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gerrit-public.fairphone.software / platform / external / ComputeLibrary / 514be65ad8d3340f53fd9591035352ed285811ba / . / documentation / slice__ops_8cl.xhtml
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98<div class="header">
99 <div class="summary">
100<a href="#func-members">Functions</a> </div>
101 <div class="headertitle">
102<div class="title">slice_ops.cl File Reference</div> </div>
103</div><!--header-->
104<div class="contents">
105<div class="textblock"><code>#include &quot;<a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml">helpers.h</a>&quot;</code><br />
106</div>
107<p><a href="slice__ops_8cl_source.xhtml">Go to the source code of this file.</a></p>
108<table class="memberdecls">
109<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
110Functions</h2></td></tr>
111<tr class="memitem:a1ff147e576a6f86e0ff50c91716f42ac"><td class="memItemLeft" align="right" valign="top">__kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="slice__ops_8cl.xhtml#a1ff147e576a6f86e0ff50c91716f42ac">strided_slice</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_stride_w, uint input_step_w, 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_stride_w, uint output_step_w, uint output_offset_first_element_in_bytes)</td></tr>
112<tr class="memdesc:a1ff147e576a6f86e0ff50c91716f42ac"><td class="mdescLeft">&#160;</td><td class="mdescRight">Perform a strided slice operation on a given input. <a href="#a1ff147e576a6f86e0ff50c91716f42ac">More...</a><br /></td></tr>
113<tr class="separator:a1ff147e576a6f86e0ff50c91716f42ac"><td class="memSeparator" colspan="2">&#160;</td></tr>
114</table>
115<h2 class="groupheader">Function Documentation</h2>
116<a id="a1ff147e576a6f86e0ff50c91716f42ac"></a>
117<h2 class="memtitle"><span class="permalink"><a href="#a1ff147e576a6f86e0ff50c91716f42ac">&#9670;&nbsp;</a></span>strided_slice()</h2>
118
119<div class="memitem">
120<div class="memproto">
121 <table class="memname">
122 <tr>
123 <td class="memname">__kernel void strided_slice </td>
124 <td>(</td>
125 <td class="paramtype">__global uchar *&#160;</td>
126 <td class="paramname"><em>input_ptr</em>, </td>
127 </tr>
128 <tr>
129 <td class="paramkey"></td>
130 <td></td>
131 <td class="paramtype">uint&#160;</td>
132 <td class="paramname"><em>input_stride_x</em>, </td>
133 </tr>
134 <tr>
135 <td class="paramkey"></td>
136 <td></td>
137 <td class="paramtype">uint&#160;</td>
138 <td class="paramname"><em>input_step_x</em>, </td>
139 </tr>
140 <tr>
141 <td class="paramkey"></td>
142 <td></td>
143 <td class="paramtype">uint&#160;</td>
144 <td class="paramname"><em>input_stride_y</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_step_y</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_stride_z</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_step_z</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_stride_w</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_step_w</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_offset_first_element_in_bytes</em>, </td>
181 </tr>
182 <tr>
183 <td class="paramkey"></td>
184 <td></td>
185 <td class="paramtype">__global uchar *&#160;</td>
186 <td class="paramname"><em>output_ptr</em>, </td>
187 </tr>
188 <tr>
189 <td class="paramkey"></td>
190 <td></td>
191 <td class="paramtype">uint&#160;</td>
192 <td class="paramname"><em>output_stride_x</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>output_step_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>output_stride_y</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>output_step_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>output_stride_z</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>output_step_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>output_stride_w</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>output_step_w</em>, </td>
235 </tr>
236 <tr>
237 <td class="paramkey"></td>
238 <td></td>
239 <td class="paramtype">uint&#160;</td>
240 <td class="paramname"><em>output_offset_first_element_in_bytes</em>&#160;</td>
241 </tr>
242 <tr>
243 <td></td>
244 <td>)</td>
245 <td></td><td></td>
246 </tr>
247 </table>
248</div><div class="memdoc">
249
250<p>Perform a strided slice operation on a given input. </p>
251<dl class="section attention"><dt>Attention</dt><dd>Supported tensor rank: up to 4</dd>
252<dd>
253Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float </dd>
254<dd>
255Input and output tensor dephts should be given as a preprocessor arguments using -DSRC_DEPTH=size. and -DDST_DEPTH=size </dd>
256<dd>
257Absolute start coordinates for each dimension should be given as preprocessor -DSTART_index=value e.g. -DSTART_0=2 </dd>
258<dd>
259Strides for each dimension should be given as preprocessor -DSTRIDE_index=value e.g. -DSTRIDE_1=1</dd></dl>
260<dl class="params"><dt>Parameters</dt><dd>
261 <table class="params">
262 <tr><td class="paramdir">[in]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32 </td></tr>
263 <tr><td class="paramdir">[in]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
264 <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>
265 <tr><td class="paramdir">[in]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
266 <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>
267 <tr><td class="paramdir">[in]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
268 <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>
269 <tr><td class="paramdir">[in]</td><td class="paramname">input_stride_w</td><td>Stride of the source tensor in W dimension (in bytes) </td></tr>
270 <tr><td class="paramdir">[in]</td><td class="paramname">input_step_w</td><td>input_stride_w * number of elements along W processed per workitem(in bytes) </td></tr>
271 <tr><td class="paramdir">[in]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
272 <tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>Pointer to the destination tensor. Supported data types: same as <code>input_ptr</code> </td></tr>
273 <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>
274 <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>
275 <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>
276 <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>
277 <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>
278 <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>
279 <tr><td class="paramdir">[in]</td><td class="paramname">output_stride_w</td><td>Stride of the destination tensor in W dimension (in bytes) </td></tr>
280 <tr><td class="paramdir">[in]</td><td class="paramname">output_step_w</td><td>output_stride_w * number of elements along W processed per workitem(in bytes) </td></tr>
281 <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>
282 </table>
283 </dd>
284</dl>
285
286<p class="definition">Definition at line <a class="el" href="slice__ops_8cl_source.xhtml#l00056">56</a> of file <a class="el" href="slice__ops_8cl_source.xhtml">slice_ops.cl</a>.</p>
Jenkins514be652019-02-28 12:25:18 +0000[diff] [blame^]287<div class="fragment"><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;{</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <a class="code" href="struct_tensor4_d.xhtml">Tensor4D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a302e05cc5f90bd76a9d0812c4be8b5eb">CONVERT_TO_TENSOR4D_STRUCT_NO_STEP</a>(input, SRC_DEPTH);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <a class="code" href="struct_tensor4_d.xhtml">Tensor4D</a> output = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a23b9032d1b9d59547545e457f82ee478">CONVERT_TO_TENSOR4D_STRUCT</a>(output, DST_DEPTH);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="keywordtype">int</span> <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = 0;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="comment">// Offset X</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;<span class="preprocessor">#if defined(SHRINK_0)</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += (int)START_0 * input_stride_x;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;<span class="preprocessor">#elif defined(START_0) &amp;&amp; defined(STRIDE_0) &amp;&amp; defined(VEC_SIZE) &amp;&amp; defined(LAST_ACCESSED_X)</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="comment">// Check if access on width gets out of bounds</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="comment">// If it does shift access vector to access elements within bounds</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> xi = (int)(get_global_id(0) * VEC_SIZE);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_0 + min(xi, (<span class="keywordtype">int</span>)LAST_ACCESSED_X);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> * input_stride_x;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; output.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> -= max(xi - (<span class="keywordtype">int</span>)LAST_ACCESSED_X, 0) * output_stride_x;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;<span class="preprocessor">#elif defined(START_0) &amp;&amp; defined(STRIDE_0)</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_0 + (<span class="keywordtype">int</span>)get_global_id(0) * (int)STRIDE_0;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> * input_stride_x;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;<span class="preprocessor">#endif // defined(START_0) &amp;&amp; defined(STRIDE_0)</span></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; <span class="comment">// Offset Y</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;<span class="preprocessor">#if defined(SHRINK_1)</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += (int)START_1 * input_stride_y;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;<span class="preprocessor">#elif defined(START_1) &amp;&amp; defined(STRIDE_1)</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;<span class="preprocessor">#if defined(SHRINK_0)</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_1 + (<span class="keywordtype">int</span>)get_global_id(0) * (int)STRIDE_1;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;<span class="preprocessor">#else // defined(SHRINK_0)</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_1 + (<span class="keywordtype">int</span>)get_global_id(1) * (int)STRIDE_1;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;<span class="preprocessor">#endif // defined(SHRINK_0)</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> * input_stride_y;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;<span class="preprocessor">#endif // defined(START_1) &amp;&amp; defined(STRIDE_1)</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="comment">// Offset Z</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;<span class="preprocessor">#if defined(SHRINK_2)</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += (int)START_2 * input_stride_z;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160;<span class="preprocessor">#elif defined(START_2) &amp;&amp; defined(STRIDE_2)</span></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;<span class="preprocessor">#if defined(SHRINK_1) &amp;&amp; defined(SHRINK_0)</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_2 + (<span class="keywordtype">int</span>)get_global_id(0) * (int)STRIDE_2;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;<span class="preprocessor">#elif defined(SHRINK_1) || defined(SHRINK_0)</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_2 + (<span class="keywordtype">int</span>)get_global_id(1) * (int)STRIDE_2;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;<span class="preprocessor">#else // defined(SHRINK_1) &amp;&amp; defined(SHRINK_0)</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_2 + ((<span class="keywordtype">int</span>)get_global_id(2) % (int)DST_DEPTH) * (int)STRIDE_2;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;<span class="preprocessor">#endif // defined(SHRINK_1) &amp;&amp; defined(SHRINK_0)</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> * input_stride_z;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;<span class="preprocessor">#endif // defined(START_2) &amp;&amp; defined(STRIDE_2)</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <span class="comment">// Offset depth</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;<span class="preprocessor">#if defined(SHRINK_3)</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += (int)START_3 * input_stride_w;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160;<span class="preprocessor">#elif defined(START_3) &amp;&amp; defined(STRIDE_3)</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160;<span class="preprocessor">#if defined(SHRINK_2) &amp;&amp; defined(SHRINK_1) &amp;&amp; defined(SHRINK_0)</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_3 + (<span class="keywordtype">int</span>)get_global_id(0) * (int)STRIDE_3;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;<span class="preprocessor">#elif !defined(SHRINK_2) &amp;&amp; !defined(SHRINK_1) &amp;&amp; !defined(SHRINK_0)</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_3 + ((<span class="keywordtype">int</span>)get_global_id(2) / (int)DST_DEPTH) * (int)STRIDE_3;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;<span class="preprocessor">#elif(defined(SHRINK_0) &amp;&amp; defined(SHRINK_1)) || (defined(SHRINK_1) &amp;&amp; defined(SHRINK_2)) || (defined(SHRINK_0) &amp;&amp; defined(SHRINK_2))</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_3 + (<span class="keywordtype">int</span>)get_global_id(1) * (int)STRIDE_3;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160;<span class="preprocessor">#else // defined(SHRINK_2) &amp;&amp; defined(SHRINK_1) &amp;&amp; defined(SHRINK_0)</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (int)START_3 + ((<span class="keywordtype">int</span>)get_global_id(2) % (int)DST_DEPTH) * (int)STRIDE_3;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160;<span class="preprocessor">#endif // defined(SHRINK_2) &amp;&amp; defined(SHRINK_1) &amp;&amp; defined(SHRINK_0)</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> * input_stride_w;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160;<span class="preprocessor">#endif // defined(START_3) &amp;&amp; defined(STRIDE_3)</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <span class="comment">// Store result</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;<span class="preprocessor">#if defined(VEC_SIZE) &amp;&amp; defined(LAST_ACCESSED_X)</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE)</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; val = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>));</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160;</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; (val, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(output.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>));</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160;<span class="preprocessor">#else // defined(VEC_SIZE) &amp;&amp; defined(LAST_ACCESSED_X)</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(output.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>)) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(input.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>));</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;<span class="preprocessor">#endif // defined(VEC_SIZE) &amp;&amp; defined(LAST_ACCESSED_X)</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160;}</div><div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00312">helpers.h:312</a></div></div>
288<div class="ttc" id="struct_tensor4_d_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">Tensor4D::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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00172">helpers.h:172</a></div></div>
Jenkinsb9abeae2018-11-22 11:58:08 +0000[diff] [blame]289<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>
Jenkins514be652019-02-28 12:25:18 +0000[diff] [blame^]290<div class="ttc" id="struct_tensor4_d_xhtml"><div class="ttname"><a href="struct_tensor4_d.xhtml">Tensor4D</a></div><div class="ttdoc">Structure to hold 4D tensor information.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00170">helpers.h:170</a></div></div>
291<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a302e05cc5f90bd76a9d0812c4be8b5eb"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a302e05cc5f90bd76a9d0812c4be8b5eb">CONVERT_TO_TENSOR4D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(name, mod_size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00139">helpers.h:139</a></div></div>
292<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a23b9032d1b9d59547545e457f82ee478"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a23b9032d1b9d59547545e457f82ee478">CONVERT_TO_TENSOR4D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR4D_STRUCT(name, mod_size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00135">helpers.h:135</a></div></div>
Jenkinsb9abeae2018-11-22 11:58:08 +0000[diff] [blame]293<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_acb282042d1edeeaa3cc979a206f78b54"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a></div><div class="ttdeci">#define VSTORE(size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00051">helpers.h:51</a></div></div>
294<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a287e2fc366c312b468382c95bb90f91f"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a></div><div class="ttdeci">#define VLOAD(size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00048">helpers.h:48</a></div></div>
Jenkins514be652019-02-28 12:25:18 +0000[diff] [blame^]295<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a36f754c05b6fddf6df0d8d0a74f8159f"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00057">helpers.h:57</a></div></div>
Jenkinsb9abeae2018-11-22 11:58:08 +0000[diff] [blame]296</div><!-- fragment -->
Jenkins514be652019-02-28 12:25:18 +0000[diff] [blame^]297<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00135">CONVERT_TO_TENSOR4D_STRUCT</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00139">CONVERT_TO_TENSOR4D_STRUCT_NO_STEP</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00027">DATA_TYPE</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00312">offset()</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00172">Tensor4D::ptr</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00057">VEC_DATA_TYPE</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00048">VLOAD</a>, and <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00051">VSTORE</a>.</p>
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Jenkinsb9abeae2018-11-22 11:58:08 +0000[diff] [blame]299</div>
300</div>
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