documentation/classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml

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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">NEDepthwiseConvolutionLayer3x3Kernel Class Reference</div>  </div>
 123 </div><!--header-->
 124 <div class="contents">
 125
 126 <p>Interface for the kernel to run a 3x3 depthwise convolution on a tensor.
 127  <a href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#details">More...</a></p>
 128
 129 <p><code>#include &lt;<a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8h_source.xhtml">NEDepthwiseConvolutionLayer3x3Kernel.h</a>&gt;</code></p>
 130 <div class="dynheader">
 131 Collaboration diagram for NEDepthwiseConvolutionLayer3x3Kernel:</div>
 132 <div class="dyncontent">
 133 <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel__coll__graph.svg" width="250" height="202"><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:ab5656bb5b6334bdbe6e606c715872828"><td class="memItemLeft" align="right" valign="top">const char *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">name</a> () const override</td></tr>
 140 <tr class="memdesc:ab5656bb5b6334bdbe6e606c715872828"><td class="mdescLeft">&#160;</td><td class="mdescRight">Name of the kernel.  <a href="#ab5656bb5b6334bdbe6e606c715872828">More...</a><br /></td></tr>
 141 <tr class="separator:ab5656bb5b6334bdbe6e606c715872828"><td class="memSeparator" colspan="2">&#160;</td></tr>
 142 <tr class="memitem:abf0a671d5f84d64b22c1baacbc30d42c"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#abf0a671d5f84d64b22c1baacbc30d42c">NEDepthwiseConvolutionLayer3x3Kernel</a> ()</td></tr>
 143 <tr class="memdesc:abf0a671d5f84d64b22c1baacbc30d42c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default constructor.  <a href="#abf0a671d5f84d64b22c1baacbc30d42c">More...</a><br /></td></tr>
 144 <tr class="separator:abf0a671d5f84d64b22c1baacbc30d42c"><td class="memSeparator" colspan="2">&#160;</td></tr>
 145 <tr class="memitem:a427868ca0b38566e7bcb81c04dcdb49e"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a427868ca0b38566e7bcb81c04dcdb49e">NEDepthwiseConvolutionLayer3x3Kernel</a> (const <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> &amp;)=delete</td></tr>
 146 <tr class="memdesc:a427868ca0b38566e7bcb81c04dcdb49e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers)  <a href="#a427868ca0b38566e7bcb81c04dcdb49e">More...</a><br /></td></tr>
 147 <tr class="separator:a427868ca0b38566e7bcb81c04dcdb49e"><td class="memSeparator" colspan="2">&#160;</td></tr>
 148 <tr class="memitem:a4f080336e12b8a0a378f008780eeff5a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a4f080336e12b8a0a378f008780eeff5a">operator=</a> (const <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> &amp;)=delete</td></tr>
 149 <tr class="memdesc:a4f080336e12b8a0a378f008780eeff5a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers)  <a href="#a4f080336e12b8a0a378f008780eeff5a">More...</a><br /></td></tr>
 150 <tr class="separator:a4f080336e12b8a0a378f008780eeff5a"><td class="memSeparator" colspan="2">&#160;</td></tr>
 151 <tr class="memitem:ad76312bbaf6cab74e63c8de4f5ced05d"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#ad76312bbaf6cab74e63c8de4f5ced05d">NEDepthwiseConvolutionLayer3x3Kernel</a> (<a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> &amp;&amp;)=default</td></tr>
 152 <tr class="memdesc:ad76312bbaf6cab74e63c8de4f5ced05d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default Move Constructor.  <a href="#ad76312bbaf6cab74e63c8de4f5ced05d">More...</a><br /></td></tr>
 153 <tr class="separator:ad76312bbaf6cab74e63c8de4f5ced05d"><td class="memSeparator" colspan="2">&#160;</td></tr>
 154 <tr class="memitem:aa33f475c59df8d7ea699d6031553d232"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#aa33f475c59df8d7ea699d6031553d232">operator=</a> (<a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> &amp;&amp;)=default</td></tr>
 155 <tr class="memdesc:aa33f475c59df8d7ea699d6031553d232"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default move assignment operator.  <a href="#aa33f475c59df8d7ea699d6031553d232">More...</a><br /></td></tr>
 156 <tr class="separator:aa33f475c59df8d7ea699d6031553d232"><td class="memSeparator" colspan="2">&#160;</td></tr>
 157 <tr class="memitem:a4b9e97a619f7222a14a9c61009b57920"><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_depthwise_convolution_layer3x3_kernel.xhtml#a4b9e97a619f7222a14a9c61009b57920">configure</a> (const <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, <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;conv_info, unsigned int depth_multiplier=1, <a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> data_layout=<a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</td></tr>
 158 <tr class="memdesc:a4b9e97a619f7222a14a9c61009b57920"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the function's source, destination, conv and border_size.  <a href="#a4b9e97a619f7222a14a9c61009b57920">More...</a><br /></td></tr>
 159 <tr class="separator:a4b9e97a619f7222a14a9c61009b57920"><td class="memSeparator" colspan="2">&#160;</td></tr>
 160 <tr class="memitem:af77d9d6fcc740068192d3fca9421311f"><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_depthwise_convolution_layer3x3_kernel.xhtml#af77d9d6fcc740068192d3fca9421311f">generate_convolver</a> ()</td></tr>
 161 <tr class="memdesc:af77d9d6fcc740068192d3fca9421311f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Generates the convolver object.  <a href="#af77d9d6fcc740068192d3fca9421311f">More...</a><br /></td></tr>
 162 <tr class="separator:af77d9d6fcc740068192d3fca9421311f"><td class="memSeparator" colspan="2">&#160;</td></tr>
 163 <tr class="memitem:a112b35dd205c62ea6ed1447ef226da82"><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_depthwise_convolution_layer3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a> (const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, const <a class="el" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &amp;info) override</td></tr>
 164 <tr class="memdesc:a112b35dd205c62ea6ed1447ef226da82"><td class="mdescLeft">&#160;</td><td class="mdescRight">Execute the kernel on the passed window.  <a href="#a112b35dd205c62ea6ed1447ef226da82">More...</a><br /></td></tr>
 165 <tr class="separator:a112b35dd205c62ea6ed1447ef226da82"><td class="memSeparator" colspan="2">&#160;</td></tr>
 166 <tr class="memitem:a423f9a45a52983b4de5e2b347f4369c7"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a> () const override</td></tr>
 167 <tr class="memdesc:a423f9a45a52983b4de5e2b347f4369c7"><td class="mdescLeft">&#160;</td><td class="mdescRight">The size of the border for that kernel.  <a href="#a423f9a45a52983b4de5e2b347f4369c7">More...</a><br /></td></tr>
 168 <tr class="separator:a423f9a45a52983b4de5e2b347f4369c7"><td class="memSeparator" colspan="2">&#160;</td></tr>
 169 <tr class="inherit_header pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_c_p_p_kernel')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">ICPPKernel</a></td></tr>
 170 <tr class="memitem:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a033d17a97e07cea7fe83eefcf23540f6">~ICPPKernel</a> ()=default</td></tr>
 171 <tr class="memdesc:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default destructor.  <a href="#a033d17a97e07cea7fe83eefcf23540f6">More...</a><br /></td></tr>
 172 <tr class="separator:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 173 <tr class="inherit_header pub_methods_classarm__compute_1_1_i_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_kernel')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml">IKernel</a></td></tr>
 174 <tr class="memitem:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">IKernel</a> ()</td></tr>
 175 <tr class="memdesc:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="#a7250cb8cbaa4104a93a2d77155085507">More...</a><br /></td></tr>
 176 <tr class="separator:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 177 <tr class="memitem:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">~IKernel</a> ()=default</td></tr>
 178 <tr class="memdesc:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Destructor.  <a href="#a341b60d15a5e12a5b8f3825194dd3b12">More...</a><br /></td></tr>
 179 <tr class="separator:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 180 <tr class="memitem:abfab8f0d4928e1081d9f65b77933e24a inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#abfab8f0d4928e1081d9f65b77933e24a">is_parallelisable</a> () const </td></tr>
 181 <tr class="memdesc:abfab8f0d4928e1081d9f65b77933e24a inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Indicates whether or not the kernel is parallelisable.  <a href="#abfab8f0d4928e1081d9f65b77933e24a">More...</a><br /></td></tr>
 182 <tr class="separator:abfab8f0d4928e1081d9f65b77933e24a inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 183 <tr class="memitem:a3f5646133956f06348b310ccc3d36353 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a> () const </td></tr>
 184 <tr class="memdesc:a3f5646133956f06348b310ccc3d36353 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">The maximum window the kernel can be executed on.  <a href="#a3f5646133956f06348b310ccc3d36353">More...</a><br /></td></tr>
 185 <tr class="separator:a3f5646133956f06348b310ccc3d36353 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 186 </table><table class="memberdecls">
 187 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a>
 188 Static Public Member Functions</h2></td></tr>
 189 <tr class="memitem:a1f5245ff1a8acbc154295f17e4571465"><td class="memItemLeft" align="right" valign="top">static bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a1f5245ff1a8acbc154295f17e4571465">is_optimized_execution_possible</a> (<a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> input_shape, <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> conv_info, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dt, unsigned int depth_multiplier=1, <a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> data_layout=<a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</td></tr>
 190 <tr class="memdesc:a1f5245ff1a8acbc154295f17e4571465"><td class="mdescLeft">&#160;</td><td class="mdescRight">Static method that checks if optimized execution is supported for the given parameters.  <a href="#a1f5245ff1a8acbc154295f17e4571465">More...</a><br /></td></tr>
 191 <tr class="separator:a1f5245ff1a8acbc154295f17e4571465"><td class="memSeparator" colspan="2">&#160;</td></tr>
 192 </table>
 193 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 194 <div class="textblock"><p>Interface for the kernel to run a 3x3 depthwise convolution on a tensor. </p>
 195
 196 <p>Definition at line <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8h_source.xhtml#l00037">37</a> of file <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8h_source.xhtml">NEDepthwiseConvolutionLayer3x3Kernel.h</a>.</p>
 197 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
 198 <a class="anchor" id="abf0a671d5f84d64b22c1baacbc30d42c"></a>
 199 <div class="memitem">
 200 <div class="memproto">
 201       <table class="memname">
 202         <tr>
 203           <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> </td>
 204           <td>(</td>
 205           <td class="paramname"></td><td>)</td>
 206           <td></td>
 207         </tr>
 208       </table>
 209 </div><div class="memdoc">
 210
 211 <p>Default constructor. </p>
 212
 213 <p>Referenced by <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8h_source.xhtml#l00040">NEDepthwiseConvolutionLayer3x3Kernel::name()</a>.</p>
 214
 215 </div>
 216 </div>
 217 <a class="anchor" id="a427868ca0b38566e7bcb81c04dcdb49e"></a>
 218 <div class="memitem">
 219 <div class="memproto">
 220 <table class="mlabels">
 221   <tr>
 222   <td class="mlabels-left">
 223       <table class="memname">
 224         <tr>
 225           <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> </td>
 226           <td>(</td>
 227           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> &amp;&#160;</td>
 228           <td class="paramname"></td><td>)</td>
 229           <td></td>
 230         </tr>
 231       </table>
 232   </td>
 233   <td class="mlabels-right">
 234 <span class="mlabels"><span class="mlabel">delete</span></span>  </td>
 235   </tr>
 236 </table>
 237 </div><div class="memdoc">
 238
 239 <p>Prevent instances of this class from being copied (As this class contains pointers) </p>
 240
 241 </div>
 242 </div>
 243 <a class="anchor" id="ad76312bbaf6cab74e63c8de4f5ced05d"></a>
 244 <div class="memitem">
 245 <div class="memproto">
 246 <table class="mlabels">
 247   <tr>
 248   <td class="mlabels-left">
 249       <table class="memname">
 250         <tr>
 251           <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> </td>
 252           <td>(</td>
 253           <td class="paramtype"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> &amp;&amp;&#160;</td>
 254           <td class="paramname"></td><td>)</td>
 255           <td></td>
 256         </tr>
 257       </table>
 258   </td>
 259   <td class="mlabels-right">
 260 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
 261   </tr>
 262 </table>
 263 </div><div class="memdoc">
 264
 265 <p>Default Move Constructor. </p>
 266
 267 </div>
 268 </div>
 269 <h2 class="groupheader">Member Function Documentation</h2>
 270 <a class="anchor" id="a423f9a45a52983b4de5e2b347f4369c7"></a>
 271 <div class="memitem">
 272 <div class="memproto">
 273 <table class="mlabels">
 274   <tr>
 275   <td class="mlabels-left">
 276       <table class="memname">
 277         <tr>
 278           <td class="memname"><a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> border_size </td>
 279           <td>(</td>
 280           <td class="paramname"></td><td>)</td>
 281           <td> const</td>
 282         </tr>
 283       </table>
 284   </td>
 285   <td class="mlabels-right">
 286 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 287   </tr>
 288 </table>
 289 </div><div class="memdoc">
 290
 291 <p>The size of the border for that kernel. </p>
 292 <dl class="section return"><dt>Returns</dt><dd>The width in number of elements of the border. </dd></dl>
 293
 294 <p>Reimplemented from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#aa6daa9b04e2035bf007e5e5c3c4396a8">IKernel</a>.</p>
 295
 296 <p>Referenced by <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8h_source.xhtml#l00040">NEDepthwiseConvolutionLayer3x3Kernel::name()</a>.</p>
 297
 298 </div>
 299 </div>
 300 <a class="anchor" id="a4b9e97a619f7222a14a9c61009b57920"></a>
 301 <div class="memitem">
 302 <div class="memproto">
 303       <table class="memname">
 304         <tr>
 305           <td class="memname">void configure </td>
 306           <td>(</td>
 307           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
 308           <td class="paramname"><em>input</em>, </td>
 309         </tr>
 310         <tr>
 311           <td class="paramkey"></td>
 312           <td></td>
 313           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
 314           <td class="paramname"><em>weights</em>, </td>
 315         </tr>
 316         <tr>
 317           <td class="paramkey"></td>
 318           <td></td>
 319           <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
 320           <td class="paramname"><em>output</em>, </td>
 321         </tr>
 322         <tr>
 323           <td class="paramkey"></td>
 324           <td></td>
 325           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;&#160;</td>
 326           <td class="paramname"><em>conv_info</em>, </td>
 327         </tr>
 328         <tr>
 329           <td class="paramkey"></td>
 330           <td></td>
 331           <td class="paramtype">unsigned int&#160;</td>
 332           <td class="paramname"><em>depth_multiplier</em> = <code>1</code>, </td>
 333         </tr>
 334         <tr>
 335           <td class="paramkey"></td>
 336           <td></td>
 337           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&#160;</td>
 338           <td class="paramname"><em>data_layout</em> = <code><a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a></code>&#160;</td>
 339         </tr>
 340         <tr>
 341           <td></td>
 342           <td>)</td>
 343           <td></td><td></td>
 344         </tr>
 345       </table>
 346 </div><div class="memdoc">
 347
 348 <p>Initialize the function's source, destination, conv and border_size. </p>
 349 <dl class="params"><dt>Parameters</dt><dd>
 350   <table class="params">
 351     <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Source tensor. DataType supported: QASYMM8, F32. </td></tr>
 352     <tr><td class="paramdir">[in]</td><td class="paramname">weights</td><td>Weights tensor. This is a 3D tensor with dimensions [3, 3, IFM]. Data type supported: Same as <code>input</code>. </td></tr>
 353     <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Destination tensor. Data type supported: Same as <code>input</code>. </td></tr>
 354     <tr><td class="paramdir">[in]</td><td class="paramname">conv_info</td><td>Padding and stride information to use for the convolution. </td></tr>
 355     <tr><td class="paramdir">[in]</td><td class="paramname">depth_multiplier</td><td>(Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. </td></tr>
 356     <tr><td class="paramdir">[in]</td><td class="paramname">data_layout</td><td>(Optional) Data layout of the input and weights tensor </td></tr>
 357   </table>
 358   </dd>
 359 </dl>
 360
 361 <p>Referenced by <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8h_source.xhtml#l00040">NEDepthwiseConvolutionLayer3x3Kernel::name()</a>.</p>
 362
 363 </div>
 364 </div>
 365 <a class="anchor" id="af77d9d6fcc740068192d3fca9421311f"></a>
 366 <div class="memitem">
 367 <div class="memproto">
 368       <table class="memname">
 369         <tr>
 370           <td class="memname">void generate_convolver </td>
 371           <td>(</td>
 372           <td class="paramname"></td><td>)</td>
 373           <td></td>
 374         </tr>
 375       </table>
 376 </div><div class="memdoc">
 377
 378 <p>Generates the convolver object. </p>
 379
 380 <p>Referenced by <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8h_source.xhtml#l00040">NEDepthwiseConvolutionLayer3x3Kernel::name()</a>.</p>
 381
 382 </div>
 383 </div>
 384 <a class="anchor" id="a1f5245ff1a8acbc154295f17e4571465"></a>
 385 <div class="memitem">
 386 <div class="memproto">
 387 <table class="mlabels">
 388   <tr>
 389   <td class="mlabels-left">
 390       <table class="memname">
 391         <tr>
 392           <td class="memname">static bool is_optimized_execution_possible </td>
 393           <td>(</td>
 394           <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>&#160;</td>
 395           <td class="paramname"><em>input_shape</em>, </td>
 396         </tr>
 397         <tr>
 398           <td class="paramkey"></td>
 399           <td></td>
 400           <td class="paramtype"><a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>&#160;</td>
 401           <td class="paramname"><em>conv_info</em>, </td>
 402         </tr>
 403         <tr>
 404           <td class="paramkey"></td>
 405           <td></td>
 406           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&#160;</td>
 407           <td class="paramname"><em>dt</em>, </td>
 408         </tr>
 409         <tr>
 410           <td class="paramkey"></td>
 411           <td></td>
 412           <td class="paramtype">unsigned int&#160;</td>
 413           <td class="paramname"><em>depth_multiplier</em> = <code>1</code>, </td>
 414         </tr>
 415         <tr>
 416           <td class="paramkey"></td>
 417           <td></td>
 418           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&#160;</td>
 419           <td class="paramname"><em>data_layout</em> = <code><a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a></code>&#160;</td>
 420         </tr>
 421         <tr>
 422           <td></td>
 423           <td>)</td>
 424           <td></td><td></td>
 425         </tr>
 426       </table>
 427   </td>
 428   <td class="mlabels-right">
 429 <span class="mlabels"><span class="mlabel">static</span></span>  </td>
 430   </tr>
 431 </table>
 432 </div><div class="memdoc">
 433
 434 <p>Static method that checks if optimized execution is supported for the given parameters. </p>
 435 <dl class="params"><dt>Parameters</dt><dd>
 436   <table class="params">
 437     <tr><td class="paramdir">[in]</td><td class="paramname">input_shape</td><td>Input shape </td></tr>
 438     <tr><td class="paramdir">[in]</td><td class="paramname">conv_info</td><td>Padding and stride information to use for the convolution. </td></tr>
 439     <tr><td class="paramdir">[in]</td><td class="paramname">dt</td><td>Data type of the input and weights </td></tr>
 440     <tr><td class="paramdir">[in]</td><td class="paramname">data_layout</td><td>(Optional) Data layout of the input and weights tensor </td></tr>
 441     <tr><td class="paramdir">[in]</td><td class="paramname">depth_multiplier</td><td>(Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1.</td></tr>
 442   </table>
 443   </dd>
 444 </dl>
 445 <dl class="section return"><dt>Returns</dt><dd>True if the optimized kernels can be executed else false </dd></dl>
 446
 447 <p>Referenced by <a class="el" href="validation_2_n_e_o_n_2_depthwise_convolution_layer_8cpp_source.xhtml#l00057">arm_compute::test::validation::DATA_TEST_CASE()</a>, and <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8h_source.xhtml#l00040">NEDepthwiseConvolutionLayer3x3Kernel::name()</a>.</p>
 448
 449 </div>
 450 </div>
 451 <a class="anchor" id="ab5656bb5b6334bdbe6e606c715872828"></a>
 452 <div class="memitem">
 453 <div class="memproto">
 454 <table class="mlabels">
 455   <tr>
 456   <td class="mlabels-left">
 457       <table class="memname">
 458         <tr>
 459           <td class="memname">const char* name </td>
 460           <td>(</td>
 461           <td class="paramname"></td><td>)</td>
 462           <td> const</td>
 463         </tr>
 464       </table>
 465   </td>
 466   <td class="mlabels-right">
 467 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 468   </tr>
 469 </table>
 470 </div><div class="memdoc">
 471
 472 <p>Name of the kernel. </p>
 473 <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_kernel.xhtml" title="Kernel class. ">Kernel</a> name </dd></dl>
 474
 475 <p>Implements <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a1a30ad8f276a2310571c36239554831a">ICPPKernel</a>.</p>
 476
 477 <p>Definition at line <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8h_source.xhtml#l00040">40</a> of file <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8h_source.xhtml">NEDepthwiseConvolutionLayer3x3Kernel.h</a>.</p>
 478
 479 <p>References <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">NEDepthwiseConvolutionLayer3x3Kernel::border_size()</a>, <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a4b9e97a619f7222a14a9c61009b57920">NEDepthwiseConvolutionLayer3x3Kernel::configure()</a>, <a class="el" href="_c_l_2_winograd_8cpp_source.xhtml#l00360">arm_compute::test::validation::conv_info</a>, <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#af77d9d6fcc740068192d3fca9421311f">NEDepthwiseConvolutionLayer3x3Kernel::generate_convolver()</a>, <a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">arm_compute::test::validation::info()</a>, <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a1f5245ff1a8acbc154295f17e4571465">NEDepthwiseConvolutionLayer3x3Kernel::is_optimized_execution_possible()</a>, <a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">arm_compute::NCHW</a>, <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#abf0a671d5f84d64b22c1baacbc30d42c">NEDepthwiseConvolutionLayer3x3Kernel::NEDepthwiseConvolutionLayer3x3Kernel()</a>, <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a4f080336e12b8a0a378f008780eeff5a">NEDepthwiseConvolutionLayer3x3Kernel::operator=()</a>, <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDepthwiseConvolutionLayer3x3Kernel::run()</a>, and <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">IKernel::window()</a>.</p>
 480 <div class="fragment"><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    {</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;        <span class="keywordflow">return</span> <span class="stringliteral">&quot;NEDepthwiseConvolutionLayer3x3Kernel&quot;</span>;</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;    }</div></div><!-- fragment -->
 481 </div>
 482 </div>
 483 <a class="anchor" id="a4f080336e12b8a0a378f008780eeff5a"></a>
 484 <div class="memitem">
 485 <div class="memproto">
 486 <table class="mlabels">
 487   <tr>
 488   <td class="mlabels-left">
 489       <table class="memname">
 490         <tr>
 491           <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a>&amp; operator= </td>
 492           <td>(</td>
 493           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> &amp;&#160;</td>
 494           <td class="paramname"></td><td>)</td>
 495           <td></td>
 496         </tr>
 497       </table>
 498   </td>
 499   <td class="mlabels-right">
 500 <span class="mlabels"><span class="mlabel">delete</span></span>  </td>
 501   </tr>
 502 </table>
 503 </div><div class="memdoc">
 504
 505 <p>Prevent instances of this class from being copied (As this class contains pointers) </p>
 506
 507 <p>Referenced by <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8h_source.xhtml#l00040">NEDepthwiseConvolutionLayer3x3Kernel::name()</a>.</p>
 508
 509 </div>
 510 </div>
 511 <a class="anchor" id="aa33f475c59df8d7ea699d6031553d232"></a>
 512 <div class="memitem">
 513 <div class="memproto">
 514 <table class="mlabels">
 515   <tr>
 516   <td class="mlabels-left">
 517       <table class="memname">
 518         <tr>
 519           <td class="memname"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a>&amp; operator= </td>
 520           <td>(</td>
 521           <td class="paramtype"><a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a> &amp;&amp;&#160;</td>
 522           <td class="paramname"></td><td>)</td>
 523           <td></td>
 524         </tr>
 525       </table>
 526   </td>
 527   <td class="mlabels-right">
 528 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
 529   </tr>
 530 </table>
 531 </div><div class="memdoc">
 532
 533 <p>Default move assignment operator. </p>
 534
 535 </div>
 536 </div>
 537 <a class="anchor" id="a112b35dd205c62ea6ed1447ef226da82"></a>
 538 <div class="memitem">
 539 <div class="memproto">
 540 <table class="mlabels">
 541   <tr>
 542   <td class="mlabels-left">
 543       <table class="memname">
 544         <tr>
 545           <td class="memname">void run </td>
 546           <td>(</td>
 547           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td>
 548           <td class="paramname"><em>window</em>, </td>
 549         </tr>
 550         <tr>
 551           <td class="paramkey"></td>
 552           <td></td>
 553           <td class="paramtype">const <a class="el" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &amp;&#160;</td>
 554           <td class="paramname"><em>info</em>&#160;</td>
 555         </tr>
 556         <tr>
 557           <td></td>
 558           <td>)</td>
 559           <td></td><td></td>
 560         </tr>
 561       </table>
 562   </td>
 563   <td class="mlabels-right">
 564 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 565   </tr>
 566 </table>
 567 </div><div class="memdoc">
 568
 569 <p>Execute the kernel on the passed window. </p>
 570 <dl class="section warning"><dt>Warning</dt><dd>If <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#abfab8f0d4928e1081d9f65b77933e24a" title="Indicates whether or not the kernel is parallelisable. ">is_parallelisable()</a> returns false then the passed window must be equal to <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353" title="The maximum window the kernel can be executed on. ">window()</a></dd></dl>
 571 <dl class="section note"><dt>Note</dt><dd>The window has to be a region within the window returned by the <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353" title="The maximum window the kernel can be executed on. ">window()</a> method</dd>
 572 <dd>
 573 The width of the window has to be a multiple of num_elems_processed_per_iteration().</dd></dl>
 574 <dl class="params"><dt>Parameters</dt><dd>
 575   <table class="params">
 576     <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td>Region on which to execute the kernel. (Must be a region of the window returned by <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353" title="The maximum window the kernel can be executed on. ">window()</a>) </td></tr>
 577     <tr><td class="paramdir">[in]</td><td class="paramname">info</td><td>Info about executing thread and CPU. </td></tr>
 578   </table>
 579   </dd>
 580 </dl>
 581
 582 <p>Implements <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#af814ff5e96f40f1cccf809b2b4ee19ef">ICPPKernel</a>.</p>
 583
 584 <p>Referenced by <a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8h_source.xhtml#l00040">NEDepthwiseConvolutionLayer3x3Kernel::name()</a>.</p>
 585
 586 </div>
 587 </div>
 588 <hr/>The documentation for this class was generated from the following file:<ul>
 589 <li>arm_compute/core/NEON/kernels/<a class="el" href="_n_e_depthwise_convolution_layer3x3_kernel_8h_source.xhtml">NEDepthwiseConvolutionLayer3x3Kernel.h</a></li>
 590 </ul>
 591 </div><!-- contents -->
 592 </div><!-- doc-content -->
 593 <!-- start footer part -->
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 595   <ul>
 596     <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_depthwise_convolution_layer3x3_kernel.xhtml">NEDepthwiseConvolutionLayer3x3Kernel</a></li>
 597     <li class="footer">Generated on Wed May 23 2018 11:36:42 for Compute Library by
 598     <a href="http://www.doxygen.org/index.html">
 599     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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