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 119 <a href="#pub-methods">Public Member Functions</a> &#124;
 120 <a href="#pub-static-methods">Static Public Member Functions</a>  </div>
 121   <div class="headertitle">
 122 <div class="title">NEBatchNormalizationLayer Class Reference</div>  </div>
 123 </div><!--header-->
 124 <div class="contents">
 125
 126 <p>Basic function to run <a class="el" href="classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml">NENormalizationLayerKernel</a> and simulate a batch normalization layer.
 127  <a href="classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#details">More...</a></p>
 128
 129 <p><code>#include &lt;<a class="el" href="_n_e_batch_normalization_layer_8h_source.xhtml">NEBatchNormalizationLayer.h</a>&gt;</code></p>
 130 <div class="dynheader">
 131 Collaboration diagram for NEBatchNormalizationLayer:</div>
 132 <div class="dyncontent">
 133 <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1_n_e_batch_normalization_layer__coll__graph.svg" width="212" height="112"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
 134 </div>
 135 <center><span class="legend">[<a target="top" href="graph_legend.xhtml">legend</a>]</span></center></div>
 136 <table class="memberdecls">
 137 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
 138 Public Member Functions</h2></td></tr>
 139 <tr class="memitem:a25b4f1a6a344fa184fb639cc794a6994"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#a25b4f1a6a344fa184fb639cc794a6994">NEBatchNormalizationLayer</a> ()</td></tr>
 140 <tr class="memdesc:a25b4f1a6a344fa184fb639cc794a6994"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default constructor.  <a href="#a25b4f1a6a344fa184fb639cc794a6994">More...</a><br /></td></tr>
 141 <tr class="separator:a25b4f1a6a344fa184fb639cc794a6994"><td class="memSeparator" colspan="2">&#160;</td></tr>
 142 <tr class="memitem:a8f98f383f8998195408b570534483536"><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_batch_normalization_layer.xhtml#a8f98f383f8998195408b570534483536">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 <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *mean, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *var, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *beta=nullptr, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *gamma=nullptr, float epsilon=0.001f, ActivationLayerInfo act_info=ActivationLayerInfo())</td></tr>
 143 <tr class="memdesc:a8f98f383f8998195408b570534483536"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the input and output tensors.  <a href="#a8f98f383f8998195408b570534483536">More...</a><br /></td></tr>
 144 <tr class="separator:a8f98f383f8998195408b570534483536"><td class="memSeparator" colspan="2">&#160;</td></tr>
 145 <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_batch_normalization_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a> () override</td></tr>
 146 <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>
 147 <tr class="separator:ad1717410afd0be936c6213a63c8005fb"><td class="memSeparator" colspan="2">&#160;</td></tr>
 148 <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>
 149 <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>
 150 <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>
 151 <tr class="separator:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2">&#160;</td></tr>
 152 <tr class="memitem:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">prepare</a> ()</td></tr>
 153 <tr class="memdesc:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prepare the function for executing.  <a href="#a820f7291c24155a2980512fae45aac26">More...</a><br /></td></tr>
 154 <tr class="separator:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2">&#160;</td></tr>
 155 </table><table class="memberdecls">
 156 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a>
 157 Static Public Member Functions</h2></td></tr>
 158 <tr class="memitem:af5f30ebbb928758897f5dcd17fc50181"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classarm__compute_1_1_status.xhtml">Status</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer.xhtml#af5f30ebbb928758897f5dcd17fc50181">validate</a> (const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *mean, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *var, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *beta=nullptr, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *gamma=nullptr, float epsilon=0.001f, ActivationLayerInfo act_info=ActivationLayerInfo())</td></tr>
 159 <tr class="memdesc:af5f30ebbb928758897f5dcd17fc50181"><td class="mdescLeft">&#160;</td><td class="mdescRight">Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer.xhtml">NEBatchNormalizationLayer</a>.  <a href="#af5f30ebbb928758897f5dcd17fc50181">More...</a><br /></td></tr>
 160 <tr class="separator:af5f30ebbb928758897f5dcd17fc50181"><td class="memSeparator" colspan="2">&#160;</td></tr>
 161 </table>
 162 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 163 <div class="textblock"><p>Basic function to run <a class="el" href="classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml">NENormalizationLayerKernel</a> and simulate a batch normalization layer. </p>
 164 <p>Batch normalization is calculated by: </p><p class="formulaDsp">
 165 \[ out_i = \gamma * (\frac{in_i - \mu_{B}}{\sqrt{\sigma^2_{B} + \epsilon}}) + \beta \equiv BN_{\gamma,\beta}(in_i) \]
 166 </p>
 167
 168 <p>Definition at line <a class="el" href="_n_e_batch_normalization_layer_8h_source.xhtml#l00042">42</a> of file <a class="el" href="_n_e_batch_normalization_layer_8h_source.xhtml">NEBatchNormalizationLayer.h</a>.</p>
 169 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
 170 <a class="anchor" id="a25b4f1a6a344fa184fb639cc794a6994"></a>
 171 <div class="memitem">
 172 <div class="memproto">
 173       <table class="memname">
 174         <tr>
 175           <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer.xhtml">NEBatchNormalizationLayer</a> </td>
 176           <td>(</td>
 177           <td class="paramname"></td><td>)</td>
 178           <td></td>
 179         </tr>
 180       </table>
 181 </div><div class="memdoc">
 182
 183 <p>Default constructor. </p>
 184
 185 </div>
 186 </div>
 187 <h2 class="groupheader">Member Function Documentation</h2>
 188 <a class="anchor" id="a8f98f383f8998195408b570534483536"></a>
 189 <div class="memitem">
 190 <div class="memproto">
 191       <table class="memname">
 192         <tr>
 193           <td class="memname">void configure </td>
 194           <td>(</td>
 195           <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
 196           <td class="paramname"><em>input</em>, </td>
 197         </tr>
 198         <tr>
 199           <td class="paramkey"></td>
 200           <td></td>
 201           <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
 202           <td class="paramname"><em>output</em>, </td>
 203         </tr>
 204         <tr>
 205           <td class="paramkey"></td>
 206           <td></td>
 207           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
 208           <td class="paramname"><em>mean</em>, </td>
 209         </tr>
 210         <tr>
 211           <td class="paramkey"></td>
 212           <td></td>
 213           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
 214           <td class="paramname"><em>var</em>, </td>
 215         </tr>
 216         <tr>
 217           <td class="paramkey"></td>
 218           <td></td>
 219           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
 220           <td class="paramname"><em>beta</em> = <code>nullptr</code>, </td>
 221         </tr>
 222         <tr>
 223           <td class="paramkey"></td>
 224           <td></td>
 225           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
 226           <td class="paramname"><em>gamma</em> = <code>nullptr</code>, </td>
 227         </tr>
 228         <tr>
 229           <td class="paramkey"></td>
 230           <td></td>
 231           <td class="paramtype">float&#160;</td>
 232           <td class="paramname"><em>epsilon</em> = <code>0.001f</code>, </td>
 233         </tr>
 234         <tr>
 235           <td class="paramkey"></td>
 236           <td></td>
 237           <td class="paramtype"><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>&#160;</td>
 238           <td class="paramname"><em>act_info</em> = <code><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>()</code>&#160;</td>
 239         </tr>
 240         <tr>
 241           <td></td>
 242           <td>)</td>
 243           <td></td><td></td>
 244         </tr>
 245       </table>
 246 </div><div class="memdoc">
 247
 248 <p>Set the input and output tensors. </p>
 249 <dl class="section note"><dt>Note</dt><dd>If the output tensor is a nullptr or is equal to the input, the batch normalization function will be performed in-place</dd></dl>
 250 <dl class="params"><dt>Parameters</dt><dd>
 251   <table class="params">
 252     <tr><td class="paramdir">[in,out]</td><td class="paramname">input</td><td>Source tensor. In case of <code>output</code> tensor = nullptr, this tensor will store the result. 3 lower dimensions represent a single input with dimensions [width, height, FM]. The rest are optional and used for representing batches. Data types supported: QS8/QS16/F16/F32. </td></tr>
 253     <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Destination tensor. Output will have the same number of dimensions as input. Data type supported: same as <code>input</code> </td></tr>
 254     <tr><td class="paramdir">[in]</td><td class="paramname">mean</td><td>Mean values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as <code>input</code> </td></tr>
 255     <tr><td class="paramdir">[in]</td><td class="paramname">var</td><td>Variance values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as <code>input</code> </td></tr>
 256     <tr><td class="paramdir">[in]</td><td class="paramname">beta</td><td>(Optional) Beta values tensor info. 1 dimension with size equal to the feature maps [FM]. If not provided, default value for beta is 0. Data types supported: Same as <code>input</code> </td></tr>
 257     <tr><td class="paramdir">[in]</td><td class="paramname">gamma</td><td>(Optional) Gamma values tensor info. 1 dimension with size equal to the feature maps [FM]. If not provided, default value for gamma is 1. Data types supported: Same as <code>input</code> </td></tr>
 258     <tr><td class="paramdir">[in]</td><td class="paramname">epsilon</td><td>(Optional) Small value to avoid division with zero. Default value is 0.001f. </td></tr>
 259     <tr><td class="paramdir">[in]</td><td class="paramname">act_info</td><td>(Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU supported. </td></tr>
 260   </table>
 261   </dd>
 262 </dl>
 263
 264 </div>
 265 </div>
 266 <a class="anchor" id="ad1717410afd0be936c6213a63c8005fb"></a>
 267 <div class="memitem">
 268 <div class="memproto">
 269 <table class="mlabels">
 270   <tr>
 271   <td class="mlabels-left">
 272       <table class="memname">
 273         <tr>
 274           <td class="memname">void run </td>
 275           <td>(</td>
 276           <td class="paramname"></td><td>)</td>
 277           <td></td>
 278         </tr>
 279       </table>
 280   </td>
 281   <td class="mlabels-right">
 282 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 283   </tr>
 284 </table>
 285 </div><div class="memdoc">
 286
 287 <p>Run the kernels contained in the function. </p>
 288 <p>For NEON kernels:</p><ul>
 289 <li>Multi-threading is used for the kernels which are parallelisable.</li>
 290 <li>By default std::thread::hardware_concurrency() threads are used.</li>
 291 </ul>
 292 <dl class="section note"><dt>Note</dt><dd><a class="el" href="classarm__compute_1_1_c_p_p_scheduler.xhtml#ae64eebaa07f4d2da6cc2ba538c3cb095">CPPScheduler::set_num_threads()</a> can be used to manually set the number of threads</dd></dl>
 293 <p>For OpenCL kernels:</p><ul>
 294 <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>
 295 <li>The queue is then flushed.</li>
 296 </ul>
 297 <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>
 298 <dd>
 299 Will call <a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26" title="Prepare the function for executing. ">prepare()</a> on first run if hasn't been done </dd></dl>
 300
 301 <p>Implements <a class="el" href="classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b">IFunction</a>.</p>
 302
 303 </div>
 304 </div>
 305 <a class="anchor" id="af5f30ebbb928758897f5dcd17fc50181"></a>
 306 <div class="memitem">
 307 <div class="memproto">
 308 <table class="mlabels">
 309   <tr>
 310   <td class="mlabels-left">
 311       <table class="memname">
 312         <tr>
 313           <td class="memname">static <a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> validate </td>
 314           <td>(</td>
 315           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
 316           <td class="paramname"><em>input</em>, </td>
 317         </tr>
 318         <tr>
 319           <td class="paramkey"></td>
 320           <td></td>
 321           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
 322           <td class="paramname"><em>output</em>, </td>
 323         </tr>
 324         <tr>
 325           <td class="paramkey"></td>
 326           <td></td>
 327           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
 328           <td class="paramname"><em>mean</em>, </td>
 329         </tr>
 330         <tr>
 331           <td class="paramkey"></td>
 332           <td></td>
 333           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
 334           <td class="paramname"><em>var</em>, </td>
 335         </tr>
 336         <tr>
 337           <td class="paramkey"></td>
 338           <td></td>
 339           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
 340           <td class="paramname"><em>beta</em> = <code>nullptr</code>, </td>
 341         </tr>
 342         <tr>
 343           <td class="paramkey"></td>
 344           <td></td>
 345           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
 346           <td class="paramname"><em>gamma</em> = <code>nullptr</code>, </td>
 347         </tr>
 348         <tr>
 349           <td class="paramkey"></td>
 350           <td></td>
 351           <td class="paramtype">float&#160;</td>
 352           <td class="paramname"><em>epsilon</em> = <code>0.001f</code>, </td>
 353         </tr>
 354         <tr>
 355           <td class="paramkey"></td>
 356           <td></td>
 357           <td class="paramtype"><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>&#160;</td>
 358           <td class="paramname"><em>act_info</em> = <code><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>()</code>&#160;</td>
 359         </tr>
 360         <tr>
 361           <td></td>
 362           <td>)</td>
 363           <td></td><td></td>
 364         </tr>
 365       </table>
 366   </td>
 367   <td class="mlabels-right">
 368 <span class="mlabels"><span class="mlabel">static</span></span>  </td>
 369   </tr>
 370 </table>
 371 </div><div class="memdoc">
 372
 373 <p>Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer.xhtml">NEBatchNormalizationLayer</a>. </p>
 374 <dl class="params"><dt>Parameters</dt><dd>
 375   <table class="params">
 376     <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Source tensor info. In case of <code>output</code> tensor = nullptr, this tensor will store the result. 3 lower dimensions represent a single input with dimensions [width, height, FM]. The rest are optional and used for representing batches. Data types supported: QS8/QS16/F16/F32. </td></tr>
 377     <tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>Destination tensor info. Output will have the same number of dimensions as input. Data type supported: same as <code>input</code> </td></tr>
 378     <tr><td class="paramdir">[in]</td><td class="paramname">mean</td><td>Mean values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as <code>input</code> </td></tr>
 379     <tr><td class="paramdir">[in]</td><td class="paramname">var</td><td>Variance values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as <code>input</code> </td></tr>
 380     <tr><td class="paramdir">[in]</td><td class="paramname">beta</td><td>(Optional) Beta values tensor info. 1 dimension with size equal to the feature maps [FM]. If not provided, default value for beta is 0. Data types supported: Same as <code>input</code> </td></tr>
 381     <tr><td class="paramdir">[in]</td><td class="paramname">gamma</td><td>(Optional) Gamma values tensor info. 1 dimension with size equal to the feature maps [FM]. If not provided, default value for gamma is 1. Data types supported: Same as <code>input</code> </td></tr>
 382     <tr><td class="paramdir">[in]</td><td class="paramname">epsilon</td><td>(Optional) Small value to avoid division with zero. Default value is 0.001f. </td></tr>
 383     <tr><td class="paramdir">[in]</td><td class="paramname">act_info</td><td>(Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU supported.</td></tr>
 384   </table>
 385   </dd>
 386 </dl>
 387 <dl class="section return"><dt>Returns</dt><dd>a status </dd></dl>
 388
 389 <p>Referenced by <a class="el" href="validation_2_n_e_o_n_2_batch_normalization_layer_8cpp_source.xhtml#l00103">arm_compute::test::validation::DATA_TEST_CASE()</a>.</p>
 390
 391 </div>
 392 </div>
 393 <hr/>The documentation for this class was generated from the following file:<ul>
 394 <li>arm_compute/runtime/NEON/functions/<a class="el" href="_n_e_batch_normalization_layer_8h_source.xhtml">NEBatchNormalizationLayer.h</a></li>
 395 </ul>
 396 </div><!-- contents -->
 397 </div><!-- doc-content -->
 398 <!-- start footer part -->
 399 <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
 400   <ul>
 401     <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_batch_normalization_layer.xhtml">NEBatchNormalizationLayer</a></li>
 402     <li class="footer">Generated on Wed May 23 2018 11:36:42 for Compute Library by
 403     <a href="http://www.doxygen.org/index.html">
 404     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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