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 119 <a href="#pub-methods">Public Member Functions</a>  </div>
 120   <div class="headertitle">
 121 <div class="title">GCFullyConnectedLayer Class Reference</div>  </div>
 122 </div><!--header-->
 123 <div class="contents">
 124
 125 <p>Basic function to compute a Fully Connected layer on OpenGL ES.
 126  <a href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml#details">More...</a></p>
 127
 128 <p><code>#include &lt;<a class="el" href="_g_c_fully_connected_layer_8h_source.xhtml">GCFullyConnectedLayer.h</a>&gt;</code></p>
 129 <div class="dynheader">
 130 Collaboration diagram for GCFullyConnectedLayer:</div>
 131 <div class="dyncontent">
 132 <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1_g_c_fully_connected_layer__coll__graph.svg" width="183" height="112"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
 133 </div>
 134 <center><span class="legend">[<a target="top" href="graph_legend.xhtml">legend</a>]</span></center></div>
 135 <table class="memberdecls">
 136 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
 137 Public Member Functions</h2></td></tr>
 138 <tr class="memitem:ac0ce422247b7eae1a1931b9717c86ba5"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml#ac0ce422247b7eae1a1931b9717c86ba5">GCFullyConnectedLayer</a> (std::shared_ptr&lt; <a class="el" href="classarm__compute_1_1_i_memory_manager.xhtml">IMemoryManager</a> &gt; memory_manager=nullptr)</td></tr>
 139 <tr class="memdesc:ac0ce422247b7eae1a1931b9717c86ba5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="#ac0ce422247b7eae1a1931b9717c86ba5">More...</a><br /></td></tr>
 140 <tr class="separator:ac0ce422247b7eae1a1931b9717c86ba5"><td class="memSeparator" colspan="2">&#160;</td></tr>
 141 <tr class="memitem:a62aa742a849322e6955bf78f4acebe88"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml#a62aa742a849322e6955bf78f4acebe88">configure</a> (const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *input, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *weights, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *biases, <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *output, bool transpose_weights=true, bool are_weights_reshaped=false, bool retain_internal_weights=false)</td></tr>
 142 <tr class="memdesc:a62aa742a849322e6955bf78f4acebe88"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the input and output tensors.  <a href="#a62aa742a849322e6955bf78f4acebe88">More...</a><br /></td></tr>
 143 <tr class="separator:a62aa742a849322e6955bf78f4acebe88"><td class="memSeparator" colspan="2">&#160;</td></tr>
 144 <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_g_c_fully_connected_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a> () override</td></tr>
 145 <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>
 146 <tr class="separator:ad1717410afd0be936c6213a63c8005fb"><td class="memSeparator" colspan="2">&#160;</td></tr>
 147 <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>
 148 <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>
 149 <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>
 150 <tr class="separator:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2">&#160;</td></tr>
 151 <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>
 152 <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>
 153 <tr class="separator:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2">&#160;</td></tr>
 154 </table>
 155 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 156 <div class="textblock"><p>Basic function to compute a Fully Connected layer on OpenGL ES. </p>
 157 <p>This function calls the following OpenGL ES kernels:</p>
 158 <ol type="1">
 159 <li><a class="el" href="classarm__compute_1_1_g_c_im2_col_kernel.xhtml">GCIm2ColKernel</a> (called when the input comes from a convolutional layer)</li>
 160 <li><a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer_reshape_weights.xhtml">GCFullyConnectedLayerReshapeWeights</a> (if <code>are_weights_reshaped</code> is set to false and transpose_weights is set to true ) (called once)</li>
 161 <li><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml">GCGEMMMatrixMultiplyKernel</a></li>
 162 <li><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml">GCGEMMMatrixAccumulateBiasesKernel</a> (if <code>biases</code> is not equal to nullptr)</li>
 163 </ol>
 164 <dl class="section note"><dt>Note</dt><dd>The fully connected layer accepts "weights" tensors only with 2 dimensions. </dd></dl>
 165
 166 <p>Definition at line <a class="el" href="_g_c_fully_connected_layer_8h_source.xhtml#l00063">63</a> of file <a class="el" href="_g_c_fully_connected_layer_8h_source.xhtml">GCFullyConnectedLayer.h</a>.</p>
 167 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
 168 <a class="anchor" id="ac0ce422247b7eae1a1931b9717c86ba5"></a>
 169 <div class="memitem">
 170 <div class="memproto">
 171       <table class="memname">
 172         <tr>
 173           <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml">GCFullyConnectedLayer</a> </td>
 174           <td>(</td>
 175           <td class="paramtype">std::shared_ptr&lt; <a class="el" href="classarm__compute_1_1_i_memory_manager.xhtml">IMemoryManager</a> &gt;&#160;</td>
 176           <td class="paramname"><em>memory_manager</em> = <code>nullptr</code></td><td>)</td>
 177           <td></td>
 178         </tr>
 179       </table>
 180 </div><div class="memdoc">
 181
 182 <p>Constructor. </p>
 183
 184 </div>
 185 </div>
 186 <h2 class="groupheader">Member Function Documentation</h2>
 187 <a class="anchor" id="a62aa742a849322e6955bf78f4acebe88"></a>
 188 <div class="memitem">
 189 <div class="memproto">
 190       <table class="memname">
 191         <tr>
 192           <td class="memname">void configure </td>
 193           <td>(</td>
 194           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *&#160;</td>
 195           <td class="paramname"><em>input</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_g_c_tensor.xhtml">IGCTensor</a> *&#160;</td>
 201           <td class="paramname"><em>weights</em>, </td>
 202         </tr>
 203         <tr>
 204           <td class="paramkey"></td>
 205           <td></td>
 206           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *&#160;</td>
 207           <td class="paramname"><em>biases</em>, </td>
 208         </tr>
 209         <tr>
 210           <td class="paramkey"></td>
 211           <td></td>
 212           <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *&#160;</td>
 213           <td class="paramname"><em>output</em>, </td>
 214         </tr>
 215         <tr>
 216           <td class="paramkey"></td>
 217           <td></td>
 218           <td class="paramtype">bool&#160;</td>
 219           <td class="paramname"><em>transpose_weights</em> = <code>true</code>, </td>
 220         </tr>
 221         <tr>
 222           <td class="paramkey"></td>
 223           <td></td>
 224           <td class="paramtype">bool&#160;</td>
 225           <td class="paramname"><em>are_weights_reshaped</em> = <code>false</code>, </td>
 226         </tr>
 227         <tr>
 228           <td class="paramkey"></td>
 229           <td></td>
 230           <td class="paramtype">bool&#160;</td>
 231           <td class="paramname"><em>retain_internal_weights</em> = <code>false</code>&#160;</td>
 232         </tr>
 233         <tr>
 234           <td></td>
 235           <td>)</td>
 236           <td></td><td></td>
 237         </tr>
 238       </table>
 239 </div><div class="memdoc">
 240
 241 <p>Set the input and output tensors. </p>
 242 <dl class="params"><dt>Parameters</dt><dd>
 243   <table class="params">
 244     <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Source tensor. Data type supported: F16/F32. </td></tr>
 245     <tr><td class="paramdir">[in]</td><td class="paramname">weights</td><td>Weights tensor. The weights must be 2 dimensional. Data type supported: Same as <code>input</code> </td></tr>
 246     <tr><td class="paramdir">[in]</td><td class="paramname">biases</td><td>Bias tensor. It can be nullptr. Data type supported:Same as <code>input</code>. </td></tr>
 247     <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Destination tensor. Data type supported: Same as <code>input</code>. </td></tr>
 248     <tr><td class="paramdir">[in]</td><td class="paramname">transpose_weights</td><td>(Optional) Transpose weights if true. Defaults to true. </td></tr>
 249     <tr><td class="paramdir">[in]</td><td class="paramname">are_weights_reshaped</td><td>(Optional) Reshape the weights tensor if false. Defaults to false. </td></tr>
 250     <tr><td class="paramdir">[in]</td><td class="paramname">retain_internal_weights</td><td>(Optional) Retain internal reshaped weights. Defaults to false. Used for reconfiguration purposes. </td></tr>
 251   </table>
 252   </dd>
 253 </dl>
 254
 255 </div>
 256 </div>
 257 <a class="anchor" id="ad1717410afd0be936c6213a63c8005fb"></a>
 258 <div class="memitem">
 259 <div class="memproto">
 260 <table class="mlabels">
 261   <tr>
 262   <td class="mlabels-left">
 263       <table class="memname">
 264         <tr>
 265           <td class="memname">void run </td>
 266           <td>(</td>
 267           <td class="paramname"></td><td>)</td>
 268           <td></td>
 269         </tr>
 270       </table>
 271   </td>
 272   <td class="mlabels-right">
 273 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 274   </tr>
 275 </table>
 276 </div><div class="memdoc">
 277
 278 <p>Run the kernels contained in the function. </p>
 279 <p>For NEON kernels:</p><ul>
 280 <li>Multi-threading is used for the kernels which are parallelisable.</li>
 281 <li>By default std::thread::hardware_concurrency() threads are used.</li>
 282 </ul>
 283 <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>
 284 <p>For OpenCL kernels:</p><ul>
 285 <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>
 286 <li>The queue is then flushed.</li>
 287 </ul>
 288 <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>
 289 <dd>
 290 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>
 291
 292 <p>Implements <a class="el" href="classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b">IFunction</a>.</p>
 293
 294 </div>
 295 </div>
 296 <hr/>The documentation for this class was generated from the following file:<ul>
 297 <li>arm_compute/runtime/GLES_COMPUTE/functions/<a class="el" href="_g_c_fully_connected_layer_8h_source.xhtml">GCFullyConnectedLayer.h</a></li>
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 306     <a href="http://www.doxygen.org/index.html">
 307     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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