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<div class="title">direct_convolution3x3.cl</div> </div>
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-<a href="direct__convolution3x3_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> <span class="comment">/*</span></div>
-<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2016, 2017 ARM Limited.</span></div>
-<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div>
-<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div>
-<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div>
-<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div>
-<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div>
-<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div>
-<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div>
-<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div>
-<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div>
-<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div>
-<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div>
-<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div>
-<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div>
-<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div>
-<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div>
-<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div>
-<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div>
-<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div>
-<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div>
-<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div>
-<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="helpers_8h.xhtml">helpers.h</a>"</span></div>
-<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div>
-<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#if defined(FIXED_POINT_POSITION)</span></div>
-<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor"></span><span class="preprocessor">#include "<a class="code" href="fixed__point_8h.xhtml">fixed_point.h</a>"</span></div>
-<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div>
-<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#define ADD_OP(a, b) ADD_SAT_OP_EXPAND((a), (b), DATA_TYPE_PROMOTED, 8)</span></div>
-<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor"></span><span class="preprocessor">#define MUL_OP(a, b) MUL_SAT_OP_EXPAND(CONVERT((a), VEC_DATA_TYPE(DATA_TYPE_PROMOTED, 8)), CONVERT((b), VEC_DATA_TYPE(DATA_TYPE_PROMOTED, 8)), DATA_TYPE_PROMOTED, 8, FIXED_POINT_POSITION)</span></div>
-<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor"></span></div>
-<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment">// There is no need to have a larger intermediate type for qs32 because all the arguments are already promoted</span></div>
-<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <a class="code" href="fixed__point_8h.xhtml#a329eb419d445e448ec885a2f69a1fb0f">MULQ_SAT_IMPL</a>(<a class="code" href="fixed__point_8h.xhtml#af8a54f984958bddf4f24cd95867a82f5">qs32x8</a>, <a class="code" href="fixed__point_8h.xhtml#af8a54f984958bddf4f24cd95867a82f5">qs32x8</a>)</div>
-<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div>
-<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#else </span><span class="comment">/* FIXED_POINT_POSITION */</span><span class="preprocessor"></span></div>
-<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor"></span></div>
-<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#undef CONVERT_SAT</span></div>
-<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor"></span></div>
-<div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="direct__convolution3x3_8cl.xhtml#aebbeb1f22eca3a3f4c3e019e8f419f39"> 39</a></span> <span class="preprocessor">#define ADD_OP(a, b) ((a) + (b))</span></div>
-<div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="direct__convolution3x3_8cl.xhtml#ad3cc858846806e6b1d3694b9d0a2e6da"> 40</a></span> <span class="preprocessor"></span><span class="preprocessor">#define MUL_OP(a, b) ((a) * (b))</span></div>
-<div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="direct__convolution3x3_8cl.xhtml#a1f15728672380ade7a238f5e783d54d2"> 41</a></span> <span class="preprocessor"></span><span class="preprocessor">#define CONVERT_SAT(a, b) ((a))</span></div>
-<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor"></span></div>
-<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="preprocessor">#endif </span><span class="comment">/* FIXED_POINT_POSITION */</span><span class="preprocessor"></span></div>
-<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="preprocessor"></span></div>
-<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="preprocessor">#if defined(DATA_TYPE) && defined(STRIDE_X) && defined(WEIGHTS_DEPTH)</span></div>
-<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="preprocessor"></span></div>
-<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="preprocessor">#if STRIDE_X == 1</span></div>
-<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="preprocessor"></span><span class="preprocessor">#define CONVOLUTION1x3(acc, src_row_ptr, weights_row_ptr) CONVOLUTION1x3_STRIDE1(acc, src_row_ptr, weights_row_ptr)</span></div>
-<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="preprocessor"></span><span class="preprocessor">#elif STRIDE_X == 2 </span><span class="comment">/* STRIDE_X == 1 */</span><span class="preprocessor"></span></div>
-<div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="preprocessor"></span><span class="preprocessor">#define CONVOLUTION1x3(acc, src_row_ptr, weights_row_ptr) CONVOLUTION1x3_STRIDE2(acc, src_row_ptr, weights_row_ptr)</span></div>
-<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="preprocessor"></span><span class="preprocessor">#else </span><span class="comment">/* STRIDE_X not equals 1 or 2 */</span><span class="preprocessor"></span></div>
-<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="preprocessor"></span><span class="preprocessor">#error "STRIDE_X larger than 2 is not supported"</span></div>
-<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="preprocessor"></span><span class="preprocessor">#endif </span><span class="comment">/* STRIDE_X == 2 */</span><span class="preprocessor"></span></div>
-<div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="preprocessor"></span></div>
-<div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="preprocessor">#define CONVOLUTION1x3_STRIDE1(acc, src_row_ptr, weights_row_ptr) \</span></div>
-<div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="preprocessor"> ({ \</span></div>
-<div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="preprocessor"> VEC_DATA_TYPE(DATA_TYPE, 3) \</span></div>
-<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="preprocessor"> weights_values0 = vload3(0, weights_row_ptr); \</span></div>
-<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="preprocessor"> VEC_DATA_TYPE(DATA_TYPE, 8) \</span></div>
-<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="preprocessor"> src0 = vload8(0, src_row_ptr); \</span></div>
-<div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="preprocessor"> VEC_DATA_TYPE(DATA_TYPE, 2) \</span></div>
-<div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="preprocessor"> src1 = vload2(0, src_row_ptr + 8); \</span></div>
-<div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="preprocessor"> \</span></div>
-<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="preprocessor"> acc = ADD_OP(acc, MUL_OP(src0, (VEC_DATA_TYPE(DATA_TYPE, 8))weights_values0.s0)); \</span></div>
-<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="preprocessor"> acc = ADD_OP(acc, MUL_OP((VEC_DATA_TYPE(DATA_TYPE, 8))(src0.s1234, src0.s567, src1.s0), (VEC_DATA_TYPE(DATA_TYPE, 8))weights_values0.s1)); \</span></div>
-<div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="preprocessor"> acc = ADD_OP(acc, MUL_OP((VEC_DATA_TYPE(DATA_TYPE, 8))(src0.s234, src0.s567, src1.s01), (VEC_DATA_TYPE(DATA_TYPE, 8))weights_values0.s2)); \</span></div>
-<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="preprocessor"> })</span></div>
-<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="preprocessor"></span></div>
-<div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="preprocessor">#define CONVOLUTION1x3_STRIDE2(acc, src_row_ptr, weights_row_ptr) \</span></div>
-<div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="preprocessor"> ({ \</span></div>
-<div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="preprocessor"> VEC_DATA_TYPE(DATA_TYPE, 3) \</span></div>
-<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="preprocessor"> weights_values0 = vload3(0, weights_row_ptr); \</span></div>
-<div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="preprocessor"> VEC_DATA_TYPE(DATA_TYPE, 16) \</span></div>
-<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="preprocessor"> src0 = vload16(0, src_row_ptr); \</span></div>
-<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="preprocessor"> DATA_TYPE src1 = *(src_row_ptr + 16); \</span></div>
-<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="preprocessor"> \</span></div>
-<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="preprocessor"> acc = ADD_OP(acc, MUL_OP(src0.even, (VEC_DATA_TYPE(DATA_TYPE, 8))weights_values0.s0)); \</span></div>
-<div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="preprocessor"> acc = ADD_OP(acc, MUL_OP((VEC_DATA_TYPE(DATA_TYPE, 8))(src0.s1357, src0.s9BDF), (VEC_DATA_TYPE(DATA_TYPE, 8))weights_values0.s1)); \</span></div>
-<div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="preprocessor"> acc = ADD_OP(acc, MUL_OP((VEC_DATA_TYPE(DATA_TYPE, 8))(src0.s2468, src0.sACE, src1), (VEC_DATA_TYPE(DATA_TYPE, 8))weights_values0.s2)); \</span></div>
-<div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="preprocessor"> })</span></div>
-<div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="preprocessor"></span></div>
-<div class="line"><a name="l00119"></a><span class="lineno"> 119</span> __kernel <span class="keywordtype">void</span> direct_convolution3x3(</div>
-<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div>
-<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(dst),</div>
-<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(weights),</div>
-<div class="line"><a name="l00123"></a><span class="lineno"> 123</span> #ifdef HAS_BIAS</div>
-<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases),</div>
-<div class="line"><a name="l00125"></a><span class="lineno"> 125</span> #endif <span class="comment">/* defined(HAS_BIAS) */</span></div>
-<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> weights_stride_w)</div>
-<div class="line"><a name="l00127"></a><span class="lineno"> 127</span> {</div>
-<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <a class="code" href="struct_image.xhtml">Image</a> src = <a class="code" href="helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(src);</div>
-<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> weights = <a class="code" href="helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(weights);</div>
-<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> dst = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(dst);</div>
-<div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div>
-<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE_PROMOTED, 8)</div>
-<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  pixels0 = 0;</div>
-<div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div>
-<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  __global uchar *weights_addr = (__global uchar *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&weights, 0, 0, 0);</div>
-<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  __global uchar *src_addr = (__global uchar *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&src, 0, 0);</div>
-<div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div>
-<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> kernel_index = get_global_id(2);</div>
-<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  weights_addr += kernel_index * weights_stride_w;</div>
-<div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div>
-<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">for</span>(<span class="keyword">volatile</span> <span class="keywordtype">int</span> d = 0; d < WEIGHTS_DEPTH; ++d)</div>
-<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {</div>
-<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  CONVOLUTION1x3(pixels0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 0 * src_stride_y), (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(weights_addr + 0 * weights_stride_y));</div>
-<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  CONVOLUTION1x3(pixels0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 1 * src_stride_y), (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(weights_addr + 1 * weights_stride_y));</div>
-<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  CONVOLUTION1x3(pixels0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 2 * src_stride_y), (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(weights_addr + 2 * weights_stride_y));</div>
-<div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div>
-<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  src_addr += src_stride_z;</div>
-<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  weights_addr += weights_stride_z;</div>
-<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  }</div>
-<div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div>
-<div class="line"><a name="l00151"></a><span class="lineno"> 151</span> <span class="preprocessor">#ifdef HAS_BIAS</span></div>
-<div class="line"><a name="l00152"></a><span class="lineno"> 152</span> <span class="preprocessor"></span> <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div>
-<div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div>
-<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  pixels0 = <a class="code" href="direct__convolution3x3_8cl.xhtml#aebbeb1f22eca3a3f4c3e019e8f419f39">ADD_OP</a>(pixels0, (<a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE_PROMOTED, 8)) * ((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&biases, kernel_index))));</div>
-<div class="line"><a name="l00155"></a><span class="lineno"> 155</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div>
-<div class="line"><a name="l00156"></a><span class="lineno"> 156</span> <span class="preprocessor"></span></div>
-<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  vstore8(<a class="code" href="direct__convolution3x3_8cl.xhtml#a1f15728672380ade7a238f5e783d54d2">CONVERT_SAT</a>(pixels0, <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div>
-<div class="line"><a name="l00158"></a><span class="lineno"> 158</span> }</div>
-<div class="line"><a name="l00159"></a><span class="lineno"> 159</span> <span class="preprocessor">#endif //defined(DATA_TYPE) && defined(STRIDE_X) && defined(WEIGHTS_DEPTH)</span></div>
-<div class="line"><a name="l00160"></a><span class="lineno"> 160</span> <span class="preprocessor"></span></div>
-<div class="line"><a name="l00161"></a><span class="lineno"> 161</span> <span class="preprocessor">#if defined(WEIGHTS_DEPTH)</span></div>
-<div class="line"><a name="l00162"></a><span class="lineno"> 162</span> <span class="preprocessor"></span></div>
-<div class="line"><a name="l00163"></a><span class="lineno"> 163</span> <span class="preprocessor">#define CONVOLUTION1x3_BIFROST(acc, src0, src1, weights_row0) \</span></div>
-<div class="line"><a name="l00164"></a><span class="lineno"> 164</span> <span class="preprocessor"> ({ \</span></div>
-<div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="preprocessor"> acc.s0 = mad(src0.s0, weights_row0.s0, acc.s0); \</span></div>
-<div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="preprocessor"> acc.s1 = mad(src0.s1, weights_row0.s0, acc.s1); \</span></div>
-<div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="preprocessor"> acc.s2 = mad(src0.s2, weights_row0.s0, acc.s2); \</span></div>
-<div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="preprocessor"> acc.s3 = mad(src0.s3, weights_row0.s0, acc.s3); \</span></div>
-<div class="line"><a name="l00169"></a><span class="lineno"> 169</span> <span class="preprocessor"> acc.s0 = mad(src0.s1, weights_row0.s1, acc.s0); \</span></div>
-<div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="preprocessor"> acc.s1 = mad(src0.s2, weights_row0.s1, acc.s1); \</span></div>
-<div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="preprocessor"> acc.s2 = mad(src0.s3, weights_row0.s1, acc.s2); \</span></div>
-<div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="preprocessor"> acc.s3 = mad(src1.s0, weights_row0.s1, acc.s3); \</span></div>
-<div class="line"><a name="l00173"></a><span class="lineno"> 173</span> <span class="preprocessor"> acc.s0 = mad(src0.s2, weights_row0.s2, acc.s0); \</span></div>
-<div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="preprocessor"> acc.s1 = mad(src0.s3, weights_row0.s2, acc.s1); \</span></div>
-<div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <span class="preprocessor"> acc.s2 = mad(src1.s0, weights_row0.s2, acc.s2); \</span></div>
-<div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="preprocessor"> acc.s3 = mad(src1.s1, weights_row0.s2, acc.s3); \</span></div>
-<div class="line"><a name="l00177"></a><span class="lineno"> 177</span> <span class="preprocessor"> })</span></div>
-<div class="line"><a name="l00178"></a><span class="lineno"> 178</span> <span class="preprocessor"></span></div>
-<div class="line"><a name="l00215"></a><span class="lineno"> 215</span> __kernel <span class="keywordtype">void</span> direct_convolution3x3_f32_bifrost(</div>
-<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div>
-<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(dst),</div>
-<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(weights),</div>
-<div class="line"><a name="l00219"></a><span class="lineno"> 219</span> #ifdef HAS_BIAS</div>
-<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases),</div>
-<div class="line"><a name="l00221"></a><span class="lineno"> 221</span> #endif <span class="comment">/* defined(HAS_BIAS) */</span></div>
-<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> weights_stride_w)</div>
-<div class="line"><a name="l00223"></a><span class="lineno"> 223</span> {</div>
-<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="comment">// Get the kernel index</span></div>
-<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> kernel_index = get_global_id(2);</div>
-<div class="line"><a name="l00226"></a><span class="lineno"> 226</span> </div>
-<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="struct_image.xhtml">Image</a> src = <a class="code" href="helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(src);</div>
-<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> dst = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(dst);</div>
-<div class="line"><a name="l00229"></a><span class="lineno"> 229</span> </div>
-<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  float4 pixels0 = 0;</div>
-<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  float4 pixels1 = 0;</div>
-<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  float4 pixels2 = 0;</div>
-<div class="line"><a name="l00233"></a><span class="lineno"> 233</span> </div>
-<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  __global uchar *weights_addr = (__global uchar *)(weights_ptr + weights_offset_first_element_in_bytes + kernel_index * weights_stride_w);</div>
-<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  __global uchar *src_addr = (__global uchar *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&src, 0, 0);</div>
-<div class="line"><a name="l00236"></a><span class="lineno"> 236</span> </div>
-<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="comment">// Note: Since each work-item computes 4x3 elements, we need to load 5 rows from the input tensor</span></div>
-<div class="line"><a name="l00238"></a><span class="lineno"> 238</span> </div>
-<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">for</span>(ushort d = 0; d < (ushort)WEIGHTS_DEPTH; ++d)</div>
-<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  {</div>
-<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="comment">// Load the weights</span></div>
-<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  float3 weights_row0 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 0 * weights_stride_y));</div>
-<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  float3 weights_row1 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 1 * weights_stride_y));</div>
-<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  float3 weights_row2 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 2 * weights_stride_y));</div>
-<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  float4 src0;</div>
-<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  float2 src1;</div>
-<div class="line"><a name="l00247"></a><span class="lineno"> 247</span> </div>
-<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="comment">// Load values from row0 of input tensor</span></div>
-<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  src0 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 0 * src_stride_y));</div>
-<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  src1 = vload2(0, (__global <span class="keywordtype">float</span> *)(src_addr + 0 * src_stride_y) + 4);</div>
-<div class="line"><a name="l00251"></a><span class="lineno"> 251</span> </div>
-<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  CONVOLUTION1x3_BIFROST(pixels0, src0, src1, weights_row0);</div>
-<div class="line"><a name="l00253"></a><span class="lineno"> 253</span> </div>
-<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="comment">// Load values from row1 of input tensor</span></div>
-<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  src0 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 1 * src_stride_y));</div>
-<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  src1 = vload2(0, (__global <span class="keywordtype">float</span> *)(src_addr + 1 * src_stride_y) + 4);</div>
-<div class="line"><a name="l00257"></a><span class="lineno"> 257</span> </div>
-<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="comment">// Accumulate</span></div>
-<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  CONVOLUTION1x3_BIFROST(pixels0, src0, src1, weights_row1);</div>
-<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  CONVOLUTION1x3_BIFROST(pixels1, src0, src1, weights_row0);</div>
-<div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div>
-<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="comment">// Load values from row2 of input tensor</span></div>
-<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  src0 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 2 * src_stride_y));</div>
-<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  src1 = vload2(0, (__global <span class="keywordtype">float</span> *)(src_addr + 2 * src_stride_y) + 4);</div>
-<div class="line"><a name="l00265"></a><span class="lineno"> 265</span> </div>
-<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="comment">// Accumulate</span></div>
-<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  CONVOLUTION1x3_BIFROST(pixels0, src0, src1, weights_row2);</div>
-<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  CONVOLUTION1x3_BIFROST(pixels1, src0, src1, weights_row1);</div>
-<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  CONVOLUTION1x3_BIFROST(pixels2, src0, src1, weights_row0);</div>
-<div class="line"><a name="l00270"></a><span class="lineno"> 270</span> </div>
-<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="comment">// Load values from row3 of input tensor</span></div>
-<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  src0 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 3 * src_stride_y));</div>
-<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  src1 = vload2(0, (__global <span class="keywordtype">float</span> *)(src_addr + 3 * src_stride_y) + 4);</div>
-<div class="line"><a name="l00274"></a><span class="lineno"> 274</span> </div>
-<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="comment">// Accumulate</span></div>
-<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  CONVOLUTION1x3_BIFROST(pixels1, src0, src1, weights_row2);</div>
-<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  CONVOLUTION1x3_BIFROST(pixels2, src0, src1, weights_row1);</div>
-<div class="line"><a name="l00278"></a><span class="lineno"> 278</span> </div>
-<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="comment">// Row4</span></div>
-<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  src0 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 4 * src_stride_y));</div>
-<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  src1 = vload2(0, (__global <span class="keywordtype">float</span> *)(src_addr + 4 * src_stride_y) + 4);</div>
-<div class="line"><a name="l00282"></a><span class="lineno"> 282</span> </div>
-<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="comment">// Accumulate</span></div>
-<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  CONVOLUTION1x3_BIFROST(pixels2, src0, src1, weights_row2);</div>
-<div class="line"><a name="l00285"></a><span class="lineno"> 285</span> </div>
-<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  src_addr += src_stride_z;</div>
-<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  weights_addr += weights_stride_z;</div>
-<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  }</div>
-<div class="line"><a name="l00289"></a><span class="lineno"> 289</span> </div>
-<div class="line"><a name="l00290"></a><span class="lineno"> 290</span> <span class="preprocessor">#ifdef HAS_BIAS</span></div>
-<div class="line"><a name="l00291"></a><span class="lineno"> 291</span> <span class="preprocessor"></span> <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div>
-<div class="line"><a name="l00292"></a><span class="lineno"> 292</span> </div>
-<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordtype">float</span> bias = (float) * ((__global <span class="keywordtype">float</span> *)(<a class="code" href="helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&biases, kernel_index)));</div>
-<div class="line"><a name="l00294"></a><span class="lineno"> 294</span> </div>
-<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  pixels0 += (float4)bias;</div>
-<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  pixels1 += (float4)bias;</div>
-<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  pixels2 += (float4)bias;</div>
-<div class="line"><a name="l00298"></a><span class="lineno"> 298</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div>
-<div class="line"><a name="l00299"></a><span class="lineno"> 299</span> <span class="preprocessor"></span></div>
-<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  vstore4(pixels0, 0, (__global <span class="keywordtype">float</span> *)(dst.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + 0 * dst_stride_y));</div>
-<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  vstore4(pixels1, 0, (__global <span class="keywordtype">float</span> *)(dst.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + 1 * dst_stride_y));</div>
-<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  vstore4(pixels2, 0, (__global <span class="keywordtype">float</span> *)(dst.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + 2 * dst_stride_y));</div>
-<div class="line"><a name="l00303"></a><span class="lineno"> 303</span> }</div>
-<div class="line"><a name="l00304"></a><span class="lineno"> 304</span> <span class="preprocessor">#endif // defined(WEIGHTS_DEPTH)</span></div>
-<div class="ttc" id="struct_vector_xhtml"><div class="ttname"><a href="struct_vector.xhtml">Vector</a></div><div class="ttdoc">Structure to hold Vector information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00126">helpers.h:126</a></div></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#l00111">helpers.h:111</a></div></div>
+<a href="direct__convolution3x3_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> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2016, 2017 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="helpers_8h.xhtml">helpers.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#if defined(FIXED_POINT_POSITION)</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="fixed__point_8h.xhtml">fixed_point.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#define ADD_OP(a, b) ADD_SAT_OP_EXPAND((a), (b), DATA_TYPE_PROMOTED, 8)</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#define MUL_OP(a, b) MUL_SAT_OP_EXPAND(CONVERT((a), VEC_DATA_TYPE(DATA_TYPE_PROMOTED, 8)), CONVERT((b), VEC_DATA_TYPE(DATA_TYPE_PROMOTED, 8)), DATA_TYPE_PROMOTED, 8, FIXED_POINT_POSITION)</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment">// There is no need to have a larger intermediate type for qs32 because all the arguments are already promoted</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <a class="code" href="fixed__point_8h.xhtml#a329eb419d445e448ec885a2f69a1fb0f">MULQ_SAT_IMPL</a>(<a class="code" href="fixed__point_8h.xhtml#af8a54f984958bddf4f24cd95867a82f5">qs32x8</a>, <a class="code" href="fixed__point_8h.xhtml#af8a54f984958bddf4f24cd95867a82f5">qs32x8</a>)</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#else </span><span class="comment">/* FIXED_POINT_POSITION */</span><span class="preprocessor"></span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#undef CONVERT_SAT</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="direct__convolution3x3_8cl.xhtml#aebbeb1f22eca3a3f4c3e019e8f419f39"> 39</a></span> <span class="preprocessor">#define ADD_OP(a, b) ((a) + (b))</span></div><div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="direct__convolution3x3_8cl.xhtml#ad3cc858846806e6b1d3694b9d0a2e6da"> 40</a></span> <span class="preprocessor">#define MUL_OP(a, b) ((a) * (b))</span></div><div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="direct__convolution3x3_8cl.xhtml#a1f15728672380ade7a238f5e783d54d2"> 41</a></span> <span class="preprocessor">#define CONVERT_SAT(a, b) ((a))</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="preprocessor">#endif </span><span class="comment">/* FIXED_POINT_POSITION */</span><span class="preprocessor"></span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="preprocessor">#if defined(DATA_TYPE) && defined(STRIDE_X) && defined(WEIGHTS_DEPTH)</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="preprocessor">#if STRIDE_X == 1</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="preprocessor">#define CONVOLUTION1x3(acc, src_row_ptr, weights_row_ptr) CONVOLUTION1x3_STRIDE1(acc, src_row_ptr, weights_row_ptr)</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="preprocessor">#elif STRIDE_X == 2 </span><span class="comment">/* STRIDE_X == 1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="preprocessor">#define CONVOLUTION1x3(acc, src_row_ptr, weights_row_ptr) CONVOLUTION1x3_STRIDE2(acc, src_row_ptr, weights_row_ptr)</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="preprocessor">#else </span><span class="comment">/* STRIDE_X not equals 1 or 2 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="preprocessor">#error "STRIDE_X larger than 2 is not supported"</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="preprocessor">#endif </span><span class="comment">/* STRIDE_X == 2 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="preprocessor">#define CONVOLUTION1x3_STRIDE1(acc, src_row_ptr, weights_row_ptr) \</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="preprocessor"> VEC_DATA_TYPE(DATA_TYPE, 3) \</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="preprocessor"> weights_values0 = vload3(0, weights_row_ptr); \</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="preprocessor"> VEC_DATA_TYPE(DATA_TYPE, 8) \</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="preprocessor"> src0 = vload8(0, src_row_ptr); \</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="preprocessor"> VEC_DATA_TYPE(DATA_TYPE, 2) \</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="preprocessor"> src1 = vload2(0, src_row_ptr + 8); \</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="preprocessor"> \</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="preprocessor"> acc = ADD_OP(acc, MUL_OP(src0, (VEC_DATA_TYPE(DATA_TYPE, 8))weights_values0.s0)); \</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="preprocessor"> acc = ADD_OP(acc, MUL_OP((VEC_DATA_TYPE(DATA_TYPE, 8))(src0.s1234, src0.s567, src1.s0), (VEC_DATA_TYPE(DATA_TYPE, 8))weights_values0.s1)); \</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="preprocessor"> acc = ADD_OP(acc, MUL_OP((VEC_DATA_TYPE(DATA_TYPE, 8))(src0.s234, src0.s567, src1.s01), (VEC_DATA_TYPE(DATA_TYPE, 8))weights_values0.s2)); \</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="preprocessor"> })</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="preprocessor">#define CONVOLUTION1x3_STRIDE2(acc, src_row_ptr, weights_row_ptr) \</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="preprocessor"> VEC_DATA_TYPE(DATA_TYPE, 3) \</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="preprocessor"> weights_values0 = vload3(0, weights_row_ptr); \</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="preprocessor"> VEC_DATA_TYPE(DATA_TYPE, 16) \</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="preprocessor"> src0 = vload16(0, src_row_ptr); \</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="preprocessor"> DATA_TYPE src1 = *(src_row_ptr + 16); \</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="preprocessor"> \</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="preprocessor"> acc = ADD_OP(acc, MUL_OP(src0.even, (VEC_DATA_TYPE(DATA_TYPE, 8))weights_values0.s0)); \</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="preprocessor"> acc = ADD_OP(acc, MUL_OP((VEC_DATA_TYPE(DATA_TYPE, 8))(src0.s1357, src0.s9BDF), (VEC_DATA_TYPE(DATA_TYPE, 8))weights_values0.s1)); \</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="preprocessor"> acc = ADD_OP(acc, MUL_OP((VEC_DATA_TYPE(DATA_TYPE, 8))(src0.s2468, src0.sACE, src1), (VEC_DATA_TYPE(DATA_TYPE, 8))weights_values0.s2)); \</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="preprocessor"> })</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> __kernel <span class="keywordtype">void</span> direct_convolution3x3(</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>),</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(weights),</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> #ifdef HAS_BIAS</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases),</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> #endif <span class="comment">/* defined(HAS_BIAS) */</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> weights_stride_w)</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> {</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a> = <a class="code" href="helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> weights = <a class="code" href="helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(weights);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(dst);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE_PROMOTED, 8)</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  pixels0 = 0;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  __global uchar *weights_addr = (__global uchar *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&weights, 0, 0, 0);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  __global uchar *src_addr = (__global uchar *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&src, 0, 0);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> kernel_index = get_global_id(2);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  weights_addr += kernel_index * weights_stride_w;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">for</span>(<span class="keyword">volatile</span> <span class="keywordtype">int</span> d = 0; d < WEIGHTS_DEPTH; ++d)</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  CONVOLUTION1x3(pixels0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 0 * src_stride_y), (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(weights_addr + 0 * weights_stride_y));</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  CONVOLUTION1x3(pixels0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 1 * src_stride_y), (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(weights_addr + 1 * weights_stride_y));</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  CONVOLUTION1x3(pixels0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 2 * src_stride_y), (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(weights_addr + 2 * weights_stride_y));</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  src_addr += src_stride_z;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  weights_addr += weights_stride_z;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  }</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> <span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  pixels0 = <a class="code" href="direct__convolution3x3_8cl.xhtml#aebbeb1f22eca3a3f4c3e019e8f419f39">ADD_OP</a>(pixels0, (<a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE_PROMOTED, 8)) * ((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&biases, kernel_index))));</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  vstore8(<a class="code" href="direct__convolution3x3_8cl.xhtml#a1f15728672380ade7a238f5e783d54d2">CONVERT_SAT</a>(pixels0, <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> }</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> <span class="preprocessor">#endif //defined(DATA_TYPE) && defined(STRIDE_X) && defined(WEIGHTS_DEPTH)</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> </div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> <span class="preprocessor">#if defined(WEIGHTS_DEPTH)</span></div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> <span class="preprocessor">#define CONVOLUTION1x3_BIFROST(acc, src0, src1, weights_row0) \</span></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> <span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="preprocessor"> acc.s0 = mad(src0.s0, weights_row0.s0, acc.s0); \</span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="preprocessor"> acc.s1 = mad(src0.s1, weights_row0.s0, acc.s1); \</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="preprocessor"> acc.s2 = mad(src0.s2, weights_row0.s0, acc.s2); \</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="preprocessor"> acc.s3 = mad(src0.s3, weights_row0.s0, acc.s3); \</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> <span class="preprocessor"> acc.s0 = mad(src0.s1, weights_row0.s1, acc.s0); \</span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="preprocessor"> acc.s1 = mad(src0.s2, weights_row0.s1, acc.s1); \</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="preprocessor"> acc.s2 = mad(src0.s3, weights_row0.s1, acc.s2); \</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="preprocessor"> acc.s3 = mad(src1.s0, weights_row0.s1, acc.s3); \</span></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> <span class="preprocessor"> acc.s0 = mad(src0.s2, weights_row0.s2, acc.s0); \</span></div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="preprocessor"> acc.s1 = mad(src0.s3, weights_row0.s2, acc.s1); \</span></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <span class="preprocessor"> acc.s2 = mad(src1.s0, weights_row0.s2, acc.s2); \</span></div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="preprocessor"> acc.s3 = mad(src1.s1, weights_row0.s2, acc.s3); \</span></div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> <span class="preprocessor"> })</span></div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> __kernel <span class="keywordtype">void</span> direct_convolution3x3_f32_bifrost(</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>),</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(weights),</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> #ifdef HAS_BIAS</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases),</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> #endif <span class="comment">/* defined(HAS_BIAS) */</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> weights_stride_w)</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> {</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="comment">// Get the kernel index</span></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> kernel_index = get_global_id(2);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> </div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a> = <a class="code" href="helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(dst);</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> </div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  float4 pixels0 = 0;</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  float4 pixels1 = 0;</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  float4 pixels2 = 0;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> </div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  __global uchar *weights_addr = (__global uchar *)(weights_ptr + weights_offset_first_element_in_bytes + kernel_index * weights_stride_w);</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  __global uchar *src_addr = (__global uchar *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&src, 0, 0);</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> </div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="comment">// Note: Since each work-item computes 4x3 elements, we need to load 5 rows from the input tensor</span></div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> </div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">for</span>(ushort d = 0; d < (ushort)WEIGHTS_DEPTH; ++d)</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  {</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="comment">// Load the weights</span></div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  float3 weights_row0 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 0 * weights_stride_y));</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  float3 weights_row1 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 1 * weights_stride_y));</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  float3 weights_row2 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 2 * weights_stride_y));</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  float4 src0;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  float2 src1;</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> </div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="comment">// Load values from row0 of input tensor</span></div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  src0 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 0 * src_stride_y));</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  src1 = vload2(0, (__global <span class="keywordtype">float</span> *)(src_addr + 0 * src_stride_y) + 4);</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> </div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  CONVOLUTION1x3_BIFROST(pixels0, src0, src1, weights_row0);</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> </div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="comment">// Load values from row1 of input tensor</span></div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  src0 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 1 * src_stride_y));</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  src1 = vload2(0, (__global <span class="keywordtype">float</span> *)(src_addr + 1 * src_stride_y) + 4);</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> </div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="comment">// Accumulate</span></div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  CONVOLUTION1x3_BIFROST(pixels0, src0, src1, weights_row1);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  CONVOLUTION1x3_BIFROST(pixels1, src0, src1, weights_row0);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="comment">// Load values from row2 of input tensor</span></div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  src0 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 2 * src_stride_y));</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  src1 = vload2(0, (__global <span class="keywordtype">float</span> *)(src_addr + 2 * src_stride_y) + 4);</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> </div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="comment">// Accumulate</span></div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  CONVOLUTION1x3_BIFROST(pixels0, src0, src1, weights_row2);</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  CONVOLUTION1x3_BIFROST(pixels1, src0, src1, weights_row1);</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  CONVOLUTION1x3_BIFROST(pixels2, src0, src1, weights_row0);</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> </div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="comment">// Load values from row3 of input tensor</span></div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  src0 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 3 * src_stride_y));</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  src1 = vload2(0, (__global <span class="keywordtype">float</span> *)(src_addr + 3 * src_stride_y) + 4);</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> </div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="comment">// Accumulate</span></div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  CONVOLUTION1x3_BIFROST(pixels1, src0, src1, weights_row2);</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  CONVOLUTION1x3_BIFROST(pixels2, src0, src1, weights_row1);</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> </div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="comment">// Row4</span></div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  src0 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 4 * src_stride_y));</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  src1 = vload2(0, (__global <span class="keywordtype">float</span> *)(src_addr + 4 * src_stride_y) + 4);</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> </div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="comment">// Accumulate</span></div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  CONVOLUTION1x3_BIFROST(pixels2, src0, src1, weights_row2);</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span> </div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  src_addr += src_stride_z;</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  weights_addr += weights_stride_z;</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  }</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> </div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span> <span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span> </div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordtype">float</span> bias = (float) * ((__global <span class="keywordtype">float</span> *)(<a class="code" href="helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&biases, kernel_index)));</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> </div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  pixels0 += (float4)bias;</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  pixels1 += (float4)bias;</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  pixels2 += (float4)bias;</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span> </div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  vstore4(pixels0, 0, (__global <span class="keywordtype">float</span> *)(dst.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + 0 * dst_stride_y));</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  vstore4(pixels1, 0, (__global <span class="keywordtype">float</span> *)(dst.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + 1 * dst_stride_y));</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  vstore4(pixels2, 0, (__global <span class="keywordtype">float</span> *)(dst.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + 2 * dst_stride_y));</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span> }</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span> <span class="preprocessor">#endif // defined(WEIGHTS_DEPTH)</span></div><div class="ttc" id="struct_vector_xhtml"><div class="ttname"><a href="struct_vector.xhtml">Vector</a></div><div class="ttdoc">Structure to hold Vector information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00134">helpers.h:134</a></div></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#l00119">helpers.h:119</a></div></div>
<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>
-<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>
-<div class="ttc" id="helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="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="helpers_8h_source.xhtml#l00295">helpers.h:295</a></div></div>
+<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#l00151">helpers.h:151</a></div></div>
+<div class="ttc" id="helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="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="helpers_8h_source.xhtml#l00303">helpers.h:303</a></div></div>
<div class="ttc" id="helpers_8h_xhtml"><div class="ttname"><a href="helpers_8h.xhtml">helpers.h</a></div></div>
-<div class="ttc" id="helpers_8h_xhtml_aebe814363556c244be043b13e7969197"><div class="ttname"><a href="helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_IMAGE_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00096">helpers.h:96</a></div></div>
+<div class="ttc" id="helpers_8h_xhtml_aebe814363556c244be043b13e7969197"><div class="ttname"><a href="helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_IMAGE_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00104">helpers.h:104</a></div></div>
<div class="ttc" id="fixed__point_8h_xhtml"><div class="ttname"><a href="fixed__point_8h.xhtml">fixed_point.h</a></div></div>
-<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#l00307">helpers.h:307</a></div></div>
-<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>
-<div class="ttc" id="struct_image_xhtml"><div class="ttname"><a href="struct_image.xhtml">Image</a></div><div class="ttdoc">Structure to hold Image information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00134">helpers.h:134</a></div></div>
-<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>
+<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#l00315">helpers.h:315</a></div></div>
+<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#l00062">helpers.h:62</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00137">Convolution.cpp:137</a></div></div>
+<div class="ttc" id="struct_image_xhtml"><div class="ttname"><a href="struct_image.xhtml">Image</a></div><div class="ttdoc">Structure to hold Image information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00142">helpers.h:142</a></div></div>
+<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#l00076">helpers.h:76</a></div></div>
<div class="ttc" id="fixed__point_8h_xhtml_a329eb419d445e448ec885a2f69a1fb0f"><div class="ttname"><a href="fixed__point_8h.xhtml#a329eb419d445e448ec885a2f69a1fb0f">MULQ_SAT_IMPL</a></div><div class="ttdeci">#define MULQ_SAT_IMPL(type, itype)</div><div class="ttdef"><b>Definition:</b> <a href="fixed__point_8h_source.xhtml#l00236">fixed_point.h:236</a></div></div>
<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>
-<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>
-<div class="ttc" id="helpers_8h_xhtml_a64d779f80eeb923e0ab2313433f7b40b"><div class="ttname"><a href="helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_VECTOR_STRUCT_NO_STEP(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00093">helpers.h:93</a></div></div>
-<div class="ttc" id="helpers_8h_xhtml_a7e4940407322d6f0ccb8b6b86b856019"><div class="ttname"><a href="helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a></div><div class="ttdeci">__global const uchar * vector_offset(const Vector *vec, int x)</div><div class="ttdoc">Get the pointer position of a Vector. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00284">helpers.h:284</a></div></div>
-<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>
+<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#l00123">helpers.h:123</a></div></div>
+<div class="ttc" id="helpers_8h_xhtml_a64d779f80eeb923e0ab2313433f7b40b"><div class="ttname"><a href="helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_VECTOR_STRUCT_NO_STEP(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00101">helpers.h:101</a></div></div>
+<div class="ttc" id="helpers_8h_xhtml_a7e4940407322d6f0ccb8b6b86b856019"><div class="ttname"><a href="helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a></div><div class="ttdeci">__global const uchar * vector_offset(const Vector *vec, int x)</div><div class="ttdoc">Get the pointer position of a Vector. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00292">helpers.h:292</a></div></div>
+<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#l00153">helpers.h:153</a></div></div>
<div class="ttc" id="direct__convolution3x3_8cl_xhtml_a1f15728672380ade7a238f5e783d54d2"><div class="ttname"><a href="direct__convolution3x3_8cl.xhtml#a1f15728672380ade7a238f5e783d54d2">CONVERT_SAT</a></div><div class="ttdeci">#define CONVERT_SAT(a, b)</div><div class="ttdef"><b>Definition:</b> <a href="direct__convolution3x3_8cl_source.xhtml#l00041">direct_convolution3x3.cl:41</a></div></div>
<div class="ttc" id="direct__convolution3x3_8cl_xhtml_aebbeb1f22eca3a3f4c3e019e8f419f39"><div class="ttname"><a href="direct__convolution3x3_8cl.xhtml#aebbeb1f22eca3a3f4c3e019e8f419f39">ADD_OP</a></div><div class="ttdeci">#define ADD_OP(a, b)</div><div class="ttdef"><b>Definition:</b> <a href="direct__convolution3x3_8cl_source.xhtml#l00039">direct_convolution3x3.cl:39</a></div></div>
<div class="ttc" id="fixed__point_8h_xhtml_af8a54f984958bddf4f24cd95867a82f5"><div class="ttname"><a href="fixed__point_8h.xhtml#af8a54f984958bddf4f24cd95867a82f5">qs32x8</a></div><div class="ttdeci">int8 qs32x8</div><div class="ttdef"><b>Definition:</b> <a href="fixed__point_8h_source.xhtml#l00038">fixed_point.h:38</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure & src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
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