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114<div class="header">
115 <div class="summary">
116<a href="#func-members">Functions</a> </div>
117 <div class="headertitle">
118<div class="title">normalization_layer.cl File Reference</div> </div>
119</div><!--header-->
120<div class="contents">
121<div class="textblock"><code>#include &quot;<a class="el" href="helpers_8h_source.xhtml">helpers.h</a>&quot;</code><br />
122</div>
123<p><a href="normalization__layer_8cl_source.xhtml">Go to the source code of this file.</a></p>
124<table class="memberdecls">
125<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
126Functions</h2></td></tr>
127<tr class="memitem:a904c8d1ee4f70e0a7ac448f24fadc64f"><td class="memItemLeft" align="right" valign="top">__kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="normalization__layer_8cl.xhtml#a904c8d1ee4f70e0a7ac448f24fadc64f">normalization_layer_cross_map</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *squared_input_ptr, uint squared_input_stride_x, uint squared_input_step_x, uint squared_input_stride_y, uint squared_input_step_y, uint squared_input_stride_z, uint squared_input_step_z, uint squared_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_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes, float coeff, float beta, float kappa, uint radius)</td></tr>
128<tr class="memdesc:a904c8d1ee4f70e0a7ac448f24fadc64f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Apply cross map normalization. <a href="#a904c8d1ee4f70e0a7ac448f24fadc64f">More...</a><br /></td></tr>
129<tr class="separator:a904c8d1ee4f70e0a7ac448f24fadc64f"><td class="memSeparator" colspan="2">&#160;</td></tr>
130<tr class="memitem:a044ad0744b887f4e4226b19c79b29948"><td class="memItemLeft" align="right" valign="top">__kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="normalization__layer_8cl.xhtml#a044ad0744b887f4e4226b19c79b29948">normalization_layer_in_map</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *squared_input_ptr, uint squared_input_stride_x, uint squared_input_step_x, uint squared_input_stride_y, uint squared_input_step_y, uint squared_input_stride_z, uint squared_input_step_z, uint squared_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_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes, float coeff, float beta, float kappa, uint radius)</td></tr>
131<tr class="memdesc:a044ad0744b887f4e4226b19c79b29948"><td class="mdescLeft">&#160;</td><td class="mdescRight">Apply in map normalization. <a href="#a044ad0744b887f4e4226b19c79b29948">More...</a><br /></td></tr>
132<tr class="separator:a044ad0744b887f4e4226b19c79b29948"><td class="memSeparator" colspan="2">&#160;</td></tr>
133</table>
134<h2 class="groupheader">Function Documentation</h2>
135<a class="anchor" id="a904c8d1ee4f70e0a7ac448f24fadc64f"></a>
136<div class="memitem">
137<div class="memproto">
138 <table class="memname">
139 <tr>
140 <td class="memname">__kernel void normalization_layer_cross_map </td>
141 <td>(</td>
142 <td class="paramtype">__global uchar *&#160;</td>
143 <td class="paramname"><em>input_ptr</em>, </td>
144 </tr>
145 <tr>
146 <td class="paramkey"></td>
147 <td></td>
148 <td class="paramtype">uint&#160;</td>
149 <td class="paramname"><em>input_stride_x</em>, </td>
150 </tr>
151 <tr>
152 <td class="paramkey"></td>
153 <td></td>
154 <td class="paramtype">uint&#160;</td>
155 <td class="paramname"><em>input_step_x</em>, </td>
156 </tr>
157 <tr>
158 <td class="paramkey"></td>
159 <td></td>
160 <td class="paramtype">uint&#160;</td>
161 <td class="paramname"><em>input_stride_y</em>, </td>
162 </tr>
163 <tr>
164 <td class="paramkey"></td>
165 <td></td>
166 <td class="paramtype">uint&#160;</td>
167 <td class="paramname"><em>input_step_y</em>, </td>
168 </tr>
169 <tr>
170 <td class="paramkey"></td>
171 <td></td>
172 <td class="paramtype">uint&#160;</td>
173 <td class="paramname"><em>input_stride_z</em>, </td>
174 </tr>
175 <tr>
176 <td class="paramkey"></td>
177 <td></td>
178 <td class="paramtype">uint&#160;</td>
179 <td class="paramname"><em>input_step_z</em>, </td>
180 </tr>
181 <tr>
182 <td class="paramkey"></td>
183 <td></td>
184 <td class="paramtype">uint&#160;</td>
185 <td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
186 </tr>
187 <tr>
188 <td class="paramkey"></td>
189 <td></td>
190 <td class="paramtype">__global uchar *&#160;</td>
191 <td class="paramname"><em>squared_input_ptr</em>, </td>
192 </tr>
193 <tr>
194 <td class="paramkey"></td>
195 <td></td>
196 <td class="paramtype">uint&#160;</td>
197 <td class="paramname"><em>squared_input_stride_x</em>, </td>
198 </tr>
199 <tr>
200 <td class="paramkey"></td>
201 <td></td>
202 <td class="paramtype">uint&#160;</td>
203 <td class="paramname"><em>squared_input_step_x</em>, </td>
204 </tr>
205 <tr>
206 <td class="paramkey"></td>
207 <td></td>
208 <td class="paramtype">uint&#160;</td>
209 <td class="paramname"><em>squared_input_stride_y</em>, </td>
210 </tr>
211 <tr>
212 <td class="paramkey"></td>
213 <td></td>
214 <td class="paramtype">uint&#160;</td>
215 <td class="paramname"><em>squared_input_step_y</em>, </td>
216 </tr>
217 <tr>
218 <td class="paramkey"></td>
219 <td></td>
220 <td class="paramtype">uint&#160;</td>
221 <td class="paramname"><em>squared_input_stride_z</em>, </td>
222 </tr>
223 <tr>
224 <td class="paramkey"></td>
225 <td></td>
226 <td class="paramtype">uint&#160;</td>
227 <td class="paramname"><em>squared_input_step_z</em>, </td>
228 </tr>
229 <tr>
230 <td class="paramkey"></td>
231 <td></td>
232 <td class="paramtype">uint&#160;</td>
233 <td class="paramname"><em>squared_input_offset_first_element_in_bytes</em>, </td>
234 </tr>
235 <tr>
236 <td class="paramkey"></td>
237 <td></td>
238 <td class="paramtype">__global uchar *&#160;</td>
239 <td class="paramname"><em>output_ptr</em>, </td>
240 </tr>
241 <tr>
242 <td class="paramkey"></td>
243 <td></td>
244 <td class="paramtype">uint&#160;</td>
245 <td class="paramname"><em>output_stride_x</em>, </td>
246 </tr>
247 <tr>
248 <td class="paramkey"></td>
249 <td></td>
250 <td class="paramtype">uint&#160;</td>
251 <td class="paramname"><em>output_step_x</em>, </td>
252 </tr>
253 <tr>
254 <td class="paramkey"></td>
255 <td></td>
256 <td class="paramtype">uint&#160;</td>
257 <td class="paramname"><em>output_stride_y</em>, </td>
258 </tr>
259 <tr>
260 <td class="paramkey"></td>
261 <td></td>
262 <td class="paramtype">uint&#160;</td>
263 <td class="paramname"><em>output_step_y</em>, </td>
264 </tr>
265 <tr>
266 <td class="paramkey"></td>
267 <td></td>
268 <td class="paramtype">uint&#160;</td>
269 <td class="paramname"><em>output_stride_z</em>, </td>
270 </tr>
271 <tr>
272 <td class="paramkey"></td>
273 <td></td>
274 <td class="paramtype">uint&#160;</td>
275 <td class="paramname"><em>output_step_z</em>, </td>
276 </tr>
277 <tr>
278 <td class="paramkey"></td>
279 <td></td>
280 <td class="paramtype">uint&#160;</td>
281 <td class="paramname"><em>output_offset_first_element_in_bytes</em>, </td>
282 </tr>
283 <tr>
284 <td class="paramkey"></td>
285 <td></td>
286 <td class="paramtype">float&#160;</td>
287 <td class="paramname"><em>coeff</em>, </td>
288 </tr>
289 <tr>
290 <td class="paramkey"></td>
291 <td></td>
292 <td class="paramtype">float&#160;</td>
293 <td class="paramname"><em>beta</em>, </td>
294 </tr>
295 <tr>
296 <td class="paramkey"></td>
297 <td></td>
298 <td class="paramtype">float&#160;</td>
299 <td class="paramname"><em>kappa</em>, </td>
300 </tr>
301 <tr>
302 <td class="paramkey"></td>
303 <td></td>
304 <td class="paramtype">uint&#160;</td>
305 <td class="paramname"><em>radius</em>&#160;</td>
306 </tr>
307 <tr>
308 <td></td>
309 <td>)</td>
310 <td></td><td></td>
311 </tr>
312 </table>
313</div><div class="memdoc">
314
315<p>Apply cross map normalization. </p>
316<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>
317<dl class="params"><dt>Parameters</dt><dd>
318 <table class="params">
319 <tr><td class="paramdir">[in]</td><td class="paramname">input_ptr</td><td>Pointer to the first source tensor. Supported data types: F16, F32 </td></tr>
320 <tr><td class="paramdir">[in]</td><td class="paramname">input_stride_x</td><td>Stride of the first source tensor in X dimension (in bytes) </td></tr>
321 <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>
322 <tr><td class="paramdir">[in]</td><td class="paramname">input_stride_y</td><td>Stride of the first source tensor in Y dimension (in bytes) </td></tr>
323 <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>
324 <tr><td class="paramdir">[in]</td><td class="paramname">input_stride_z</td><td>Stride of the first source tensor in Z dimension (in bytes) </td></tr>
325 <tr><td class="paramdir">[in]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
326 <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 first source tensor </td></tr>
327 <tr><td class="paramdir">[in]</td><td class="paramname">squared_input_ptr</td><td>Pointer to the second source tensor. Supported data types: F16, F32 </td></tr>
328 <tr><td class="paramdir">[in]</td><td class="paramname">squared_input_stride_x</td><td>Stride of the second source tensor in X dimension (in bytes) </td></tr>
329 <tr><td class="paramdir">[in]</td><td class="paramname">squared_input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
330 <tr><td class="paramdir">[in]</td><td class="paramname">squared_input_stride_y</td><td>Stride of the second source tensor in Y dimension (in bytes) </td></tr>
331 <tr><td class="paramdir">[in]</td><td class="paramname">squared_input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
332 <tr><td class="paramdir">[in]</td><td class="paramname">squared_input_stride_z</td><td>Stride of the second source tensor in Z dimension (in bytes) </td></tr>
333 <tr><td class="paramdir">[in]</td><td class="paramname">squared_input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
334 <tr><td class="paramdir">[in]</td><td class="paramname">squared_input_offset_first_element_in_bytes</td><td>The offset of the second element in the second source tensor </td></tr>
335 <tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>Pointer to the destination tensor. Supported data types: F16, F32 </td></tr>
336 <tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>Stride of the destination tensor in X dimension (in bytes) </td></tr>
337 <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>
338 <tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>Stride of the destination tensor in Y dimension (in bytes) </td></tr>
339 <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>
340 <tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>Stride of the destination tensor in Z dimension (in bytes) </td></tr>
341 <tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
342 <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 tensor </td></tr>
343 <tr><td class="paramdir">[in]</td><td class="paramname">coeff</td><td>Alpha parameter / norm_size </td></tr>
344 <tr><td class="paramdir">[in]</td><td class="paramname">beta</td><td>Beta parameter in the normalization equation </td></tr>
345 <tr><td class="paramdir">[in]</td><td class="paramname">kappa</td><td>Kappa parameter in the normalization equation </td></tr>
346 <tr><td class="paramdir">[in]</td><td class="paramname">radius</td><td>Number of elements on the right or left side to normalize across </td></tr>
347 </table>
348 </dd>
349</dl>
350
351<p>Definition at line <a class="el" href="normalization__layer_8cl_source.xhtml#l00059">59</a> of file <a class="el" href="normalization__layer_8cl_source.xhtml">normalization_layer.cl</a>.</p>
352
353<p>References <a class="el" href="helpers_8h_source.xhtml#l00035">CONVERT</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#l00106">Tensor3D::ptr</a>, and <a class="el" href="helpers_8h_source.xhtml#l00213">tensor3D_offset()</a>.</p>
354<div class="fragment"><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;{</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> in = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> squared_in = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(squared_input);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> out = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(output);</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; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> acc = 0;</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="keyword">const</span> <span class="keywordtype">int</span> num_of_slices = get_global_size(2);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> current_slice = get_global_id(2);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> left_slice = max(current_slice - (<span class="keywordtype">int</span>)radius, (<span class="keywordtype">int</span>)0);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> right_slice = min(current_slice + (<span class="keywordtype">int</span>)radius, (<span class="keywordtype">int</span>)(num_of_slices - 1));</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = left_slice; i &lt;= right_slice; i++)</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; {</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; acc += *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;squared_in, 0, 0, i - current_slice);</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;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> normalized = pow(kappa + coeff * (<span class="keywordtype">float</span>)acc, beta);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> normalized_pixel = (float) * ((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)in.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>) / normalized;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> = <a class="code" href="helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(normalized_pixel, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</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>
355<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>
356<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>
357<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>
358<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>
359<div class="ttc" id="helpers_8h_xhtml_aa8d95ba04fc73845abc6045952cae5be"><div class="ttname"><a href="helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a></div><div class="ttdeci">#define CONVERT(x, type)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00035">helpers.h:35</a></div></div>
360</div><!-- fragment -->
361</div>
362</div>
363<a class="anchor" id="a044ad0744b887f4e4226b19c79b29948"></a>
364<div class="memitem">
365<div class="memproto">
366 <table class="memname">
367 <tr>
368 <td class="memname">__kernel void normalization_layer_in_map </td>
369 <td>(</td>
370 <td class="paramtype">__global uchar *&#160;</td>
371 <td class="paramname"><em>input_ptr</em>, </td>
372 </tr>
373 <tr>
374 <td class="paramkey"></td>
375 <td></td>
376 <td class="paramtype">uint&#160;</td>
377 <td class="paramname"><em>input_stride_x</em>, </td>
378 </tr>
379 <tr>
380 <td class="paramkey"></td>
381 <td></td>
382 <td class="paramtype">uint&#160;</td>
383 <td class="paramname"><em>input_step_x</em>, </td>
384 </tr>
385 <tr>
386 <td class="paramkey"></td>
387 <td></td>
388 <td class="paramtype">uint&#160;</td>
389 <td class="paramname"><em>input_stride_y</em>, </td>
390 </tr>
391 <tr>
392 <td class="paramkey"></td>
393 <td></td>
394 <td class="paramtype">uint&#160;</td>
395 <td class="paramname"><em>input_step_y</em>, </td>
396 </tr>
397 <tr>
398 <td class="paramkey"></td>
399 <td></td>
400 <td class="paramtype">uint&#160;</td>
401 <td class="paramname"><em>input_stride_z</em>, </td>
402 </tr>
403 <tr>
404 <td class="paramkey"></td>
405 <td></td>
406 <td class="paramtype">uint&#160;</td>
407 <td class="paramname"><em>input_step_z</em>, </td>
408 </tr>
409 <tr>
410 <td class="paramkey"></td>
411 <td></td>
412 <td class="paramtype">uint&#160;</td>
413 <td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
414 </tr>
415 <tr>
416 <td class="paramkey"></td>
417 <td></td>
418 <td class="paramtype">__global uchar *&#160;</td>
419 <td class="paramname"><em>squared_input_ptr</em>, </td>
420 </tr>
421 <tr>
422 <td class="paramkey"></td>
423 <td></td>
424 <td class="paramtype">uint&#160;</td>
425 <td class="paramname"><em>squared_input_stride_x</em>, </td>
426 </tr>
427 <tr>
428 <td class="paramkey"></td>
429 <td></td>
430 <td class="paramtype">uint&#160;</td>
431 <td class="paramname"><em>squared_input_step_x</em>, </td>
432 </tr>
433 <tr>
434 <td class="paramkey"></td>
435 <td></td>
436 <td class="paramtype">uint&#160;</td>
437 <td class="paramname"><em>squared_input_stride_y</em>, </td>
438 </tr>
439 <tr>
440 <td class="paramkey"></td>
441 <td></td>
442 <td class="paramtype">uint&#160;</td>
443 <td class="paramname"><em>squared_input_step_y</em>, </td>
444 </tr>
445 <tr>
446 <td class="paramkey"></td>
447 <td></td>
448 <td class="paramtype">uint&#160;</td>
449 <td class="paramname"><em>squared_input_stride_z</em>, </td>
450 </tr>
451 <tr>
452 <td class="paramkey"></td>
453 <td></td>
454 <td class="paramtype">uint&#160;</td>
455 <td class="paramname"><em>squared_input_step_z</em>, </td>
456 </tr>
457 <tr>
458 <td class="paramkey"></td>
459 <td></td>
460 <td class="paramtype">uint&#160;</td>
461 <td class="paramname"><em>squared_input_offset_first_element_in_bytes</em>, </td>
462 </tr>
463 <tr>
464 <td class="paramkey"></td>
465 <td></td>
466 <td class="paramtype">__global uchar *&#160;</td>
467 <td class="paramname"><em>output_ptr</em>, </td>
468 </tr>
469 <tr>
470 <td class="paramkey"></td>
471 <td></td>
472 <td class="paramtype">uint&#160;</td>
473 <td class="paramname"><em>output_stride_x</em>, </td>
474 </tr>
475 <tr>
476 <td class="paramkey"></td>
477 <td></td>
478 <td class="paramtype">uint&#160;</td>
479 <td class="paramname"><em>output_step_x</em>, </td>
480 </tr>
481 <tr>
482 <td class="paramkey"></td>
483 <td></td>
484 <td class="paramtype">uint&#160;</td>
485 <td class="paramname"><em>output_stride_y</em>, </td>
486 </tr>
487 <tr>
488 <td class="paramkey"></td>
489 <td></td>
490 <td class="paramtype">uint&#160;</td>
491 <td class="paramname"><em>output_step_y</em>, </td>
492 </tr>
493 <tr>
494 <td class="paramkey"></td>
495 <td></td>
496 <td class="paramtype">uint&#160;</td>
497 <td class="paramname"><em>output_stride_z</em>, </td>
498 </tr>
499 <tr>
500 <td class="paramkey"></td>
501 <td></td>
502 <td class="paramtype">uint&#160;</td>
503 <td class="paramname"><em>output_step_z</em>, </td>
504 </tr>
505 <tr>
506 <td class="paramkey"></td>
507 <td></td>
508 <td class="paramtype">uint&#160;</td>
509 <td class="paramname"><em>output_offset_first_element_in_bytes</em>, </td>
510 </tr>
511 <tr>
512 <td class="paramkey"></td>
513 <td></td>
514 <td class="paramtype">float&#160;</td>
515 <td class="paramname"><em>coeff</em>, </td>
516 </tr>
517 <tr>
518 <td class="paramkey"></td>
519 <td></td>
520 <td class="paramtype">float&#160;</td>
521 <td class="paramname"><em>beta</em>, </td>
522 </tr>
523 <tr>
524 <td class="paramkey"></td>
525 <td></td>
526 <td class="paramtype">float&#160;</td>
527 <td class="paramname"><em>kappa</em>, </td>
528 </tr>
529 <tr>
530 <td class="paramkey"></td>
531 <td></td>
532 <td class="paramtype">uint&#160;</td>
533 <td class="paramname"><em>radius</em>&#160;</td>
534 </tr>
535 <tr>
536 <td></td>
537 <td>)</td>
538 <td></td><td></td>
539 </tr>
540 </table>
541</div><div class="memdoc">
542
543<p>Apply in map normalization. </p>
544<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>
545<dl class="params"><dt>Parameters</dt><dd>
546 <table class="params">
547 <tr><td class="paramdir">[in]</td><td class="paramname">input_ptr</td><td>Pointer to the first source tensor. Supported data types: F16, F32 </td></tr>
548 <tr><td class="paramdir">[in]</td><td class="paramname">input_stride_x</td><td>Stride of the first source tensor in X dimension (in bytes) </td></tr>
549 <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>
550 <tr><td class="paramdir">[in]</td><td class="paramname">input_stride_y</td><td>Stride of the first source tensor in Y dimension (in bytes) </td></tr>
551 <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>
552 <tr><td class="paramdir">[in]</td><td class="paramname">input_stride_z</td><td>Stride of the first source tensor in Z dimension (in bytes) </td></tr>
553 <tr><td class="paramdir">[in]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
554 <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 first source tensor </td></tr>
555 <tr><td class="paramdir">[in]</td><td class="paramname">squared_input_ptr</td><td>Pointer to the second source tensor. Supported data types: F16, F32 </td></tr>
556 <tr><td class="paramdir">[in]</td><td class="paramname">squared_input_stride_x</td><td>Stride of the second source tensor in X dimension (in bytes) </td></tr>
557 <tr><td class="paramdir">[in]</td><td class="paramname">squared_input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
558 <tr><td class="paramdir">[in]</td><td class="paramname">squared_input_stride_y</td><td>Stride of the second source tensor in Y dimension (in bytes) </td></tr>
559 <tr><td class="paramdir">[in]</td><td class="paramname">squared_input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
560 <tr><td class="paramdir">[in]</td><td class="paramname">squared_input_stride_z</td><td>Stride of the second source tensor in Z dimension (in bytes) </td></tr>
561 <tr><td class="paramdir">[in]</td><td class="paramname">squared_input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
562 <tr><td class="paramdir">[in]</td><td class="paramname">squared_input_offset_first_element_in_bytes</td><td>The offset of the second element in the second source tensor </td></tr>
563 <tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>Pointer to the destination tensor. Supported data types: F16, F32 </td></tr>
564 <tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>Stride of the destination tensor in X dimension (in bytes) </td></tr>
565 <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>
566 <tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>Stride of the first destination tensor in Y dimension (in bytes) </td></tr>
567 <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>
568 <tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>Stride of the first source tensor in Z dimension (in bytes) </td></tr>
569 <tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
570 <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 tensor </td></tr>
571 <tr><td class="paramdir">[in]</td><td class="paramname">coeff</td><td>Alpha parameter / norm_size </td></tr>
572 <tr><td class="paramdir">[in]</td><td class="paramname">beta</td><td>Beta parameter in the normalization equation </td></tr>
573 <tr><td class="paramdir">[in]</td><td class="paramname">kappa</td><td>Kappa parameter in the normalization equation </td></tr>
574 <tr><td class="paramdir">[in]</td><td class="paramname">radius</td><td>Number of elements on the right or left side to normalize across </td></tr>
575 </table>
576 </dd>
577</dl>
578
579<p>Definition at line <a class="el" href="normalization__layer_8cl_source.xhtml#l00124">124</a> of file <a class="el" href="normalization__layer_8cl_source.xhtml">normalization_layer.cl</a>.</p>
580
581<p>References <a class="el" href="helpers_8h_source.xhtml#l00035">CONVERT</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#l00106">Tensor3D::ptr</a>, <a class="el" href="helpers_8h_source.xhtml#l00213">tensor3D_offset()</a>, and <a class="el" href="helpers_8h_source.xhtml#l00032">VEC_DATA_TYPE</a>.</p>
582<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> in = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> squared_in = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(squared_input);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> out = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(output);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160;</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>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; acc_vec = 0;</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; const <span class="keywordtype">int</span> current_pos = get_global_id(0) &lt;&lt; 2;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; const <span class="keywordtype">int</span> left_pos = max(current_pos - (<span class="keywordtype">int</span>)radius, -3);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; const <span class="keywordtype">int</span> right_pos = min(current_pos + (<span class="keywordtype">int</span>)radius, (<span class="keywordtype">int</span>)((get_global_size(0) &lt;&lt; 2) + 3 - 1));</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; for(<span class="keywordtype">int</span> i = left_pos; i &lt;= right_pos; i += 1)</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; acc_vec += vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;squared_in, i - current_pos, 0, 0));</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;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <span class="keyword">const</span> float4 normalized = pow((float4)kappa + coeff * (float4)acc_vec, beta);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <span class="keyword">const</span> float4 normalized_pixel = <a class="code" href="helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)in.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>), float4) / normalized;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; vstore4(<a class="code" href="helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(normalized_pixel, <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</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>
583<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>
584<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>
585<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>
586<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>
587<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>
588<div class="ttc" id="helpers_8h_xhtml_aa8d95ba04fc73845abc6045952cae5be"><div class="ttname"><a href="helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a></div><div class="ttdeci">#define CONVERT(x, type)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00035">helpers.h:35</a></div></div>
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