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<div id="projectname">Compute Library
-  <span id="projectnumber">18.03</span>
+  <span id="projectnumber">18.05</span>
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<div class="title">NEConvolution.h</div> </div>
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<div class="contents">
-<a href="_n_e_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> <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_NECONVOLUTION_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_NECONVOLUTION_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="_n_e_convolution_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEConvolutionKernel.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_n_e_fill_border_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEFillBorderKernel.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_i_function_8h.xhtml">arm_compute/runtime/IFunction.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="_i_memory_manager_8h.xhtml">arm_compute/runtime/IMemoryManager.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_memory_group_8h.xhtml">arm_compute/runtime/MemoryGroup.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="_i_n_e_simple_function_8h.xhtml">arm_compute/runtime/NEON/INESimpleFunction.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="runtime_2_tensor_8h.xhtml">arm_compute/runtime/Tensor.h</a>"</span></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="preprocessor">#include <cstdint></span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include <memory></span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">class </span>ITensor;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_convolution3x3.xhtml"> 49</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_convolution3x3.xhtml">NEConvolution3x3</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_n_e_simple_function.xhtml">INESimpleFunction</a></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> {</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution3x3.xhtml#a58d050865536a28b56a92eeaf3ac478e">configure</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adf88bb8e946175c496fb362aa458128b">conv</a>, uint32_t <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>, <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">border_mode</a>, uint8_t constant_border_value = 0);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> };</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="keyword">template</span> <<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size></div><div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_convolution_square.xhtml"> 72</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_convolution_square.xhtml">NEConvolutionSquare</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> {</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarm__compute_1_1_n_e_convolution_square.xhtml">NEConvolutionSquare</a>(std::shared_ptr<IMemoryManager> memory_manager = <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution3x3.xhtml#a58d050865536a28b56a92eeaf3ac478e">configure</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adf88bb8e946175c496fb362aa458128b">conv</a>, uint32_t <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>, <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">border_mode</a>, uint8_t constant_border_value = 0);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_i_n_e_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">run</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="classarm__compute_1_1_memory_group_base.xhtml">MemoryGroup</a> _memory_group; </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _tmp; </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordtype">bool</span> _is_separable; </div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolutionHorKernel<matrix_size></a> _kernel_hor; </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolutionVertKernel<matrix_size></a> _kernel_vert; </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel<matrix_size></a> _kernel; </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="classarm__compute_1_1_n_e_fill_border_kernel.xhtml">NEFillBorderKernel</a> _border_handler; </div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> };</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#adbc7771d367ba8f51da1450d3602e5c0"> 102</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_square.xhtml">NEConvolution5x5</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_square.xhtml">NEConvolutionSquare<5></a>;</div><div class="line"><a name="l00104"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#aeb2682fbeb2766df26b4be1971c9757d"> 104</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_square.xhtml">NEConvolution7x7</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_square.xhtml">NEConvolutionSquare<7></a>;</div><div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ae5a088552f26a1afafd0cbf821d256fb"> 106</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_square.xhtml">NEConvolution9x9</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_square.xhtml">NEConvolutionSquare<9></a>;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00115"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_convolution_rectangle.xhtml"> 115</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle.xhtml">NEConvolutionRectangle</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_n_e_simple_function.xhtml">INESimpleFunction</a></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> {</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution3x3.xhtml#a58d050865536a28b56a92eeaf3ac478e">configure</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adf88bb8e946175c496fb362aa458128b">conv</a>, uint32_t rows, uint32_t cols, uint32_t <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>, <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">border_mode</a>, uint8_t constant_border_value = 0);</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="l00132"></a><span class="lineno"> 132</span> <span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_NECONVOLUTION_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#l00221">Types.h:221</a></div></div>
+<a href="_n_e_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> <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_NECONVOLUTION_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_NECONVOLUTION_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="_n_e_convolution_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEConvolutionKernel.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_n_e_fill_border_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEFillBorderKernel.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_i_function_8h.xhtml">arm_compute/runtime/IFunction.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="_i_memory_manager_8h.xhtml">arm_compute/runtime/IMemoryManager.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_memory_group_8h.xhtml">arm_compute/runtime/MemoryGroup.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="_i_n_e_simple_function_8h.xhtml">arm_compute/runtime/NEON/INESimpleFunction.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="runtime_2_tensor_8h.xhtml">arm_compute/runtime/Tensor.h</a>"</span></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="preprocessor">#include <cstdint></span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include <memory></span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">class </span>ITensor;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_convolution3x3.xhtml"> 49</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_convolution3x3.xhtml">NEConvolution3x3</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_n_e_simple_function.xhtml">INESimpleFunction</a></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> {</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution3x3.xhtml#a58d050865536a28b56a92eeaf3ac478e">configure</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adf88bb8e946175c496fb362aa458128b">conv</a>, uint32_t <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>, <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">border_mode</a>, uint8_t constant_border_value = 0);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> };</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="keyword">template</span> <<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size></div><div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_convolution_square.xhtml"> 72</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_convolution_square.xhtml">NEConvolutionSquare</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> {</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarm__compute_1_1_n_e_convolution_square.xhtml">NEConvolutionSquare</a>(std::shared_ptr<IMemoryManager> memory_manager = <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution3x3.xhtml#a58d050865536a28b56a92eeaf3ac478e">configure</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adf88bb8e946175c496fb362aa458128b">conv</a>, uint32_t <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>, <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">border_mode</a>, uint8_t constant_border_value = 0);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_i_n_e_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">run</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="classarm__compute_1_1_memory_group_base.xhtml">MemoryGroup</a> _memory_group; </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _tmp; </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordtype">bool</span> _is_separable; </div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolutionHorKernel<matrix_size></a> _kernel_hor; </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolutionVertKernel<matrix_size></a> _kernel_vert; </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel<matrix_size></a> _kernel; </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="classarm__compute_1_1_n_e_fill_border_kernel.xhtml">NEFillBorderKernel</a> _border_handler; </div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> };</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#adbc7771d367ba8f51da1450d3602e5c0"> 102</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_square.xhtml">NEConvolution5x5</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_square.xhtml">NEConvolutionSquare<5></a>;</div><div class="line"><a name="l00104"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#aeb2682fbeb2766df26b4be1971c9757d"> 104</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_square.xhtml">NEConvolution7x7</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_square.xhtml">NEConvolutionSquare<7></a>;</div><div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ae5a088552f26a1afafd0cbf821d256fb"> 106</a></span> <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_square.xhtml">NEConvolution9x9</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_square.xhtml">NEConvolutionSquare<9></a>;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00115"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_convolution_rectangle.xhtml"> 115</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle.xhtml">NEConvolutionRectangle</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_n_e_simple_function.xhtml">INESimpleFunction</a></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> {</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution3x3.xhtml#a58d050865536a28b56a92eeaf3ac478e">configure</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adf88bb8e946175c496fb362aa458128b">conv</a>, uint32_t rows, uint32_t cols, uint32_t <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>, <a class="code" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">border_mode</a>, uint8_t constant_border_value = 0);</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="l00132"></a><span class="lineno"> 132</span> <span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_NECONVOLUTION_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#l00283">Types.h:283</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_vert_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">arm_compute::NESeparableConvolutionVertKernel</a></div><div class="ttdoc">Kernel for the Vertical pass of a Separable Convolution. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_kernel_8h_source.xhtml#l00146">NEConvolutionKernel.h:146</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">arm_compute::NEConvolutionKernel</a></div><div class="ttdoc">Interface for the kernel to run an arbitrary size convolution on a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_kernel_8h_source.xhtml#l00055">NEConvolutionKernel.h:55</a></div></div>
<div class="ttc" id="classarm__compute_1_1_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_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor.xhtml">arm_compute::Tensor</a></div><div class="ttdoc">Basic implementation of the tensor interface. </div><div class="ttdef"><b>Definition:</b> <a href="runtime_2_tensor_8h_source.xhtml#l00037">Tensor.h:37</a></div></div>
<div class="ttc" id="_memory_group_8h_xhtml"><div class="ttname"><a href="_memory_group_8h.xhtml">MemoryGroup.h</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< Tensor ></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_n_e_convolution3x3_xhtml_a58d050865536a28b56a92eeaf3ac478e"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution3x3.xhtml#a58d050865536a28b56a92eeaf3ac478e">arm_compute::NEConvolution3x3::configure</a></div><div class="ttdeci">void configure(ITensor *input, ITensor *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="classarm__compute_1_1_i_n_e_simple_function_xhtml_ab5fd6e96c07aaaed2747c7e16ed5951e"><div class="ttname"><a href="classarm__compute_1_1_i_n_e_simple_function.xhtml#ab5fd6e96c07aaaed2747c7e16ed5951e">arm_compute::INESimpleFunction::run</a></div><div class="ttdeci">void run() overridefinal</div><div class="ttdoc">Run the kernels contained in the function. </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_8bc26130589aa16388b5a02f17abf2c2.xhtml">runtime</a></li><li class="navelem"><a class="el" href="dir_65e289039e1347f87d412b0a1b1a312c.xhtml">NEON</a></li><li class="navelem"><a class="el" href="dir_345bd7154d1542d1e03fd2836959a19d.xhtml">functions</a></li><li class="navelem"><a class="el" href="_n_e_convolution_8h.xhtml">NEConvolution.h</a></li>
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