xhtml">arm_compute::WeightsInfo</a></div><div class="ttdoc">Convolution Layer Weights Information class.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01757">Types.h:1757</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="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a4451f539afe63a19da3d17ee95582277"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a4451f539afe63a19da3d17ee95582277">arm_compute::graph::backends::detail::validate_reorg_layer</a></div><div class="ttdeci">Status validate_reorg_layer(ReorgLayerNode &node)</div><div class="ttdoc">Validates a Reorg layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00452">ValidateHelpers.h:452</a></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="namespacearm__compute_1_1graph_xhtml_a683661ae75dcb7aef16b9c9bde31517da5174aac3927faa9ee34befb7fc87a9e3"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517da5174aac3927faa9ee34befb7fc87a9e3">arm_compute::graph::ConvolutionMethod::GEMM</a></div><div class="ttdoc">GEMM based convolution.</div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_pad_layer_node_xhtml_af98c64901f2fef6b6e26563bbb358f7e"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_pad_layer_node.xhtml#af98c64901f2fef6b6e26563bbb358f7e">arm_compute::graph::PadLayerNode::padding</a></div><div class="ttdeci">const PaddingList & padding() const</div><div class="ttdoc">Padding list accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_pad_layer_node_8cpp_source.xhtml#l00042">PadLayerNode.cpp:42</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a432fd13bfda1435e0d3a8aa5b3dddf4f"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a432fd13bfda1435e0d3a8aa5b3dddf4f">arm_compute::graph::backends::detail::validate_detection_output_layer</a></div><div class="ttdeci">Status validate_detection_output_layer(DetectionOutputLayerNode &node)</div><div class="ttdoc">Validates a detection output layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00232">ValidateHelpers.h:232</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_upsample_layer_node_xhtml_aa7260d3e156a747cfa5ea5f2173ef3df"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#aa7260d3e156a747cfa5ea5f2173ef3df">arm_compute::graph::UpsampleLayerNode::info</a></div><div class="ttdeci">Size2D info() const</div><div class="ttdoc">Stride info metadata accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_upsample_layer_node_8cpp_source.xhtml#l00041">UpsampleLayerNode.cpp:41</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_quantization_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_quantization_layer_node.xhtml">arm_compute::graph::QuantizationLayerNode</a></div><div class="ttdoc">Quantization Layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_layer_node_8h_source.xhtml#l00034">QuantizationLayerNode.h:34</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a366fca5f1c0a2ed6ee50e9d619d4f2e5"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a366fca5f1c0a2ed6ee50e9d619d4f2e5">arm_compute::graph::backends::detail::validate_roi_align_layer</a></div><div class="ttdeci">Status validate_roi_align_layer(ROIAlignLayerNode &node)</div><div class="ttdoc">Validates a ROI Align layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00498">ValidateHelpers.h:498</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a27369471d9b2ba47746e1e923f585b9f"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">arm_compute::graph::INode::output</a></div><div class="ttdeci">Tensor * output(size_t idx) const</div><div class="ttdoc">Returns the tensor of a given output of the node.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00158">INode.cpp:158</a></div></div> |
| <div class="ttc" id="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="classarm__compute_1_1graph_1_1_dequantization_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_dequantization_layer_node.xhtml">arm_compute::graph::DequantizationLayerNode</a></div><div class="ttdoc">Dequantize Layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_dequantization_layer_node_8h_source.xhtml#l00038">DequantizationLayerNode.h:38</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="classarm__compute_1_1graph_1_1_y_o_l_o_layer_node_xhtml_adb962dd0e5ae700a7ab8b64a437aea2a"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#adb962dd0e5ae700a7ab8b64a437aea2a">arm_compute::graph::YOLOLayerNode::num_classes</a></div><div class="ttdeci">int32_t num_classes() const</div><div class="ttdoc">Number of classes metadata accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_y_o_l_o_layer_node_8cpp_source.xhtml#l00046">YOLOLayerNode.cpp:46</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_slice_layer_node_xhtml_a476f08a0729f8861bec63b7e62c7b514"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a476f08a0729f8861bec63b7e62c7b514">arm_compute::graph::SliceLayerNode::starts</a></div><div class="ttdeci">Coordinates starts() const</div><div class="ttdoc">Start coordinates accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_slice_layer_node_8cpp_source.xhtml#l00042">SliceLayerNode.cpp:42</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_detection_post_process_layer_node_xhtml_a23ab280af362e61b91763038fc3194f4"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_detection_post_process_layer_node.xhtml#a23ab280af362e61b91763038fc3194f4">arm_compute::graph::DetectionPostProcessLayerNode::detection_post_process_info</a></div><div class="ttdeci">DetectionPostProcessLayerInfo detection_post_process_info() const</div><div class="ttdoc">DetectionPostProcess metadata accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_node_8cpp_source.xhtml#l00042">DetectionPostProcessLayerNode.cpp:42</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_slice_layer_node_xhtml_a836dbfcb541878d045cac29f9b35d5cb"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_slice_layer_node.xhtml#a836dbfcb541878d045cac29f9b35d5cb">arm_compute::graph::SliceLayerNode::ends</a></div><div class="ttdeci">Coordinates ends() const</div><div class="ttdoc">End coordinates accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_slice_layer_node_8cpp_source.xhtml#l00047">SliceLayerNode.cpp:47</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node_xhtml_ad087f1f9aa1e444236911adf6c57df04"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#ad087f1f9aa1e444236911adf6c57df04">arm_compute::graph::DepthwiseConvolutionLayerNode::convolution_info</a></div><div class="ttdeci">PadStrideInfo convolution_info() const</div><div class="ttdoc">Convolution metadata accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution_layer_node_8cpp_source.xhtml#l00058">DepthwiseConvolutionLayerNode.cpp:58</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a5ea90a25ef8059df2d2e51b82991ebf3"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">arm_compute::graph::INode::id</a></div><div class="ttdeci">NodeID id() const</div><div class="ttdoc">Returns node's ID.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00102">INode.cpp:102</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_ad4cb768bba67e8ccb02d0903da459ecb"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ad4cb768bba67e8ccb02d0903da459ecb">arm_compute::graph::backends::detail::validate_reshape_layer</a></div><div class="ttdeci">Status validate_reshape_layer(ReshapeLayerNode &node)</div><div class="ttdoc">Validates a Reshape layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00475">ValidateHelpers.h:475</a></div></div> |
| <div class="ttc" id="graph_2_tensor_8h_xhtml"><div class="ttname"><a href="graph_2_tensor_8h.xhtml">Tensor.h</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="_i_tensor_info_8h_xhtml"><div class="ttname"><a href="_i_tensor_info_8h.xhtml">ITensorInfo.h</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml"><div class="ttname"><a href="graph_2_logger_8h.xhtml">Logger.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_channel_shuffle_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml">arm_compute::graph::ChannelShuffleLayerNode</a></div><div class="ttdoc">Channel Shuffle Layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_channel_shuffle_layer_node_8h_source.xhtml#l00034">ChannelShuffleLayerNode.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_reshape_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_reshape_layer_node.xhtml">arm_compute::graph::ReshapeLayerNode</a></div><div class="ttdoc">Reshape Layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_reshape_layer_node_8h_source.xhtml#l00034">ReshapeLayerNode.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_convolution_layer_node_xhtml_ad087f1f9aa1e444236911adf6c57df04"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#ad087f1f9aa1e444236911adf6c57df04">arm_compute::graph::ConvolutionLayerNode::convolution_info</a></div><div class="ttdeci">PadStrideInfo convolution_info() const</div><div class="ttdoc">Convolution metadata accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution_layer_node_8cpp_source.xhtml#l00066">ConvolutionLayerNode.cpp:66</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml">arm_compute::PadStrideInfo</a></div><div class="ttdoc">Padding and stride information class.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00686">Types.h:686</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_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_detection_output_layer_node_xhtml_a4491336dccd18464fbbf617c981736cf"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_detection_output_layer_node.xhtml#a4491336dccd18464fbbf617c981736cf">arm_compute::graph::DetectionOutputLayerNode::detection_output_info</a></div><div class="ttdeci">DetectionOutputLayerInfo detection_output_info() const</div><div class="ttdoc">DetectionOutput metadata accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_output_layer_node_8cpp_source.xhtml#l00042">DetectionOutputLayerNode.cpp:42</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_ada206e294c8d07093a8a50e08172c272"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ada206e294c8d07093a8a50e08172c272">arm_compute::graph::backends::detail::validate_pad_layer</a></div><div class="ttdeci">Status validate_pad_layer(PadLayerNode &node)</div><div class="ttdoc">Validates a pad layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00336">ValidateHelpers.h:336</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml"><div class="ttname"><a href="_error_8h.xhtml">Error.h</a></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_1_i_tensor_info_xhtml_a9ebcdce876b4cd07736afa47d50154de"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a9ebcdce876b4cd07736afa47d50154de">arm_compute::ITensorInfo::set_data_type</a></div><div class="ttdeci">virtual ITensorInfo & set_data_type(DataType data_type)=0</div><div class="ttdoc">Set the data type to the specified value.</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a891884386a167090b520930b164870f9"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a891884386a167090b520930b164870f9">arm_compute::graph::backends::detail::validate_dequantization_layer</a></div><div class="ttdeci">Status validate_dequantization_layer(DequantizationLayerNode &node)</div><div class="ttdoc">Validates a dequantize layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00211">ValidateHelpers.h:211</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_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_convolution_layer_node_xhtml_a16b2c6652c4cee5b566daf018f768a42"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a16b2c6652c4cee5b566daf018f768a42">arm_compute::graph::ConvolutionLayerNode::convolution_method</a></div><div class="ttdeci">ConvolutionMethod convolution_method() const</div><div class="ttdoc">Convolution layer method accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution_layer_node_8cpp_source.xhtml#l00051">ConvolutionLayerNode.cpp:51</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_bounding_box_transform_layer_node_xhtml_a7a5bf7cea9e9cf19a6cf3e5240c5fff7"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_bounding_box_transform_layer_node.xhtml#a7a5bf7cea9e9cf19a6cf3e5240c5fff7">arm_compute::graph::BoundingBoxTransformLayerNode::info</a></div><div class="ttdeci">const BoundingBoxTransformInfo & info() const</div><div class="ttdoc">BoundingBoxTransformInfo accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_bounding_box_transform_layer_node_8cpp_source.xhtml#l00042">BoundingBoxTransformLayerNode.cpp:42</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a9561091f3566e78ad3aa39259bc4126a"><div class="ttname"><a href="_error_8h.xhtml#a9561091f3566e78ad3aa39259bc4126a">ARM_COMPUTE_RETURN_ERROR_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_MSG(...)</div><div class="ttdoc">An error is returned with the given description.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00194">Error.h:194</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="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a76682a55960d790a11357ab922a5d659"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a76682a55960d790a11357ab922a5d659">arm_compute::graph::backends::detail::validate_priorbox_layer</a></div><div class="ttdeci">Status validate_priorbox_layer(PriorBoxLayerNode &node)</div><div class="ttdoc">Validates a priorbox layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00405">ValidateHelpers.h:405</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_y_o_l_o_layer_node_xhtml_a39a8dd296461705ee5cb54eacb4b2818"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml#a39a8dd296461705ee5cb54eacb4b2818">arm_compute::graph::YOLOLayerNode::activation_info</a></div><div class="ttdeci">ActivationLayerInfo activation_info() const</div><div class="ttdoc">Activation metadata accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_y_o_l_o_layer_node_8cpp_source.xhtml#l00041">YOLOLayerNode.cpp:41</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a959fdd41c94dde46a21dd2bf6d50c48b"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a959fdd41c94dde46a21dd2bf6d50c48b">arm_compute::graph::backends::detail::validate_quantization_layer</a></div><div class="ttdeci">Status validate_quantization_layer(QuantizationLayerNode &node)</div><div class="ttdoc">Validates a Quantization layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00429">ValidateHelpers.h:429</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_y_o_l_o_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_y_o_l_o_layer_node.xhtml">arm_compute::graph::YOLOLayerNode</a></div><div class="ttdoc">YOLO Layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_y_o_l_o_layer_node_8h_source.xhtml#l00034">YOLOLayerNode.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_r_o_i_pooling_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_r_o_i_pooling_layer_info.xhtml">arm_compute::ROIPoolingLayerInfo</a></div><div class="ttdoc">ROI Pooling Layer Information class.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01374">Types.h:1374</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="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_ab4632d71bdb4542008ad33b7b74b7b2c"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ab4632d71bdb4542008ad33b7b74b7b2c">arm_compute::graph::backends::detail::validate_channel_shuffle_layer</a></div><div class="ttdeci">Status validate_channel_shuffle_layer(ChannelShuffleLayerNode &node)</div><div class="ttdoc">Validates a Channel Shuffle layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00088">ValidateHelpers.h:88</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_upsample_layer_node_xhtml_a8e71fc913825230e6e26af0242260ce4"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_upsample_layer_node.xhtml#a8e71fc913825230e6e26af0242260ce4">arm_compute::graph::UpsampleLayerNode::upsampling_policy</a></div><div class="ttdeci">InterpolationPolicy upsampling_policy() const</div><div class="ttdoc">Upsampling policy metadata accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_upsample_layer_node_8cpp_source.xhtml#l00046">UpsampleLayerNode.cpp:46</a></div></div> |
| <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</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="classarm__compute_1_1graph_1_1_i_node_xhtml_abe0cb3e4411a1c289e3e40e3f9d79fec"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#abe0cb3e4411a1c289e3e40e3f9d79fec">arm_compute::graph::INode::num_inputs</a></div><div class="ttdeci">size_t num_inputs() const</div><div class="ttdoc">Returns number of inputs of the node.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00178">INode.cpp:178</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00188">ConvolutionLayer.cpp:188</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_generate_proposals_layer_node_xhtml_acfa649555ddb4df4cc5ae52b8205ee5f"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_generate_proposals_layer_node.xhtml#acfa649555ddb4df4cc5ae52b8205ee5f">arm_compute::graph::GenerateProposalsLayerNode::info</a></div><div class="ttdeci">const GenerateProposalsInfo & info() const</div><div class="ttdoc">GenerateProposalsInfo accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_generate_proposals_layer_node_8cpp_source.xhtml#l00042">GenerateProposalsLayerNode.cpp:42</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a1c69762a42ab8add645d0a949b6f4b1f"><div class="ttname"><a href="_error_8h.xhtml#a1c69762a42ab8add645d0a949b6f4b1f">ARM_COMPUTE_RETURN_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_MSG(cond, msg)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div> |
| <div class="ttc" id="classarm__compute_1_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="namespacearm__compute_1_1graph_xhtml_a75ce9b1baad4303a53124d6f0795821fa7a1920d61156abc05a60135aefe8bc67"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa7a1920d61156abc05a60135aefe8bc67">arm_compute::graph::DepthwiseConvolutionMethod::Default</a></div><div class="ttdoc">Default approach using internal heuristics.</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_acdd027e9c5015bdd7102c142b553f222"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#acdd027e9c5015bdd7102c142b553f222">arm_compute::graph::backends::detail::validate_depthwise_convolution_layer</a></div><div class="ttdeci">Status validate_depthwise_convolution_layer(DepthwiseConvolutionLayerNode &node)</div><div class="ttdoc">Validates a Depthwise Convolution layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00172">ValidateHelpers.h:172</a></div></div> |
| <div class="ttc" id="arm__compute_2core_2_helpers_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_helpers_8h.xhtml">Helpers.h</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="namespacearm__compute_1_1graph_xhtml_a683661ae75dcb7aef16b9c9bde31517da7a1920d61156abc05a60135aefe8bc67"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517da7a1920d61156abc05a60135aefe8bc67">arm_compute::graph::ConvolutionMethod::Default</a></div><div class="ttdoc">Default approach using internal heuristics.</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a84a36a0cae1ceb4313891ca841b11cb3"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a84a36a0cae1ceb4313891ca841b11cb3">arm_compute::graph::backends::detail::validate_convolution_layer</a></div><div class="ttdeci">Status validate_convolution_layer(ConvolutionLayerNode &node)</div><div class="ttdoc">Validates a Convolution layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00114">ValidateHelpers.h:114</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a683661ae75dcb7aef16b9c9bde31517da09db1dd1078ec6bdbe2722b4558e578f"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517da09db1dd1078ec6bdbe2722b4558e578f">arm_compute::graph::ConvolutionMethod::Winograd</a></div><div class="ttdoc">Winograd based convolution.</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a75ce9b1baad4303a53124d6f0795821fa3bb7b7f3f021a006e65111fc1d226938"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa3bb7b7f3f021a006e65111fc1d226938">arm_compute::graph::DepthwiseConvolutionMethod::Optimized3x3</a></div><div class="ttdoc">Optimized 3x3 direct depthwise convolution.</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4f4125dba5283887b34f889b1c615c0c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">arm_compute::test::validation::info</a></div><div class="ttdeci">info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00182">ConvolutionLayer.cpp:182</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_ad7c09b0faaf3c808b0489012204852a9"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">arm_compute::graph::INode::input</a></div><div class="ttdeci">Tensor * input(size_t idx) const</div><div class="ttdoc">Returns the tensor of a given input of the node.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00150">INode.cpp:150</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a8396c4dda471ae2dc627e25adfbe1bcf"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a8396c4dda471ae2dc627e25adfbe1bcf">arm_compute::graph::backends::detail::validate_upsample_layer</a></div><div class="ttdeci">Status validate_upsample_layer(UpsampleLayerNode &node)</div><div class="ttdoc">Validates a Upsample layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00547">ValidateHelpers.h:547</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_1_1graph_1_1backends_1_1detail_xhtml_ad6c95a270f3275bd5711ce6ec193c4ff"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ad6c95a270f3275bd5711ce6ec193c4ff">arm_compute::graph::backends::detail::validate_normalize_planar_yuv_layer</a></div><div class="ttdeci">Status validate_normalize_planar_yuv_layer(NormalizePlanarYUVLayerNode &node)</div><div class="ttdoc">Validates a NormalizePlanarYUV layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00311">ValidateHelpers.h:311</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_prior_box_layer_node_xhtml_a0f62f59c57a7cdbdc20f7d850f1dfd8c"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_prior_box_layer_node.xhtml#a0f62f59c57a7cdbdc20f7d850f1dfd8c">arm_compute::graph::PriorBoxLayerNode::priorbox_info</a></div><div class="ttdeci">PriorBoxLayerInfo priorbox_info() const</div><div class="ttdoc">PriorBox metadata accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_prior_box_layer_node_8cpp_source.xhtml#l00042">PriorBoxLayerNode.cpp:42</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a4feaaa70771629f4b5dcf3b219c8b647"><div class="ttname"><a href="namespacearm__compute.xhtml#a4feaaa70771629f4b5dcf3b219c8b647">arm_compute::validate</a></div><div class="ttdeci">Status validate(const ITensorInfo *scores_in, const ITensorInfo *boxes_in, const ITensorInfo *batch_splits_in, const ITensorInfo *scores_out, const ITensorInfo *boxes_out, const ITensorInfo *classes, const ITensorInfo *batch_splits_out, const ITensorInfo *keeps, const ITensorInfo *keeps_size, const BoxNMSLimitInfo info)</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_box_with_non_maxima_suppression_limit_8cpp_source.xhtml#l00196">CPPBoxWithNonMaximaSuppressionLimit.cpp:196</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a7ef4fa6499c747d322a74136249afa6b"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a7ef4fa6499c747d322a74136249afa6b">arm_compute::graph::backends::detail::validate_yolo_layer</a></div><div class="ttdeci">Status validate_yolo_layer(YOLOLayerNode &node)</div><div class="ttdoc">Validates a YOLO layer node.</div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00569">ValidateHelpers.h:569</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_tensor.xhtml">arm_compute::graph::Tensor</a></div><div class="ttdoc">Tensor object.</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_tensor_8h_source.xhtml#l00041">Tensor.h:41</a></div></div> |
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| <li class="navelem"><a class="el" href="dir_214608ef36d61442cb2b0c1c4e9a7def.xhtml">arm_compute</a></li><li class="navelem"><a class="el" href="dir_99ae3712d1eecd2a93fc4d38b59a99ba.xhtml">graph</a></li><li class="navelem"><a class="el" href="dir_59b2231210c554f4cc243709030bf1f8.xhtml">backends</a></li><li class="navelem"><a class="el" href="_validate_helpers_8h.xhtml">ValidateHelpers.h</a></li> |
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