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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">GCConvolutionLayer Class Reference</div>  </div>
 123 </div><!--header-->
 124 <div class="contents">
 125
 126 <p>Basic function to compute the convolution layer.
 127  <a href="classarm__compute_1_1_g_c_convolution_layer.xhtml#details">More...</a></p>
 128
 129 <p><code>#include &lt;<a class="el" href="_g_c_convolution_layer_8h_source.xhtml">GCConvolutionLayer.h</a>&gt;</code></p>
 130 <div class="dynheader">
 131 Collaboration diagram for GCConvolutionLayer:</div>
 132 <div class="dyncontent">
 133 <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1_g_c_convolution_layer__coll__graph.svg" width="162" 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:a3f5eb5b7c01f8912b75ed6703327546d"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml#a3f5eb5b7c01f8912b75ed6703327546d">GCConvolutionLayer</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>
 140 <tr class="memdesc:a3f5eb5b7c01f8912b75ed6703327546d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default constructor.  <a href="#a3f5eb5b7c01f8912b75ed6703327546d">More...</a><br /></td></tr>
 141 <tr class="separator:a3f5eb5b7c01f8912b75ed6703327546d"><td class="memSeparator" colspan="2">&#160;</td></tr>
 142 <tr class="memitem:a3509ee3d42daede26e171278011a99bd"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml#a3509ee3d42daede26e171278011a99bd">GCConvolutionLayer</a> (const <a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml">GCConvolutionLayer</a> &amp;)=delete</td></tr>
 143 <tr class="memdesc:a3509ee3d42daede26e171278011a99bd"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers)  <a href="#a3509ee3d42daede26e171278011a99bd">More...</a><br /></td></tr>
 144 <tr class="separator:a3509ee3d42daede26e171278011a99bd"><td class="memSeparator" colspan="2">&#160;</td></tr>
 145 <tr class="memitem:a794be2d2a448608aa574d113ea38d5c1"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml#a794be2d2a448608aa574d113ea38d5c1">GCConvolutionLayer</a> (<a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml">GCConvolutionLayer</a> &amp;&amp;)=default</td></tr>
 146 <tr class="memdesc:a794be2d2a448608aa574d113ea38d5c1"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default move constructor.  <a href="#a794be2d2a448608aa574d113ea38d5c1">More...</a><br /></td></tr>
 147 <tr class="separator:a794be2d2a448608aa574d113ea38d5c1"><td class="memSeparator" colspan="2">&#160;</td></tr>
 148 <tr class="memitem:a87ed9138ded739663871c103fc77b36a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml">GCConvolutionLayer</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml#a87ed9138ded739663871c103fc77b36a">operator=</a> (const <a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml">GCConvolutionLayer</a> &amp;)=delete</td></tr>
 149 <tr class="memdesc:a87ed9138ded739663871c103fc77b36a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers)  <a href="#a87ed9138ded739663871c103fc77b36a">More...</a><br /></td></tr>
 150 <tr class="separator:a87ed9138ded739663871c103fc77b36a"><td class="memSeparator" colspan="2">&#160;</td></tr>
 151 <tr class="memitem:a0a2e80b84845bf2538dd5770089913b7"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml">GCConvolutionLayer</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml#a0a2e80b84845bf2538dd5770089913b7">operator=</a> (<a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml">GCConvolutionLayer</a> &amp;&amp;)=default</td></tr>
 152 <tr class="memdesc:a0a2e80b84845bf2538dd5770089913b7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default move assignment operator.  <a href="#a0a2e80b84845bf2538dd5770089913b7">More...</a><br /></td></tr>
 153 <tr class="separator:a0a2e80b84845bf2538dd5770089913b7"><td class="memSeparator" colspan="2">&#160;</td></tr>
 154 <tr class="memitem:aaa2276aa1f055e47229f9e35d4e84641"><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_convolution_layer.xhtml#aaa2276aa1f055e47229f9e35d4e84641">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, 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_weights_info.xhtml">WeightsInfo</a> &amp;weights_info=<a class="el" href="classarm__compute_1_1_weights_info.xhtml">WeightsInfo</a>(), const <a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> &amp;dilation=<a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(1U, 1U), const ActivationLayerInfo &amp;act_info=ActivationLayerInfo())</td></tr>
 155 <tr class="memdesc:aaa2276aa1f055e47229f9e35d4e84641"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the input and output tensors.  <a href="#aaa2276aa1f055e47229f9e35d4e84641">More...</a><br /></td></tr>
 156 <tr class="separator:aaa2276aa1f055e47229f9e35d4e84641"><td class="memSeparator" colspan="2">&#160;</td></tr>
 157 <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_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a> () override</td></tr>
 158 <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>
 159 <tr class="separator:ad1717410afd0be936c6213a63c8005fb"><td class="memSeparator" colspan="2">&#160;</td></tr>
 160 <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>
 161 <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>
 162 <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>
 163 <tr class="separator:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2">&#160;</td></tr>
 164 <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>
 165 <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>
 166 <tr class="separator:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2">&#160;</td></tr>
 167 </table><table class="memberdecls">
 168 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a>
 169 Static Public Member Functions</h2></td></tr>
 170 <tr class="memitem:a1b7c323a478af89bec44d724a3cce2d9"><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_g_c_convolution_layer.xhtml#a1b7c323a478af89bec44d724a3cce2d9">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_weights_info.xhtml">WeightsInfo</a> &amp;weights_info=<a class="el" href="classarm__compute_1_1_weights_info.xhtml">WeightsInfo</a>(), const <a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> &amp;dilation=<a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(1U, 1U), const ActivationLayerInfo &amp;act_info=ActivationLayerInfo())</td></tr>
 171 <tr class="memdesc:a1b7c323a478af89bec44d724a3cce2d9"><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_g_c_convolution_layer.xhtml">GCConvolutionLayer</a>.  <a href="#a1b7c323a478af89bec44d724a3cce2d9">More...</a><br /></td></tr>
 172 <tr class="separator:a1b7c323a478af89bec44d724a3cce2d9"><td class="memSeparator" colspan="2">&#160;</td></tr>
 173 </table>
 174 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 175 <div class="textblock"><p>Basic function to compute the convolution layer. </p>
 176 <p>This function calls the following GLES kernels:</p>
 177 <ol type="1">
 178 <li><a class="el" href="classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml">GCWeightsReshapeKernel</a> (executed only once for each configuration)</li>
 179 <li><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_transpose1x_w_kernel.xhtml">GCGEMMTranspose1xWKernel</a> (executed only once for each configuration)</li>
 180 <li><a class="el" href="classarm__compute_1_1_g_c_im2_col_kernel.xhtml">GCIm2ColKernel</a></li>
 181 <li><a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml">GCGEMMInterleave4x4Kernel</a></li>
 182 <li><a class="el" href="classarm__compute_1_1_g_c_col2_im_kernel.xhtml">GCCol2ImKernel</a> </li>
 183 </ol>
 184
 185 <p>Definition at line <a class="el" href="_g_c_convolution_layer_8h_source.xhtml#l00077">77</a> of file <a class="el" href="_g_c_convolution_layer_8h_source.xhtml">GCConvolutionLayer.h</a>.</p>
 186 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
 187 <a class="anchor" id="a3f5eb5b7c01f8912b75ed6703327546d"></a>
 188 <div class="memitem">
 189 <div class="memproto">
 190       <table class="memname">
 191         <tr>
 192           <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml">GCConvolutionLayer</a> </td>
 193           <td>(</td>
 194           <td class="paramtype">std::shared_ptr&lt; <a class="el" href="classarm__compute_1_1_i_memory_manager.xhtml">IMemoryManager</a> &gt;&#160;</td>
 195           <td class="paramname"><em>memory_manager</em> = <code>nullptr</code></td><td>)</td>
 196           <td></td>
 197         </tr>
 198       </table>
 199 </div><div class="memdoc">
 200
 201 <p>Default constructor. </p>
 202
 203 </div>
 204 </div>
 205 <a class="anchor" id="a3509ee3d42daede26e171278011a99bd"></a>
 206 <div class="memitem">
 207 <div class="memproto">
 208 <table class="mlabels">
 209   <tr>
 210   <td class="mlabels-left">
 211       <table class="memname">
 212         <tr>
 213           <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml">GCConvolutionLayer</a> </td>
 214           <td>(</td>
 215           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml">GCConvolutionLayer</a> &amp;&#160;</td>
 216           <td class="paramname"></td><td>)</td>
 217           <td></td>
 218         </tr>
 219       </table>
 220   </td>
 221   <td class="mlabels-right">
 222 <span class="mlabels"><span class="mlabel">delete</span></span>  </td>
 223   </tr>
 224 </table>
 225 </div><div class="memdoc">
 226
 227 <p>Prevent instances of this class from being copied (As this class contains pointers) </p>
 228
 229 </div>
 230 </div>
 231 <a class="anchor" id="a794be2d2a448608aa574d113ea38d5c1"></a>
 232 <div class="memitem">
 233 <div class="memproto">
 234 <table class="mlabels">
 235   <tr>
 236   <td class="mlabels-left">
 237       <table class="memname">
 238         <tr>
 239           <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml">GCConvolutionLayer</a> </td>
 240           <td>(</td>
 241           <td class="paramtype"><a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml">GCConvolutionLayer</a> &amp;&amp;&#160;</td>
 242           <td class="paramname"></td><td>)</td>
 243           <td></td>
 244         </tr>
 245       </table>
 246   </td>
 247   <td class="mlabels-right">
 248 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
 249   </tr>
 250 </table>
 251 </div><div class="memdoc">
 252
 253 <p>Default move constructor. </p>
 254
 255 </div>
 256 </div>
 257 <h2 class="groupheader">Member Function Documentation</h2>
 258 <a class="anchor" id="aaa2276aa1f055e47229f9e35d4e84641"></a>
 259 <div class="memitem">
 260 <div class="memproto">
 261       <table class="memname">
 262         <tr>
 263           <td class="memname">void configure </td>
 264           <td>(</td>
 265           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *&#160;</td>
 266           <td class="paramname"><em>input</em>, </td>
 267         </tr>
 268         <tr>
 269           <td class="paramkey"></td>
 270           <td></td>
 271           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *&#160;</td>
 272           <td class="paramname"><em>weights</em>, </td>
 273         </tr>
 274         <tr>
 275           <td class="paramkey"></td>
 276           <td></td>
 277           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *&#160;</td>
 278           <td class="paramname"><em>biases</em>, </td>
 279         </tr>
 280         <tr>
 281           <td class="paramkey"></td>
 282           <td></td>
 283           <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *&#160;</td>
 284           <td class="paramname"><em>output</em>, </td>
 285         </tr>
 286         <tr>
 287           <td class="paramkey"></td>
 288           <td></td>
 289           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;&#160;</td>
 290           <td class="paramname"><em>conv_info</em>, </td>
 291         </tr>
 292         <tr>
 293           <td class="paramkey"></td>
 294           <td></td>
 295           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_weights_info.xhtml">WeightsInfo</a> &amp;&#160;</td>
 296           <td class="paramname"><em>weights_info</em> = <code><a class="el" href="classarm__compute_1_1_weights_info.xhtml">WeightsInfo</a>()</code>, </td>
 297         </tr>
 298         <tr>
 299           <td class="paramkey"></td>
 300           <td></td>
 301           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> &amp;&#160;</td>
 302           <td class="paramname"><em>dilation</em> = <code><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(1U,&#160;1U)</code>, </td>
 303         </tr>
 304         <tr>
 305           <td class="paramkey"></td>
 306           <td></td>
 307           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> &amp;&#160;</td>
 308           <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>
 309         </tr>
 310         <tr>
 311           <td></td>
 312           <td>)</td>
 313           <td></td><td></td>
 314         </tr>
 315       </table>
 316 </div><div class="memdoc">
 317
 318 <p>Set the input and output tensors. </p>
 319 <dl class="params"><dt>Parameters</dt><dd>
 320   <table class="params">
 321     <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: F16/F32. </td></tr>
 322     <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>
 323     <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>
 324     <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>
 325     <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>
 326     <tr><td class="paramdir">[in]</td><td class="paramname">weights_info</td><td>Specifies if the weights tensor has been reshaped with <a class="el" href="classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml" title="GLES Compute kernel to perform reshaping on the weights used by convolution and locally connected lay...">GCWeightsReshapeKernel</a>. If this is not part of the fully connected layer the weights tensor has also been transposed with <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_transpose1x_w_kernel.xhtml" title="OpenGLES kernel which transposes the elements of a matrix in chunks of 1xW, where W is equal to (16 /...">GCGEMMTranspose1xWKernel</a>. Data type supported: Same as <code>input</code>. </td></tr>
 327     <tr><td class="paramdir">[in]</td><td class="paramname">dilation</td><td>(Optional) Dilation, in elements, across x and y. Defaults to (1, 1). </td></tr>
 328     <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>
 329   </table>
 330   </dd>
 331 </dl>
 332
 333 </div>
 334 </div>
 335 <a class="anchor" id="a87ed9138ded739663871c103fc77b36a"></a>
 336 <div class="memitem">
 337 <div class="memproto">
 338 <table class="mlabels">
 339   <tr>
 340   <td class="mlabels-left">
 341       <table class="memname">
 342         <tr>
 343           <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml">GCConvolutionLayer</a>&amp; operator= </td>
 344           <td>(</td>
 345           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml">GCConvolutionLayer</a> &amp;&#160;</td>
 346           <td class="paramname"></td><td>)</td>
 347           <td></td>
 348         </tr>
 349       </table>
 350   </td>
 351   <td class="mlabels-right">
 352 <span class="mlabels"><span class="mlabel">delete</span></span>  </td>
 353   </tr>
 354 </table>
 355 </div><div class="memdoc">
 356
 357 <p>Prevent instances of this class from being copied (As this class contains pointers) </p>
 358
 359 </div>
 360 </div>
 361 <a class="anchor" id="a0a2e80b84845bf2538dd5770089913b7"></a>
 362 <div class="memitem">
 363 <div class="memproto">
 364 <table class="mlabels">
 365   <tr>
 366   <td class="mlabels-left">
 367       <table class="memname">
 368         <tr>
 369           <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml">GCConvolutionLayer</a>&amp; operator= </td>
 370           <td>(</td>
 371           <td class="paramtype"><a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml">GCConvolutionLayer</a> &amp;&amp;&#160;</td>
 372           <td class="paramname"></td><td>)</td>
 373           <td></td>
 374         </tr>
 375       </table>
 376   </td>
 377   <td class="mlabels-right">
 378 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
 379   </tr>
 380 </table>
 381 </div><div class="memdoc">
 382
 383 <p>Default move assignment operator. </p>
 384
 385 </div>
 386 </div>
 387 <a class="anchor" id="ad1717410afd0be936c6213a63c8005fb"></a>
 388 <div class="memitem">
 389 <div class="memproto">
 390 <table class="mlabels">
 391   <tr>
 392   <td class="mlabels-left">
 393       <table class="memname">
 394         <tr>
 395           <td class="memname">void run </td>
 396           <td>(</td>
 397           <td class="paramname"></td><td>)</td>
 398           <td></td>
 399         </tr>
 400       </table>
 401   </td>
 402   <td class="mlabels-right">
 403 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 404   </tr>
 405 </table>
 406 </div><div class="memdoc">
 407
 408 <p>Run the kernels contained in the function. </p>
 409 <p>For NEON kernels:</p><ul>
 410 <li>Multi-threading is used for the kernels which are parallelisable.</li>
 411 <li>By default std::thread::hardware_concurrency() threads are used.</li>
 412 </ul>
 413 <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>
 414 <p>For OpenCL kernels:</p><ul>
 415 <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>
 416 <li>The queue is then flushed.</li>
 417 </ul>
 418 <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>
 419 <dd>
 420 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>
 421
 422 <p>Implements <a class="el" href="classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b">IFunction</a>.</p>
 423
 424 </div>
 425 </div>
 426 <a class="anchor" id="a1b7c323a478af89bec44d724a3cce2d9"></a>
 427 <div class="memitem">
 428 <div class="memproto">
 429 <table class="mlabels">
 430   <tr>
 431   <td class="mlabels-left">
 432       <table class="memname">
 433         <tr>
 434           <td class="memname">static <a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> validate </td>
 435           <td>(</td>
 436           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
 437           <td class="paramname"><em>input</em>, </td>
 438         </tr>
 439         <tr>
 440           <td class="paramkey"></td>
 441           <td></td>
 442           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
 443           <td class="paramname"><em>weights</em>, </td>
 444         </tr>
 445         <tr>
 446           <td class="paramkey"></td>
 447           <td></td>
 448           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
 449           <td class="paramname"><em>biases</em>, </td>
 450         </tr>
 451         <tr>
 452           <td class="paramkey"></td>
 453           <td></td>
 454           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
 455           <td class="paramname"><em>output</em>, </td>
 456         </tr>
 457         <tr>
 458           <td class="paramkey"></td>
 459           <td></td>
 460           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;&#160;</td>
 461           <td class="paramname"><em>conv_info</em>, </td>
 462         </tr>
 463         <tr>
 464           <td class="paramkey"></td>
 465           <td></td>
 466           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_weights_info.xhtml">WeightsInfo</a> &amp;&#160;</td>
 467           <td class="paramname"><em>weights_info</em> = <code><a class="el" href="classarm__compute_1_1_weights_info.xhtml">WeightsInfo</a>()</code>, </td>
 468         </tr>
 469         <tr>
 470           <td class="paramkey"></td>
 471           <td></td>
 472           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> &amp;&#160;</td>
 473           <td class="paramname"><em>dilation</em> = <code><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(1U,&#160;1U)</code>, </td>
 474         </tr>
 475         <tr>
 476           <td class="paramkey"></td>
 477           <td></td>
 478           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> &amp;&#160;</td>
 479           <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>
 480         </tr>
 481         <tr>
 482           <td></td>
 483           <td>)</td>
 484           <td></td><td></td>
 485         </tr>
 486       </table>
 487   </td>
 488   <td class="mlabels-right">
 489 <span class="mlabels"><span class="mlabel">static</span></span>  </td>
 490   </tr>
 491 </table>
 492 </div><div class="memdoc">
 493
 494 <p>Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml">GCConvolutionLayer</a>. </p>
 495 <dl class="params"><dt>Parameters</dt><dd>
 496   <table class="params">
 497     <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>
 498     <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>
 499     <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>
 500     <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>
 501     <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>
 502     <tr><td class="paramdir">[in]</td><td class="paramname">weights_info</td><td>Specifies if the weights tensor has been reshaped with <a class="el" href="classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml" title="GLES Compute kernel to perform reshaping on the weights used by convolution and locally connected lay...">GCWeightsReshapeKernel</a>. If this is not part of the fully connected layer the weights tensor has also been transposed with <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_transpose1x_w_kernel.xhtml" title="OpenGLES kernel which transposes the elements of a matrix in chunks of 1xW, where W is equal to (16 /...">GCGEMMTranspose1xWKernel</a>. Data type supported: Same as <code>input</code>. </td></tr>
 503     <tr><td class="paramdir">[in]</td><td class="paramname">dilation</td><td>(Optional) Dilation, in elements, across x and y. Defaults to (1, 1). </td></tr>
 504     <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>
 505   </table>
 506   </dd>
 507 </dl>
 508 <dl class="section return"><dt>Returns</dt><dd>a status </dd></dl>
 509
 510 </div>
 511 </div>
 512 <hr/>The documentation for this class was generated from the following file:<ul>
 513 <li>arm_compute/runtime/GLES_COMPUTE/functions/<a class="el" href="_g_c_convolution_layer_8h_source.xhtml">GCConvolutionLayer.h</a></li>
 514 </ul>
 515 </div><!-- contents -->
 516 </div><!-- doc-content -->
 517 <!-- start footer part -->
 518 <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
 519   <ul>
 520     <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_g_c_convolution_layer.xhtml">GCConvolutionLayer</a></li>
 521     <li class="footer">Generated on Wed May 23 2018 11:36:41 for Compute Library by
 522     <a href="http://www.doxygen.org/index.html">
 523     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
 524   </ul>
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 526 </body>
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