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<div class="title">CLConvolutionKernel.h</div> </div>
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-<a href="_c_l_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_CLCONVOLUTIONKERNEL_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_CLCONVOLUTIONKERNEL_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_c_l_simple2_d_kernel_8h.xhtml">arm_compute/core/CL/ICLSimple2DKernel.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include <cstdint></span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword">class </span>
<a class="code" href="namespacearm__compute.xhtml#af87af588094f04e537df98eaf0426cb6">ICLTensor</a>;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment">/****************************************************************************************\</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"> * Square Convolution *</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment">\****************************************************************************************/</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="keyword">template</span> <<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size></div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml"> 52</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolutionKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml">ICLSimple2DKernel</a></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> {</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a07e35fa34ecbbc82d848fa3997cc6fdb">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</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="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> };</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a4751499f1c526c7285e7e946c2e84541"> 70</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolution3x3Kernel</a> = <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolutionKernel<3></a>;</div><div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ac4cfbdf439d7bf5d420546298bd5ca0d"> 72</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolution5x5Kernel</a> = <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolutionKernel<5></a>;</div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a99a54c937a254c96cd1a29a96ffa7dcf"> 74</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolution7x7Kernel</a> = <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolutionKernel<7></a>;</div><div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a908439cd5cf8253865d5c70a413fd607"> 76</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolution9x9Kernel</a> = <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolutionKernel<9></a>;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment">/****************************************************************************************\</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="comment"> * Separable Square Convolution *</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment">\****************************************************************************************/</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="keyword">template</span> <<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size></div><div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml"> 84</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolutionHorKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml">ICLSimple2DKernel</a></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> {</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolutionHorKernel</a>();</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a07e35fa34ecbbc82d848fa3997cc6fdb">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <span class="keyword">const</span> int16_t *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adf88bb8e946175c496fb362aa458128b">conv</a>, <span class="keywordtype">bool</span> border_undefined);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> _border_size; </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> </div><div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ac72d613f7270604dbcad2553c278b16c"> 106</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolution5x5HorKernel</a> = <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolutionHorKernel<5></a>;</div><div class="line"><a name="l00108"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#aab26624bf4b326f8145b2909a5042004"> 108</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolution7x7HorKernel</a> = <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolutionHorKernel<7></a>;</div><div class="line"><a name="l00110"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a9f34ccad344bc43d25e8be2b828853aa"> 110</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolution9x9HorKernel</a> = <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolutionHorKernel<9></a>;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="keyword">template</span> <<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size></div><div class="line"><a name="l00114"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml"> 114</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolutionVertKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml">ICLSimple2DKernel</a></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> {</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a07e35fa34ecbbc82d848fa3997cc6fdb">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</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, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a> = <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> };</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00133"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ac7295b0d8d71be75033238ad7fbba38c"> 133</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolution5x5VertKernel</a> = <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolutionVertKernel<5></a>;</div><div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a0ffdf01e236016ce8d366a69875d1375"> 135</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolution7x7VertKernel</a> = <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolutionVertKernel<7></a>;</div><div class="line"><a name="l00137"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a6d08e1e881bf611c1e1b9e2bb8810d19"> 137</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolution9x9VertKernel</a> = <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolutionVertKernel<9></a>;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> <span class="comment">/****************************************************************************************\</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> <span class="comment"> * Rectangle Convolution *</span></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> <span class="comment">\****************************************************************************************/</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> </div><div class="line"><a name="l00147"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml"> 147</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml">ICLKernel</a></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> {</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a>();</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a> &<a class="code" href="classarm__compute_1_1_i_c_l_simple_kernel.xhtml#a8bc8fdf1a67fbaaa3270fd5eeecfc6cf">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a>(<a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a> &<a class="code" href="classarm__compute_1_1_i_c_l_simple_kernel.xhtml#a8bc8fdf1a67fbaaa3270fd5eeecfc6cf">operator=</a>(<a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a07e35fa34ecbbc82d848fa3997cc6fdb">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</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="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">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>, cl::CommandQueue &queue) <span class="keyword">override</span>;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> _border_size;</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_input;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_output;</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> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> <span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_CLCONVOLUTIONKERNEL_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="_i_c_l_simple2_d_kernel_8h_xhtml"><div class="ttname"><a href="_i_c_l_simple2_d_kernel_8h.xhtml">ICLSimple2DKernel.h</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_i_c_l_simple_kernel_xhtml_a8bc8fdf1a67fbaaa3270fd5eeecfc6cf"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_simple_kernel.xhtml#a8bc8fdf1a67fbaaa3270fd5eeecfc6cf">arm_compute::ICLSimpleKernel::operator=</a></div><div class="ttdeci">ICLSimpleKernel & operator=(const ICLSimpleKernel &)=delete</div><div class="ttdoc">Prevent instances of this class from being copied (As this class contains pointers). </div></div>
+<a href="_c_l_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_CLCONVOLUTIONKERNEL_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_CLCONVOLUTIONKERNEL_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_c_l_simple2_d_kernel_8h.xhtml">arm_compute/core/CL/ICLSimple2DKernel.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include <cstdint></span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword">class </span>
ICLTensor;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment">/****************************************************************************************\</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"> * Square Convolution *</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment">\****************************************************************************************/</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="keyword">template</span> <<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size></div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml"> 52</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolutionKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml">ICLSimple2DKernel</a></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> {</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a07e35fa34ecbbc82d848fa3997cc6fdb">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</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="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> };</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a4751499f1c526c7285e7e946c2e84541"> 70</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolution3x3Kernel</a> = <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolutionKernel<3></a>;</div><div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ac4cfbdf439d7bf5d420546298bd5ca0d"> 72</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolution5x5Kernel</a> = <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolutionKernel<5></a>;</div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a99a54c937a254c96cd1a29a96ffa7dcf"> 74</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolution7x7Kernel</a> = <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolutionKernel<7></a>;</div><div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a908439cd5cf8253865d5c70a413fd607"> 76</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolution9x9Kernel</a> = <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolutionKernel<9></a>;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment">/****************************************************************************************\</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="comment"> * Separable Square Convolution *</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment">\****************************************************************************************/</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="keyword">template</span> <<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size></div><div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml"> 84</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolutionHorKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml">ICLSimple2DKernel</a></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> {</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolutionHorKernel</a>();</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a07e35fa34ecbbc82d848fa3997cc6fdb">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <span class="keyword">const</span> int16_t *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adf88bb8e946175c496fb362aa458128b">conv</a>, <span class="keywordtype">bool</span> border_undefined);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> _border_size; </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> </div><div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ac72d613f7270604dbcad2553c278b16c"> 106</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolution5x5HorKernel</a> = <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolutionHorKernel<5></a>;</div><div class="line"><a name="l00108"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#aab26624bf4b326f8145b2909a5042004"> 108</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolution7x7HorKernel</a> = <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolutionHorKernel<7></a>;</div><div class="line"><a name="l00110"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a9f34ccad344bc43d25e8be2b828853aa"> 110</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolution9x9HorKernel</a> = <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolutionHorKernel<9></a>;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="keyword">template</span> <<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size></div><div class="line"><a name="l00114"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml"> 114</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolutionVertKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml">ICLSimple2DKernel</a></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> {</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a07e35fa34ecbbc82d848fa3997cc6fdb">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</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, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a> = <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> };</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00133"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ac7295b0d8d71be75033238ad7fbba38c"> 133</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolution5x5VertKernel</a> = <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolutionVertKernel<5></a>;</div><div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a0ffdf01e236016ce8d366a69875d1375"> 135</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolution7x7VertKernel</a> = <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolutionVertKernel<7></a>;</div><div class="line"><a name="l00137"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a6d08e1e881bf611c1e1b9e2bb8810d19"> 137</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolution9x9VertKernel</a> = <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolutionVertKernel<9></a>;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> <span class="comment">/****************************************************************************************\</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> <span class="comment"> * Rectangle Convolution *</span></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> <span class="comment">\****************************************************************************************/</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> </div><div class="line"><a name="l00147"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml"> 147</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml">ICLKernel</a></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> {</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a>();</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a> &<a class="code" href="classarm__compute_1_1_i_c_l_simple_kernel.xhtml#a8bc8fdf1a67fbaaa3270fd5eeecfc6cf">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a>(<a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a> &<a class="code" href="classarm__compute_1_1_i_c_l_simple_kernel.xhtml#a8bc8fdf1a67fbaaa3270fd5eeecfc6cf">operator=</a>(<a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">CLConvolutionRectangleKernel</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a07e35fa34ecbbc82d848fa3997cc6fdb">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</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="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">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>, cl::CommandQueue &queue) <span class="keyword">override</span>;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> _border_size;</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_input;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_output;</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> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> <span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_CLCONVOLUTIONKERNEL_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="_i_c_l_simple2_d_kernel_8h_xhtml"><div class="ttname"><a href="_i_c_l_simple2_d_kernel_8h.xhtml">ICLSimple2DKernel.h</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_i_c_l_simple_kernel_xhtml_a8bc8fdf1a67fbaaa3270fd5eeecfc6cf"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_simple_kernel.xhtml#a8bc8fdf1a67fbaaa3270fd5eeecfc6cf">arm_compute::ICLSimpleKernel::operator=</a></div><div class="ttdeci">ICLSimpleKernel & operator=(const ICLSimpleKernel &)=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_c_l_separable_convolution_hor_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">arm_compute::CLSeparableConvolutionHorKernel</a></div><div class="ttdoc">Kernel for the Horizontal pass of a Separable Convolution. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_convolution_kernel_8h_source.xhtml#l00084">CLConvolutionKernel.h:84</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="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#l00291">Types.h:291</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_convolution_kernel_xhtml_a07e35fa34ecbbc82d848fa3997cc6fdb"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a07e35fa34ecbbc82d848fa3997cc6fdb">arm_compute::CLConvolutionKernel::configure</a></div><div class="ttdeci">void configure(const ICLTensor *input, ICLTensor *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="classarm__compute_1_1_c_l_convolution_kernel_xhtml_a423f9a45a52983b4de5e2b347f4369c7"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">arm_compute::CLConvolutionKernel::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="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_c_l_convolution_rectangle_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_rectangle_kernel.xhtml">arm_compute::CLConvolutionRectangleKernel</a></div><div class="ttdoc">Kernel for the running convolution on a rectangle matrix. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_convolution_kernel_8h_source.xhtml#l00147">CLConvolutionKernel.h:147</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml">arm_compute::ICLKernel</a></div><div class="ttdoc">Common interface for all the OpenCL kernels. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8h_source.xhtml#l00042">ICLKernel.h:42</a></div></div>
+<div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml">arm_compute::ICLKernel</a></div><div class="ttdoc">Common interface for all the OpenCL kernels. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8h_source.xhtml#l00043">ICLKernel.h:43</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">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="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::Format::S32</a></div><div class="ttdoc">1 channel, 1 S32 per channel </div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00116">GEMM.cpp:116</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_convolution_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">arm_compute::CLConvolutionKernel</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="_c_l_convolution_kernel_8h_source.xhtml#l00052">CLConvolutionKernel.h:52</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_c_l_simple2_d_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml">arm_compute::ICLSimple2DKernel</a></div><div class="ttdoc">Interface for simple OpenCL kernels having 1 tensor input and 1 tensor output. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_simple2_d_kernel_8h_source.xhtml#l00034">ICLSimple2DKernel.h:34</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_separable_convolution_vert_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">arm_compute::CLSeparableConvolutionVertKernel</a></div><div class="ttdoc">Kernel for the Vertical pass of a Separable Convolution. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_convolution_kernel_8h_source.xhtml#l00114">CLConvolutionKernel.h:114</a></div></div>
-<div class="ttc" id="namespacearm__compute_xhtml_af87af588094f04e537df98eaf0426cb6"><div class="ttname"><a href="namespacearm__compute.xhtml#af87af588094f04e537df98eaf0426cb6">arm_compute::ICLTensor</a></div><div class="ttdeci">ICLImage ICLTensor</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_histogram_8h_source.xhtml#l00034">CLHistogram.h:34</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_tensor.xhtml">arm_compute::ICLTensor</a></div><div class="ttdoc">Interface for OpenCL tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_tensor_8h_source.xhtml#l00040">ICLTensor.h:40</a></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="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#l00178">PixelWiseMultiplication.cpp:178</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_c_l_simple2_d_kernel_xhtml_a493987e85723a8000eb26d1f00e2ad0e"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_simple2_d_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">arm_compute::ICLSimple2DKernel::run</a></div><div class="ttdeci">void run(const Window &window, cl::CommandQueue &queue) override</div><div class="ttdoc">Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue...</div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00072">Types.h:72</a></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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