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 118   <div class="summary">
 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">CLDepthwiseConvolutionLayer3x3 Class Reference</div>  </div>
 123 </div><!--header-->
 124 <div class="contents">
 125
 126 <p>Basic function to execute a depthwise convolution for kernel size 3x3xC (when data layout NCHW) or Cx3x3 (when data layout NHWC).
 127  <a href="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#details">More...</a></p>
 128
 129 <p><code>#include &lt;<a class="el" href="_c_l_depthwise_convolution_layer_8h_source.xhtml">CLDepthwiseConvolutionLayer.h</a>&gt;</code></p>
 130 <div class="dynheader">
 131 Collaboration diagram for CLDepthwiseConvolutionLayer3x3:</div>
 132 <div class="dyncontent">
 133 <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3__coll__graph.svg" width="248" 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:a7dd467b8b44b5e4cf6cdefe807a874b3"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#a7dd467b8b44b5e4cf6cdefe807a874b3">CLDepthwiseConvolutionLayer3x3</a> ()</td></tr>
 140 <tr class="memdesc:a7dd467b8b44b5e4cf6cdefe807a874b3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default constructor.  <a href="#a7dd467b8b44b5e4cf6cdefe807a874b3">More...</a><br /></td></tr>
 141 <tr class="separator:a7dd467b8b44b5e4cf6cdefe807a874b3"><td class="memSeparator" colspan="2">&#160;</td></tr>
 142 <tr class="memitem:ae536ece130ddb5e22e7f11e6b67f1673"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#ae536ece130ddb5e22e7f11e6b67f1673">configure</a> (<a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *weights, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *biases, <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;conv_info, unsigned int depth_multiplier=1, <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> act_info=<a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>())</td></tr>
 143 <tr class="memdesc:ae536ece130ddb5e22e7f11e6b67f1673"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the function's source, destination, conv and border_size.  <a href="#ae536ece130ddb5e22e7f11e6b67f1673">More...</a><br /></td></tr>
 144 <tr class="separator:ae536ece130ddb5e22e7f11e6b67f1673"><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_c_l_depthwise_convolution_layer3x3.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:ab653ae4bd0a3e2f581a7eae1b02aa1e7"><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_c_l_depthwise_convolution_layer3x3.xhtml#ab653ae4bd0a3e2f581a7eae1b02aa1e7">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> *weights, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *biases, 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_pad_stride_info.xhtml">PadStrideInfo</a> &amp;conv_info, unsigned int depth_multiplier=1, <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> act_info=<a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(), <a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a> gpu_target=<a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3afa362f4daec88442a387ff7cda411a38">GPUTarget::MIDGARD</a>)</td></tr>
 159 <tr class="memdesc:ab653ae4bd0a3e2f581a7eae1b02aa1e7"><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_c_l_depthwise_convolution_layer3x3.xhtml">CLDepthwiseConvolutionLayer3x3</a>.  <a href="#ab653ae4bd0a3e2f581a7eae1b02aa1e7">More...</a><br /></td></tr>
 160 <tr class="separator:ab653ae4bd0a3e2f581a7eae1b02aa1e7"><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 execute a depthwise convolution for kernel size 3x3xC (when data layout NCHW) or Cx3x3 (when data layout NHWC). </p>
 164 <p>This function calls the following OpenCL kernels:</p>
 165 <ol type="1">
 166 <li><a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_c_h_w_kernel.xhtml">CLDepthwiseConvolutionLayer3x3NCHWKernel</a> (if data_layout == NCHW)</li>
 167 <li><a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_n_h_w_c_kernel.xhtml">CLDepthwiseConvolutionLayer3x3NHWCKernel</a> (if data_layout == NHWC)</li>
 168 <li><a class="el" href="classarm__compute_1_1_c_l_fill_border_kernel.xhtml">CLFillBorderKernel</a> (if pad_x or pad_y &gt; 0) </li>
 169 </ol>
 170
 171 <p>Definition at line <a class="el" href="_c_l_depthwise_convolution_layer_8h_source.xhtml#l00051">51</a> of file <a class="el" href="_c_l_depthwise_convolution_layer_8h_source.xhtml">CLDepthwiseConvolutionLayer.h</a>.</p>
 172 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
 173 <a class="anchor" id="a7dd467b8b44b5e4cf6cdefe807a874b3"></a>
 174 <div class="memitem">
 175 <div class="memproto">
 176       <table class="memname">
 177         <tr>
 178           <td class="memname"><a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml">CLDepthwiseConvolutionLayer3x3</a> </td>
 179           <td>(</td>
 180           <td class="paramname"></td><td>)</td>
 181           <td></td>
 182         </tr>
 183       </table>
 184 </div><div class="memdoc">
 185
 186 <p>Default constructor. </p>
 187
 188 </div>
 189 </div>
 190 <h2 class="groupheader">Member Function Documentation</h2>
 191 <a class="anchor" id="ae536ece130ddb5e22e7f11e6b67f1673"></a>
 192 <div class="memitem">
 193 <div class="memproto">
 194       <table class="memname">
 195         <tr>
 196           <td class="memname">void configure </td>
 197           <td>(</td>
 198           <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *&#160;</td>
 199           <td class="paramname"><em>input</em>, </td>
 200         </tr>
 201         <tr>
 202           <td class="paramkey"></td>
 203           <td></td>
 204           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *&#160;</td>
 205           <td class="paramname"><em>weights</em>, </td>
 206         </tr>
 207         <tr>
 208           <td class="paramkey"></td>
 209           <td></td>
 210           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *&#160;</td>
 211           <td class="paramname"><em>biases</em>, </td>
 212         </tr>
 213         <tr>
 214           <td class="paramkey"></td>
 215           <td></td>
 216           <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *&#160;</td>
 217           <td class="paramname"><em>output</em>, </td>
 218         </tr>
 219         <tr>
 220           <td class="paramkey"></td>
 221           <td></td>
 222           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;&#160;</td>
 223           <td class="paramname"><em>conv_info</em>, </td>
 224         </tr>
 225         <tr>
 226           <td class="paramkey"></td>
 227           <td></td>
 228           <td class="paramtype">unsigned int&#160;</td>
 229           <td class="paramname"><em>depth_multiplier</em> = <code>1</code>, </td>
 230         </tr>
 231         <tr>
 232           <td class="paramkey"></td>
 233           <td></td>
 234           <td class="paramtype"><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>&#160;</td>
 235           <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>
 236         </tr>
 237         <tr>
 238           <td></td>
 239           <td>)</td>
 240           <td></td><td></td>
 241         </tr>
 242       </table>
 243 </div><div class="memdoc">
 244
 245 <p>Initialize the function's source, destination, conv and border_size. </p>
 246 <dl class="params"><dt>Parameters</dt><dd>
 247   <table class="params">
 248     <tr><td class="paramdir">[in,out]</td><td class="paramname">input</td><td>Source tensor. Data type supported: QASYMM8/F16/F32. (Written to only for border filling). </td></tr>
 249     <tr><td class="paramdir">[in]</td><td class="paramname">weights</td><td>Weights tensor. A 3D tensor with shape [3, 3, IFM]. Data type supported: Same as <code>input</code>. </td></tr>
 250     <tr><td class="paramdir">[in]</td><td class="paramname">biases</td><td>(Optional) Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. Data type supported: Same as <code>input</code>. </td></tr>
 251     <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Destination tensor. Data type supported: same as <code>input</code>. </td></tr>
 252     <tr><td class="paramdir">[in]</td><td class="paramname">conv_info</td><td>Padding and stride information to use for the convolution. </td></tr>
 253     <tr><td class="paramdir">[in]</td><td class="paramname">depth_multiplier</td><td>(Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. </td></tr>
 254     <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 for 3x3 QASYMM8 supported. </td></tr>
 255   </table>
 256   </dd>
 257 </dl>
 258
 259 </div>
 260 </div>
 261 <a class="anchor" id="ad1717410afd0be936c6213a63c8005fb"></a>
 262 <div class="memitem">
 263 <div class="memproto">
 264 <table class="mlabels">
 265   <tr>
 266   <td class="mlabels-left">
 267       <table class="memname">
 268         <tr>
 269           <td class="memname">void run </td>
 270           <td>(</td>
 271           <td class="paramname"></td><td>)</td>
 272           <td></td>
 273         </tr>
 274       </table>
 275   </td>
 276   <td class="mlabels-right">
 277 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 278   </tr>
 279 </table>
 280 </div><div class="memdoc">
 281
 282 <p>Run the kernels contained in the function. </p>
 283 <p>For NEON kernels:</p><ul>
 284 <li>Multi-threading is used for the kernels which are parallelisable.</li>
 285 <li>By default std::thread::hardware_concurrency() threads are used.</li>
 286 </ul>
 287 <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>
 288 <p>For OpenCL kernels:</p><ul>
 289 <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>
 290 <li>The queue is then flushed.</li>
 291 </ul>
 292 <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>
 293 <dd>
 294 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>
 295
 296 <p>Implements <a class="el" href="classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b">IFunction</a>.</p>
 297
 298 </div>
 299 </div>
 300 <a class="anchor" id="ab653ae4bd0a3e2f581a7eae1b02aa1e7"></a>
 301 <div class="memitem">
 302 <div class="memproto">
 303 <table class="mlabels">
 304   <tr>
 305   <td class="mlabels-left">
 306       <table class="memname">
 307         <tr>
 308           <td class="memname">static <a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> validate </td>
 309           <td>(</td>
 310           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
 311           <td class="paramname"><em>input</em>, </td>
 312         </tr>
 313         <tr>
 314           <td class="paramkey"></td>
 315           <td></td>
 316           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
 317           <td class="paramname"><em>weights</em>, </td>
 318         </tr>
 319         <tr>
 320           <td class="paramkey"></td>
 321           <td></td>
 322           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
 323           <td class="paramname"><em>biases</em>, </td>
 324         </tr>
 325         <tr>
 326           <td class="paramkey"></td>
 327           <td></td>
 328           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
 329           <td class="paramname"><em>output</em>, </td>
 330         </tr>
 331         <tr>
 332           <td class="paramkey"></td>
 333           <td></td>
 334           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;&#160;</td>
 335           <td class="paramname"><em>conv_info</em>, </td>
 336         </tr>
 337         <tr>
 338           <td class="paramkey"></td>
 339           <td></td>
 340           <td class="paramtype">unsigned int&#160;</td>
 341           <td class="paramname"><em>depth_multiplier</em> = <code>1</code>, </td>
 342         </tr>
 343         <tr>
 344           <td class="paramkey"></td>
 345           <td></td>
 346           <td class="paramtype"><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>&#160;</td>
 347           <td class="paramname"><em>act_info</em> = <code><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>()</code>, </td>
 348         </tr>
 349         <tr>
 350           <td class="paramkey"></td>
 351           <td></td>
 352           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a>&#160;</td>
 353           <td class="paramname"><em>gpu_target</em> = <code><a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3afa362f4daec88442a387ff7cda411a38">GPUTarget::MIDGARD</a></code>&#160;</td>
 354         </tr>
 355         <tr>
 356           <td></td>
 357           <td>)</td>
 358           <td></td><td></td>
 359         </tr>
 360       </table>
 361   </td>
 362   <td class="mlabels-right">
 363 <span class="mlabels"><span class="mlabel">static</span></span>  </td>
 364   </tr>
 365 </table>
 366 </div><div class="memdoc">
 367
 368 <p>Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml">CLDepthwiseConvolutionLayer3x3</a>. </p>
 369 <dl class="params"><dt>Parameters</dt><dd>
 370   <table class="params">
 371     <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Source tensor. Data type supported: QASYMM8 for all layouts, F16/F32 for NCHW. </td></tr>
 372     <tr><td class="paramdir">[in]</td><td class="paramname">weights</td><td>Weights tensor. A 3D tensor with shape [3, 3, IFM]. Data type supported: Same as <code>input</code>. </td></tr>
 373     <tr><td class="paramdir">[in]</td><td class="paramname">biases</td><td>Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. Data type supported: Same as <code>input</code>, S32 when input is QASYMM8. </td></tr>
 374     <tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>Destination tensor. Data type supported: same as <code>input</code>. </td></tr>
 375     <tr><td class="paramdir">[in]</td><td class="paramname">conv_info</td><td>Padding and stride information to use for the convolution. </td></tr>
 376     <tr><td class="paramdir">[in]</td><td class="paramname">depth_multiplier</td><td>(Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. </td></tr>
 377     <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 for 3x3 QASYMM8 supported. </td></tr>
 378     <tr><td class="paramdir">[in]</td><td class="paramname">gpu_target</td><td>(Optional) GPU target to validate the kernel for. Defaults to midgard.</td></tr>
 379   </table>
 380   </dd>
 381 </dl>
 382 <dl class="section return"><dt>Returns</dt><dd>a status </dd></dl>
 383
 384 <p>Referenced by <a class="el" href="validation_2_c_l_2_depthwise_convolution_layer_8cpp_source.xhtml#l00058">arm_compute::test::validation::DATA_TEST_CASE()</a>.</p>
 385
 386 </div>
 387 </div>
 388 <hr/>The documentation for this class was generated from the following file:<ul>
 389 <li>arm_compute/runtime/CL/functions/<a class="el" href="_c_l_depthwise_convolution_layer_8h_source.xhtml">CLDepthwiseConvolutionLayer.h</a></li>
 390 </ul>
 391 </div><!-- contents -->
 392 </div><!-- doc-content -->
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 395   <ul>
 396     <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_c_l_depthwise_convolution_layer3x3.xhtml">CLDepthwiseConvolutionLayer3x3</a></li>
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 398     <a href="http://www.doxygen.org/index.html">
 399     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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