arm_compute v19.08
diff --git a/documentation/depthwise__convolution_8cl_source.xhtml b/documentation/depthwise__convolution_8cl_source.xhtml
index d44d6bf..e03ea12 100644
--- a/documentation/depthwise__convolution_8cl_source.xhtml
+++ b/documentation/depthwise__convolution_8cl_source.xhtml
@@ -40,7 +40,7 @@
<img alt="Compute Library" src="https://raw.githubusercontent.com/ARM-software/ComputeLibrary/gh-pages/ACL_logo.png" style="max-width: 100%;margin-top: 15px;margin-left: 10px"/>
<td style="padding-left: 0.5em;">
<div id="projectname">
-  <span id="projectnumber">19.05</span>
+  <span id="projectnumber">19.08</span>
</div>
</td>
</tr>
@@ -100,56 +100,57 @@
<div class="title">depthwise_convolution.cl</div> </div>
</div><!--header-->
<div class="contents">
-<a href="depthwise__convolution_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) 2017-2019 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> </div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml">helpers.h</a>"</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#if defined(FUSED_ACTIVATION)</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#define TYPE VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#define SELECT_TYPE VEC_DATA_TYPE(SELECT_DATA_TYPE, VEC_SIZE)</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="activation__helpers_8h.xhtml">activation_helpers.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#define ACTIVATION_FUNC(x) ACTIVATION_OP(FUSED_ACTIVATION, x)</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#else </span><span class="comment">/* defined(FUSED_ACTIVATION) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00033"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9"> 33</a></span> <span class="preprocessor">#define ACTIVATION_FUNC(x) (x)</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(FUSED_ACTIVATION) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450"> 46</a></span> <span class="keyword">inline</span> __global uchar *<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(__global uchar *ptr, <span class="keyword">const</span> <span class="keywordtype">int</span> x, <span class="keyword">const</span> <span class="keywordtype">int</span> y, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_x, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_y)</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> {</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">return</span> ptr + x * stride_x + y * stride_y;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> }</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="preprocessor">#define CONVOLUTION1x3_BIFROST2X1_STRIDE1(acc, src0, weights_row0) \</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"> acc.s0 = fma(src0.s0, weights_row0.s0, acc.s0); \</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="preprocessor"> acc.s0 = fma(src0.s1, weights_row0.s1, acc.s0); \</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="preprocessor"> acc.s0 = fma(src0.s2, weights_row0.s2, acc.s0); \</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="preprocessor"> acc.s1 = fma(src0.s1, weights_row0.s0, acc.s1); \</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="preprocessor"> acc.s1 = fma(src0.s2, weights_row0.s1, acc.s1); \</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="preprocessor"> acc.s1 = fma(src0.s3, weights_row0.s2, acc.s1); \</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="preprocessor"> })</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="preprocessor">#define CONVOLUTION1x3_BIFROST4X1_STRIDE1(acc, src0, weights_row0) \</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="preprocessor"> acc.s0 = fma(src0.s0, weights_row0.s0, acc.s0); \</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="preprocessor"> acc.s0 = fma(src0.s1, weights_row0.s1, acc.s0); \</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="preprocessor"> acc.s0 = fma(src0.s2, weights_row0.s2, acc.s0); \</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="preprocessor"> acc.s1 = fma(src0.s1, weights_row0.s0, acc.s1); \</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="preprocessor"> acc.s1 = fma(src0.s2, weights_row0.s1, acc.s1); \</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="preprocessor"> acc.s1 = fma(src0.s3, weights_row0.s2, acc.s1); \</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="preprocessor"> acc.s2 = fma(src0.s2, weights_row0.s0, acc.s2); \</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="preprocessor"> acc.s2 = fma(src0.s3, weights_row0.s1, acc.s2); \</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="preprocessor"> acc.s2 = fma(src0.s4, weights_row0.s2, acc.s2); \</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="preprocessor"> acc.s3 = fma(src0.s3, weights_row0.s0, acc.s3); \</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="preprocessor"> acc.s3 = fma(src0.s4, weights_row0.s1, acc.s3); \</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="preprocessor"> acc.s3 = fma(src0.s5, weights_row0.s2, acc.s3); \</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="preprocessor"> })</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="preprocessor">#define CONVOLUTION1x3_BIFROST2X1_STRIDE2(acc, src0, src1, weights_row0) \</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"> acc.s0 = fma(src0.s0, weights_row0.s0, acc.s0); \</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="preprocessor"> acc.s0 = fma(src0.s1, weights_row0.s1, acc.s0); \</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="preprocessor"> acc.s0 = fma(src0.s2, weights_row0.s2, acc.s0); \</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="preprocessor"> acc.s1 = fma(src0.s2, weights_row0.s0, acc.s1); \</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="preprocessor"> acc.s1 = fma(src0.s3, weights_row0.s1, acc.s1); \</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="preprocessor"> acc.s1 = fma(src1.s0, weights_row0.s2, acc.s1); \</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="preprocessor"> })</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="preprocessor">#define CONVOLUTION1x3_BIFROST4X1_STRIDE2(acc, src0, src1, weights_row0) \</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="preprocessor"> acc.s0 = fma(src0.s0, weights_row0.s0, acc.s0); \</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="preprocessor"> acc.s0 = fma(src0.s1, weights_row0.s1, acc.s0); \</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="preprocessor"> acc.s0 = fma(src0.s2, weights_row0.s2, acc.s0); \</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="preprocessor"> acc.s1 = fma(src0.s2, weights_row0.s0, acc.s1); \</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="preprocessor"> acc.s1 = fma(src0.s3, weights_row0.s1, acc.s1); \</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="preprocessor"> acc.s1 = fma(src0.s4, weights_row0.s2, acc.s1); \</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="preprocessor"> acc.s2 = fma(src0.s4, weights_row0.s0, acc.s2); \</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="preprocessor"> acc.s2 = fma(src0.s5, weights_row0.s1, acc.s2); \</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="preprocessor"> acc.s2 = fma(src0.s6, weights_row0.s2, acc.s2); \</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="preprocessor"> acc.s3 = fma(src0.s6, weights_row0.s0, acc.s3); \</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="preprocessor"> acc.s3 = fma(src0.s7, weights_row0.s1, acc.s3); \</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="preprocessor"> acc.s3 = fma(src1.s0, weights_row0.s2, acc.s3); \</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="preprocessor"> })</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div><div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44"> 107</a></span> <span class="preprocessor">#define CONVOLUTION1x3_BIFROST2X1_STRIDE1(acc, src0_left, src0_mid, src0_right, weights_row0) \</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="preprocessor"> acc.s0 = fma(src0_left.s0, weights_row0.s0, acc.s0); \</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="preprocessor"> acc.s0 = fma(src0_mid.s0, weights_row0.s1, acc.s0); \</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="preprocessor"> acc.s0 = fma(src0_right.s0, weights_row0.s2, acc.s0); \</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="preprocessor"> acc.s1 = fma(src0_left.s1, weights_row0.s0, acc.s1); \</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="preprocessor"> acc.s1 = fma(src0_mid.s1, weights_row0.s1, acc.s1); \</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="preprocessor"> acc.s1 = fma(src0_right.s1, weights_row0.s2, acc.s1); \</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="preprocessor"> })</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44"> 117</a></span> <span class="preprocessor">#define CONVOLUTION1x3_BIFROST2X1_STRIDE2(acc, src0_left, src0_mid, src0_right, weights_row0) \</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="preprocessor"> acc.s0 = fma(src0_left.s0, weights_row0.s0, acc.s0); \</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="preprocessor"> acc.s0 = fma(src0_mid.s0, weights_row0.s1, acc.s0); \</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="preprocessor"> acc.s0 = fma(src0_right.s0, weights_row0.s2, acc.s0); \</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="preprocessor"> acc.s1 = fma(src0_left.s2, weights_row0.s0, acc.s1); \</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="preprocessor"> acc.s1 = fma(src0_mid.s2, weights_row0.s1, acc.s1); \</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="preprocessor"> acc.s1 = fma(src0_right.s2, weights_row0.s2, acc.s1); \</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="preprocessor"> })</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div><div class="line"><a name="l00127"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa"> 127</a></span> <span class="preprocessor">#define CONVOLUTION1x3_BIFROST4X1_STRIDE1(acc, src0_left, src0_mid, src0_right, weights_row0) \</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <span class="preprocessor"> acc.s0 = fma(src0_left.s0, weights_row0.s0, acc.s0); \</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="preprocessor"> acc.s0 = fma(src0_mid.s0, weights_row0.s1, acc.s0); \</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="preprocessor"> acc.s0 = fma(src0_right.s0, weights_row0.s2, acc.s0); \</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="preprocessor"> acc.s1 = fma(src0_left.s1, weights_row0.s0, acc.s1); \</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="preprocessor"> acc.s1 = fma(src0_mid.s1, weights_row0.s1, acc.s1); \</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="preprocessor"> acc.s1 = fma(src0_right.s1, weights_row0.s2, acc.s1); \</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="preprocessor"> acc.s2 = fma(src0_left.s2, weights_row0.s0, acc.s2); \</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="preprocessor"> acc.s2 = fma(src0_mid.s2, weights_row0.s1, acc.s2); \</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="preprocessor"> acc.s2 = fma(src0_right.s2, weights_row0.s2, acc.s2); \</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> <span class="preprocessor"> acc.s3 = fma(src0_left.s3, weights_row0.s0, acc.s3); \</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> <span class="preprocessor"> acc.s3 = fma(src0_mid.s3, weights_row0.s1, acc.s3); \</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> <span class="preprocessor"> acc.s3 = fma(src0_right.s3, weights_row0.s2, acc.s3); \</span></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> <span class="preprocessor"> })</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> </div><div class="line"><a name="l00143"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc"> 143</a></span> <span class="preprocessor">#define CONVOLUTION1x3_BIFROST4X1_STRIDE2(acc, src0_left, src0_mid, src0_right, weights_row0) \</span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> <span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> <span class="preprocessor"> acc.s0 = fma(src0_left.s0, weights_row0.s0, acc.s0); \</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <span class="preprocessor"> acc.s0 = fma(src0_mid.s0, weights_row0.s1, acc.s0); \</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> <span class="preprocessor"> acc.s0 = fma(src0_right.s0, weights_row0.s2, acc.s0); \</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> <span class="preprocessor"> acc.s1 = fma(src0_left.s2, weights_row0.s0, acc.s1); \</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> <span class="preprocessor"> acc.s1 = fma(src0_mid.s2, weights_row0.s1, acc.s1); \</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> <span class="preprocessor"> acc.s1 = fma(src0_right.s2, weights_row0.s2, acc.s1); \</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> <span class="preprocessor"> acc.s2 = fma(src0_left.s4, weights_row0.s0, acc.s2); \</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> <span class="preprocessor"> acc.s2 = fma(src0_mid.s4, weights_row0.s1, acc.s2); \</span></div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> <span class="preprocessor"> acc.s2 = fma(src0_right.s4, weights_row0.s2, acc.s2); \</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> <span class="preprocessor"> acc.s3 = fma(src0_left.s6, weights_row0.s0, acc.s3); \</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> <span class="preprocessor"> acc.s3 = fma(src0_mid.s6, weights_row0.s1, acc.s3); \</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> <span class="preprocessor"> acc.s3 = fma(src0_right.s6, weights_row0.s2, acc.s3); \</span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="preprocessor"> })</span></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 </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></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(DEPTH_MULTIPLIER) && defined(DST_CHANNELS) && defined(IS_F32)</span></div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> <span class="preprocessor">#if defined(CONV_STRIDE_X)</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> </div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> <span class="preprocessor">#if CONV_STRIDE_X == 1</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="preprocessor">#define convolution1x3 convolution1x3_stride_1</span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="preprocessor">#elif CONV_STRIDE_X == 2</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="preprocessor">#define convolution1x3 convolution1x3_stride_2</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="preprocessor">#elif CONV_STRIDE_X == 3</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> <span class="preprocessor">#define convolution1x3 convolution1x3_stride_3</span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="preprocessor">#else </span><span class="comment">/* CONV_STRIDE_X */</span><span class="preprocessor"></span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="preprocessor">#error "Stride not supported"</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="preprocessor">#endif </span><span class="comment">/* CONV_STRIDE_X */</span><span class="preprocessor"></span></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> </div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> <span class="keyword">inline</span> float2 convolution1x3_stride_1(__global <span class="keyword">const</span> uchar *left_pixel,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> left_coeff,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> middle_coeff,</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> right_coeff)</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> {</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  float4 temp = vload4(0, (__global <span class="keywordtype">float</span> *)left_pixel);</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> </div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  float2 left = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s01, float2);</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  float2 middle = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s12, float2);</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  float2 right = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s23, float2);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keywordflow">return</span> left * (float2)left_coeff + middle * (float2)middle_coeff + right * (float2)right_coeff;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordflow">return</span> vload2(0, (__global <span class="keywordtype">float</span> *)left_pixel) * (float2)left_coeff</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  + vload2(0, (__global <span class="keywordtype">float</span> *)(left_pixel) + DILATION_X) * (float2)middle_coeff</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  + vload2(0, (__global <span class="keywordtype">float</span> *)(left_pixel) + 2 * DILATION_X) * (float2)right_coeff;</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> <span class="preprocessor">#endif </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> }</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> </div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> <span class="keyword">inline</span> float2 convolution1x3_stride_2(__global <span class="keyword">const</span> uchar *left_pixel,</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> left_coeff,</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> middle_coeff,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> right_coeff)</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> {</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  float4 temp0 = vload4(0, (__global <span class="keywordtype">float</span> *)left_pixel);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordtype">float</span> temp1 = *((__global <span class="keywordtype">float</span> *)(left_pixel + 4 * <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>)));</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  float2 left = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s02, float2);</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  float2 middle = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s13, float2);</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  float2 right = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((float2)(temp0.s2, temp1), float2);</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="keywordflow">return</span> left * (float2)left_coeff + middle * (float2)middle_coeff + right * (float2)right_coeff;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  __global <span class="keywordtype">float</span> *left_pixel_float = (__global <span class="keywordtype">float</span> *)left_pixel;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> </div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordflow">return</span> vload4(0, left_pixel_float).s02 * (float2)left_coeff</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  + vload4(0, left_pixel_float + DILATION_X).s02 * (float2)middle_coeff</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  + vload4(0, left_pixel_float + DILATION_X * 2).s02 * (float2)right_coeff;</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> </div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> <span class="preprocessor">#endif </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></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> </div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> <span class="keyword">inline</span> float2 convolution1x3_stride_3(__global <span class="keyword">const</span> uchar *left_pixel,</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> left_coeff,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> middle_coeff,</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> right_coeff)</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> {</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  float4 temp0 = vload4(0, (__global <span class="keywordtype">float</span> *)left_pixel);</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  float2 temp1 = vload2(0, (__global <span class="keywordtype">float</span> *)(left_pixel + 4 * <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>)));</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> </div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  float2 left = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s03, float2);</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  float2 middle = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((float2)(temp0.s1, temp1.s0), float2);</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  float2 right = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((float2)(temp0.s2, temp1.s1), float2);</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">return</span> left * (float2)left_coeff + middle * (float2)middle_coeff + right * (float2)right_coeff;</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  __global <span class="keywordtype">float</span> *left_pixel_float = (__global <span class="keywordtype">float</span> *)left_pixel;</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> </div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">return</span> (float2)(*left_pixel_float, *(left_pixel_float + 3)) * (float2)left_coeff</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  + (float2)(*(left_pixel_float + DILATION_X), *(left_pixel_float + DILATION_X + 3)) * (float2)middle_coeff</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  + (float2)(*(left_pixel_float + DILATION_X * 2), *(left_pixel_float + DILATION_X * 2 + 3)) * (float2)right_coeff;</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> <span class="preprocessor">#endif </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></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> </div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> <span class="keyword">inline</span> float2 <a class="code" href="convolution3x3_8cl.xhtml#afc5fefe72e66f0ae5191fd5b708fade9">convolution3x3</a>(</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <a class="code" href="struct_image.xhtml">Image</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>,</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> mat0, <span class="keyword">const</span> <span class="keywordtype">float</span> mat1, <span class="keyword">const</span> <span class="keywordtype">float</span> mat2,</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> mat3, <span class="keyword">const</span> <span class="keywordtype">float</span> mat4, <span class="keyword">const</span> <span class="keywordtype">float</span> mat5,</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> mat6, <span class="keyword">const</span> <span class="keywordtype">float</span> mat7, <span class="keyword">const</span> <span class="keywordtype">float</span> mat8)</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>  float2 pixels;</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> </div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  pixels = <a class="code" href="convolution3x3_8cl.xhtml#a92702074338198e81a46c3e309d9b04f">convolution1x3</a>(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, 0, 0), mat0, mat1, mat2);</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  pixels += <a class="code" href="convolution3x3_8cl.xhtml#a92702074338198e81a46c3e309d9b04f">convolution1x3</a>(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, 0, DILATION_Y), mat3, mat4, mat5);</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  pixels += <a class="code" href="convolution3x3_8cl.xhtml#a92702074338198e81a46c3e309d9b04f">convolution1x3</a>(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, 0, DILATION_Y * 2), mat6, mat7, mat8);</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> </div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">return</span> pixels;</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> }</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span> </div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span> __kernel <span class="keywordtype">void</span> depthwise_convolution_3x3(</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l00338"></a><span class="lineno"> 338</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>)</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span> #<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  ,</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span> #endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span> )</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> {</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>);</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>);</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span> <span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span> <span class="preprocessor">#endif //defined(HAS_BIAS)</span></div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> </div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="comment">// Extract channel and linearized batch indices</span></div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> channel = get_global_id(2) % DST_CHANNELS;</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> batch = get_global_id(2) / DST_CHANNELS;</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="comment">// Load relevant input and weights data (Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr -= batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z + (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z;</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  __global uchar *weights_addr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z;</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span> </div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  uchar3 <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (uchar3)(0, 1, 2) * (uchar3)weights_stride_y;</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  float3 weights_values0 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s0));</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  float3 weights_values1 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s1));</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  float3 weights_values2 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s2));</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> </div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  float2 pixels = <a class="code" href="convolution3x3_8cl.xhtml#afc5fefe72e66f0ae5191fd5b708fade9">convolution3x3</a>(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, weights_values0.s0, weights_values0.s1, weights_values0.s2,</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  weights_values1.s0, weights_values1.s1, weights_values1.s2,</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  weights_values2.s0, weights_values2.s1, weights_values2.s2);</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span> <span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  pixels += (float2)(*((__global <span class="keywordtype">float</span> *)(biases.ptr + channel * biases_stride_x)));</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span> <span class="preprocessor">#endif //defined(HAS_BIAS)</span></div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span> </div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  vstore2(<a class="code" href="depthwise__convolution_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9">ACTIVATION_FUNC</a>(pixels), 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr);</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> }</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> <span class="preprocessor">#endif //defined(CONV_STRIDE_X)</span></div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span> </div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span> <span class="preprocessor">#if(DILATION_X > 1 || DILATION_Y > 1)</span></div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span> <span class="keyword">inline</span> float2 convolution_3x3_dilation_stridex1_stridey1_bifrost_f32(__global uchar *src_addr, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_x_bytes, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_y_bytes,</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> y_offset, __global uchar *weights_addr, <span class="keyword">const</span> <span class="keywordtype">int</span> weights_stride_y)</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span> {</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <span class="comment">// Load the weights</span></div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  float3 weights_row0 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 0 * weights_stride_y));</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  float3 weights_row1 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 1 * weights_stride_y));</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  float3 weights_row2 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 2 * weights_stride_y));</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span> </div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  float2 pixels0 = 0.0f;</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span> </div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  float2 src00_left = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row0</span></div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  float2 src00_mid = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  float2 src00_right = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span> </div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  float2 src10_left = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row1</span></div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  float2 src10_mid = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  float2 src10_right = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span> </div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  float2 src20_left = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row2</span></div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  float2 src20_mid = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  float2 src20_right = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span> </div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels0, src00_left, src00_mid, src00_right, weights_row0);</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels0, src10_left, src10_mid, src10_right, weights_row1);</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels0, src20_left, src20_mid, src20_right, weights_row2);</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span> </div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keywordflow">return</span> pixels0;</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span> }</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span> </div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span> <span class="keyword">inline</span> float2 convolution_3x3_dilation_stridex2_stridey2_bifrost_f32(__global uchar *src_addr, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_x_bytes, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_y_bytes,</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> y_offset, __global uchar *weights_addr, <span class="keyword">const</span> <span class="keywordtype">int</span> weights_stride_y)</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span> {</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <span class="comment">// Load the weights</span></div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  float3 weights_row0 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 0 * weights_stride_y));</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  float3 weights_row1 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 1 * weights_stride_y));</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  float3 weights_row2 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 2 * weights_stride_y));</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span> </div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  float2 pixels0 = 0.0f;</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span> </div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  float3 src00_left = vload3(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row0</span></div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  float3 src00_mid = vload3(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  float3 src00_right = vload3(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span> </div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  float3 src10_left = vload3(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row1</span></div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  float3 src10_mid = vload3(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  float3 src10_right = vload3(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span> </div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  float3 src20_left = vload3(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row2</span></div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  float3 src20_mid = vload3(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  float3 src20_right = vload3(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span> </div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44">CONVOLUTION1x3_BIFROST2X1_STRIDE2</a>(pixels0, src00_left, src00_mid, src00_right, weights_row0);</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44">CONVOLUTION1x3_BIFROST2X1_STRIDE2</a>(pixels0, src10_left, src10_mid, src10_right, weights_row1);</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44">CONVOLUTION1x3_BIFROST2X1_STRIDE2</a>(pixels0, src20_left, src20_mid, src20_right, weights_row2);</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span> </div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keywordflow">return</span> pixels0;</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span> }</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span> </div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span> <span class="preprocessor">#endif </span><span class="comment">/* (DILATION_X > 1 || DILATION_Y > 1) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span> </div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span> __kernel <span class="keywordtype">void</span> depthwise_convolution_3x3_stridex1_stridey1_bifrost_f32(</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l00496"></a><span class="lineno"> 496</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>)</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span> #<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  ,</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span> #endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> )</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span> {</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>);</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>);</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span> </div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  float2 pixels0 = 0.0f;</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  float2 pixels1 = 0.0f;</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  float2 pixels2 = 0.0f;</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  float2 pixels3 = 0.0f;</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span> </div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <span class="comment">// Extract channel and linearized batch indices</span></div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> channel = get_global_id(2) % DST_CHANNELS;</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> batch = get_global_id(2) / DST_CHANNELS;</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="comment">// Load relevant input and weights data (Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  __global uchar *weights_addr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z;</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  __global uchar *src_addr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr - batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z - (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z;</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span> </div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <span class="comment">// Load the weights</span></div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  float3 weights_row0 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 0 * weights_stride_y));</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  float3 weights_row1 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 1 * weights_stride_y));</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  float3 weights_row2 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 2 * weights_stride_y));</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span> </div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <span class="comment">// Note: Since each work-item computes 4x2 elements, we need to load 6 rows from the input tensor</span></div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  float4 src00 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 0 * src_stride_y)); <span class="comment">// Row0</span></div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  float4 src10 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 1 * src_stride_y)); <span class="comment">// Row1</span></div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  float4 src20 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 2 * src_stride_y)); <span class="comment">// Row2</span></div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  float4 src30 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 3 * src_stride_y)); <span class="comment">// Row3</span></div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  float4 src40 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 4 * src_stride_y)); <span class="comment">// Row4</span></div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  float4 src50 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 5 * src_stride_y)); <span class="comment">// Row5</span></div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span> </div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels0, src00, weights_row0);</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels0, src10, weights_row1);</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels0, src20, weights_row2);</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels1, src10, weights_row0);</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels1, src20, weights_row1);</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels1, src30, weights_row2);</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels2, src20, weights_row0);</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels2, src30, weights_row1);</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels2, src40, weights_row2);</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels3, src30, weights_row0);</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels3, src40, weights_row1);</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels3, src50, weights_row2);</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span> </div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span> </div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="comment">//3x3 Convolution of elements starting in 0th row</span></div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  pixels0 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f32(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 0, weights_addr, weights_stride_y);</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="comment">//3x3 Convolution of elements starting in 1st row</span></div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  pixels1 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f32(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 1, weights_addr, weights_stride_y);</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="comment">//3x3 Convolution of elements starting in 2nd row</span></div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  pixels2 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f32(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 2, weights_addr, weights_stride_y);</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <span class="comment">//3x3 Convolution of elements starting in 3rd row</span></div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  pixels3 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f32(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 3, weights_addr, weights_stride_y);</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span> </div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span> <span class="preprocessor">#endif </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span> </div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span> <span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span> </div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> = *((__global <span class="keywordtype">float</span> *)(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&biases, channel)));</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span> </div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  pixels0 += (float2)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  pixels1 += (float2)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  pixels2 += (float2)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  pixels3 += (float2)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span> </div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  vstore2(<a class="code" href="depthwise__convolution_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9">ACTIVATION_FUNC</a>(pixels0), 0, (__global <span class="keywordtype">float</span> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 0 * dst_stride_y));</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  vstore2(<a class="code" href="depthwise__convolution_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9">ACTIVATION_FUNC</a>(pixels1), 0, (__global <span class="keywordtype">float</span> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 1 * dst_stride_y));</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  vstore2(<a class="code" href="depthwise__convolution_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9">ACTIVATION_FUNC</a>(pixels2), 0, (__global <span class="keywordtype">float</span> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 2 * dst_stride_y));</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  vstore2(<a class="code" href="depthwise__convolution_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9">ACTIVATION_FUNC</a>(pixels3), 0, (__global <span class="keywordtype">float</span> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 3 * dst_stride_y));</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span> }</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span> </div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span> __kernel <span class="keywordtype">void</span> depthwise_convolution_3x3_stridex2_stridey2_bifrost_f32(</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l00617"></a><span class="lineno"> 617</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>)</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span> #<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  ,</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span> #endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span> )</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span> {</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>);</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>);</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span> </div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  float2 pixels0 = 0.0f;</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  float2 pixels1 = 0.0f;</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span> </div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="comment">// Extract channel and linearized batch indices</span></div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> channel = get_global_id(2) % DST_CHANNELS;</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> batch = get_global_id(2) / DST_CHANNELS;</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <span class="comment">// Load relevant input and weights data (Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  __global uchar *weights_addr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z;</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  __global uchar *src_addr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr - batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z - (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z;</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span> </div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span> </div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  <span class="comment">// Load the weights</span></div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  float3 weights_row0 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 0 * weights_stride_y));</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  float3 weights_row1 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 1 * weights_stride_y));</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  float3 weights_row2 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 2 * weights_stride_y));</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span> </div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  <span class="comment">// Note: Since each work-item computes 4x2 elements, we need to load 5 rows from the input tensor</span></div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  float4 src00 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 0 * src_stride_y)); <span class="comment">// Row0</span></div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  float2 src01 = vload2(2, (__global <span class="keywordtype">float</span> *)(src_addr + 0 * src_stride_y)); <span class="comment">// Row0</span></div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  float4 src10 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 1 * src_stride_y)); <span class="comment">// Row1</span></div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  float2 src11 = vload2(2, (__global <span class="keywordtype">float</span> *)(src_addr + 1 * src_stride_y)); <span class="comment">// Row1</span></div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  float4 src20 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 2 * src_stride_y)); <span class="comment">// Row2</span></div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  float2 src21 = vload2(2, (__global <span class="keywordtype">float</span> *)(src_addr + 2 * src_stride_y)); <span class="comment">// Row2</span></div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  float4 src30 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 3 * src_stride_y)); <span class="comment">// Row3</span></div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  float2 src31 = vload2(2, (__global <span class="keywordtype">float</span> *)(src_addr + 3 * src_stride_y)); <span class="comment">// Row3</span></div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  float4 src40 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 4 * src_stride_y)); <span class="comment">// Row4</span></div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  float2 src41 = vload2(2, (__global <span class="keywordtype">float</span> *)(src_addr + 4 * src_stride_y)); <span class="comment">// Row4</span></div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span> </div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44">CONVOLUTION1x3_BIFROST2X1_STRIDE2</a>(pixels0, src00, src01, weights_row0);</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44">CONVOLUTION1x3_BIFROST2X1_STRIDE2</a>(pixels0, src10, src11, weights_row1);</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44">CONVOLUTION1x3_BIFROST2X1_STRIDE2</a>(pixels0, src20, src21, weights_row2);</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44">CONVOLUTION1x3_BIFROST2X1_STRIDE2</a>(pixels1, src20, src21, weights_row0);</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44">CONVOLUTION1x3_BIFROST2X1_STRIDE2</a>(pixels1, src30, src31, weights_row1);</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44">CONVOLUTION1x3_BIFROST2X1_STRIDE2</a>(pixels1, src40, src41, weights_row2);</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span> </div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span> </div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <span class="comment">//3x3 Convolution of elements starting in 0th row</span></div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  pixels0 = convolution_3x3_dilation_stridex2_stridey2_bifrost_f32(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 0, weights_addr, weights_stride_y);</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <span class="comment">//3x3 Convolution of elements starting in 2nd row</span></div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  pixels1 = convolution_3x3_dilation_stridex2_stridey2_bifrost_f32(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 2, weights_addr, weights_stride_y);</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span> <span class="preprocessor">#endif </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span> </div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span> <span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span> </div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> = *((__global <span class="keywordtype">float</span> *)(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&biases, channel)));</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span> </div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  pixels0 += (float2)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  pixels1 += (float2)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span> </div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  vstore2(<a class="code" href="depthwise__convolution_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9">ACTIVATION_FUNC</a>(pixels0), 0, (__global <span class="keywordtype">float</span> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 0 * dst_stride_y));</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  vstore2(<a class="code" href="depthwise__convolution_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9">ACTIVATION_FUNC</a>(pixels1), 0, (__global <span class="keywordtype">float</span> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 1 * dst_stride_y));</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span> }</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span> </div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span> <span class="preprocessor">#endif // defined(DEPTH_MULTIPLIER) && defined(DST_CHANNELS) && defined(IS_F32)</span></div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span> </div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span> <span class="preprocessor">#if defined(VEC_SIZE) && defined(DATA_TYPE) && defined(DST_WIDTH)</span></div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span> </div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span> __kernel <span class="keywordtype">void</span> depthwise_convolution_reshape_weights(</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>))</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span> {</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  <a class="code" href="struct_vector.xhtml">Vector</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>);</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> x = get_global_id(0);</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span> </div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  <span class="comment">// Load 3x3xVEC_SIZE weights</span></div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE)</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  w0 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr + 0 * src_stride_y + 0 * src_stride_z);</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE)</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  w1 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr + 1 * src_stride_y + 0 * src_stride_z);</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE)</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  w2 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr + 2 * src_stride_y + 0 * src_stride_z);</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE)</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  w3 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr + 0 * src_stride_y + 1 * src_stride_z);</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE)</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  w4 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr + 1 * src_stride_y + 1 * src_stride_z);</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE)</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  w5 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr + 2 * src_stride_y + 1 * src_stride_z);</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE)</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  w6 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr + 0 * src_stride_y + 2 * src_stride_z);</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE)</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  w7 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr + 1 * src_stride_y + 2 * src_stride_z);</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE)</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  w8 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr + 2 * src_stride_y + 2 * src_stride_z);</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span> </div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * DST_WIDTH * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>);</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span> </div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span> <span class="preprocessor">#if defined(TRANSPOSE)</span></div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span> <span class="preprocessor">#if VEC_SIZE != 4</span></div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span> <span class="preprocessor">#error "VEC_SIZE not supported"</span></div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span> <span class="preprocessor">#else // VEC_SIZE != 4</span></div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  ((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))(w0.s0, w1.s0, w2.s0, w3.s0), 0, dst_addr + 0);</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  ((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))(w4.s0, w5.s0, w6.s0, w7.s0), 0, dst_addr + 1 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  ((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))(w8.s0, w0.s1, w1.s1, w2.s1), 0, dst_addr + 2 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  ((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))(w3.s1, w4.s1, w5.s1, w6.s1), 0, dst_addr + 3 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  ((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))(w7.s1, w8.s1, w0.s2, w1.s2), 0, dst_addr + 4 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  ((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))(w2.s2, w3.s2, w4.s2, w5.s2), 0, dst_addr + 5 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  ((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))(w6.s2, w7.s2, w8.s2, w0.s3), 0, dst_addr + 6 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  ((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))(w1.s3, w2.s3, w3.s3, w4.s3), 0, dst_addr + 7 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  ((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))(w5.s3, w6.s3, w7.s3, w8.s3), 0, dst_addr + 8 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span> <span class="preprocessor">#endif // VEC_SIZE != 4</span></div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span> <span class="preprocessor">#else // !defined(TRANSPOSE)</span></div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  (w0, 0, dst_addr + 0);</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  (w1, 0, dst_addr + 1 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  (w2, 0, dst_addr + 2 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  (w3, 0, dst_addr + 3 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  (w4, 0, dst_addr + 4 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  (w5, 0, dst_addr + 5 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  (w6, 0, dst_addr + 6 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  (w7, 0, dst_addr + 7 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  (w8, 0, dst_addr + 8 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span> <span class="preprocessor">#endif // defined(TRANSPOSE)</span></div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span> }</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span> <span class="preprocessor">#endif // defined(VEC_SIZE) && defined(DATA_TYPE) && defined(DST_WIDTH)</span></div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span> </div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span> <span class="preprocessor">#if defined(NCHW)</span></div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span> <span class="preprocessor">#define in_stride_x src_stride_x</span></div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span> <span class="preprocessor">#define in_stride_y src_stride_y</span></div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span> <span class="preprocessor">#define in_stride_z src_stride_z</span></div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span> <span class="preprocessor">#define out_stride_x dst_stride_x</span></div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span> <span class="preprocessor">#define out_stride_y dst_stride_y</span></div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span> <span class="preprocessor">#define out_stride_z dst_stride_z</span></div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span> <span class="preprocessor">#else //defined(NCHW)</span></div><div class="line"><a name="l00793"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#a5447e2c4e1aae8fff9290b775fe813ff"> 793</a></span> <span class="preprocessor">#define in_stride_x src_stride_y</span></div><div class="line"><a name="l00794"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#ac353c0687abd8c71a4fa096d322b39ec"> 794</a></span> <span class="preprocessor">#define in_stride_y src_stride_z</span></div><div class="line"><a name="l00795"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#a32137dd220c1110408a7b498108de2c5"> 795</a></span> <span class="preprocessor">#define in_stride_z src_stride_x</span></div><div class="line"><a name="l00796"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#a68fce1f0ee4080ed89c9427496d625f2"> 796</a></span> <span class="preprocessor">#define out_stride_x dst_stride_y</span></div><div class="line"><a name="l00797"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#ac8b6b732372937bba276e6391944d1e1"> 797</a></span> <span class="preprocessor">#define out_stride_y dst_stride_z</span></div><div class="line"><a name="l00798"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#a128f47cb6aacde29e07fde2c4b9f5dd2"> 798</a></span> <span class="preprocessor">#define out_stride_z dst_stride_x</span></div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span> <span class="preprocessor">#endif //defined(NCHW)</span></div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span> </div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span> <span class="preprocessor">#if defined(SRC_WIDTH) && defined(DATA_TYPE)</span></div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span> </div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span> __kernel <span class="keywordtype">void</span> depthwise_convolution_reshape_weights_generic(</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>)</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span> #ifdef HAS_BIAS</div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  ,</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span> #endif <span class="comment">/* HAS_BIAS */</span></div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span> )</div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span> {</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span> <span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span> <span class="preprocessor">#endif </span><span class="comment">/* HAS_BIAS */</span><span class="preprocessor"></span></div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span> </div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + get_global_id(1) * <a class="code" href="depthwise__convolution_8cl.xhtml#ac353c0687abd8c71a4fa096d322b39ec">in_stride_y</a> + get_global_id(2) * <a class="code" href="depthwise__convolution_8cl.xhtml#a32137dd220c1110408a7b498108de2c5">in_stride_z</a>;</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + get_global_id(1) * SRC_WIDTH * dst_stride_x + get_global_id(2) * dst_stride_y;</div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span> </div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i < SRC_WIDTH; ++i, input_ptr += <a class="code" href="depthwise__convolution_8cl.xhtml#a5447e2c4e1aae8fff9290b775fe813ff">in_stride_x</a>)</div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  {</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(output_ptr + i * dst_stride_x)) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)input_ptr);</div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  }</div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span> </div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span> <span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  <span class="keywordflow">if</span>(get_global_id(1) == 0)</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  {</div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(output_ptr + SRC_WIDTH * get_global_size(1) * dst_stride_x)) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(biases.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + get_global_id(2) * biases_stride_x));</div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  }</div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span> <span class="preprocessor">#endif // defined(HAS_BIAS)</span></div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span> }</div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span> <span class="preprocessor">#endif //defined(SRC_WIDTH) && defined(DATA_TYPE)</span></div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span> </div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span> <span class="preprocessor">#if defined(STRIDE_X) && defined(STRIDE_Y) && defined(PAD_LEFT) && defined(PAD_TOP) && defined(PAD_RIGHT) && defined(PAD_BOTTOM) && defined(KERNEL_WIDTH) && defined(KERNEL_HEIGHT) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(DATA_TYPE) && defined(PAD_VALUE) && defined(DEPTH_MULTIPLIER) && defined(DILATION_X) && defined(DILATION_Y)</span></div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span> </div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span> __kernel <span class="keywordtype">void</span> depthwise_im2col(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>), <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l00880"></a><span class="lineno"> 880</span> {</div><div class="line"><a name="l00881"></a><span class="lineno"> 881</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="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</div><div class="line"><a name="l00882"></a><span class="lineno"> 882</span> </div><div class="line"><a name="l00883"></a><span class="lineno"> 883</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> src_pixel_linear = get_global_id(1) * STRIDE_X;</div><div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> full_length = SRC_WIDTH + PAD_LEFT + PAD_RIGHT;</div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> max_initial_x = STRIDE_X * (((full_length - (KERNEL_WIDTH + (KERNEL_WIDTH - 1) * (DILATION_X - 1))) / STRIDE_X) + 1);</div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span> </div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> src_x = -PAD_LEFT + src_pixel_linear % max_initial_x;</div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> src_y = -PAD_TOP + src_pixel_linear / max_initial_x * STRIDE_Y;</div><div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> src_z = get_global_id(2) / DEPTH_MULTIPLIER;</div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span> </div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + src_z * <a class="code" href="depthwise__convolution_8cl.xhtml#a32137dd220c1110408a7b498108de2c5">in_stride_z</a>;</div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  __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> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr));</div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span> </div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = src_y; y < src_y + KERNEL_HEIGHT + (KERNEL_HEIGHT - 1) * (DILATION_Y - 1); y += DILATION_Y)</div><div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  {</div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = src_x; x < src_x + KERNEL_WIDTH + (KERNEL_WIDTH - 1) * (DILATION_X - 1); x += DILATION_X, ++output_ptr)</div><div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  {</div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  <span class="keywordflow">if</span>(x < 0 || x >= SRC_WIDTH || y < 0 || y >= SRC_HEIGHT)</div><div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  {</div><div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  *output_ptr = PAD_VALUE;</div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  }</div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  {</div><div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  *output_ptr = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(input_ptr + x * <a class="code" href="depthwise__convolution_8cl.xhtml#a5447e2c4e1aae8fff9290b775fe813ff">in_stride_x</a> + y * <a class="code" href="depthwise__convolution_8cl.xhtml#ac353c0687abd8c71a4fa096d322b39ec">in_stride_y</a>));</div><div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  }</div><div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  }</div><div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  }</div><div class="line"><a name="l00908"></a><span class="lineno"> 908</span> <span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  *output_ptr = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)(1);</div><div class="line"><a name="l00910"></a><span class="lineno"> 910</span> <span class="preprocessor">#endif // defined(HAS_BIAS)</span></div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span> }</div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span> </div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span> <span class="preprocessor">#endif //defined(STRIDE_X) && defined(STRIDE_Y) && defined(PAD_LEFT) && defined(PAD_TOP) && defined(PAD_RIGHT) && defined(PAD_BOTTOM) && defined(KERNEL_WIDTH) && defined(KERNEL_HEIGHT) && defined(SRC_WIDTH) && defined(DATA_TYPE) && defined(PAD_VALUE) && defined(DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span> </div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span> <span class="preprocessor">#if defined(CONV_WIDTH) && defined(CONV_HEIGHT) && defined(DATA_TYPE)</span></div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span> </div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span> __kernel <span class="keywordtype">void</span> depthwise_vector_to_tensor(</div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l00938"></a><span class="lineno"> 938</span> {</div><div class="line"><a name="l00939"></a><span class="lineno"> 939</span>  <a class="code" href="struct_vector.xhtml">Vector</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>);</div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span> </div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> patch_size = CONV_WIDTH * CONV_HEIGHT;</div><div class="line"><a name="l00942"></a><span class="lineno"> 942</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> id0 = get_global_id(0);</div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> z = id0 / patch_size;</div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> index2D = id0 - z * patch_size;</div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span> </div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span>  __global uchar *out_ptr = dst_ptr + dst_offset_first_element_in_bytes + index2D % CONV_WIDTH * <a class="code" href="depthwise__convolution_8cl.xhtml#a68fce1f0ee4080ed89c9427496d625f2">out_stride_x</a> + index2D / CONV_WIDTH * <a class="code" href="depthwise__convolution_8cl.xhtml#ac8b6b732372937bba276e6391944d1e1">out_stride_y</a> + z * <a class="code" href="depthwise__convolution_8cl.xhtml#a128f47cb6aacde29e07fde2c4b9f5dd2">out_stride_z</a>;</div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span>  *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)out_ptr) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr);</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span> }</div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span> </div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span> <span class="preprocessor">#endif //defined(CONV_WIDTH) && defined(CONV_HEIGHT) && defined(DATA_TYPE)</span></div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span> </div><div class="line"><a name="l00952"></a><span class="lineno"> 952</span> <span class="preprocessor">#if defined(ARM_COMPUTE_OPENCL_FP16_ENABLED) && defined(DEPTH_MULTIPLIER) && defined(DST_CHANNELS) && defined(IS_F16)</span></div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span> <span class="preprocessor">#if defined(CONV_STRIDE_X)</span></div><div class="line"><a name="l00954"></a><span class="lineno"> 954</span> <span class="preprocessor">#if CONV_STRIDE_X == 1</span></div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span> <span class="preprocessor">#define convolution1x3_f16 convolution1x3_stride_1_f16</span></div><div class="line"><a name="l00956"></a><span class="lineno"> 956</span> <span class="preprocessor">#elif CONV_STRIDE_X == 2</span></div><div class="line"><a name="l00957"></a><span class="lineno"> 957</span> <span class="preprocessor">#define convolution1x3_f16 convolution1x3_stride_2_f16</span></div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span> <span class="preprocessor">#elif CONV_STRIDE_X == 3</span></div><div class="line"><a name="l00959"></a><span class="lineno"> 959</span> <span class="preprocessor">#define convolution1x3_f16 convolution1x3_stride_3_f16</span></div><div class="line"><a name="l00960"></a><span class="lineno"> 960</span> <span class="preprocessor">#else </span><span class="comment">/* CONV_STRIDE_X */</span><span class="preprocessor"></span></div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span> <span class="preprocessor">#error "Stride not supported"</span></div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span> <span class="preprocessor">#endif </span><span class="comment">/* CONV_STRIDE_X */</span><span class="preprocessor"></span></div><div class="line"><a name="l00963"></a><span class="lineno"> 963</span> </div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span> <span class="preprocessor">#if(DILATION_X > 1 || DILATION_Y > 1)</span></div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span> </div><div class="line"><a name="l00975"></a><span class="lineno"> 975</span> <span class="keyword">inline</span> half4 convolution_3x3_dilation_stridex1_stridey1_bifrost_f16(__global uchar *src_addr, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_x_bytes, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_y_bytes,</div><div class="line"><a name="l00976"></a><span class="lineno"> 976</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> y_offset, __global uchar *weights_addr, <span class="keyword">const</span> <span class="keywordtype">int</span> weights_stride_y)</div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span> {</div><div class="line"><a name="l00978"></a><span class="lineno"> 978</span>  <span class="comment">// Load the weights</span></div><div class="line"><a name="l00979"></a><span class="lineno"> 979</span>  half3 weights_row0 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 0 * weights_stride_y));</div><div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  half3 weights_row1 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 1 * weights_stride_y));</div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  half3 weights_row2 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 2 * weights_stride_y));</div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span> </div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  half4 pixels0 = 0.0f;</div><div class="line"><a name="l00984"></a><span class="lineno"> 984</span> </div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  half4 src00_left = vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row0</span></div><div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  half4 src00_mid = vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  half4 src00_right = vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00988"></a><span class="lineno"> 988</span> </div><div class="line"><a name="l00989"></a><span class="lineno"> 989</span>  half4 src10_left = vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row1</span></div><div class="line"><a name="l00990"></a><span class="lineno"> 990</span>  half4 src10_mid = vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  half4 src10_right = vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00992"></a><span class="lineno"> 992</span> </div><div class="line"><a name="l00993"></a><span class="lineno"> 993</span>  half4 src20_left = vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row2</span></div><div class="line"><a name="l00994"></a><span class="lineno"> 994</span>  half4 src20_mid = vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00995"></a><span class="lineno"> 995</span>  half4 src20_right = vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00996"></a><span class="lineno"> 996</span> </div><div class="line"><a name="l00997"></a><span class="lineno"> 997</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels0, src00_left, src00_mid, src00_right, weights_row0);</div><div class="line"><a name="l00998"></a><span class="lineno"> 998</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels0, src10_left, src10_mid, src10_right, weights_row1);</div><div class="line"><a name="l00999"></a><span class="lineno"> 999</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels0, src20_left, src20_mid, src20_right, weights_row2);</div><div class="line"><a name="l01000"></a><span class="lineno"> 1000</span> </div><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>  <span class="keywordflow">return</span> pixels0;</div><div class="line"><a name="l01002"></a><span class="lineno"> 1002</span> }</div><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span> </div><div class="line"><a name="l01013"></a><span class="lineno"> 1013</span> <span class="keyword">inline</span> half4 convolution_3x3_dilation_stridex2_stridey2_bifrost_f16(__global uchar *src_addr, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_x_bytes, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_y_bytes,</div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> y_offset, __global uchar *weights_addr, <span class="keyword">const</span> <span class="keywordtype">int</span> weights_stride_y)</div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span> {</div><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>  <span class="comment">// Load the weights</span></div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  half3 weights_row0 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 0 * weights_stride_y));</div><div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>  half3 weights_row1 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 1 * weights_stride_y));</div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  half3 weights_row2 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 2 * weights_stride_y));</div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span> </div><div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>  half4 pixels0 = 0.0f;</div><div class="line"><a name="l01022"></a><span class="lineno"> 1022</span> </div><div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>  half8 src00_left = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row0</span></div><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  half8 src00_mid = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  half8 src00_right = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span> </div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  half8 src10_left = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row1</span></div><div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  half8 src10_mid = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  half8 src10_right = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span> </div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  half8 src20_left = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row2</span></div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  half8 src20_mid = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  half8 src20_right = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span> </div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc">CONVOLUTION1x3_BIFROST4X1_STRIDE2</a>(pixels0, src00_left, src00_mid, src00_right, weights_row0);</div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc">CONVOLUTION1x3_BIFROST4X1_STRIDE2</a>(pixels0, src10_left, src10_mid, src10_right, weights_row1);</div><div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc">CONVOLUTION1x3_BIFROST4X1_STRIDE2</a>(pixels0, src20_left, src20_mid, src20_right, weights_row2);</div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span> </div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  <span class="keywordflow">return</span> pixels0;</div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span> }</div><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span> </div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span> <span class="preprocessor">#endif // (DILATION_X > 1 && DILATION_Y > 1)</span></div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span> </div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span> <span class="keyword">inline</span> half4 convolution1x3_stride_1_f16(__global <span class="keyword">const</span> uchar *left_pixel,</div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> left_coeff,</div><div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> middle_coeff,</div><div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> right_coeff)</div><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span> {</div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span> </div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>  half8 temp = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)left_pixel);</div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span> </div><div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  half4 left = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s0123, half4);</div><div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>  half4 middle = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s1234, half4);</div><div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>  half4 right = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s2345, half4);</div><div class="line"><a name="l01065"></a><span class="lineno"> 1065</span> </div><div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  <span class="keywordflow">return</span> left * (half4)left_coeff + middle * (half4)middle_coeff + right * (half4)right_coeff;</div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>  <span class="keywordflow">return</span> vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)left_pixel) * (half4)left_coeff</div><div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>  + vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(left_pixel) + DILATION_X) * (half4)middle_coeff</div><div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>  + vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(left_pixel) + 2 * DILATION_X) * (half4)right_coeff;</div><div class="line"><a name="l01071"></a><span class="lineno"> 1071</span> </div><div class="line"><a name="l01072"></a><span class="lineno"> 1072</span> <span class="preprocessor">#endif </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l01073"></a><span class="lineno"> 1073</span> }</div><div class="line"><a name="l01074"></a><span class="lineno"> 1074</span> </div><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span> <span class="keyword">inline</span> half4 convolution1x3_stride_2_f16(__global <span class="keyword">const</span> uchar *left_pixel,</div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> left_coeff,</div><div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> middle_coeff,</div><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> right_coeff)</div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span> {</div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span> </div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  half8 temp0 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)left_pixel);</div><div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>  <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> temp1 = *((__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(left_pixel + 8 * <span class="keyword">sizeof</span>(<a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>)));</div><div class="line"><a name="l01093"></a><span class="lineno"> 1093</span> </div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  half4 left = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s0246, half4);</div><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>  half4 middle = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s1357, half4);</div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  half4 right = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((half4)(temp0.s246, temp1), half4);</div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span> </div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>  <span class="keywordflow">return</span> left * (half4)left_coeff + middle * (half4)middle_coeff + right * (half4)right_coeff;</div><div class="line"><a name="l01099"></a><span class="lineno"> 1099</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span> </div><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>  __global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *left_pixel_float = (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)left_pixel;</div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span> </div><div class="line"><a name="l01103"></a><span class="lineno"> 1103</span>  <span class="keywordflow">return</span> (half4)(*left_pixel_float, *(left_pixel_float + 2), *(left_pixel_float + 4), *(left_pixel_float + 6)) * (half4)left_coeff</div><div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>  + (half4)(*(left_pixel_float + DILATION_X), *(left_pixel_float + DILATION_X + 2), *(left_pixel_float + DILATION_X + 4), *(left_pixel_float + DILATION_X + 6)) * (half4)middle_coeff</div><div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>  + (half4)(*(left_pixel_float + DILATION_X * 2), *(left_pixel_float + DILATION_X * 2 + 2), *(left_pixel_float + DILATION_X * 2 + 4), *(left_pixel_float + DILATION_X * 2 + 6)) * (half4)right_coeff;</div><div class="line"><a name="l01106"></a><span class="lineno"> 1106</span> </div><div class="line"><a name="l01107"></a><span class="lineno"> 1107</span> <span class="preprocessor">#endif </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span> }</div><div class="line"><a name="l01109"></a><span class="lineno"> 1109</span> </div><div class="line"><a name="l01119"></a><span class="lineno"> 1119</span> <span class="keyword">inline</span> half4 convolution1x3_stride_3_f16(__global <span class="keyword">const</span> uchar *left_pixel,</div><div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> left_coeff,</div><div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> middle_coeff,</div><div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> right_coeff)</div><div class="line"><a name="l01123"></a><span class="lineno"> 1123</span> {</div><div class="line"><a name="l01124"></a><span class="lineno"> 1124</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l01125"></a><span class="lineno"> 1125</span> </div><div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>  half16 temp0 = vload16(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)left_pixel);</div><div class="line"><a name="l01127"></a><span class="lineno"> 1127</span> </div><div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>  half4 left = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s0369, half4);</div><div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>  half4 middle = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s147A, half4);</div><div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>  half4 right = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s258B, half4);</div><div class="line"><a name="l01131"></a><span class="lineno"> 1131</span> </div><div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>  <span class="keywordflow">return</span> left * (half4)left_coeff + middle * (half4)middle_coeff + right * (half4)right_coeff;</div><div class="line"><a name="l01133"></a><span class="lineno"> 1133</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l01134"></a><span class="lineno"> 1134</span> </div><div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>  __global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *left_pixel_float = (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)left_pixel;</div><div class="line"><a name="l01136"></a><span class="lineno"> 1136</span> </div><div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>  <span class="keywordflow">return</span> (half4)(*left_pixel_float, *(left_pixel_float + 3), *(left_pixel_float + 6), *(left_pixel_float + 9)) * (half4)left_coeff</div><div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  + (half4)(*(left_pixel_float + DILATION_X), *(left_pixel_float + DILATION_X + 3), *(left_pixel_float + DILATION_X + 6), *(left_pixel_float + DILATION_X + 9)) * (half4)middle_coeff</div><div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>  + (half4)(*(left_pixel_float + DILATION_X * 2), *(left_pixel_float + DILATION_X * 2 + 3), *(left_pixel_float + DILATION_X * 2 + 6), *(left_pixel_float + DILATION_X * 2 + 9)) * (half4)right_coeff;</div><div class="line"><a name="l01140"></a><span class="lineno"> 1140</span> </div><div class="line"><a name="l01141"></a><span class="lineno"> 1141</span> <span class="preprocessor">#endif </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l01142"></a><span class="lineno"> 1142</span> }</div><div class="line"><a name="l01143"></a><span class="lineno"> 1143</span> </div><div class="line"><a name="l01166"></a><span class="lineno"> 1166</span> <span class="keyword">inline</span> half4 convolution3x3_f16(</div><div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>  <a class="code" href="struct_image.xhtml">Image</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>,</div><div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat0, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat1, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat2,</div><div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat3, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat4, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat5,</div><div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat6, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat7, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat8)</div><div class="line"><a name="l01171"></a><span class="lineno"> 1171</span> {</div><div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>  half4 pixels;</div><div class="line"><a name="l01173"></a><span class="lineno"> 1173</span> </div><div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>  pixels = convolution1x3_f16(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, 0, 0), mat0, mat1, mat2);</div><div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>  pixels += convolution1x3_f16(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, 0, DILATION_Y), mat3, mat4, mat5);</div><div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>  pixels += convolution1x3_f16(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, 0, DILATION_Y * 2), mat6, mat7, mat8);</div><div class="line"><a name="l01177"></a><span class="lineno"> 1177</span> </div><div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>  <span class="keywordflow">return</span> pixels;</div><div class="line"><a name="l01179"></a><span class="lineno"> 1179</span> }</div><div class="line"><a name="l01180"></a><span class="lineno"> 1180</span> </div><div class="line"><a name="l01181"></a><span class="lineno"> 1181</span> <span class="preprocessor">#if defined(DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l01182"></a><span class="lineno"> 1182</span> </div><div class="line"><a name="l01220"></a><span class="lineno"> 1220</span> __kernel <span class="keywordtype">void</span> depthwise_convolution_3x3_f16(</div><div class="line"><a name="l01221"></a><span class="lineno"> 1221</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l01222"></a><span class="lineno"> 1222</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l01223"></a><span class="lineno"> 1223</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>)</div><div class="line"><a name="l01224"></a><span class="lineno"> 1224</span> #<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l01225"></a><span class="lineno"> 1225</span>  ,</div><div class="line"><a name="l01226"></a><span class="lineno"> 1226</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l01227"></a><span class="lineno"> 1227</span> #endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l01228"></a><span class="lineno"> 1228</span> )</div><div class="line"><a name="l01229"></a><span class="lineno"> 1229</span> {</div><div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>);</div><div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</div><div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>);</div><div class="line"><a name="l01233"></a><span class="lineno"> 1233</span> <span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>  <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l01235"></a><span class="lineno"> 1235</span> <span class="preprocessor">#endif //defined(HAS_BIAS)</span></div><div class="line"><a name="l01236"></a><span class="lineno"> 1236</span> </div><div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>  <span class="comment">// Extract channel and linearized batch indices</span></div><div class="line"><a name="l01238"></a><span class="lineno"> 1238</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> channel = get_global_id(2) % DST_CHANNELS;</div><div class="line"><a name="l01239"></a><span class="lineno"> 1239</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> batch = get_global_id(2) / DST_CHANNELS;</div><div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>  <span class="comment">// Load relevant input and weights data (Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l01241"></a><span class="lineno"> 1241</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr -= batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z + (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z;</div><div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>  __global uchar *weights_addr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z;</div><div class="line"><a name="l01243"></a><span class="lineno"> 1243</span> </div><div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>  uchar3 <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (uchar3)(0, 1, 2) * (uchar3)weights_stride_y;</div><div class="line"><a name="l01245"></a><span class="lineno"> 1245</span>  half3 weights_values0 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s0));</div><div class="line"><a name="l01246"></a><span class="lineno"> 1246</span>  half3 weights_values1 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s1));</div><div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>  half3 weights_values2 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s2));</div><div class="line"><a name="l01248"></a><span class="lineno"> 1248</span> </div><div class="line"><a name="l01249"></a><span class="lineno"> 1249</span>  half4 pixels = convolution3x3_f16(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, weights_values0.s0, weights_values0.s1, weights_values0.s2,</div><div class="line"><a name="l01250"></a><span class="lineno"> 1250</span>  weights_values1.s0, weights_values1.s1, weights_values1.s2,</div><div class="line"><a name="l01251"></a><span class="lineno"> 1251</span>  weights_values2.s0, weights_values2.s1, weights_values2.s2);</div><div class="line"><a name="l01252"></a><span class="lineno"> 1252</span> <span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>  pixels += (half4)(*((__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(biases.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + channel * biases_stride_x)));</div><div class="line"><a name="l01254"></a><span class="lineno"> 1254</span> <span class="preprocessor">#endif //defined(HAS_BIAS)</span></div><div class="line"><a name="l01255"></a><span class="lineno"> 1255</span> </div><div class="line"><a name="l01256"></a><span class="lineno"> 1256</span>  vstore4(<a class="code" href="depthwise__convolution_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9">ACTIVATION_FUNC</a>(pixels), 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr);</div><div class="line"><a name="l01257"></a><span class="lineno"> 1257</span> }</div><div class="line"><a name="l01258"></a><span class="lineno"> 1258</span> <span class="preprocessor">#endif // defined(DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l01259"></a><span class="lineno"> 1259</span> <span class="preprocessor">#endif // defined(CONV_STRIDE_X)</span></div><div class="line"><a name="l01260"></a><span class="lineno"> 1260</span> </div><div class="line"><a name="l01299"></a><span class="lineno"> 1299</span> __kernel <span class="keywordtype">void</span> depthwise_convolution_3x3_stridex1_stridey1_bifrost_f16(</div><div class="line"><a name="l01300"></a><span class="lineno"> 1300</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l01302"></a><span class="lineno"> 1302</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>)</div><div class="line"><a name="l01303"></a><span class="lineno"> 1303</span> #<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l01304"></a><span class="lineno"> 1304</span>  ,</div><div class="line"><a name="l01305"></a><span class="lineno"> 1305</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l01306"></a><span class="lineno"> 1306</span> #endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l01307"></a><span class="lineno"> 1307</span> )</div><div class="line"><a name="l01308"></a><span class="lineno"> 1308</span> {</div><div class="line"><a name="l01309"></a><span class="lineno"> 1309</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>);</div><div class="line"><a name="l01310"></a><span class="lineno"> 1310</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</div><div class="line"><a name="l01311"></a><span class="lineno"> 1311</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>);</div><div class="line"><a name="l01312"></a><span class="lineno"> 1312</span> </div><div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>  <span class="comment">// Extract channel and linearized batch indices</span></div><div class="line"><a name="l01314"></a><span class="lineno"> 1314</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> channel = get_global_id(2) % DST_CHANNELS;</div><div class="line"><a name="l01315"></a><span class="lineno"> 1315</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> batch = get_global_id(2) / DST_CHANNELS;</div><div class="line"><a name="l01316"></a><span class="lineno"> 1316</span> </div><div class="line"><a name="l01317"></a><span class="lineno"> 1317</span> <span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l01318"></a><span class="lineno"> 1318</span>  <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l01319"></a><span class="lineno"> 1319</span> </div><div class="line"><a name="l01320"></a><span class="lineno"> 1320</span>  <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> = *((__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&biases, channel)));</div><div class="line"><a name="l01321"></a><span class="lineno"> 1321</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01322"></a><span class="lineno"> 1322</span> </div><div class="line"><a name="l01323"></a><span class="lineno"> 1323</span>  half4 pixels0 = 0.0f;</div><div class="line"><a name="l01324"></a><span class="lineno"> 1324</span>  half4 pixels1 = 0.0f;</div><div class="line"><a name="l01325"></a><span class="lineno"> 1325</span>  half4 pixels2 = 0.0f;</div><div class="line"><a name="l01326"></a><span class="lineno"> 1326</span>  half4 pixels3 = 0.0f;</div><div class="line"><a name="l01327"></a><span class="lineno"> 1327</span> </div><div class="line"><a name="l01328"></a><span class="lineno"> 1328</span>  <span class="comment">// Load relevant input and weights data (Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l01329"></a><span class="lineno"> 1329</span>  __global uchar *weights_addr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z;</div><div class="line"><a name="l01330"></a><span class="lineno"> 1330</span>  __global uchar *src_addr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr - batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z - (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z;</div><div class="line"><a name="l01331"></a><span class="lineno"> 1331</span> </div><div class="line"><a name="l01332"></a><span class="lineno"> 1332</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l01333"></a><span class="lineno"> 1333</span>  <span class="comment">// Load the weights</span></div><div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>  half3 weights_row0 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 0 * weights_stride_y));</div><div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>  half3 weights_row1 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 1 * weights_stride_y));</div><div class="line"><a name="l01336"></a><span class="lineno"> 1336</span>  half3 weights_row2 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 2 * weights_stride_y));</div><div class="line"><a name="l01337"></a><span class="lineno"> 1337</span> </div><div class="line"><a name="l01338"></a><span class="lineno"> 1338</span>  <span class="comment">// Note: Since each work-item computes 4x4 elements, we need to load 6 rows from the input tensor</span></div><div class="line"><a name="l01339"></a><span class="lineno"> 1339</span>  half8 src00 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 0 * src_stride_y)); <span class="comment">// Row0</span></div><div class="line"><a name="l01340"></a><span class="lineno"> 1340</span>  half8 src10 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 1 * src_stride_y)); <span class="comment">// Row1</span></div><div class="line"><a name="l01341"></a><span class="lineno"> 1341</span>  half8 src20 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 2 * src_stride_y)); <span class="comment">// Row2</span></div><div class="line"><a name="l01342"></a><span class="lineno"> 1342</span>  half8 src30 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 3 * src_stride_y)); <span class="comment">// Row3</span></div><div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>  half8 src40 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 4 * src_stride_y)); <span class="comment">// Row4</span></div><div class="line"><a name="l01344"></a><span class="lineno"> 1344</span>  half8 src50 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 5 * src_stride_y)); <span class="comment">// Row5</span></div><div class="line"><a name="l01345"></a><span class="lineno"> 1345</span> </div><div class="line"><a name="l01346"></a><span class="lineno"> 1346</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels0, src00, weights_row0);</div><div class="line"><a name="l01347"></a><span class="lineno"> 1347</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels0, src10, weights_row1);</div><div class="line"><a name="l01348"></a><span class="lineno"> 1348</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels0, src20, weights_row2);</div><div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels1, src10, weights_row0);</div><div class="line"><a name="l01350"></a><span class="lineno"> 1350</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels1, src20, weights_row1);</div><div class="line"><a name="l01351"></a><span class="lineno"> 1351</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels1, src30, weights_row2);</div><div class="line"><a name="l01352"></a><span class="lineno"> 1352</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels2, src20, weights_row0);</div><div class="line"><a name="l01353"></a><span class="lineno"> 1353</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels2, src30, weights_row1);</div><div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels2, src40, weights_row2);</div><div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels3, src30, weights_row0);</div><div class="line"><a name="l01356"></a><span class="lineno"> 1356</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels3, src40, weights_row1);</div><div class="line"><a name="l01357"></a><span class="lineno"> 1357</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels3, src50, weights_row2);</div><div class="line"><a name="l01358"></a><span class="lineno"> 1358</span> </div><div class="line"><a name="l01359"></a><span class="lineno"> 1359</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l01360"></a><span class="lineno"> 1360</span> </div><div class="line"><a name="l01361"></a><span class="lineno"> 1361</span>  <span class="comment">//3x3 Convolution of elements starting in 0th row</span></div><div class="line"><a name="l01362"></a><span class="lineno"> 1362</span>  pixels0 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f16(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 0, weights_addr, weights_stride_y);</div><div class="line"><a name="l01363"></a><span class="lineno"> 1363</span>  <span class="comment">//3x3 Convolution of elements starting in 1st row</span></div><div class="line"><a name="l01364"></a><span class="lineno"> 1364</span>  pixels1 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f16(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 1, weights_addr, weights_stride_y);</div><div class="line"><a name="l01365"></a><span class="lineno"> 1365</span>  <span class="comment">//3x3 Convolution of elements starting in 2nd row</span></div><div class="line"><a name="l01366"></a><span class="lineno"> 1366</span>  pixels2 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f16(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 2, weights_addr, weights_stride_y);</div><div class="line"><a name="l01367"></a><span class="lineno"> 1367</span>  <span class="comment">//3x3 Convolution of elements starting in 3rd row</span></div><div class="line"><a name="l01368"></a><span class="lineno"> 1368</span>  pixels3 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f16(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 3, weights_addr, weights_stride_y);</div><div class="line"><a name="l01369"></a><span class="lineno"> 1369</span> </div><div class="line"><a name="l01370"></a><span class="lineno"> 1370</span> <span class="preprocessor">#endif </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l01371"></a><span class="lineno"> 1371</span> </div><div class="line"><a name="l01372"></a><span class="lineno"> 1372</span> <span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l01373"></a><span class="lineno"> 1373</span>  pixels0 += (half4)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>  pixels1 += (half4)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l01375"></a><span class="lineno"> 1375</span>  pixels2 += (half4)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l01376"></a><span class="lineno"> 1376</span>  pixels3 += (half4)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l01377"></a><span class="lineno"> 1377</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01378"></a><span class="lineno"> 1378</span> </div><div class="line"><a name="l01379"></a><span class="lineno"> 1379</span>  vstore4(<a class="code" href="depthwise__convolution_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9">ACTIVATION_FUNC</a>(pixels0), 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 0 * dst_stride_y));</div><div class="line"><a name="l01380"></a><span class="lineno"> 1380</span>  vstore4(<a class="code" href="depthwise__convolution_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9">ACTIVATION_FUNC</a>(pixels1), 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 1 * dst_stride_y));</div><div class="line"><a name="l01381"></a><span class="lineno"> 1381</span>  vstore4(<a class="code" href="depthwise__convolution_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9">ACTIVATION_FUNC</a>(pixels2), 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 2 * dst_stride_y));</div><div class="line"><a name="l01382"></a><span class="lineno"> 1382</span>  vstore4(<a class="code" href="depthwise__convolution_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9">ACTIVATION_FUNC</a>(pixels3), 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 3 * dst_stride_y));</div><div class="line"><a name="l01383"></a><span class="lineno"> 1383</span> }</div><div class="line"><a name="l01384"></a><span class="lineno"> 1384</span> </div><div class="line"><a name="l01423"></a><span class="lineno"> 1423</span> __kernel <span class="keywordtype">void</span> depthwise_convolution_3x3_stridex2_stridey2_bifrost_f16(</div><div class="line"><a name="l01424"></a><span class="lineno"> 1424</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l01425"></a><span class="lineno"> 1425</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l01426"></a><span class="lineno"> 1426</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>)</div><div class="line"><a name="l01427"></a><span class="lineno"> 1427</span> #<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l01428"></a><span class="lineno"> 1428</span>  ,</div><div class="line"><a name="l01429"></a><span class="lineno"> 1429</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l01430"></a><span class="lineno"> 1430</span> #endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l01431"></a><span class="lineno"> 1431</span> )</div><div class="line"><a name="l01432"></a><span class="lineno"> 1432</span> {</div><div class="line"><a name="l01433"></a><span class="lineno"> 1433</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>);</div><div class="line"><a name="l01434"></a><span class="lineno"> 1434</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</div><div class="line"><a name="l01435"></a><span class="lineno"> 1435</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>);</div><div class="line"><a name="l01436"></a><span class="lineno"> 1436</span> </div><div class="line"><a name="l01437"></a><span class="lineno"> 1437</span>  <span class="comment">// Extract channel and linearized batch indices</span></div><div class="line"><a name="l01438"></a><span class="lineno"> 1438</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> channel = get_global_id(2) % DST_CHANNELS;</div><div class="line"><a name="l01439"></a><span class="lineno"> 1439</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> batch = get_global_id(2) / DST_CHANNELS;</div><div class="line"><a name="l01440"></a><span class="lineno"> 1440</span> </div><div class="line"><a name="l01441"></a><span class="lineno"> 1441</span> <span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l01442"></a><span class="lineno"> 1442</span>  <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l01443"></a><span class="lineno"> 1443</span> </div><div class="line"><a name="l01444"></a><span class="lineno"> 1444</span>  <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> = *((__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&biases, channel)));</div><div class="line"><a name="l01445"></a><span class="lineno"> 1445</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01446"></a><span class="lineno"> 1446</span> </div><div class="line"><a name="l01447"></a><span class="lineno"> 1447</span>  half4 pixels0 = 0.0f;</div><div class="line"><a name="l01448"></a><span class="lineno"> 1448</span>  half4 pixels1 = 0.0f;</div><div class="line"><a name="l01449"></a><span class="lineno"> 1449</span> </div><div class="line"><a name="l01450"></a><span class="lineno"> 1450</span>  <span class="comment">// Load relevant input and weights data ( Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l01451"></a><span class="lineno"> 1451</span>  __global uchar *weights_addr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z;</div><div class="line"><a name="l01452"></a><span class="lineno"> 1452</span>  __global uchar *src_addr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr - batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z - (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z;</div><div class="line"><a name="l01453"></a><span class="lineno"> 1453</span> </div><div class="line"><a name="l01454"></a><span class="lineno"> 1454</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l01455"></a><span class="lineno"> 1455</span> </div><div class="line"><a name="l01456"></a><span class="lineno"> 1456</span>  <span class="comment">// Load the weights</span></div><div class="line"><a name="l01457"></a><span class="lineno"> 1457</span>  half3 weights_row0 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 0 * weights_stride_y));</div><div class="line"><a name="l01458"></a><span class="lineno"> 1458</span>  half3 weights_row1 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 1 * weights_stride_y));</div><div class="line"><a name="l01459"></a><span class="lineno"> 1459</span>  half3 weights_row2 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 2 * weights_stride_y));</div><div class="line"><a name="l01460"></a><span class="lineno"> 1460</span> </div><div class="line"><a name="l01461"></a><span class="lineno"> 1461</span>  <span class="comment">// Note: Since each work-item computes 2x4 elements, we need to load 5 rows from the input tensor</span></div><div class="line"><a name="l01462"></a><span class="lineno"> 1462</span>  half8 src00 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 0 * src_stride_y)); <span class="comment">// Row0</span></div><div class="line"><a name="l01463"></a><span class="lineno"> 1463</span>  half2 src01 = vload2(4, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 0 * src_stride_y)); <span class="comment">// Row0</span></div><div class="line"><a name="l01464"></a><span class="lineno"> 1464</span>  half8 src10 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 1 * src_stride_y)); <span class="comment">// Row1</span></div><div class="line"><a name="l01465"></a><span class="lineno"> 1465</span>  half2 src11 = vload2(4, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 1 * src_stride_y)); <span class="comment">// Row1</span></div><div class="line"><a name="l01466"></a><span class="lineno"> 1466</span>  half8 src20 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 2 * src_stride_y)); <span class="comment">// Row2</span></div><div class="line"><a name="l01467"></a><span class="lineno"> 1467</span>  half2 src21 = vload2(4, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 2 * src_stride_y)); <span class="comment">// Row2</span></div><div class="line"><a name="l01468"></a><span class="lineno"> 1468</span>  half8 src30 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 3 * src_stride_y)); <span class="comment">// Row3</span></div><div class="line"><a name="l01469"></a><span class="lineno"> 1469</span>  half2 src31 = vload2(4, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 3 * src_stride_y)); <span class="comment">// Row3</span></div><div class="line"><a name="l01470"></a><span class="lineno"> 1470</span>  half8 src40 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 4 * src_stride_y)); <span class="comment">// Row4</span></div><div class="line"><a name="l01471"></a><span class="lineno"> 1471</span>  half2 src41 = vload2(4, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 4 * src_stride_y)); <span class="comment">// Row4</span></div><div class="line"><a name="l01472"></a><span class="lineno"> 1472</span> </div><div class="line"><a name="l01473"></a><span class="lineno"> 1473</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc">CONVOLUTION1x3_BIFROST4X1_STRIDE2</a>(pixels0, src00, src01, weights_row0);</div><div class="line"><a name="l01474"></a><span class="lineno"> 1474</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc">CONVOLUTION1x3_BIFROST4X1_STRIDE2</a>(pixels0, src10, src11, weights_row1);</div><div class="line"><a name="l01475"></a><span class="lineno"> 1475</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc">CONVOLUTION1x3_BIFROST4X1_STRIDE2</a>(pixels0, src20, src21, weights_row2);</div><div class="line"><a name="l01476"></a><span class="lineno"> 1476</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc">CONVOLUTION1x3_BIFROST4X1_STRIDE2</a>(pixels1, src20, src21, weights_row0);</div><div class="line"><a name="l01477"></a><span class="lineno"> 1477</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc">CONVOLUTION1x3_BIFROST4X1_STRIDE2</a>(pixels1, src30, src31, weights_row1);</div><div class="line"><a name="l01478"></a><span class="lineno"> 1478</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc">CONVOLUTION1x3_BIFROST4X1_STRIDE2</a>(pixels1, src40, src41, weights_row2);</div><div class="line"><a name="l01479"></a><span class="lineno"> 1479</span> </div><div class="line"><a name="l01480"></a><span class="lineno"> 1480</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l01481"></a><span class="lineno"> 1481</span>  <span class="comment">//3x3 Convolution of elements starting in 0th row</span></div><div class="line"><a name="l01482"></a><span class="lineno"> 1482</span>  pixels0 = convolution_3x3_dilation_stridex2_stridey2_bifrost_f16(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 0, weights_addr, weights_stride_y);</div><div class="line"><a name="l01483"></a><span class="lineno"> 1483</span>  <span class="comment">//3x3 Convolution of elements starting in 2nd row</span></div><div class="line"><a name="l01484"></a><span class="lineno"> 1484</span>  pixels1 = convolution_3x3_dilation_stridex2_stridey2_bifrost_f16(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 2, weights_addr, weights_stride_y);</div><div class="line"><a name="l01485"></a><span class="lineno"> 1485</span> <span class="preprocessor">#endif </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l01486"></a><span class="lineno"> 1486</span> </div><div class="line"><a name="l01487"></a><span class="lineno"> 1487</span> <span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l01488"></a><span class="lineno"> 1488</span>  pixels0 += (half4)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l01489"></a><span class="lineno"> 1489</span>  pixels1 += (half4)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l01490"></a><span class="lineno"> 1490</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01491"></a><span class="lineno"> 1491</span> </div><div class="line"><a name="l01492"></a><span class="lineno"> 1492</span>  vstore4(<a class="code" href="depthwise__convolution_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9">ACTIVATION_FUNC</a>(pixels0), 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 0 * dst_stride_y));</div><div class="line"><a name="l01493"></a><span class="lineno"> 1493</span>  vstore4(<a class="code" href="depthwise__convolution_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9">ACTIVATION_FUNC</a>(pixels1), 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 1 * dst_stride_y));</div><div class="line"><a name="l01494"></a><span class="lineno"> 1494</span> }</div><div class="line"><a name="l01495"></a><span class="lineno"> 1495</span> <span class="preprocessor">#endif // defined(ARM_COMPUTE_OPENCL_FP16_ENABLED) && defined(DEPTH_MULTIPLIER) && defined(DST_CHANNELS) && defined(IS_F16)</span></div><div class="line"><a name="l01496"></a><span class="lineno"> 1496</span> </div><div class="line"><a name="l01497"></a><span class="lineno"> 1497</span> <span class="preprocessor">#if defined(VEC_SIZE) && defined(SRC_DIM_2) && defined(CONV_PAD_TOP) && defined(CONV_PAD_LEFT) && defined(DATA_TYPE)</span></div><div class="line"><a name="l01498"></a><span class="lineno"> 1498</span> </div><div class="line"><a name="l01499"></a><span class="lineno"> 1499</span> <span class="preprocessor">#if DATA_TYPE != float || DATA_TYPE != half</span></div><div class="line"><a name="l01500"></a><span class="lineno"> 1500</span> <span class="preprocessor">#error "Unsupported data type"</span></div><div class="line"><a name="l01501"></a><span class="lineno"> 1501</span> <span class="preprocessor">#endif // DATA_TYPE != float || DATA_TYPE != half</span></div><div class="line"><a name="l01502"></a><span class="lineno"> 1502</span> </div><div class="line"><a name="l01503"></a><span class="lineno"> 1503</span> <span class="preprocessor">#define VEC_FLOAT VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)</span></div><div class="line"><a name="l01504"></a><span class="lineno"> 1504</span> </div><div class="line"><a name="l01505"></a><span class="lineno"> 1505</span> <span class="preprocessor">#if defined(CONV_STRIDE_X) && defined(CONV_STRIDE_Y)</span></div><div class="line"><a name="l01506"></a><span class="lineno"> 1506</span> </div><div class="line"><a name="l01554"></a><span class="lineno"> 1554</span> __kernel <span class="keywordtype">void</span> depthwise_convolution_3x3_nhwc(</div><div class="line"><a name="l01555"></a><span class="lineno"> 1555</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l01556"></a><span class="lineno"> 1556</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l01557"></a><span class="lineno"> 1557</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>),</div><div class="line"><a name="l01558"></a><span class="lineno"> 1558</span> #<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l01559"></a><span class="lineno"> 1559</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases),</div><div class="line"><a name="l01560"></a><span class="lineno"> 1560</span> #endif <span class="comment">/* defined(HAS_BIAS) */</span></div><div class="line"><a name="l01561"></a><span class="lineno"> 1561</span>  <span class="keywordtype">int</span> max_offset)</div><div class="line"><a name="l01562"></a><span class="lineno"> 1562</span> {</div><div class="line"><a name="l01563"></a><span class="lineno"> 1563</span>  <span class="keywordtype">int</span> x = get_global_id(0); <span class="comment">// channels</span></div><div class="line"><a name="l01564"></a><span class="lineno"> 1564</span>  <span class="keywordtype">int</span> y = get_global_id(1); <span class="comment">// spatial coordinate x</span></div><div class="line"><a name="l01565"></a><span class="lineno"> 1565</span> <span class="preprocessor">#if defined(DST_DEPTH)</span></div><div class="line"><a name="l01566"></a><span class="lineno"> 1566</span>  <span class="keywordtype">int</span> z = get_global_id(2) % (int)DST_DEPTH; <span class="comment">// spatial coordinate y</span></div><div class="line"><a name="l01567"></a><span class="lineno"> 1567</span>  <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = get_global_id(2) / (int)DST_DEPTH; <span class="comment">// batch</span></div><div class="line"><a name="l01568"></a><span class="lineno"> 1568</span> <span class="preprocessor">#else // defined(DST_DEPTH)</span></div><div class="line"><a name="l01569"></a><span class="lineno"> 1569</span>  <span class="keywordtype">int</span> z = get_global_id(2); <span class="comment">// spatial coordinate y</span></div><div class="line"><a name="l01570"></a><span class="lineno"> 1570</span> <span class="preprocessor">#endif // defined(DST_DEPTH)</span></div><div class="line"><a name="l01571"></a><span class="lineno"> 1571</span> </div><div class="line"><a name="l01572"></a><span class="lineno"> 1572</span>  <a class="code" href="struct_vector.xhtml">Vector</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>);</div><div class="line"><a name="l01573"></a><span class="lineno"> 1573</span> </div><div class="line"><a name="l01574"></a><span class="lineno"> 1574</span> <span class="preprocessor">#if defined(DST_DEPTH)</span></div><div class="line"><a name="l01575"></a><span class="lineno"> 1575</span>  __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * src_stride_w;</div><div class="line"><a name="l01576"></a><span class="lineno"> 1576</span> <span class="preprocessor">#else </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01577"></a><span class="lineno"> 1577</span>  __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE;</div><div class="line"><a name="l01578"></a><span class="lineno"> 1578</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01579"></a><span class="lineno"> 1579</span> </div><div class="line"><a name="l01580"></a><span class="lineno"> 1580</span>  <span class="keywordtype">int</span> z_coord = 0;</div><div class="line"><a name="l01581"></a><span class="lineno"> 1581</span>  int4 <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = 0;</div><div class="line"><a name="l01582"></a><span class="lineno"> 1582</span>  int4 y_offset = ((int4)(y * CONV_STRIDE_X) + (int4)(0, DILATION_X * 1, DILATION_X * 2, DILATION_X * 3) - CONV_PAD_LEFT) * (int4)src_stride_y;</div><div class="line"><a name="l01583"></a><span class="lineno"> 1583</span> </div><div class="line"><a name="l01584"></a><span class="lineno"> 1584</span>  <span class="comment">// We compute 2x1x1 [C,W,H] elements</span></div><div class="line"><a name="l01585"></a><span class="lineno"> 1585</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> acc = 0;</div><div class="line"><a name="l01586"></a><span class="lineno"> 1586</span> </div><div class="line"><a name="l01587"></a><span class="lineno"> 1587</span>  <span class="comment">// Load weights</span></div><div class="line"><a name="l01588"></a><span class="lineno"> 1588</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w0 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 0 * weights_stride_y + 0 * weights_stride_z));</div><div class="line"><a name="l01589"></a><span class="lineno"> 1589</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w1 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 1 * weights_stride_y + 0 * weights_stride_z));</div><div class="line"><a name="l01590"></a><span class="lineno"> 1590</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w2 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 2 * weights_stride_y + 0 * weights_stride_z));</div><div class="line"><a name="l01591"></a><span class="lineno"> 1591</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w3 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 0 * weights_stride_y + 1 * weights_stride_z));</div><div class="line"><a name="l01592"></a><span class="lineno"> 1592</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w4 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 1 * weights_stride_y + 1 * weights_stride_z));</div><div class="line"><a name="l01593"></a><span class="lineno"> 1593</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w5 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 2 * weights_stride_y + 1 * weights_stride_z));</div><div class="line"><a name="l01594"></a><span class="lineno"> 1594</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w6 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 0 * weights_stride_y + 2 * weights_stride_z));</div><div class="line"><a name="l01595"></a><span class="lineno"> 1595</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w7 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 1 * weights_stride_y + 2 * weights_stride_z));</div><div class="line"><a name="l01596"></a><span class="lineno"> 1596</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w8 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 2 * weights_stride_y + 2 * weights_stride_z));</div><div class="line"><a name="l01597"></a><span class="lineno"> 1597</span> </div><div class="line"><a name="l01598"></a><span class="lineno"> 1598</span>  <span class="comment">// Load input values</span></div><div class="line"><a name="l01599"></a><span class="lineno"> 1599</span>  <span class="comment">// z == 0</span></div><div class="line"><a name="l01600"></a><span class="lineno"> 1600</span>  <span class="comment">// Clamp z_coord as for z = 0, it can be negative</span></div><div class="line"><a name="l01601"></a><span class="lineno"> 1601</span>  <span class="comment">// z_coord is casted to unsigned int in order to use just a min() operation</span></div><div class="line"><a name="l01602"></a><span class="lineno"> 1602</span>  <span class="comment">// A "-1" 32 bit signed variable converted to unsigned gives 4294967295</span></div><div class="line"><a name="l01603"></a><span class="lineno"> 1603</span>  z_coord = z * CONV_STRIDE_Y - (int)CONV_PAD_TOP;</div><div class="line"><a name="l01604"></a><span class="lineno"> 1604</span>  z_coord = min((uint)z_coord, (uint)SRC_DIM_2);</div><div class="line"><a name="l01605"></a><span class="lineno"> 1605</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = y_offset + (int4)(z_coord * src_stride_z);</div><div class="line"><a name="l01606"></a><span class="lineno"> 1606</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = min(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>, (int4)max_offset);</div><div class="line"><a name="l01607"></a><span class="lineno"> 1607</span> </div><div class="line"><a name="l01608"></a><span class="lineno"> 1608</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values0 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s0));</div><div class="line"><a name="l01609"></a><span class="lineno"> 1609</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values1 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s1));</div><div class="line"><a name="l01610"></a><span class="lineno"> 1610</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values2 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s2));</div><div class="line"><a name="l01611"></a><span class="lineno"> 1611</span> </div><div class="line"><a name="l01612"></a><span class="lineno"> 1612</span>  <span class="comment">// z == 1</span></div><div class="line"><a name="l01613"></a><span class="lineno"> 1613</span>  <span class="comment">// z_coord can be only negative for z = 0 so we do not need to clamp it</span></div><div class="line"><a name="l01614"></a><span class="lineno"> 1614</span>  <span class="comment">// Moreover z_coord cannot be out-of-bound for z = 1 so we do not need to clamp the offset</span></div><div class="line"><a name="l01615"></a><span class="lineno"> 1615</span>  z_coord = z * CONV_STRIDE_Y - (int)CONV_PAD_TOP + DILATION_Y;</div><div class="line"><a name="l01616"></a><span class="lineno"> 1616</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = y_offset + (int4)(z_coord * src_stride_z);</div><div class="line"><a name="l01617"></a><span class="lineno"> 1617</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values3 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s0));</div><div class="line"><a name="l01618"></a><span class="lineno"> 1618</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values4 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s1));</div><div class="line"><a name="l01619"></a><span class="lineno"> 1619</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values5 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s2));</div><div class="line"><a name="l01620"></a><span class="lineno"> 1620</span> </div><div class="line"><a name="l01621"></a><span class="lineno"> 1621</span>  <span class="comment">// z == 2</span></div><div class="line"><a name="l01622"></a><span class="lineno"> 1622</span>  <span class="comment">// Offset can be out-of-bound so we need to check if it is greater than max_offset</span></div><div class="line"><a name="l01623"></a><span class="lineno"> 1623</span>  z_coord = z * CONV_STRIDE_Y - (int)CONV_PAD_TOP + DILATION_Y * 2;</div><div class="line"><a name="l01624"></a><span class="lineno"> 1624</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = y_offset + (int4)(z_coord * src_stride_z);</div><div class="line"><a name="l01625"></a><span class="lineno"> 1625</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = min(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>, (int4)max_offset);</div><div class="line"><a name="l01626"></a><span class="lineno"> 1626</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values6 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s0));</div><div class="line"><a name="l01627"></a><span class="lineno"> 1627</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values7 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s1));</div><div class="line"><a name="l01628"></a><span class="lineno"> 1628</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values8 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s2));</div><div class="line"><a name="l01629"></a><span class="lineno"> 1629</span> </div><div class="line"><a name="l01630"></a><span class="lineno"> 1630</span>  acc = fma(values0, w0, acc);</div><div class="line"><a name="l01631"></a><span class="lineno"> 1631</span>  acc = fma(values1, w1, acc);</div><div class="line"><a name="l01632"></a><span class="lineno"> 1632</span>  acc = fma(values2, w2, acc);</div><div class="line"><a name="l01633"></a><span class="lineno"> 1633</span> </div><div class="line"><a name="l01634"></a><span class="lineno"> 1634</span>  acc = fma(values3, w3, acc);</div><div class="line"><a name="l01635"></a><span class="lineno"> 1635</span>  acc = fma(values4, w4, acc);</div><div class="line"><a name="l01636"></a><span class="lineno"> 1636</span>  acc = fma(values5, w5, acc);</div><div class="line"><a name="l01637"></a><span class="lineno"> 1637</span> </div><div class="line"><a name="l01638"></a><span class="lineno"> 1638</span>  acc = fma(values6, w6, acc);</div><div class="line"><a name="l01639"></a><span class="lineno"> 1639</span>  acc = fma(values7, w7, acc);</div><div class="line"><a name="l01640"></a><span class="lineno"> 1640</span>  acc = fma(values8, w8, acc);</div><div class="line"><a name="l01641"></a><span class="lineno"> 1641</span> </div><div class="line"><a name="l01642"></a><span class="lineno"> 1642</span> <span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l01643"></a><span class="lineno"> 1643</span>  <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(biases);</div><div class="line"><a name="l01644"></a><span class="lineno"> 1644</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> bias_values = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)biases.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l01645"></a><span class="lineno"> 1645</span>  acc += bias_values;</div><div class="line"><a name="l01646"></a><span class="lineno"> 1646</span> <span class="preprocessor">#endif // defined(HAS_BIAS)</span></div><div class="line"><a name="l01647"></a><span class="lineno"> 1647</span> </div><div class="line"><a name="l01648"></a><span class="lineno"> 1648</span> <span class="preprocessor">#if defined(DST_DEPTH)</span></div><div class="line"><a name="l01649"></a><span class="lineno"> 1649</span>  __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * dst_step_x + y * dst_step_y + z * dst_step_z + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * dst_stride_w;</div><div class="line"><a name="l01650"></a><span class="lineno"> 1650</span> <span class="preprocessor">#else </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01651"></a><span class="lineno"> 1651</span>  __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * dst_step_x + y * dst_step_y + z * dst_step_z;</div><div class="line"><a name="l01652"></a><span class="lineno"> 1652</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01653"></a><span class="lineno"> 1653</span> </div><div class="line"><a name="l01654"></a><span class="lineno"> 1654</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l01655"></a><span class="lineno"> 1655</span>  (<a class="code" href="depthwise__convolution_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9">ACTIVATION_FUNC</a>(acc), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr));</div><div class="line"><a name="l01656"></a><span class="lineno"> 1656</span> }</div><div class="line"><a name="l01657"></a><span class="lineno"> 1657</span> <span class="preprocessor">#endif // defined(CONV_STRIDE_X) && defined(CONV_STRIDE_Y)</span></div><div class="line"><a name="l01658"></a><span class="lineno"> 1658</span> </div><div class="line"><a name="l01659"></a><span class="lineno"> 1659</span> <span class="preprocessor">#if defined(NUM_ROWS_PROCESSED) && defined(NUM_PLANES_PROCESSED)</span></div><div class="line"><a name="l01660"></a><span class="lineno"> 1660</span> </div><div class="line"><a name="l01708"></a><span class="lineno"> 1708</span> __kernel <span class="keywordtype">void</span> depthwise_convolution_3x3_nhwc_stride1(</div><div class="line"><a name="l01709"></a><span class="lineno"> 1709</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l01710"></a><span class="lineno"> 1710</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l01711"></a><span class="lineno"> 1711</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>),</div><div class="line"><a name="l01712"></a><span class="lineno"> 1712</span> #<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l01713"></a><span class="lineno"> 1713</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases),</div><div class="line"><a name="l01714"></a><span class="lineno"> 1714</span> #endif <span class="comment">/* defined(HAS_BIAS) */</span></div><div class="line"><a name="l01715"></a><span class="lineno"> 1715</span>  <span class="keywordtype">int</span> max_offset)</div><div class="line"><a name="l01716"></a><span class="lineno"> 1716</span> {</div><div class="line"><a name="l01717"></a><span class="lineno"> 1717</span>  <span class="keywordtype">int</span> x = get_global_id(0); <span class="comment">// channels</span></div><div class="line"><a name="l01718"></a><span class="lineno"> 1718</span>  <span class="keywordtype">int</span> y = get_global_id(1); <span class="comment">// spatial coordinate x</span></div><div class="line"><a name="l01719"></a><span class="lineno"> 1719</span> <span class="preprocessor">#if defined(DST_DEPTH)</span></div><div class="line"><a name="l01720"></a><span class="lineno"> 1720</span>  <span class="keywordtype">int</span> z = get_global_id(2) % (int)DST_DEPTH; <span class="comment">// spatial coordinate y</span></div><div class="line"><a name="l01721"></a><span class="lineno"> 1721</span>  <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = get_global_id(2) / (int)DST_DEPTH; <span class="comment">// batch</span></div><div class="line"><a name="l01722"></a><span class="lineno"> 1722</span> <span class="preprocessor">#else // defined(DST_DEPTH)</span></div><div class="line"><a name="l01723"></a><span class="lineno"> 1723</span>  <span class="keywordtype">int</span> z = get_global_id(2); <span class="comment">// spatial coordinate y</span></div><div class="line"><a name="l01724"></a><span class="lineno"> 1724</span> <span class="preprocessor">#endif // defined(DST_DEPTH)</span></div><div class="line"><a name="l01725"></a><span class="lineno"> 1725</span> </div><div class="line"><a name="l01726"></a><span class="lineno"> 1726</span>  <a class="code" href="struct_vector.xhtml">Vector</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>);</div><div class="line"><a name="l01727"></a><span class="lineno"> 1727</span> </div><div class="line"><a name="l01728"></a><span class="lineno"> 1728</span> <span class="preprocessor">#if defined(DST_DEPTH)</span></div><div class="line"><a name="l01729"></a><span class="lineno"> 1729</span>  __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * src_stride_w;</div><div class="line"><a name="l01730"></a><span class="lineno"> 1730</span> <span class="preprocessor">#else </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01731"></a><span class="lineno"> 1731</span>  __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE;</div><div class="line"><a name="l01732"></a><span class="lineno"> 1732</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01733"></a><span class="lineno"> 1733</span> </div><div class="line"><a name="l01734"></a><span class="lineno"> 1734</span>  <span class="keywordtype">int</span> z_coord = 0;</div><div class="line"><a name="l01735"></a><span class="lineno"> 1735</span>  int4 <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = 0;</div><div class="line"><a name="l01736"></a><span class="lineno"> 1736</span>  int4 y_offset = ((int4)(y * NUM_ROWS_PROCESSED) + (int4)(0, 1, 2, 3) - (int)CONV_PAD_LEFT) * (int4)src_stride_y;</div><div class="line"><a name="l01737"></a><span class="lineno"> 1737</span> </div><div class="line"><a name="l01738"></a><span class="lineno"> 1738</span>  <span class="comment">// We compute 2x2x2 [C,W,H] elements</span></div><div class="line"><a name="l01739"></a><span class="lineno"> 1739</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> acc0 = 0;</div><div class="line"><a name="l01740"></a><span class="lineno"> 1740</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> acc1 = 0;</div><div class="line"><a name="l01741"></a><span class="lineno"> 1741</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> acc2 = 0;</div><div class="line"><a name="l01742"></a><span class="lineno"> 1742</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> acc3 = 0;</div><div class="line"><a name="l01743"></a><span class="lineno"> 1743</span> </div><div class="line"><a name="l01744"></a><span class="lineno"> 1744</span>  <span class="comment">// Load weights</span></div><div class="line"><a name="l01745"></a><span class="lineno"> 1745</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w0 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 0 * weights_stride_y + 0 * weights_stride_z));</div><div class="line"><a name="l01746"></a><span class="lineno"> 1746</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w1 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 1 * weights_stride_y + 0 * weights_stride_z));</div><div class="line"><a name="l01747"></a><span class="lineno"> 1747</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w2 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 2 * weights_stride_y + 0 * weights_stride_z));</div><div class="line"><a name="l01748"></a><span class="lineno"> 1748</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w3 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 0 * weights_stride_y + 1 * weights_stride_z));</div><div class="line"><a name="l01749"></a><span class="lineno"> 1749</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w4 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 1 * weights_stride_y + 1 * weights_stride_z));</div><div class="line"><a name="l01750"></a><span class="lineno"> 1750</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w5 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 2 * weights_stride_y + 1 * weights_stride_z));</div><div class="line"><a name="l01751"></a><span class="lineno"> 1751</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w6 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 0 * weights_stride_y + 2 * weights_stride_z));</div><div class="line"><a name="l01752"></a><span class="lineno"> 1752</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w7 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 1 * weights_stride_y + 2 * weights_stride_z));</div><div class="line"><a name="l01753"></a><span class="lineno"> 1753</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w8 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 2 * weights_stride_y + 2 * weights_stride_z));</div><div class="line"><a name="l01754"></a><span class="lineno"> 1754</span> </div><div class="line"><a name="l01755"></a><span class="lineno"> 1755</span>  <span class="comment">// Load input values</span></div><div class="line"><a name="l01756"></a><span class="lineno"> 1756</span>  <span class="comment">// z == 0</span></div><div class="line"><a name="l01757"></a><span class="lineno"> 1757</span>  <span class="comment">// Clamp z_coord as for z = 0, it can be negative</span></div><div class="line"><a name="l01758"></a><span class="lineno"> 1758</span>  <span class="comment">// z_coord is casted to unsigned int in order to use just a min() operation</span></div><div class="line"><a name="l01759"></a><span class="lineno"> 1759</span>  <span class="comment">// A "-1" 32 bit signed variable converted to unsigned gives 4294967295</span></div><div class="line"><a name="l01760"></a><span class="lineno"> 1760</span>  z_coord = z * (int)NUM_PLANES_PROCESSED - (<span class="keywordtype">int</span>)CONV_PAD_TOP;</div><div class="line"><a name="l01761"></a><span class="lineno"> 1761</span>  z_coord = min((uint)z_coord, (uint)SRC_DIM_2);</div><div class="line"><a name="l01762"></a><span class="lineno"> 1762</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = y_offset + (int4)(z_coord * src_stride_z);</div><div class="line"><a name="l01763"></a><span class="lineno"> 1763</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = min(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>, (int4)max_offset);</div><div class="line"><a name="l01764"></a><span class="lineno"> 1764</span> </div><div class="line"><a name="l01765"></a><span class="lineno"> 1765</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values0 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s0));</div><div class="line"><a name="l01766"></a><span class="lineno"> 1766</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values1 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s1));</div><div class="line"><a name="l01767"></a><span class="lineno"> 1767</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values2 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s2));</div><div class="line"><a name="l01768"></a><span class="lineno"> 1768</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values3 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s3));</div><div class="line"><a name="l01769"></a><span class="lineno"> 1769</span> </div><div class="line"><a name="l01770"></a><span class="lineno"> 1770</span>  <span class="comment">// z == 1</span></div><div class="line"><a name="l01771"></a><span class="lineno"> 1771</span>  <span class="comment">// z_coord can be only negative for z = 0 so we do not need to clamp it</span></div><div class="line"><a name="l01772"></a><span class="lineno"> 1772</span>  <span class="comment">// Moreover z_coord cannot be out-of-bound for z = 1 so we do not need to clamp the offset</span></div><div class="line"><a name="l01773"></a><span class="lineno"> 1773</span>  z_coord = z * (int)NUM_PLANES_PROCESSED - (<span class="keywordtype">int</span>)CONV_PAD_TOP + 1;</div><div class="line"><a name="l01774"></a><span class="lineno"> 1774</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = y_offset + (int4)(z_coord * src_stride_z);</div><div class="line"><a name="l01775"></a><span class="lineno"> 1775</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values4 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s0));</div><div class="line"><a name="l01776"></a><span class="lineno"> 1776</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values5 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s1));</div><div class="line"><a name="l01777"></a><span class="lineno"> 1777</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values6 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s2));</div><div class="line"><a name="l01778"></a><span class="lineno"> 1778</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values7 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s3));</div><div class="line"><a name="l01779"></a><span class="lineno"> 1779</span> </div><div class="line"><a name="l01780"></a><span class="lineno"> 1780</span>  <span class="comment">// z == 2</span></div><div class="line"><a name="l01781"></a><span class="lineno"> 1781</span>  <span class="comment">// After z = 1 we can simply add src_stride_z to offset without updating z_coord</span></div><div class="line"><a name="l01782"></a><span class="lineno"> 1782</span>  <span class="comment">// However offset can be out-of-bound so we need to check if it is greater than max_offset</span></div><div class="line"><a name="l01783"></a><span class="lineno"> 1783</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> += (int4)src_stride_z;</div><div class="line"><a name="l01784"></a><span class="lineno"> 1784</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = min(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>, (int4)max_offset);</div><div class="line"><a name="l01785"></a><span class="lineno"> 1785</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values8 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s0));</div><div class="line"><a name="l01786"></a><span class="lineno"> 1786</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values9 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s1));</div><div class="line"><a name="l01787"></a><span class="lineno"> 1787</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values10 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s2));</div><div class="line"><a name="l01788"></a><span class="lineno"> 1788</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values11 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s3));</div><div class="line"><a name="l01789"></a><span class="lineno"> 1789</span> </div><div class="line"><a name="l01790"></a><span class="lineno"> 1790</span>  <span class="comment">// z == 3</span></div><div class="line"><a name="l01791"></a><span class="lineno"> 1791</span>  <span class="comment">// After z = 1 we can simply add src_stride_z to offset without updating z_coord</span></div><div class="line"><a name="l01792"></a><span class="lineno"> 1792</span>  <span class="comment">// However offset can be out-of-bound so we need to check if it is greater than max_offset</span></div><div class="line"><a name="l01793"></a><span class="lineno"> 1793</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> += (int4)src_stride_z;</div><div class="line"><a name="l01794"></a><span class="lineno"> 1794</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = min(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>, (int4)max_offset);</div><div class="line"><a name="l01795"></a><span class="lineno"> 1795</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values12 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s0));</div><div class="line"><a name="l01796"></a><span class="lineno"> 1796</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values13 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s1));</div><div class="line"><a name="l01797"></a><span class="lineno"> 1797</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values14 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s2));</div><div class="line"><a name="l01798"></a><span class="lineno"> 1798</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values15 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s3));</div><div class="line"><a name="l01799"></a><span class="lineno"> 1799</span> </div><div class="line"><a name="l01800"></a><span class="lineno"> 1800</span>  acc0 = fma(values0, w0, acc0);</div><div class="line"><a name="l01801"></a><span class="lineno"> 1801</span>  acc0 = fma(values1, w1, acc0);</div><div class="line"><a name="l01802"></a><span class="lineno"> 1802</span>  acc0 = fma(values2, w2, acc0);</div><div class="line"><a name="l01803"></a><span class="lineno"> 1803</span>  acc1 = fma(values1, w0, acc1);</div><div class="line"><a name="l01804"></a><span class="lineno"> 1804</span>  acc1 = fma(values2, w1, acc1);</div><div class="line"><a name="l01805"></a><span class="lineno"> 1805</span>  acc1 = fma(values3, w2, acc1);</div><div class="line"><a name="l01806"></a><span class="lineno"> 1806</span> </div><div class="line"><a name="l01807"></a><span class="lineno"> 1807</span>  acc0 = fma(values4, w3, acc0);</div><div class="line"><a name="l01808"></a><span class="lineno"> 1808</span>  acc0 = fma(values5, w4, acc0);</div><div class="line"><a name="l01809"></a><span class="lineno"> 1809</span>  acc0 = fma(values6, w5, acc0);</div><div class="line"><a name="l01810"></a><span class="lineno"> 1810</span>  acc1 = fma(values5, w3, acc1);</div><div class="line"><a name="l01811"></a><span class="lineno"> 1811</span>  acc1 = fma(values6, w4, acc1);</div><div class="line"><a name="l01812"></a><span class="lineno"> 1812</span>  acc1 = fma(values7, w5, acc1);</div><div class="line"><a name="l01813"></a><span class="lineno"> 1813</span> </div><div class="line"><a name="l01814"></a><span class="lineno"> 1814</span>  acc0 = fma(values8, w6, acc0);</div><div class="line"><a name="l01815"></a><span class="lineno"> 1815</span>  acc0 = fma(values9, w7, acc0);</div><div class="line"><a name="l01816"></a><span class="lineno"> 1816</span>  acc0 = fma(values10, w8, acc0);</div><div class="line"><a name="l01817"></a><span class="lineno"> 1817</span>  acc1 = fma(values9, w6, acc1);</div><div class="line"><a name="l01818"></a><span class="lineno"> 1818</span>  acc1 = fma(values10, w7, acc1);</div><div class="line"><a name="l01819"></a><span class="lineno"> 1819</span>  acc1 = fma(values11, w8, acc1);</div><div class="line"><a name="l01820"></a><span class="lineno"> 1820</span> </div><div class="line"><a name="l01821"></a><span class="lineno"> 1821</span>  acc2 = fma(values4, w0, acc2);</div><div class="line"><a name="l01822"></a><span class="lineno"> 1822</span>  acc2 = fma(values5, w1, acc2);</div><div class="line"><a name="l01823"></a><span class="lineno"> 1823</span>  acc2 = fma(values6, w2, acc2);</div><div class="line"><a name="l01824"></a><span class="lineno"> 1824</span>  acc3 = fma(values5, w0, acc3);</div><div class="line"><a name="l01825"></a><span class="lineno"> 1825</span>  acc3 = fma(values6, w1, acc3);</div><div class="line"><a name="l01826"></a><span class="lineno"> 1826</span>  acc3 = fma(values7, w2, acc3);</div><div class="line"><a name="l01827"></a><span class="lineno"> 1827</span> </div><div class="line"><a name="l01828"></a><span class="lineno"> 1828</span>  acc2 = fma(values8, w3, acc2);</div><div class="line"><a name="l01829"></a><span class="lineno"> 1829</span>  acc2 = fma(values9, w4, acc2);</div><div class="line"><a name="l01830"></a><span class="lineno"> 1830</span>  acc2 = fma(values10, w5, acc2);</div><div class="line"><a name="l01831"></a><span class="lineno"> 1831</span>  acc3 = fma(values9, w3, acc3);</div><div class="line"><a name="l01832"></a><span class="lineno"> 1832</span>  acc3 = fma(values10, w4, acc3);</div><div class="line"><a name="l01833"></a><span class="lineno"> 1833</span>  acc3 = fma(values11, w5, acc3);</div><div class="line"><a name="l01834"></a><span class="lineno"> 1834</span> </div><div class="line"><a name="l01835"></a><span class="lineno"> 1835</span>  acc2 = fma(values12, w6, acc2);</div><div class="line"><a name="l01836"></a><span class="lineno"> 1836</span>  acc2 = fma(values13, w7, acc2);</div><div class="line"><a name="l01837"></a><span class="lineno"> 1837</span>  acc2 = fma(values14, w8, acc2);</div><div class="line"><a name="l01838"></a><span class="lineno"> 1838</span>  acc3 = fma(values13, w6, acc3);</div><div class="line"><a name="l01839"></a><span class="lineno"> 1839</span>  acc3 = fma(values14, w7, acc3);</div><div class="line"><a name="l01840"></a><span class="lineno"> 1840</span>  acc3 = fma(values15, w8, acc3);</div><div class="line"><a name="l01841"></a><span class="lineno"> 1841</span> </div><div class="line"><a name="l01842"></a><span class="lineno"> 1842</span> <span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l01843"></a><span class="lineno"> 1843</span>  <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(biases);</div><div class="line"><a name="l01844"></a><span class="lineno"> 1844</span> </div><div class="line"><a name="l01845"></a><span class="lineno"> 1845</span>  <a class="code" href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> bias_values = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)biases.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l01846"></a><span class="lineno"> 1846</span> </div><div class="line"><a name="l01847"></a><span class="lineno"> 1847</span>  acc0 += bias_values;</div><div class="line"><a name="l01848"></a><span class="lineno"> 1848</span>  acc1 += bias_values;</div><div class="line"><a name="l01849"></a><span class="lineno"> 1849</span>  acc2 += bias_values;</div><div class="line"><a name="l01850"></a><span class="lineno"> 1850</span>  acc3 += bias_values;</div><div class="line"><a name="l01851"></a><span class="lineno"> 1851</span> <span class="preprocessor">#endif // defined(HAS_BIAS)</span></div><div class="line"><a name="l01852"></a><span class="lineno"> 1852</span> </div><div class="line"><a name="l01853"></a><span class="lineno"> 1853</span> <span class="preprocessor">#if defined(DST_DEPTH)</span></div><div class="line"><a name="l01854"></a><span class="lineno"> 1854</span>  __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * dst_step_x + y * dst_step_y + (z * NUM_PLANES_PROCESSED) * dst_step_z + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * dst_stride_w;</div><div class="line"><a name="l01855"></a><span class="lineno"> 1855</span> <span class="preprocessor">#else </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01856"></a><span class="lineno"> 1856</span>  __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * dst_step_x + y * dst_step_y + (z * NUM_PLANES_PROCESSED) * dst_step_z;</div><div class="line"><a name="l01857"></a><span class="lineno"> 1857</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01858"></a><span class="lineno"> 1858</span> </div><div class="line"><a name="l01859"></a><span class="lineno"> 1859</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l01860"></a><span class="lineno"> 1860</span>  (<a class="code" href="depthwise__convolution_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9">ACTIVATION_FUNC</a>(acc0), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 0 * dst_stride_y));</div><div class="line"><a name="l01861"></a><span class="lineno"> 1861</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l01862"></a><span class="lineno"> 1862</span>  (<a class="code" href="depthwise__convolution_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9">ACTIVATION_FUNC</a>(acc1), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 1 * dst_stride_y));</div><div class="line"><a name="l01863"></a><span class="lineno"> 1863</span> </div><div class="line"><a name="l01864"></a><span class="lineno"> 1864</span> <span class="preprocessor">#if((DST_DIM_2 % NUM_PLANES_PROCESSED) != 0)</span></div><div class="line"><a name="l01865"></a><span class="lineno"> 1865</span>  <span class="keywordflow">if</span>((z * NUM_PLANES_PROCESSED + 1) < DST_DIM_2)</div><div class="line"><a name="l01866"></a><span class="lineno"> 1866</span> #endif <span class="comment">// ((DST_DIM_2 % NUM_PLANES_PROCESSED) != 0)</span></div><div class="line"><a name="l01867"></a><span class="lineno"> 1867</span>  {</div><div class="line"><a name="l01868"></a><span class="lineno"> 1868</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l01869"></a><span class="lineno"> 1869</span>  (<a class="code" href="depthwise__convolution_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9">ACTIVATION_FUNC</a>(acc2), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 0 * dst_stride_y + 1 * dst_stride_z));</div><div class="line"><a name="l01870"></a><span class="lineno"> 1870</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l01871"></a><span class="lineno"> 1871</span>  (<a class="code" href="depthwise__convolution_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9">ACTIVATION_FUNC</a>(acc3), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 1 * dst_stride_y + 1 * dst_stride_z));</div><div class="line"><a name="l01872"></a><span class="lineno"> 1872</span>  }</div><div class="line"><a name="l01873"></a><span class="lineno"> 1873</span> }</div><div class="line"><a name="l01874"></a><span class="lineno"> 1874</span> </div><div class="line"><a name="l01875"></a><span class="lineno"> 1875</span> <span class="preprocessor">#endif // defined(NUM_ROWS_PROCESSED) && defined(NUM_PLANES_PROCESSED)</span></div><div class="line"><a name="l01876"></a><span class="lineno"> 1876</span> <span class="preprocessor">#endif // defined(VEC_SIZE) && defined(SRC_DIM_2) && defined(CONV_PAD_TOP) && defined(CONV_PAD_LEFT) && defined(DATA_TYPE)</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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00143">helpers.h:143</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00312">helpers.h:312</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_aa8d95ba04fc73845abc6045952cae5be"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a></div><div class="ttdeci">#define CONVERT(x, type)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00063">helpers.h:63</a></div></div>
+<a href="depthwise__convolution_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) 2017-2019 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> </div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml">helpers.h</a>"</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="activation__float__helpers_8h.xhtml">activation_float_helpers.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450"> 39</a></span> <span class="keyword">inline</span> __global uchar *<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(__global uchar *ptr, <span class="keyword">const</span> <span class="keywordtype">int</span> x, <span class="keyword">const</span> <span class="keywordtype">int</span> y, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_x, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_y)</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordflow">return</span> ptr + x * stride_x + y * stride_y;</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> </div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="preprocessor">#define CONVOLUTION1x3_BIFROST2X1_STRIDE1(acc, src0, weights_row0) \</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="preprocessor"> acc.s0 = fma(src0.s0, weights_row0.s0, acc.s0); \</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="preprocessor"> acc.s0 = fma(src0.s1, weights_row0.s1, acc.s0); \</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="preprocessor"> acc.s0 = fma(src0.s2, weights_row0.s2, acc.s0); \</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="preprocessor"> acc.s1 = fma(src0.s1, weights_row0.s0, acc.s1); \</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="preprocessor"> acc.s1 = fma(src0.s2, weights_row0.s1, acc.s1); \</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="preprocessor"> acc.s1 = fma(src0.s3, weights_row0.s2, acc.s1); \</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> </div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="preprocessor">#define CONVOLUTION1x3_BIFROST4X1_STRIDE1(acc, src0, weights_row0) \</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="preprocessor"> acc.s0 = fma(src0.s0, weights_row0.s0, acc.s0); \</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="preprocessor"> acc.s0 = fma(src0.s1, weights_row0.s1, acc.s0); \</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="preprocessor"> acc.s0 = fma(src0.s2, weights_row0.s2, acc.s0); \</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="preprocessor"> acc.s1 = fma(src0.s1, weights_row0.s0, acc.s1); \</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="preprocessor"> acc.s1 = fma(src0.s2, weights_row0.s1, acc.s1); \</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="preprocessor"> acc.s1 = fma(src0.s3, weights_row0.s2, acc.s1); \</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="preprocessor"> acc.s2 = fma(src0.s2, weights_row0.s0, acc.s2); \</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="preprocessor"> acc.s2 = fma(src0.s3, weights_row0.s1, acc.s2); \</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="preprocessor"> acc.s2 = fma(src0.s4, weights_row0.s2, acc.s2); \</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="preprocessor"> acc.s3 = fma(src0.s3, weights_row0.s0, acc.s3); \</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="preprocessor"> acc.s3 = fma(src0.s4, weights_row0.s1, acc.s3); \</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="preprocessor"> acc.s3 = fma(src0.s5, weights_row0.s2, acc.s3); \</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> </div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="preprocessor">#define CONVOLUTION1x3_BIFROST2X1_STRIDE2(acc, src0, src1, weights_row0) \</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="preprocessor"> acc.s0 = fma(src0.s0, weights_row0.s0, acc.s0); \</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="preprocessor"> acc.s0 = fma(src0.s1, weights_row0.s1, acc.s0); \</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="preprocessor"> acc.s0 = fma(src0.s2, weights_row0.s2, acc.s0); \</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="preprocessor"> acc.s1 = fma(src0.s2, weights_row0.s0, acc.s1); \</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="preprocessor"> acc.s1 = fma(src0.s3, weights_row0.s1, acc.s1); \</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="preprocessor"> acc.s1 = fma(src1.s0, weights_row0.s2, acc.s1); \</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="l00082"></a><span class="lineno"> 82</span> <span class="preprocessor">#define CONVOLUTION1x3_BIFROST4X1_STRIDE2(acc, src0, src1, weights_row0) \</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="preprocessor"> acc.s0 = fma(src0.s0, weights_row0.s0, acc.s0); \</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="preprocessor"> acc.s0 = fma(src0.s1, weights_row0.s1, acc.s0); \</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="preprocessor"> acc.s0 = fma(src0.s2, weights_row0.s2, acc.s0); \</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="preprocessor"> acc.s1 = fma(src0.s2, weights_row0.s0, acc.s1); \</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="preprocessor"> acc.s1 = fma(src0.s3, weights_row0.s1, acc.s1); \</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="preprocessor"> acc.s1 = fma(src0.s4, weights_row0.s2, acc.s1); \</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="preprocessor"> acc.s2 = fma(src0.s4, weights_row0.s0, acc.s2); \</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="preprocessor"> acc.s2 = fma(src0.s5, weights_row0.s1, acc.s2); \</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="preprocessor"> acc.s2 = fma(src0.s6, weights_row0.s2, acc.s2); \</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="preprocessor"> acc.s3 = fma(src0.s6, weights_row0.s0, acc.s3); \</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="preprocessor"> acc.s3 = fma(src0.s7, weights_row0.s1, acc.s3); \</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="preprocessor"> acc.s3 = fma(src1.s0, weights_row0.s2, acc.s3); \</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="preprocessor"> })</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44"> 100</a></span> <span class="preprocessor">#define CONVOLUTION1x3_BIFROST2X1_STRIDE1(acc, src0_left, src0_mid, src0_right, weights_row0) \</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="preprocessor"> acc.s0 = fma(src0_left.s0, weights_row0.s0, acc.s0); \</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="preprocessor"> acc.s0 = fma(src0_mid.s0, weights_row0.s1, acc.s0); \</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="preprocessor"> acc.s0 = fma(src0_right.s0, weights_row0.s2, acc.s0); \</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="preprocessor"> acc.s1 = fma(src0_left.s1, weights_row0.s0, acc.s1); \</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="preprocessor"> acc.s1 = fma(src0_mid.s1, weights_row0.s1, acc.s1); \</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="preprocessor"> acc.s1 = fma(src0_right.s1, weights_row0.s2, acc.s1); \</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="preprocessor"> })</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44"> 110</a></span> <span class="preprocessor">#define CONVOLUTION1x3_BIFROST2X1_STRIDE2(acc, src0_left, src0_mid, src0_right, weights_row0) \</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="preprocessor"> acc.s0 = fma(src0_left.s0, weights_row0.s0, acc.s0); \</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="preprocessor"> acc.s0 = fma(src0_mid.s0, weights_row0.s1, acc.s0); \</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="preprocessor"> acc.s0 = fma(src0_right.s0, weights_row0.s2, acc.s0); \</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="preprocessor"> acc.s1 = fma(src0_left.s2, weights_row0.s0, acc.s1); \</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="preprocessor"> acc.s1 = fma(src0_mid.s2, weights_row0.s1, acc.s1); \</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="preprocessor"> acc.s1 = fma(src0_right.s2, weights_row0.s2, acc.s1); \</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="preprocessor"> })</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div><div class="line"><a name="l00120"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa"> 120</a></span> <span class="preprocessor">#define CONVOLUTION1x3_BIFROST4X1_STRIDE1(acc, src0_left, src0_mid, src0_right, weights_row0) \</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="preprocessor"> acc.s0 = fma(src0_left.s0, weights_row0.s0, acc.s0); \</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="preprocessor"> acc.s0 = fma(src0_mid.s0, weights_row0.s1, acc.s0); \</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="preprocessor"> acc.s0 = fma(src0_right.s0, weights_row0.s2, acc.s0); \</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="preprocessor"> acc.s1 = fma(src0_left.s1, weights_row0.s0, acc.s1); \</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="preprocessor"> acc.s1 = fma(src0_mid.s1, weights_row0.s1, acc.s1); \</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="preprocessor"> acc.s1 = fma(src0_right.s1, weights_row0.s2, acc.s1); \</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="preprocessor"> acc.s2 = fma(src0_left.s2, weights_row0.s0, acc.s2); \</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <span class="preprocessor"> acc.s2 = fma(src0_mid.s2, weights_row0.s1, acc.s2); \</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="preprocessor"> acc.s2 = fma(src0_right.s2, weights_row0.s2, acc.s2); \</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="preprocessor"> acc.s3 = fma(src0_left.s3, weights_row0.s0, acc.s3); \</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="preprocessor"> acc.s3 = fma(src0_mid.s3, weights_row0.s1, acc.s3); \</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="preprocessor"> acc.s3 = fma(src0_right.s3, weights_row0.s2, acc.s3); \</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="preprocessor"> })</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00136"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc"> 136</a></span> <span class="preprocessor">#define CONVOLUTION1x3_BIFROST4X1_STRIDE2(acc, src0_left, src0_mid, src0_right, weights_row0) \</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> <span class="preprocessor"> acc.s0 = fma(src0_left.s0, weights_row0.s0, acc.s0); \</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> <span class="preprocessor"> acc.s0 = fma(src0_mid.s0, weights_row0.s1, acc.s0); \</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> <span class="preprocessor"> acc.s0 = fma(src0_right.s0, weights_row0.s2, acc.s0); \</span></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> <span class="preprocessor"> acc.s1 = fma(src0_left.s2, weights_row0.s0, acc.s1); \</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> <span class="preprocessor"> acc.s1 = fma(src0_mid.s2, weights_row0.s1, acc.s1); \</span></div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> <span class="preprocessor"> acc.s1 = fma(src0_right.s2, weights_row0.s2, acc.s1); \</span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> <span class="preprocessor"> acc.s2 = fma(src0_left.s4, weights_row0.s0, acc.s2); \</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> <span class="preprocessor"> acc.s2 = fma(src0_mid.s4, weights_row0.s1, acc.s2); \</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <span class="preprocessor"> acc.s2 = fma(src0_right.s4, weights_row0.s2, acc.s2); \</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> <span class="preprocessor"> acc.s3 = fma(src0_left.s6, weights_row0.s0, acc.s3); \</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> <span class="preprocessor"> acc.s3 = fma(src0_mid.s6, weights_row0.s1, acc.s3); \</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> <span class="preprocessor"> acc.s3 = fma(src0_right.s6, weights_row0.s2, acc.s3); \</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> <span class="preprocessor"> })</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> <span class="preprocessor">#endif </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></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> <span class="preprocessor">#if defined(DEPTH_MULTIPLIER) && defined(DST_CHANNELS) && defined(IS_F32)</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> <span class="preprocessor">#if defined(CONV_STRIDE_X)</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> <span class="preprocessor">#if CONV_STRIDE_X == 1</span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> <span class="preprocessor">#define convolution1x3 convolution1x3_stride_1</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> <span class="preprocessor">#elif CONV_STRIDE_X == 2</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> <span class="preprocessor">#define convolution1x3 convolution1x3_stride_2</span></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> <span class="preprocessor">#elif CONV_STRIDE_X == 3</span></div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> <span class="preprocessor">#define convolution1x3 convolution1x3_stride_3</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> <span class="preprocessor">#else </span><span class="comment">/* CONV_STRIDE_X */</span><span class="preprocessor"></span></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> <span class="preprocessor">#error "Stride not supported"</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="preprocessor">#endif </span><span class="comment">/* CONV_STRIDE_X */</span><span class="preprocessor"></span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="keyword">inline</span> float2 convolution1x3_stride_1(__global <span class="keyword">const</span> uchar *left_pixel,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> left_coeff,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> middle_coeff,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> right_coeff)</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> {</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  float4 temp = vload4(0, (__global <span class="keywordtype">float</span> *)left_pixel);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  float2 left = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s01, float2);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  float2 middle = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s12, float2);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  float2 right = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s23, float2);</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordflow">return</span> left * (float2)left_coeff + middle * (float2)middle_coeff + right * (float2)right_coeff;</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">return</span> vload2(0, (__global <span class="keywordtype">float</span> *)left_pixel) * (float2)left_coeff</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  + vload2(0, (__global <span class="keywordtype">float</span> *)(left_pixel) + DILATION_X) * (float2)middle_coeff</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  + vload2(0, (__global <span class="keywordtype">float</span> *)(left_pixel) + 2 * DILATION_X) * (float2)right_coeff;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> <span class="preprocessor">#endif </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> }</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> </div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="keyword">inline</span> float2 convolution1x3_stride_2(__global <span class="keyword">const</span> uchar *left_pixel,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> left_coeff,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> middle_coeff,</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> right_coeff)</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> {</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  float4 temp0 = vload4(0, (__global <span class="keywordtype">float</span> *)left_pixel);</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keywordtype">float</span> temp1 = *((__global <span class="keywordtype">float</span> *)(left_pixel + 4 * <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>)));</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  float2 left = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s02, float2);</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  float2 middle = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s13, float2);</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  float2 right = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((float2)(temp0.s2, temp1), float2);</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> </div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keywordflow">return</span> left * (float2)left_coeff + middle * (float2)middle_coeff + right * (float2)right_coeff;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  __global <span class="keywordtype">float</span> *left_pixel_float = (__global <span class="keywordtype">float</span> *)left_pixel;</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordflow">return</span> vload4(0, left_pixel_float).s02 * (float2)left_coeff</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  + vload4(0, left_pixel_float + DILATION_X).s02 * (float2)middle_coeff</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  + vload4(0, left_pixel_float + DILATION_X * 2).s02 * (float2)right_coeff;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> <span class="preprocessor">#endif </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></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> </div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> <span class="keyword">inline</span> float2 convolution1x3_stride_3(__global <span class="keyword">const</span> uchar *left_pixel,</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> left_coeff,</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> middle_coeff,</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> right_coeff)</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> {</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  float4 temp0 = vload4(0, (__global <span class="keywordtype">float</span> *)left_pixel);</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  float2 temp1 = vload2(0, (__global <span class="keywordtype">float</span> *)(left_pixel + 4 * <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>)));</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  float2 left = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s03, float2);</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  float2 middle = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((float2)(temp0.s1, temp1.s0), float2);</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  float2 right = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((float2)(temp0.s2, temp1.s1), float2);</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> </div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">return</span> left * (float2)left_coeff + middle * (float2)middle_coeff + right * (float2)right_coeff;</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  __global <span class="keywordtype">float</span> *left_pixel_float = (__global <span class="keywordtype">float</span> *)left_pixel;</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="keywordflow">return</span> (float2)(*left_pixel_float, *(left_pixel_float + 3)) * (float2)left_coeff</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  + (float2)(*(left_pixel_float + DILATION_X), *(left_pixel_float + DILATION_X + 3)) * (float2)middle_coeff</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  + (float2)(*(left_pixel_float + DILATION_X * 2), *(left_pixel_float + DILATION_X * 2 + 3)) * (float2)right_coeff;</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> <span class="preprocessor">#endif </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span> }</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> <span class="keyword">inline</span> float2 <a class="code" href="convolution3x3_8cl.xhtml#afc5fefe72e66f0ae5191fd5b708fade9">convolution3x3</a>(</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  __global <span class="keyword">const</span> uchar *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>,</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> src_stride_y,</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> mat0, <span class="keyword">const</span> <span class="keywordtype">float</span> mat1, <span class="keyword">const</span> <span class="keywordtype">float</span> mat2,</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> mat3, <span class="keyword">const</span> <span class="keywordtype">float</span> mat4, <span class="keyword">const</span> <span class="keywordtype">float</span> mat5,</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> mat6, <span class="keyword">const</span> <span class="keywordtype">float</span> mat7, <span class="keyword">const</span> <span class="keywordtype">float</span> mat8)</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>  float2 pixels;</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span> </div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  pixels = <a class="code" href="convolution3x3_8cl.xhtml#a92702074338198e81a46c3e309d9b04f">convolution1x3</a>((<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> + 0 * DILATION_Y * src_stride_y), mat0, mat1, mat2);</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  pixels += <a class="code" href="convolution3x3_8cl.xhtml#a92702074338198e81a46c3e309d9b04f">convolution1x3</a>((<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> + 1 * DILATION_Y * src_stride_y), mat3, mat4, mat5);</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  pixels += <a class="code" href="convolution3x3_8cl.xhtml#a92702074338198e81a46c3e309d9b04f">convolution1x3</a>((<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> + 2 * DILATION_Y * src_stride_y), mat6, mat7, mat8);</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>  <span class="keywordflow">return</span> pixels;</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> }</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span> </div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> __kernel <span class="keywordtype">void</span> depthwise_convolution_3x3(</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l00335"></a><span class="lineno"> 335</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>)</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span> #<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  ,</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span> #endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> )</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span> {</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>);</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>);</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span> </div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  float2 pixels = 0.0f;</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span> </div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="comment">// Extract channel and linearized batch indices</span></div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> channel = get_global_id(2) % DST_CHANNELS;</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> batch = get_global_id(2) / DST_CHANNELS;</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="comment">// Load relevant input and weights data (Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> </div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  __global uchar *weights_addr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z;</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> </div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  __global uchar *src_addr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr - batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z - (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z;</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> </div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="comment">// Load the weights</span></div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  float3 weights_values0 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 0 * weights_stride_y));</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  float3 weights_values1 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 1 * weights_stride_y));</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  float3 weights_values2 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 2 * weights_stride_y));</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span> </div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  pixels = <a class="code" href="convolution3x3_8cl.xhtml#afc5fefe72e66f0ae5191fd5b708fade9">convolution3x3</a>(src_addr, src_stride_y,</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  weights_values0.s0, weights_values0.s1, weights_values0.s2,</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  weights_values1.s0, weights_values1.s1, weights_values1.s2,</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  weights_values2.s0, weights_values2.s1, weights_values2.s2);</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span> <span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span> </div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> = *((__global <span class="keywordtype">float</span> *)(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&biases, channel)));</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span> </div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  pixels += (float2)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> <span class="preprocessor">#endif //defined(HAS_BIAS)</span></div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> </div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  vstore2(<a class="code" href="activation__float__helpers_8h.xhtml#abbc420da5dec17216bb014c05ad65304">ACTIVATION</a>(ACTIVATION_TYPE, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, pixels, A_VAL, B_VAL), 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr);</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span> }</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> <span class="preprocessor">#endif //defined(CONV_STRIDE_X)</span></div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span> </div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span> <span class="preprocessor">#if(DILATION_X > 1 || DILATION_Y > 1)</span></div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span> </div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> <span class="keyword">inline</span> float2 convolution_3x3_dilation_stridex1_stridey1_bifrost_f32(__global uchar *src_addr, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_x_bytes, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_y_bytes,</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> y_offset, __global uchar *weights_addr, <span class="keyword">const</span> <span class="keywordtype">int</span> weights_stride_y)</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span> {</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="comment">// Load the weights</span></div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  float3 weights_row0 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 0 * weights_stride_y));</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  float3 weights_row1 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 1 * weights_stride_y));</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  float3 weights_row2 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 2 * weights_stride_y));</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> </div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  float2 pixels0 = 0.0f;</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> </div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  float2 src00_left = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row0</span></div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  float2 src00_mid = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  float2 src00_right = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span> </div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  float2 src10_left = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row1</span></div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  float2 src10_mid = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  float2 src10_right = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span> </div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  float2 src20_left = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row2</span></div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  float2 src20_mid = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  float2 src20_right = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span> </div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels0, src00_left, src00_mid, src00_right, weights_row0);</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels0, src10_left, src10_mid, src10_right, weights_row1);</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels0, src20_left, src20_mid, src20_right, weights_row2);</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span> </div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keywordflow">return</span> pixels0;</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span> }</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span> </div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span> <span class="keyword">inline</span> float2 convolution_3x3_dilation_stridex2_stridey2_bifrost_f32(__global uchar *src_addr, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_x_bytes, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_y_bytes,</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> y_offset, __global uchar *weights_addr, <span class="keyword">const</span> <span class="keywordtype">int</span> weights_stride_y)</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span> {</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="comment">// Load the weights</span></div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  float3 weights_row0 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 0 * weights_stride_y));</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  float3 weights_row1 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 1 * weights_stride_y));</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  float3 weights_row2 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 2 * weights_stride_y));</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span> </div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  float2 pixels0 = 0.0f;</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span> </div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  float3 src00_left = vload3(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row0</span></div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  float3 src00_mid = vload3(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  float3 src00_right = vload3(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span> </div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  float3 src10_left = vload3(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row1</span></div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  float3 src10_mid = vload3(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  float3 src10_right = vload3(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span> </div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  float3 src20_left = vload3(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row2</span></div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  float3 src20_mid = vload3(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  float3 src20_right = vload3(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span> </div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44">CONVOLUTION1x3_BIFROST2X1_STRIDE2</a>(pixels0, src00_left, src00_mid, src00_right, weights_row0);</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44">CONVOLUTION1x3_BIFROST2X1_STRIDE2</a>(pixels0, src10_left, src10_mid, src10_right, weights_row1);</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44">CONVOLUTION1x3_BIFROST2X1_STRIDE2</a>(pixels0, src20_left, src20_mid, src20_right, weights_row2);</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span> </div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="keywordflow">return</span> pixels0;</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span> }</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span> </div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span> <span class="preprocessor">#endif </span><span class="comment">/* (DILATION_X > 1 || DILATION_Y > 1) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span> </div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span> __kernel <span class="keywordtype">void</span> depthwise_convolution_3x3_stridex1_stridey1_bifrost_f32(</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l00498"></a><span class="lineno"> 498</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>)</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span> #<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  ,</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span> #endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span> )</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span> {</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>);</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>);</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span> </div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  float2 pixels0 = 0.0f;</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  float2 pixels1 = 0.0f;</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  float2 pixels2 = 0.0f;</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  float2 pixels3 = 0.0f;</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span> </div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="comment">// Extract channel and linearized batch indices</span></div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> channel = get_global_id(2) % DST_CHANNELS;</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> batch = get_global_id(2) / DST_CHANNELS;</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="comment">// Load relevant input and weights data (Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  __global uchar *weights_addr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z;</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  __global uchar *src_addr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr - batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z - (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z;</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span> </div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <span class="comment">// Load the weights</span></div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  float3 weights_row0 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 0 * weights_stride_y));</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  float3 weights_row1 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 1 * weights_stride_y));</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  float3 weights_row2 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 2 * weights_stride_y));</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span> </div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="comment">// Note: Since each work-item computes 4x2 elements, we need to load 6 rows from the input tensor</span></div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  float4 src00 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 0 * src_stride_y)); <span class="comment">// Row0</span></div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  float4 src10 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 1 * src_stride_y)); <span class="comment">// Row1</span></div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  float4 src20 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 2 * src_stride_y)); <span class="comment">// Row2</span></div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  float4 src30 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 3 * src_stride_y)); <span class="comment">// Row3</span></div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  float4 src40 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 4 * src_stride_y)); <span class="comment">// Row4</span></div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  float4 src50 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 5 * src_stride_y)); <span class="comment">// Row5</span></div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span> </div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels0, src00, weights_row0);</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels0, src10, weights_row1);</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels0, src20, weights_row2);</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels1, src10, weights_row0);</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels1, src20, weights_row1);</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels1, src30, weights_row2);</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels2, src20, weights_row0);</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels2, src30, weights_row1);</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels2, src40, weights_row2);</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels3, src30, weights_row0);</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels3, src40, weights_row1);</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels3, src50, weights_row2);</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span> </div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span> </div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="comment">//3x3 Convolution of elements starting in 0th row</span></div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  pixels0 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f32(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 0, weights_addr, weights_stride_y);</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="comment">//3x3 Convolution of elements starting in 1st row</span></div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  pixels1 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f32(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 1, weights_addr, weights_stride_y);</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <span class="comment">//3x3 Convolution of elements starting in 2nd row</span></div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  pixels2 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f32(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 2, weights_addr, weights_stride_y);</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="comment">//3x3 Convolution of elements starting in 3rd row</span></div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  pixels3 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f32(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 3, weights_addr, weights_stride_y);</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span> </div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span> <span class="preprocessor">#endif </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span> </div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span> <span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span> </div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> = *((__global <span class="keywordtype">float</span> *)(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&biases, channel)));</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span> </div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  pixels0 += (float2)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  pixels1 += (float2)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  pixels2 += (float2)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  pixels3 += (float2)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span> </div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  vstore2(<a class="code" href="activation__float__helpers_8h.xhtml#abbc420da5dec17216bb014c05ad65304">ACTIVATION</a>(ACTIVATION_TYPE, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, pixels0, A_VAL, B_VAL), 0, (__global <span class="keywordtype">float</span> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 0 * dst_stride_y));</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  vstore2(<a class="code" href="activation__float__helpers_8h.xhtml#abbc420da5dec17216bb014c05ad65304">ACTIVATION</a>(ACTIVATION_TYPE, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, pixels1, A_VAL, B_VAL), 0, (__global <span class="keywordtype">float</span> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 1 * dst_stride_y));</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  vstore2(<a class="code" href="activation__float__helpers_8h.xhtml#abbc420da5dec17216bb014c05ad65304">ACTIVATION</a>(ACTIVATION_TYPE, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, pixels2, A_VAL, B_VAL), 0, (__global <span class="keywordtype">float</span> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 2 * dst_stride_y));</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  vstore2(<a class="code" href="activation__float__helpers_8h.xhtml#abbc420da5dec17216bb014c05ad65304">ACTIVATION</a>(ACTIVATION_TYPE, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, pixels3, A_VAL, B_VAL), 0, (__global <span class="keywordtype">float</span> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 3 * dst_stride_y));</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span> }</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span> </div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span> __kernel <span class="keywordtype">void</span> depthwise_convolution_3x3_stridex2_stridey2_bifrost_f32(</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l00618"></a><span class="lineno"> 618</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>)</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span> #<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  ,</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span> #endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span> )</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span> {</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>);</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>);</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span> </div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  float2 pixels0 = 0.0f;</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  float2 pixels1 = 0.0f;</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span> </div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <span class="comment">// Extract channel and linearized batch indices</span></div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> channel = get_global_id(2) % DST_CHANNELS;</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> batch = get_global_id(2) / DST_CHANNELS;</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  <span class="comment">// Load relevant input and weights data (Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  __global uchar *weights_addr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z;</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  __global uchar *src_addr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr - batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z - (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z;</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span> </div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span> </div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <span class="comment">// Load the weights</span></div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  float3 weights_row0 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 0 * weights_stride_y));</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  float3 weights_row1 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 1 * weights_stride_y));</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  float3 weights_row2 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 2 * weights_stride_y));</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span> </div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  <span class="comment">// Note: Since each work-item computes 4x2 elements, we need to load 5 rows from the input tensor</span></div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  float4 src00 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 0 * src_stride_y)); <span class="comment">// Row0</span></div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  float2 src01 = vload2(2, (__global <span class="keywordtype">float</span> *)(src_addr + 0 * src_stride_y)); <span class="comment">// Row0</span></div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  float4 src10 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 1 * src_stride_y)); <span class="comment">// Row1</span></div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  float2 src11 = vload2(2, (__global <span class="keywordtype">float</span> *)(src_addr + 1 * src_stride_y)); <span class="comment">// Row1</span></div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  float4 src20 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 2 * src_stride_y)); <span class="comment">// Row2</span></div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  float2 src21 = vload2(2, (__global <span class="keywordtype">float</span> *)(src_addr + 2 * src_stride_y)); <span class="comment">// Row2</span></div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  float4 src30 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 3 * src_stride_y)); <span class="comment">// Row3</span></div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  float2 src31 = vload2(2, (__global <span class="keywordtype">float</span> *)(src_addr + 3 * src_stride_y)); <span class="comment">// Row3</span></div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  float4 src40 = vload4(0, (__global <span class="keywordtype">float</span> *)(src_addr + 4 * src_stride_y)); <span class="comment">// Row4</span></div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  float2 src41 = vload2(2, (__global <span class="keywordtype">float</span> *)(src_addr + 4 * src_stride_y)); <span class="comment">// Row4</span></div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span> </div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44">CONVOLUTION1x3_BIFROST2X1_STRIDE2</a>(pixels0, src00, src01, weights_row0);</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44">CONVOLUTION1x3_BIFROST2X1_STRIDE2</a>(pixels0, src10, src11, weights_row1);</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44">CONVOLUTION1x3_BIFROST2X1_STRIDE2</a>(pixels0, src20, src21, weights_row2);</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44">CONVOLUTION1x3_BIFROST2X1_STRIDE2</a>(pixels1, src20, src21, weights_row0);</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44">CONVOLUTION1x3_BIFROST2X1_STRIDE2</a>(pixels1, src30, src31, weights_row1);</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44">CONVOLUTION1x3_BIFROST2X1_STRIDE2</a>(pixels1, src40, src41, weights_row2);</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span> </div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span> </div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <span class="comment">//3x3 Convolution of elements starting in 0th row</span></div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  pixels0 = convolution_3x3_dilation_stridex2_stridey2_bifrost_f32(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 0, weights_addr, weights_stride_y);</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <span class="comment">//3x3 Convolution of elements starting in 2nd row</span></div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  pixels1 = convolution_3x3_dilation_stridex2_stridey2_bifrost_f32(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 2, weights_addr, weights_stride_y);</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span> <span class="preprocessor">#endif </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span> </div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span> <span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span> </div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> = *((__global <span class="keywordtype">float</span> *)(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&biases, channel)));</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span> </div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  pixels0 += (float2)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  pixels1 += (float2)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span> </div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  vstore2(<a class="code" href="activation__float__helpers_8h.xhtml#abbc420da5dec17216bb014c05ad65304">ACTIVATION</a>(ACTIVATION_TYPE, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, pixels0, A_VAL, B_VAL), 0, (__global <span class="keywordtype">float</span> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 0 * dst_stride_y));</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  vstore2(<a class="code" href="activation__float__helpers_8h.xhtml#abbc420da5dec17216bb014c05ad65304">ACTIVATION</a>(ACTIVATION_TYPE, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, pixels1, A_VAL, B_VAL), 0, (__global <span class="keywordtype">float</span> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 1 * dst_stride_y));</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span> }</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span> </div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span> <span class="preprocessor">#endif // defined(DEPTH_MULTIPLIER) && defined(DST_CHANNELS) && defined(IS_F32)</span></div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span> </div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span> <span class="preprocessor">#if defined(VEC_SIZE) && defined(DATA_TYPE) && defined(DST_WIDTH)</span></div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span> </div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span> __kernel <span class="keywordtype">void</span> depthwise_convolution_reshape_weights(</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>))</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span> {</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  <a class="code" href="struct_vector.xhtml">Vector</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>);</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> x = get_global_id(0);</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span> </div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  <span class="comment">// Load 3x3xVEC_SIZE weights</span></div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE)</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  w0 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr + 0 * src_stride_y + 0 * src_stride_z);</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE)</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  w1 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr + 1 * src_stride_y + 0 * src_stride_z);</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE)</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  w2 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr + 2 * src_stride_y + 0 * src_stride_z);</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE)</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  w3 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr + 0 * src_stride_y + 1 * src_stride_z);</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE)</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  w4 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr + 1 * src_stride_y + 1 * src_stride_z);</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE)</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  w5 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr + 2 * src_stride_y + 1 * src_stride_z);</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE)</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  w6 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr + 0 * src_stride_y + 2 * src_stride_z);</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE)</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  w7 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr + 1 * src_stride_y + 2 * src_stride_z);</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE)</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  w8 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr + 2 * src_stride_y + 2 * src_stride_z);</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span> </div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * DST_WIDTH * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>);</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span> </div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span> <span class="preprocessor">#if defined(TRANSPOSE)</span></div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span> <span class="preprocessor">#if VEC_SIZE != 4</span></div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span> <span class="preprocessor">#error "VEC_SIZE not supported"</span></div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span> <span class="preprocessor">#else // VEC_SIZE != 4</span></div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  ((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))(w0.s0, w1.s0, w2.s0, w3.s0), 0, dst_addr + 0);</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  ((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))(w4.s0, w5.s0, w6.s0, w7.s0), 0, dst_addr + 1 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  ((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))(w8.s0, w0.s1, w1.s1, w2.s1), 0, dst_addr + 2 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  ((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))(w3.s1, w4.s1, w5.s1, w6.s1), 0, dst_addr + 3 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  ((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))(w7.s1, w8.s1, w0.s2, w1.s2), 0, dst_addr + 4 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  ((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))(w2.s2, w3.s2, w4.s2, w5.s2), 0, dst_addr + 5 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  ((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))(w6.s2, w7.s2, w8.s2, w0.s3), 0, dst_addr + 6 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  ((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))(w1.s3, w2.s3, w3.s3, w4.s3), 0, dst_addr + 7 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  ((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))(w5.s3, w6.s3, w7.s3, w8.s3), 0, dst_addr + 8 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span> <span class="preprocessor">#endif // VEC_SIZE != 4</span></div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span> <span class="preprocessor">#else // !defined(TRANSPOSE)</span></div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  (w0, 0, dst_addr + 0);</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  (w1, 0, dst_addr + 1 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  (w2, 0, dst_addr + 2 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  (w3, 0, dst_addr + 3 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  (w4, 0, dst_addr + 4 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  (w5, 0, dst_addr + 5 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  (w6, 0, dst_addr + 6 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  (w7, 0, dst_addr + 7 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  (w8, 0, dst_addr + 8 * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE);</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span> <span class="preprocessor">#endif // defined(TRANSPOSE)</span></div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span> }</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span> <span class="preprocessor">#endif // defined(VEC_SIZE) && defined(DATA_TYPE) && defined(DST_WIDTH)</span></div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span> </div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span> <span class="preprocessor">#if defined(NCHW)</span></div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span> <span class="preprocessor">#define in_stride_x src_stride_x</span></div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span> <span class="preprocessor">#define in_stride_y src_stride_y</span></div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span> <span class="preprocessor">#define in_stride_z src_stride_z</span></div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span> <span class="preprocessor">#define out_stride_x dst_stride_x</span></div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span> <span class="preprocessor">#define out_stride_y dst_stride_y</span></div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span> <span class="preprocessor">#define out_stride_z dst_stride_z</span></div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span> <span class="preprocessor">#else //defined(NCHW)</span></div><div class="line"><a name="l00794"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#a5447e2c4e1aae8fff9290b775fe813ff"> 794</a></span> <span class="preprocessor">#define in_stride_x src_stride_y</span></div><div class="line"><a name="l00795"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#ac353c0687abd8c71a4fa096d322b39ec"> 795</a></span> <span class="preprocessor">#define in_stride_y src_stride_z</span></div><div class="line"><a name="l00796"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#a32137dd220c1110408a7b498108de2c5"> 796</a></span> <span class="preprocessor">#define in_stride_z src_stride_x</span></div><div class="line"><a name="l00797"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#a68fce1f0ee4080ed89c9427496d625f2"> 797</a></span> <span class="preprocessor">#define out_stride_x dst_stride_y</span></div><div class="line"><a name="l00798"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#ac8b6b732372937bba276e6391944d1e1"> 798</a></span> <span class="preprocessor">#define out_stride_y dst_stride_z</span></div><div class="line"><a name="l00799"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#a128f47cb6aacde29e07fde2c4b9f5dd2"> 799</a></span> <span class="preprocessor">#define out_stride_z dst_stride_x</span></div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span> <span class="preprocessor">#endif //defined(NCHW)</span></div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span> </div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span> <span class="preprocessor">#if defined(SRC_WIDTH) && defined(DATA_TYPE)</span></div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span> </div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span> __kernel <span class="keywordtype">void</span> depthwise_convolution_reshape_weights_generic(</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>)</div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span> #ifdef HAS_BIAS</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  ,</div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span> #endif <span class="comment">/* HAS_BIAS */</span></div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span> )</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span> {</div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span> <span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span> <span class="preprocessor">#endif </span><span class="comment">/* HAS_BIAS */</span><span class="preprocessor"></span></div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span> </div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + get_global_id(1) * <a class="code" href="depthwise__convolution_8cl.xhtml#ac353c0687abd8c71a4fa096d322b39ec">in_stride_y</a> + get_global_id(2) * <a class="code" href="depthwise__convolution_8cl.xhtml#a32137dd220c1110408a7b498108de2c5">in_stride_z</a>;</div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + get_global_id(1) * SRC_WIDTH * dst_stride_x + get_global_id(2) * dst_stride_y;</div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span> </div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i < SRC_WIDTH; ++i, input_ptr += <a class="code" href="depthwise__convolution_8cl.xhtml#a5447e2c4e1aae8fff9290b775fe813ff">in_stride_x</a>)</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  {</div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(output_ptr + i * dst_stride_x)) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)input_ptr);</div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  }</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span> </div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span> <span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  <span class="keywordflow">if</span>(get_global_id(1) == 0)</div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  {</div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(output_ptr + SRC_WIDTH * get_global_size(1) * dst_stride_x)) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(biases.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + get_global_id(2) * biases_stride_x));</div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  }</div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span> <span class="preprocessor">#endif // defined(HAS_BIAS)</span></div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span> }</div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span> <span class="preprocessor">#endif //defined(SRC_WIDTH) && defined(DATA_TYPE)</span></div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span> </div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span> <span class="preprocessor">#if defined(STRIDE_X) && defined(STRIDE_Y) && defined(PAD_LEFT) && defined(PAD_TOP) && defined(PAD_RIGHT) && defined(PAD_BOTTOM) && defined(KERNEL_WIDTH) && defined(KERNEL_HEIGHT) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(DATA_TYPE) && defined(PAD_VALUE) && defined(DEPTH_MULTIPLIER) && defined(DILATION_X) && defined(DILATION_Y)</span></div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span> </div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span> __kernel <span class="keywordtype">void</span> depthwise_im2col(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>), <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l00881"></a><span class="lineno"> 881</span> {</div><div class="line"><a name="l00882"></a><span class="lineno"> 882</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="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</div><div class="line"><a name="l00883"></a><span class="lineno"> 883</span> </div><div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> src_pixel_linear = get_global_id(1) * STRIDE_X;</div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> full_length = SRC_WIDTH + PAD_LEFT + PAD_RIGHT;</div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> max_initial_x = STRIDE_X * (((full_length - (KERNEL_WIDTH + (KERNEL_WIDTH - 1) * (DILATION_X - 1))) / STRIDE_X) + 1);</div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span> </div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> src_x = -PAD_LEFT + src_pixel_linear % max_initial_x;</div><div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> src_y = -PAD_TOP + src_pixel_linear / max_initial_x * STRIDE_Y;</div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> src_z = get_global_id(2) / DEPTH_MULTIPLIER;</div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span> </div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + src_z * <a class="code" href="depthwise__convolution_8cl.xhtml#a32137dd220c1110408a7b498108de2c5">in_stride_z</a>;</div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  __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> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr));</div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span> </div><div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = src_y; y < src_y + KERNEL_HEIGHT + (KERNEL_HEIGHT - 1) * (DILATION_Y - 1); y += DILATION_Y)</div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  {</div><div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = src_x; x < src_x + KERNEL_WIDTH + (KERNEL_WIDTH - 1) * (DILATION_X - 1); x += DILATION_X, ++output_ptr)</div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  {</div><div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  <span class="keywordflow">if</span>(x < 0 || x >= SRC_WIDTH || y < 0 || y >= SRC_HEIGHT)</div><div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  {</div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  *output_ptr = PAD_VALUE;</div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  }</div><div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  {</div><div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  *output_ptr = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(input_ptr + x * <a class="code" href="depthwise__convolution_8cl.xhtml#a5447e2c4e1aae8fff9290b775fe813ff">in_stride_x</a> + y * <a class="code" href="depthwise__convolution_8cl.xhtml#ac353c0687abd8c71a4fa096d322b39ec">in_stride_y</a>));</div><div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  }</div><div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  }</div><div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  }</div><div class="line"><a name="l00909"></a><span class="lineno"> 909</span> <span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  *output_ptr = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)(1);</div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span> <span class="preprocessor">#endif // defined(HAS_BIAS)</span></div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span> }</div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span> </div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span> <span class="preprocessor">#endif //defined(STRIDE_X) && defined(STRIDE_Y) && defined(PAD_LEFT) && defined(PAD_TOP) && defined(PAD_RIGHT) && defined(PAD_BOTTOM) && defined(KERNEL_WIDTH) && defined(KERNEL_HEIGHT) && defined(SRC_WIDTH) && defined(DATA_TYPE) && defined(PAD_VALUE) && defined(DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span> </div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span> <span class="preprocessor">#if defined(CONV_WIDTH) && defined(CONV_HEIGHT) && defined(DATA_TYPE)</span></div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span> </div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span> __kernel <span class="keywordtype">void</span> depthwise_vector_to_tensor(</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l00939"></a><span class="lineno"> 939</span> {</div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  <a class="code" href="struct_vector.xhtml">Vector</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>);</div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span> </div><div class="line"><a name="l00942"></a><span class="lineno"> 942</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> patch_size = CONV_WIDTH * CONV_HEIGHT;</div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> id0 = get_global_id(0);</div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> z = id0 / patch_size;</div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> index2D = id0 - z * patch_size;</div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span> </div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span>  __global uchar *out_ptr = dst_ptr + dst_offset_first_element_in_bytes + index2D % CONV_WIDTH * <a class="code" href="depthwise__convolution_8cl.xhtml#a68fce1f0ee4080ed89c9427496d625f2">out_stride_x</a> + index2D / CONV_WIDTH * <a class="code" href="depthwise__convolution_8cl.xhtml#ac8b6b732372937bba276e6391944d1e1">out_stride_y</a> + z * <a class="code" href="depthwise__convolution_8cl.xhtml#a128f47cb6aacde29e07fde2c4b9f5dd2">out_stride_z</a>;</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span>  *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)out_ptr) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr);</div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span> }</div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span> </div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span> <span class="preprocessor">#endif //defined(CONV_WIDTH) && defined(CONV_HEIGHT) && defined(DATA_TYPE)</span></div><div class="line"><a name="l00952"></a><span class="lineno"> 952</span> </div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span> <span class="preprocessor">#if defined(ARM_COMPUTE_OPENCL_FP16_ENABLED) && defined(DEPTH_MULTIPLIER) && defined(DST_CHANNELS) && defined(IS_F16)</span></div><div class="line"><a name="l00954"></a><span class="lineno"> 954</span> <span class="preprocessor">#if defined(CONV_STRIDE_X)</span></div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span> <span class="preprocessor">#if CONV_STRIDE_X == 1</span></div><div class="line"><a name="l00956"></a><span class="lineno"> 956</span> <span class="preprocessor">#define convolution1x3_f16 convolution1x3_stride_1_f16</span></div><div class="line"><a name="l00957"></a><span class="lineno"> 957</span> <span class="preprocessor">#elif CONV_STRIDE_X == 2</span></div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span> <span class="preprocessor">#define convolution1x3_f16 convolution1x3_stride_2_f16</span></div><div class="line"><a name="l00959"></a><span class="lineno"> 959</span> <span class="preprocessor">#elif CONV_STRIDE_X == 3</span></div><div class="line"><a name="l00960"></a><span class="lineno"> 960</span> <span class="preprocessor">#define convolution1x3_f16 convolution1x3_stride_3_f16</span></div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span> <span class="preprocessor">#else </span><span class="comment">/* CONV_STRIDE_X */</span><span class="preprocessor"></span></div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span> <span class="preprocessor">#error "Stride not supported"</span></div><div class="line"><a name="l00963"></a><span class="lineno"> 963</span> <span class="preprocessor">#endif </span><span class="comment">/* CONV_STRIDE_X */</span><span class="preprocessor"></span></div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span> </div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span> <span class="preprocessor">#if(DILATION_X > 1 || DILATION_Y > 1)</span></div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span> </div><div class="line"><a name="l00976"></a><span class="lineno"> 976</span> <span class="keyword">inline</span> half4 convolution_3x3_dilation_stridex1_stridey1_bifrost_f16(__global uchar *src_addr, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_x_bytes, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_y_bytes,</div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> y_offset, __global uchar *weights_addr, <span class="keyword">const</span> <span class="keywordtype">int</span> weights_stride_y)</div><div class="line"><a name="l00978"></a><span class="lineno"> 978</span> {</div><div class="line"><a name="l00979"></a><span class="lineno"> 979</span>  <span class="comment">// Load the weights</span></div><div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  half3 weights_row0 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 0 * weights_stride_y));</div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  half3 weights_row1 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 1 * weights_stride_y));</div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  half3 weights_row2 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 2 * weights_stride_y));</div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span> </div><div class="line"><a name="l00984"></a><span class="lineno"> 984</span>  half4 pixels0 = 0.0f;</div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span> </div><div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  half4 src00_left = vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row0</span></div><div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  half4 src00_mid = vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00988"></a><span class="lineno"> 988</span>  half4 src00_right = vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00989"></a><span class="lineno"> 989</span> </div><div class="line"><a name="l00990"></a><span class="lineno"> 990</span>  half4 src10_left = vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row1</span></div><div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  half4 src10_mid = vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00992"></a><span class="lineno"> 992</span>  half4 src10_right = vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00993"></a><span class="lineno"> 993</span> </div><div class="line"><a name="l00994"></a><span class="lineno"> 994</span>  half4 src20_left = vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row2</span></div><div class="line"><a name="l00995"></a><span class="lineno"> 995</span>  half4 src20_mid = vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00996"></a><span class="lineno"> 996</span>  half4 src20_right = vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l00997"></a><span class="lineno"> 997</span> </div><div class="line"><a name="l00998"></a><span class="lineno"> 998</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels0, src00_left, src00_mid, src00_right, weights_row0);</div><div class="line"><a name="l00999"></a><span class="lineno"> 999</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels0, src10_left, src10_mid, src10_right, weights_row1);</div><div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels0, src20_left, src20_mid, src20_right, weights_row2);</div><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span> </div><div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  <span class="keywordflow">return</span> pixels0;</div><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span> }</div><div class="line"><a name="l01004"></a><span class="lineno"> 1004</span> </div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span> <span class="keyword">inline</span> half4 convolution_3x3_dilation_stridex2_stridey2_bifrost_f16(__global uchar *src_addr, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_x_bytes, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_y_bytes,</div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> y_offset, __global uchar *weights_addr, <span class="keyword">const</span> <span class="keywordtype">int</span> weights_stride_y)</div><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span> {</div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  <span class="comment">// Load the weights</span></div><div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>  half3 weights_row0 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 0 * weights_stride_y));</div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  half3 weights_row1 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 1 * weights_stride_y));</div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  half3 weights_row2 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 2 * weights_stride_y));</div><div class="line"><a name="l01021"></a><span class="lineno"> 1021</span> </div><div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>  half4 pixels0 = 0.0f;</div><div class="line"><a name="l01023"></a><span class="lineno"> 1023</span> </div><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  half8 src00_left = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row0</span></div><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  half8 src00_mid = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  half8 src00_right = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span> </div><div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  half8 src10_left = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row1</span></div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  half8 src10_mid = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  half8 src10_right = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset + DILATION_Y, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span> </div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  half8 src20_left = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 0, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes)); <span class="comment">// Row2</span></div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  half8 src20_mid = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  half8 src20_right = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a>(src_addr, 2 * DILATION_X, y_offset + DILATION_Y * 2, stride_x_bytes, stride_y_bytes));</div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span> </div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc">CONVOLUTION1x3_BIFROST4X1_STRIDE2</a>(pixels0, src00_left, src00_mid, src00_right, weights_row0);</div><div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc">CONVOLUTION1x3_BIFROST4X1_STRIDE2</a>(pixels0, src10_left, src10_mid, src10_right, weights_row1);</div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc">CONVOLUTION1x3_BIFROST4X1_STRIDE2</a>(pixels0, src20_left, src20_mid, src20_right, weights_row2);</div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span> </div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>  <span class="keywordflow">return</span> pixels0;</div><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span> }</div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span> </div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span> <span class="preprocessor">#endif // (DILATION_X > 1 && DILATION_Y > 1)</span></div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span> </div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span> <span class="keyword">inline</span> half4 convolution1x3_stride_1_f16(__global <span class="keyword">const</span> uchar *left_pixel,</div><div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> left_coeff,</div><div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> middle_coeff,</div><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> right_coeff)</div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span> {</div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span> </div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>  half8 temp = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)left_pixel);</div><div class="line"><a name="l01062"></a><span class="lineno"> 1062</span> </div><div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>  half4 left = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s0123, half4);</div><div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>  half4 middle = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s1234, half4);</div><div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>  half4 right = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s2345, half4);</div><div class="line"><a name="l01066"></a><span class="lineno"> 1066</span> </div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  <span class="keywordflow">return</span> left * (half4)left_coeff + middle * (half4)middle_coeff + right * (half4)right_coeff;</div><div class="line"><a name="l01068"></a><span class="lineno"> 1068</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>  <span class="keywordflow">return</span> vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)left_pixel) * (half4)left_coeff</div><div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>  + vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(left_pixel) + DILATION_X) * (half4)middle_coeff</div><div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>  + vload4(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(left_pixel) + 2 * DILATION_X) * (half4)right_coeff;</div><div class="line"><a name="l01072"></a><span class="lineno"> 1072</span> </div><div class="line"><a name="l01073"></a><span class="lineno"> 1073</span> <span class="preprocessor">#endif </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l01074"></a><span class="lineno"> 1074</span> }</div><div class="line"><a name="l01075"></a><span class="lineno"> 1075</span> </div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span> <span class="keyword">inline</span> half4 convolution1x3_stride_2_f16(__global <span class="keyword">const</span> uchar *left_pixel,</div><div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> left_coeff,</div><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> middle_coeff,</div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> right_coeff)</div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span> {</div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span> </div><div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>  half8 temp0 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)left_pixel);</div><div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>  <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> temp1 = *((__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(left_pixel + 8 * <span class="keyword">sizeof</span>(<a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>)));</div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span> </div><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>  half4 left = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s0246, half4);</div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  half4 middle = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s1357, half4);</div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>  half4 right = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((half4)(temp0.s246, temp1), half4);</div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span> </div><div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>  <span class="keywordflow">return</span> left * (half4)left_coeff + middle * (half4)middle_coeff + right * (half4)right_coeff;</div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span> </div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  __global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *left_pixel_float = (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)left_pixel;</div><div class="line"><a name="l01103"></a><span class="lineno"> 1103</span> </div><div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>  <span class="keywordflow">return</span> (half4)(*left_pixel_float, *(left_pixel_float + 2), *(left_pixel_float + 4), *(left_pixel_float + 6)) * (half4)left_coeff</div><div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>  + (half4)(*(left_pixel_float + DILATION_X), *(left_pixel_float + DILATION_X + 2), *(left_pixel_float + DILATION_X + 4), *(left_pixel_float + DILATION_X + 6)) * (half4)middle_coeff</div><div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>  + (half4)(*(left_pixel_float + DILATION_X * 2), *(left_pixel_float + DILATION_X * 2 + 2), *(left_pixel_float + DILATION_X * 2 + 4), *(left_pixel_float + DILATION_X * 2 + 6)) * (half4)right_coeff;</div><div class="line"><a name="l01107"></a><span class="lineno"> 1107</span> </div><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span> <span class="preprocessor">#endif </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l01109"></a><span class="lineno"> 1109</span> }</div><div class="line"><a name="l01110"></a><span class="lineno"> 1110</span> </div><div class="line"><a name="l01120"></a><span class="lineno"> 1120</span> <span class="keyword">inline</span> half4 convolution1x3_stride_3_f16(__global <span class="keyword">const</span> uchar *left_pixel,</div><div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> left_coeff,</div><div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> middle_coeff,</div><div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> right_coeff)</div><div class="line"><a name="l01124"></a><span class="lineno"> 1124</span> {</div><div class="line"><a name="l01125"></a><span class="lineno"> 1125</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l01126"></a><span class="lineno"> 1126</span> </div><div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>  half16 temp0 = vload16(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)left_pixel);</div><div class="line"><a name="l01128"></a><span class="lineno"> 1128</span> </div><div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>  half4 left = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s0369, half4);</div><div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>  half4 middle = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s147A, half4);</div><div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>  half4 right = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s258B, half4);</div><div class="line"><a name="l01132"></a><span class="lineno"> 1132</span> </div><div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>  <span class="keywordflow">return</span> left * (half4)left_coeff + middle * (half4)middle_coeff + right * (half4)right_coeff;</div><div class="line"><a name="l01134"></a><span class="lineno"> 1134</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l01135"></a><span class="lineno"> 1135</span> </div><div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>  __global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *left_pixel_float = (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)left_pixel;</div><div class="line"><a name="l01137"></a><span class="lineno"> 1137</span> </div><div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  <span class="keywordflow">return</span> (half4)(*left_pixel_float, *(left_pixel_float + 3), *(left_pixel_float + 6), *(left_pixel_float + 9)) * (half4)left_coeff</div><div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>  + (half4)(*(left_pixel_float + DILATION_X), *(left_pixel_float + DILATION_X + 3), *(left_pixel_float + DILATION_X + 6), *(left_pixel_float + DILATION_X + 9)) * (half4)middle_coeff</div><div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>  + (half4)(*(left_pixel_float + DILATION_X * 2), *(left_pixel_float + DILATION_X * 2 + 3), *(left_pixel_float + DILATION_X * 2 + 6), *(left_pixel_float + DILATION_X * 2 + 9)) * (half4)right_coeff;</div><div class="line"><a name="l01141"></a><span class="lineno"> 1141</span> </div><div class="line"><a name="l01142"></a><span class="lineno"> 1142</span> <span class="preprocessor">#endif </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l01143"></a><span class="lineno"> 1143</span> }</div><div class="line"><a name="l01144"></a><span class="lineno"> 1144</span> </div><div class="line"><a name="l01167"></a><span class="lineno"> 1167</span> <span class="keyword">inline</span> half4 convolution3x3_f16(</div><div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>  <a class="code" href="struct_image.xhtml">Image</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>,</div><div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat0, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat1, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat2,</div><div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat3, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat4, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat5,</div><div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat6, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat7, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat8)</div><div class="line"><a name="l01172"></a><span class="lineno"> 1172</span> {</div><div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>  half4 pixels;</div><div class="line"><a name="l01174"></a><span class="lineno"> 1174</span> </div><div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>  pixels = convolution1x3_f16(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, 0, 0), mat0, mat1, mat2);</div><div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>  pixels += convolution1x3_f16(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, 0, DILATION_Y), mat3, mat4, mat5);</div><div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>  pixels += convolution1x3_f16(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, 0, DILATION_Y * 2), mat6, mat7, mat8);</div><div class="line"><a name="l01178"></a><span class="lineno"> 1178</span> </div><div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>  <span class="keywordflow">return</span> pixels;</div><div class="line"><a name="l01180"></a><span class="lineno"> 1180</span> }</div><div class="line"><a name="l01181"></a><span class="lineno"> 1181</span> </div><div class="line"><a name="l01182"></a><span class="lineno"> 1182</span> <span class="preprocessor">#if defined(DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l01183"></a><span class="lineno"> 1183</span> </div><div class="line"><a name="l01220"></a><span class="lineno"> 1220</span> __kernel <span class="keywordtype">void</span> depthwise_convolution_3x3_f16(</div><div class="line"><a name="l01221"></a><span class="lineno"> 1221</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l01222"></a><span class="lineno"> 1222</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l01223"></a><span class="lineno"> 1223</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>)</div><div class="line"><a name="l01224"></a><span class="lineno"> 1224</span> #<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l01225"></a><span class="lineno"> 1225</span>  ,</div><div class="line"><a name="l01226"></a><span class="lineno"> 1226</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l01227"></a><span class="lineno"> 1227</span> #endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l01228"></a><span class="lineno"> 1228</span> )</div><div class="line"><a name="l01229"></a><span class="lineno"> 1229</span> {</div><div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>);</div><div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</div><div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>);</div><div class="line"><a name="l01233"></a><span class="lineno"> 1233</span> <span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>  <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l01235"></a><span class="lineno"> 1235</span> <span class="preprocessor">#endif //defined(HAS_BIAS)</span></div><div class="line"><a name="l01236"></a><span class="lineno"> 1236</span> </div><div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>  <span class="comment">// Extract channel and linearized batch indices</span></div><div class="line"><a name="l01238"></a><span class="lineno"> 1238</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> channel = get_global_id(2) % DST_CHANNELS;</div><div class="line"><a name="l01239"></a><span class="lineno"> 1239</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> batch = get_global_id(2) / DST_CHANNELS;</div><div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>  <span class="comment">// Load relevant input and weights data (Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l01241"></a><span class="lineno"> 1241</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr -= batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z + (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z;</div><div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>  __global uchar *weights_addr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z;</div><div class="line"><a name="l01243"></a><span class="lineno"> 1243</span> </div><div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>  uchar3 <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (uchar3)(0, 1, 2) * (uchar3)weights_stride_y;</div><div class="line"><a name="l01245"></a><span class="lineno"> 1245</span>  half3 weights_values0 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s0));</div><div class="line"><a name="l01246"></a><span class="lineno"> 1246</span>  half3 weights_values1 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s1));</div><div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>  half3 weights_values2 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s2));</div><div class="line"><a name="l01248"></a><span class="lineno"> 1248</span> </div><div class="line"><a name="l01249"></a><span class="lineno"> 1249</span>  half4 pixels = convolution3x3_f16(&<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, weights_values0.s0, weights_values0.s1, weights_values0.s2,</div><div class="line"><a name="l01250"></a><span class="lineno"> 1250</span>  weights_values1.s0, weights_values1.s1, weights_values1.s2,</div><div class="line"><a name="l01251"></a><span class="lineno"> 1251</span>  weights_values2.s0, weights_values2.s1, weights_values2.s2);</div><div class="line"><a name="l01252"></a><span class="lineno"> 1252</span> <span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>  pixels += (half4)(*((__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(biases.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + channel * biases_stride_x)));</div><div class="line"><a name="l01254"></a><span class="lineno"> 1254</span> <span class="preprocessor">#endif //defined(HAS_BIAS)</span></div><div class="line"><a name="l01255"></a><span class="lineno"> 1255</span> </div><div class="line"><a name="l01256"></a><span class="lineno"> 1256</span>  vstore4(<a class="code" href="activation__float__helpers_8h.xhtml#abbc420da5dec17216bb014c05ad65304">ACTIVATION</a>(ACTIVATION_TYPE, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, pixels, A_VAL, B_VAL), 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr);</div><div class="line"><a name="l01257"></a><span class="lineno"> 1257</span> }</div><div class="line"><a name="l01258"></a><span class="lineno"> 1258</span> <span class="preprocessor">#endif // defined(DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l01259"></a><span class="lineno"> 1259</span> <span class="preprocessor">#endif // defined(CONV_STRIDE_X)</span></div><div class="line"><a name="l01260"></a><span class="lineno"> 1260</span> </div><div class="line"><a name="l01298"></a><span class="lineno"> 1298</span> __kernel <span class="keywordtype">void</span> depthwise_convolution_3x3_stridex1_stridey1_bifrost_f16(</div><div class="line"><a name="l01299"></a><span class="lineno"> 1299</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l01300"></a><span class="lineno"> 1300</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l01301"></a><span class="lineno"> 1301</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>)</div><div class="line"><a name="l01302"></a><span class="lineno"> 1302</span> #<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l01303"></a><span class="lineno"> 1303</span>  ,</div><div class="line"><a name="l01304"></a><span class="lineno"> 1304</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l01305"></a><span class="lineno"> 1305</span> #endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l01306"></a><span class="lineno"> 1306</span> )</div><div class="line"><a name="l01307"></a><span class="lineno"> 1307</span> {</div><div class="line"><a name="l01308"></a><span class="lineno"> 1308</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>);</div><div class="line"><a name="l01309"></a><span class="lineno"> 1309</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</div><div class="line"><a name="l01310"></a><span class="lineno"> 1310</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>);</div><div class="line"><a name="l01311"></a><span class="lineno"> 1311</span> </div><div class="line"><a name="l01312"></a><span class="lineno"> 1312</span>  <span class="comment">// Extract channel and linearized batch indices</span></div><div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> channel = get_global_id(2) % DST_CHANNELS;</div><div class="line"><a name="l01314"></a><span class="lineno"> 1314</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> batch = get_global_id(2) / DST_CHANNELS;</div><div class="line"><a name="l01315"></a><span class="lineno"> 1315</span> </div><div class="line"><a name="l01316"></a><span class="lineno"> 1316</span> <span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l01317"></a><span class="lineno"> 1317</span>  <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l01318"></a><span class="lineno"> 1318</span> </div><div class="line"><a name="l01319"></a><span class="lineno"> 1319</span>  <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> = *((__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&biases, channel)));</div><div class="line"><a name="l01320"></a><span class="lineno"> 1320</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01321"></a><span class="lineno"> 1321</span> </div><div class="line"><a name="l01322"></a><span class="lineno"> 1322</span>  half4 pixels0 = 0.0f;</div><div class="line"><a name="l01323"></a><span class="lineno"> 1323</span>  half4 pixels1 = 0.0f;</div><div class="line"><a name="l01324"></a><span class="lineno"> 1324</span>  half4 pixels2 = 0.0f;</div><div class="line"><a name="l01325"></a><span class="lineno"> 1325</span>  half4 pixels3 = 0.0f;</div><div class="line"><a name="l01326"></a><span class="lineno"> 1326</span> </div><div class="line"><a name="l01327"></a><span class="lineno"> 1327</span>  <span class="comment">// Load relevant input and weights data (Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l01328"></a><span class="lineno"> 1328</span>  __global uchar *weights_addr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z;</div><div class="line"><a name="l01329"></a><span class="lineno"> 1329</span>  __global uchar *src_addr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr - batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z - (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z;</div><div class="line"><a name="l01330"></a><span class="lineno"> 1330</span> </div><div class="line"><a name="l01331"></a><span class="lineno"> 1331</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l01332"></a><span class="lineno"> 1332</span>  <span class="comment">// Load the weights</span></div><div class="line"><a name="l01333"></a><span class="lineno"> 1333</span>  half3 weights_row0 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 0 * weights_stride_y));</div><div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>  half3 weights_row1 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 1 * weights_stride_y));</div><div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>  half3 weights_row2 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 2 * weights_stride_y));</div><div class="line"><a name="l01336"></a><span class="lineno"> 1336</span> </div><div class="line"><a name="l01337"></a><span class="lineno"> 1337</span>  <span class="comment">// Note: Since each work-item computes 4x4 elements, we need to load 6 rows from the input tensor</span></div><div class="line"><a name="l01338"></a><span class="lineno"> 1338</span>  half8 src00 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 0 * src_stride_y)); <span class="comment">// Row0</span></div><div class="line"><a name="l01339"></a><span class="lineno"> 1339</span>  half8 src10 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 1 * src_stride_y)); <span class="comment">// Row1</span></div><div class="line"><a name="l01340"></a><span class="lineno"> 1340</span>  half8 src20 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 2 * src_stride_y)); <span class="comment">// Row2</span></div><div class="line"><a name="l01341"></a><span class="lineno"> 1341</span>  half8 src30 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 3 * src_stride_y)); <span class="comment">// Row3</span></div><div class="line"><a name="l01342"></a><span class="lineno"> 1342</span>  half8 src40 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 4 * src_stride_y)); <span class="comment">// Row4</span></div><div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>  half8 src50 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 5 * src_stride_y)); <span class="comment">// Row5</span></div><div class="line"><a name="l01344"></a><span class="lineno"> 1344</span> </div><div class="line"><a name="l01345"></a><span class="lineno"> 1345</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels0, src00, weights_row0);</div><div class="line"><a name="l01346"></a><span class="lineno"> 1346</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels0, src10, weights_row1);</div><div class="line"><a name="l01347"></a><span class="lineno"> 1347</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels0, src20, weights_row2);</div><div class="line"><a name="l01348"></a><span class="lineno"> 1348</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels1, src10, weights_row0);</div><div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels1, src20, weights_row1);</div><div class="line"><a name="l01350"></a><span class="lineno"> 1350</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels1, src30, weights_row2);</div><div class="line"><a name="l01351"></a><span class="lineno"> 1351</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels2, src20, weights_row0);</div><div class="line"><a name="l01352"></a><span class="lineno"> 1352</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels2, src30, weights_row1);</div><div class="line"><a name="l01353"></a><span class="lineno"> 1353</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels2, src40, weights_row2);</div><div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels3, src30, weights_row0);</div><div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels3, src40, weights_row1);</div><div class="line"><a name="l01356"></a><span class="lineno"> 1356</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a>(pixels3, src50, weights_row2);</div><div class="line"><a name="l01357"></a><span class="lineno"> 1357</span> </div><div class="line"><a name="l01358"></a><span class="lineno"> 1358</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l01359"></a><span class="lineno"> 1359</span> </div><div class="line"><a name="l01360"></a><span class="lineno"> 1360</span>  <span class="comment">//3x3 Convolution of elements starting in 0th row</span></div><div class="line"><a name="l01361"></a><span class="lineno"> 1361</span>  pixels0 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f16(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 0, weights_addr, weights_stride_y);</div><div class="line"><a name="l01362"></a><span class="lineno"> 1362</span>  <span class="comment">//3x3 Convolution of elements starting in 1st row</span></div><div class="line"><a name="l01363"></a><span class="lineno"> 1363</span>  pixels1 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f16(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 1, weights_addr, weights_stride_y);</div><div class="line"><a name="l01364"></a><span class="lineno"> 1364</span>  <span class="comment">//3x3 Convolution of elements starting in 2nd row</span></div><div class="line"><a name="l01365"></a><span class="lineno"> 1365</span>  pixels2 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f16(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 2, weights_addr, weights_stride_y);</div><div class="line"><a name="l01366"></a><span class="lineno"> 1366</span>  <span class="comment">//3x3 Convolution of elements starting in 3rd row</span></div><div class="line"><a name="l01367"></a><span class="lineno"> 1367</span>  pixels3 = convolution_3x3_dilation_stridex1_stridey1_bifrost_f16(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 3, weights_addr, weights_stride_y);</div><div class="line"><a name="l01368"></a><span class="lineno"> 1368</span> </div><div class="line"><a name="l01369"></a><span class="lineno"> 1369</span> <span class="preprocessor">#endif </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l01370"></a><span class="lineno"> 1370</span> </div><div class="line"><a name="l01371"></a><span class="lineno"> 1371</span> <span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l01372"></a><span class="lineno"> 1372</span>  pixels0 += (half4)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l01373"></a><span class="lineno"> 1373</span>  pixels1 += (half4)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>  pixels2 += (half4)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l01375"></a><span class="lineno"> 1375</span>  pixels3 += (half4)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l01376"></a><span class="lineno"> 1376</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01377"></a><span class="lineno"> 1377</span> </div><div class="line"><a name="l01378"></a><span class="lineno"> 1378</span>  vstore4(<a class="code" href="activation__float__helpers_8h.xhtml#abbc420da5dec17216bb014c05ad65304">ACTIVATION</a>(ACTIVATION_TYPE, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, pixels0, A_VAL, B_VAL), 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 0 * dst_stride_y));</div><div class="line"><a name="l01379"></a><span class="lineno"> 1379</span>  vstore4(<a class="code" href="activation__float__helpers_8h.xhtml#abbc420da5dec17216bb014c05ad65304">ACTIVATION</a>(ACTIVATION_TYPE, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, pixels1, A_VAL, B_VAL), 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 1 * dst_stride_y));</div><div class="line"><a name="l01380"></a><span class="lineno"> 1380</span>  vstore4(<a class="code" href="activation__float__helpers_8h.xhtml#abbc420da5dec17216bb014c05ad65304">ACTIVATION</a>(ACTIVATION_TYPE, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, pixels2, A_VAL, B_VAL), 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 2 * dst_stride_y));</div><div class="line"><a name="l01381"></a><span class="lineno"> 1381</span>  vstore4(<a class="code" href="activation__float__helpers_8h.xhtml#abbc420da5dec17216bb014c05ad65304">ACTIVATION</a>(ACTIVATION_TYPE, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, pixels3, A_VAL, B_VAL), 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 3 * dst_stride_y));</div><div class="line"><a name="l01382"></a><span class="lineno"> 1382</span> }</div><div class="line"><a name="l01383"></a><span class="lineno"> 1383</span> </div><div class="line"><a name="l01421"></a><span class="lineno"> 1421</span> __kernel <span class="keywordtype">void</span> depthwise_convolution_3x3_stridex2_stridey2_bifrost_f16(</div><div class="line"><a name="l01422"></a><span class="lineno"> 1422</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l01423"></a><span class="lineno"> 1423</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_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="l01424"></a><span class="lineno"> 1424</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>)</div><div class="line"><a name="l01425"></a><span class="lineno"> 1425</span> #<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l01426"></a><span class="lineno"> 1426</span>  ,</div><div class="line"><a name="l01427"></a><span class="lineno"> 1427</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l01428"></a><span class="lineno"> 1428</span> #endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l01429"></a><span class="lineno"> 1429</span> )</div><div class="line"><a name="l01430"></a><span class="lineno"> 1430</span> {</div><div class="line"><a name="l01431"></a><span class="lineno"> 1431</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>);</div><div class="line"><a name="l01432"></a><span class="lineno"> 1432</span>  <a class="code" href="struct_image.xhtml">Image</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</div><div class="line"><a name="l01433"></a><span class="lineno"> 1433</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>);</div><div class="line"><a name="l01434"></a><span class="lineno"> 1434</span> </div><div class="line"><a name="l01435"></a><span class="lineno"> 1435</span>  <span class="comment">// Extract channel and linearized batch indices</span></div><div class="line"><a name="l01436"></a><span class="lineno"> 1436</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> channel = get_global_id(2) % DST_CHANNELS;</div><div class="line"><a name="l01437"></a><span class="lineno"> 1437</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> batch = get_global_id(2) / DST_CHANNELS;</div><div class="line"><a name="l01438"></a><span class="lineno"> 1438</span> </div><div class="line"><a name="l01439"></a><span class="lineno"> 1439</span> <span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l01440"></a><span class="lineno"> 1440</span>  <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l01441"></a><span class="lineno"> 1441</span> </div><div class="line"><a name="l01442"></a><span class="lineno"> 1442</span>  <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> = *((__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&biases, channel)));</div><div class="line"><a name="l01443"></a><span class="lineno"> 1443</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01444"></a><span class="lineno"> 1444</span> </div><div class="line"><a name="l01445"></a><span class="lineno"> 1445</span>  half4 pixels0 = 0.0f;</div><div class="line"><a name="l01446"></a><span class="lineno"> 1446</span>  half4 pixels1 = 0.0f;</div><div class="line"><a name="l01447"></a><span class="lineno"> 1447</span> </div><div class="line"><a name="l01448"></a><span class="lineno"> 1448</span>  <span class="comment">// Load relevant input and weights data ( Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l01449"></a><span class="lineno"> 1449</span>  __global uchar *weights_addr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z;</div><div class="line"><a name="l01450"></a><span class="lineno"> 1450</span>  __global uchar *src_addr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.ptr - batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z - (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z;</div><div class="line"><a name="l01451"></a><span class="lineno"> 1451</span> </div><div class="line"><a name="l01452"></a><span class="lineno"> 1452</span> <span class="preprocessor">#if(DILATION_X == 1 && DILATION_Y == 1)</span></div><div class="line"><a name="l01453"></a><span class="lineno"> 1453</span> </div><div class="line"><a name="l01454"></a><span class="lineno"> 1454</span>  <span class="comment">// Load the weights</span></div><div class="line"><a name="l01455"></a><span class="lineno"> 1455</span>  half3 weights_row0 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 0 * weights_stride_y));</div><div class="line"><a name="l01456"></a><span class="lineno"> 1456</span>  half3 weights_row1 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 1 * weights_stride_y));</div><div class="line"><a name="l01457"></a><span class="lineno"> 1457</span>  half3 weights_row2 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights_addr + 2 * weights_stride_y));</div><div class="line"><a name="l01458"></a><span class="lineno"> 1458</span> </div><div class="line"><a name="l01459"></a><span class="lineno"> 1459</span>  <span class="comment">// Note: Since each work-item computes 2x4 elements, we need to load 5 rows from the input tensor</span></div><div class="line"><a name="l01460"></a><span class="lineno"> 1460</span>  half8 src00 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 0 * src_stride_y)); <span class="comment">// Row0</span></div><div class="line"><a name="l01461"></a><span class="lineno"> 1461</span>  half2 src01 = vload2(4, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 0 * src_stride_y)); <span class="comment">// Row0</span></div><div class="line"><a name="l01462"></a><span class="lineno"> 1462</span>  half8 src10 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 1 * src_stride_y)); <span class="comment">// Row1</span></div><div class="line"><a name="l01463"></a><span class="lineno"> 1463</span>  half2 src11 = vload2(4, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 1 * src_stride_y)); <span class="comment">// Row1</span></div><div class="line"><a name="l01464"></a><span class="lineno"> 1464</span>  half8 src20 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 2 * src_stride_y)); <span class="comment">// Row2</span></div><div class="line"><a name="l01465"></a><span class="lineno"> 1465</span>  half2 src21 = vload2(4, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 2 * src_stride_y)); <span class="comment">// Row2</span></div><div class="line"><a name="l01466"></a><span class="lineno"> 1466</span>  half8 src30 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 3 * src_stride_y)); <span class="comment">// Row3</span></div><div class="line"><a name="l01467"></a><span class="lineno"> 1467</span>  half2 src31 = vload2(4, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 3 * src_stride_y)); <span class="comment">// Row3</span></div><div class="line"><a name="l01468"></a><span class="lineno"> 1468</span>  half8 src40 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 4 * src_stride_y)); <span class="comment">// Row4</span></div><div class="line"><a name="l01469"></a><span class="lineno"> 1469</span>  half2 src41 = vload2(4, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(src_addr + 4 * src_stride_y)); <span class="comment">// Row4</span></div><div class="line"><a name="l01470"></a><span class="lineno"> 1470</span> </div><div class="line"><a name="l01471"></a><span class="lineno"> 1471</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc">CONVOLUTION1x3_BIFROST4X1_STRIDE2</a>(pixels0, src00, src01, weights_row0);</div><div class="line"><a name="l01472"></a><span class="lineno"> 1472</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc">CONVOLUTION1x3_BIFROST4X1_STRIDE2</a>(pixels0, src10, src11, weights_row1);</div><div class="line"><a name="l01473"></a><span class="lineno"> 1473</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc">CONVOLUTION1x3_BIFROST4X1_STRIDE2</a>(pixels0, src20, src21, weights_row2);</div><div class="line"><a name="l01474"></a><span class="lineno"> 1474</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc">CONVOLUTION1x3_BIFROST4X1_STRIDE2</a>(pixels1, src20, src21, weights_row0);</div><div class="line"><a name="l01475"></a><span class="lineno"> 1475</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc">CONVOLUTION1x3_BIFROST4X1_STRIDE2</a>(pixels1, src30, src31, weights_row1);</div><div class="line"><a name="l01476"></a><span class="lineno"> 1476</span>  <a class="code" href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc">CONVOLUTION1x3_BIFROST4X1_STRIDE2</a>(pixels1, src40, src41, weights_row2);</div><div class="line"><a name="l01477"></a><span class="lineno"> 1477</span> </div><div class="line"><a name="l01478"></a><span class="lineno"> 1478</span> <span class="preprocessor">#else </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l01479"></a><span class="lineno"> 1479</span>  <span class="comment">//3x3 Convolution of elements starting in 0th row</span></div><div class="line"><a name="l01480"></a><span class="lineno"> 1480</span>  pixels0 = convolution_3x3_dilation_stridex2_stridey2_bifrost_f16(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 0, weights_addr, weights_stride_y);</div><div class="line"><a name="l01481"></a><span class="lineno"> 1481</span>  <span class="comment">//3x3 Convolution of elements starting in 2nd row</span></div><div class="line"><a name="l01482"></a><span class="lineno"> 1482</span>  pixels1 = convolution_3x3_dilation_stridex2_stridey2_bifrost_f16(src_addr, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_x, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.stride_y, 2, weights_addr, weights_stride_y);</div><div class="line"><a name="l01483"></a><span class="lineno"> 1483</span> <span class="preprocessor">#endif </span><span class="comment">/* DILATION_X==1 && DILATION_Y==1 */</span><span class="preprocessor"></span></div><div class="line"><a name="l01484"></a><span class="lineno"> 1484</span> </div><div class="line"><a name="l01485"></a><span class="lineno"> 1485</span> <span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l01486"></a><span class="lineno"> 1486</span>  pixels0 += (half4)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l01487"></a><span class="lineno"> 1487</span>  pixels1 += (half4)<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l01488"></a><span class="lineno"> 1488</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01489"></a><span class="lineno"> 1489</span> </div><div class="line"><a name="l01490"></a><span class="lineno"> 1490</span>  vstore4(<a class="code" href="activation__float__helpers_8h.xhtml#abbc420da5dec17216bb014c05ad65304">ACTIVATION</a>(ACTIVATION_TYPE, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, pixels0, A_VAL, B_VAL), 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 0 * dst_stride_y));</div><div class="line"><a name="l01491"></a><span class="lineno"> 1491</span>  vstore4(<a class="code" href="activation__float__helpers_8h.xhtml#abbc420da5dec17216bb014c05ad65304">ACTIVATION</a>(ACTIVATION_TYPE, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, pixels1, A_VAL, B_VAL), 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.ptr + 1 * dst_stride_y));</div><div class="line"><a name="l01492"></a><span class="lineno"> 1492</span> }</div><div class="line"><a name="l01493"></a><span class="lineno"> 1493</span> <span class="preprocessor">#endif // defined(ARM_COMPUTE_OPENCL_FP16_ENABLED) && defined(DEPTH_MULTIPLIER) && defined(DST_CHANNELS) && defined(IS_F16)</span></div><div class="line"><a name="l01494"></a><span class="lineno"> 1494</span> </div><div class="line"><a name="l01495"></a><span class="lineno"> 1495</span> <span class="preprocessor">#if defined(VEC_SIZE) && defined(SRC_DIM_2) && defined(CONV_PAD_TOP) && defined(CONV_PAD_LEFT) && defined(DATA_TYPE)</span></div><div class="line"><a name="l01496"></a><span class="lineno"> 1496</span> </div><div class="line"><a name="l01497"></a><span class="lineno"> 1497</span> <span class="preprocessor">#if DATA_TYPE != float || DATA_TYPE != half</span></div><div class="line"><a name="l01498"></a><span class="lineno"> 1498</span> <span class="preprocessor">#error "Unsupported data type"</span></div><div class="line"><a name="l01499"></a><span class="lineno"> 1499</span> <span class="preprocessor">#endif // DATA_TYPE != float || DATA_TYPE != half</span></div><div class="line"><a name="l01500"></a><span class="lineno"> 1500</span> </div><div class="line"><a name="l01501"></a><span class="lineno"> 1501</span> <span class="preprocessor">#define VEC_FLOAT VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)</span></div><div class="line"><a name="l01502"></a><span class="lineno"> 1502</span> </div><div class="line"><a name="l01503"></a><span class="lineno"> 1503</span> <span class="preprocessor">#if defined(CONV_STRIDE_X) && defined(CONV_STRIDE_Y)</span></div><div class="line"><a name="l01504"></a><span class="lineno"> 1504</span> </div><div class="line"><a name="l01551"></a><span class="lineno"> 1551</span> __kernel <span class="keywordtype">void</span> depthwise_convolution_3x3_nhwc(</div><div class="line"><a name="l01552"></a><span class="lineno"> 1552</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l01553"></a><span class="lineno"> 1553</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l01554"></a><span class="lineno"> 1554</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>),</div><div class="line"><a name="l01555"></a><span class="lineno"> 1555</span> #<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l01556"></a><span class="lineno"> 1556</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases),</div><div class="line"><a name="l01557"></a><span class="lineno"> 1557</span> #endif <span class="comment">/* defined(HAS_BIAS) */</span></div><div class="line"><a name="l01558"></a><span class="lineno"> 1558</span>  <span class="keywordtype">int</span> max_offset)</div><div class="line"><a name="l01559"></a><span class="lineno"> 1559</span> {</div><div class="line"><a name="l01560"></a><span class="lineno"> 1560</span>  <span class="keywordtype">int</span> x = get_global_id(0); <span class="comment">// channels</span></div><div class="line"><a name="l01561"></a><span class="lineno"> 1561</span>  <span class="keywordtype">int</span> y = get_global_id(1); <span class="comment">// spatial coordinate x</span></div><div class="line"><a name="l01562"></a><span class="lineno"> 1562</span> <span class="preprocessor">#if defined(DST_DEPTH)</span></div><div class="line"><a name="l01563"></a><span class="lineno"> 1563</span>  <span class="keywordtype">int</span> z = get_global_id(2) % (int)DST_DEPTH; <span class="comment">// spatial coordinate y</span></div><div class="line"><a name="l01564"></a><span class="lineno"> 1564</span>  <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = get_global_id(2) / (int)DST_DEPTH; <span class="comment">// batch</span></div><div class="line"><a name="l01565"></a><span class="lineno"> 1565</span> <span class="preprocessor">#else // defined(DST_DEPTH)</span></div><div class="line"><a name="l01566"></a><span class="lineno"> 1566</span>  <span class="keywordtype">int</span> z = get_global_id(2); <span class="comment">// spatial coordinate y</span></div><div class="line"><a name="l01567"></a><span class="lineno"> 1567</span> <span class="preprocessor">#endif // defined(DST_DEPTH)</span></div><div class="line"><a name="l01568"></a><span class="lineno"> 1568</span> </div><div class="line"><a name="l01569"></a><span class="lineno"> 1569</span>  <a class="code" href="struct_vector.xhtml">Vector</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>);</div><div class="line"><a name="l01570"></a><span class="lineno"> 1570</span> </div><div class="line"><a name="l01571"></a><span class="lineno"> 1571</span> <span class="preprocessor">#if defined(DST_DEPTH)</span></div><div class="line"><a name="l01572"></a><span class="lineno"> 1572</span>  __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * src_stride_w;</div><div class="line"><a name="l01573"></a><span class="lineno"> 1573</span> <span class="preprocessor">#else </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01574"></a><span class="lineno"> 1574</span>  __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE;</div><div class="line"><a name="l01575"></a><span class="lineno"> 1575</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01576"></a><span class="lineno"> 1576</span> </div><div class="line"><a name="l01577"></a><span class="lineno"> 1577</span>  <span class="keywordtype">int</span> z_coord = 0;</div><div class="line"><a name="l01578"></a><span class="lineno"> 1578</span>  int4 <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = 0;</div><div class="line"><a name="l01579"></a><span class="lineno"> 1579</span>  int4 y_offset = ((int4)(y * CONV_STRIDE_X) + (int4)(0, DILATION_X * 1, DILATION_X * 2, DILATION_X * 3) - CONV_PAD_LEFT) * (int4)src_stride_y;</div><div class="line"><a name="l01580"></a><span class="lineno"> 1580</span> </div><div class="line"><a name="l01581"></a><span class="lineno"> 1581</span>  <span class="comment">// We compute 2x1x1 [C,W,H] elements</span></div><div class="line"><a name="l01582"></a><span class="lineno"> 1582</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> acc = 0;</div><div class="line"><a name="l01583"></a><span class="lineno"> 1583</span> </div><div class="line"><a name="l01584"></a><span class="lineno"> 1584</span>  <span class="comment">// Load weights</span></div><div class="line"><a name="l01585"></a><span class="lineno"> 1585</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w0 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 0 * weights_stride_y + 0 * weights_stride_z));</div><div class="line"><a name="l01586"></a><span class="lineno"> 1586</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w1 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 1 * weights_stride_y + 0 * weights_stride_z));</div><div class="line"><a name="l01587"></a><span class="lineno"> 1587</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w2 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 2 * weights_stride_y + 0 * weights_stride_z));</div><div class="line"><a name="l01588"></a><span class="lineno"> 1588</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w3 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 0 * weights_stride_y + 1 * weights_stride_z));</div><div class="line"><a name="l01589"></a><span class="lineno"> 1589</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w4 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 1 * weights_stride_y + 1 * weights_stride_z));</div><div class="line"><a name="l01590"></a><span class="lineno"> 1590</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w5 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 2 * weights_stride_y + 1 * weights_stride_z));</div><div class="line"><a name="l01591"></a><span class="lineno"> 1591</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w6 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 0 * weights_stride_y + 2 * weights_stride_z));</div><div class="line"><a name="l01592"></a><span class="lineno"> 1592</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w7 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 1 * weights_stride_y + 2 * weights_stride_z));</div><div class="line"><a name="l01593"></a><span class="lineno"> 1593</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w8 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 2 * weights_stride_y + 2 * weights_stride_z));</div><div class="line"><a name="l01594"></a><span class="lineno"> 1594</span> </div><div class="line"><a name="l01595"></a><span class="lineno"> 1595</span>  <span class="comment">// Load input values</span></div><div class="line"><a name="l01596"></a><span class="lineno"> 1596</span>  <span class="comment">// z == 0</span></div><div class="line"><a name="l01597"></a><span class="lineno"> 1597</span>  <span class="comment">// Clamp z_coord as for z = 0, it can be negative</span></div><div class="line"><a name="l01598"></a><span class="lineno"> 1598</span>  <span class="comment">// z_coord is casted to unsigned int in order to use just a min() operation</span></div><div class="line"><a name="l01599"></a><span class="lineno"> 1599</span>  <span class="comment">// A "-1" 32 bit signed variable converted to unsigned gives 4294967295</span></div><div class="line"><a name="l01600"></a><span class="lineno"> 1600</span>  z_coord = z * CONV_STRIDE_Y - (int)CONV_PAD_TOP;</div><div class="line"><a name="l01601"></a><span class="lineno"> 1601</span>  z_coord = min((uint)z_coord, (uint)SRC_DIM_2);</div><div class="line"><a name="l01602"></a><span class="lineno"> 1602</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = y_offset + (int4)(z_coord * src_stride_z);</div><div class="line"><a name="l01603"></a><span class="lineno"> 1603</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = min(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>, (int4)max_offset);</div><div class="line"><a name="l01604"></a><span class="lineno"> 1604</span> </div><div class="line"><a name="l01605"></a><span class="lineno"> 1605</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values0 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s0));</div><div class="line"><a name="l01606"></a><span class="lineno"> 1606</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values1 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s1));</div><div class="line"><a name="l01607"></a><span class="lineno"> 1607</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values2 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s2));</div><div class="line"><a name="l01608"></a><span class="lineno"> 1608</span> </div><div class="line"><a name="l01609"></a><span class="lineno"> 1609</span>  <span class="comment">// z == 1</span></div><div class="line"><a name="l01610"></a><span class="lineno"> 1610</span>  <span class="comment">// z_coord can be only negative for z = 0 so we do not need to clamp it</span></div><div class="line"><a name="l01611"></a><span class="lineno"> 1611</span>  <span class="comment">// Moreover z_coord cannot be out-of-bound for z = 1 so we do not need to clamp the offset</span></div><div class="line"><a name="l01612"></a><span class="lineno"> 1612</span>  z_coord = z * CONV_STRIDE_Y - (int)CONV_PAD_TOP + DILATION_Y;</div><div class="line"><a name="l01613"></a><span class="lineno"> 1613</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = y_offset + (int4)(z_coord * src_stride_z);</div><div class="line"><a name="l01614"></a><span class="lineno"> 1614</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values3 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s0));</div><div class="line"><a name="l01615"></a><span class="lineno"> 1615</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values4 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s1));</div><div class="line"><a name="l01616"></a><span class="lineno"> 1616</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values5 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s2));</div><div class="line"><a name="l01617"></a><span class="lineno"> 1617</span> </div><div class="line"><a name="l01618"></a><span class="lineno"> 1618</span>  <span class="comment">// z == 2</span></div><div class="line"><a name="l01619"></a><span class="lineno"> 1619</span>  <span class="comment">// Offset can be out-of-bound so we need to check if it is greater than max_offset</span></div><div class="line"><a name="l01620"></a><span class="lineno"> 1620</span>  z_coord = z * CONV_STRIDE_Y - (int)CONV_PAD_TOP + DILATION_Y * 2;</div><div class="line"><a name="l01621"></a><span class="lineno"> 1621</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = y_offset + (int4)(z_coord * src_stride_z);</div><div class="line"><a name="l01622"></a><span class="lineno"> 1622</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = min(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>, (int4)max_offset);</div><div class="line"><a name="l01623"></a><span class="lineno"> 1623</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values6 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s0));</div><div class="line"><a name="l01624"></a><span class="lineno"> 1624</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values7 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s1));</div><div class="line"><a name="l01625"></a><span class="lineno"> 1625</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values8 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s2));</div><div class="line"><a name="l01626"></a><span class="lineno"> 1626</span> </div><div class="line"><a name="l01627"></a><span class="lineno"> 1627</span>  acc = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values0, w0, acc);</div><div class="line"><a name="l01628"></a><span class="lineno"> 1628</span>  acc = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values1, w1, acc);</div><div class="line"><a name="l01629"></a><span class="lineno"> 1629</span>  acc = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values2, w2, acc);</div><div class="line"><a name="l01630"></a><span class="lineno"> 1630</span> </div><div class="line"><a name="l01631"></a><span class="lineno"> 1631</span>  acc = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values3, w3, acc);</div><div class="line"><a name="l01632"></a><span class="lineno"> 1632</span>  acc = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values4, w4, acc);</div><div class="line"><a name="l01633"></a><span class="lineno"> 1633</span>  acc = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values5, w5, acc);</div><div class="line"><a name="l01634"></a><span class="lineno"> 1634</span> </div><div class="line"><a name="l01635"></a><span class="lineno"> 1635</span>  acc = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values6, w6, acc);</div><div class="line"><a name="l01636"></a><span class="lineno"> 1636</span>  acc = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values7, w7, acc);</div><div class="line"><a name="l01637"></a><span class="lineno"> 1637</span>  acc = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values8, w8, acc);</div><div class="line"><a name="l01638"></a><span class="lineno"> 1638</span> </div><div class="line"><a name="l01639"></a><span class="lineno"> 1639</span> <span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l01640"></a><span class="lineno"> 1640</span>  <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(biases);</div><div class="line"><a name="l01641"></a><span class="lineno"> 1641</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> bias_values = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)biases.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l01642"></a><span class="lineno"> 1642</span>  acc += bias_values;</div><div class="line"><a name="l01643"></a><span class="lineno"> 1643</span> <span class="preprocessor">#endif // defined(HAS_BIAS)</span></div><div class="line"><a name="l01644"></a><span class="lineno"> 1644</span> </div><div class="line"><a name="l01645"></a><span class="lineno"> 1645</span> <span class="preprocessor">#if defined(DST_DEPTH)</span></div><div class="line"><a name="l01646"></a><span class="lineno"> 1646</span>  __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * dst_step_x + y * dst_step_y + z * dst_step_z + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * dst_stride_w;</div><div class="line"><a name="l01647"></a><span class="lineno"> 1647</span> <span class="preprocessor">#else </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01648"></a><span class="lineno"> 1648</span>  __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * dst_step_x + y * dst_step_y + z * dst_step_z;</div><div class="line"><a name="l01649"></a><span class="lineno"> 1649</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01650"></a><span class="lineno"> 1650</span> </div><div class="line"><a name="l01651"></a><span class="lineno"> 1651</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l01652"></a><span class="lineno"> 1652</span>  (<a class="code" href="activation__float__helpers_8h.xhtml#abbc420da5dec17216bb014c05ad65304">ACTIVATION</a>(ACTIVATION_TYPE, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, acc, A_VAL, B_VAL), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr));</div><div class="line"><a name="l01653"></a><span class="lineno"> 1653</span> }</div><div class="line"><a name="l01654"></a><span class="lineno"> 1654</span> <span class="preprocessor">#endif // defined(CONV_STRIDE_X) && defined(CONV_STRIDE_Y)</span></div><div class="line"><a name="l01655"></a><span class="lineno"> 1655</span> </div><div class="line"><a name="l01656"></a><span class="lineno"> 1656</span> <span class="preprocessor">#if defined(NUM_ROWS_PROCESSED) && defined(NUM_PLANES_PROCESSED)</span></div><div class="line"><a name="l01657"></a><span class="lineno"> 1657</span> </div><div class="line"><a name="l01704"></a><span class="lineno"> 1704</span> __kernel <span class="keywordtype">void</span> depthwise_convolution_3x3_nhwc_stride1(</div><div class="line"><a name="l01705"></a><span class="lineno"> 1705</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l01706"></a><span class="lineno"> 1706</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l01707"></a><span class="lineno"> 1707</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>),</div><div class="line"><a name="l01708"></a><span class="lineno"> 1708</span> #<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l01709"></a><span class="lineno"> 1709</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases),</div><div class="line"><a name="l01710"></a><span class="lineno"> 1710</span> #endif <span class="comment">/* defined(HAS_BIAS) */</span></div><div class="line"><a name="l01711"></a><span class="lineno"> 1711</span>  <span class="keywordtype">int</span> max_offset)</div><div class="line"><a name="l01712"></a><span class="lineno"> 1712</span> {</div><div class="line"><a name="l01713"></a><span class="lineno"> 1713</span>  <span class="keywordtype">int</span> x = get_global_id(0); <span class="comment">// channels</span></div><div class="line"><a name="l01714"></a><span class="lineno"> 1714</span>  <span class="keywordtype">int</span> y = get_global_id(1); <span class="comment">// spatial coordinate x</span></div><div class="line"><a name="l01715"></a><span class="lineno"> 1715</span> <span class="preprocessor">#if defined(DST_DEPTH)</span></div><div class="line"><a name="l01716"></a><span class="lineno"> 1716</span>  <span class="keywordtype">int</span> z = get_global_id(2) % (int)DST_DEPTH; <span class="comment">// spatial coordinate y</span></div><div class="line"><a name="l01717"></a><span class="lineno"> 1717</span>  <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = get_global_id(2) / (int)DST_DEPTH; <span class="comment">// batch</span></div><div class="line"><a name="l01718"></a><span class="lineno"> 1718</span> <span class="preprocessor">#else // defined(DST_DEPTH)</span></div><div class="line"><a name="l01719"></a><span class="lineno"> 1719</span>  <span class="keywordtype">int</span> z = get_global_id(2); <span class="comment">// spatial coordinate y</span></div><div class="line"><a name="l01720"></a><span class="lineno"> 1720</span> <span class="preprocessor">#endif // defined(DST_DEPTH)</span></div><div class="line"><a name="l01721"></a><span class="lineno"> 1721</span> </div><div class="line"><a name="l01722"></a><span class="lineno"> 1722</span>  <a class="code" href="struct_vector.xhtml">Vector</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>);</div><div class="line"><a name="l01723"></a><span class="lineno"> 1723</span> </div><div class="line"><a name="l01724"></a><span class="lineno"> 1724</span> <span class="preprocessor">#if defined(DST_DEPTH)</span></div><div class="line"><a name="l01725"></a><span class="lineno"> 1725</span>  __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * src_stride_w;</div><div class="line"><a name="l01726"></a><span class="lineno"> 1726</span> <span class="preprocessor">#else </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01727"></a><span class="lineno"> 1727</span>  __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) * VEC_SIZE;</div><div class="line"><a name="l01728"></a><span class="lineno"> 1728</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01729"></a><span class="lineno"> 1729</span> </div><div class="line"><a name="l01730"></a><span class="lineno"> 1730</span>  <span class="keywordtype">int</span> z_coord = 0;</div><div class="line"><a name="l01731"></a><span class="lineno"> 1731</span>  int4 <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = 0;</div><div class="line"><a name="l01732"></a><span class="lineno"> 1732</span>  int4 y_offset = ((int4)(y * NUM_ROWS_PROCESSED) + (int4)(0, 1, 2, 3) - (int)CONV_PAD_LEFT) * (int4)src_stride_y;</div><div class="line"><a name="l01733"></a><span class="lineno"> 1733</span> </div><div class="line"><a name="l01734"></a><span class="lineno"> 1734</span>  <span class="comment">// We compute 2x2x2 [C,W,H] elements</span></div><div class="line"><a name="l01735"></a><span class="lineno"> 1735</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> acc0 = 0;</div><div class="line"><a name="l01736"></a><span class="lineno"> 1736</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> acc1 = 0;</div><div class="line"><a name="l01737"></a><span class="lineno"> 1737</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> acc2 = 0;</div><div class="line"><a name="l01738"></a><span class="lineno"> 1738</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> acc3 = 0;</div><div class="line"><a name="l01739"></a><span class="lineno"> 1739</span> </div><div class="line"><a name="l01740"></a><span class="lineno"> 1740</span>  <span class="comment">// Load weights</span></div><div class="line"><a name="l01741"></a><span class="lineno"> 1741</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w0 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 0 * weights_stride_y + 0 * weights_stride_z));</div><div class="line"><a name="l01742"></a><span class="lineno"> 1742</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w1 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 1 * weights_stride_y + 0 * weights_stride_z));</div><div class="line"><a name="l01743"></a><span class="lineno"> 1743</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w2 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 2 * weights_stride_y + 0 * weights_stride_z));</div><div class="line"><a name="l01744"></a><span class="lineno"> 1744</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w3 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 0 * weights_stride_y + 1 * weights_stride_z));</div><div class="line"><a name="l01745"></a><span class="lineno"> 1745</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w4 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 1 * weights_stride_y + 1 * weights_stride_z));</div><div class="line"><a name="l01746"></a><span class="lineno"> 1746</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w5 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 2 * weights_stride_y + 1 * weights_stride_z));</div><div class="line"><a name="l01747"></a><span class="lineno"> 1747</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w6 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 0 * weights_stride_y + 2 * weights_stride_z));</div><div class="line"><a name="l01748"></a><span class="lineno"> 1748</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w7 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 1 * weights_stride_y + 2 * weights_stride_z));</div><div class="line"><a name="l01749"></a><span class="lineno"> 1749</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> w8 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>.ptr + 2 * weights_stride_y + 2 * weights_stride_z));</div><div class="line"><a name="l01750"></a><span class="lineno"> 1750</span> </div><div class="line"><a name="l01751"></a><span class="lineno"> 1751</span>  <span class="comment">// Load input values</span></div><div class="line"><a name="l01752"></a><span class="lineno"> 1752</span>  <span class="comment">// z == 0</span></div><div class="line"><a name="l01753"></a><span class="lineno"> 1753</span>  <span class="comment">// Clamp z_coord as for z = 0, it can be negative</span></div><div class="line"><a name="l01754"></a><span class="lineno"> 1754</span>  <span class="comment">// z_coord is casted to unsigned int in order to use just a min() operation</span></div><div class="line"><a name="l01755"></a><span class="lineno"> 1755</span>  <span class="comment">// A "-1" 32 bit signed variable converted to unsigned gives 4294967295</span></div><div class="line"><a name="l01756"></a><span class="lineno"> 1756</span>  z_coord = z * (int)NUM_PLANES_PROCESSED - (<span class="keywordtype">int</span>)CONV_PAD_TOP;</div><div class="line"><a name="l01757"></a><span class="lineno"> 1757</span>  z_coord = min((uint)z_coord, (uint)SRC_DIM_2);</div><div class="line"><a name="l01758"></a><span class="lineno"> 1758</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = y_offset + (int4)(z_coord * src_stride_z);</div><div class="line"><a name="l01759"></a><span class="lineno"> 1759</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = min(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>, (int4)max_offset);</div><div class="line"><a name="l01760"></a><span class="lineno"> 1760</span> </div><div class="line"><a name="l01761"></a><span class="lineno"> 1761</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values0 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s0));</div><div class="line"><a name="l01762"></a><span class="lineno"> 1762</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values1 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s1));</div><div class="line"><a name="l01763"></a><span class="lineno"> 1763</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values2 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s2));</div><div class="line"><a name="l01764"></a><span class="lineno"> 1764</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values3 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s3));</div><div class="line"><a name="l01765"></a><span class="lineno"> 1765</span> </div><div class="line"><a name="l01766"></a><span class="lineno"> 1766</span>  <span class="comment">// z == 1</span></div><div class="line"><a name="l01767"></a><span class="lineno"> 1767</span>  <span class="comment">// z_coord can be only negative for z = 0 so we do not need to clamp it</span></div><div class="line"><a name="l01768"></a><span class="lineno"> 1768</span>  <span class="comment">// Moreover z_coord cannot be out-of-bound for z = 1 so we do not need to clamp the offset</span></div><div class="line"><a name="l01769"></a><span class="lineno"> 1769</span>  z_coord = z * (int)NUM_PLANES_PROCESSED - (<span class="keywordtype">int</span>)CONV_PAD_TOP + 1;</div><div class="line"><a name="l01770"></a><span class="lineno"> 1770</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = y_offset + (int4)(z_coord * src_stride_z);</div><div class="line"><a name="l01771"></a><span class="lineno"> 1771</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values4 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s0));</div><div class="line"><a name="l01772"></a><span class="lineno"> 1772</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values5 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s1));</div><div class="line"><a name="l01773"></a><span class="lineno"> 1773</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values6 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s2));</div><div class="line"><a name="l01774"></a><span class="lineno"> 1774</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values7 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s3));</div><div class="line"><a name="l01775"></a><span class="lineno"> 1775</span> </div><div class="line"><a name="l01776"></a><span class="lineno"> 1776</span>  <span class="comment">// z == 2</span></div><div class="line"><a name="l01777"></a><span class="lineno"> 1777</span>  <span class="comment">// After z = 1 we can simply add src_stride_z to offset without updating z_coord</span></div><div class="line"><a name="l01778"></a><span class="lineno"> 1778</span>  <span class="comment">// However offset can be out-of-bound so we need to check if it is greater than max_offset</span></div><div class="line"><a name="l01779"></a><span class="lineno"> 1779</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> += (int4)src_stride_z;</div><div class="line"><a name="l01780"></a><span class="lineno"> 1780</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = min(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>, (int4)max_offset);</div><div class="line"><a name="l01781"></a><span class="lineno"> 1781</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values8 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s0));</div><div class="line"><a name="l01782"></a><span class="lineno"> 1782</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values9 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s1));</div><div class="line"><a name="l01783"></a><span class="lineno"> 1783</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values10 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s2));</div><div class="line"><a name="l01784"></a><span class="lineno"> 1784</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values11 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s3));</div><div class="line"><a name="l01785"></a><span class="lineno"> 1785</span> </div><div class="line"><a name="l01786"></a><span class="lineno"> 1786</span>  <span class="comment">// z == 3</span></div><div class="line"><a name="l01787"></a><span class="lineno"> 1787</span>  <span class="comment">// After z = 1 we can simply add src_stride_z to offset without updating z_coord</span></div><div class="line"><a name="l01788"></a><span class="lineno"> 1788</span>  <span class="comment">// However offset can be out-of-bound so we need to check if it is greater than max_offset</span></div><div class="line"><a name="l01789"></a><span class="lineno"> 1789</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> += (int4)src_stride_z;</div><div class="line"><a name="l01790"></a><span class="lineno"> 1790</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = min(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>, (int4)max_offset);</div><div class="line"><a name="l01791"></a><span class="lineno"> 1791</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values12 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s0));</div><div class="line"><a name="l01792"></a><span class="lineno"> 1792</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values13 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s1));</div><div class="line"><a name="l01793"></a><span class="lineno"> 1793</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values14 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s2));</div><div class="line"><a name="l01794"></a><span class="lineno"> 1794</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> values15 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>.s3));</div><div class="line"><a name="l01795"></a><span class="lineno"> 1795</span> </div><div class="line"><a name="l01796"></a><span class="lineno"> 1796</span>  acc0 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values0, w0, acc0);</div><div class="line"><a name="l01797"></a><span class="lineno"> 1797</span>  acc0 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values1, w1, acc0);</div><div class="line"><a name="l01798"></a><span class="lineno"> 1798</span>  acc0 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values2, w2, acc0);</div><div class="line"><a name="l01799"></a><span class="lineno"> 1799</span>  acc1 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values1, w0, acc1);</div><div class="line"><a name="l01800"></a><span class="lineno"> 1800</span>  acc1 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values2, w1, acc1);</div><div class="line"><a name="l01801"></a><span class="lineno"> 1801</span>  acc1 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values3, w2, acc1);</div><div class="line"><a name="l01802"></a><span class="lineno"> 1802</span> </div><div class="line"><a name="l01803"></a><span class="lineno"> 1803</span>  acc0 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values4, w3, acc0);</div><div class="line"><a name="l01804"></a><span class="lineno"> 1804</span>  acc0 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values5, w4, acc0);</div><div class="line"><a name="l01805"></a><span class="lineno"> 1805</span>  acc0 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values6, w5, acc0);</div><div class="line"><a name="l01806"></a><span class="lineno"> 1806</span>  acc1 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values5, w3, acc1);</div><div class="line"><a name="l01807"></a><span class="lineno"> 1807</span>  acc1 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values6, w4, acc1);</div><div class="line"><a name="l01808"></a><span class="lineno"> 1808</span>  acc1 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values7, w5, acc1);</div><div class="line"><a name="l01809"></a><span class="lineno"> 1809</span> </div><div class="line"><a name="l01810"></a><span class="lineno"> 1810</span>  acc0 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values8, w6, acc0);</div><div class="line"><a name="l01811"></a><span class="lineno"> 1811</span>  acc0 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values9, w7, acc0);</div><div class="line"><a name="l01812"></a><span class="lineno"> 1812</span>  acc0 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values10, w8, acc0);</div><div class="line"><a name="l01813"></a><span class="lineno"> 1813</span>  acc1 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values9, w6, acc1);</div><div class="line"><a name="l01814"></a><span class="lineno"> 1814</span>  acc1 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values10, w7, acc1);</div><div class="line"><a name="l01815"></a><span class="lineno"> 1815</span>  acc1 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values11, w8, acc1);</div><div class="line"><a name="l01816"></a><span class="lineno"> 1816</span> </div><div class="line"><a name="l01817"></a><span class="lineno"> 1817</span>  acc2 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values4, w0, acc2);</div><div class="line"><a name="l01818"></a><span class="lineno"> 1818</span>  acc2 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values5, w1, acc2);</div><div class="line"><a name="l01819"></a><span class="lineno"> 1819</span>  acc2 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values6, w2, acc2);</div><div class="line"><a name="l01820"></a><span class="lineno"> 1820</span>  acc3 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values5, w0, acc3);</div><div class="line"><a name="l01821"></a><span class="lineno"> 1821</span>  acc3 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values6, w1, acc3);</div><div class="line"><a name="l01822"></a><span class="lineno"> 1822</span>  acc3 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values7, w2, acc3);</div><div class="line"><a name="l01823"></a><span class="lineno"> 1823</span> </div><div class="line"><a name="l01824"></a><span class="lineno"> 1824</span>  acc2 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values8, w3, acc2);</div><div class="line"><a name="l01825"></a><span class="lineno"> 1825</span>  acc2 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values9, w4, acc2);</div><div class="line"><a name="l01826"></a><span class="lineno"> 1826</span>  acc2 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values10, w5, acc2);</div><div class="line"><a name="l01827"></a><span class="lineno"> 1827</span>  acc3 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values9, w3, acc3);</div><div class="line"><a name="l01828"></a><span class="lineno"> 1828</span>  acc3 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values10, w4, acc3);</div><div class="line"><a name="l01829"></a><span class="lineno"> 1829</span>  acc3 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values11, w5, acc3);</div><div class="line"><a name="l01830"></a><span class="lineno"> 1830</span> </div><div class="line"><a name="l01831"></a><span class="lineno"> 1831</span>  acc2 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values12, w6, acc2);</div><div class="line"><a name="l01832"></a><span class="lineno"> 1832</span>  acc2 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values13, w7, acc2);</div><div class="line"><a name="l01833"></a><span class="lineno"> 1833</span>  acc2 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values14, w8, acc2);</div><div class="line"><a name="l01834"></a><span class="lineno"> 1834</span>  acc3 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values13, w6, acc3);</div><div class="line"><a name="l01835"></a><span class="lineno"> 1835</span>  acc3 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values14, w7, acc3);</div><div class="line"><a name="l01836"></a><span class="lineno"> 1836</span>  acc3 = <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">fma</a>(values15, w8, acc3);</div><div class="line"><a name="l01837"></a><span class="lineno"> 1837</span> </div><div class="line"><a name="l01838"></a><span class="lineno"> 1838</span> <span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l01839"></a><span class="lineno"> 1839</span>  <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(biases);</div><div class="line"><a name="l01840"></a><span class="lineno"> 1840</span> </div><div class="line"><a name="l01841"></a><span class="lineno"> 1841</span>  <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> bias_values = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)biases.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l01842"></a><span class="lineno"> 1842</span> </div><div class="line"><a name="l01843"></a><span class="lineno"> 1843</span>  acc0 += bias_values;</div><div class="line"><a name="l01844"></a><span class="lineno"> 1844</span>  acc1 += bias_values;</div><div class="line"><a name="l01845"></a><span class="lineno"> 1845</span>  acc2 += bias_values;</div><div class="line"><a name="l01846"></a><span class="lineno"> 1846</span>  acc3 += bias_values;</div><div class="line"><a name="l01847"></a><span class="lineno"> 1847</span> <span class="preprocessor">#endif // defined(HAS_BIAS)</span></div><div class="line"><a name="l01848"></a><span class="lineno"> 1848</span> </div><div class="line"><a name="l01849"></a><span class="lineno"> 1849</span> <span class="preprocessor">#if defined(DST_DEPTH)</span></div><div class="line"><a name="l01850"></a><span class="lineno"> 1850</span>  __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * dst_step_x + y * dst_step_y + (z * NUM_PLANES_PROCESSED) * dst_step_z + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * dst_stride_w;</div><div class="line"><a name="l01851"></a><span class="lineno"> 1851</span> <span class="preprocessor">#else </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01852"></a><span class="lineno"> 1852</span>  __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * dst_step_x + y * dst_step_y + (z * NUM_PLANES_PROCESSED) * dst_step_z;</div><div class="line"><a name="l01853"></a><span class="lineno"> 1853</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(DST_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01854"></a><span class="lineno"> 1854</span> </div><div class="line"><a name="l01855"></a><span class="lineno"> 1855</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l01856"></a><span class="lineno"> 1856</span>  (<a class="code" href="activation__float__helpers_8h.xhtml#abbc420da5dec17216bb014c05ad65304">ACTIVATION</a>(ACTIVATION_TYPE, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, acc0, A_VAL, B_VAL), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 0 * dst_stride_y));</div><div class="line"><a name="l01857"></a><span class="lineno"> 1857</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l01858"></a><span class="lineno"> 1858</span>  (<a class="code" href="activation__float__helpers_8h.xhtml#abbc420da5dec17216bb014c05ad65304">ACTIVATION</a>(ACTIVATION_TYPE, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, acc1, A_VAL, B_VAL), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 1 * dst_stride_y));</div><div class="line"><a name="l01859"></a><span class="lineno"> 1859</span> </div><div class="line"><a name="l01860"></a><span class="lineno"> 1860</span> <span class="preprocessor">#if((DST_DIM_2 % NUM_PLANES_PROCESSED) != 0)</span></div><div class="line"><a name="l01861"></a><span class="lineno"> 1861</span>  <span class="keywordflow">if</span>((z * NUM_PLANES_PROCESSED + 1) < DST_DIM_2)</div><div class="line"><a name="l01862"></a><span class="lineno"> 1862</span> #endif <span class="comment">// ((DST_DIM_2 % NUM_PLANES_PROCESSED) != 0)</span></div><div class="line"><a name="l01863"></a><span class="lineno"> 1863</span>  {</div><div class="line"><a name="l01864"></a><span class="lineno"> 1864</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l01865"></a><span class="lineno"> 1865</span>  (<a class="code" href="activation__float__helpers_8h.xhtml#abbc420da5dec17216bb014c05ad65304">ACTIVATION</a>(ACTIVATION_TYPE, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, acc2, A_VAL, B_VAL), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 0 * dst_stride_y + 1 * dst_stride_z));</div><div class="line"><a name="l01866"></a><span class="lineno"> 1866</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l01867"></a><span class="lineno"> 1867</span>  (<a class="code" href="activation__float__helpers_8h.xhtml#abbc420da5dec17216bb014c05ad65304">ACTIVATION</a>(ACTIVATION_TYPE, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, acc3, A_VAL, B_VAL), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 1 * dst_stride_y + 1 * dst_stride_z));</div><div class="line"><a name="l01868"></a><span class="lineno"> 1868</span>  }</div><div class="line"><a name="l01869"></a><span class="lineno"> 1869</span> }</div><div class="line"><a name="l01870"></a><span class="lineno"> 1870</span> </div><div class="line"><a name="l01871"></a><span class="lineno"> 1871</span> <span class="preprocessor">#endif // defined(NUM_ROWS_PROCESSED) && defined(NUM_PLANES_PROCESSED)</span></div><div class="line"><a name="l01872"></a><span class="lineno"> 1872</span> <span class="preprocessor">#endif // defined(VEC_SIZE) && defined(SRC_DIM_2) && defined(CONV_PAD_TOP) && defined(CONV_PAD_LEFT) && defined(DATA_TYPE)</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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00159">helpers.h:159</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00328">helpers.h:328</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_aa8d95ba04fc73845abc6045952cae5be"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a></div><div class="ttdeci">#define CONVERT(x, type)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00079">helpers.h:79</a></div></div>
+<div class="ttc" id="activation__float__helpers_8h_xhtml"><div class="ttname"><a href="activation__float__helpers_8h.xhtml">activation_float_helpers.h</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="namespacearm__compute_1_1test_1_1validation_xhtml_aa76b4a6e74940dabc5b7fc6b2dab3545"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">arm_compute::test::validation::b</a></div><div class="ttdeci">SimpleTensor< float > b</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_d_f_t_8cpp_source.xhtml#l00157">DFT.cpp:157</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a73e2825fd61d349c5ca2f5313e3c8ea1"><div class="ttname"><a href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">arm_compute::half</a></div><div class="ttdeci">half_float::half half</div><div class="ttdoc">16-bit floating point type</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00044">Types.h:44</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a22f42fcf2077d951271df83b55c1a71a"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a></div><div class="ttdeci">#define IMAGE_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00077">helpers.h:77</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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00160">helpers.h:160</a></div></div>
-<div class="ttc" id="depthwise__convolution_8cl_xhtml_a150fbfa48767f3bf602b812f8ecb3ad9"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#a150fbfa48767f3bf602b812f8ecb3ad9">ACTIVATION_FUNC</a></div><div class="ttdeci">#define ACTIVATION_FUNC(x)</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00033">depthwise_convolution.cl:33</a></div></div>
-<div class="ttc" id="depthwise__convolution_8cl_xhtml_a0916b921e5c01cc64afede6dc7bd5caa"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a></div><div class="ttdeci">#define CONVOLUTION1x3_BIFROST4X1_STRIDE1(acc, src0_left, src0_mid, src0_right, weights_row0)</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00127">depthwise_convolution.cl:127</a></div></div>
-<div class="ttc" id="activation__helpers_8h_xhtml"><div class="ttname"><a href="activation__helpers_8h.xhtml">activation_helpers.h</a></div></div>
-<div class="ttc" id="depthwise__convolution_8cl_xhtml_ac353c0687abd8c71a4fa096d322b39ec"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#ac353c0687abd8c71a4fa096d322b39ec">in_stride_y</a></div><div class="ttdeci">#define in_stride_y</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00794">depthwise_convolution.cl:794</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a79e8e562daa6599317d2d1cd86ef1bf2"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00132">helpers.h:132</a></div></div>
-<div class="ttc" id="depthwise__convolution_8cl_xhtml_a2da35283a28c35fd9f8b0d534e5a5a44"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44">CONVOLUTION1x3_BIFROST2X1_STRIDE2</a></div><div class="ttdeci">#define CONVOLUTION1x3_BIFROST2X1_STRIDE2(acc, src0_left, src0_mid, src0_right, weights_row0)</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00117">depthwise_convolution.cl:117</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a527bfdf5eeb306f1cf01c4a8e29f38e0"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_VECTOR_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00107">helpers.h:107</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a541f8db866a0fa93ee67d58ea31a7d0c"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a></div><div class="ttdeci">#define CONVERT_TENSOR3D_TO_IMAGE_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00125">helpers.h:125</a></div></div>
-<div class="ttc" id="depthwise__convolution_8cl_xhtml_a128f47cb6aacde29e07fde2c4b9f5dd2"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#a128f47cb6aacde29e07fde2c4b9f5dd2">out_stride_z</a></div><div class="ttdeci">#define out_stride_z</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00798">depthwise_convolution.cl:798</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a40a6eb9f2a7712f08d6bb8ff6c9e6ca7"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a></div><div class="ttdeci">#define VECTOR_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00071">helpers.h:71</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a22f42fcf2077d951271df83b55c1a71a"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a></div><div class="ttdeci">#define IMAGE_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00093">helpers.h:93</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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00176">helpers.h:176</a></div></div>
+<div class="ttc" id="depthwise__convolution_8cl_xhtml_a0916b921e5c01cc64afede6dc7bd5caa"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#a0916b921e5c01cc64afede6dc7bd5caa">CONVOLUTION1x3_BIFROST4X1_STRIDE1</a></div><div class="ttdeci">#define CONVOLUTION1x3_BIFROST4X1_STRIDE1(acc, src0_left, src0_mid, src0_right, weights_row0)</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00120">depthwise_convolution.cl:120</a></div></div>
+<div class="ttc" id="depthwise__convolution_8cl_xhtml_ac353c0687abd8c71a4fa096d322b39ec"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#ac353c0687abd8c71a4fa096d322b39ec">in_stride_y</a></div><div class="ttdeci">#define in_stride_y</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00795">depthwise_convolution.cl:795</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a79e8e562daa6599317d2d1cd86ef1bf2"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00148">helpers.h:148</a></div></div>
+<div class="ttc" id="depthwise__convolution_8cl_xhtml_a2da35283a28c35fd9f8b0d534e5a5a44"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#a2da35283a28c35fd9f8b0d534e5a5a44">CONVOLUTION1x3_BIFROST2X1_STRIDE2</a></div><div class="ttdeci">#define CONVOLUTION1x3_BIFROST2X1_STRIDE2(acc, src0_left, src0_mid, src0_right, weights_row0)</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00110">depthwise_convolution.cl:110</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a527bfdf5eeb306f1cf01c4a8e29f38e0"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_VECTOR_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00123">helpers.h:123</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a541f8db866a0fa93ee67d58ea31a7d0c"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a></div><div class="ttdeci">#define CONVERT_TENSOR3D_TO_IMAGE_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00141">helpers.h:141</a></div></div>
+<div class="ttc" id="depthwise__convolution_8cl_xhtml_a128f47cb6aacde29e07fde2c4b9f5dd2"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#a128f47cb6aacde29e07fde2c4b9f5dd2">out_stride_z</a></div><div class="ttdeci">#define out_stride_z</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00799">depthwise_convolution.cl:799</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a40a6eb9f2a7712f08d6bb8ff6c9e6ca7"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a></div><div class="ttdeci">#define VECTOR_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00087">helpers.h:87</a></div></div>
<div class="ttc" id="convolution3x3_8cl_xhtml_afc5fefe72e66f0ae5191fd5b708fade9"><div class="ttname"><a href="convolution3x3_8cl.xhtml#afc5fefe72e66f0ae5191fd5b708fade9">convolution3x3</a></div><div class="ttdeci">short8 convolution3x3(Image *src, const short mat0, const short mat1, const short mat2, const short mat3, const short mat4, const short mat5, const short mat6, const short mat7, const short mat8, uint scale)</div><div class="ttdoc">Apply a 3x3 convolution matrix to a single channel U8 input image and return the result.</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00081">convolution3x3.cl:81</a></div></div>
-<div class="ttc" id="struct_vector_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">Vector::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00145">helpers.h:145</a></div></div>
+<div class="ttc" id="struct_vector_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">Vector::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00161">helpers.h:161</a></div></div>
+<div class="ttc" id="activation__layer__quant_8cl_xhtml_ade2e33e6f303ce93468eef7e56d95c0c"><div class="ttname"><a href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a></div><div class="ttdeci">#define VEC_FLOAT</div><div class="ttdef"><b>Definition:</b> <a href="activation__layer__quant_8cl_source.xhtml#l00026">activation_layer_quant.cl:26</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_absolute_difference_8cpp_source.xhtml#l00102">AbsoluteDifference.cpp:102</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a3a77be8aebd8e00522b32061d46ccdbd"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">arm_compute::test::validation::bias</a></div><div class="ttdeci">CLTensor bias</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00181">ConvolutionLayer.cpp:181</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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00151">helpers.h:151</a></div></div>
-<div class="ttc" id="depthwise__convolution_8cl_xhtml_a5447e2c4e1aae8fff9290b775fe813ff"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#a5447e2c4e1aae8fff9290b775fe813ff">in_stride_x</a></div><div class="ttdeci">#define in_stride_x</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00793">depthwise_convolution.cl:793</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00128">helpers.h:128</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a7e4940407322d6f0ccb8b6b86b856019"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00301">helpers.h:301</a></div></div>
-<div class="ttc" id="depthwise__convolution_8cl_xhtml_aa18ba8a4892890c942fea83c5cad8dbc"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc">CONVOLUTION1x3_BIFROST4X1_STRIDE2</a></div><div class="ttdeci">#define CONVOLUTION1x3_BIFROST4X1_STRIDE2(acc, src0_left, src0_mid, src0_right, weights_row0)</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00143">depthwise_convolution.cl:143</a></div></div>
-<div class="ttc" id="depthwise__convolution_8cl_xhtml_a32137dd220c1110408a7b498108de2c5"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#a32137dd220c1110408a7b498108de2c5">in_stride_z</a></div><div class="ttdeci">#define in_stride_z</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00795">depthwise_convolution.cl:795</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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00167">helpers.h:167</a></div></div>
+<div class="ttc" id="depthwise__convolution_8cl_xhtml_a5447e2c4e1aae8fff9290b775fe813ff"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#a5447e2c4e1aae8fff9290b775fe813ff">in_stride_x</a></div><div class="ttdeci">#define in_stride_x</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00794">depthwise_convolution.cl:794</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00144">helpers.h:144</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a7e4940407322d6f0ccb8b6b86b856019"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00317">helpers.h:317</a></div></div>
+<div class="ttc" id="depthwise__convolution_8cl_xhtml_aa18ba8a4892890c942fea83c5cad8dbc"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#aa18ba8a4892890c942fea83c5cad8dbc">CONVOLUTION1x3_BIFROST4X1_STRIDE2</a></div><div class="ttdeci">#define CONVOLUTION1x3_BIFROST4X1_STRIDE2(acc, src0_left, src0_mid, src0_right, weights_row0)</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00136">depthwise_convolution.cl:136</a></div></div>
+<div class="ttc" id="depthwise__convolution_8cl_xhtml_a32137dd220c1110408a7b498108de2c5"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#a32137dd220c1110408a7b498108de2c5">in_stride_z</a></div><div class="ttdeci">#define in_stride_z</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00796">depthwise_convolution.cl:796</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1support_1_1cpp11_xhtml_af399bedeaeb8dc177d3a301a12c3a5d0"><div class="ttname"><a href="namespacearm__compute_1_1support_1_1cpp11.xhtml#af399bedeaeb8dc177d3a301a12c3a5d0">arm_compute::support::cpp11::fma</a></div><div class="ttdeci">T fma(T x, T y, T z)</div><div class="ttdoc">Computes (x*y) + z as if to infinite precision and rounded only once to fit the result type.</div><div class="ttdef"><b>Definition:</b> <a href="_toolchain_support_8h_source.xhtml#l00336">ToolchainSupport.h:336</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml">helpers.h</a></div></div>
-<div class="ttc" id="depthwise__convolution_8cl_xhtml_ac8b6b732372937bba276e6391944d1e1"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#ac8b6b732372937bba276e6391944d1e1">out_stride_y</a></div><div class="ttdeci">#define out_stride_y</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00797">depthwise_convolution.cl:797</a></div></div>
+<div class="ttc" id="depthwise__convolution_8cl_xhtml_ac8b6b732372937bba276e6391944d1e1"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#ac8b6b732372937bba276e6391944d1e1">out_stride_y</a></div><div class="ttdeci">#define out_stride_y</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00798">depthwise_convolution.cl:798</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00180">ConvolutionLayer.cpp:180</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_acb282042d1edeeaa3cc979a206f78b54"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a></div><div class="ttdeci">#define VSTORE(size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00051">helpers.h:51</a></div></div>
-<div class="ttc" id="depthwise__convolution_8cl_xhtml_a68fce1f0ee4080ed89c9427496d625f2"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#a68fce1f0ee4080ed89c9427496d625f2">out_stride_x</a></div><div class="ttdeci">#define out_stride_x</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00796">depthwise_convolution.cl:796</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a481bdc6d61b3df9dcdbdb244f0f97790"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a></div><div class="ttdeci">#define TENSOR4D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00095">helpers.h:95</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a287e2fc366c312b468382c95bb90f91f"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a></div><div class="ttdeci">#define VLOAD(size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00048">helpers.h:48</a></div></div>
-<div class="ttc" id="depthwise__convolution_8cl_xhtml_a4201b7aeda129409f16dd5a5cfe56450"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a></div><div class="ttdeci">__global uchar * ptr_offset(__global uchar *ptr, const int x, const int y, const int stride_x, const int stride_y)</div><div class="ttdoc">Get the pointer position at a certain offset in x and y direction.</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00046">depthwise_convolution.cl:46</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a6b83038822d1ae7ab619b684ed3b7fc0"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a></div><div class="ttdeci">#define TENSOR3D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00085">helpers.h:85</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a64d779f80eeb923e0ab2313433f7b40b"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00110">helpers.h:110</a></div></div>
-<div class="ttc" id="activation__layer__qa8_8cl_xhtml_ade2e33e6f303ce93468eef7e56d95c0c"><div class="ttname"><a href="activation__layer__qa8_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a></div><div class="ttdeci">#define VEC_FLOAT</div><div class="ttdef"><b>Definition:</b> <a href="activation__layer__qa8_8cl_source.xhtml#l00027">activation_layer_qa8.cl:27</a></div></div>
-<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a989ab3e96426615bb98e04e0235088ca"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">arm_compute::test::validation::src</a></div><div class="ttdeci">cast configure & src</div><div class="ttdef"><b>Definition:</b> <a href="_cast_8cpp_source.xhtml#l00169">Cast.cpp:169</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_acb282042d1edeeaa3cc979a206f78b54"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a></div><div class="ttdeci">#define VSTORE(size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00056">helpers.h:56</a></div></div>
+<div class="ttc" id="depthwise__convolution_8cl_xhtml_a68fce1f0ee4080ed89c9427496d625f2"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#a68fce1f0ee4080ed89c9427496d625f2">out_stride_x</a></div><div class="ttdeci">#define out_stride_x</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00797">depthwise_convolution.cl:797</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a481bdc6d61b3df9dcdbdb244f0f97790"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a></div><div class="ttdeci">#define TENSOR4D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00111">helpers.h:111</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a287e2fc366c312b468382c95bb90f91f"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a></div><div class="ttdeci">#define VLOAD(size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00053">helpers.h:53</a></div></div>
+<div class="ttc" id="depthwise__convolution_8cl_xhtml_a4201b7aeda129409f16dd5a5cfe56450"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#a4201b7aeda129409f16dd5a5cfe56450">ptr_offset</a></div><div class="ttdeci">__global uchar * ptr_offset(__global uchar *ptr, const int x, const int y, const int stride_x, const int stride_y)</div><div class="ttdoc">Get the pointer position at a certain offset in x and y direction.</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00039">depthwise_convolution.cl:39</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a6b83038822d1ae7ab619b684ed3b7fc0"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a></div><div class="ttdeci">#define TENSOR3D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00101">helpers.h:101</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a64d779f80eeb923e0ab2313433f7b40b"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00126">helpers.h:126</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a989ab3e96426615bb98e04e0235088ca"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">arm_compute::test::validation::src</a></div><div class="ttdeci">cast configure & src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_cast_8cpp_source.xhtml#l00169">Cast.cpp:169</a></div></div>
+<div class="ttc" id="activation__float__helpers_8h_xhtml_abbc420da5dec17216bb014c05ad65304"><div class="ttname"><a href="activation__float__helpers_8h.xhtml#abbc420da5dec17216bb014c05ad65304">ACTIVATION</a></div><div class="ttdeci">#define ACTIVATION(op, DATA_TYPE, x, A_VAL, B_VAL)</div><div class="ttdef"><b>Definition:</b> <a href="activation__float__helpers_8h_source.xhtml#l00070">activation_float_helpers.h:70</a></div></div>
<div class="ttc" id="convolution3x3_8cl_xhtml_a92702074338198e81a46c3e309d9b04f"><div class="ttname"><a href="convolution3x3_8cl.xhtml#a92702074338198e81a46c3e309d9b04f">convolution1x3</a></div><div class="ttdeci">short8 convolution1x3(__global const uchar *left_pixel, const short left_coeff, const short middle_coeff, const short right_coeff)</div><div class="ttdoc">Compute a 1D horizontal convolution of size 3 for 8 bytes assuming the input is made of 1 channel of ...</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00043">convolution3x3.cl:43</a></div></div>
-<div class="ttc" id="depthwise__convolution_8cl_xhtml_ae40b0f25b3985d4853b944151ffddb44"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a></div><div class="ttdeci">#define CONVOLUTION1x3_BIFROST2X1_STRIDE1(acc, src0_left, src0_mid, src0_right, weights_row0)</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00107">depthwise_convolution.cl:107</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a36f754c05b6fddf6df0d8d0a74f8159f"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a></div><div class="ttdeci">#define VEC_DATA_TYPE(type, size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00057">helpers.h:57</a></div></div>
+<div class="ttc" id="depthwise__convolution_8cl_xhtml_ae40b0f25b3985d4853b944151ffddb44"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#ae40b0f25b3985d4853b944151ffddb44">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a></div><div class="ttdeci">#define CONVOLUTION1x3_BIFROST2X1_STRIDE1(acc, src0_left, src0_mid, src0_right, weights_row0)</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00100">depthwise_convolution.cl:100</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a36f754c05b6fddf6df0d8d0a74f8159f"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a></div><div class="ttdeci">#define VEC_DATA_TYPE(type, size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00073">helpers.h:73</a></div></div>
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