documentation/normalization__layer_8cl.xhtml

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 113
 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>
 126 Functions</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>
 589 </div><!-- fragment -->
 590 </div>
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 594 <!-- start footer part -->
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 596   <ul>
 597     <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_aebb8dcc11953d78e620bbef0b9e2183.xhtml">core</a></li><li class="navelem"><a class="el" href="dir_8c278f79c760e5c5fbd911f9870614c1.xhtml">CL</a></li><li class="navelem"><a class="el" href="dir_25885286e9dad4fa105b7b25a8031bbf.xhtml">cl_kernels</a></li><li class="navelem"><a class="el" href="normalization__layer_8cl.xhtml">normalization_layer.cl</a></li>
 598     <li class="footer">Generated on Fri Mar 24 2017 17:23:50 for ARM Compute Library by
 599     <a href="http://www.doxygen.org/index.html">
 600     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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