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gerrit-public.fairphone.software / platform / external / ComputeLibrary / dbdab85d6e0f96d3361a9e30310367d89953466c / . / documentation / convolution__layer_8cl.xhtml
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Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]9<title>Compute Library: src/core/CL/cl_kernels/convolution_layer.cl File Reference</title>
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Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]42 <div id="projectname">Compute Library
43 &#160;<span id="projectnumber">v17.06</span>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]44 </div>
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119<div class="title">convolution_layer.cl File Reference</div> </div>
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121<div class="contents">
122<div class="textblock"><code>#include &quot;<a class="el" href="helpers_8h_source.xhtml">helpers.h</a>&quot;</code><br />
123</div>
124<p><a href="convolution__layer_8cl_source.xhtml">Go to the source code of this file.</a></p>
125<table class="memberdecls">
126<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
127Functions</h2></td></tr>
Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]128<tr class="memitem:ab6358b28d1e7bc946950075d94412013"><td class="memItemLeft" align="right" valign="top">__kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="convolution__layer_8cl.xhtml#ab6358b28d1e7bc946950075d94412013">reshape_to_columns</a> (__global uchar *src_ptr, uint src_stride_x, uint src_step_x, uint src_stride_y, uint src_step_y, uint src_stride_z, uint src_step_z, uint src_offset_first_element_in_bytes, __global uchar *dst_ptr, uint dst_stride_x, uint dst_step_x, uint dst_stride_y, uint dst_step_y, uint dst_offset_first_element_in_bytes, __global uchar *bias_ptr, uint bias_stride_x, uint bias_step_x, uint bias_offset_first_element_in_bytes, uint width, uint height, uint depth, uint total_filters)</td></tr>
129<tr class="memdesc:ab6358b28d1e7bc946950075d94412013"><td class="mdescLeft">&#160;</td><td class="mdescRight">This kernel reshapes the tensor's low three dimensions to single column. <a href="#ab6358b28d1e7bc946950075d94412013">More...</a><br /></td></tr>
130<tr class="separator:ab6358b28d1e7bc946950075d94412013"><td class="memSeparator" colspan="2">&#160;</td></tr>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]131<tr class="memitem:afaddfccc926506181141b2dc86cb73f1"><td class="memItemLeft" align="right" valign="top">__kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="convolution__layer_8cl.xhtml#afaddfccc926506181141b2dc86cb73f1">im2col_generic</a> (__global uchar *src_ptr, uint src_stride_x, uint src_step_x, uint src_stride_y, uint src_step_y, uint src_stride_z, uint src_step_z, uint src_offset_first_element_in_bytes, __global uchar *dst_ptr, uint dst_stride_x, uint dst_step_x, uint dst_stride_y, uint dst_step_y, uint dst_offset_first_element_in_bytes, int kernel_size, int kernel_depth, int width, int2 input_dims, int2 strides, int2 paddings)</td></tr>
132<tr class="memdesc:afaddfccc926506181141b2dc86cb73f1"><td class="mdescLeft">&#160;</td><td class="mdescRight">This kernel performs a reshaping of the input tensor to a tensor used to perform convolution using GEMM. <a href="#afaddfccc926506181141b2dc86cb73f1">More...</a><br /></td></tr>
133<tr class="separator:afaddfccc926506181141b2dc86cb73f1"><td class="memSeparator" colspan="2">&#160;</td></tr>
134<tr class="memitem:af11bad06b2f7c26cc6ee2f93add5dcbf"><td class="memItemLeft" align="right" valign="top">__kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="convolution__layer_8cl.xhtml#af11bad06b2f7c26cc6ee2f93add5dcbf">col2im</a> (__global uchar *src_ptr, uint src_stride_x, uint src_step_x, uint src_stride_y, uint src_step_y, uint src_offset_first_element_in_bytes, __global uchar *dst_ptr, uint dst_stride_x, uint dst_step_x, uint dst_stride_y, uint dst_step_y, uint dst_stride_z, uint dst_step_z, uint dst_offset_first_element_in_bytes, uint width)</td></tr>
135<tr class="memdesc:af11bad06b2f7c26cc6ee2f93add5dcbf"><td class="mdescLeft">&#160;</td><td class="mdescRight">This kernel performs a reshaping of the output of the convolution layer. <a href="#af11bad06b2f7c26cc6ee2f93add5dcbf">More...</a><br /></td></tr>
136<tr class="separator:af11bad06b2f7c26cc6ee2f93add5dcbf"><td class="memSeparator" colspan="2">&#160;</td></tr>
137<tr class="memitem:a6f31f2c8d606e1b57d9bdfacd416024c"><td class="memItemLeft" align="right" valign="top">__kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="convolution__layer_8cl.xhtml#a6f31f2c8d606e1b57d9bdfacd416024c">im2col_reduced</a> (__global uchar *src_ptr, uint src_stride_x, uint src_step_x, uint src_stride_y, uint src_step_y, uint src_stride_z, uint src_step_z, uint src_offset_first_element_in_bytes, __global uchar *dst_ptr, uint dst_stride_x, uint dst_step_x, uint dst_offset_first_element_in_bytes, uint width, uint height)</td></tr>
138<tr class="memdesc:a6f31f2c8d606e1b57d9bdfacd416024c"><td class="mdescLeft">&#160;</td><td class="mdescRight">This kernel reshapes the tensor's low three dimensions to single row for GEMM operation. <a href="#a6f31f2c8d606e1b57d9bdfacd416024c">More...</a><br /></td></tr>
139<tr class="separator:a6f31f2c8d606e1b57d9bdfacd416024c"><td class="memSeparator" colspan="2">&#160;</td></tr>
140</table>
141<h2 class="groupheader">Function Documentation</h2>
142<a class="anchor" id="af11bad06b2f7c26cc6ee2f93add5dcbf"></a>
143<div class="memitem">
144<div class="memproto">
145 <table class="memname">
146 <tr>
147 <td class="memname">__kernel void col2im </td>
148 <td>(</td>
149 <td class="paramtype">__global uchar *&#160;</td>
150 <td class="paramname"><em>src_ptr</em>, </td>
151 </tr>
152 <tr>
153 <td class="paramkey"></td>
154 <td></td>
155 <td class="paramtype">uint&#160;</td>
156 <td class="paramname"><em>src_stride_x</em>, </td>
157 </tr>
158 <tr>
159 <td class="paramkey"></td>
160 <td></td>
161 <td class="paramtype">uint&#160;</td>
162 <td class="paramname"><em>src_step_x</em>, </td>
163 </tr>
164 <tr>
165 <td class="paramkey"></td>
166 <td></td>
167 <td class="paramtype">uint&#160;</td>
168 <td class="paramname"><em>src_stride_y</em>, </td>
169 </tr>
170 <tr>
171 <td class="paramkey"></td>
172 <td></td>
173 <td class="paramtype">uint&#160;</td>
174 <td class="paramname"><em>src_step_y</em>, </td>
175 </tr>
176 <tr>
177 <td class="paramkey"></td>
178 <td></td>
179 <td class="paramtype">uint&#160;</td>
180 <td class="paramname"><em>src_offset_first_element_in_bytes</em>, </td>
181 </tr>
182 <tr>
183 <td class="paramkey"></td>
184 <td></td>
185 <td class="paramtype">__global uchar *&#160;</td>
186 <td class="paramname"><em>dst_ptr</em>, </td>
187 </tr>
188 <tr>
189 <td class="paramkey"></td>
190 <td></td>
191 <td class="paramtype">uint&#160;</td>
192 <td class="paramname"><em>dst_stride_x</em>, </td>
193 </tr>
194 <tr>
195 <td class="paramkey"></td>
196 <td></td>
197 <td class="paramtype">uint&#160;</td>
198 <td class="paramname"><em>dst_step_x</em>, </td>
199 </tr>
200 <tr>
201 <td class="paramkey"></td>
202 <td></td>
203 <td class="paramtype">uint&#160;</td>
204 <td class="paramname"><em>dst_stride_y</em>, </td>
205 </tr>
206 <tr>
207 <td class="paramkey"></td>
208 <td></td>
209 <td class="paramtype">uint&#160;</td>
210 <td class="paramname"><em>dst_step_y</em>, </td>
211 </tr>
212 <tr>
213 <td class="paramkey"></td>
214 <td></td>
215 <td class="paramtype">uint&#160;</td>
216 <td class="paramname"><em>dst_stride_z</em>, </td>
217 </tr>
218 <tr>
219 <td class="paramkey"></td>
220 <td></td>
221 <td class="paramtype">uint&#160;</td>
222 <td class="paramname"><em>dst_step_z</em>, </td>
223 </tr>
224 <tr>
225 <td class="paramkey"></td>
226 <td></td>
227 <td class="paramtype">uint&#160;</td>
228 <td class="paramname"><em>dst_offset_first_element_in_bytes</em>, </td>
229 </tr>
230 <tr>
231 <td class="paramkey"></td>
232 <td></td>
233 <td class="paramtype">uint&#160;</td>
234 <td class="paramname"><em>width</em>&#160;</td>
235 </tr>
236 <tr>
237 <td></td>
238 <td>)</td>
239 <td></td><td></td>
240 </tr>
241 </table>
242</div><div class="memdoc">
243
244<p>This kernel performs a reshaping of the output of the convolution layer. </p>
245<dl class="section note"><dt>Note</dt><dd>The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float</dd></dl>
246<dl class="params"><dt>Parameters</dt><dd>
247 <table class="params">
248 <tr><td class="paramdir">[in]</td><td class="paramname">src_ptr</td><td>Pointer to the source tensor. Supported data types: F16, F32 </td></tr>
249 <tr><td class="paramdir">[in]</td><td class="paramname">src_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
250 <tr><td class="paramdir">[in]</td><td class="paramname">src_step_x</td><td>src_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
251 <tr><td class="paramdir">[in]</td><td class="paramname">src_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
252 <tr><td class="paramdir">[in]</td><td class="paramname">src_step_y</td><td>src_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
253 <tr><td class="paramdir">[in]</td><td class="paramname">src_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
254 <tr><td class="paramdir">[out]</td><td class="paramname">dst_ptr</td><td>Pointer to the destination tensor. Supported data types: F16, F32 </td></tr>
255 <tr><td class="paramdir">[in]</td><td class="paramname">dst_stride_x</td><td>Stride of the destination tensor in X dimension (in bytes) </td></tr>
256 <tr><td class="paramdir">[in]</td><td class="paramname">dst_step_x</td><td>dst_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
257 <tr><td class="paramdir">[in]</td><td class="paramname">dst_stride_y</td><td>Stride of the destination tensor in Y dimension (in bytes) </td></tr>
258 <tr><td class="paramdir">[in]</td><td class="paramname">dst_step_y</td><td>dst_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
259 <tr><td class="paramdir">[in]</td><td class="paramname">dst_stride_z</td><td>Stride of the destination tensor in Z dimension (in bytes) </td></tr>
260 <tr><td class="paramdir">[in]</td><td class="paramname">dst_step_z</td><td>dst_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
261 <tr><td class="paramdir">[in]</td><td class="paramname">dst_offset_first_element_in_bytes</td><td>The offset of the first element in the destination tensor </td></tr>
262 <tr><td class="paramdir">[in]</td><td class="paramname">width</td><td>The output tensor width </td></tr>
263 </table>
264 </dd>
265</dl>
266
Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]267<p>Definition at line <a class="el" href="convolution__layer_8cl_source.xhtml#l00187">187</a> of file <a class="el" href="convolution__layer_8cl_source.xhtml">convolution_layer.cl</a>.</p>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]268
269<p>References <a class="el" href="helpers_8h_source.xhtml#l00073">CONVERT_TO_IMAGE_STRUCT</a>, <a class="el" href="helpers_8h_source.xhtml#l00083">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00027">DATA_TYPE</a>, <a class="el" href="helpers_8h_source.xhtml#l00097">Image::ptr</a>, <a class="el" href="helpers_8h_source.xhtml#l00106">Tensor3D::ptr</a>, <a class="el" href="helpers_8h_source.xhtml#l00108">Tensor3D::stride_x</a>, <a class="el" href="helpers_8h_source.xhtml#l00109">Tensor3D::stride_y</a>, and <a class="el" href="helpers_8h_source.xhtml#l00110">Tensor3D::stride_z</a>.</p>
Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]270<div class="fragment"><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160;{</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> src = <a class="code" href="helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> dst = <a class="code" href="helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(dst);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; <span class="keywordtype">int</span> idx = get_global_id(0) * dst.<a class="code" href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">stride_z</a> + (get_global_id(1) / width) * dst.<a class="code" href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">stride_y</a> + (get_global_id(1) % width) * dst.<a class="code" href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a>;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; __global uchar *tmp_out_ptr = dst.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + idx;</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_out_ptr) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>));</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160;}</div><div class="ttc" id="convolution3x3_8cl_xhtml_afb8c72ce35c4a1f4a2588d6573e54aa1"><div class="ttname"><a href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a></div><div class="ttdeci">#define DATA_TYPE</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00027">convolution3x3.cl:27</a></div></div>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]271<div class="ttc" id="struct_tensor3_d_xhtml_ad5ff7a2b2bd0eec50fe09c254b127d1c"><div class="ttname"><a href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">Tensor3D::stride_z</a></div><div class="ttdeci">int stride_z</div><div class="ttdoc">Stride of the image in Z dimension (in bytes) </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00110">helpers.h:110</a></div></div>
272<div class="ttc" id="struct_tensor3_d_xhtml_ae01febbfd0689ef709f3ff6fdd2abc7e"><div class="ttname"><a href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">Tensor3D::stride_x</a></div><div class="ttdeci">int stride_x</div><div class="ttdoc">Stride of the image in X dimension (in bytes) </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00108">helpers.h:108</a></div></div>
273<div class="ttc" id="struct_tensor3_d_xhtml"><div class="ttname"><a href="struct_tensor3_d.xhtml">Tensor3D</a></div><div class="ttdoc">Structure to hold 3D tensor information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00104">helpers.h:104</a></div></div>
274<div class="ttc" id="helpers_8h_xhtml_aebe814363556c244be043b13e7969197"><div class="ttname"><a href="helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_IMAGE_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00073">helpers.h:73</a></div></div>
275<div class="ttc" id="struct_image_xhtml"><div class="ttname"><a href="struct_image.xhtml">Image</a></div><div class="ttdoc">Structure to hold Image information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00095">helpers.h:95</a></div></div>
276<div class="ttc" id="struct_image_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">Image::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00097">helpers.h:97</a></div></div>
277<div class="ttc" id="helpers_8h_xhtml_a79e8e562daa6599317d2d1cd86ef1bf2"><div class="ttname"><a href="helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00083">helpers.h:83</a></div></div>
278<div class="ttc" id="struct_tensor3_d_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">Tensor3D::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00106">helpers.h:106</a></div></div>
279<div class="ttc" id="struct_tensor3_d_xhtml_a4f0b90c9ecd6e57ceb3f37332fefe8f1"><div class="ttname"><a href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">Tensor3D::stride_y</a></div><div class="ttdeci">int stride_y</div><div class="ttdoc">Stride of the image in Y dimension (in bytes) </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00109">helpers.h:109</a></div></div>
280</div><!-- fragment -->
281</div>
282</div>
283<a class="anchor" id="afaddfccc926506181141b2dc86cb73f1"></a>
284<div class="memitem">
285<div class="memproto">
286 <table class="memname">
287 <tr>
288 <td class="memname">__kernel void im2col_generic </td>
289 <td>(</td>
290 <td class="paramtype">__global uchar *&#160;</td>
291 <td class="paramname"><em>src_ptr</em>, </td>
292 </tr>
293 <tr>
294 <td class="paramkey"></td>
295 <td></td>
296 <td class="paramtype">uint&#160;</td>
297 <td class="paramname"><em>src_stride_x</em>, </td>
298 </tr>
299 <tr>
300 <td class="paramkey"></td>
301 <td></td>
302 <td class="paramtype">uint&#160;</td>
303 <td class="paramname"><em>src_step_x</em>, </td>
304 </tr>
305 <tr>
306 <td class="paramkey"></td>
307 <td></td>
308 <td class="paramtype">uint&#160;</td>
309 <td class="paramname"><em>src_stride_y</em>, </td>
310 </tr>
311 <tr>
312 <td class="paramkey"></td>
313 <td></td>
314 <td class="paramtype">uint&#160;</td>
315 <td class="paramname"><em>src_step_y</em>, </td>
316 </tr>
317 <tr>
318 <td class="paramkey"></td>
319 <td></td>
320 <td class="paramtype">uint&#160;</td>
321 <td class="paramname"><em>src_stride_z</em>, </td>
322 </tr>
323 <tr>
324 <td class="paramkey"></td>
325 <td></td>
326 <td class="paramtype">uint&#160;</td>
327 <td class="paramname"><em>src_step_z</em>, </td>
328 </tr>
329 <tr>
330 <td class="paramkey"></td>
331 <td></td>
332 <td class="paramtype">uint&#160;</td>
333 <td class="paramname"><em>src_offset_first_element_in_bytes</em>, </td>
334 </tr>
335 <tr>
336 <td class="paramkey"></td>
337 <td></td>
338 <td class="paramtype">__global uchar *&#160;</td>
339 <td class="paramname"><em>dst_ptr</em>, </td>
340 </tr>
341 <tr>
342 <td class="paramkey"></td>
343 <td></td>
344 <td class="paramtype">uint&#160;</td>
345 <td class="paramname"><em>dst_stride_x</em>, </td>
346 </tr>
347 <tr>
348 <td class="paramkey"></td>
349 <td></td>
350 <td class="paramtype">uint&#160;</td>
351 <td class="paramname"><em>dst_step_x</em>, </td>
352 </tr>
353 <tr>
354 <td class="paramkey"></td>
355 <td></td>
356 <td class="paramtype">uint&#160;</td>
357 <td class="paramname"><em>dst_stride_y</em>, </td>
358 </tr>
359 <tr>
360 <td class="paramkey"></td>
361 <td></td>
362 <td class="paramtype">uint&#160;</td>
363 <td class="paramname"><em>dst_step_y</em>, </td>
364 </tr>
365 <tr>
366 <td class="paramkey"></td>
367 <td></td>
368 <td class="paramtype">uint&#160;</td>
369 <td class="paramname"><em>dst_offset_first_element_in_bytes</em>, </td>
370 </tr>
371 <tr>
372 <td class="paramkey"></td>
373 <td></td>
374 <td class="paramtype">int&#160;</td>
375 <td class="paramname"><em>kernel_size</em>, </td>
376 </tr>
377 <tr>
378 <td class="paramkey"></td>
379 <td></td>
380 <td class="paramtype">int&#160;</td>
381 <td class="paramname"><em>kernel_depth</em>, </td>
382 </tr>
383 <tr>
384 <td class="paramkey"></td>
385 <td></td>
386 <td class="paramtype">int&#160;</td>
387 <td class="paramname"><em>width</em>, </td>
388 </tr>
389 <tr>
390 <td class="paramkey"></td>
391 <td></td>
392 <td class="paramtype">int2&#160;</td>
393 <td class="paramname"><em>input_dims</em>, </td>
394 </tr>
395 <tr>
396 <td class="paramkey"></td>
397 <td></td>
398 <td class="paramtype">int2&#160;</td>
399 <td class="paramname"><em>strides</em>, </td>
400 </tr>
401 <tr>
402 <td class="paramkey"></td>
403 <td></td>
404 <td class="paramtype">int2&#160;</td>
405 <td class="paramname"><em>paddings</em>&#160;</td>
406 </tr>
407 <tr>
408 <td></td>
409 <td>)</td>
410 <td></td><td></td>
411 </tr>
412 </table>
413</div><div class="memdoc">
414
415<p>This kernel performs a reshaping of the input tensor to a tensor used to perform convolution using GEMM. </p>
416<dl class="section note"><dt>Note</dt><dd>The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float </dd>
417<dd>
418In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row.</dd></dl>
419<dl class="params"><dt>Parameters</dt><dd>
420 <table class="params">
421 <tr><td class="paramdir">[in]</td><td class="paramname">src_ptr</td><td>Pointer to the source tensor. Supported data types: F16, F32 </td></tr>
422 <tr><td class="paramdir">[in]</td><td class="paramname">src_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
423 <tr><td class="paramdir">[in]</td><td class="paramname">src_step_x</td><td>src_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
424 <tr><td class="paramdir">[in]</td><td class="paramname">src_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
425 <tr><td class="paramdir">[in]</td><td class="paramname">src_step_y</td><td>src_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
426 <tr><td class="paramdir">[in]</td><td class="paramname">src_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
427 <tr><td class="paramdir">[in]</td><td class="paramname">src_step_z</td><td>src_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
428 <tr><td class="paramdir">[in]</td><td class="paramname">src_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
429 <tr><td class="paramdir">[out]</td><td class="paramname">dst_ptr</td><td>Pointer to the destination tensor. Supported data types: F16, F32 </td></tr>
430 <tr><td class="paramdir">[in]</td><td class="paramname">dst_stride_x</td><td>Stride of the destination tensor in X dimension (in bytes) </td></tr>
431 <tr><td class="paramdir">[in]</td><td class="paramname">dst_step_x</td><td>dst_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
432 <tr><td class="paramdir">[in]</td><td class="paramname">dst_stride_y</td><td>Stride of the destination tensor in Y dimension (in bytes) </td></tr>
433 <tr><td class="paramdir">[in]</td><td class="paramname">dst_step_y</td><td>dst_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
434 <tr><td class="paramdir">[in]</td><td class="paramname">dst_offset_first_element_in_bytes</td><td>The offset of the first element in the destination tensor </td></tr>
435 <tr><td class="paramdir">[in]</td><td class="paramname">kernel_size</td><td>The convolution kernel size </td></tr>
436 <tr><td class="paramdir">[in]</td><td class="paramname">kernel_depth</td><td>The kernel depth </td></tr>
437 <tr><td class="paramdir">[in]</td><td class="paramname">width</td><td>The output tensor width </td></tr>
438 <tr><td class="paramdir">[in]</td><td class="paramname">input_dims</td><td>The input tensor dimensions </td></tr>
439 <tr><td class="paramdir">[in]</td><td class="paramname">strides</td><td>The strides of the im2col operation </td></tr>
440 <tr><td class="paramdir">[in]</td><td class="paramname">paddings</td><td>The input tensor paddings </td></tr>
441 </table>
442 </dd>
443</dl>
444
Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]445<p>Definition at line <a class="el" href="convolution__layer_8cl_source.xhtml#l00122">122</a> of file <a class="el" href="convolution__layer_8cl_source.xhtml">convolution_layer.cl</a>.</p>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]446
447<p>References <a class="el" href="helpers_8h_source.xhtml#l00076">CONVERT_TO_IMAGE_STRUCT_NO_STEP</a>, <a class="el" href="helpers_8h_source.xhtml#l00079">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00027">DATA_TYPE</a>, <a class="el" href="helpers_8h_source.xhtml#l00097">Image::ptr</a>, <a class="el" href="helpers_8h_source.xhtml#l00099">Image::stride_x</a>, <a class="el" href="helpers_8h_source.xhtml#l00100">Image::stride_y</a>, and <a class="el" href="helpers_8h_source.xhtml#l00213">tensor3D_offset()</a>.</p>
Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]448<div class="fragment"><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160;{</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> src = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(src);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> dst = <a class="code" href="helpers_8h.xhtml#a4334a4a76f8e9628c0fb9e1acf616e2a">CONVERT_TO_IMAGE_STRUCT_NO_STEP</a>(dst);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; <span class="comment">// Determine output index</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; uint idx = (get_global_id(1) * width + get_global_id(0)) * dst.<a class="code" href="struct_image.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">stride_y</a>;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; __global uchar *output_ptr = dst.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + idx;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160;</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="comment">// Determine current input index</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> top_left_x = get_global_id(0) * strides.x - paddings.x;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> top_left_y = get_global_id(1) * strides.y - paddings.y;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="comment">// Linearize convolution elements</span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> d = 0; d &lt; kernel_depth; ++d)</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; {</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = top_left_y, y_e = top_left_y + kernel_size; y &lt; y_e; ++y)</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; {</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = top_left_x, x_e = top_left_x + kernel_size; x &lt; x_e; ++x, output_ptr += dst.<a class="code" href="struct_image.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a>)</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; {</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; <span class="keywordflow">if</span>(x &lt; 0 || x &gt;= input_dims.x || y &lt; 0 || y &gt;= input_dims.y)</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; {</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)output_ptr) = 0;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; }</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; {</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)output_ptr) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;src, x, y, d)));</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; }</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; }</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; }</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; }</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160;<span class="preprocessor">#if defined HAS_BIAS</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)output_ptr) = 1;</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160;}</div><div class="ttc" id="helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00079">helpers.h:79</a></div></div>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]449<div class="ttc" id="convolution3x3_8cl_xhtml_afb8c72ce35c4a1f4a2588d6573e54aa1"><div class="ttname"><a href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a></div><div class="ttdeci">#define DATA_TYPE</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00027">convolution3x3.cl:27</a></div></div>
450<div class="ttc" id="helpers_8h_xhtml_a4334a4a76f8e9628c0fb9e1acf616e2a"><div class="ttname"><a href="helpers_8h.xhtml#a4334a4a76f8e9628c0fb9e1acf616e2a">CONVERT_TO_IMAGE_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_IMAGE_STRUCT_NO_STEP(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00076">helpers.h:76</a></div></div>
451<div class="ttc" id="struct_tensor3_d_xhtml"><div class="ttname"><a href="struct_tensor3_d.xhtml">Tensor3D</a></div><div class="ttdoc">Structure to hold 3D tensor information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00104">helpers.h:104</a></div></div>
452<div class="ttc" id="helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00213">helpers.h:213</a></div></div>
453<div class="ttc" id="struct_image_xhtml"><div class="ttname"><a href="struct_image.xhtml">Image</a></div><div class="ttdoc">Structure to hold Image information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00095">helpers.h:95</a></div></div>
454<div class="ttc" id="struct_image_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">Image::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00097">helpers.h:97</a></div></div>
455<div class="ttc" id="struct_image_xhtml_a4f0b90c9ecd6e57ceb3f37332fefe8f1"><div class="ttname"><a href="struct_image.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">Image::stride_y</a></div><div class="ttdeci">int stride_y</div><div class="ttdoc">Stride of the image in Y dimension (in bytes) </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00100">helpers.h:100</a></div></div>
456<div class="ttc" id="struct_image_xhtml_ae01febbfd0689ef709f3ff6fdd2abc7e"><div class="ttname"><a href="struct_image.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">Image::stride_x</a></div><div class="ttdeci">int stride_x</div><div class="ttdoc">Stride of the image in X dimension (in bytes) </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00099">helpers.h:99</a></div></div>
457</div><!-- fragment -->
458</div>
459</div>
460<a class="anchor" id="a6f31f2c8d606e1b57d9bdfacd416024c"></a>
461<div class="memitem">
462<div class="memproto">
463 <table class="memname">
464 <tr>
465 <td class="memname">__kernel void im2col_reduced </td>
466 <td>(</td>
467 <td class="paramtype">__global uchar *&#160;</td>
468 <td class="paramname"><em>src_ptr</em>, </td>
469 </tr>
470 <tr>
471 <td class="paramkey"></td>
472 <td></td>
473 <td class="paramtype">uint&#160;</td>
474 <td class="paramname"><em>src_stride_x</em>, </td>
475 </tr>
476 <tr>
477 <td class="paramkey"></td>
478 <td></td>
479 <td class="paramtype">uint&#160;</td>
480 <td class="paramname"><em>src_step_x</em>, </td>
481 </tr>
482 <tr>
483 <td class="paramkey"></td>
484 <td></td>
485 <td class="paramtype">uint&#160;</td>
486 <td class="paramname"><em>src_stride_y</em>, </td>
487 </tr>
488 <tr>
489 <td class="paramkey"></td>
490 <td></td>
491 <td class="paramtype">uint&#160;</td>
492 <td class="paramname"><em>src_step_y</em>, </td>
493 </tr>
494 <tr>
495 <td class="paramkey"></td>
496 <td></td>
497 <td class="paramtype">uint&#160;</td>
498 <td class="paramname"><em>src_stride_z</em>, </td>
499 </tr>
500 <tr>
501 <td class="paramkey"></td>
502 <td></td>
503 <td class="paramtype">uint&#160;</td>
504 <td class="paramname"><em>src_step_z</em>, </td>
505 </tr>
506 <tr>
507 <td class="paramkey"></td>
508 <td></td>
509 <td class="paramtype">uint&#160;</td>
510 <td class="paramname"><em>src_offset_first_element_in_bytes</em>, </td>
511 </tr>
512 <tr>
513 <td class="paramkey"></td>
514 <td></td>
515 <td class="paramtype">__global uchar *&#160;</td>
516 <td class="paramname"><em>dst_ptr</em>, </td>
517 </tr>
518 <tr>
519 <td class="paramkey"></td>
520 <td></td>
521 <td class="paramtype">uint&#160;</td>
522 <td class="paramname"><em>dst_stride_x</em>, </td>
523 </tr>
524 <tr>
525 <td class="paramkey"></td>
526 <td></td>
527 <td class="paramtype">uint&#160;</td>
528 <td class="paramname"><em>dst_step_x</em>, </td>
529 </tr>
530 <tr>
531 <td class="paramkey"></td>
532 <td></td>
533 <td class="paramtype">uint&#160;</td>
534 <td class="paramname"><em>dst_offset_first_element_in_bytes</em>, </td>
535 </tr>
536 <tr>
537 <td class="paramkey"></td>
538 <td></td>
539 <td class="paramtype">uint&#160;</td>
540 <td class="paramname"><em>width</em>, </td>
541 </tr>
542 <tr>
543 <td class="paramkey"></td>
544 <td></td>
545 <td class="paramtype">uint&#160;</td>
546 <td class="paramname"><em>height</em>&#160;</td>
547 </tr>
548 <tr>
549 <td></td>
550 <td>)</td>
551 <td></td><td></td>
552 </tr>
553 </table>
554</div><div class="memdoc">
555
556<p>This kernel reshapes the tensor's low three dimensions to single row for GEMM operation. </p>
557<dl class="section note"><dt>Note</dt><dd>Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float </dd>
558<dd>
559In case biases will be added in late stage, -DHAS_BIAS has to be passed to append the final matrix with 1 in each row.</dd></dl>
560<dl class="params"><dt>Parameters</dt><dd>
561 <table class="params">
562 <tr><td class="paramdir">[in]</td><td class="paramname">src_ptr</td><td>Pointer to the source tensor. Supported data types: F16, F32 </td></tr>
563 <tr><td class="paramdir">[in]</td><td class="paramname">src_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
564 <tr><td class="paramdir">[in]</td><td class="paramname">src_step_x</td><td>src_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
565 <tr><td class="paramdir">[in]</td><td class="paramname">src_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
566 <tr><td class="paramdir">[in]</td><td class="paramname">src_step_y</td><td>src_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
567 <tr><td class="paramdir">[in]</td><td class="paramname">src_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
568 <tr><td class="paramdir">[in]</td><td class="paramname">src_step_z</td><td>src_stride_z * number of elements along Y processed per workitem(in bytes) </td></tr>
569 <tr><td class="paramdir">[in]</td><td class="paramname">src_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
570 <tr><td class="paramdir">[out]</td><td class="paramname">dst_ptr</td><td>Pointer to the destination tensor. Same as input. </td></tr>
571 <tr><td class="paramdir">[in]</td><td class="paramname">dst_stride_x</td><td>Stride of the destination tensor in X dimension (in bytes) </td></tr>
572 <tr><td class="paramdir">[in]</td><td class="paramname">dst_step_x</td><td>dst_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
573 <tr><td class="paramdir">[in]</td><td class="paramname">dst_offset_first_element_in_bytes</td><td>The offset of the first element in the destination tensor </td></tr>
574 <tr><td class="paramdir">[in]</td><td class="paramname">width</td><td>The width of the input tensor </td></tr>
575 <tr><td class="paramdir">[in]</td><td class="paramname">height</td><td>The height of the input tensor </td></tr>
576 </table>
577 </dd>
578</dl>
579
Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]580<p>Definition at line <a class="el" href="convolution__layer_8cl_source.xhtml#l00220">220</a> of file <a class="el" href="convolution__layer_8cl_source.xhtml">convolution_layer.cl</a>.</p>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]581
582<p>References <a class="el" href="helpers_8h_source.xhtml#l00079">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00027">DATA_TYPE</a>, and <a class="el" href="helpers_8h_source.xhtml#l00106">Tensor3D::ptr</a>.</p>
Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]583<div class="fragment"><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160;{</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> src = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(src);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; <span class="keyword">const</span> uint image_size = width * height;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160;</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; __global uchar *tmp_out_ptr = dst_ptr + dst_offset_first_element_in_bytes + (get_global_id(0) + get_global_id(1) * width + get_global_id(2) * image_size) * dst_stride_x;</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160;</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_out_ptr) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)src.ptr);</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;<span class="preprocessor">#if defined HAS_BIAS</span></div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; <span class="comment">// If it is the last thread in the 3 dimensional workgroup</span></div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; <span class="keywordflow">if</span>(get_global_id(0) == (get_global_size(0) - 1) &amp;&amp; get_global_id(1) == (get_global_size(1) - 1) &amp;&amp; get_global_id(2) == (get_global_size(2) - 1))</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; {</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; tmp_out_ptr += dst_stride_x;</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_out_ptr) = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)1;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; }</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160;}</div><div class="ttc" id="helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00079">helpers.h:79</a></div></div>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]584<div class="ttc" id="convolution3x3_8cl_xhtml_afb8c72ce35c4a1f4a2588d6573e54aa1"><div class="ttname"><a href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a></div><div class="ttdeci">#define DATA_TYPE</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00027">convolution3x3.cl:27</a></div></div>
585<div class="ttc" id="struct_tensor3_d_xhtml"><div class="ttname"><a href="struct_tensor3_d.xhtml">Tensor3D</a></div><div class="ttdoc">Structure to hold 3D tensor information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00104">helpers.h:104</a></div></div>
586</div><!-- fragment -->
587</div>
588</div>
Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]589<a class="anchor" id="ab6358b28d1e7bc946950075d94412013"></a>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]590<div class="memitem">
591<div class="memproto">
592 <table class="memname">
593 <tr>
594 <td class="memname">__kernel void reshape_to_columns </td>
595 <td>(</td>
596 <td class="paramtype">__global uchar *&#160;</td>
597 <td class="paramname"><em>src_ptr</em>, </td>
598 </tr>
599 <tr>
600 <td class="paramkey"></td>
601 <td></td>
602 <td class="paramtype">uint&#160;</td>
603 <td class="paramname"><em>src_stride_x</em>, </td>
604 </tr>
605 <tr>
606 <td class="paramkey"></td>
607 <td></td>
608 <td class="paramtype">uint&#160;</td>
609 <td class="paramname"><em>src_step_x</em>, </td>
610 </tr>
611 <tr>
612 <td class="paramkey"></td>
613 <td></td>
614 <td class="paramtype">uint&#160;</td>
615 <td class="paramname"><em>src_stride_y</em>, </td>
616 </tr>
617 <tr>
618 <td class="paramkey"></td>
619 <td></td>
620 <td class="paramtype">uint&#160;</td>
621 <td class="paramname"><em>src_step_y</em>, </td>
622 </tr>
623 <tr>
624 <td class="paramkey"></td>
625 <td></td>
626 <td class="paramtype">uint&#160;</td>
627 <td class="paramname"><em>src_stride_z</em>, </td>
628 </tr>
629 <tr>
630 <td class="paramkey"></td>
631 <td></td>
632 <td class="paramtype">uint&#160;</td>
633 <td class="paramname"><em>src_step_z</em>, </td>
634 </tr>
635 <tr>
636 <td class="paramkey"></td>
637 <td></td>
638 <td class="paramtype">uint&#160;</td>
639 <td class="paramname"><em>src_offset_first_element_in_bytes</em>, </td>
640 </tr>
641 <tr>
642 <td class="paramkey"></td>
643 <td></td>
644 <td class="paramtype">__global uchar *&#160;</td>
645 <td class="paramname"><em>dst_ptr</em>, </td>
646 </tr>
647 <tr>
648 <td class="paramkey"></td>
649 <td></td>
650 <td class="paramtype">uint&#160;</td>
651 <td class="paramname"><em>dst_stride_x</em>, </td>
652 </tr>
653 <tr>
654 <td class="paramkey"></td>
655 <td></td>
656 <td class="paramtype">uint&#160;</td>
657 <td class="paramname"><em>dst_step_x</em>, </td>
658 </tr>
659 <tr>
660 <td class="paramkey"></td>
661 <td></td>
662 <td class="paramtype">uint&#160;</td>
663 <td class="paramname"><em>dst_stride_y</em>, </td>
664 </tr>
665 <tr>
666 <td class="paramkey"></td>
667 <td></td>
668 <td class="paramtype">uint&#160;</td>
669 <td class="paramname"><em>dst_step_y</em>, </td>
670 </tr>
671 <tr>
672 <td class="paramkey"></td>
673 <td></td>
674 <td class="paramtype">uint&#160;</td>
675 <td class="paramname"><em>dst_offset_first_element_in_bytes</em>, </td>
676 </tr>
677 <tr>
678 <td class="paramkey"></td>
679 <td></td>
680 <td class="paramtype">__global uchar *&#160;</td>
681 <td class="paramname"><em>bias_ptr</em>, </td>
682 </tr>
683 <tr>
684 <td class="paramkey"></td>
685 <td></td>
686 <td class="paramtype">uint&#160;</td>
687 <td class="paramname"><em>bias_stride_x</em>, </td>
688 </tr>
689 <tr>
690 <td class="paramkey"></td>
691 <td></td>
692 <td class="paramtype">uint&#160;</td>
693 <td class="paramname"><em>bias_step_x</em>, </td>
694 </tr>
695 <tr>
696 <td class="paramkey"></td>
697 <td></td>
698 <td class="paramtype">uint&#160;</td>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]699 <td class="paramname"><em>bias_offset_first_element_in_bytes</em>, </td>
700 </tr>
701 <tr>
702 <td class="paramkey"></td>
703 <td></td>
704 <td class="paramtype">uint&#160;</td>
705 <td class="paramname"><em>width</em>, </td>
706 </tr>
707 <tr>
708 <td class="paramkey"></td>
709 <td></td>
710 <td class="paramtype">uint&#160;</td>
Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]711 <td class="paramname"><em>height</em>, </td>
712 </tr>
713 <tr>
714 <td class="paramkey"></td>
715 <td></td>
716 <td class="paramtype">uint&#160;</td>
717 <td class="paramname"><em>depth</em>, </td>
718 </tr>
719 <tr>
720 <td class="paramkey"></td>
721 <td></td>
722 <td class="paramtype">uint&#160;</td>
723 <td class="paramname"><em>total_filters</em>&#160;</td>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]724 </tr>
725 <tr>
726 <td></td>
727 <td>)</td>
728 <td></td><td></td>
729 </tr>
730 </table>
731</div><div class="memdoc">
732
733<p>This kernel reshapes the tensor's low three dimensions to single column. </p>
734<dl class="section note"><dt>Note</dt><dd>Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short</dd></dl>
735<dl class="params"><dt>Parameters</dt><dd>
736 <table class="params">
737 <tr><td class="paramdir">[in]</td><td class="paramname">src_ptr</td><td>Pointer to the source tensor. Supported data types: F16, F32 </td></tr>
738 <tr><td class="paramdir">[in]</td><td class="paramname">src_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
739 <tr><td class="paramdir">[in]</td><td class="paramname">src_step_x</td><td>src_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
740 <tr><td class="paramdir">[in]</td><td class="paramname">src_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
741 <tr><td class="paramdir">[in]</td><td class="paramname">src_step_y</td><td>src_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
742 <tr><td class="paramdir">[in]</td><td class="paramname">src_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
743 <tr><td class="paramdir">[in]</td><td class="paramname">src_step_z</td><td>src_stride_z * number of elements along Y processed per workitem(in bytes) </td></tr>
744 <tr><td class="paramdir">[in]</td><td class="paramname">src_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
745 <tr><td class="paramdir">[out]</td><td class="paramname">dst_ptr</td><td>Pointer to the destination tensor. Same as input </td></tr>
746 <tr><td class="paramdir">[in]</td><td class="paramname">dst_stride_x</td><td>Stride of the destination tensor in X dimension (in bytes) </td></tr>
747 <tr><td class="paramdir">[in]</td><td class="paramname">dst_step_x</td><td>dst_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
748 <tr><td class="paramdir">[in]</td><td class="paramname">dst_stride_y</td><td>Stride of the destination tensor in Y dimension (in bytes) </td></tr>
749 <tr><td class="paramdir">[in]</td><td class="paramname">dst_step_y</td><td>dst_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
750 <tr><td class="paramdir">[in]</td><td class="paramname">dst_offset_first_element_in_bytes</td><td>The offset of the first element in the destination tensor </td></tr>
751 <tr><td class="paramdir">[in]</td><td class="paramname">bias_ptr</td><td>Pointer to the bias tensor. Same as input </td></tr>
752 <tr><td class="paramdir">[in]</td><td class="paramname">bias_stride_x</td><td>Stride of the bias tensor in X dimension (in bytes) </td></tr>
753 <tr><td class="paramdir">[in]</td><td class="paramname">bias_step_x</td><td>bias_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]754 <tr><td class="paramdir">[in]</td><td class="paramname">bias_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
755 <tr><td class="paramdir">[in]</td><td class="paramname">width</td><td>The width of the input tensor </td></tr>
756 <tr><td class="paramdir">[in]</td><td class="paramname">height</td><td>The height of the input tensor </td></tr>
Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]757 <tr><td class="paramdir">[in]</td><td class="paramname">depth</td><td>The depth of the input tensor </td></tr>
758 <tr><td class="paramdir">[in]</td><td class="paramname">total_filters</td><td>Total number of filters. 4th dimension of the weights matrix </td></tr>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]759 </table>
760 </dd>
761</dl>
762
763<p>Definition at line <a class="el" href="convolution__layer_8cl_source.xhtml#l00053">53</a> of file <a class="el" href="convolution__layer_8cl_source.xhtml">convolution_layer.cl</a>.</p>
764
765<p>References <a class="el" href="helpers_8h_source.xhtml#l00079">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00027">DATA_TYPE</a>, and <a class="el" href="helpers_8h_source.xhtml#l00106">Tensor3D::ptr</a>.</p>
Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]766<div class="fragment"><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;{</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> src = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(src);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keywordtype">bool</span> is_last_thread = (get_global_id(0) == (get_global_size(0) - 1) &amp;&amp; get_global_id(1) == (get_global_size(1) - 1) &amp;&amp; get_global_id(2) == (get_global_size(2) - 1));</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; __global uchar *tmp_src_ptr = src.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; __global uchar *tmp_dst_ptr = dst_ptr + dst_offset_first_element_in_bytes + get_global_id(0) * dst_stride_y + get_global_id(1) * width * dst_stride_y + get_global_id(</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; 2) * width * height * dst_stride_y;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;<span class="preprocessor">#if defined HAS_BIAS</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; __global uchar *tmp_bias_ptr = bias_ptr + bias_offset_first_element_in_bytes;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="keywordflow">if</span>(is_last_thread)</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keywordflow">for</span>(uint i = 0; i &lt; total_filters; ++i)</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_dst_ptr) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_src_ptr);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;<span class="preprocessor">#if defined HAS_BIAS</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(tmp_dst_ptr + dst_stride_y)) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(tmp_bias_ptr));</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; tmp_bias_ptr += bias_stride_x;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; tmp_src_ptr += depth * src_stride_z;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; tmp_dst_ptr += dst_stride_x;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; }</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; }</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; {</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keywordflow">for</span>(uint i = 0; i &lt; total_filters; ++i)</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; {</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_dst_ptr) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_src_ptr);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; tmp_src_ptr += depth * src_stride_z;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; tmp_dst_ptr += dst_stride_x;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; }</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; }</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;}</div><div class="ttc" id="helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00079">helpers.h:79</a></div></div>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]767<div class="ttc" id="convolution3x3_8cl_xhtml_afb8c72ce35c4a1f4a2588d6573e54aa1"><div class="ttname"><a href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a></div><div class="ttdeci">#define DATA_TYPE</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00027">convolution3x3.cl:27</a></div></div>
768<div class="ttc" id="struct_tensor3_d_xhtml"><div class="ttname"><a href="struct_tensor3_d.xhtml">Tensor3D</a></div><div class="ttdoc">Structure to hold 3D tensor information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00104">helpers.h:104</a></div></div>
769<div class="ttc" id="struct_tensor3_d_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">Tensor3D::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00106">helpers.h:106</a></div></div>
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Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]779 <li class="footer">Generated on Fri Jun 23 2017 15:44:34 for Compute Library by
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781 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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