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<div class="title">NEConvolutionKernel.h</div> </div>
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-<a href="_n_e_convolution_kernel_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) 2016, 2017 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_NECONVOLUTIONKERNEL_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_NECONVOLUTIONKERNEL_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="_i_n_e_kernel_8h.xhtml">arm_compute/core/NEON/INEKernel.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_i_n_e_simple_kernel_8h.xhtml">arm_compute/core/NEON/INESimpleKernel.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include <array></span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include <cstdint></span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include <vector></span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></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">class </span>ITensor;</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="comment">/****************************************************************************************\</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment"> * Square Convolution *</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment">\****************************************************************************************/</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="keyword">template</span> <<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size></div><div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml"> 55</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">INESimpleKernel</a></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a230a4894adf8380eca9e8c2aac03e9b8">NEConvolutionKernel</a>();</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8873a8f053f3d2322e297409645c6222">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *conv, uint32_t scale, <span class="keywordtype">bool</span> border_undefined);</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">// Inherited methods overridden:</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>) <span class="keyword">override</span>;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> OutputType></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordtype">void</span> convolution(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &win);</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="keyword">protected</span>:</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  uint32_t _scale; </div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  std::array<int16_t, matrix_size *matrix_size> _convolution; </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> };</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#acf81639b3d33b5da654ef088e4d10520"> 84</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolution3x3Kernel</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel<3></a>;</div><div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a21898b2d2e31ab9af8933c66ff82c8c6"> 86</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolution5x5Kernel</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel<5></a>;</div><div class="line"><a name="l00088"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ae46cbbe03d31c6c8e7eba7b58999842d"> 88</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolution7x7Kernel</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel<7></a>;</div><div class="line"><a name="l00090"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a1025306f820a9e76df7e5891caacff7b"> 90</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolution9x9Kernel</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel<9></a>;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="comment">/****************************************************************************************\</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="comment"> * Separable Square Convolution *</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="comment">\****************************************************************************************/</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="keyword">template</span> <<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size></div><div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml"> 98</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolutionHorKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">INESimpleKernel</a></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> {</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolutionHorKernel</a>();</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8873a8f053f3d2322e297409645c6222">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *conv_row, <span class="keywordtype">bool</span> border_undefined);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>) <span class="keyword">override</span>;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> OutputType></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordtype">void</span> convolve(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &window);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  std::array<int16_t, matrix_size> _conv_row; </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> _border_size; </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> </div><div class="line"><a name="l00130"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ac78a7593874c21cff86478c1ba6df27b"> 130</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolution5x5HorKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolutionHorKernel<5></a>;</div><div class="line"><a name="l00132"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#aca4adbcd292c26b0e392c59875c1e926"> 132</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolution7x7HorKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolutionHorKernel<7></a>;</div><div class="line"><a name="l00134"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a4ba5f6b7cd6b70b75e42149f3bc08f38"> 134</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolution9x9HorKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolutionHorKernel<9></a>;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="keyword">template</span> <<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size></div><div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml"> 138</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolutionVertKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">INESimpleKernel</a></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="keyword">public</span>:</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolutionVertKernel</a>();</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8873a8f053f3d2322e297409645c6222">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *conv_col, uint32_t scale, <span class="keywordtype">bool</span> border_undefined);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>) <span class="keyword">override</span>;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> </div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> OutputType></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keywordtype">void</span> convolution_u16(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &win);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> OutputType></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordtype">void</span> convolution_s16(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &win);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> OutputType></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keywordtype">void</span> convolution_s32(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &win);</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> </div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  std::array<int16_t, matrix_size> _conv_col; </div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  uint32_t _scale; </div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> };</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00186"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ae4152320657df499674ed64b16c28a7b"> 186</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolution5x5VertKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolutionVertKernel<5></a>;</div><div class="line"><a name="l00188"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a0f952bd0821b506e18514a3f4dbc6c39"> 188</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolution7x7VertKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolutionVertKernel<7></a>;</div><div class="line"><a name="l00190"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a6310d21f215fface41df4cde725a62b9"> 190</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolution9x9VertKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolutionVertKernel<9></a>;</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="comment">/****************************************************************************************\</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> <span class="comment"> * Rectangle Convolution *</span></div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> <span class="comment">\****************************************************************************************/</span></div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00200"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml"> 200</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">INEKernel</a></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> {</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a>();</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a>(<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &<a class="code" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a4a631f6a74572e47d958c4c314406000">operator=</a>(<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a>(<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &<a class="code" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a4a631f6a74572e47d958c4c314406000">operator=</a>(<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8873a8f053f3d2322e297409645c6222">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *conv, uint32_t width, uint32_t height, uint32_t scale, <span class="keywordtype">bool</span> border_undefined);</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>) <span class="keyword">override</span>;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> get_index(uint32_t val);</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> OutputType, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> rows, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> cols></div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordtype">void</span> convolution(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &win);</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="keyword">protected</span>:</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_input; </div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_output; </div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  uint32_t _scale; </div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  std::vector<int16_t> _convolution; </div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> _border_size; </div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  uint32_t _func_idx; </div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keyword">const</span> <span class="keyword">static</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _nr_supported_sizes</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  {</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  4</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  }; </div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> };</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> }</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> <span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_NECONVOLUTIONKERNEL_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_vert_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">arm_compute::NESeparableConvolutionVertKernel</a></div><div class="ttdoc">Kernel for the Vertical pass of a Separable Convolution. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_kernel_8h_source.xhtml#l00138">NEConvolutionKernel.h:138</a></div></div>
+<a href="_n_e_convolution_kernel_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) 2016-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#ifndef __ARM_COMPUTE_NECONVOLUTIONKERNEL_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_NECONVOLUTIONKERNEL_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="_i_n_e_kernel_8h.xhtml">arm_compute/core/NEON/INEKernel.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_i_n_e_simple_kernel_8h.xhtml">arm_compute/core/NEON/INESimpleKernel.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include <array></span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include <cstdint></span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include <vector></span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></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">class </span>ITensor;</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="comment">/****************************************************************************************\</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment"> * Square Convolution *</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment">\****************************************************************************************/</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="keyword">template</span> <<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size></div><div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml"> 55</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">INESimpleKernel</a></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828"> 58</a></span>  <span class="keyword">const</span> <span class="keywordtype">char</span> *<a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">name</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordflow">return</span> <span class="stringliteral">"NEConvolutionKernel"</span>;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  }</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a230a4894adf8380eca9e8c2aac03e9b8">NEConvolutionKernel</a>();</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8873a8f053f3d2322e297409645c6222">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adf88bb8e946175c496fb362aa458128b">conv</a>, uint32_t <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>, <span class="keywordtype">bool</span> border_undefined);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>) <span class="keyword">override</span>;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</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="keyword">private</span>:</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> OutputType></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordtype">void</span> convolution(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &win);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="keyword">protected</span>:</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  uint32_t _scale; </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  std::array<int16_t, matrix_size *matrix_size> _convolution; </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> };</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00088"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#acf81639b3d33b5da654ef088e4d10520"> 88</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolution3x3Kernel</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel<3></a>;</div><div class="line"><a name="l00090"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a21898b2d2e31ab9af8933c66ff82c8c6"> 90</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolution5x5Kernel</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel<5></a>;</div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ae46cbbe03d31c6c8e7eba7b58999842d"> 92</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolution7x7Kernel</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel<7></a>;</div><div class="line"><a name="l00094"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a1025306f820a9e76df7e5891caacff7b"> 94</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolution9x9Kernel</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel<9></a>;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="comment">/****************************************************************************************\</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="comment"> * Separable Square Convolution *</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="comment">\****************************************************************************************/</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="keyword">template</span> <<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size></div><div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml"> 102</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolutionHorKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">INESimpleKernel</a></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> {</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00105"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828"> 105</a></span>  <span class="keyword">const</span> <span class="keywordtype">char</span> *<a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">name</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">return</span> <span class="stringliteral">"NESeparableConvolutionHorKernel"</span>;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  }</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolutionHorKernel</a>();</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8873a8f053f3d2322e297409645c6222">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *conv_row, <span class="keywordtype">bool</span> border_undefined);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>) <span class="keyword">override</span>;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> OutputType></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordtype">void</span> convolve(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &window);</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  std::array<int16_t, matrix_size> _conv_row; </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> _border_size; </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> </div><div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ac78a7593874c21cff86478c1ba6df27b"> 138</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolution5x5HorKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolutionHorKernel<5></a>;</div><div class="line"><a name="l00140"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#aca4adbcd292c26b0e392c59875c1e926"> 140</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolution7x7HorKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolutionHorKernel<7></a>;</div><div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a4ba5f6b7cd6b70b75e42149f3bc08f38"> 142</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolution9x9HorKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolutionHorKernel<9></a>;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> <span class="keyword">template</span> <<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size></div><div class="line"><a name="l00146"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml"> 146</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolutionVertKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">INESimpleKernel</a></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> {</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00149"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828"> 149</a></span>  <span class="keyword">const</span> <span class="keywordtype">char</span> *<a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">name</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordflow">return</span> <span class="stringliteral">"NESeparableConvolutionVertKernel"</span>;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  }</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolutionVertKernel</a>();</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> </div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8873a8f053f3d2322e297409645c6222">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *conv_col, uint32_t <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>, <span class="keywordtype">bool</span> border_undefined);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>) <span class="keyword">override</span>;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> OutputType></div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keywordtype">void</span> convolution_u16(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &win);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> OutputType></div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordtype">void</span> convolution_s16(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &win);</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> OutputType></div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordtype">void</span> convolution_s32(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &win);</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> </div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  std::array<int16_t, matrix_size> _conv_col; </div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  uint32_t _scale; </div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> };</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div><div class="line"><a name="l00198"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ae4152320657df499674ed64b16c28a7b"> 198</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolution5x5VertKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolutionVertKernel<5></a>;</div><div class="line"><a name="l00200"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a0f952bd0821b506e18514a3f4dbc6c39"> 200</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolution7x7VertKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolutionVertKernel<7></a>;</div><div class="line"><a name="l00202"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a6310d21f215fface41df4cde725a62b9"> 202</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolution9x9VertKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolutionVertKernel<9></a>;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> </div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="comment">/****************************************************************************************\</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> <span class="comment"> * Rectangle Convolution *</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> <span class="comment">\****************************************************************************************/</span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> </div><div class="line"><a name="l00212"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml"> 212</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">INEKernel</a></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> {</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00215"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828"> 215</a></span>  <span class="keyword">const</span> <span class="keywordtype">char</span> *<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">name</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keywordflow">return</span> <span class="stringliteral">"NEConvolutionRectangleKernel"</span>;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  }</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a>();</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a>(<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &<a class="code" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a4a631f6a74572e47d958c4c314406000">operator=</a>(<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a>(<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &<a class="code" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a4a631f6a74572e47d958c4c314406000">operator=</a>(<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8873a8f053f3d2322e297409645c6222">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adf88bb8e946175c496fb362aa458128b">conv</a>, uint32_t width, uint32_t height, uint32_t <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>, <span class="keywordtype">bool</span> border_undefined);</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> </div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>) <span class="keyword">override</span>;</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</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="keyword">private</span>:</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> get_index(uint32_t val);</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> OutputType, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> rows, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> cols></div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordtype">void</span> convolution(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &win);</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> </div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> <span class="keyword">protected</span>:</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_input; </div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_output; </div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  uint32_t _scale; </div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  std::vector<int16_t> _convolution; </div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> _border_size; </div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  uint32_t _func_idx; </div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keyword">const</span> <span class="keyword">static</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _nr_supported_sizes</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  {</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  4</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  }; </div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> };</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span> <span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_NECONVOLUTIONKERNEL_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_vert_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">arm_compute::NESeparableConvolutionVertKernel</a></div><div class="ttdoc">Kernel for the Vertical pass of a Separable Convolution. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_kernel_8h_source.xhtml#l00146">NEConvolutionKernel.h:146</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">arm_compute::NEConvolutionKernel</a></div><div class="ttdoc">Interface for the kernel to run an arbitrary size convolution on a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_kernel_8h_source.xhtml#l00055">NEConvolutionKernel.h:55</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_vert_kernel_xhtml_ab5656bb5b6334bdbe6e606c715872828"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">arm_compute::NESeparableConvolutionVertKernel::name</a></div><div class="ttdeci">const char * name() const override</div><div class="ttdoc">Name of the kernel. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_kernel_8h_source.xhtml#l00149">NEConvolutionKernel.h:149</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_kernel_xhtml_a8873a8f053f3d2322e297409645c6222"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8873a8f053f3d2322e297409645c6222">arm_compute::NEConvolutionKernel::configure</a></div><div class="ttdeci">void configure(const ITensor *input, ITensor *output, const int16_t *conv, uint32_t scale, bool border_undefined)</div><div class="ttdoc">Initialise the kernel&#39;s input, output and border mode. </div></div>
<div class="ttc" id="_i_n_e_simple_kernel_8h_xhtml"><div class="ttname"><a href="_i_n_e_simple_kernel_8h.xhtml">INESimpleKernel.h</a></div></div>
-<div class="ttc" id="structarm__compute_1_1_border_size_xhtml"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml">arm_compute::BorderSize</a></div><div class="ttdoc">Container for 2D border size. </div><div class="ttdef"><b>Definition:</b> <a href="_types_8h_source.xhtml#l00116">Types.h:116</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_i_c_p_p_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">arm_compute::ICPPKernel</a></div><div class="ttdoc">Common interface for all kernels implemented in C++. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_p_p_kernel_8h_source.xhtml#l00034">ICPPKernel.h:34</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_hor_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">arm_compute::NESeparableConvolutionHorKernel</a></div><div class="ttdoc">Kernel for the Horizontal pass of a Separable Convolution. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_kernel_8h_source.xhtml#l00098">NEConvolutionKernel.h:98</a></div></div>
+<div class="ttc" id="structarm__compute_1_1_border_size_xhtml"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml">arm_compute::BorderSize</a></div><div class="ttdoc">Container for 2D border size. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00229">Types.h:229</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_i_c_p_p_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">arm_compute::ICPPKernel</a></div><div class="ttdoc">Common interface for all kernels implemented in C++. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_p_p_kernel_8h_source.xhtml#l00035">ICPPKernel.h:35</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_n_e_convolution_kernel_xhtml_ab5656bb5b6334bdbe6e606c715872828"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">arm_compute::NEConvolutionKernel::name</a></div><div class="ttdeci">const char * name() const override</div><div class="ttdoc">Name of the kernel. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_kernel_8h_source.xhtml#l00058">NEConvolutionKernel.h:58</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adf88bb8e946175c496fb362aa458128b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adf88bb8e946175c496fb362aa458128b">arm_compute::test::validation::conv</a></div><div class="ttdeci">int16_t conv[25]</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00140">Convolution.cpp:140</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_hor_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">arm_compute::NESeparableConvolutionHorKernel</a></div><div class="ttdoc">Kernel for the Horizontal pass of a Separable Convolution. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_kernel_8h_source.xhtml#l00102">NEConvolutionKernel.h:102</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_c_p_p_simple_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">arm_compute::ICPPSimpleKernel</a></div><div class="ttdoc">Interface for simple NEON kernels having 1 tensor input and 1 tensor output. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_p_p_simple_kernel_8h_source.xhtml#l00034">ICPPSimpleKernel.h:34</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div>
-<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_8dox_source.xhtml#l00001">arm_compute.dox:1</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_n_e_convolution_kernel_xhtml_a8fd12b95bdde3f93db96bc9b1598db69"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">arm_compute::NEConvolutionKernel::run</a></div><div class="ttdeci">void run(const Window &window) override</div><div class="ttdoc">Execute the kernel on the passed window. </div></div>
-<div class="ttc" id="classarm__compute_1_1_n_e_convolution_rectangle_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">arm_compute::NEConvolutionRectangleKernel</a></div><div class="ttdoc">Kernel for the running convolution on a rectangle matrix. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_kernel_8h_source.xhtml#l00200">NEConvolutionKernel.h:200</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a096668313a9a819d54a2e65ec21ff0cc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">arm_compute::test::validation::info</a></div><div class="ttdeci">src info() -> set_format(Format::S16)</div></div>
+<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="01__library_8dox_source.xhtml#l00001">01_library.dox:1</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_n_e_convolution_rectangle_kernel_xhtml_ab5656bb5b6334bdbe6e606c715872828"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">arm_compute::NEConvolutionRectangleKernel::name</a></div><div class="ttdeci">const char * name() const override</div><div class="ttdoc">Name of the kernel. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_kernel_8h_source.xhtml#l00215">NEConvolutionKernel.h:215</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_n_e_convolution_rectangle_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">arm_compute::NEConvolutionRectangleKernel</a></div><div class="ttdoc">Kernel for the running convolution on a rectangle matrix. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_kernel_8h_source.xhtml#l00212">NEConvolutionKernel.h:212</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_n_e_convolution_kernel_xhtml_a112b35dd205c62ea6ed1447ef226da82"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">arm_compute::NEConvolutionKernel::run</a></div><div class="ttdeci">void run(const Window &window, const ThreadInfo &info) override</div><div class="ttdoc">Execute the kernel on the passed window. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_kernel_xhtml_a423f9a45a52983b4de5e2b347f4369c7"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">arm_compute::NEConvolutionKernel::border_size</a></div><div class="ttdeci">BorderSize border_size() const override</div><div class="ttdoc">The size of the border for that kernel. </div></div>
+<div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_hor_kernel_xhtml_ab5656bb5b6334bdbe6e606c715872828"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">arm_compute::NESeparableConvolutionHorKernel::name</a></div><div class="ttdeci">const char * name() const override</div><div class="ttdoc">Name of the kernel. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_kernel_8h_source.xhtml#l00105">NEConvolutionKernel.h:105</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_kernel_xhtml_a230a4894adf8380eca9e8c2aac03e9b8"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a230a4894adf8380eca9e8c2aac03e9b8">arm_compute::NEConvolutionKernel::NEConvolutionKernel</a></div><div class="ttdeci">NEConvolutionKernel()</div><div class="ttdoc">Default constructor. </div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acec6d8ad52a28972fa74e071c1a63b6a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">arm_compute::test::validation::scale</a></div><div class="ttdeci">scale</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_pixel_wise_multiplication_8cpp_source.xhtml#l00176">PixelWiseMultiplication.cpp:176</a></div></div>
+<div class="ttc" id="structarm__compute_1_1_thread_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_thread_info.xhtml">arm_compute::ThreadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_types_8h_source.xhtml#l00058">CPPTypes.h:58</a></div></div>
<div class="ttc" id="_i_n_e_kernel_8h_xhtml"><div class="ttname"><a href="_i_n_e_kernel_8h.xhtml">INEKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_c_p_p_simple_kernel_xhtml_a4a631f6a74572e47d958c4c314406000"><div class="ttname"><a href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml#a4a631f6a74572e47d958c4c314406000">arm_compute::ICPPSimpleKernel::operator=</a></div><div class="ttdeci">ICPPSimpleKernel & operator=(const ICPPSimpleKernel &)=delete</div><div class="ttdoc">Prevent instances of this class from being copied (As this class contains pointers) ...</div></div>
<div class="ttc" id="classarm__compute_1_1_i_kernel_xhtml_a3f5646133956f06348b310ccc3d36353"><div class="ttname"><a href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">arm_compute::IKernel::window</a></div><div class="ttdeci">const Window & window() const </div><div class="ttdoc">The maximum window the kernel can be executed on. </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_1fb090f0c6070330bfaccc4236d3ca0d.xhtml">core</a></li><li class="navelem"><a class="el" href="dir_315f6cf1ec0b2df3ae747ff8286a19f5.xhtml">NEON</a></li><li class="navelem"><a class="el" href="dir_2c3c4cb85e732569e2614ad40a451d53.xhtml">kernels</a></li><li class="navelem"><a class="el" href="_n_e_convolution_kernel_8h.xhtml">NEConvolutionKernel.h</a></li>
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