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 113 <div class="header">
 114   <div class="headertitle">
 115 <div class="title">NEConvolutionKernel.h</div>  </div>
 116 </div><!--header-->
 117 <div class="contents">
 118 <a href="_n_e_convolution_kernel_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div>
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 140 <div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div>
 141 <div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#ifndef __ARM_COMPUTE_NECONVOLUTIONKERNEL_H__</span></div>
 142 <div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor"></span><span class="preprocessor">#define __ARM_COMPUTE_NECONVOLUTIONKERNEL_H__</span></div>
 143 <div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor"></span></div>
 144 <div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_n_e_kernel_8h.xhtml">arm_compute/core/NEON/INEKernel.h</a>&quot;</span></div>
 145 <div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_n_e_simple_kernel_8h.xhtml">arm_compute/core/NEON/INESimpleKernel.h</a>&quot;</span></div>
 146 <div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;</div>
 147 <div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &lt;array&gt;</span></div>
 148 <div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="preprocessor">#include &lt;cstdint&gt;</span></div>
 149 <div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#include &lt;vector&gt;</span></div>
 150 <div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;</div>
 151 <div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="keyword">namespace </span>arm_compute</div>
 152 <div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;{</div>
 153 <div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="keyword">class </span>ITensor;</div>
 154 <div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;</div>
 155 <div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="comment">/****************************************************************************************\</span></div>
 156 <div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="comment"> *                                    Square Convolution                                *</span></div>
 157 <div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="comment">\****************************************************************************************/</span></div>
 158 <div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;</div>
 159 <div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="keyword">template</span> &lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size&gt;</div>
 160 <div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">   55</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">INESimpleKernel</a></div>
 161 <div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;{</div>
 162 <div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;<span class="keyword">public</span>:</div>
 163 <div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a230a4894adf8380eca9e8c2aac03e9b8">NEConvolutionKernel</a>();</div>
 164 <div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8873a8f053f3d2322e297409645c6222">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *conv, uint32_t <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2c08fc82f2e4b9733cd0dacd6eabe579">scale</a>, <span class="keywordtype">bool</span> border_undefined);</div>
 165 <div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;</div>
 166 <div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    <span class="comment">// Inherited methods overridden:</span></div>
 167 <div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>) <span class="keyword">override</span>;</div>
 168 <div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div>
 169 <div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;</div>
 170 <div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;<span class="keyword">private</span>:</div>
 171 <div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> OutputType&gt;</div>
 172 <div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    <span class="keywordtype">void</span> convolution(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;win);</div>
 173 <div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;</div>
 174 <div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;<span class="keyword">protected</span>:</div>
 175 <div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    uint32_t _scale;                                             </div>
 176 <div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    std::array&lt;int16_t, matrix_size *matrix_size&gt; _convolution;  </div>
 177 <div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;};</div>
 178 <div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;</div>
 179 <div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#acf81639b3d33b5da654ef088e4d10520">   84</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolution3x3Kernel</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel&lt;3&gt;</a>;</div>
 180 <div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a21898b2d2e31ab9af8933c66ff82c8c6">   86</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolution5x5Kernel</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel&lt;5&gt;</a>;</div>
 181 <div class="line"><a name="l00088"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ae46cbbe03d31c6c8e7eba7b58999842d">   88</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolution7x7Kernel</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel&lt;7&gt;</a>;</div>
 182 <div class="line"><a name="l00090"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a1025306f820a9e76df7e5891caacff7b">   90</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolution9x9Kernel</a> = <a class="code" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel&lt;9&gt;</a>;</div>
 183 <div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;</div>
 184 <div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;<span class="comment">/****************************************************************************************\</span></div>
 185 <div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;<span class="comment"> *                              Separable Square Convolution                            *</span></div>
 186 <div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;<span class="comment">\****************************************************************************************/</span></div>
 187 <div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;</div>
 188 <div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;<span class="keyword">template</span> &lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size&gt;</div>
 189 <div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">   98</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolutionHorKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">INESimpleKernel</a></div>
 190 <div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;{</div>
 191 <div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;<span class="keyword">public</span>:</div>
 192 <div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a965a154580e00968b45aa6268986cd51">NESeparableConvolutionHorKernel</a>();</div>
 193 <div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;</div>
 194 <div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a2047b01f2cdd57602126cccb6bd08625">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *conv_row, <span class="keywordtype">bool</span> border_undefined);</div>
 195 <div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;</div>
 196 <div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;    <span class="comment">// Inherited methods overridden:</span></div>
 197 <div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>) <span class="keyword">override</span>;</div>
 198 <div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;    <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div>
 199 <div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;</div>
 200 <div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;<span class="keyword">private</span>:</div>
 201 <div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> OutputType&gt;</div>
 202 <div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    <span class="keywordtype">void</span> convolve(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;window);</div>
 203 <div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;</div>
 204 <div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    std::array&lt;int16_t, matrix_size&gt; _conv_row; </div>
 205 <div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> _border_size;                    </div>
 206 <div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;};</div>
 207 <div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;</div>
 208 <div class="line"><a name="l00130"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ac78a7593874c21cff86478c1ba6df27b">  130</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolution5x5HorKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolutionHorKernel&lt;5&gt;</a>;</div>
 209 <div class="line"><a name="l00132"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#aca4adbcd292c26b0e392c59875c1e926">  132</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolution7x7HorKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolutionHorKernel&lt;7&gt;</a>;</div>
 210 <div class="line"><a name="l00134"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a4ba5f6b7cd6b70b75e42149f3bc08f38">  134</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolution9x9HorKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolutionHorKernel&lt;9&gt;</a>;</div>
 211 <div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;</div>
 212 <div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;<span class="keyword">template</span> &lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> matrix_size&gt;</div>
 213 <div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">  138</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolutionVertKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">INESimpleKernel</a></div>
 214 <div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;{</div>
 215 <div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;<span class="keyword">public</span>:</div>
 216 <div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ac3aaa23fc2c41fdb7a6de14841631fbd">NESeparableConvolutionVertKernel</a>();</div>
 217 <div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;</div>
 218 <div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ad5b2a12ea8d073422e0615efca68ee22">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *conv_col, uint32_t <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2c08fc82f2e4b9733cd0dacd6eabe579">scale</a>, <span class="keywordtype">bool</span> border_undefined);</div>
 219 <div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;</div>
 220 <div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;    <span class="comment">// Inherited methods overridden:</span></div>
 221 <div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>) <span class="keyword">override</span>;</div>
 222 <div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;    <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div>
 223 <div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;</div>
 224 <div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;<span class="keyword">private</span>:</div>
 225 <div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> OutputType&gt;</div>
 226 <div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;    <span class="keywordtype">void</span> convolution_u16(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;win);</div>
 227 <div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> OutputType&gt;</div>
 228 <div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;    <span class="keywordtype">void</span> convolution_s16(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;win);</div>
 229 <div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> OutputType&gt;</div>
 230 <div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;    <span class="keywordtype">void</span> convolution_s32(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;win);</div>
 231 <div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;</div>
 232 <div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    std::array&lt;int16_t, matrix_size&gt; _conv_col; </div>
 233 <div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;    uint32_t _scale;                            </div>
 234 <div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;};</div>
 235 <div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;</div>
 236 <div class="line"><a name="l00186"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ae4152320657df499674ed64b16c28a7b">  186</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolution5x5VertKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolutionVertKernel&lt;5&gt;</a>;</div>
 237 <div class="line"><a name="l00188"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a0f952bd0821b506e18514a3f4dbc6c39">  188</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolution7x7VertKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolutionVertKernel&lt;7&gt;</a>;</div>
 238 <div class="line"><a name="l00190"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a6310d21f215fface41df4cde725a62b9">  190</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolution9x9VertKernel</a> = <a class="code" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolutionVertKernel&lt;9&gt;</a>;</div>
 239 <div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;</div>
 240 <div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;<span class="comment">/****************************************************************************************\</span></div>
 241 <div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;<span class="comment"> *                                 Rectangle Convolution                                *</span></div>
 242 <div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;<span class="comment">\****************************************************************************************/</span></div>
 243 <div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;</div>
 244 <div class="line"><a name="l00200"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">  200</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">INEKernel</a></div>
 245 <div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;{</div>
 246 <div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;<span class="keyword">public</span>:</div>
 247 <div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a437bfa972bdb089215368c344cce05d3">NEConvolutionRectangleKernel</a>();</div>
 248 <div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a437bfa972bdb089215368c344cce05d3">NEConvolutionRectangleKernel</a>(<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;) = <span class="keyword">delete</span>;</div>
 249 <div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a346f0286bbc7dc19e4aa25ae6acd57e8">operator=</a>(<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;) = <span class="keyword">delete</span>;</div>
 250 <div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a437bfa972bdb089215368c344cce05d3">NEConvolutionRectangleKernel</a>(<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div>
 251 <div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a346f0286bbc7dc19e4aa25ae6acd57e8">operator=</a>(<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div>
 252 <div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a3bb75d0640105ec72239550ec8a086b9">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> int16_t *conv, uint32_t width, uint32_t height, uint32_t <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a2c08fc82f2e4b9733cd0dacd6eabe579">scale</a>, <span class="keywordtype">bool</span> border_undefined);</div>
 253 <div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;</div>
 254 <div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;    <span class="comment">// Inherited methods overridden:</span></div>
 255 <div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>) <span class="keyword">override</span>;</div>
 256 <div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;    <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> <a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a>() <span class="keyword">const override</span>;</div>
 257 <div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;</div>
 258 <div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;<span class="keyword">private</span>:</div>
 259 <div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> get_index(uint32_t val);</div>
 260 <div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> OutputType, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> rows, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> cols&gt;</div>
 261 <div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    <span class="keywordtype">void</span> convolution(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;win);</div>
 262 <div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;</div>
 263 <div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;<span class="keyword">protected</span>:</div>
 264 <div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a>            *_input;       </div>
 265 <div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;    <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a>                  *_output;      </div>
 266 <div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;    uint32_t                  _scale;       </div>
 267 <div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;    std::vector&lt;int16_t&gt;      _convolution; </div>
 268 <div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;    <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>                _border_size; </div>
 269 <div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;    uint32_t                  _func_idx;    </div>
 270 <div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;    <span class="keyword">const</span> <span class="keyword">static</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _nr_supported_sizes</div>
 271 <div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;    {</div>
 272 <div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;        4</div>
 273 <div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;    }; </div>
 274 <div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;};</div>
 275 <div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;} <span class="comment">// namespace arm_compute</span></div>
 276 <div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_NECONVOLUTIONKERNEL_H__ */</span><span class="preprocessor"></span></div>
 277 <div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_vert_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">arm_compute::NESeparableConvolutionVertKernel</a></div><div class="ttdoc">Kernel for the Vertical pass of a Separable Convolution. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_kernel_8h_source.xhtml#l00138">NEConvolutionKernel.h:138</a></div></div>
 278 <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>
 279 <div class="ttc" id="classarm__compute_1_1_n_e_convolution_kernel_xhtml_a8873a8f053f3d2322e297409645c6222"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a8873a8f053f3d2322e297409645c6222">arm_compute::NEConvolutionKernel::configure</a></div><div class="ttdeci">void configure(const ITensor *input, ITensor *output, const int16_t *conv, uint32_t scale, bool border_undefined)</div><div class="ttdoc">Initialise the kernel&#39;s input, output and border mode. </div></div>
 280 <div class="ttc" id="_i_n_e_simple_kernel_8h_xhtml"><div class="ttname"><a href="_i_n_e_simple_kernel_8h.xhtml">INESimpleKernel.h</a></div></div>
 281 <div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_hor_kernel_xhtml_a423f9a45a52983b4de5e2b347f4369c7"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">arm_compute::NESeparableConvolutionHorKernel::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>
 282 <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#l00136">Types.h:136</a></div></div>
 283 <div class="ttc" id="classarm__compute_1_1_i_c_p_p_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">arm_compute::ICPPKernel</a></div><div class="ttdoc">Common interface for all kernels implemented in C++. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_p_p_kernel_8h_source.xhtml#l00035">ICPPKernel.h:35</a></div></div>
 284 <div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_vert_kernel_xhtml_a112b35dd205c62ea6ed1447ef226da82"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">arm_compute::NESeparableConvolutionVertKernel::run</a></div><div class="ttdeci">void run(const Window &amp;window, const ThreadInfo &amp;info) override</div><div class="ttdoc">Execute the kernel on the passed window. </div></div>
 285 <div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_hor_kernel_xhtml_a112b35dd205c62ea6ed1447ef226da82"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">arm_compute::NESeparableConvolutionHorKernel::run</a></div><div class="ttdeci">void run(const Window &amp;window, const ThreadInfo &amp;info) override</div><div class="ttdoc">Execute the kernel on the passed window. </div></div>
 286 <div class="ttc" id="classarm__compute_1_1_n_e_convolution_rectangle_kernel_xhtml_a437bfa972bdb089215368c344cce05d3"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a437bfa972bdb089215368c344cce05d3">arm_compute::NEConvolutionRectangleKernel::NEConvolutionRectangleKernel</a></div><div class="ttdeci">NEConvolutionRectangleKernel()</div><div class="ttdoc">Default constructor. </div></div>
 287 <div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_hor_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">arm_compute::NESeparableConvolutionHorKernel</a></div><div class="ttdoc">Kernel for the Horizontal pass of a Separable Convolution. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_kernel_8h_source.xhtml#l00098">NEConvolutionKernel.h:98</a></div></div>
 288 <div class="ttc" id="classarm__compute_1_1_i_c_p_p_simple_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_p_p_simple_kernel.xhtml">arm_compute::ICPPSimpleKernel</a></div><div class="ttdoc">Interface for simple NEON kernels having 1 tensor input and 1 tensor output. </div><div class="ttdef"><b>Definition:</b> <a href="_i_c_p_p_simple_kernel_8h_source.xhtml#l00034">ICPPSimpleKernel.h:34</a></div></div>
 289 <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div>
 290 <div class="ttc" id="classarm__compute_1_1_n_e_convolution_rectangle_kernel_xhtml_a423f9a45a52983b4de5e2b347f4369c7"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">arm_compute::NEConvolutionRectangleKernel::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>
 291 <div class="ttc" id="classarm__compute_1_1_n_e_convolution_rectangle_kernel_xhtml_a346f0286bbc7dc19e4aa25ae6acd57e8"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a346f0286bbc7dc19e4aa25ae6acd57e8">arm_compute::NEConvolutionRectangleKernel::operator=</a></div><div class="ttdeci">NEConvolutionRectangleKernel &amp; operator=(NEConvolutionRectangleKernel &amp;)=delete</div><div class="ttdoc">Prevent instances of this class from being copied (As this class contains pointers) ...</div></div>
 292 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a096668313a9a819d54a2e65ec21ff0cc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">arm_compute::test::validation::info</a></div><div class="ttdeci">src info() -&gt; set_format(Format::S16)</div></div>
 293 <div class="ttc" id="classarm__compute_1_1_n_e_convolution_rectangle_kernel_xhtml_a3bb75d0640105ec72239550ec8a086b9"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a3bb75d0640105ec72239550ec8a086b9">arm_compute::NEConvolutionRectangleKernel::configure</a></div><div class="ttdeci">void configure(const ITensor *input, ITensor *output, const int16_t *conv, uint32_t width, uint32_t height, uint32_t scale, bool border_undefined)</div><div class="ttdoc">Initialise the kernel&#39;s input, output and border mode. </div></div>
 294 <div class="ttc" id="classarm__compute_1_1_n_e_convolution_rectangle_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">arm_compute::NEConvolutionRectangleKernel</a></div><div class="ttdoc">Kernel for the running convolution on a rectangle matrix. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_kernel_8h_source.xhtml#l00200">NEConvolutionKernel.h:200</a></div></div>
 295 <div class="ttc" id="classarm__compute_1_1_n_e_convolution_kernel_xhtml_a112b35dd205c62ea6ed1447ef226da82"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">arm_compute::NEConvolutionKernel::run</a></div><div class="ttdeci">void run(const Window &amp;window, const ThreadInfo &amp;info) override</div><div class="ttdoc">Execute the kernel on the passed window. </div></div>
 296 <div class="ttc" id="classarm__compute_1_1_n_e_convolution_kernel_xhtml_a423f9a45a52983b4de5e2b347f4369c7"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">arm_compute::NEConvolutionKernel::border_size</a></div><div class="ttdeci">BorderSize border_size() const override</div><div class="ttdoc">The size of the border for that kernel. </div></div>
 297 <div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_hor_kernel_xhtml_a965a154580e00968b45aa6268986cd51"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a965a154580e00968b45aa6268986cd51">arm_compute::NESeparableConvolutionHorKernel::NESeparableConvolutionHorKernel</a></div><div class="ttdeci">NESeparableConvolutionHorKernel()</div><div class="ttdoc">Default constructor. </div></div>
 298 <div class="ttc" id="classarm__compute_1_1_n_e_convolution_kernel_xhtml_a230a4894adf8380eca9e8c2aac03e9b8"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a230a4894adf8380eca9e8c2aac03e9b8">arm_compute::NEConvolutionKernel::NEConvolutionKernel</a></div><div class="ttdeci">NEConvolutionKernel()</div><div class="ttdoc">Default constructor. </div></div>
 299 <div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_vert_kernel_xhtml_ad5b2a12ea8d073422e0615efca68ee22"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ad5b2a12ea8d073422e0615efca68ee22">arm_compute::NESeparableConvolutionVertKernel::configure</a></div><div class="ttdeci">void configure(const ITensor *input, ITensor *output, const int16_t *conv_col, uint32_t scale, bool border_undefined)</div><div class="ttdoc">Initialise the kernel&#39;s input, output and border mode. </div></div>
 300 <div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_vert_kernel_xhtml_ac3aaa23fc2c41fdb7a6de14841631fbd"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ac3aaa23fc2c41fdb7a6de14841631fbd">arm_compute::NESeparableConvolutionVertKernel::NESeparableConvolutionVertKernel</a></div><div class="ttdeci">NESeparableConvolutionVertKernel()</div><div class="ttdoc">Default constructor. </div></div>
 301 <div class="ttc" id="structarm__compute_1_1_thread_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_thread_info.xhtml">arm_compute::ThreadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_types_8h_source.xhtml#l00058">CPPTypes.h:58</a></div></div>
 302 <div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_hor_kernel_xhtml_a2047b01f2cdd57602126cccb6bd08625"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a2047b01f2cdd57602126cccb6bd08625">arm_compute::NESeparableConvolutionHorKernel::configure</a></div><div class="ttdeci">void configure(const ITensor *input, ITensor *output, const int16_t *conv_row, bool border_undefined)</div><div class="ttdoc">Initialise the kernel&#39;s input, output and border mode. </div></div>
 303 <div class="ttc" id="classarm__compute_1_1_n_e_separable_convolution_vert_kernel_xhtml_a423f9a45a52983b4de5e2b347f4369c7"><div class="ttname"><a href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">arm_compute::NESeparableConvolutionVertKernel::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>
 304 <div class="ttc" id="classarm__compute_1_1_n_e_convolution_rectangle_kernel_xhtml_a112b35dd205c62ea6ed1447ef226da82"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">arm_compute::NEConvolutionRectangleKernel::run</a></div><div class="ttdeci">void run(const Window &amp;window, const ThreadInfo &amp;info) override</div><div class="ttdoc">Execute the kernel on the passed window. </div></div>
 305 <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>
 306 <div class="ttc" id="_i_n_e_kernel_8h_xhtml"><div class="ttname"><a href="_i_n_e_kernel_8h.xhtml">INEKernel.h</a></div></div>
 307 <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 &amp; window() const </div><div class="ttdoc">The maximum window the kernel can be executed on. </div></div>
 308 <div class="ttc" id="classarm__compute_1_1_window_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a></div><div class="ttdoc">Describe a multidimensional execution window. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00039">Window.h:39</a></div></div>
 309 </div><!-- fragment --></div><!-- contents -->
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 313   <ul>
 314     <li class="navelem"><a class="el" href="dir_d4d363c0979c7ffda4833df3f93b5668.xhtml">arm_compute</a></li><li class="navelem"><a class="el" href="dir_62e76289bb143101bef0ade0babfd908.xhtml">core</a></li><li class="navelem"><a class="el" href="dir_d8c3c94d7afca7dbbf0a57378fc2eb81.xhtml">NEON</a></li><li class="navelem"><a class="el" href="dir_fe359af270243e26066d9edb7147ece2.xhtml">kernels</a></li><li class="navelem"><a class="el" href="_n_e_convolution_kernel_8h.xhtml">NEConvolutionKernel.h</a></li>
 315     <li class="footer">Generated on Thu Oct 12 2017 14:26:32 for Compute Library by
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 317     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6 </li>
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