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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>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#ifndef __ARM_COMPUTE_GRAPH_BACKENDS_DETAIL_VALIDATE_HELPERS_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<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>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="graph_2_logger_8h.xhtml">arm_compute/graph/Logger.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="graph_2_tensor_8h.xhtml">arm_compute/graph/Tensor.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2graph_2_types_8h.xhtml">arm_compute/graph/Types.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_nodes_8h.xhtml">arm_compute/graph/nodes/Nodes.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_error_8h.xhtml">arm_compute/core/Error.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_helpers_8h.xhtml">arm_compute/core/Helpers.h</a>&quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_tensor_info_8h.xhtml">arm_compute/core/ITensorInfo.h</a>&quot;</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<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>&#160;{</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="keyword">namespace </span>graph</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;{</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="keyword">namespace </span>backends</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;{</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;<span class="keyword">namespace </span>detail</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;{</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>&#160;<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>&#160;{</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keywordflow">return</span> ((tensor == <span class="keyword">nullptr</span>) || (tensor-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a1a4fd35b8e2e8a2c7ea38b6d37508673">handle</a>() == <span class="keyword">nullptr</span>)) ? <span class="keyword">nullptr</span> : tensor-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a1a4fd35b8e2e8a2c7ea38b6d37508673">handle</a>()-&gt;<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>&#160;}</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> ChannelShuffleLayer&gt;</div><div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#ab4632d71bdb4542008ad33b7b74b7b2c"> 64</a></span>&#160;<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> &amp;node)</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;{</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">&quot;Validating ChannelShuffle node with ID : &quot;</span> &lt;&lt; node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ac2073f3ae2a49f98a91315ed035f8669">id</a>() &lt;&lt; <span class="stringliteral">&quot; and Name: &quot;</span> &lt;&lt; node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">name</a>() &lt;&lt; std::endl);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <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#a7db9a1c221b414ff11bd4a5b7b97ec8d">num_inputs</a>() != 1);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <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#a20ee33c4a581d8d3507dbb898d47d733">num_outputs</a>() != 1);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input = <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#ac6dfcf4c1c7d4cb129fda6393e8c0b21">input</a>(0));</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <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#a427ac30d0f5274436afbf5c78bc4f644">output</a>(0));</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_groups = node.<a class="code" href="classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a8dcb6000a40ebf3e3ced2bdb0fc496a8">num_groups</a>();</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adace45051d8e72357da6c2b18ceaf25e">ChannelShuffleLayer::validate</a>(input, output, num_groups);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;}</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> ConvolutionLayer, <span class="keyword">typename</span> DirectConvolutionLayer, <span class="keyword">typename</span> GEMMConvolutionLayer, <span class="keyword">typename</span> WinogradConvolutionLayer&gt;</div><div class="line"><a name="l00090"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a84a36a0cae1ceb4313891ca841b11cb3"> 90</a></span>&#160;<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> &amp;node)</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;{</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">&quot;Validating ConvolutionLayer node with ID : &quot;</span> &lt;&lt; node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ac2073f3ae2a49f98a91315ed035f8669">id</a>() &lt;&lt; <span class="stringliteral">&quot; and Name: &quot;</span> &lt;&lt; node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">name</a>() &lt;&lt; std::endl);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <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#a7db9a1c221b414ff11bd4a5b7b97ec8d">num_inputs</a>() != 3);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <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#a20ee33c4a581d8d3507dbb898d47d733">num_outputs</a>() != 1);</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input = <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#ac6dfcf4c1c7d4cb129fda6393e8c0b21">input</a>(0));</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *weights = <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#ac6dfcf4c1c7d4cb129fda6393e8c0b21">input</a>(1));</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <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#ac6dfcf4c1c7d4cb129fda6393e8c0b21">input</a>(2));</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <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#a427ac30d0f5274436afbf5c78bc4f644">output</a>(0));</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute.xhtml#a14f46283f316e7f0fad301d5c1507e9f">is_data_type_quantized_asymmetric</a>(input-&gt;data_type()))</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; {</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; biases-&gt;<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="l00105"></a><span class="lineno"> 105</span>&#160; }</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <span class="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#acbf8f8a6dd185de04c1981c57a8963cf">conv_info</a> = node.<a class="code" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#af8bae150bf98eca8fe0fa86eba1c82e7">convolution_info</a>();</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <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#a1e41ff600f64885f7594756f39ff8af3">convolution_method</a>();</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <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#a5d23729a29c27170ce6607223a5e47a0">fast_math_hint</a>() == <a class="code" href="namespacearm__compute_1_1graph.xhtml#ac85a46f3ebd3ab09f576a994ac2dce11a00d23a76e43b46dae9ec7aa9dcbebb32">FastMathHint::Enabled</a>;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_groups = node.<a class="code" href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a8dcb6000a40ebf3e3ced2bdb0fc496a8">num_groups</a>();</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="comment">// Validate function</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> status{};</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <span class="keywordflow">switch</span>(conv_algorithm)</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; {</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517dafd1dd0c603be8170f9eae0be9f2f6afb">ConvolutionMethod::Direct</a>:</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <a class="code" href="_error_8h.xhtml#a86084036bd3851575ef871ad5bf079a7">ARM_COMPUTE_RETURN_ERROR_ON_MSG</a>(num_groups != 1, <span class="stringliteral">&quot;DirectConvolutionLayer does not support grouping!&quot;</span>);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; status = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adace45051d8e72357da6c2b18ceaf25e">DirectConvolutionLayer::validate</a>(input, weights, biases, output, conv_info);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517da5174aac3927faa9ee34befb7fc87a9e3">ConvolutionMethod::GEMM</a>:</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; status = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adace45051d8e72357da6c2b18ceaf25e">GEMMConvolutionLayer::validate</a>(input, weights, biases, output, conv_info,</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <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>(), num_groups);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517da09db1dd1078ec6bdbe2722b4558e578f">ConvolutionMethod::Winograd</a>:</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <a class="code" href="_error_8h.xhtml#a86084036bd3851575ef871ad5bf079a7">ARM_COMPUTE_RETURN_ERROR_ON_MSG</a>(num_groups != 1, <span class="stringliteral">&quot;WinogradConvolutionLayer does not support grouping!&quot;</span>);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; status = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adace45051d8e72357da6c2b18ceaf25e">WinogradConvolutionLayer::validate</a>(input, weights, biases, output, conv_info, <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(), fast_math);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a683661ae75dcb7aef16b9c9bde31517da7a1920d61156abc05a60135aefe8bc67">ConvolutionMethod::Default</a>:</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; status = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adace45051d8e72357da6c2b18ceaf25e">ConvolutionLayer::validate</a>(input, weights, biases, output, conv_info,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <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, num_groups);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="keywordflow">default</span>:</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <a class="code" href="_error_8h.xhtml#a9561091f3566e78ad3aa39259bc4126a">ARM_COMPUTE_RETURN_ERROR_MSG</a>(<span class="stringliteral">&quot;Unsupported convolution method&quot;</span>);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; }</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160;</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <span class="keywordflow">return</span> status;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160;}</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> DepthwiseConvolutionLayer, <span class="keyword">typename</span> DepthwiseConvolutionLayer3x3&gt;</div><div class="line"><a name="l00149"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a1634943db602da2c457279f427ab9538"> 149</a></span>&#160;<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#a1634943db602da2c457279f427ab9538">validate_depthwise_convolution_layer</a>(<a class="code" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml">DepthwiseConvolutionLayerNode</a> &amp;node)</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;{</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">&quot;Validating DepthwiseConvolutionLayer node with ID : &quot;</span> &lt;&lt; node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ac2073f3ae2a49f98a91315ed035f8669">id</a>() &lt;&lt; <span class="stringliteral">&quot; and Name: &quot;</span> &lt;&lt; node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">name</a>() &lt;&lt; std::endl);</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; <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#a7db9a1c221b414ff11bd4a5b7b97ec8d">num_inputs</a>() != 3);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; <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#a20ee33c4a581d8d3507dbb898d47d733">num_outputs</a>() != 1);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input = <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#ac6dfcf4c1c7d4cb129fda6393e8c0b21">input</a>(0));</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *weights = <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#ac6dfcf4c1c7d4cb129fda6393e8c0b21">input</a>(1));</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <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#ac6dfcf4c1c7d4cb129fda6393e8c0b21">input</a>(2));</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <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#a427ac30d0f5274436afbf5c78bc4f644">output</a>(0));</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acbf8f8a6dd185de04c1981c57a8963cf">conv_info</a> = node.<a class="code" href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#af8bae150bf98eca8fe0fa86eba1c82e7">convolution_info</a>();</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <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#a715cc3cf041f67ddeaffc9f8916a41aa">depthwise_convolution_method</a>();</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160;</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <span class="comment">// Validate function</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> status{};</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <span class="keywordflow">switch</span>(dwc_algorithm)</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; {</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa7a1920d61156abc05a60135aefe8bc67">DepthwiseConvolutionMethod::Default</a>:</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa87dc825930f866018839a6374a5e68d2">DepthwiseConvolutionMethod::GEMV</a>:</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; status = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adace45051d8e72357da6c2b18ceaf25e">DepthwiseConvolutionLayer::validate</a>(input, weights, biases, output, conv_info);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa3bb7b7f3f021a006e65111fc1d226938">DepthwiseConvolutionMethod::Optimized3x3</a>:</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; status = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adace45051d8e72357da6c2b18ceaf25e">DepthwiseConvolutionLayer3x3::validate</a>(input, weights, biases, output, conv_info);</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; <span class="keywordflow">default</span>:</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; <a class="code" href="_error_8h.xhtml#a9561091f3566e78ad3aa39259bc4126a">ARM_COMPUTE_RETURN_ERROR_MSG</a>(<span class="stringliteral">&quot;Unsupported depthwise convolution method&quot;</span>);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; }</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; <span class="keywordflow">return</span> status;</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160;}</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> PermuteLayer&gt;</div><div class="line"><a name="l00191"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#aeb6f53f28ef137932823d17554043056"> 191</a></span>&#160;<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> &amp;node)</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160;{</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">&quot;Validating PermuteLayer node with ID : &quot;</span> &lt;&lt; node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ac2073f3ae2a49f98a91315ed035f8669">id</a>() &lt;&lt; <span class="stringliteral">&quot; and Name: &quot;</span> &lt;&lt; node.<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">name</a>() &lt;&lt; std::endl);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; <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#a7db9a1c221b414ff11bd4a5b7b97ec8d">num_inputs</a>() != 1);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; <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#a20ee33c4a581d8d3507dbb898d47d733">num_outputs</a>() != 1);</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160;</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; <span class="comment">// Extract IO and info</span></div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a> *input = <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#ac6dfcf4c1c7d4cb129fda6393e8c0b21">input</a>(0));</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; <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#a427ac30d0f5274436afbf5c78bc4f644">output</a>(0));</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a33e65be485104e2e9e69fca551d6f492">PermutationVector</a> &amp;perm = node.<a class="code" href="classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#a1ebe4a01be1450d3c68685eb034b0fde">permutation_vector</a>();</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adace45051d8e72357da6c2b18ceaf25e">PermuteLayer::validate</a>(input, output, perm);</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160;}</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160;} <span class="comment">// namespace detail</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160;} <span class="comment">// namespace backends</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160;} <span class="comment">// namespace graph</span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160;<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_depthwise_convolution_layer_node_xhtml_a715cc3cf041f67ddeaffc9f8916a41aa"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#a715cc3cf041f67ddeaffc9f8916a41aa">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>
<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="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 &amp;node)</div><div class="ttdoc">Validates a permute layer node. </div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00191">ValidateHelpers.h:191</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="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_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 &amp; tensor()=0</div><div class="ttdoc">Backend tensor object accessor. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a33e65be485104e2e9e69fca551d6f492"><div class="ttname"><a href="namespacearm__compute.xhtml#a33e65be485104e2e9e69fca551d6f492">arm_compute::PermutationVector</a></div><div class="ttdeci">Strides PermutationVector</div><div class="ttdoc">Permutation vector. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00047">Types.h:47</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&amp;#39;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_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="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div>
<div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml">arm_compute::ActivationLayerInfo</a></div><div class="ttdoc">Activation Layer Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00839">Types.h:839</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_i_node_xhtml_a7db9a1c221b414ff11bd4a5b7b97ec8d"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a7db9a1c221b414ff11bd4a5b7b97ec8d">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>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_convolution_layer_node_xhtml_af8bae150bf98eca8fe0fa86eba1c82e7"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#af8bae150bf98eca8fe0fa86eba1c82e7">arm_compute::graph::ConvolutionLayerNode::convolution_info</a></div><div class="ttdeci">PadStrideInfo convolution_info() const </div><div class="ttdoc">Convolution metadata accessor. </div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_tensor_xhtml_a1a4fd35b8e2e8a2c7ea38b6d37508673"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_tensor.xhtml#a1a4fd35b8e2e8a2c7ea38b6d37508673">arm_compute::graph::Tensor::handle</a></div><div class="ttdeci">ITensorHandle * handle()</div><div class="ttdoc">Backend tensor handle accessor. </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#l00974">Types.h:974</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::Format::S32</a></div><div class="ttdoc">1 channel, 1 S32 per channel </div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_convolution_layer_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml">arm_compute::graph::ConvolutionLayerNode</a></div><div class="ttdoc">Convolution Layer node. </div><div class="ttdef"><b>Definition:</b> <a href="_convolution_layer_node_8h_source.xhtml#l00034">ConvolutionLayerNode.h:34</a></div></div>
<div class="ttc" id="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_channel_shuffle_layer_node_xhtml_a8dcb6000a40ebf3e3ced2bdb0fc496a8"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_channel_shuffle_layer_node.xhtml#a8dcb6000a40ebf3e3ced2bdb0fc496a8">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>
<div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a37627d5d5bba7f4a8690c71c2ab3cb07"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a37627d5d5bba7f4a8690c71c2ab3cb07">arm_compute::graph::INode::name</a></div><div class="ttdeci">std::string name() const </div><div class="ttdoc">Returns node&amp;#39;s name. </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#l00114">Types.h:114</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a86084036bd3851575ef871ad5bf079a7"><div class="ttname"><a href="_error_8h.xhtml#a86084036bd3851575ef871ad5bf079a7">ARM_COMPUTE_RETURN_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_MSG(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#l00214">Error.h:214</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a75ce9b1baad4303a53124d6f0795821fa87dc825930f866018839a6374a5e68d2"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a75ce9b1baad4303a53124d6f0795821fa87dc825930f866018839a6374a5e68d2">arm_compute::graph::DepthwiseConvolutionMethod::GEMV</a></div><div class="ttdoc">Generic GEMV based depthwise convolution. </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&amp;#39;s metadata. </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="_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_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#l00569">Types.h:569</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_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 &amp; 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="classarm__compute_1_1graph_1_1_convolution_layer_node_xhtml_a1e41ff600f64885f7594756f39ff8af3"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a1e41ff600f64885f7594756f39ff8af3">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>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acbf8f8a6dd185de04c1981c57a8963cf"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acbf8f8a6dd185de04c1981c57a8963cf">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00572">Winograd.cpp:572</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#l00992">Utils.h:992</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_ac2073f3ae2a49f98a91315ed035f8669"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#ac2073f3ae2a49f98a91315ed035f8669">arm_compute::graph::INode::id</a></div><div class="ttdeci">NodeID id() const </div><div class="ttdoc">Returns node&amp;#39;s ID. </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#l00183">Error.h:183</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adace45051d8e72357da6c2b18ceaf25e"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adace45051d8e72357da6c2b18ceaf25e">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() -&gt;valid_region(), valid_region)</div></div>
<div class="ttc" id="namespacearm__compute_1_1graph_1_1backends_1_1detail_xhtml_a1634943db602da2c457279f427ab9538"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1backends_1_1detail.xhtml#a1634943db602da2c457279f427ab9538">arm_compute::graph::backends::detail::validate_depthwise_convolution_layer</a></div><div class="ttdeci">Status validate_depthwise_convolution_layer(DepthwiseConvolutionLayerNode &amp;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#l00149">ValidateHelpers.h:149</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_convolution_layer_node_xhtml_a8dcb6000a40ebf3e3ced2bdb0fc496a8"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a8dcb6000a40ebf3e3ced2bdb0fc496a8">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>
<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 &amp;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#l00064">ValidateHelpers.h:64</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#l00046">Logger.h:46</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#l00105">Types.h:105</a></div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a427ac30d0f5274436afbf5c78bc4f644"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a427ac30d0f5274436afbf5c78bc4f644">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>
<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="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="classarm__compute_1_1graph_1_1_i_node_xhtml_ac6dfcf4c1c7d4cb129fda6393e8c0b21"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#ac6dfcf4c1c7d4cb129fda6393e8c0b21">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>
<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 &amp;node)</div><div class="ttdoc">Validates a Convolution layer node. </div><div class="ttdef"><b>Definition:</b> <a href="_validate_helpers_8h_source.xhtml#l00090">ValidateHelpers.h:90</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="classarm__compute_1_1graph_1_1_permute_layer_node_xhtml_a1ebe4a01be1450d3c68685eb034b0fde"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_permute_layer_node.xhtml#a1ebe4a01be1450d3c68685eb034b0fde">arm_compute::graph::PermuteLayerNode::permutation_vector</a></div><div class="ttdeci">const PermutationVector &amp; permutation_vector() const </div><div class="ttdoc">Permutation vector accessor. </div></div>
<div class="ttc" id="classarm__compute_1_1graph_1_1_convolution_layer_node_xhtml_a5d23729a29c27170ce6607223a5e47a0"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_convolution_layer_node.xhtml#a5d23729a29c27170ce6607223a5e47a0">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>
<div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a20ee33c4a581d8d3507dbb898d47d733"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a20ee33c4a581d8d3507dbb898d47d733">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>
<div class="ttc" id="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node_xhtml_af8bae150bf98eca8fe0fa86eba1c82e7"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_depthwise_convolution_layer_node.xhtml#af8bae150bf98eca8fe0fa86eba1c82e7">arm_compute::graph::DepthwiseConvolutionLayerNode::convolution_info</a></div><div class="ttdeci">PadStrideInfo convolution_info() const </div><div class="ttdoc">Convolution metadata accessor. </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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