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gerrit-public.fairphone.software / platform / external / ComputeLibrary / 664d833b9d7b569db60b0f6d93e80f91f2c07c39 / . / documentation / pooling__layer_8cl.xhtml
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Anthony Barbier46d59272017-05-04 09:15:15 +0100[diff] [blame]43 &#160;<span id="projectnumber">17.05</span>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]44 </div>
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114<div class="header">
115 <div class="summary">
116<a href="#define-members">Macros</a> &#124;
117<a href="#func-members">Functions</a> </div>
118 <div class="headertitle">
119<div class="title">pooling_layer.cl File Reference</div> </div>
120</div><!--header-->
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="pooling__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="define-members"></a>
127Macros</h2></td></tr>
128<tr class="memitem:a482ef7d59a5f474ca126e737c7f0978a"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(x, y)&#160;&#160;&#160;((x) + (y))</td></tr>
129<tr class="separator:a482ef7d59a5f474ca126e737c7f0978a"><td class="memSeparator" colspan="2">&#160;</td></tr>
130</table><table class="memberdecls">
131<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
132Functions</h2></td></tr>
133<tr class="memitem:a60440813daa769d486c5786d52b91340"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer_8cl.xhtml#a60440813daa769d486c5786d52b91340">calculate_avg_scale</a> (const int pool_size, const int upper_bound_w, const int upper_bound_h, const int pad_x, const int pad_y, const int stride_x, const int stride_y)</td></tr>
134<tr class="separator:a60440813daa769d486c5786d52b91340"><td class="memSeparator" colspan="2">&#160;</td></tr>
135<tr class="memitem:ac5df4051328f567787660fd319694842"><td class="memItemLeft" align="right" valign="top">__kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer_8cl.xhtml#ac5df4051328f567787660fd319694842">pooling_layer_2</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_offset_first_element_in_bytes, int2 max_dims, int2 strides, int2 paddings)</td></tr>
136<tr class="memdesc:ac5df4051328f567787660fd319694842"><td class="mdescLeft">&#160;</td><td class="mdescRight">Performs a pooling function of pool size equal to 2. <a href="#ac5df4051328f567787660fd319694842">More...</a><br /></td></tr>
137<tr class="separator:ac5df4051328f567787660fd319694842"><td class="memSeparator" colspan="2">&#160;</td></tr>
138<tr class="memitem:a0c8f47e252a2f3e9d9f2ba3bf197846b"><td class="memItemLeft" align="right" valign="top">__kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="pooling__layer_8cl.xhtml#a0c8f47e252a2f3e9d9f2ba3bf197846b">pooling_layer_3</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_offset_first_element_in_bytes, int2 max_dims, int2 strides, int2 paddings)</td></tr>
139<tr class="memdesc:a0c8f47e252a2f3e9d9f2ba3bf197846b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Performs a pooling function of pool size equal to 3. <a href="#a0c8f47e252a2f3e9d9f2ba3bf197846b">More...</a><br /></td></tr>
140<tr class="separator:a0c8f47e252a2f3e9d9f2ba3bf197846b"><td class="memSeparator" colspan="2">&#160;</td></tr>
141</table>
142<h2 class="groupheader">Macro Definition Documentation</h2>
143<a class="anchor" id="a482ef7d59a5f474ca126e737c7f0978a"></a>
144<div class="memitem">
145<div class="memproto">
146 <table class="memname">
147 <tr>
148 <td class="memname">#define POOL_OP</td>
149 <td>(</td>
150 <td class="paramtype">&#160;</td>
151 <td class="paramname">x, </td>
152 </tr>
153 <tr>
154 <td class="paramkey"></td>
155 <td></td>
156 <td class="paramtype">&#160;</td>
157 <td class="paramname">y&#160;</td>
158 </tr>
159 <tr>
160 <td></td>
161 <td>)</td>
162 <td></td><td>&#160;&#160;&#160;((x) + (y))</td>
163 </tr>
164 </table>
165</div><div class="memdoc">
166
167<p>Definition at line <a class="el" href="pooling__layer_8cl_source.xhtml#l00027">27</a> of file <a class="el" href="pooling__layer_8cl_source.xhtml">pooling_layer.cl</a>.</p>
168
169<p>Referenced by <a class="el" href="pooling__layer_8cl_source.xhtml#l00064">pooling_layer_2()</a>, and <a class="el" href="pooling__layer_8cl_source.xhtml#l00118">pooling_layer_3()</a>.</p>
170
171</div>
172</div>
173<h2 class="groupheader">Function Documentation</h2>
174<a class="anchor" id="a60440813daa769d486c5786d52b91340"></a>
175<div class="memitem">
176<div class="memproto">
177 <table class="memname">
178 <tr>
179 <td class="memname">float calculate_avg_scale </td>
180 <td>(</td>
181 <td class="paramtype">const int&#160;</td>
182 <td class="paramname"><em>pool_size</em>, </td>
183 </tr>
184 <tr>
185 <td class="paramkey"></td>
186 <td></td>
187 <td class="paramtype">const int&#160;</td>
188 <td class="paramname"><em>upper_bound_w</em>, </td>
189 </tr>
190 <tr>
191 <td class="paramkey"></td>
192 <td></td>
193 <td class="paramtype">const int&#160;</td>
194 <td class="paramname"><em>upper_bound_h</em>, </td>
195 </tr>
196 <tr>
197 <td class="paramkey"></td>
198 <td></td>
199 <td class="paramtype">const int&#160;</td>
200 <td class="paramname"><em>pad_x</em>, </td>
201 </tr>
202 <tr>
203 <td class="paramkey"></td>
204 <td></td>
205 <td class="paramtype">const int&#160;</td>
206 <td class="paramname"><em>pad_y</em>, </td>
207 </tr>
208 <tr>
209 <td class="paramkey"></td>
210 <td></td>
211 <td class="paramtype">const int&#160;</td>
212 <td class="paramname"><em>stride_x</em>, </td>
213 </tr>
214 <tr>
215 <td class="paramkey"></td>
216 <td></td>
217 <td class="paramtype">const int&#160;</td>
218 <td class="paramname"><em>stride_y</em>&#160;</td>
219 </tr>
220 <tr>
221 <td></td>
222 <td>)</td>
223 <td></td><td></td>
224 </tr>
225 </table>
226</div><div class="memdoc">
227
228<p>Definition at line <a class="el" href="pooling__layer_8cl_source.xhtml#l00032">32</a> of file <a class="el" href="pooling__layer_8cl_source.xhtml">pooling_layer.cl</a>.</p>
229
230<p>Referenced by <a class="el" href="pooling__layer_8cl_source.xhtml#l00064">pooling_layer_2()</a>, and <a class="el" href="pooling__layer_8cl_source.xhtml#l00118">pooling_layer_3()</a>.</p>
231<div class="fragment"><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;{</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="keywordtype">int</span> start_x = get_global_id(0) * stride_x - pad_x;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="keywordtype">int</span> start_y = get_global_id(1) * stride_y - pad_y;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keywordtype">int</span> end_x = min(start_x + pool_size, upper_bound_w);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="keywordtype">int</span> end_y = min(start_y + pool_size, upper_bound_h);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keywordflow">return</span> 1.f / ((end_y - start_y) * (end_x - start_x));</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;}</div></div><!-- fragment -->
232</div>
233</div>
234<a class="anchor" id="ac5df4051328f567787660fd319694842"></a>
235<div class="memitem">
236<div class="memproto">
237 <table class="memname">
238 <tr>
239 <td class="memname">__kernel void pooling_layer_2 </td>
240 <td>(</td>
241 <td class="paramtype">__global uchar *&#160;</td>
242 <td class="paramname"><em>input_ptr</em>, </td>
243 </tr>
244 <tr>
245 <td class="paramkey"></td>
246 <td></td>
247 <td class="paramtype">uint&#160;</td>
248 <td class="paramname"><em>input_stride_x</em>, </td>
249 </tr>
250 <tr>
251 <td class="paramkey"></td>
252 <td></td>
253 <td class="paramtype">uint&#160;</td>
254 <td class="paramname"><em>input_step_x</em>, </td>
255 </tr>
256 <tr>
257 <td class="paramkey"></td>
258 <td></td>
259 <td class="paramtype">uint&#160;</td>
260 <td class="paramname"><em>input_stride_y</em>, </td>
261 </tr>
262 <tr>
263 <td class="paramkey"></td>
264 <td></td>
265 <td class="paramtype">uint&#160;</td>
266 <td class="paramname"><em>input_step_y</em>, </td>
267 </tr>
268 <tr>
269 <td class="paramkey"></td>
270 <td></td>
271 <td class="paramtype">uint&#160;</td>
272 <td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
273 </tr>
274 <tr>
275 <td class="paramkey"></td>
276 <td></td>
277 <td class="paramtype">__global uchar *&#160;</td>
278 <td class="paramname"><em>output_ptr</em>, </td>
279 </tr>
280 <tr>
281 <td class="paramkey"></td>
282 <td></td>
283 <td class="paramtype">uint&#160;</td>
284 <td class="paramname"><em>output_stride_x</em>, </td>
285 </tr>
286 <tr>
287 <td class="paramkey"></td>
288 <td></td>
289 <td class="paramtype">uint&#160;</td>
290 <td class="paramname"><em>output_step_x</em>, </td>
291 </tr>
292 <tr>
293 <td class="paramkey"></td>
294 <td></td>
295 <td class="paramtype">uint&#160;</td>
296 <td class="paramname"><em>output_stride_y</em>, </td>
297 </tr>
298 <tr>
299 <td class="paramkey"></td>
300 <td></td>
301 <td class="paramtype">uint&#160;</td>
302 <td class="paramname"><em>output_step_y</em>, </td>
303 </tr>
304 <tr>
305 <td class="paramkey"></td>
306 <td></td>
307 <td class="paramtype">uint&#160;</td>
308 <td class="paramname"><em>output_offset_first_element_in_bytes</em>, </td>
309 </tr>
310 <tr>
311 <td class="paramkey"></td>
312 <td></td>
313 <td class="paramtype">int2&#160;</td>
314 <td class="paramname"><em>max_dims</em>, </td>
315 </tr>
316 <tr>
317 <td class="paramkey"></td>
318 <td></td>
319 <td class="paramtype">int2&#160;</td>
320 <td class="paramname"><em>strides</em>, </td>
321 </tr>
322 <tr>
323 <td class="paramkey"></td>
324 <td></td>
325 <td class="paramtype">int2&#160;</td>
326 <td class="paramname"><em>paddings</em>&#160;</td>
327 </tr>
328 <tr>
329 <td></td>
330 <td>)</td>
331 <td></td><td></td>
332 </tr>
333 </table>
334</div><div class="memdoc">
335
336<p>Performs a pooling function of pool size equal to 2. </p>
337<dl class="section note"><dt>Note</dt><dd>Pooling stride must be passed using -DPOOL_STRIDE e.g -DPOOL_STRIDE=2. Supported strides are 1,2,3 </dd>
338<dd>
339Datatype must be passed using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types are F16, F32; </dd>
340<dd>
341In case of average pooling -DPOOL_AVG must be provided otherwise max pooling will be performed.</dd></dl>
342<dl class="params"><dt>Parameters</dt><dd>
343 <table class="params">
344 <tr><td class="paramdir">[in]</td><td class="paramname">input_ptr</td><td>Pointer to the source image. Supported data types: F16, F32 </td></tr>
345 <tr><td class="paramdir">[in]</td><td class="paramname">input_stride_x</td><td>Stride of the source image in X dimension (in bytes) </td></tr>
346 <tr><td class="paramdir">[in]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
347 <tr><td class="paramdir">[in]</td><td class="paramname">input_stride_y</td><td>Stride of the source image in Y dimension (in bytes) </td></tr>
348 <tr><td class="paramdir">[in]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
349 <tr><td class="paramdir">[in]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source image </td></tr>
350 <tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>Pointer to the destination image. Supported data types: F16, F32 </td></tr>
351 <tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>Stride of the destination image in X dimension (in bytes) </td></tr>
352 <tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
353 <tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>Stride of the destination image in Y dimension (in bytes) </td></tr>
354 <tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
355 <tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>The offset of the first element in the destination image </td></tr>
356 <tr><td class="paramdir">[in]</td><td class="paramname">max_dims</td><td>The maximum index that can be accessed in x and y dimension (width + pad) </td></tr>
357 <tr><td class="paramdir">[in]</td><td class="paramname">strides</td><td>The pooling operation strides in each dimension </td></tr>
358 <tr><td class="paramdir">[in]</td><td class="paramname">paddings</td><td>The pooling operation paddings in each dimension </td></tr>
359 </table>
360 </dd>
361</dl>
362
363<p>Definition at line <a class="el" href="pooling__layer_8cl_source.xhtml#l00064">64</a> of file <a class="el" href="pooling__layer_8cl_source.xhtml">pooling_layer.cl</a>.</p>
364
365<p>References <a class="el" href="pooling__layer_8cl_source.xhtml#l00032">calculate_avg_scale()</a>, <a class="el" href="helpers_8h_source.xhtml#l00073">CONVERT_TO_IMAGE_STRUCT</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00027">DATA_TYPE</a>, <a class="el" href="helpers_8h_source.xhtml#l00201">offset()</a>, <a class="el" href="pooling__layer_8cl_source.xhtml#l00027">POOL_OP</a>, <a class="el" href="helpers_8h_source.xhtml#l00097">Image::ptr</a>, and <a class="el" href="helpers_8h_source.xhtml#l00032">VEC_DATA_TYPE</a>.</p>
366<div class="fragment"><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="comment">// Get pixels pointer</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> input = <a class="code" href="helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(input);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> output = <a class="code" href="helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(output);</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="comment">// Load data</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; data0 = vload2(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;input, 0, 0));</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; data1 = vload2(0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;input, 0, 1));</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="comment">// Perform calculations</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; data0 = <a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(data0, data1);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; DATA_TYPE res = <a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(data0.s0, data0.s1);</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="comment">// Divide by 4 in case of average pooling</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;<span class="preprocessor">#ifdef POOL_AVG</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; res *= <a class="code" href="pooling__layer_8cl.xhtml#a60440813daa769d486c5786d52b91340">calculate_avg_scale</a>(2, max_dims.x, max_dims.y, paddings.x, paddings.y, strides.x, strides.y);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="comment">// Store result</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; *(__global DATA_TYPE *)output.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> = res;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;}</div><div class="ttc" id="pooling__layer_8cl_xhtml_a482ef7d59a5f474ca126e737c7f0978a"><div class="ttname"><a href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a></div><div class="ttdeci">#define POOL_OP(x, y)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer_8cl_source.xhtml#l00027">pooling_layer.cl:27</a></div></div>
367<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>
368<div class="ttc" id="pooling__layer_8cl_xhtml_a60440813daa769d486c5786d52b91340"><div class="ttname"><a href="pooling__layer_8cl.xhtml#a60440813daa769d486c5786d52b91340">calculate_avg_scale</a></div><div class="ttdeci">float calculate_avg_scale(const int pool_size, const int upper_bound_w, const int upper_bound_h, const int pad_x, const int pad_y, const int stride_x, const int stride_y)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer_8cl_source.xhtml#l00032">pooling_layer.cl:32</a></div></div>
369<div class="ttc" id="helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00201">helpers.h:201</a></div></div>
370<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>
371<div class="ttc" id="helpers_8h_xhtml_a36f754c05b6fddf6df0d8d0a74f8159f"><div class="ttname"><a href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a></div><div class="ttdeci">#define VEC_DATA_TYPE(type, size)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00032">helpers.h:32</a></div></div>
372<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>
373<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>
374</div><!-- fragment -->
375</div>
376</div>
377<a class="anchor" id="a0c8f47e252a2f3e9d9f2ba3bf197846b"></a>
378<div class="memitem">
379<div class="memproto">
380 <table class="memname">
381 <tr>
382 <td class="memname">__kernel void pooling_layer_3 </td>
383 <td>(</td>
384 <td class="paramtype">__global uchar *&#160;</td>
385 <td class="paramname"><em>input_ptr</em>, </td>
386 </tr>
387 <tr>
388 <td class="paramkey"></td>
389 <td></td>
390 <td class="paramtype">uint&#160;</td>
391 <td class="paramname"><em>input_stride_x</em>, </td>
392 </tr>
393 <tr>
394 <td class="paramkey"></td>
395 <td></td>
396 <td class="paramtype">uint&#160;</td>
397 <td class="paramname"><em>input_step_x</em>, </td>
398 </tr>
399 <tr>
400 <td class="paramkey"></td>
401 <td></td>
402 <td class="paramtype">uint&#160;</td>
403 <td class="paramname"><em>input_stride_y</em>, </td>
404 </tr>
405 <tr>
406 <td class="paramkey"></td>
407 <td></td>
408 <td class="paramtype">uint&#160;</td>
409 <td class="paramname"><em>input_step_y</em>, </td>
410 </tr>
411 <tr>
412 <td class="paramkey"></td>
413 <td></td>
414 <td class="paramtype">uint&#160;</td>
415 <td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
416 </tr>
417 <tr>
418 <td class="paramkey"></td>
419 <td></td>
420 <td class="paramtype">__global uchar *&#160;</td>
421 <td class="paramname"><em>output_ptr</em>, </td>
422 </tr>
423 <tr>
424 <td class="paramkey"></td>
425 <td></td>
426 <td class="paramtype">uint&#160;</td>
427 <td class="paramname"><em>output_stride_x</em>, </td>
428 </tr>
429 <tr>
430 <td class="paramkey"></td>
431 <td></td>
432 <td class="paramtype">uint&#160;</td>
433 <td class="paramname"><em>output_step_x</em>, </td>
434 </tr>
435 <tr>
436 <td class="paramkey"></td>
437 <td></td>
438 <td class="paramtype">uint&#160;</td>
439 <td class="paramname"><em>output_stride_y</em>, </td>
440 </tr>
441 <tr>
442 <td class="paramkey"></td>
443 <td></td>
444 <td class="paramtype">uint&#160;</td>
445 <td class="paramname"><em>output_step_y</em>, </td>
446 </tr>
447 <tr>
448 <td class="paramkey"></td>
449 <td></td>
450 <td class="paramtype">uint&#160;</td>
451 <td class="paramname"><em>output_offset_first_element_in_bytes</em>, </td>
452 </tr>
453 <tr>
454 <td class="paramkey"></td>
455 <td></td>
456 <td class="paramtype">int2&#160;</td>
457 <td class="paramname"><em>max_dims</em>, </td>
458 </tr>
459 <tr>
460 <td class="paramkey"></td>
461 <td></td>
462 <td class="paramtype">int2&#160;</td>
463 <td class="paramname"><em>strides</em>, </td>
464 </tr>
465 <tr>
466 <td class="paramkey"></td>
467 <td></td>
468 <td class="paramtype">int2&#160;</td>
469 <td class="paramname"><em>paddings</em>&#160;</td>
470 </tr>
471 <tr>
472 <td></td>
473 <td>)</td>
474 <td></td><td></td>
475 </tr>
476 </table>
477</div><div class="memdoc">
478
479<p>Performs a pooling function of pool size equal to 3. </p>
480<dl class="section note"><dt>Note</dt><dd>Pooling stride must be passed using -DPOOL_STRIDE e.g -DPOOL_STRIDE=2. Supported strides are 1,2,3 </dd>
481<dd>
482Datatype must be passed using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types are F16, F32; </dd>
483<dd>
484In case of average pooling -DPOOL_AVG must be provided otherwise max pooling will be performed.</dd></dl>
485<dl class="params"><dt>Parameters</dt><dd>
486 <table class="params">
487 <tr><td class="paramdir">[in]</td><td class="paramname">input_ptr</td><td>Pointer to the source image. Supported data types: F16, F32 </td></tr>
488 <tr><td class="paramdir">[in]</td><td class="paramname">input_stride_x</td><td>Stride of the source image in X dimension (in bytes) </td></tr>
489 <tr><td class="paramdir">[in]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
490 <tr><td class="paramdir">[in]</td><td class="paramname">input_stride_y</td><td>Stride of the source image in Y dimension (in bytes) </td></tr>
491 <tr><td class="paramdir">[in]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
492 <tr><td class="paramdir">[in]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source image </td></tr>
493 <tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>Pointer to the destination image. Supported data types: F16, F32 </td></tr>
494 <tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>Stride of the destination image in X dimension (in bytes) </td></tr>
495 <tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
496 <tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>Stride of the destination image in Y dimension (in bytes) </td></tr>
497 <tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
498 <tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>The offset of the first element in the destination image </td></tr>
499 <tr><td class="paramdir">[in]</td><td class="paramname">max_dims</td><td>The maximum index that can be accessed in x and y dimension (width + pad) </td></tr>
500 <tr><td class="paramdir">[in]</td><td class="paramname">strides</td><td>The pooling operation strides in each dimension </td></tr>
501 <tr><td class="paramdir">[in]</td><td class="paramname">paddings</td><td>The pooling operation paddings in each dimension </td></tr>
502 </table>
503 </dd>
504</dl>
505
506<p>Definition at line <a class="el" href="pooling__layer_8cl_source.xhtml#l00118">118</a> of file <a class="el" href="pooling__layer_8cl_source.xhtml">pooling_layer.cl</a>.</p>
507
508<p>References <a class="el" href="pooling__layer_8cl_source.xhtml#l00032">calculate_avg_scale()</a>, <a class="el" href="helpers_8h_source.xhtml#l00073">CONVERT_TO_IMAGE_STRUCT</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00027">DATA_TYPE</a>, <a class="el" href="helpers_8h_source.xhtml#l00201">offset()</a>, <a class="el" href="pooling__layer_8cl_source.xhtml#l00027">POOL_OP</a>, <a class="el" href="helpers_8h_source.xhtml#l00097">Image::ptr</a>, and <a class="el" href="helpers_8h_source.xhtml#l00032">VEC_DATA_TYPE</a>.</p>
509<div class="fragment"><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;{</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> input = <a class="code" href="helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(input);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> output = <a class="code" href="helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(output);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="comment">// Load data</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 3)</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; data0 = vload3(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;input, 0, 0));</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 3)</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; data1 = vload3(0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;input, 0, 1));</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 3)</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; data2 = vload3(0, (__global DATA_TYPE *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;input, 0, 2));</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">// Perform calculations</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; data0 = <a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(data0, data1);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; data0 = <a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(data0, data2);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; DATA_TYPE res = <a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(<a class="code" href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(data0.s0, data0.s1), data0.s2);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="comment">// Divide by 4 in case of average pooling</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160;<span class="preprocessor">#ifdef POOL_AVG</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; res *= <a class="code" href="pooling__layer_8cl.xhtml#a60440813daa769d486c5786d52b91340">calculate_avg_scale</a>(3, max_dims.x, max_dims.y, paddings.x, paddings.y, strides.x, strides.y);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <span class="comment">// Store result</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; *(__global DATA_TYPE *)output.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> = res;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;}</div><div class="ttc" id="pooling__layer_8cl_xhtml_a482ef7d59a5f474ca126e737c7f0978a"><div class="ttname"><a href="pooling__layer_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a></div><div class="ttdeci">#define POOL_OP(x, y)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer_8cl_source.xhtml#l00027">pooling_layer.cl:27</a></div></div>
510<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>
511<div class="ttc" id="pooling__layer_8cl_xhtml_a60440813daa769d486c5786d52b91340"><div class="ttname"><a href="pooling__layer_8cl.xhtml#a60440813daa769d486c5786d52b91340">calculate_avg_scale</a></div><div class="ttdeci">float calculate_avg_scale(const int pool_size, const int upper_bound_w, const int upper_bound_h, const int pad_x, const int pad_y, const int stride_x, const int stride_y)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer_8cl_source.xhtml#l00032">pooling_layer.cl:32</a></div></div>
512<div class="ttc" id="helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00201">helpers.h:201</a></div></div>
513<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>
514<div class="ttc" id="helpers_8h_xhtml_a36f754c05b6fddf6df0d8d0a74f8159f"><div class="ttname"><a href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a></div><div class="ttdeci">#define VEC_DATA_TYPE(type, size)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00032">helpers.h:32</a></div></div>
515<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>
516<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>
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Anthony Barbier46d59272017-05-04 09:15:15 +0100[diff] [blame]526 <li class="footer">Generated on Wed May 3 2017 17:20:04 for ARM Compute Library by
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528 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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