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<div class="title">CLConvolution.h</div> </div>
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<a href="_c_l_convolution_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">/*</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2016, 2017 ARM Limited.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="comment"> * SOFTWARE.</span></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#ifndef __ARM_COMPUTE_CLCONVOLUTION_H__</span></div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor"></span><span class="preprocessor">#define __ARM_COMPUTE_CLCONVOLUTION_H__</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_convolution_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLConvolutionKernel.h</a>&quot;</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_fill_border_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLFillBorderKernel.h</a>&quot;</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_memory_group_8h.xhtml">arm_compute/runtime/CL/CLMemoryGroup.h</a>&quot;</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_tensor_8h.xhtml">arm_compute/runtime/CL/CLTensor.h</a>&quot;</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_c_l_simple_function_8h.xhtml">arm_compute/runtime/CL/ICLSimpleFunction.h</a>&quot;</span></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_function_8h.xhtml">arm_compute/runtime/IFunction.h</a>&quot;</span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_memory_manager_8h.xhtml">arm_compute/runtime/IMemoryManager.h</a>&quot;</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="preprocessor">#include &lt;cstdint&gt;</span></div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="preprocessor">#include &lt;memory&gt;</span></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="keyword">namespace </span>arm_compute</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;{</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="keyword">class </span><a class="code" href="namespacearm__compute.xhtml#af87af588094f04e537df98eaf0426cb6">ICLTensor</a>;</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;</div>
<div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_convolution3x3.xhtml"> 49</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_convolution3x3.xhtml">CLConvolution3x3</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_l_simple_function.xhtml">ICLSimpleFunction</a></div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;{</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_convolution3x3.xhtml#a26e1b4686b1f2d591d62d11585114a82">configure</a>(<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 *conv, uint32_t <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2c08fc82f2e4b9733cd0dacd6eabe579">scale</a>, <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> border_mode, uint8_t constant_border_value = 0);</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;};</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;<span class="keyword">template</span> &lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size&gt;</div>
<div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_convolution_square.xhtml"> 72</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_convolution_square.xhtml">CLConvolutionSquare</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;{</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_convolution_square.xhtml#af1fdf57638e930af4a602f3a8393ccc4">CLConvolutionSquare</a>(std::shared_ptr&lt;IMemoryManager&gt; memory_manager = <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_square.xhtml#a26e1b4686b1f2d591d62d11585114a82">configure</a>(<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 *conv, uint32_t <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2c08fc82f2e4b9733cd0dacd6eabe579">scale</a>, <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> border_mode, uint8_t constant_border_value = 0);</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="comment">// Inherited methods overriden:</span></div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>() <span class="keyword">override</span>;</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;<span class="keyword">private</span>:</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <a class="code" href="classarm__compute_1_1_memory_group_base.xhtml">CLMemoryGroup</a> _memory_group; </div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _tmp; </div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keywordtype">bool</span> _is_separable; </div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolutionHorKernel&lt;matrix_size&gt;</a> _kernel_hor; </div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolutionVertKernel&lt;matrix_size&gt;</a> _kernel_vert; </div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_convolution_kernel.xhtml">CLConvolutionKernel&lt;matrix_size&gt;</a> _kernel; </div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_fill_border_kernel.xhtml">CLFillBorderKernel</a> _border_handler; </div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;};</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;</div>
<div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a843447b81f09d837e90d44e6e6bd236d"> 102</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_square.xhtml">CLConvolution5x5</a> = <a class="code" href="classarm__compute_1_1_c_l_convolution_square.xhtml">CLConvolutionSquare&lt;5&gt;</a>;</div>
<div class="line"><a name="l00104"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a1992a8362b7074e709394a5219d16e62"> 104</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_square.xhtml">CLConvolution7x7</a> = <a class="code" href="classarm__compute_1_1_c_l_convolution_square.xhtml">CLConvolutionSquare&lt;7&gt;</a>;</div>
<div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a587dee5d7f05d5e9c3b8704ae8927101"> 106</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_square.xhtml">CLConvolution9x9</a> = <a class="code" href="classarm__compute_1_1_c_l_convolution_square.xhtml">CLConvolutionSquare&lt;9&gt;</a>;</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;</div>
<div class="line"><a name="l00115"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_convolution_rectangle.xhtml"> 115</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle.xhtml">CLConvolutionRectangle</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_l_simple_function.xhtml">ICLSimpleFunction</a></div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;{</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_convolution_rectangle.xhtml#aa0b5cdc99cad00d35521aa756365cef2">configure</a>(<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 *conv, uint32_t rows, uint32_t cols, uint32_t <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2c08fc82f2e4b9733cd0dacd6eabe579">scale</a>, <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> border_mode, uint8_t constant_border_value = 0);</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;};</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160;}</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_CLCONVOLUTION_H__ */</span><span class="preprocessor"></span></div>
<div class="ttc" id="namespacearm__compute_xhtml_a15a05537a472ee742404821851529327"><div class="ttname"><a href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">arm_compute::BorderMode</a></div><div class="ttdeci">BorderMode</div><div class="ttdoc">Methods available to handle borders. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00128">Types.h:128</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_convolution3x3_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution3x3.xhtml">arm_compute::CLConvolution3x3</a></div><div class="ttdoc">Basic function to execute convolution of size 3x3. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_convolution_8h_source.xhtml#l00049">CLConvolution.h:49</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_convolution_square_xhtml_a26e1b4686b1f2d591d62d11585114a82"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_square.xhtml#a26e1b4686b1f2d591d62d11585114a82">arm_compute::CLConvolutionSquare::configure</a></div><div class="ttdeci">void configure(ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value=0)</div><div class="ttdoc">Initialize the function&#39;s source, destination, conv and border_mode. </div></div>
<div class="ttc" id="classarm__compute_1_1_i_function_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_function.xhtml">arm_compute::IFunction</a></div><div class="ttdoc">Base class for all functions. </div><div class="ttdef"><b>Definition:</b> <a href="_i_function_8h_source.xhtml#l00030">IFunction.h:30</a></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="classarm__compute_1_1_c_l_convolution_square_xhtml_af1fdf57638e930af4a602f3a8393ccc4"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_square.xhtml#af1fdf57638e930af4a602f3a8393ccc4">arm_compute::CLConvolutionSquare::CLConvolutionSquare</a></div><div class="ttdeci">CLConvolutionSquare(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)</div><div class="ttdoc">Default constructor. </div></div>
<div class="ttc" id="_i_memory_manager_8h_xhtml"><div class="ttname"><a href="_i_memory_manager_8h.xhtml">IMemoryManager.h</a></div></div>
<div class="ttc" id="_c_l_tensor_8h_xhtml"><div class="ttname"><a href="_c_l_tensor_8h.xhtml">CLTensor.h</a></div></div>
<div class="ttc" id="_i_c_l_simple_function_8h_xhtml"><div class="ttname"><a href="_i_c_l_simple_function_8h.xhtml">ICLSimpleFunction.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_convolution_rectangle_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_rectangle.xhtml">arm_compute::CLConvolutionRectangle</a></div><div class="ttdoc">Basic function to execute non-square convolution. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_convolution_8h_source.xhtml#l00115">CLConvolution.h:115</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_convolution_square_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_square.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::CLConvolutionSquare::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function. </div></div>
<div class="ttc" id="_c_l_memory_group_8h_xhtml"><div class="ttname"><a href="_c_l_memory_group_8h.xhtml">CLMemoryGroup.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_c_l_simple_function_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_simple_function.xhtml">arm_compute::ICLSimpleFunction</a></div><div class="ttdoc">Basic interface for functions which have a single OpenCL kernel. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_simple_function_8h_source.xhtml#l00036">ICLSimpleFunction.h:36</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_convolution_rectangle_xhtml_aa0b5cdc99cad00d35521aa756365cef2"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_rectangle.xhtml#aa0b5cdc99cad00d35521aa756365cef2">arm_compute::CLConvolutionRectangle::configure</a></div><div class="ttdeci">void configure(ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t rows, uint32_t cols, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value=0)</div><div class="ttdoc">Initialize the function&#39;s source, destination, conv and border_mode. </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_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="_c_l_fill_border_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_fill_border_kernel_8h.xhtml">CLFillBorderKernel.h</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_c_l_convolution_square_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution_square.xhtml">arm_compute::CLConvolutionSquare</a></div><div class="ttdoc">Basic function to execute square convolution.Currently it supports 5x5, 7x7, 9x9. ...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_convolution_8h_source.xhtml#l00072">CLConvolution.h:72</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_fill_border_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_fill_border_kernel.xhtml">arm_compute::CLFillBorderKernel</a></div><div class="ttdoc">Interface for filling the border of a kernel. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_fill_border_kernel_8h_source.xhtml#l00036">CLFillBorderKernel.h:36</a></div></div>
<div class="ttc" id="classarm__compute_1_1_memory_group_base_xhtml"><div class="ttname"><a href="classarm__compute_1_1_memory_group_base.xhtml">arm_compute::MemoryGroupBase&lt; CLTensor &gt;</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="classarm__compute_1_1_c_l_convolution3x3_xhtml_a26e1b4686b1f2d591d62d11585114a82"><div class="ttname"><a href="classarm__compute_1_1_c_l_convolution3x3.xhtml#a26e1b4686b1f2d591d62d11585114a82">arm_compute::CLConvolution3x3::configure</a></div><div class="ttdeci">void configure(ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value=0)</div><div class="ttdoc">Initialize the function&#39;s source, destination, conv and border_mode. </div></div>
<div class="ttc" id="_i_function_8h_xhtml"><div class="ttname"><a href="_i_function_8h.xhtml">IFunction.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a2c08fc82f2e4b9733cd0dacd6eabe579"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2c08fc82f2e4b9733cd0dacd6eabe579">arm_compute::test::validation::reference::scale</a></div><div class="ttdeci">SimpleTensor&lt; T &gt; scale(const SimpleTensor&lt; T &gt; &amp;in, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, T constant_border_value)</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_scale_8cpp_source.xhtml#l00039">Scale.cpp:39</a></div></div>
<div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div>
<div class="ttc" id="_c_l_convolution_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_convolution_kernel_8h.xhtml">CLConvolutionKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml">arm_compute::CLTensor</a></div><div class="ttdoc">Basic implementation of the OpenCL tensor interface. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8h_source.xhtml#l00039">CLTensor.h:39</a></div></div>
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