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gerrit-public.fairphone.software / platform / external / ComputeLibrary / dbdab85d6e0f96d3361a9e30310367d89953466c / . / documentation / batchnormalization__layer_8cl.xhtml
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119<div class="title">batchnormalization_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="batchnormalization__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>
128<tr class="memitem:a38320a1607c05acba75c51c0fb3aec38"><td class="memItemLeft" align="right" valign="top">__kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="batchnormalization__layer_8cl.xhtml#a38320a1607c05acba75c51c0fb3aec38">batchnormalization_layer</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 *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, __global uchar *mean_ptr, uint mean_stride_x, uint mean_step_x, uint mean_offset_first_element_in_bytes, __global uchar *var_ptr, uint var_stride_x, uint var_step_x, uint var_offset_first_element_in_bytes, __global uchar *beta_ptr, uint beta_stride_x, uint beta_step_x, uint beta_offset_first_element_in_bytes, __global uchar *gamma_ptr, uint gamma_stride_x, uint gamma_step_x, uint gamma_offset_first_element_in_bytes, float epsilon)</td></tr>
129<tr class="memdesc:a38320a1607c05acba75c51c0fb3aec38"><td class="mdescLeft">&#160;</td><td class="mdescRight">Apply batch normalization. <a href="#a38320a1607c05acba75c51c0fb3aec38">More...</a><br /></td></tr>
130<tr class="separator:a38320a1607c05acba75c51c0fb3aec38"><td class="memSeparator" colspan="2">&#160;</td></tr>
131</table>
132<h2 class="groupheader">Function Documentation</h2>
133<a class="anchor" id="a38320a1607c05acba75c51c0fb3aec38"></a>
134<div class="memitem">
135<div class="memproto">
136 <table class="memname">
137 <tr>
138 <td class="memname">__kernel void batchnormalization_layer </td>
139 <td>(</td>
140 <td class="paramtype">__global uchar *&#160;</td>
141 <td class="paramname"><em>input_ptr</em>, </td>
142 </tr>
143 <tr>
144 <td class="paramkey"></td>
145 <td></td>
146 <td class="paramtype">uint&#160;</td>
147 <td class="paramname"><em>input_stride_x</em>, </td>
148 </tr>
149 <tr>
150 <td class="paramkey"></td>
151 <td></td>
152 <td class="paramtype">uint&#160;</td>
153 <td class="paramname"><em>input_step_x</em>, </td>
154 </tr>
155 <tr>
156 <td class="paramkey"></td>
157 <td></td>
158 <td class="paramtype">uint&#160;</td>
159 <td class="paramname"><em>input_stride_y</em>, </td>
160 </tr>
161 <tr>
162 <td class="paramkey"></td>
163 <td></td>
164 <td class="paramtype">uint&#160;</td>
165 <td class="paramname"><em>input_step_y</em>, </td>
166 </tr>
167 <tr>
168 <td class="paramkey"></td>
169 <td></td>
170 <td class="paramtype">uint&#160;</td>
171 <td class="paramname"><em>input_stride_z</em>, </td>
172 </tr>
173 <tr>
174 <td class="paramkey"></td>
175 <td></td>
176 <td class="paramtype">uint&#160;</td>
177 <td class="paramname"><em>input_step_z</em>, </td>
178 </tr>
179 <tr>
180 <td class="paramkey"></td>
181 <td></td>
182 <td class="paramtype">uint&#160;</td>
183 <td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
184 </tr>
185 <tr>
186 <td class="paramkey"></td>
187 <td></td>
188 <td class="paramtype">__global uchar *&#160;</td>
189 <td class="paramname"><em>output_ptr</em>, </td>
190 </tr>
191 <tr>
192 <td class="paramkey"></td>
193 <td></td>
194 <td class="paramtype">uint&#160;</td>
195 <td class="paramname"><em>output_stride_x</em>, </td>
196 </tr>
197 <tr>
198 <td class="paramkey"></td>
199 <td></td>
200 <td class="paramtype">uint&#160;</td>
201 <td class="paramname"><em>output_step_x</em>, </td>
202 </tr>
203 <tr>
204 <td class="paramkey"></td>
205 <td></td>
206 <td class="paramtype">uint&#160;</td>
207 <td class="paramname"><em>output_stride_y</em>, </td>
208 </tr>
209 <tr>
210 <td class="paramkey"></td>
211 <td></td>
212 <td class="paramtype">uint&#160;</td>
213 <td class="paramname"><em>output_step_y</em>, </td>
214 </tr>
215 <tr>
216 <td class="paramkey"></td>
217 <td></td>
218 <td class="paramtype">uint&#160;</td>
219 <td class="paramname"><em>output_stride_z</em>, </td>
220 </tr>
221 <tr>
222 <td class="paramkey"></td>
223 <td></td>
224 <td class="paramtype">uint&#160;</td>
225 <td class="paramname"><em>output_step_z</em>, </td>
226 </tr>
227 <tr>
228 <td class="paramkey"></td>
229 <td></td>
230 <td class="paramtype">uint&#160;</td>
231 <td class="paramname"><em>output_offset_first_element_in_bytes</em>, </td>
232 </tr>
233 <tr>
234 <td class="paramkey"></td>
235 <td></td>
236 <td class="paramtype">__global uchar *&#160;</td>
237 <td class="paramname"><em>mean_ptr</em>, </td>
238 </tr>
239 <tr>
240 <td class="paramkey"></td>
241 <td></td>
242 <td class="paramtype">uint&#160;</td>
243 <td class="paramname"><em>mean_stride_x</em>, </td>
244 </tr>
245 <tr>
246 <td class="paramkey"></td>
247 <td></td>
248 <td class="paramtype">uint&#160;</td>
249 <td class="paramname"><em>mean_step_x</em>, </td>
250 </tr>
251 <tr>
252 <td class="paramkey"></td>
253 <td></td>
254 <td class="paramtype">uint&#160;</td>
255 <td class="paramname"><em>mean_offset_first_element_in_bytes</em>, </td>
256 </tr>
257 <tr>
258 <td class="paramkey"></td>
259 <td></td>
260 <td class="paramtype">__global uchar *&#160;</td>
261 <td class="paramname"><em>var_ptr</em>, </td>
262 </tr>
263 <tr>
264 <td class="paramkey"></td>
265 <td></td>
266 <td class="paramtype">uint&#160;</td>
267 <td class="paramname"><em>var_stride_x</em>, </td>
268 </tr>
269 <tr>
270 <td class="paramkey"></td>
271 <td></td>
272 <td class="paramtype">uint&#160;</td>
273 <td class="paramname"><em>var_step_x</em>, </td>
274 </tr>
275 <tr>
276 <td class="paramkey"></td>
277 <td></td>
278 <td class="paramtype">uint&#160;</td>
279 <td class="paramname"><em>var_offset_first_element_in_bytes</em>, </td>
280 </tr>
281 <tr>
282 <td class="paramkey"></td>
283 <td></td>
284 <td class="paramtype">__global uchar *&#160;</td>
285 <td class="paramname"><em>beta_ptr</em>, </td>
286 </tr>
287 <tr>
288 <td class="paramkey"></td>
289 <td></td>
290 <td class="paramtype">uint&#160;</td>
291 <td class="paramname"><em>beta_stride_x</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>beta_step_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>beta_offset_first_element_in_bytes</em>, </td>
304 </tr>
305 <tr>
306 <td class="paramkey"></td>
307 <td></td>
308 <td class="paramtype">__global uchar *&#160;</td>
309 <td class="paramname"><em>gamma_ptr</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>gamma_stride_x</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>gamma_step_x</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>gamma_offset_first_element_in_bytes</em>, </td>
328 </tr>
329 <tr>
330 <td class="paramkey"></td>
331 <td></td>
332 <td class="paramtype">float&#160;</td>
333 <td class="paramname"><em>epsilon</em>&#160;</td>
334 </tr>
335 <tr>
336 <td></td>
337 <td>)</td>
338 <td></td><td></td>
339 </tr>
340 </table>
341</div><div class="memdoc">
342
343<p>Apply batch normalization. </p>
344<dl class="params"><dt>Parameters</dt><dd>
345 <table class="params">
346 <tr><td class="paramdir">[in]</td><td class="paramname">input_ptr</td><td>Pointer to the first source tensor. Supported data types: F32 </td></tr>
347 <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>
348 <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>
349 <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>
350 <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>
351 <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>
352 <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>
353 <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>
354 <tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>Pointer to the destination tensor. Supported data types: F32 </td></tr>
355 <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>
356 <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>
357 <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>
358 <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>
359 <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>
360 <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>
361 <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>
362 <tr><td class="paramdir">[in]</td><td class="paramname">mean_ptr</td><td>Pointer to the mean source tensor. Supported data types: F32 </td></tr>
363 <tr><td class="paramdir">[in]</td><td class="paramname">mean_stride_x</td><td>Stride of the mean source tensor in X dimension (in bytes) </td></tr>
364 <tr><td class="paramdir">[in]</td><td class="paramname">mean_step_x</td><td>mean_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
365 <tr><td class="paramdir">[in]</td><td class="paramname">mean_offset_first_element_in_bytes</td><td>The offset of the first element in the mean source tensor </td></tr>
366 <tr><td class="paramdir">[in]</td><td class="paramname">var_ptr</td><td>Pointer to the var tensor. Supported data types: F32 </td></tr>
367 <tr><td class="paramdir">[in]</td><td class="paramname">var_stride_x</td><td>Stride of the var tensor in X dimension (in bytes) </td></tr>
368 <tr><td class="paramdir">[in]</td><td class="paramname">var_step_x</td><td>var_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
369 <tr><td class="paramdir">[in]</td><td class="paramname">var_offset_first_element_in_bytes</td><td>The offset of the first element in the var source tensor </td></tr>
370 <tr><td class="paramdir">[in]</td><td class="paramname">beta_ptr</td><td>Pointer to the beta source tensor. Supported data types: F32 </td></tr>
371 <tr><td class="paramdir">[in]</td><td class="paramname">beta_stride_x</td><td>Stride of the beta source tensor in X dimension (in bytes) </td></tr>
372 <tr><td class="paramdir">[in]</td><td class="paramname">beta_step_x</td><td>beta_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
373 <tr><td class="paramdir">[in]</td><td class="paramname">beta_offset_first_element_in_bytes</td><td>The offset of the first element in the beta source tensor </td></tr>
374 <tr><td class="paramdir">[in]</td><td class="paramname">gamma_ptr</td><td>Pointer to the gamma source tensor. Supported data types: F32 </td></tr>
375 <tr><td class="paramdir">[in]</td><td class="paramname">gamma_stride_x</td><td>Stride of the gamma source tensor in X dimension (in bytes) </td></tr>
376 <tr><td class="paramdir">[in]</td><td class="paramname">gamma_step_x</td><td>gamma_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
377 <tr><td class="paramdir">[in]</td><td class="paramname">gamma_offset_first_element_in_bytes</td><td>The offset of the first element in the gamma source tensor </td></tr>
378 <tr><td class="paramdir">[in]</td><td class="paramname">epsilon</td><td>Epsilon parameter in the batch normalization equation </td></tr>
379 </table>
380 </dd>
381</dl>
382
383<p>Definition at line <a class="el" href="batchnormalization__layer_8cl_source.xhtml#l00062">62</a> of file <a class="el" href="batchnormalization__layer_8cl_source.xhtml">batchnormalization_layer.cl</a>.</p>
384
385<p>References <a class="el" href="helpers_8h_source.xhtml#l00079">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="helpers_8h_source.xhtml#l00067">CONVERT_TO_VECTOR_STRUCT</a>, <a class="el" href="helpers_8h_source.xhtml#l00089">Vector::ptr</a>, <a class="el" href="helpers_8h_source.xhtml#l00106">Tensor3D::ptr</a>, and <a class="el" href="helpers_8h_source.xhtml#l00091">Vector::stride_x</a>.</p>
386<div class="fragment"><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;{</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</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="l00071"></a><span class="lineno"> 71</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="l00072"></a><span class="lineno"> 72</span>&#160; <a class="code" href="struct_vector.xhtml">Vector</a> mean = <a class="code" href="helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(mean);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <a class="code" href="struct_vector.xhtml">Vector</a> var = <a class="code" href="helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(var);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <a class="code" href="struct_vector.xhtml">Vector</a> beta = <a class="code" href="helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(beta);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <a class="code" href="struct_vector.xhtml">Vector</a> gamma = <a class="code" href="helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(gamma);</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; float4 _in = 0;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; float4 denominator = 0;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; float4 numerator = 0;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; float4 x_bar = 0;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; float4 gamma_vec = 0;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; float4 beta_vec = 0;</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">int</span> current_slice = get_global_id(2);</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; _in = vload4(0, (__global <span class="keywordtype">float</span> *)in.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; denominator = *((__global <span class="keywordtype">float</span> *)(var.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + current_slice * var.<a class="code" href="struct_vector.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a>));</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; denominator = rsqrt(denominator + epsilon);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="comment">// Calculate x bar and store results</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; numerator = *((__global <span class="keywordtype">float</span> *)(mean.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + current_slice * mean.<a class="code" href="struct_vector.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a>));</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; numerator = _in - numerator;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; x_bar = numerator * denominator;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; gamma_vec = *((__global <span class="keywordtype">float</span> *)(gamma.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + current_slice * beta.<a class="code" href="struct_vector.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a>));</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; beta_vec = *((__global <span class="keywordtype">float</span> *)(beta.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + current_slice * beta.<a class="code" href="struct_vector.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a>));</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; vstore4(gamma_vec * x_bar + beta_vec, 0, (__global <span class="keywordtype">float</span> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;}</div><div class="ttc" id="struct_vector_xhtml"><div class="ttname"><a href="struct_vector.xhtml">Vector</a></div><div class="ttdoc">Structure to hold Vector information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00087">helpers.h:87</a></div></div>
387<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>
388<div class="ttc" id="helpers_8h_xhtml_a527bfdf5eeb306f1cf01c4a8e29f38e0"><div class="ttname"><a href="helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_VECTOR_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00067">helpers.h:67</a></div></div>
389<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>
390<div class="ttc" id="struct_vector_xhtml_ae01febbfd0689ef709f3ff6fdd2abc7e"><div class="ttname"><a href="struct_vector.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">Vector::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#l00091">helpers.h:91</a></div></div>
391<div class="ttc" id="struct_vector_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">Vector::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#l00089">helpers.h:89</a></div></div>
392<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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