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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">CLDirectConvolutionLayer Class Reference</div>  </div>
 123 </div><!--header-->
 124 <div class="contents">
 125
 126 <p>Basic function to execute direct convolution function:
 127  <a href="classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#details">More...</a></p>
 128
 129 <p><code>#include &lt;<a class="el" href="_c_l_direct_convolution_layer_8h_source.xhtml">CLDirectConvolutionLayer.h</a>&gt;</code></p>
 130 <div class="dynheader">
 131 Collaboration diagram for CLDirectConvolutionLayer:</div>
 132 <div class="dyncontent">
 133 <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1_c_l_direct_convolution_layer__coll__graph.svg" width="198" 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:a7020ba58629fa294c854034bf377906f"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#a7020ba58629fa294c854034bf377906f">CLDirectConvolutionLayer</a> ()</td></tr>
 140 <tr class="memdesc:a7020ba58629fa294c854034bf377906f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default constructor.  <a href="#a7020ba58629fa294c854034bf377906f">More...</a><br /></td></tr>
 141 <tr class="separator:a7020ba58629fa294c854034bf377906f"><td class="memSeparator" colspan="2">&#160;</td></tr>
 142 <tr class="memitem:a2e850fb98fe28b49a41a89832e78e87c"><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_direct_convolution_layer.xhtml#a2e850fb98fe28b49a41a89832e78e87c">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, const <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> &amp;act_info=<a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>())</td></tr>
 143 <tr class="memdesc:a2e850fb98fe28b49a41a89832e78e87c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the input and output tensors.  <a href="#a2e850fb98fe28b49a41a89832e78e87c">More...</a><br /></td></tr>
 144 <tr class="separator:a2e850fb98fe28b49a41a89832e78e87c"><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_direct_convolution_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:a747b1152c8aac51943bae4a3b4100025"><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_direct_convolution_layer.xhtml#a747b1152c8aac51943bae4a3b4100025">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, const <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> &amp;act_info=<a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>())</td></tr>
 159 <tr class="memdesc:a747b1152c8aac51943bae4a3b4100025"><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_direct_convolution_layer.xhtml">CLDirectConvolutionLayer</a>.  <a href="#a747b1152c8aac51943bae4a3b4100025">More...</a><br /></td></tr>
 160 <tr class="separator:a747b1152c8aac51943bae4a3b4100025"><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 direct convolution function: </p>
 164
 165 <p>Definition at line <a class="el" href="_c_l_direct_convolution_layer_8h_source.xhtml#l00041">41</a> of file <a class="el" href="_c_l_direct_convolution_layer_8h_source.xhtml">CLDirectConvolutionLayer.h</a>.</p>
 166 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
 167 <a class="anchor" id="a7020ba58629fa294c854034bf377906f"></a>
 168 <div class="memitem">
 169 <div class="memproto">
 170       <table class="memname">
 171         <tr>
 172           <td class="memname"><a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer.xhtml">CLDirectConvolutionLayer</a> </td>
 173           <td>(</td>
 174           <td class="paramname"></td><td>)</td>
 175           <td></td>
 176         </tr>
 177       </table>
 178 </div><div class="memdoc">
 179
 180 <p>Default constructor. </p>
 181
 182 </div>
 183 </div>
 184 <h2 class="groupheader">Member Function Documentation</h2>
 185 <a class="anchor" id="a2e850fb98fe28b49a41a89832e78e87c"></a>
 186 <div class="memitem">
 187 <div class="memproto">
 188       <table class="memname">
 189         <tr>
 190           <td class="memname">void configure </td>
 191           <td>(</td>
 192           <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *&#160;</td>
 193           <td class="paramname"><em>input</em>, </td>
 194         </tr>
 195         <tr>
 196           <td class="paramkey"></td>
 197           <td></td>
 198           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *&#160;</td>
 199           <td class="paramname"><em>weights</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>biases</em>, </td>
 206         </tr>
 207         <tr>
 208           <td class="paramkey"></td>
 209           <td></td>
 210           <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *&#160;</td>
 211           <td class="paramname"><em>output</em>, </td>
 212         </tr>
 213         <tr>
 214           <td class="paramkey"></td>
 215           <td></td>
 216           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;&#160;</td>
 217           <td class="paramname"><em>conv_info</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_activation_layer_info.xhtml">ActivationLayerInfo</a> &amp;&#160;</td>
 223           <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>
 224         </tr>
 225         <tr>
 226           <td></td>
 227           <td>)</td>
 228           <td></td><td></td>
 229         </tr>
 230       </table>
 231 </div><div class="memdoc">
 232
 233 <p>Set the input and output tensors. </p>
 234 <dl class="params"><dt>Parameters</dt><dd>
 235   <table class="params">
 236     <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Source tensor. 3 lower dimensions represent a single input [width, height, IFM], while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/QS8/QS16/F16/F32. </td></tr>
 237     <tr><td class="paramdir">[in]</td><td class="paramname">weights</td><td>Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as <code>input</code>. </td></tr>
 238     <tr><td class="paramdir">[in]</td><td class="paramname">biases</td><td>Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Should match <code>input</code> data type, except for input of QASYMM8 type where biases should be of S32 type. </td></tr>
 239     <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. Data types supported: Same as <code>input</code>. </td></tr>
 240     <tr><td class="paramdir">[in]</td><td class="paramname">conv_info</td><td>Contains padding and stride information described in <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>. </td></tr>
 241     <tr><td class="paramdir">[in]</td><td class="paramname">act_info</td><td>(Optional) Activation layer information in case of a fused activation. </td></tr>
 242   </table>
 243   </dd>
 244 </dl>
 245
 246 </div>
 247 </div>
 248 <a class="anchor" id="ad1717410afd0be936c6213a63c8005fb"></a>
 249 <div class="memitem">
 250 <div class="memproto">
 251 <table class="mlabels">
 252   <tr>
 253   <td class="mlabels-left">
 254       <table class="memname">
 255         <tr>
 256           <td class="memname">void run </td>
 257           <td>(</td>
 258           <td class="paramname"></td><td>)</td>
 259           <td></td>
 260         </tr>
 261       </table>
 262   </td>
 263   <td class="mlabels-right">
 264 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 265   </tr>
 266 </table>
 267 </div><div class="memdoc">
 268
 269 <p>Run the kernels contained in the function. </p>
 270 <p>For NEON kernels:</p><ul>
 271 <li>Multi-threading is used for the kernels which are parallelisable.</li>
 272 <li>By default std::thread::hardware_concurrency() threads are used.</li>
 273 </ul>
 274 <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>
 275 <p>For OpenCL kernels:</p><ul>
 276 <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>
 277 <li>The queue is then flushed.</li>
 278 </ul>
 279 <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>
 280 <dd>
 281 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>
 282
 283 <p>Implements <a class="el" href="classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b">IFunction</a>.</p>
 284
 285 </div>
 286 </div>
 287 <a class="anchor" id="a747b1152c8aac51943bae4a3b4100025"></a>
 288 <div class="memitem">
 289 <div class="memproto">
 290 <table class="mlabels">
 291   <tr>
 292   <td class="mlabels-left">
 293       <table class="memname">
 294         <tr>
 295           <td class="memname">static <a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> validate </td>
 296           <td>(</td>
 297           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
 298           <td class="paramname"><em>input</em>, </td>
 299         </tr>
 300         <tr>
 301           <td class="paramkey"></td>
 302           <td></td>
 303           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
 304           <td class="paramname"><em>weights</em>, </td>
 305         </tr>
 306         <tr>
 307           <td class="paramkey"></td>
 308           <td></td>
 309           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
 310           <td class="paramname"><em>biases</em>, </td>
 311         </tr>
 312         <tr>
 313           <td class="paramkey"></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>output</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_pad_stride_info.xhtml">PadStrideInfo</a> &amp;&#160;</td>
 322           <td class="paramname"><em>conv_info</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_activation_layer_info.xhtml">ActivationLayerInfo</a> &amp;&#160;</td>
 328           <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>
 329         </tr>
 330         <tr>
 331           <td></td>
 332           <td>)</td>
 333           <td></td><td></td>
 334         </tr>
 335       </table>
 336   </td>
 337   <td class="mlabels-right">
 338 <span class="mlabels"><span class="mlabel">static</span></span>  </td>
 339   </tr>
 340 </table>
 341 </div><div class="memdoc">
 342
 343 <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_direct_convolution_layer.xhtml">CLDirectConvolutionLayer</a>. </p>
 344 <dl class="params"><dt>Parameters</dt><dd>
 345   <table class="params">
 346     <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Source tensor. 3 lower dimensions represent a single input [width, height, IFM], while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QS8/QASYMM8/QS16/F16/F32. </td></tr>
 347     <tr><td class="paramdir">[in]</td><td class="paramname">weights</td><td>Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as <code>input</code>. </td></tr>
 348     <tr><td class="paramdir">[in]</td><td class="paramname">biases</td><td>Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported:Same as <code>input</code>. </td></tr>
 349     <tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. Data types supported: Same as <code>input</code>. </td></tr>
 350     <tr><td class="paramdir">[in]</td><td class="paramname">conv_info</td><td>Contains padding and stride information described in <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>. </td></tr>
 351     <tr><td class="paramdir">[in]</td><td class="paramname">act_info</td><td>(Optional) Activation layer information in case of a fused activation.</td></tr>
 352   </table>
 353   </dd>
 354 </dl>
 355 <dl class="section return"><dt>Returns</dt><dd>a status </dd></dl>
 356
 357 <p>Referenced by <a class="el" href="validation_2_c_l_2_direct_convolution_layer_8cpp_source.xhtml#l00091">arm_compute::test::validation::DATA_TEST_CASE()</a>.</p>
 358
 359 </div>
 360 </div>
 361 <hr/>The documentation for this class was generated from the following file:<ul>
 362 <li>arm_compute/runtime/CL/functions/<a class="el" href="_c_l_direct_convolution_layer_8h_source.xhtml">CLDirectConvolutionLayer.h</a></li>
 363 </ul>
 364 </div><!-- contents -->
 365 </div><!-- doc-content -->
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 371     <a href="http://www.doxygen.org/index.html">
 372     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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