arm_compute v18.05
[platform/upstream/armcl.git] / documentation / classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml
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118   <div class="summary">
119 <a href="#pub-methods">Public Member Functions</a>  </div>
120   <div class="headertitle">
121 <div class="title">INEWinogradLayerTransformWeightsKernel&lt; T &gt; Class Template Reference<span class="mlabels"><span class="mlabel">abstract</span></span></div>  </div>
122 </div><!--header-->
123 <div class="contents">
124
125 <p>Interface for the NEON kernel to perform Winograd weights transform.  
126  <a href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#details">More...</a></p>
127
128 <p><code>#include &lt;<a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml">NEWinogradConvolutionLayerKernel.h</a>&gt;</code></p>
129 <div class="dynheader">
130 Collaboration diagram for INEWinogradLayerTransformWeightsKernel&lt; T &gt;:</div>
131 <div class="dyncontent">
132 <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel__coll__graph.svg" width="211" height="202"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
133 </div>
134 <center><span class="legend">[<a target="top" href="graph_legend.xhtml">legend</a>]</span></center></div>
135 <table class="memberdecls">
136 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
137 Public Member Functions</h2></td></tr>
138 <tr class="memitem:ad670ceec7efb9583d3ab5ae0700bf028"><td class="memItemLeft" align="right" valign="top">virtual unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#ad670ceec7efb9583d3ab5ae0700bf028">get_weight_storage_size</a> (int n_output_channels, int n_input_channels) const =0</td></tr>
139 <tr class="memdesc:ad670ceec7efb9583d3ab5ae0700bf028"><td class="mdescLeft">&#160;</td><td class="mdescRight">Determine how much memory (in units of T) to allocate for the transformed weights.  <a href="#ad670ceec7efb9583d3ab5ae0700bf028">More...</a><br /></td></tr>
140 <tr class="separator:ad670ceec7efb9583d3ab5ae0700bf028"><td class="memSeparator" colspan="2">&#160;</td></tr>
141 <tr class="memitem:a0769fae1b815e5e48086ad25c1528dec"><td class="memItemLeft" align="right" valign="top">virtual int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a0769fae1b815e5e48086ad25c1528dec">get_matrix_stride</a> (const KernelShape &amp;kernel_shape) const =0</td></tr>
142 <tr class="memdesc:a0769fae1b815e5e48086ad25c1528dec"><td class="mdescLeft">&#160;</td><td class="mdescRight">Gets the stride between matrices in the kernel worspace.  <a href="#a0769fae1b815e5e48086ad25c1528dec">More...</a><br /></td></tr>
143 <tr class="separator:a0769fae1b815e5e48086ad25c1528dec"><td class="memSeparator" colspan="2">&#160;</td></tr>
144 <tr class="memitem:af722049ac6ad3c1c96df13005645d6c3"><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_n_e_winograd_layer_transform_weights_kernel.xhtml#af722049ac6ad3c1c96df13005645d6c3">configure</a> (const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *weights_hwio, T *const output, const int matrix_stride, const int n_output_channels, const int n_input_channels)=0</td></tr>
145 <tr class="memdesc:af722049ac6ad3c1c96df13005645d6c3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Configure the weights transform kernel.  <a href="#af722049ac6ad3c1c96df13005645d6c3">More...</a><br /></td></tr>
146 <tr class="separator:af722049ac6ad3c1c96df13005645d6c3"><td class="memSeparator" colspan="2">&#160;</td></tr>
147 <tr class="memitem:a668729f636910fd5f425cee965efee6d"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a668729f636910fd5f425cee965efee6d">~INEWinogradLayerTransformWeightsKernel</a> ()</td></tr>
148 <tr class="separator:a668729f636910fd5f425cee965efee6d"><td class="memSeparator" colspan="2">&#160;</td></tr>
149 <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>
150 <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>
151 <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>
152 <tr class="separator:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
153 <tr class="memitem:af814ff5e96f40f1cccf809b2b4ee19ef inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><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_c_p_p_kernel.xhtml#af814ff5e96f40f1cccf809b2b4ee19ef">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)=0</td></tr>
154 <tr class="memdesc:af814ff5e96f40f1cccf809b2b4ee19ef inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Execute the kernel on the passed window.  <a href="#af814ff5e96f40f1cccf809b2b4ee19ef">More...</a><br /></td></tr>
155 <tr class="separator:af814ff5e96f40f1cccf809b2b4ee19ef inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
156 <tr class="memitem:a1a30ad8f276a2310571c36239554831a inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memItemLeft" align="right" valign="top">virtual const char *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a1a30ad8f276a2310571c36239554831a">name</a> () const =0</td></tr>
157 <tr class="memdesc:a1a30ad8f276a2310571c36239554831a inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Name of the kernel.  <a href="#a1a30ad8f276a2310571c36239554831a">More...</a><br /></td></tr>
158 <tr class="separator:a1a30ad8f276a2310571c36239554831a inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
159 <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>
160 <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>
161 <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>
162 <tr class="separator:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
163 <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>
164 <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>
165 <tr class="separator:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
166 <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>
167 <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>
168 <tr class="separator:abfab8f0d4928e1081d9f65b77933e24a inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
169 <tr class="memitem:aa6daa9b04e2035bf007e5e5c3c4396a8 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual <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_i_kernel.xhtml#aa6daa9b04e2035bf007e5e5c3c4396a8">border_size</a> () const </td></tr>
170 <tr class="memdesc:aa6daa9b04e2035bf007e5e5c3c4396a8 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">The size of the border for that kernel.  <a href="#aa6daa9b04e2035bf007e5e5c3c4396a8">More...</a><br /></td></tr>
171 <tr class="separator:aa6daa9b04e2035bf007e5e5c3c4396a8 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
172 <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>
173 <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>
174 <tr class="separator:a3f5646133956f06348b310ccc3d36353 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
175 </table>
176 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
177 <div class="textblock"><h3>template&lt;typename T&gt;<br />
178 class arm_compute::INEWinogradLayerTransformWeightsKernel&lt; T &gt;</h3>
179
180 <p>Interface for the NEON kernel to perform Winograd weights transform. </p>
181
182 <p>Definition at line <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00341">341</a> of file <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml">NEWinogradConvolutionLayerKernel.h</a>.</p>
183 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
184 <a class="anchor" id="a668729f636910fd5f425cee965efee6d"></a>
185 <div class="memitem">
186 <div class="memproto">
187 <table class="mlabels">
188   <tr>
189   <td class="mlabels-left">
190       <table class="memname">
191         <tr>
192           <td class="memname">virtual ~<a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml">INEWinogradLayerTransformWeightsKernel</a> </td>
193           <td>(</td>
194           <td class="paramname"></td><td>)</td>
195           <td></td>
196         </tr>
197       </table>
198   </td>
199   <td class="mlabels-right">
200 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">virtual</span></span>  </td>
201   </tr>
202 </table>
203 </div><div class="memdoc">
204
205 <p>Definition at line <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00371">371</a> of file <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml">NEWinogradConvolutionLayerKernel.h</a>.</p>
206 <div class="fragment"><div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;    {</div><div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;    }</div></div><!-- fragment -->
207 </div>
208 </div>
209 <h2 class="groupheader">Member Function Documentation</h2>
210 <a class="anchor" id="af722049ac6ad3c1c96df13005645d6c3"></a>
211 <div class="memitem">
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214   <tr>
215   <td class="mlabels-left">
216       <table class="memname">
217         <tr>
218           <td class="memname">virtual void configure </td>
219           <td>(</td>
220           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
221           <td class="paramname"><em>weights_hwio</em>, </td>
222         </tr>
223         <tr>
224           <td class="paramkey"></td>
225           <td></td>
226           <td class="paramtype">T *const&#160;</td>
227           <td class="paramname"><em>output</em>, </td>
228         </tr>
229         <tr>
230           <td class="paramkey"></td>
231           <td></td>
232           <td class="paramtype">const int&#160;</td>
233           <td class="paramname"><em>matrix_stride</em>, </td>
234         </tr>
235         <tr>
236           <td class="paramkey"></td>
237           <td></td>
238           <td class="paramtype">const int&#160;</td>
239           <td class="paramname"><em>n_output_channels</em>, </td>
240         </tr>
241         <tr>
242           <td class="paramkey"></td>
243           <td></td>
244           <td class="paramtype">const int&#160;</td>
245           <td class="paramname"><em>n_input_channels</em>&#160;</td>
246         </tr>
247         <tr>
248           <td></td>
249           <td>)</td>
250           <td></td><td></td>
251         </tr>
252       </table>
253   </td>
254   <td class="mlabels-right">
255 <span class="mlabels"><span class="mlabel">pure virtual</span></span>  </td>
256   </tr>
257 </table>
258 </div><div class="memdoc">
259
260 <p>Configure the weights transform kernel. </p>
261 <dl class="params"><dt>Parameters</dt><dd>
262   <table class="params">
263     <tr><td class="paramdir">[in]</td><td class="paramname">weights_hwio</td><td>Pointer to the weights tensor </td></tr>
264     <tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>Pointer to working space for the output tensor in the Winograd domain. </td></tr>
265     <tr><td class="paramdir">[in]</td><td class="paramname">matrix_stride</td><td>Stride across matrices in the output workspace. </td></tr>
266     <tr><td class="paramdir">[in]</td><td class="paramname">n_output_channels</td><td>Number of filters. </td></tr>
267     <tr><td class="paramdir">[in]</td><td class="paramname">n_input_channels</td><td>Number of channels in each filter. </td></tr>
268   </table>
269   </dd>
270 </dl>
271
272 <p>Implemented in <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a6b072ab95153097e216d4b5b933c0d8c">NEWinogradLayerTransformWeightsKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>.</p>
273
274 </div>
275 </div>
276 <a class="anchor" id="a0769fae1b815e5e48086ad25c1528dec"></a>
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280   <tr>
281   <td class="mlabels-left">
282       <table class="memname">
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284           <td class="memname">virtual int get_matrix_stride </td>
285           <td>(</td>
286           <td class="paramtype">const KernelShape &amp;&#160;</td>
287           <td class="paramname"><em>kernel_shape</em></td><td>)</td>
288           <td> const</td>
289         </tr>
290       </table>
291   </td>
292   <td class="mlabels-right">
293 <span class="mlabels"><span class="mlabel">pure virtual</span></span>  </td>
294   </tr>
295 </table>
296 </div><div class="memdoc">
297
298 <p>Gets the stride between matrices in the kernel worspace. </p>
299 <dl class="params"><dt>Parameters</dt><dd>
300   <table class="params">
301     <tr><td class="paramdir">[in]</td><td class="paramname">kernel_shape</td><td>The shape of the weights tensor.</td></tr>
302   </table>
303   </dd>
304 </dl>
305 <dl class="section return"><dt>Returns</dt><dd>Stride expressed in bytes. </dd></dl>
306
307 <p>Implemented in <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a07a976f4d6b4b62e2ffcea8b0dab6d9f">NEWinogradLayerTransformWeightsKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>.</p>
308
309 </div>
310 </div>
311 <a class="anchor" id="ad670ceec7efb9583d3ab5ae0700bf028"></a>
312 <div class="memitem">
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315   <tr>
316   <td class="mlabels-left">
317       <table class="memname">
318         <tr>
319           <td class="memname">virtual unsigned int get_weight_storage_size </td>
320           <td>(</td>
321           <td class="paramtype">int&#160;</td>
322           <td class="paramname"><em>n_output_channels</em>, </td>
323         </tr>
324         <tr>
325           <td class="paramkey"></td>
326           <td></td>
327           <td class="paramtype">int&#160;</td>
328           <td class="paramname"><em>n_input_channels</em>&#160;</td>
329         </tr>
330         <tr>
331           <td></td>
332           <td>)</td>
333           <td></td><td> const</td>
334         </tr>
335       </table>
336   </td>
337   <td class="mlabels-right">
338 <span class="mlabels"><span class="mlabel">pure virtual</span></span>  </td>
339   </tr>
340 </table>
341 </div><div class="memdoc">
342
343 <p>Determine how much memory (in units of T) to allocate for the transformed weights. </p>
344 <dl class="params"><dt>Parameters</dt><dd>
345   <table class="params">
346     <tr><td class="paramdir">[in]</td><td class="paramname">n_output_channels</td><td>Number of output feature maps. </td></tr>
347     <tr><td class="paramdir">[in]</td><td class="paramname">n_input_channels</td><td>Number of input feature maps.</td></tr>
348   </table>
349   </dd>
350 </dl>
351 <dl class="section return"><dt>Returns</dt><dd>Storage size (in units of T) required. </dd></dl>
352
353 <p>Implemented in <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#abfe717774e572988b63fdd5a69364eb9">NEWinogradLayerTransformWeightsKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>.</p>
354
355 </div>
356 </div>
357 <hr/>The documentation for this class was generated from the following file:<ul>
358 <li>arm_compute/core/NEON/kernels/<a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml">NEWinogradConvolutionLayerKernel.h</a></li>
359 </ul>
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