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<div id="projectname">Compute Library
-  <span id="projectnumber">18.03</span>
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<div class="title">CLGaussian5x5Kernel.h</div> </div>
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<div class="contents">
-<a href="_c_l_gaussian5x5_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_CLGAUSSIAN5X5KERNEL_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_CLGAUSSIAN5X5KERNEL_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="_c_l_convolution_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLConvolutionKernel.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="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></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">class </span>
<a class="code" href="namespacearm__compute.xhtml#af87af588094f04e537df98eaf0426cb6">ICLTensor</a>;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00034"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_gaussian5x5_hor_kernel.xhtml"> 34</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_gaussian5x5_hor_kernel.xhtml">CLGaussian5x5HorKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolution5x5HorKernel</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">public</span>:</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_gaussian5x5_hor_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8">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="keywordtype">bool</span> border_undefined);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="comment">//Make the configure method of the parent class private</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml#a3fac04034e1bd9deaac9fd1451e77f4f">CLSeparableConvolution5x5HorKernel::configure</a>;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> };</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_gaussian5x5_vert_kernel.xhtml"> 51</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_gaussian5x5_vert_kernel.xhtml">CLGaussian5x5VertKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolution5x5VertKernel</a></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> {</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_gaussian5x5_hor_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8">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="keywordtype">bool</span> border_undefined);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="comment">//Make the configure method of the parent class private</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml#a3c4d5524c637d3964eaeb6040f53d436">CLSeparableConvolution5x5VertKernel::configure</a>;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> };</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_CLGAUSSIAN5X5KERNEL_H__ */</span><span class="preprocessor"></span></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>
+<a href="_c_l_gaussian5x5_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_CLGAUSSIAN5X5KERNEL_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_CLGAUSSIAN5X5KERNEL_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="_c_l_convolution_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLConvolutionKernel.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="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></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">class </span>
ICLTensor;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00034"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_gaussian5x5_hor_kernel.xhtml"> 34</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_gaussian5x5_hor_kernel.xhtml">CLGaussian5x5HorKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml">CLSeparableConvolution5x5HorKernel</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">public</span>:</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_gaussian5x5_hor_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8">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="keywordtype">bool</span> border_undefined);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="comment">//Make the configure method of the parent class private</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml#a3fac04034e1bd9deaac9fd1451e77f4f">CLSeparableConvolution5x5HorKernel::configure</a>;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> };</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_gaussian5x5_vert_kernel.xhtml"> 51</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_gaussian5x5_vert_kernel.xhtml">CLGaussian5x5VertKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml">CLSeparableConvolution5x5VertKernel</a></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> {</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_gaussian5x5_hor_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8">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="keywordtype">bool</span> border_undefined);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="comment">//Make the configure method of the parent class private</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml#a3c4d5524c637d3964eaeb6040f53d436">CLSeparableConvolution5x5VertKernel::configure</a>;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> };</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_CLGAUSSIAN5X5KERNEL_H__ */</span><span class="preprocessor"></span></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_gaussian5x5_hor_kernel_xhtml_a67b0c2ccd2c37a8d29fa6cc4b26795d8"><div class="ttname"><a href="classarm__compute_1_1_c_l_gaussian5x5_hor_kernel.xhtml#a67b0c2ccd2c37a8d29fa6cc4b26795d8">arm_compute::CLGaussian5x5HorKernel::configure</a></div><div class="ttdeci">void configure(const ICLTensor *input, ICLTensor *output, bool border_undefined)</div><div class="ttdoc">Initialise the kernel&#39;s source, destination and border. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_separable_convolution_vert_kernel_xhtml_a3c4d5524c637d3964eaeb6040f53d436"><div class="ttname"><a href="classarm__compute_1_1_c_l_separable_convolution_vert_kernel.xhtml#a3c4d5524c637d3964eaeb6040f53d436">arm_compute::CLSeparableConvolutionVertKernel::configure</a></div><div class="ttdeci">void configure(const ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t scale, bool border_undefined, DataType data_type=DataType::S32)</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_gaussian5x5_vert_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_gaussian5x5_vert_kernel.xhtml">arm_compute::CLGaussian5x5VertKernel</a></div><div class="ttdoc">Interface for the kernel to run the vertical pass of 5x5 Gaussian filter on a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_gaussian5x5_kernel_8h_source.xhtml#l00051">CLGaussian5x5Kernel.h:51</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="classarm__compute_1_1_c_l_separable_convolution_hor_kernel_xhtml_a3fac04034e1bd9deaac9fd1451e77f4f"><div class="ttname"><a href="classarm__compute_1_1_c_l_separable_convolution_hor_kernel.xhtml#a3fac04034e1bd9deaac9fd1451e77f4f">arm_compute::CLSeparableConvolutionHorKernel::configure</a></div><div class="ttdeci">void configure(const ICLTensor *input, ICLTensor *output, const int16_t *conv, bool border_undefined)</div><div class="ttdoc">Initialise the kernel&#39;s input, output and border mode. </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="_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_gaussian5x5_hor_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_gaussian5x5_hor_kernel.xhtml">arm_compute::CLGaussian5x5HorKernel</a></div><div class="ttdoc">Interface for the kernel to run the horizontal pass of 5x5 Gaussian filter on a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_gaussian5x5_kernel_8h_source.xhtml#l00034">CLGaussian5x5Kernel.h:34</a></div></div>
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<li class="navelem"><a class="el" href="dir_214608ef36d61442cb2b0c1c4e9a7def.xhtml">arm_compute</a></li><li class="navelem"><a class="el" href="dir_1fb090f0c6070330bfaccc4236d3ca0d.xhtml">core</a></li><li class="navelem"><a class="el" href="dir_1633709b037eda5b8477677909f78129.xhtml">CL</a></li><li class="navelem"><a class="el" href="dir_f906bbebc596bc606d589ccb705e6595.xhtml">kernels</a></li><li class="navelem"><a class="el" href="_c_l_gaussian5x5_kernel_8h.xhtml">CLGaussian5x5Kernel.h</a></li>
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projects / platform / upstream / armcl.git / blobdiff