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gerrit-public.fairphone.software / platform / external / ComputeLibrary / dbdab85d6e0f96d3361a9e30310367d89953466c / . / documentation / normalization__layer_8cl.xhtml
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Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]9<title>Compute Library: src/core/CL/cl_kernels/normalization_layer.cl File Reference</title>
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Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]42 <div id="projectname">Compute Library
43 &#160;<span id="projectnumber">v17.06</span>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]44 </div>
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119<div class="title">normalization_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="normalization__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: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>
129<tr class="memdesc:a904c8d1ee4f70e0a7ac448f24fadc64f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Apply cross map normalization. <a href="#a904c8d1ee4f70e0a7ac448f24fadc64f">More...</a><br /></td></tr>
130<tr class="separator:a904c8d1ee4f70e0a7ac448f24fadc64f"><td class="memSeparator" colspan="2">&#160;</td></tr>
Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]131<tr class="memitem:a90db97ea601490aa9add6e3de716c6e1"><td class="memItemLeft" align="right" valign="top">__kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="normalization__layer_8cl.xhtml#a90db97ea601490aa9add6e3de716c6e1">normalization_layer_in_map_1D</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>
132<tr class="memdesc:a90db97ea601490aa9add6e3de716c6e1"><td class="mdescLeft">&#160;</td><td class="mdescRight">Apply in map normalization. <a href="#a90db97ea601490aa9add6e3de716c6e1">More...</a><br /></td></tr>
133<tr class="separator:a90db97ea601490aa9add6e3de716c6e1"><td class="memSeparator" colspan="2">&#160;</td></tr>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]134</table>
135<h2 class="groupheader">Function Documentation</h2>
136<a class="anchor" id="a904c8d1ee4f70e0a7ac448f24fadc64f"></a>
137<div class="memitem">
138<div class="memproto">
139 <table class="memname">
140 <tr>
141 <td class="memname">__kernel void normalization_layer_cross_map </td>
142 <td>(</td>
143 <td class="paramtype">__global uchar *&#160;</td>
144 <td class="paramname"><em>input_ptr</em>, </td>
145 </tr>
146 <tr>
147 <td class="paramkey"></td>
148 <td></td>
149 <td class="paramtype">uint&#160;</td>
150 <td class="paramname"><em>input_stride_x</em>, </td>
151 </tr>
152 <tr>
153 <td class="paramkey"></td>
154 <td></td>
155 <td class="paramtype">uint&#160;</td>
156 <td class="paramname"><em>input_step_x</em>, </td>
157 </tr>
158 <tr>
159 <td class="paramkey"></td>
160 <td></td>
161 <td class="paramtype">uint&#160;</td>
162 <td class="paramname"><em>input_stride_y</em>, </td>
163 </tr>
164 <tr>
165 <td class="paramkey"></td>
166 <td></td>
167 <td class="paramtype">uint&#160;</td>
168 <td class="paramname"><em>input_step_y</em>, </td>
169 </tr>
170 <tr>
171 <td class="paramkey"></td>
172 <td></td>
173 <td class="paramtype">uint&#160;</td>
174 <td class="paramname"><em>input_stride_z</em>, </td>
175 </tr>
176 <tr>
177 <td class="paramkey"></td>
178 <td></td>
179 <td class="paramtype">uint&#160;</td>
180 <td class="paramname"><em>input_step_z</em>, </td>
181 </tr>
182 <tr>
183 <td class="paramkey"></td>
184 <td></td>
185 <td class="paramtype">uint&#160;</td>
186 <td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
187 </tr>
188 <tr>
189 <td class="paramkey"></td>
190 <td></td>
191 <td class="paramtype">__global uchar *&#160;</td>
192 <td class="paramname"><em>squared_input_ptr</em>, </td>
193 </tr>
194 <tr>
195 <td class="paramkey"></td>
196 <td></td>
197 <td class="paramtype">uint&#160;</td>
198 <td class="paramname"><em>squared_input_stride_x</em>, </td>
199 </tr>
200 <tr>
201 <td class="paramkey"></td>
202 <td></td>
203 <td class="paramtype">uint&#160;</td>
204 <td class="paramname"><em>squared_input_step_x</em>, </td>
205 </tr>
206 <tr>
207 <td class="paramkey"></td>
208 <td></td>
209 <td class="paramtype">uint&#160;</td>
210 <td class="paramname"><em>squared_input_stride_y</em>, </td>
211 </tr>
212 <tr>
213 <td class="paramkey"></td>
214 <td></td>
215 <td class="paramtype">uint&#160;</td>
216 <td class="paramname"><em>squared_input_step_y</em>, </td>
217 </tr>
218 <tr>
219 <td class="paramkey"></td>
220 <td></td>
221 <td class="paramtype">uint&#160;</td>
222 <td class="paramname"><em>squared_input_stride_z</em>, </td>
223 </tr>
224 <tr>
225 <td class="paramkey"></td>
226 <td></td>
227 <td class="paramtype">uint&#160;</td>
228 <td class="paramname"><em>squared_input_step_z</em>, </td>
229 </tr>
230 <tr>
231 <td class="paramkey"></td>
232 <td></td>
233 <td class="paramtype">uint&#160;</td>
234 <td class="paramname"><em>squared_input_offset_first_element_in_bytes</em>, </td>
235 </tr>
236 <tr>
237 <td class="paramkey"></td>
238 <td></td>
239 <td class="paramtype">__global uchar *&#160;</td>
240 <td class="paramname"><em>output_ptr</em>, </td>
241 </tr>
242 <tr>
243 <td class="paramkey"></td>
244 <td></td>
245 <td class="paramtype">uint&#160;</td>
246 <td class="paramname"><em>output_stride_x</em>, </td>
247 </tr>
248 <tr>
249 <td class="paramkey"></td>
250 <td></td>
251 <td class="paramtype">uint&#160;</td>
252 <td class="paramname"><em>output_step_x</em>, </td>
253 </tr>
254 <tr>
255 <td class="paramkey"></td>
256 <td></td>
257 <td class="paramtype">uint&#160;</td>
258 <td class="paramname"><em>output_stride_y</em>, </td>
259 </tr>
260 <tr>
261 <td class="paramkey"></td>
262 <td></td>
263 <td class="paramtype">uint&#160;</td>
264 <td class="paramname"><em>output_step_y</em>, </td>
265 </tr>
266 <tr>
267 <td class="paramkey"></td>
268 <td></td>
269 <td class="paramtype">uint&#160;</td>
270 <td class="paramname"><em>output_stride_z</em>, </td>
271 </tr>
272 <tr>
273 <td class="paramkey"></td>
274 <td></td>
275 <td class="paramtype">uint&#160;</td>
276 <td class="paramname"><em>output_step_z</em>, </td>
277 </tr>
278 <tr>
279 <td class="paramkey"></td>
280 <td></td>
281 <td class="paramtype">uint&#160;</td>
282 <td class="paramname"><em>output_offset_first_element_in_bytes</em>, </td>
283 </tr>
284 <tr>
285 <td class="paramkey"></td>
286 <td></td>
287 <td class="paramtype">float&#160;</td>
288 <td class="paramname"><em>coeff</em>, </td>
289 </tr>
290 <tr>
291 <td class="paramkey"></td>
292 <td></td>
293 <td class="paramtype">float&#160;</td>
294 <td class="paramname"><em>beta</em>, </td>
295 </tr>
296 <tr>
297 <td class="paramkey"></td>
298 <td></td>
299 <td class="paramtype">float&#160;</td>
300 <td class="paramname"><em>kappa</em>, </td>
301 </tr>
302 <tr>
303 <td class="paramkey"></td>
304 <td></td>
305 <td class="paramtype">uint&#160;</td>
306 <td class="paramname"><em>radius</em>&#160;</td>
307 </tr>
308 <tr>
309 <td></td>
310 <td>)</td>
311 <td></td><td></td>
312 </tr>
313 </table>
314</div><div class="memdoc">
315
316<p>Apply cross map normalization. </p>
317<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>
318<dl class="params"><dt>Parameters</dt><dd>
319 <table class="params">
320 <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>
321 <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>
322 <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>
323 <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>
324 <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>
325 <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>
326 <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>
327 <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>
328 <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>
329 <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>
330 <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>
331 <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>
332 <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>
333 <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>
334 <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>
335 <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>
336 <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>
337 <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>
338 <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>
339 <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>
340 <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>
341 <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>
342 <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>
343 <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>
344 <tr><td class="paramdir">[in]</td><td class="paramname">coeff</td><td>Alpha parameter / norm_size </td></tr>
345 <tr><td class="paramdir">[in]</td><td class="paramname">beta</td><td>Beta parameter in the normalization equation </td></tr>
346 <tr><td class="paramdir">[in]</td><td class="paramname">kappa</td><td>Kappa parameter in the normalization equation </td></tr>
347 <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>
348 </table>
349 </dd>
350</dl>
351
352<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>
353
Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]354<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="tests_2validation_2_fixed_point_8h_source.xhtml#l00880">arm_compute::test::fixed_point_arithmetic::detail::max()</a>, <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00875">arm_compute::test::fixed_point_arithmetic::detail::min()</a>, <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00935">arm_compute::test::fixed_point_arithmetic::detail::pow()</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>
355<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 = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a>(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 = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">min</a>(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 = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#af782da2c5016738c96c16fee5e17670f">pow</a>(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="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point&lt; T &gt; min(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00875">FixedPoint.h:875</a></div></div>
356<div class="ttc" id="helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00079">helpers.h:79</a></div></div>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]357<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>
358<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>
359<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>
Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]360<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_af782da2c5016738c96c16fee5e17670f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#af782da2c5016738c96c16fee5e17670f">arm_compute::test::fixed_point_arithmetic::detail::pow</a></div><div class="ttdeci">fixed_point&lt; T &gt; pow(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; a)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00935">FixedPoint.h:935</a></div></div>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]361<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>
Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]362<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point&lt; T &gt; max(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00880">FixedPoint.h:880</a></div></div>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]363<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>
364</div><!-- fragment -->
365</div>
366</div>
Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]367<a class="anchor" id="a90db97ea601490aa9add6e3de716c6e1"></a>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]368<div class="memitem">
369<div class="memproto">
370 <table class="memname">
371 <tr>
Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]372 <td class="memname">__kernel void normalization_layer_in_map_1D </td>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]373 <td>(</td>
374 <td class="paramtype">__global uchar *&#160;</td>
375 <td class="paramname"><em>input_ptr</em>, </td>
376 </tr>
377 <tr>
378 <td class="paramkey"></td>
379 <td></td>
380 <td class="paramtype">uint&#160;</td>
381 <td class="paramname"><em>input_stride_x</em>, </td>
382 </tr>
383 <tr>
384 <td class="paramkey"></td>
385 <td></td>
386 <td class="paramtype">uint&#160;</td>
387 <td class="paramname"><em>input_step_x</em>, </td>
388 </tr>
389 <tr>
390 <td class="paramkey"></td>
391 <td></td>
392 <td class="paramtype">uint&#160;</td>
393 <td class="paramname"><em>input_stride_y</em>, </td>
394 </tr>
395 <tr>
396 <td class="paramkey"></td>
397 <td></td>
398 <td class="paramtype">uint&#160;</td>
399 <td class="paramname"><em>input_step_y</em>, </td>
400 </tr>
401 <tr>
402 <td class="paramkey"></td>
403 <td></td>
404 <td class="paramtype">uint&#160;</td>
405 <td class="paramname"><em>input_stride_z</em>, </td>
406 </tr>
407 <tr>
408 <td class="paramkey"></td>
409 <td></td>
410 <td class="paramtype">uint&#160;</td>
411 <td class="paramname"><em>input_step_z</em>, </td>
412 </tr>
413 <tr>
414 <td class="paramkey"></td>
415 <td></td>
416 <td class="paramtype">uint&#160;</td>
417 <td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
418 </tr>
419 <tr>
420 <td class="paramkey"></td>
421 <td></td>
422 <td class="paramtype">__global uchar *&#160;</td>
423 <td class="paramname"><em>squared_input_ptr</em>, </td>
424 </tr>
425 <tr>
426 <td class="paramkey"></td>
427 <td></td>
428 <td class="paramtype">uint&#160;</td>
429 <td class="paramname"><em>squared_input_stride_x</em>, </td>
430 </tr>
431 <tr>
432 <td class="paramkey"></td>
433 <td></td>
434 <td class="paramtype">uint&#160;</td>
435 <td class="paramname"><em>squared_input_step_x</em>, </td>
436 </tr>
437 <tr>
438 <td class="paramkey"></td>
439 <td></td>
440 <td class="paramtype">uint&#160;</td>
441 <td class="paramname"><em>squared_input_stride_y</em>, </td>
442 </tr>
443 <tr>
444 <td class="paramkey"></td>
445 <td></td>
446 <td class="paramtype">uint&#160;</td>
447 <td class="paramname"><em>squared_input_step_y</em>, </td>
448 </tr>
449 <tr>
450 <td class="paramkey"></td>
451 <td></td>
452 <td class="paramtype">uint&#160;</td>
453 <td class="paramname"><em>squared_input_stride_z</em>, </td>
454 </tr>
455 <tr>
456 <td class="paramkey"></td>
457 <td></td>
458 <td class="paramtype">uint&#160;</td>
459 <td class="paramname"><em>squared_input_step_z</em>, </td>
460 </tr>
461 <tr>
462 <td class="paramkey"></td>
463 <td></td>
464 <td class="paramtype">uint&#160;</td>
465 <td class="paramname"><em>squared_input_offset_first_element_in_bytes</em>, </td>
466 </tr>
467 <tr>
468 <td class="paramkey"></td>
469 <td></td>
470 <td class="paramtype">__global uchar *&#160;</td>
471 <td class="paramname"><em>output_ptr</em>, </td>
472 </tr>
473 <tr>
474 <td class="paramkey"></td>
475 <td></td>
476 <td class="paramtype">uint&#160;</td>
477 <td class="paramname"><em>output_stride_x</em>, </td>
478 </tr>
479 <tr>
480 <td class="paramkey"></td>
481 <td></td>
482 <td class="paramtype">uint&#160;</td>
483 <td class="paramname"><em>output_step_x</em>, </td>
484 </tr>
485 <tr>
486 <td class="paramkey"></td>
487 <td></td>
488 <td class="paramtype">uint&#160;</td>
489 <td class="paramname"><em>output_stride_y</em>, </td>
490 </tr>
491 <tr>
492 <td class="paramkey"></td>
493 <td></td>
494 <td class="paramtype">uint&#160;</td>
495 <td class="paramname"><em>output_step_y</em>, </td>
496 </tr>
497 <tr>
498 <td class="paramkey"></td>
499 <td></td>
500 <td class="paramtype">uint&#160;</td>
501 <td class="paramname"><em>output_stride_z</em>, </td>
502 </tr>
503 <tr>
504 <td class="paramkey"></td>
505 <td></td>
506 <td class="paramtype">uint&#160;</td>
507 <td class="paramname"><em>output_step_z</em>, </td>
508 </tr>
509 <tr>
510 <td class="paramkey"></td>
511 <td></td>
512 <td class="paramtype">uint&#160;</td>
513 <td class="paramname"><em>output_offset_first_element_in_bytes</em>, </td>
514 </tr>
515 <tr>
516 <td class="paramkey"></td>
517 <td></td>
518 <td class="paramtype">float&#160;</td>
519 <td class="paramname"><em>coeff</em>, </td>
520 </tr>
521 <tr>
522 <td class="paramkey"></td>
523 <td></td>
524 <td class="paramtype">float&#160;</td>
525 <td class="paramname"><em>beta</em>, </td>
526 </tr>
527 <tr>
528 <td class="paramkey"></td>
529 <td></td>
530 <td class="paramtype">float&#160;</td>
531 <td class="paramname"><em>kappa</em>, </td>
532 </tr>
533 <tr>
534 <td class="paramkey"></td>
535 <td></td>
536 <td class="paramtype">uint&#160;</td>
537 <td class="paramname"><em>radius</em>&#160;</td>
538 </tr>
539 <tr>
540 <td></td>
541 <td>)</td>
542 <td></td><td></td>
543 </tr>
544 </table>
545</div><div class="memdoc">
546
547<p>Apply in map normalization. </p>
548<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>
549<dl class="params"><dt>Parameters</dt><dd>
550 <table class="params">
551 <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>
552 <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>
553 <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>
554 <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>
555 <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>
556 <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>
557 <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>
558 <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>
559 <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>
560 <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>
561 <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>
562 <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>
563 <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>
564 <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>
565 <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>
566 <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>
567 <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>
568 <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>
569 <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>
570 <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>
571 <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>
572 <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>
573 <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>
574 <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>
575 <tr><td class="paramdir">[in]</td><td class="paramname">coeff</td><td>Alpha parameter / norm_size </td></tr>
576 <tr><td class="paramdir">[in]</td><td class="paramname">beta</td><td>Beta parameter in the normalization equation </td></tr>
577 <tr><td class="paramdir">[in]</td><td class="paramname">kappa</td><td>Kappa parameter in the normalization equation </td></tr>
578 <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>
579 </table>
580 </dd>
581</dl>
582
583<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>
584
Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]585<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="tests_2validation_2_fixed_point_8h_source.xhtml#l00880">arm_compute::test::fixed_point_arithmetic::detail::max()</a>, <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00875">arm_compute::test::fixed_point_arithmetic::detail::min()</a>, <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00935">arm_compute::test::fixed_point_arithmetic::detail::pow()</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>
586<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 = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a>(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 = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">min</a>(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 = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#af782da2c5016738c96c16fee5e17670f">pow</a>((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="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point&lt; T &gt; min(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00875">FixedPoint.h:875</a></div></div>
587<div class="ttc" id="helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00079">helpers.h:79</a></div></div>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]588<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>
589<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>
590<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>
591<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>
Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]592<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_af782da2c5016738c96c16fee5e17670f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#af782da2c5016738c96c16fee5e17670f">arm_compute::test::fixed_point_arithmetic::detail::pow</a></div><div class="ttdeci">fixed_point&lt; T &gt; pow(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; a)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00935">FixedPoint.h:935</a></div></div>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]593<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>
Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]594<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point&lt; T &gt; max(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00880">FixedPoint.h:880</a></div></div>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]595<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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Anthony Barbierdbdab852017-06-23 15:42:00 +0100[diff] [blame^]605 <li class="footer">Generated on Fri Jun 23 2017 15:44:34 for Compute Library by
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