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 117   <div class="summary">
 118 <a href="#pub-methods">Public Member Functions</a>  </div>
 119   <div class="headertitle">
 120 <div class="title">NEConvolution9x9 Class Reference</div>  </div>
 121 </div><!--header-->
 122 <div class="contents">
 123
 124 <p>Basic function to execute convolution of size 9x9.
 125  <a href="classarm__compute_1_1_n_e_convolution9x9.xhtml#details">More...</a></p>
 126
 127 <p><code>#include &lt;<a class="el" href="_n_e_convolution_8h_source.xhtml">NEConvolution.h</a>&gt;</code></p>
 128 <div class="dynheader">
 129 Collaboration diagram for NEConvolution9x9:</div>
 130 <div class="dyncontent">
 131 <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1_n_e_convolution9x9__coll__graph.svg" width="142" height="112"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
 132 </div>
 133 <center><span class="legend">[<a target="top" href="graph_legend.xhtml">legend</a>]</span></center></div>
 134 <table class="memberdecls">
 135 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
 136 Public Member Functions</h2></td></tr>
 137 <tr class="memitem:ada1aa23065a11fa05e6880a84392b471"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_convolution9x9.xhtml#ada1aa23065a11fa05e6880a84392b471">NEConvolution9x9</a> ()</td></tr>
 138 <tr class="memdesc:ada1aa23065a11fa05e6880a84392b471"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default constructor.  <a href="#ada1aa23065a11fa05e6880a84392b471">More...</a><br /></td></tr>
 139 <tr class="separator:ada1aa23065a11fa05e6880a84392b471"><td class="memSeparator" colspan="2">&#160;</td></tr>
 140 <tr class="memitem:a58d050865536a28b56a92eeaf3ac478e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_convolution9x9.xhtml#a58d050865536a28b56a92eeaf3ac478e">configure</a> (<a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, const int16_t *conv, uint32_t scale, <a class="el" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a> border_mode, uint8_t constant_border_value=0)</td></tr>
 141 <tr class="memdesc:a58d050865536a28b56a92eeaf3ac478e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the function's source, destination, conv and border_mode.  <a href="#a58d050865536a28b56a92eeaf3ac478e">More...</a><br /></td></tr>
 142 <tr class="separator:a58d050865536a28b56a92eeaf3ac478e"><td class="memSeparator" colspan="2">&#160;</td></tr>
 143 <tr class="memitem:ad1717410afd0be936c6213a63c8005fb"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_convolution9x9.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a> () override</td></tr>
 144 <tr class="memdesc:ad1717410afd0be936c6213a63c8005fb"><td class="mdescLeft">&#160;</td><td class="mdescRight">Run the kernels contained in the function.  <a href="#ad1717410afd0be936c6213a63c8005fb">More...</a><br /></td></tr>
 145 <tr class="separator:ad1717410afd0be936c6213a63c8005fb"><td class="memSeparator" colspan="2">&#160;</td></tr>
 146 <tr class="inherit_header pub_methods_classarm__compute_1_1_i_function"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_function')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></td></tr>
 147 <tr class="memitem:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">~IFunction</a> ()=default</td></tr>
 148 <tr class="memdesc:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft">&#160;</td><td class="mdescRight">Destructor.  <a href="#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">More...</a><br /></td></tr>
 149 <tr class="separator:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2">&#160;</td></tr>
 150 </table>
 151 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 152 <div class="textblock"><p>Basic function to execute convolution of size 9x9. </p>
 153 <p>This function calls the following NEON kernels:</p>
 154 <ol type="1">
 155 <li><a class="el" href="classarm__compute_1_1_n_e_fill_border_kernel.xhtml">NEFillBorderKernel</a> (executed if border_mode == CONSTANT or border_mode == REPLICATE)</li>
 156 <li><a class="el" href="namespacearm__compute.xhtml#a1025306f820a9e76df7e5891caacff7b">NEConvolution9x9Kernel</a> or<br />
 157  <a class="el" href="namespacearm__compute.xhtml#a4ba5f6b7cd6b70b75e42149f3bc08f38">NESeparableConvolution9x9HorKernel</a> and <a class="el" href="namespacearm__compute.xhtml#a6310d21f215fface41df4cde725a62b9">NESeparableConvolution9x9VertKernel</a> (if convolution matrix is separable) </li>
 158 </ol>
 159
 160 <p>Definition at line <a class="el" href="_n_e_convolution_8h_source.xhtml#l00138">138</a> of file <a class="el" href="_n_e_convolution_8h_source.xhtml">NEConvolution.h</a>.</p>
 161 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
 162 <a class="anchor" id="ada1aa23065a11fa05e6880a84392b471"></a>
 163 <div class="memitem">
 164 <div class="memproto">
 165       <table class="memname">
 166         <tr>
 167           <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_convolution9x9.xhtml">NEConvolution9x9</a> </td>
 168           <td>(</td>
 169           <td class="paramname"></td><td>)</td>
 170           <td></td>
 171         </tr>
 172       </table>
 173 </div><div class="memdoc">
 174
 175 <p>Default constructor. </p>
 176
 177 </div>
 178 </div>
 179 <h2 class="groupheader">Member Function Documentation</h2>
 180 <a class="anchor" id="a58d050865536a28b56a92eeaf3ac478e"></a>
 181 <div class="memitem">
 182 <div class="memproto">
 183       <table class="memname">
 184         <tr>
 185           <td class="memname">void configure </td>
 186           <td>(</td>
 187           <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
 188           <td class="paramname"><em>input</em>, </td>
 189         </tr>
 190         <tr>
 191           <td class="paramkey"></td>
 192           <td></td>
 193           <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
 194           <td class="paramname"><em>output</em>, </td>
 195         </tr>
 196         <tr>
 197           <td class="paramkey"></td>
 198           <td></td>
 199           <td class="paramtype">const int16_t *&#160;</td>
 200           <td class="paramname"><em>conv</em>, </td>
 201         </tr>
 202         <tr>
 203           <td class="paramkey"></td>
 204           <td></td>
 205           <td class="paramtype">uint32_t&#160;</td>
 206           <td class="paramname"><em>scale</em>, </td>
 207         </tr>
 208         <tr>
 209           <td class="paramkey"></td>
 210           <td></td>
 211           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#a15a05537a472ee742404821851529327">BorderMode</a>&#160;</td>
 212           <td class="paramname"><em>border_mode</em>, </td>
 213         </tr>
 214         <tr>
 215           <td class="paramkey"></td>
 216           <td></td>
 217           <td class="paramtype">uint8_t&#160;</td>
 218           <td class="paramname"><em>constant_border_value</em> = <code>0</code>&#160;</td>
 219         </tr>
 220         <tr>
 221           <td></td>
 222           <td>)</td>
 223           <td></td><td></td>
 224         </tr>
 225       </table>
 226 </div><div class="memdoc">
 227
 228 <p>Initialize the function's source, destination, conv and border_mode. </p>
 229 <dl class="params"><dt>Parameters</dt><dd>
 230   <table class="params">
 231     <tr><td class="paramdir">[in,out]</td><td class="paramname">input</td><td>Source tensor. Data type supported: U8. (Written to only for <code>border_mode</code> != UNDEFINED) </td></tr>
 232     <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Destination tensor, Data types supported: U8 or S16. </td></tr>
 233     <tr><td class="paramdir">[in]</td><td class="paramname">conv</td><td>matrix_size x matrix_size S16 coefficients structured as a row-major 2D array in a linear buffer. </td></tr>
 234     <tr><td class="paramdir">[in]</td><td class="paramname">scale</td><td>Scale of the convolution matrix. If 0 is passed, it will be set to the sum of the coefficients of the convolution or 1 if they add up to 0. </td></tr>
 235     <tr><td class="paramdir">[in]</td><td class="paramname">border_mode</td><td>Strategy to use for borders. </td></tr>
 236     <tr><td class="paramdir">[in]</td><td class="paramname">constant_border_value</td><td>(Optional) Constant value to use for borders if border_mode is set to CONSTANT. </td></tr>
 237   </table>
 238   </dd>
 239 </dl>
 240
 241 </div>
 242 </div>
 243 <a class="anchor" id="ad1717410afd0be936c6213a63c8005fb"></a>
 244 <div class="memitem">
 245 <div class="memproto">
 246 <table class="mlabels">
 247   <tr>
 248   <td class="mlabels-left">
 249       <table class="memname">
 250         <tr>
 251           <td class="memname">void run </td>
 252           <td>(</td>
 253           <td class="paramname"></td><td>)</td>
 254           <td></td>
 255         </tr>
 256       </table>
 257   </td>
 258   <td class="mlabels-right">
 259 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 260   </tr>
 261 </table>
 262 </div><div class="memdoc">
 263
 264 <p>Run the kernels contained in the function. </p>
 265 <p>For NEON kernels:</p><ul>
 266 <li>Multi-threading is used for the kernels which are parallelisable.</li>
 267 <li>By default std::thread::hardware_concurrency() threads are used.</li>
 268 </ul>
 269 <dl class="section note"><dt>Note</dt><dd><a class="el" href="classarm__compute_1_1_c_p_p_scheduler.xhtml#ae9dc1846ff1612778bbac85d46344aef">CPPScheduler::force_number_of_threads()</a> can be used to manually set the number of threads</dd></dl>
 270 <p>For OpenCL kernels:</p><ul>
 271 <li>All the kernels are enqueued on the queue associated with <a class="el" href="classarm__compute_1_1_c_l_scheduler.xhtml" title="Provides global access to a CL context and command queue. ">CLScheduler</a>.</li>
 272 <li>The queue is then flushed.</li>
 273 </ul>
 274 <dl class="section note"><dt>Note</dt><dd>The function will not block until the kernels are executed. It is the user's responsibility to wait. </dd></dl>
 275
 276 <p>Implements <a class="el" href="classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b">IFunction</a>.</p>
 277
 278 </div>
 279 </div>
 280 <hr/>The documentation for this class was generated from the following file:<ul>
 281 <li>arm_compute/runtime/NEON/functions/<a class="el" href="_n_e_convolution_8h_source.xhtml">NEConvolution.h</a></li>
 282 </ul>
 283 </div><!-- contents -->
 284 </div><!-- doc-content -->
 285 <!-- start footer part -->
 286 <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
 287   <ul>
 288     <li class="navelem"><a class="el" href="namespacearm__compute.xhtml">arm_compute</a></li><li class="navelem"><a class="el" href="classarm__compute_1_1_n_e_convolution9x9.xhtml">NEConvolution9x9</a></li>
 289     <li class="footer">Generated on Fri Mar 24 2017 17:23:50 for ARM Compute Library by
 290     <a href="http://www.doxygen.org/index.html">
 291     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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