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gerrit-public.fairphone.software / platform / external / ComputeLibrary / bf8b01dfbfdca124673ade33c5eac8f3748d7abd / . / documentation / convolution__layer_8cl_source.xhtml
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115<div class="title">convolution_layer.cl</div> </div>
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Kaizen8938bd32017-09-28 14:38:23 +0100[diff] [blame]118<a href="convolution__layer_8cl.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">/*</span></div>
119<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2017 ARM Limited.</span></div>
120<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div>
121<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div>
122<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> *</span></div>
123<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div>
124<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div>
125<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div>
126<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div>
127<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div>
128<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div>
129<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="comment"> *</span></div>
130<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div>
131<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div>
132<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> *</span></div>
133<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div>
134<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div>
135<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div>
136<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div>
137<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div>
138<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div>
139<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="comment"> * SOFTWARE.</span></div>
140<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> */</span></div>
141<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="helpers_8h.xhtml">helpers.h</a>&quot;</span></div>
142<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;</div>
143<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="preprocessor">#if defined(FIXED_POINT_POSITION)</span></div>
144<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor"></span><span class="preprocessor">#include &quot;<a class="code" href="fixed__point_8h.xhtml">fixed_point.h</a>&quot;</span></div>
145<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="preprocessor">#endif // FIXED_POINT_POSITION</span></div>
146<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor"></span></div>
147<div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="convolution__layer_8cl.xhtml#ab6358b28d1e7bc946950075d94412013"> 57</a></span>&#160;__kernel <span class="keywordtype">void</span> <a class="code" href="convolution__layer_8cl.xhtml#ab6358b28d1e7bc946950075d94412013">reshape_to_columns</a>(</div>
148<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div>
149<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <a class="code" href="helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(dst),</div>
150<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;#ifdef HAS_BIAS</div>
151<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(bias),</div>
152<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;#endif <span class="comment">/* HAS_BIAS */</span></div>
153<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; uint width, uint height, uint depth, uint total_filters)</div>
154<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;{</div>
155<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> src = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(src);</div>
156<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordtype">bool</span> is_last_thread = (get_global_id(0) == (get_global_size(0) - 1) &amp;&amp; get_global_id(1) == (get_global_size(1) - 1) &amp;&amp; get_global_id(2) == (get_global_size(2) - 1));</div>
157<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;</div>
158<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; __global uchar *tmp_src_ptr = src.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>;</div>
159<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; __global uchar *tmp_dst_ptr = dst_ptr + dst_offset_first_element_in_bytes + get_global_id(0) * dst_stride_y + get_global_id(1) * width * dst_stride_y + get_global_id(</div>
160<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; 2) * width * height * dst_stride_y;</div>
161<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;<span class="preprocessor">#ifdef HAS_BIAS</span></div>
162<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;<span class="preprocessor"></span> __global uchar *tmp_bias_ptr = bias_ptr + bias_offset_first_element_in_bytes;</div>
163<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* HAS_BIAS */</span><span class="preprocessor"></span></div>
164<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;<span class="preprocessor"></span></div>
165<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keywordflow">if</span>(is_last_thread)</div>
166<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; {</div>
167<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keywordflow">for</span>(uint i = 0; i &lt; total_filters; ++i)</div>
168<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; {</div>
169<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_dst_ptr) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_src_ptr);</div>
170<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;</div>
171<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;<span class="preprocessor">#ifdef HAS_BIAS</span></div>
172<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;<span class="preprocessor"></span> *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(tmp_dst_ptr + dst_stride_y)) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(tmp_bias_ptr));</div>
173<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; tmp_bias_ptr += bias_stride_x;</div>
174<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* HAS_BIAS */</span><span class="preprocessor"></span></div>
175<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;<span class="preprocessor"></span> tmp_src_ptr += depth * src_stride_z;</div>
176<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; tmp_dst_ptr += dst_stride_x;</div>
177<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; }</div>
178<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; }</div>
179<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keywordflow">else</span></div>
180<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; {</div>
181<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="keywordflow">for</span>(uint i = 0; i &lt; total_filters; ++i)</div>
182<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; {</div>
183<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_dst_ptr) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_src_ptr);</div>
184<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; tmp_src_ptr += depth * src_stride_z;</div>
185<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; tmp_dst_ptr += dst_stride_x;</div>
186<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; }</div>
187<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; }</div>
188<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;}</div>
189<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;</div>
190<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;<span class="preprocessor">#if defined(CONVOLVED_WIDTH) &amp;&amp; defined(STRIDE_X) &amp;&amp; defined(STRIDE_Y) &amp;&amp; defined(PAD_X) &amp;&amp; defined(PAD_Y) &amp;&amp; defined(KERNEL_WIDTH) &amp;&amp; defined(KERNEL_HEIGHT) &amp;&amp; defined(KERNEL_DEPTH) &amp;&amp; defined(SRC_WIDTH) &amp;&amp; defined(SRC_HEIGHT)</span></div>
191<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;<span class="preprocessor"></span></div>
192<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;__kernel <span class="keywordtype">void</span> im2col_generic(</div>
193<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div>
194<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <a class="code" href="helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(dst),</div>
195<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; uint filter_depth,</div>
196<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; uint src_stride_w,</div>
197<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; uint dst_stride_w)</div>
198<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;{</div>
199<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> xc = get_global_id(0); <span class="comment">// x coordinate in the convolved tensor</span></div>
200<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> yc = get_global_id(1); <span class="comment">// y coordinate in the convolved tensor</span></div>
201<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> ch = get_global_id(2) % filter_depth; <span class="comment">// input feature map</span></div>
202<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> batch = get_global_id(2) / filter_depth; <span class="comment">// the batch</span></div>
203<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160;</div>
204<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <span class="comment">// Calculate input indeces</span></div>
205<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> xi = xc * STRIDE_X - PAD_X;</div>
206<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> yi = yc * STRIDE_Y - PAD_Y;</div>
207<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160;</div>
208<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="comment">// Calculate output indeces</span></div>
209<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> xo = ch * KERNEL_WIDTH * KERNEL_HEIGHT;</div>
210<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> yo = xc + yc * CONVOLVED_WIDTH; <span class="comment">// Index of the convolution</span></div>
211<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160;</div>
212<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + ch * src_stride_z + batch * src_stride_w;</div>
213<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; __global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *output_ptr = ((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_ptr + dst_offset_first_element_in_bytes + yo * dst_stride_y + batch * dst_stride_w)) + xo;</div>
214<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;</div>
215<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <span class="comment">// Linearize convolution elements</span></div>
216<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = yi, y_e = yi + KERNEL_HEIGHT; y &lt; y_e; ++y)</div>
217<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; {</div>
218<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = xi, x_e = xi + KERNEL_WIDTH; x &lt; x_e; ++x, ++output_ptr)</div>
219<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; {</div>
220<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;<span class="preprocessor">#if PAD_X == 0 &amp;&amp; PAD_Y == 0</span></div>
221<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;<span class="preprocessor"></span> *output_ptr = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(input_ptr + x * src_stride_x + y * src_stride_y));</div>
222<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160;<span class="preprocessor">#else // PAD_X == 0 &amp;&amp; PAD_Y == 0</span></div>
223<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160;<span class="preprocessor"></span> <span class="keywordflow">if</span>(x &lt; 0 || x &gt;= SRC_WIDTH || y &lt; 0 || y &gt;= SRC_HEIGHT)</div>
224<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; {</div>
225<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; *output_ptr = 0;</div>
226<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; }</div>
227<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <span class="keywordflow">else</span></div>
228<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; {</div>
229<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; *output_ptr = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(input_ptr + x * src_stride_x + y * src_stride_y));</div>
230<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; }</div>
231<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160;<span class="preprocessor">#endif // PAD_X == 0 &amp;&amp; PAD_Y == 0</span></div>
232<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160;<span class="preprocessor"></span> }</div>
233<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; }</div>
234<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160;</div>
235<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;<span class="preprocessor">#ifdef HAS_BIAS</span></div>
236<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160;<span class="preprocessor"></span> <span class="keywordflow">if</span>(ch == (KERNEL_DEPTH - 1))</div>
237<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; {</div>
238<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160;<span class="preprocessor">#ifdef FIXED_POINT_POSITION</span></div>
239<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160;<span class="preprocessor"></span> *output_ptr = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)(1 &lt;&lt; FIXED_POINT_POSITION);</div>
240<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160;<span class="preprocessor">#else // FIXED_POINT_POSITION</span></div>
241<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160;<span class="preprocessor"></span> *output_ptr = 1.0f;</div>
242<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160;<span class="preprocessor">#endif // FIXED_POINT_POSITION</span></div>
243<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160;<span class="preprocessor"></span> }</div>
244<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160;<span class="preprocessor">#endif // HAS_BIAS</span></div>
245<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160;<span class="preprocessor"></span>}</div>
246<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160;</div>
247<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160;__kernel <span class="keywordtype">void</span> im2col_kernel3x3_padx0_pady0(</div>
248<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div>
249<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; <a class="code" href="helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(dst),</div>
250<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; uint filter_depth,</div>
251<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; uint src_stride_w,</div>
252<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; uint dst_stride_w)</div>
253<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160;{</div>
254<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> xc = get_global_id(0); <span class="comment">// x coordinate in the convolved tensor</span></div>
255<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> yc = get_global_id(1); <span class="comment">// y coordinate in the convolved tensor</span></div>
256<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> ch = get_global_id(2) % filter_depth; <span class="comment">// input feature map</span></div>
257<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> batch = get_global_id(2) / filter_depth; <span class="comment">// the batch</span></div>
258<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160;</div>
259<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; <span class="comment">// Calculate input indeces</span></div>
260<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> xi = xc * STRIDE_X;</div>
261<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> yi = yc * STRIDE_Y;</div>
262<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160;</div>
263<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; <span class="comment">// Calculate output indeces</span></div>
264<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> xo = ch * KERNEL_WIDTH * KERNEL_HEIGHT;</div>
265<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> yo = xc + yc * CONVOLVED_WIDTH; <span class="comment">// Index of the convolution</span></div>
266<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160;</div>
267<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; <span class="comment">// Get input and output address</span></div>
268<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + xi * src_stride_x + yi * src_stride_y + ch * src_stride_z + batch * src_stride_w;</div>
269<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160;</div>
270<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; __global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *output_ptr = (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_ptr + dst_offset_first_element_in_bytes + yo * dst_stride_y + batch * dst_stride_w) + xo;</div>
271<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160;</div>
272<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 3)</div>
273<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; row0 = vload3(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(input_ptr + 0 * src_stride_y));</div>
274<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 3)</div>
275<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; row1 = vload3(0, (__global DATA_TYPE *)(input_ptr + 1 * src_stride_y));</div>
276<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 3)</div>
277<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; row2 = vload3(0, (__global DATA_TYPE *)(input_ptr + 2 * src_stride_y));</div>
278<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;</div>
279<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; vstore8((<a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 8))(row0.s012, row1.s012, row2.s01), 0, output_ptr);</div>
280<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; *(output_ptr + 8) = row2.s2;</div>
281<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160;</div>
282<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160;<span class="preprocessor">#ifdef HAS_BIAS</span></div>
283<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160;<span class="preprocessor"></span> <span class="keywordflow">if</span>(ch == (KERNEL_DEPTH - 1))</div>
284<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; {</div>
285<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160;<span class="preprocessor">#ifdef FIXED_POINT_POSITION</span></div>
286<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160;<span class="preprocessor"></span> *(output_ptr + 9) = (DATA_TYPE)(1 &lt;&lt; FIXED_POINT_POSITION);</div>
287<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160;<span class="preprocessor">#else // FIXED_POINT_POSITION</span></div>
288<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160;<span class="preprocessor"></span> *(output_ptr + 9) = 1.0f;</div>
289<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160;<span class="preprocessor">#endif // FIXED_POINT_POSITION</span></div>
290<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160;<span class="preprocessor"></span> }</div>
291<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160;<span class="preprocessor">#endif // HAS_BIAS</span></div>
292<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160;<span class="preprocessor"></span>}</div>
293<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160;<span class="preprocessor">#endif //defined(CONVOLVED_WIDTH) &amp;&amp; defined(STRIDE_X) &amp;&amp; defined(STRIDE_Y) &amp;&amp; defined(PAD_X) &amp;&amp; defined(PAD_Y) &amp;&amp; defined(KERNEL_WIDTH) &amp;&amp; defined(KERNEL_HEIGHT) &amp;&amp; defined(KERNEL_DEPTH) &amp;&amp; defined(SRC_WIDTH) &amp;&amp; defined(SRC_HEIGHT)</span></div>
294<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160;<span class="preprocessor"></span></div>
295<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160;<span class="preprocessor">#if defined(WIDTH_OUTPUT)</span></div>
296<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160;<span class="preprocessor"></span></div>
297<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160;__kernel <span class="keywordtype">void</span> col2im(</div>
298<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div>
299<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(dst),</div>
300<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; uint dst_stride_w)</div>
301<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160;{</div>
302<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> src = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(src);</div>
303<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> dst = <a class="code" href="helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(dst);</div>
304<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160;</div>
305<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; <span class="comment">// Compute output offset</span></div>
306<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; <span class="keywordtype">int</span> idx = get_global_id(0) * dst.<a class="code" href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">stride_z</a> + (get_global_id(1) / WIDTH_OUTPUT) * dst_stride_y + (get_global_id(1) % WIDTH_OUTPUT) * dst_stride_x + get_global_id(2) * dst_stride_w;</div>
307<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160;</div>
308<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; <span class="comment">// Store value</span></div>
309<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; *((__global DATA_TYPE *)(dst.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + idx)) = *((__global DATA_TYPE *)(src.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>));</div>
310<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160;}</div>
311<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160;<span class="preprocessor">#endif // defined(WIDTH_OUTPUT)</span></div>
312<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160;<span class="preprocessor"></span></div>
313<div class="line"><a name="l00309"></a><span class="lineno"><a class="line" href="convolution__layer_8cl.xhtml#a6f31f2c8d606e1b57d9bdfacd416024c"> 309</a></span>&#160;__kernel <span class="keywordtype">void</span> <a class="code" href="convolution__layer_8cl.xhtml#a6f31f2c8d606e1b57d9bdfacd416024c">im2col_reduced</a>(</div>
314<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div>
315<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(dst),</div>
316<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; uint width, uint height)</div>
317<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160;{</div>
318<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> src = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(src);</div>
319<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160;</div>
320<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; <span class="keyword">const</span> uint image_size = width * height;</div>
321<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160;</div>
322<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; __global uchar *tmp_out_ptr = dst_ptr + dst_offset_first_element_in_bytes + (get_global_id(0) + get_global_id(1) * width + get_global_id(2) * image_size) * dst_stride_x;</div>
323<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160;</div>
324<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; *((__global DATA_TYPE *)tmp_out_ptr) = *((__global DATA_TYPE *)src.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div>
325<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160;</div>
326<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160;<span class="preprocessor">#ifdef HAS_BIAS</span></div>
327<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160;<span class="preprocessor"></span> <span class="comment">// If it is the last thread in the 3 dimensional workgroup</span></div>
328<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; <span class="keywordflow">if</span>(get_global_id(0) == (get_global_size(0) - 1) &amp;&amp; get_global_id(1) == (get_global_size(1) - 1) &amp;&amp; get_global_id(2) == (get_global_size(2) - 1))</div>
329<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160; {</div>
330<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; tmp_out_ptr += dst_stride_x;</div>
331<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160;<span class="preprocessor">#ifdef FIXED_POINT_POSITION</span></div>
332<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160;<span class="preprocessor"></span> *((__global DATA_TYPE *)tmp_out_ptr) = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)(1 &lt;&lt; FIXED_POINT_POSITION);</div>
333<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160;<span class="preprocessor">#else // FIXED_POINT_POSITION</span></div>
334<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160;<span class="preprocessor"></span> *((__global DATA_TYPE *)tmp_out_ptr) = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)1;</div>
335<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160;<span class="preprocessor">#endif // FIXED_POINT_POSITION</span></div>
336<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160;<span class="preprocessor"></span> }</div>
337<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160;<span class="preprocessor">#endif // HAS_BIAS</span></div>
338<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160;<span class="preprocessor"></span>}</div>
Kaizenbf8b01d2017-10-12 14:26:51 +0100[diff] [blame^]339<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#l00111">helpers.h:111</a></div></div>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]340<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>
Kaizenbf8b01d2017-10-12 14:26:51 +0100[diff] [blame^]341<div class="ttc" id="struct_tensor3_d_xhtml_ad5ff7a2b2bd0eec50fe09c254b127d1c"><div class="ttname"><a href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">Tensor3D::stride_z</a></div><div class="ttdeci">int stride_z</div><div class="ttdoc">Stride of the image in Z dimension (in bytes) </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00149">helpers.h:149</a></div></div>
342<div class="ttc" id="helpers_8h_xhtml_a22f42fcf2077d951271df83b55c1a71a"><div class="ttname"><a href="helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a></div><div class="ttdeci">#define IMAGE_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00060">helpers.h:60</a></div></div>
343<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#l00143">helpers.h:143</a></div></div>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]344<div class="ttc" id="helpers_8h_xhtml"><div class="ttname"><a href="helpers_8h.xhtml">helpers.h</a></div></div>
Kaizen8938bd32017-09-28 14:38:23 +0100[diff] [blame]345<div class="ttc" id="fixed__point_8h_xhtml"><div class="ttname"><a href="fixed__point_8h.xhtml">fixed_point.h</a></div></div>
Kaizenbf8b01d2017-10-12 14:26:51 +0100[diff] [blame^]346<div class="ttc" id="helpers_8h_xhtml_a40a6eb9f2a7712f08d6bb8ff6c9e6ca7"><div class="ttname"><a href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a></div><div class="ttdeci">#define VECTOR_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00054">helpers.h:54</a></div></div>
347<div class="ttc" id="helpers_8h_xhtml_a6b83038822d1ae7ab619b684ed3b7fc0"><div class="ttname"><a href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a></div><div class="ttdeci">#define TENSOR3D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00068">helpers.h:68</a></div></div>
Kaizen8938bd32017-09-28 14:38:23 +0100[diff] [blame]348<div class="ttc" id="convolution__layer_8cl_xhtml_a6f31f2c8d606e1b57d9bdfacd416024c"><div class="ttname"><a href="convolution__layer_8cl.xhtml#a6f31f2c8d606e1b57d9bdfacd416024c">im2col_reduced</a></div><div class="ttdeci">__kernel void im2col_reduced(__global uchar *src_ptr, uint src_stride_x, uint src_step_x, uint src_stride_y, uint src_step_y, uint src_stride_z, uint src_step_z, uint src_offset_first_element_in_bytes, __global uchar *dst_ptr, uint dst_stride_x, uint dst_step_x, uint dst_offset_first_element_in_bytes, uint width, uint height)</div><div class="ttdoc">This kernel reshapes the tensor&#39;s low three dimensions to single row for GEMM operation. </div><div class="ttdef"><b>Definition:</b> <a href="convolution__layer_8cl_source.xhtml#l00309">convolution_layer.cl:309</a></div></div>
349<div class="ttc" id="fixed__point_8h_xhtml_a36f754c05b6fddf6df0d8d0a74f8159f"><div class="ttname"><a href="fixed__point_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="fixed__point_8h_source.xhtml#l00093">fixed_point.h:93</a></div></div>
Kaizenbf8b01d2017-10-12 14:26:51 +0100[diff] [blame^]350<div class="ttc" id="helpers_8h_xhtml_a79e8e562daa6599317d2d1cd86ef1bf2"><div class="ttname"><a href="helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00115">helpers.h:115</a></div></div>
351<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#l00145">helpers.h:145</a></div></div>
Kaizen8938bd32017-09-28 14:38:23 +0100[diff] [blame]352<div class="ttc" id="convolution__layer_8cl_xhtml_ab6358b28d1e7bc946950075d94412013"><div class="ttname"><a href="convolution__layer_8cl.xhtml#ab6358b28d1e7bc946950075d94412013">reshape_to_columns</a></div><div class="ttdeci">__kernel void reshape_to_columns(__global uchar *src_ptr, uint src_stride_x, uint src_step_x, uint src_stride_y, uint src_step_y, uint src_stride_z, uint src_step_z, uint src_offset_first_element_in_bytes, __global uchar *dst_ptr, uint dst_stride_x, uint dst_step_x, uint dst_stride_y, uint dst_step_y, uint dst_offset_first_element_in_bytes, __global uchar *bias_ptr, uint bias_stride_x, uint bias_step_x, uint bias_offset_first_element_in_bytes, uint width, uint height, uint depth, uint total_filters)</div><div class="ttdoc">This kernel reshapes the tensor&#39;s low three dimensions to single column. </div><div class="ttdef"><b>Definition:</b> <a href="convolution__layer_8cl_source.xhtml#l00057">convolution_layer.cl:57</a></div></div>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]353</div><!-- fragment --></div><!-- contents -->
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Kaizen8938bd32017-09-28 14:38:23 +0100[diff] [blame]358 <li class="navelem"><a class="el" href="dir_55b5a5006e943fb664ff8cff3cfe7768.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_f6c3ae42d7e27145d0a3c3e38ca1c000.xhtml">core</a></li><li class="navelem"><a class="el" href="dir_1b7ae9123c88e650426d50d95c19d414.xhtml">CL</a></li><li class="navelem"><a class="el" href="dir_b7c3d80b0dadb2139bc73b7161751c12.xhtml">cl_kernels</a></li><li class="navelem"><a class="el" href="convolution__layer_8cl.xhtml">convolution_layer.cl</a></li>
Kaizenbf8b01d2017-10-12 14:26:51 +0100[diff] [blame^]359 <li class="footer">Generated on Thu Oct 12 2017 14:26:33 for Compute Library by
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]360 <a href="http://www.doxygen.org/index.html">
Kaizen8938bd32017-09-28 14:38:23 +0100[diff] [blame]361 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6 </li>
Anthony Barbier871448e2017-03-24 14:54:29 +0000[diff] [blame]362 </ul>
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