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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">NEFullyConnectedLayer Class Reference</div>  </div>
 121 </div><!--header-->
 122 <div class="contents">
 123
 124 <p>Basic function to compute a Fully Connected layer on NEON.
 125  <a href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#details">More...</a></p>
 126
 127 <p><code>#include &lt;<a class="el" href="_n_e_fully_connected_layer_8h_source.xhtml">NEFullyConnectedLayer.h</a>&gt;</code></p>
 128 <div class="dynheader">
 129 Collaboration diagram for NEFullyConnectedLayer:</div>
 130 <div class="dyncontent">
 131 <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1_n_e_fully_connected_layer__coll__graph.svg" width="175" 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:a9a5cc50098bbd29bd8cd04040f7f0fe1"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml#a9a5cc50098bbd29bd8cd04040f7f0fe1">NEFullyConnectedLayer</a> ()</td></tr>
 138 <tr class="memdesc:a9a5cc50098bbd29bd8cd04040f7f0fe1"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="#a9a5cc50098bbd29bd8cd04040f7f0fe1">More...</a><br /></td></tr>
 139 <tr class="separator:a9a5cc50098bbd29bd8cd04040f7f0fe1"><td class="memSeparator" colspan="2">&#160;</td></tr>
 140 <tr class="memitem:a77645c78f461296c6a81268407246859"><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_fully_connected_layer.xhtml#a77645c78f461296c6a81268407246859">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> *weights, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *biases, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output)</td></tr>
 141 <tr class="memdesc:a77645c78f461296c6a81268407246859"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the input and output tensors.  <a href="#a77645c78f461296c6a81268407246859">More...</a><br /></td></tr>
 142 <tr class="separator:a77645c78f461296c6a81268407246859"><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_fully_connected_layer.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 compute a Fully Connected layer on NEON. </p>
 153 <p>This function calls the following NEON kernels:</p><ol type="1">
 154 <li><a class="el" href="classarm__compute_1_1_n_e_convolution_layer.xhtml">NEConvolutionLayer</a> (called when the weights have 4 dimensions. Pass the stride as 1 and padding as 0)</li>
 155 <li><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m.xhtml">NEGEMM</a> (called when the weights have 2 dimensions)</li>
 156 <li><a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml">NETransposeKernel</a> (called when the weights have 2 dimensions)</li>
 157 <li><a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml">NEGEMMMatrixAccumulateBiasesKernel</a> (called when the weights have 2 dimensions)</li>
 158 </ol>
 159 <dl class="section note"><dt>Note</dt><dd>The fully connected layer accepts "weights" tensors only with 2 or 4 dimensions. In particular, the weights tensor has 4 dimensions, if the fully connected layer is computed after a convolution layer otherwise the tensor has 2 dimensions if the fully connected layer is computed after another fully connected layer </dd></dl>
 160
 161 <p>Definition at line <a class="el" href="_n_e_fully_connected_layer_8h_source.xhtml#l00044">44</a> of file <a class="el" href="_n_e_fully_connected_layer_8h_source.xhtml">NEFullyConnectedLayer.h</a>.</p>
 162 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
 163 <a class="anchor" id="a9a5cc50098bbd29bd8cd04040f7f0fe1"></a>
 164 <div class="memitem">
 165 <div class="memproto">
 166       <table class="memname">
 167         <tr>
 168           <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml">NEFullyConnectedLayer</a> </td>
 169           <td>(</td>
 170           <td class="paramname"></td><td>)</td>
 171           <td></td>
 172         </tr>
 173       </table>
 174 </div><div class="memdoc">
 175
 176 <p>Constructor. </p>
 177
 178 </div>
 179 </div>
 180 <h2 class="groupheader">Member Function Documentation</h2>
 181 <a class="anchor" id="a77645c78f461296c6a81268407246859"></a>
 182 <div class="memitem">
 183 <div class="memproto">
 184       <table class="memname">
 185         <tr>
 186           <td class="memname">void configure </td>
 187           <td>(</td>
 188           <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
 189           <td class="paramname"><em>input</em>, </td>
 190         </tr>
 191         <tr>
 192           <td class="paramkey"></td>
 193           <td></td>
 194           <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
 195           <td class="paramname"><em>weights</em>, </td>
 196         </tr>
 197         <tr>
 198           <td class="paramkey"></td>
 199           <td></td>
 200           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
 201           <td class="paramname"><em>biases</em>, </td>
 202         </tr>
 203         <tr>
 204           <td class="paramkey"></td>
 205           <td></td>
 206           <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
 207           <td class="paramname"><em>output</em>&#160;</td>
 208         </tr>
 209         <tr>
 210           <td></td>
 211           <td>)</td>
 212           <td></td><td></td>
 213         </tr>
 214       </table>
 215 </div><div class="memdoc">
 216
 217 <p>Set the input and output tensors. </p>
 218 <dl class="params"><dt>Parameters</dt><dd>
 219   <table class="params">
 220     <tr><td class="paramdir">[in,out]</td><td class="paramname">input</td><td>Source tensor. Data type supported: F32. (Written to only if <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m.xhtml">NEGEMM</a> needs to pad with zeros the tensor) </td></tr>
 221     <tr><td class="paramdir">[in,out]</td><td class="paramname">weights</td><td>Weights tensor. The weights can be 2 dimensional or 4 dimensional. Data type supported: Same as <code>input</code>. (Written to only if <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m.xhtml">NEGEMM</a> needs to pad with zeros the tensor) </td></tr>
 222     <tr><td class="paramdir">[in]</td><td class="paramname">biases</td><td>Bias tensor. Data type supported:Same as <code>input</code>. </td></tr>
 223     <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Destination tensor. Data type supported: Same as <code>input</code>. </td></tr>
 224   </table>
 225   </dd>
 226 </dl>
 227
 228 </div>
 229 </div>
 230 <a class="anchor" id="ad1717410afd0be936c6213a63c8005fb"></a>
 231 <div class="memitem">
 232 <div class="memproto">
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 234   <tr>
 235   <td class="mlabels-left">
 236       <table class="memname">
 237         <tr>
 238           <td class="memname">void run </td>
 239           <td>(</td>
 240           <td class="paramname"></td><td>)</td>
 241           <td></td>
 242         </tr>
 243       </table>
 244   </td>
 245   <td class="mlabels-right">
 246 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 247   </tr>
 248 </table>
 249 </div><div class="memdoc">
 250
 251 <p>Run the kernels contained in the function. </p>
 252 <p>For NEON kernels:</p><ul>
 253 <li>Multi-threading is used for the kernels which are parallelisable.</li>
 254 <li>By default std::thread::hardware_concurrency() threads are used.</li>
 255 </ul>
 256 <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>
 257 <p>For OpenCL kernels:</p><ul>
 258 <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>
 259 <li>The queue is then flushed.</li>
 260 </ul>
 261 <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>
 262
 263 <p>Implements <a class="el" href="classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b">IFunction</a>.</p>
 264
 265 </div>
 266 </div>
 267 <hr/>The documentation for this class was generated from the following file:<ul>
 268 <li>arm_compute/runtime/NEON/functions/<a class="el" href="_n_e_fully_connected_layer_8h_source.xhtml">NEFullyConnectedLayer.h</a></li>
 269 </ul>
 270 </div><!-- contents -->
 271 </div><!-- doc-content -->
 272 <!-- start footer part -->
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 276     <li class="footer">Generated on Fri Mar 24 2017 17:23:51 for ARM Compute Library by
 277     <a href="http://www.doxygen.org/index.html">
 278     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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