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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">NEDeconvolutionLayer Class Reference</div>  </div>
 123 </div><!--header-->
 124 <div class="contents">
 125
 126 <p>Function to run the deconvolution layer.
 127  <a href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml#details">More...</a></p>
 128
 129 <p><code>#include &lt;<a class="el" href="_n_e_deconvolution_layer_8h_source.xhtml">NEDeconvolutionLayer.h</a>&gt;</code></p>
 130 <div class="dynheader">
 131 Collaboration diagram for NEDeconvolutionLayer:</div>
 132 <div class="dyncontent">
 133 <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1_n_e_deconvolution_layer__coll__graph.svg" width="178" 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:a7eed3415cae42b9a35a5ffa5267281d9"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml#a7eed3415cae42b9a35a5ffa5267281d9">NEDeconvolutionLayer</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:a7eed3415cae42b9a35a5ffa5267281d9"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default constructor.  <a href="#a7eed3415cae42b9a35a5ffa5267281d9">More...</a><br /></td></tr>
 141 <tr class="separator:a7eed3415cae42b9a35a5ffa5267281d9"><td class="memSeparator" colspan="2">&#160;</td></tr>
 142 <tr class="memitem:ad14903ce0bc1e71d5d80d05652391985"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml#ad14903ce0bc1e71d5d80d05652391985">NEDeconvolutionLayer</a> (const <a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml">NEDeconvolutionLayer</a> &amp;)=delete</td></tr>
 143 <tr class="memdesc:ad14903ce0bc1e71d5d80d05652391985"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers)  <a href="#ad14903ce0bc1e71d5d80d05652391985">More...</a><br /></td></tr>
 144 <tr class="separator:ad14903ce0bc1e71d5d80d05652391985"><td class="memSeparator" colspan="2">&#160;</td></tr>
 145 <tr class="memitem:af81e2210787e1864c8bc6458b3072f6e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml">NEDeconvolutionLayer</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml#af81e2210787e1864c8bc6458b3072f6e">operator=</a> (const <a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml">NEDeconvolutionLayer</a> &amp;)=delete</td></tr>
 146 <tr class="memdesc:af81e2210787e1864c8bc6458b3072f6e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers)  <a href="#af81e2210787e1864c8bc6458b3072f6e">More...</a><br /></td></tr>
 147 <tr class="separator:af81e2210787e1864c8bc6458b3072f6e"><td class="memSeparator" colspan="2">&#160;</td></tr>
 148 <tr class="memitem:a0071ab54dfbc65a74a7f17727ce9315d"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml#a0071ab54dfbc65a74a7f17727ce9315d">NEDeconvolutionLayer</a> (<a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml">NEDeconvolutionLayer</a> &amp;&amp;)=default</td></tr>
 149 <tr class="memdesc:a0071ab54dfbc65a74a7f17727ce9315d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be moved.  <a href="#a0071ab54dfbc65a74a7f17727ce9315d">More...</a><br /></td></tr>
 150 <tr class="separator:a0071ab54dfbc65a74a7f17727ce9315d"><td class="memSeparator" colspan="2">&#160;</td></tr>
 151 <tr class="memitem:ad441ee7d0846b6acc9d515383525ba52"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml">NEDeconvolutionLayer</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml#ad441ee7d0846b6acc9d515383525ba52">operator=</a> (<a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml">NEDeconvolutionLayer</a> &amp;&amp;)=default</td></tr>
 152 <tr class="memdesc:ad441ee7d0846b6acc9d515383525ba52"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be moved.  <a href="#ad441ee7d0846b6acc9d515383525ba52">More...</a><br /></td></tr>
 153 <tr class="separator:ad441ee7d0846b6acc9d515383525ba52"><td class="memSeparator" colspan="2">&#160;</td></tr>
 154 <tr class="memitem:a790d14a2d09d003f656bdfdf9cdb9150"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml#a790d14a2d09d003f656bdfdf9cdb9150">~NEDeconvolutionLayer</a> ()=default</td></tr>
 155 <tr class="memdesc:a790d14a2d09d003f656bdfdf9cdb9150"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default destructor.  <a href="#a790d14a2d09d003f656bdfdf9cdb9150">More...</a><br /></td></tr>
 156 <tr class="separator:a790d14a2d09d003f656bdfdf9cdb9150"><td class="memSeparator" colspan="2">&#160;</td></tr>
 157 <tr class="memitem:af7844db7c841f3f117547b7bd6ccfc55"><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_deconvolution_layer.xhtml#af7844db7c841f3f117547b7bd6ccfc55">configure</a> (<a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, const <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> *bias, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;info, unsigned int inner_border_right, unsigned int inner_border_top)</td></tr>
 158 <tr class="memdesc:af7844db7c841f3f117547b7bd6ccfc55"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the input, weights, biases and output tensors.  <a href="#af7844db7c841f3f117547b7bd6ccfc55">More...</a><br /></td></tr>
 159 <tr class="separator:af7844db7c841f3f117547b7bd6ccfc55"><td class="memSeparator" colspan="2">&#160;</td></tr>
 160 <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_deconvolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a> () override</td></tr>
 161 <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>
 162 <tr class="separator:ad1717410afd0be936c6213a63c8005fb"><td class="memSeparator" colspan="2">&#160;</td></tr>
 163 <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>
 164 <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>
 165 <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>
 166 <tr class="separator:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2">&#160;</td></tr>
 167 <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>
 168 <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>
 169 <tr class="separator:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2">&#160;</td></tr>
 170 </table><table class="memberdecls">
 171 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a>
 172 Static Public Member Functions</h2></td></tr>
 173 <tr class="memitem:ac8a80636a5f700d9de2fe415cb721407"><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_n_e_deconvolution_layer.xhtml#ac8a80636a5f700d9de2fe415cb721407">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> *bias, 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;info, unsigned int inner_border_right, unsigned int inner_border_top)</td></tr>
 174 <tr class="memdesc:ac8a80636a5f700d9de2fe415cb721407"><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_n_e_deconvolution_layer.xhtml">NEDeconvolutionLayer</a>.  <a href="#ac8a80636a5f700d9de2fe415cb721407">More...</a><br /></td></tr>
 175 <tr class="separator:ac8a80636a5f700d9de2fe415cb721407"><td class="memSeparator" colspan="2">&#160;</td></tr>
 176 </table>
 177 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 178 <div class="textblock"><p>Function to run the deconvolution layer. </p>
 179 <p>Deconvolution Layer is the backward pass of Convolution Layer. First we transform the input depending on the stride and pad info and then perfrom a 1x1 convolution pass. Input stride defines how many zeroes we should put between each element of the input, pad is the amount of padding and finaly a is a user specified value where a &lt; stride - 1 that increases the padding top and right of the input image.</p>
 180 <p>The relation between input to output is as follows: width_output = round((width_input − 1) ∗ (stride_x - 1) − 2 ∗ padding_x + kernel_x + inner_border_right ) height_output = round((height_input − 1) ∗ (stride_y - 1) − 2 ∗ padding_y + kernel_y + inner_border_top )</p>
 181 <p>where width is the size of the first input dimension. height is the size of the second input dimension. width_output is the size of the first output dimension. height_output is the size of the second output dimension. kernel_x and kernel_y are the convolution sizes in x and y. inner_border_right and inner_border_top the number of zeros added to the top and right edges of the input. stride_x and stride_y is the input stride of the first and second dimension.</p>
 182 <p>This function calls the following NEON kernels:</p>
 183 <ol type="1">
 184 <li><a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer.xhtml">NEDirectConvolutionLayer</a> </li>
 185 </ol>
 186
 187 <p>Definition at line <a class="el" href="_n_e_deconvolution_layer_8h_source.xhtml#l00065">65</a> of file <a class="el" href="_n_e_deconvolution_layer_8h_source.xhtml">NEDeconvolutionLayer.h</a>.</p>
 188 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
 189 <a class="anchor" id="a7eed3415cae42b9a35a5ffa5267281d9"></a>
 190 <div class="memitem">
 191 <div class="memproto">
 192       <table class="memname">
 193         <tr>
 194           <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml">NEDeconvolutionLayer</a> </td>
 195           <td>(</td>
 196           <td class="paramtype">std::shared_ptr&lt; <a class="el" href="classarm__compute_1_1_i_memory_manager.xhtml">IMemoryManager</a> &gt;&#160;</td>
 197           <td class="paramname"><em>memory_manager</em> = <code>nullptr</code></td><td>)</td>
 198           <td></td>
 199         </tr>
 200       </table>
 201 </div><div class="memdoc">
 202
 203 <p>Default constructor. </p>
 204
 205 </div>
 206 </div>
 207 <a class="anchor" id="ad14903ce0bc1e71d5d80d05652391985"></a>
 208 <div class="memitem">
 209 <div class="memproto">
 210 <table class="mlabels">
 211   <tr>
 212   <td class="mlabels-left">
 213       <table class="memname">
 214         <tr>
 215           <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml">NEDeconvolutionLayer</a> </td>
 216           <td>(</td>
 217           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml">NEDeconvolutionLayer</a> &amp;&#160;</td>
 218           <td class="paramname"></td><td>)</td>
 219           <td></td>
 220         </tr>
 221       </table>
 222   </td>
 223   <td class="mlabels-right">
 224 <span class="mlabels"><span class="mlabel">delete</span></span>  </td>
 225   </tr>
 226 </table>
 227 </div><div class="memdoc">
 228
 229 <p>Prevent instances of this class from being copied (As this class contains pointers) </p>
 230
 231 </div>
 232 </div>
 233 <a class="anchor" id="a0071ab54dfbc65a74a7f17727ce9315d"></a>
 234 <div class="memitem">
 235 <div class="memproto">
 236 <table class="mlabels">
 237   <tr>
 238   <td class="mlabels-left">
 239       <table class="memname">
 240         <tr>
 241           <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml">NEDeconvolutionLayer</a> </td>
 242           <td>(</td>
 243           <td class="paramtype"><a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml">NEDeconvolutionLayer</a> &amp;&amp;&#160;</td>
 244           <td class="paramname"></td><td>)</td>
 245           <td></td>
 246         </tr>
 247       </table>
 248   </td>
 249   <td class="mlabels-right">
 250 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
 251   </tr>
 252 </table>
 253 </div><div class="memdoc">
 254
 255 <p>Allow instances of this class to be moved. </p>
 256
 257 </div>
 258 </div>
 259 <a class="anchor" id="a790d14a2d09d003f656bdfdf9cdb9150"></a>
 260 <div class="memitem">
 261 <div class="memproto">
 262 <table class="mlabels">
 263   <tr>
 264   <td class="mlabels-left">
 265       <table class="memname">
 266         <tr>
 267           <td class="memname">virtual ~<a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml">NEDeconvolutionLayer</a> </td>
 268           <td>(</td>
 269           <td class="paramname"></td><td>)</td>
 270           <td></td>
 271         </tr>
 272       </table>
 273   </td>
 274   <td class="mlabels-right">
 275 <span class="mlabels"><span class="mlabel">virtual</span><span class="mlabel">default</span></span>  </td>
 276   </tr>
 277 </table>
 278 </div><div class="memdoc">
 279
 280 <p>Default destructor. </p>
 281
 282 </div>
 283 </div>
 284 <h2 class="groupheader">Member Function Documentation</h2>
 285 <a class="anchor" id="af7844db7c841f3f117547b7bd6ccfc55"></a>
 286 <div class="memitem">
 287 <div class="memproto">
 288       <table class="memname">
 289         <tr>
 290           <td class="memname">void configure </td>
 291           <td>(</td>
 292           <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
 293           <td class="paramname"><em>input</em>, </td>
 294         </tr>
 295         <tr>
 296           <td class="paramkey"></td>
 297           <td></td>
 298           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
 299           <td class="paramname"><em>weights</em>, </td>
 300         </tr>
 301         <tr>
 302           <td class="paramkey"></td>
 303           <td></td>
 304           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
 305           <td class="paramname"><em>bias</em>, </td>
 306         </tr>
 307         <tr>
 308           <td class="paramkey"></td>
 309           <td></td>
 310           <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
 311           <td class="paramname"><em>output</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_pad_stride_info.xhtml">PadStrideInfo</a> &amp;&#160;</td>
 317           <td class="paramname"><em>info</em>, </td>
 318         </tr>
 319         <tr>
 320           <td class="paramkey"></td>
 321           <td></td>
 322           <td class="paramtype">unsigned int&#160;</td>
 323           <td class="paramname"><em>inner_border_right</em>, </td>
 324         </tr>
 325         <tr>
 326           <td class="paramkey"></td>
 327           <td></td>
 328           <td class="paramtype">unsigned int&#160;</td>
 329           <td class="paramname"><em>inner_border_top</em>&#160;</td>
 330         </tr>
 331         <tr>
 332           <td></td>
 333           <td>)</td>
 334           <td></td><td></td>
 335         </tr>
 336       </table>
 337 </div><div class="memdoc">
 338
 339 <p>Set the input, weights, biases and output tensors. </p>
 340 <dl class="params"><dt>Parameters</dt><dd>
 341   <table class="params">
 342     <tr><td class="paramdir">[in,out]</td><td class="paramname">input</td><td>Input tensor. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: F32. </td></tr>
 343     <tr><td class="paramdir">[in]</td><td class="paramname">weights</td><td>The 4d weights with dimensions [width, height, IFM, OFM]. Data type supported: Same as <code>input</code>. </td></tr>
 344     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>Optional, ignored if NULL. The biases have one dimension. Data type supported: Same as <code>input</code>. </td></tr>
 345     <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Output tensor. The output has the same number of dimensions as the <code>input</code>. </td></tr>
 346     <tr><td class="paramdir">[in]</td><td class="paramname">info</td><td>Contains padding and policies to be used in the deconvolution, this is decribed in <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>. </td></tr>
 347     <tr><td class="paramdir">[in]</td><td class="paramname">inner_border_right</td><td>The number of zeros added to right edge of the input. </td></tr>
 348     <tr><td class="paramdir">[in]</td><td class="paramname">inner_border_top</td><td>The number of zeros added to top edge of the input. </td></tr>
 349   </table>
 350   </dd>
 351 </dl>
 352
 353 </div>
 354 </div>
 355 <a class="anchor" id="af81e2210787e1864c8bc6458b3072f6e"></a>
 356 <div class="memitem">
 357 <div class="memproto">
 358 <table class="mlabels">
 359   <tr>
 360   <td class="mlabels-left">
 361       <table class="memname">
 362         <tr>
 363           <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml">NEDeconvolutionLayer</a>&amp; operator= </td>
 364           <td>(</td>
 365           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml">NEDeconvolutionLayer</a> &amp;&#160;</td>
 366           <td class="paramname"></td><td>)</td>
 367           <td></td>
 368         </tr>
 369       </table>
 370   </td>
 371   <td class="mlabels-right">
 372 <span class="mlabels"><span class="mlabel">delete</span></span>  </td>
 373   </tr>
 374 </table>
 375 </div><div class="memdoc">
 376
 377 <p>Prevent instances of this class from being copied (As this class contains pointers) </p>
 378
 379 </div>
 380 </div>
 381 <a class="anchor" id="ad441ee7d0846b6acc9d515383525ba52"></a>
 382 <div class="memitem">
 383 <div class="memproto">
 384 <table class="mlabels">
 385   <tr>
 386   <td class="mlabels-left">
 387       <table class="memname">
 388         <tr>
 389           <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml">NEDeconvolutionLayer</a>&amp; operator= </td>
 390           <td>(</td>
 391           <td class="paramtype"><a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml">NEDeconvolutionLayer</a> &amp;&amp;&#160;</td>
 392           <td class="paramname"></td><td>)</td>
 393           <td></td>
 394         </tr>
 395       </table>
 396   </td>
 397   <td class="mlabels-right">
 398 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
 399   </tr>
 400 </table>
 401 </div><div class="memdoc">
 402
 403 <p>Allow instances of this class to be moved. </p>
 404
 405 </div>
 406 </div>
 407 <a class="anchor" id="ad1717410afd0be936c6213a63c8005fb"></a>
 408 <div class="memitem">
 409 <div class="memproto">
 410 <table class="mlabels">
 411   <tr>
 412   <td class="mlabels-left">
 413       <table class="memname">
 414         <tr>
 415           <td class="memname">void run </td>
 416           <td>(</td>
 417           <td class="paramname"></td><td>)</td>
 418           <td></td>
 419         </tr>
 420       </table>
 421   </td>
 422   <td class="mlabels-right">
 423 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 424   </tr>
 425 </table>
 426 </div><div class="memdoc">
 427
 428 <p>Run the kernels contained in the function. </p>
 429 <p>For NEON kernels:</p><ul>
 430 <li>Multi-threading is used for the kernels which are parallelisable.</li>
 431 <li>By default std::thread::hardware_concurrency() threads are used.</li>
 432 </ul>
 433 <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>
 434 <p>For OpenCL kernels:</p><ul>
 435 <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>
 436 <li>The queue is then flushed.</li>
 437 </ul>
 438 <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>
 439 <dd>
 440 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>
 441
 442 <p>Implements <a class="el" href="classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b">IFunction</a>.</p>
 443
 444 </div>
 445 </div>
 446 <a class="anchor" id="ac8a80636a5f700d9de2fe415cb721407"></a>
 447 <div class="memitem">
 448 <div class="memproto">
 449 <table class="mlabels">
 450   <tr>
 451   <td class="mlabels-left">
 452       <table class="memname">
 453         <tr>
 454           <td class="memname">static <a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> validate </td>
 455           <td>(</td>
 456           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
 457           <td class="paramname"><em>input</em>, </td>
 458         </tr>
 459         <tr>
 460           <td class="paramkey"></td>
 461           <td></td>
 462           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
 463           <td class="paramname"><em>weights</em>, </td>
 464         </tr>
 465         <tr>
 466           <td class="paramkey"></td>
 467           <td></td>
 468           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
 469           <td class="paramname"><em>bias</em>, </td>
 470         </tr>
 471         <tr>
 472           <td class="paramkey"></td>
 473           <td></td>
 474           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
 475           <td class="paramname"><em>output</em>, </td>
 476         </tr>
 477         <tr>
 478           <td class="paramkey"></td>
 479           <td></td>
 480           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;&#160;</td>
 481           <td class="paramname"><em>info</em>, </td>
 482         </tr>
 483         <tr>
 484           <td class="paramkey"></td>
 485           <td></td>
 486           <td class="paramtype">unsigned int&#160;</td>
 487           <td class="paramname"><em>inner_border_right</em>, </td>
 488         </tr>
 489         <tr>
 490           <td class="paramkey"></td>
 491           <td></td>
 492           <td class="paramtype">unsigned int&#160;</td>
 493           <td class="paramname"><em>inner_border_top</em>&#160;</td>
 494         </tr>
 495         <tr>
 496           <td></td>
 497           <td>)</td>
 498           <td></td><td></td>
 499         </tr>
 500       </table>
 501   </td>
 502   <td class="mlabels-right">
 503 <span class="mlabels"><span class="mlabel">static</span></span>  </td>
 504   </tr>
 505 </table>
 506 </div><div class="memdoc">
 507
 508 <p>Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_n_e_deconvolution_layer.xhtml">NEDeconvolutionLayer</a>. </p>
 509 <dl class="params"><dt>Parameters</dt><dd>
 510   <table class="params">
 511     <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Input tensor info. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: F32. </td></tr>
 512     <tr><td class="paramdir">[in]</td><td class="paramname">weights</td><td>The 4d weights info with dimensions [width, height, IFM, OFM]. Data type supported: Same as <code>input</code>. </td></tr>
 513     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>(Optional) The biases have one dimension. Data type supported: Same as <code>input</code>. </td></tr>
 514     <tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>Output tensor info. The output has the same number of dimensions as the <code>input</code>. </td></tr>
 515     <tr><td class="paramdir">[in]</td><td class="paramname">info</td><td>Contains padding and policies to be used in the deconvolution, this is decribed in <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>. </td></tr>
 516     <tr><td class="paramdir">[in]</td><td class="paramname">inner_border_right</td><td>The number of zeros added to right edge of the input. </td></tr>
 517     <tr><td class="paramdir">[in]</td><td class="paramname">inner_border_top</td><td>The number of zeros added to top edge of the input.</td></tr>
 518   </table>
 519   </dd>
 520 </dl>
 521 <dl class="section return"><dt>Returns</dt><dd>a status </dd></dl>
 522
 523 </div>
 524 </div>
 525 <hr/>The documentation for this class was generated from the following file:<ul>
 526 <li>arm_compute/runtime/NEON/functions/<a class="el" href="_n_e_deconvolution_layer_8h_source.xhtml">NEDeconvolutionLayer.h</a></li>
 527 </ul>
 528 </div><!-- contents -->
 529 </div><!-- doc-content -->
 530 <!-- start footer part -->
 531 <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
 532   <ul>
 533     <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_n_e_deconvolution_layer.xhtml">NEDeconvolutionLayer</a></li>
 534     <li class="footer">Generated on Wed May 23 2018 11:36:42 for Compute Library by
 535     <a href="http://www.doxygen.org/index.html">
 536     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
 537   </ul>
 538 </div>
 539 </body>
 540 </html>