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Jenkinsb3a371b2018-05-23 11:36:53 +0100120<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>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="helpers_8h.xhtml">helpers.h</a>&quot;</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#if defined(DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="preprocessor">#if defined(CONV_STRIDE_X)</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="preprocessor">#if CONV_STRIDE_X == 1</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#define convolution1x3 convolution1x3_stride_1</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="preprocessor">#elif CONV_STRIDE_X == 2</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="preprocessor">#define convolution1x3 convolution1x3_stride_2</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="preprocessor">#elif CONV_STRIDE_X == 3</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="preprocessor">#define convolution1x3 convolution1x3_stride_3</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* CONV_STRIDE_X */</span><span class="preprocessor"></span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="preprocessor">#error &quot;Stride not supported&quot;</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* CONV_STRIDE_X */</span><span class="preprocessor"></span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;<span class="keyword">inline</span> float2 convolution1x3_stride_1(__global <span class="keyword">const</span> uchar *left_pixel,</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> left_coeff,</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> middle_coeff,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> right_coeff)</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;{</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; float4 temp = vload4(0, (__global <span class="keywordtype">float</span> *)left_pixel);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; float2 left = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s01, float2);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; float2 middle = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s12, float2);</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; float2 right = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s23, float2);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="keywordflow">return</span> left * (float2)left_coeff + middle * (float2)middle_coeff + right * (float2)right_coeff;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;}</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;inline float2 convolution1x3_stride_2(__global const uchar *left_pixel,</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; const <span class="keywordtype">float</span> left_coeff,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; const <span class="keywordtype">float</span> middle_coeff,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; const <span class="keywordtype">float</span> right_coeff)</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;{</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; float4 temp0 = vload4(0, (__global <span class="keywordtype">float</span> *)left_pixel);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <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="l00079"></a><span class="lineno"> 79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; float2 left = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s02, float2);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; float2 middle = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s13, float2);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; float2 right = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((float2)(temp0.s2, temp1), float2);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keywordflow">return</span> left * (float2)left_coeff + middle * (float2)middle_coeff + right * (float2)right_coeff;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;}</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160;inline float2 convolution1x3_stride_3(__global const uchar *left_pixel,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; const <span class="keywordtype">float</span> left_coeff,</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; const <span class="keywordtype">float</span> middle_coeff,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; const <span class="keywordtype">float</span> right_coeff)</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;{</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; float4 temp0 = vload4(0, (__global <span class="keywordtype">float</span> *)left_pixel);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; 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="l00103"></a><span class="lineno"> 103</span>&#160;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; float2 left = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s03, float2);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; float2 middle = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((float2)(temp0.s1, temp1.s0), float2);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; float2 right = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((float2)(temp0.s2, temp1.s1), float2);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="keywordflow">return</span> left * (float2)left_coeff + middle * (float2)middle_coeff + right * (float2)right_coeff;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160;}</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160;inline float2 <a class="code" href="convolution3x3_8cl.xhtml#afc5fefe72e66f0ae5191fd5b708fade9">convolution3x3</a>(</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; const <span class="keywordtype">float</span> mat0, const <span class="keywordtype">float</span> mat1, const <span class="keywordtype">float</span> mat2,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; const <span class="keywordtype">float</span> mat3, const <span class="keywordtype">float</span> mat4, const <span class="keywordtype">float</span> mat5,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; const <span class="keywordtype">float</span> mat6, const <span class="keywordtype">float</span> mat7, const <span class="keywordtype">float</span> mat8)</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160;{</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; float2 pixels;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; pixels = <a class="code" href="convolution3x3_8cl.xhtml#a92702074338198e81a46c3e309d9b04f">convolution1x3</a>(<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(src, 0, 0), mat0, mat1, mat2);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; pixels += <a class="code" href="convolution3x3_8cl.xhtml#a92702074338198e81a46c3e309d9b04f">convolution1x3</a>(<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(src, 0, 1), mat3, mat4, mat5);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; pixels += <a class="code" href="convolution3x3_8cl.xhtml#a92702074338198e81a46c3e309d9b04f">convolution1x3</a>(<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(src, 0, 2), mat6, mat7, mat8);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <span class="keywordflow">return</span> pixels;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;}</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160;__kernel <span class="keywordtype">void</span> depthwise_convolution_3x3(</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(weights)</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160;#<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; ,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160;#endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160;)</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160;{</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> src = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; <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="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(dst);</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> weights = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(weights);</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160;<span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160;<span class="preprocessor">#endif //defined(HAS_BIAS)</span></div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; src.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> -= (get_global_id(2) - get_global_id(2) / DEPTH_MULTIPLIER) * src_step_z;</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; uchar3 <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = (uchar3)(0, 1, 2) * (uchar3)weights_stride_y;</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; float3 weights_values0 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + offset.s0));</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; float3 weights_values1 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + offset.s1));</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; float3 weights_values2 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + offset.s2));</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; float2 pixels = <a class="code" href="convolution3x3_8cl.xhtml#afc5fefe72e66f0ae5191fd5b708fade9">convolution3x3</a>(&amp;src, weights_values0.s0, weights_values0.s1, weights_values0.s2,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; weights_values1.s0, weights_values1.s1, weights_values1.s2,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; weights_values2.s0, weights_values2.s1, weights_values2.s2);</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160;<span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; pixels += (float2)(*((__global <span class="keywordtype">float</span> *)(biases.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + get_global_id(2) * biases_stride_x)));</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160;<span class="preprocessor">#endif //defined(HAS_BIAS)</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; vstore2(pixels, 0, (__global <span class="keywordtype">float</span> *)dst.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160;}</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160;<span class="preprocessor">#endif //defined(CONV_STRIDE_X)</span></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160;<span class="preprocessor">#define CONVOLUTION1x3_BIFROST2X1_STRIDE1(acc, src0, weights_row0) \</span></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160;<span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160;<span class="preprocessor"> acc.s0 = fma(src0.s0, weights_row0.s0, acc.s0); \</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160;<span class="preprocessor"> acc.s0 = fma(src0.s1, weights_row0.s1, acc.s0); \</span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160;<span class="preprocessor"> acc.s0 = fma(src0.s2, weights_row0.s2, acc.s0); \</span></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160;<span class="preprocessor"> acc.s1 = fma(src0.s1, weights_row0.s0, acc.s1); \</span></div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160;<span class="preprocessor"> acc.s1 = fma(src0.s2, weights_row0.s1, acc.s1); \</span></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160;<span class="preprocessor"> acc.s1 = fma(src0.s3, weights_row0.s2, acc.s1); \</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160;<span class="preprocessor"> })</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160;<span class="preprocessor">#define CONVOLUTION1x3_BIFROST4X1_STRIDE1(acc, src0, weights_row0) \</span></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160;<span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160;<span class="preprocessor"> acc.s0 = fma(src0.s0, weights_row0.s0, acc.s0); \</span></div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160;<span class="preprocessor"> acc.s0 = fma(src0.s1, weights_row0.s1, acc.s0); \</span></div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160;<span class="preprocessor"> acc.s0 = fma(src0.s2, weights_row0.s2, acc.s0); \</span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160;<span class="preprocessor"> acc.s1 = fma(src0.s1, weights_row0.s0, acc.s1); \</span></div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160;<span class="preprocessor"> acc.s1 = fma(src0.s2, weights_row0.s1, acc.s1); \</span></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160;<span class="preprocessor"> acc.s1 = fma(src0.s3, weights_row0.s2, acc.s1); \</span></div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160;<span class="preprocessor"> acc.s2 = fma(src0.s2, weights_row0.s0, acc.s2); \</span></div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;<span class="preprocessor"> acc.s2 = fma(src0.s3, weights_row0.s1, acc.s2); \</span></div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160;<span class="preprocessor"> acc.s2 = fma(src0.s4, weights_row0.s2, acc.s2); \</span></div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160;<span class="preprocessor"> acc.s3 = fma(src0.s3, weights_row0.s0, acc.s3); \</span></div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160;<span class="preprocessor"> acc.s3 = fma(src0.s4, weights_row0.s1, acc.s3); \</span></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160;<span class="preprocessor"> acc.s3 = fma(src0.s5, weights_row0.s2, acc.s3); \</span></div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160;<span class="preprocessor"> })</span></div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160;</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160;<span class="preprocessor">#define CONVOLUTION1x3_BIFROST2X1_STRIDE2(acc, src0, src1, weights_row0) \</span></div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160;<span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160;<span class="preprocessor"> acc.s0 = fma(src0.s0, weights_row0.s0, acc.s0); \</span></div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160;<span class="preprocessor"> acc.s0 = fma(src0.s1, weights_row0.s1, acc.s0); \</span></div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160;<span class="preprocessor"> acc.s0 = fma(src0.s2, weights_row0.s2, acc.s0); \</span></div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160;<span class="preprocessor"> acc.s1 = fma(src0.s2, weights_row0.s0, acc.s1); \</span></div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160;<span class="preprocessor"> acc.s1 = fma(src0.s3, weights_row0.s1, acc.s1); \</span></div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160;<span class="preprocessor"> acc.s1 = fma(src1.s0, weights_row0.s2, acc.s1); \</span></div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160;<span class="preprocessor"> })</span></div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160;</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160;<span class="preprocessor">#define CONVOLUTION1x3_BIFROST4X1_STRIDE2(acc, src0, src1, weights_row0) \</span></div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160;<span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160;<span class="preprocessor"> acc.s0 = fma(src0.s0, weights_row0.s0, acc.s0); \</span></div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160;<span class="preprocessor"> acc.s0 = fma(src0.s1, weights_row0.s1, acc.s0); \</span></div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160;<span class="preprocessor"> acc.s0 = fma(src0.s2, weights_row0.s2, acc.s0); \</span></div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160;<span class="preprocessor"> acc.s1 = fma(src0.s2, weights_row0.s0, acc.s1); \</span></div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160;<span class="preprocessor"> acc.s1 = fma(src0.s3, weights_row0.s1, acc.s1); \</span></div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160;<span class="preprocessor"> acc.s1 = fma(src0.s4, weights_row0.s2, acc.s1); \</span></div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160;<span class="preprocessor"> acc.s2 = fma(src0.s4, weights_row0.s0, acc.s2); \</span></div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160;<span class="preprocessor"> acc.s2 = fma(src0.s5, weights_row0.s1, acc.s2); \</span></div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160;<span class="preprocessor"> acc.s2 = fma(src0.s6, weights_row0.s2, acc.s2); \</span></div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160;<span class="preprocessor"> acc.s3 = fma(src0.s6, weights_row0.s0, acc.s3); \</span></div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160;<span class="preprocessor"> acc.s3 = fma(src0.s7, weights_row0.s1, acc.s3); \</span></div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160;<span class="preprocessor"> acc.s3 = fma(src1.s0, weights_row0.s2, acc.s3); \</span></div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160;<span class="preprocessor"> })</span></div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160;</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160;__kernel <span class="keywordtype">void</span> depthwise_convolution_3x3_stridex1_stridey1_bifrost_f32(</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(dst),</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(weights)</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160;#<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; ,</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160;#endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160;)</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160;{</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> src = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> dst = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(dst);</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> weights = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(weights);</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160;</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; float2 pixels0 = 0.0f;</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; float2 pixels1 = 0.0f;</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; float2 pixels2 = 0.0f;</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; float2 pixels3 = 0.0f;</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160;</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; __global uchar *weights_addr = (__global uchar *)weights.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>;</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; __global uchar *src_addr = src.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> - (get_global_id(2) - get_global_id(2) / DEPTH_MULTIPLIER) * src_step_z;</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160;</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; <span class="comment">// Load the weights</span></div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; float3 weights_row0 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 0 * weights_stride_y));</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; float3 weights_row1 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 1 * weights_stride_y));</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; float3 weights_row2 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 2 * weights_stride_y));</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160;</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160; <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="l00326"></a><span class="lineno"> 326</span>&#160; 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="l00327"></a><span class="lineno"> 327</span>&#160; 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="l00328"></a><span class="lineno"> 328</span>&#160; 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="l00329"></a><span class="lineno"> 329</span>&#160; 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="l00330"></a><span class="lineno"> 330</span>&#160; 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="l00331"></a><span class="lineno"> 331</span>&#160; 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="l00332"></a><span class="lineno"> 332</span>&#160;</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels0, src00, weights_row0);</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels0, src10, weights_row1);</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels0, src20, weights_row2);</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels1, src10, weights_row0);</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels1, src20, weights_row1);</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels1, src30, weights_row2);</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels2, src20, weights_row0);</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160; CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels2, src30, weights_row1);</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels2, src40, weights_row2);</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels3, src30, weights_row0);</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels3, src40, weights_row1);</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; CONVOLUTION1x3_BIFROST2X1_STRIDE1(pixels3, src50, weights_row2);</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160;</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160;<span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160;</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; <span class="keywordtype">float</span> bias = *((__global <span class="keywordtype">float</span> *)(<a class="code" href="helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&amp;biases, get_global_id(2))));</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160;</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; pixels0 += (float2)bias;</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; pixels1 += (float2)bias;</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; pixels2 += (float2)bias;</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; pixels3 += (float2)bias;</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160;</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160; vstore2(pixels0, 0, (__global <span class="keywordtype">float</span> *)(dst.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + 0 * dst_stride_y));</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160; vstore2(pixels1, 0, (__global <span class="keywordtype">float</span> *)(dst.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + 1 * dst_stride_y));</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160; vstore2(pixels2, 0, (__global <span class="keywordtype">float</span> *)(dst.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + 2 * dst_stride_y));</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; vstore2(pixels3, 0, (__global <span class="keywordtype">float</span> *)(dst.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + 3 * dst_stride_y));</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160;}</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160;</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160;__kernel <span class="keywordtype">void</span> depthwise_convolution_3x3_stridex2_stridey2_bifrost_f32(</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(dst),</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(weights)</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160;#<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160; ,</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160; <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160;#endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160;)</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160;{</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> src = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> dst = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(dst);</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> weights = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(weights);</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160;</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160; float2 pixels0 = 0.0f;</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; float2 pixels1 = 0.0f;</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160;</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160; __global uchar *weights_addr = (__global uchar *)weights.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>;</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160; __global uchar *src_addr = src.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> - (get_global_id(2) - get_global_id(2) / DEPTH_MULTIPLIER) * src_step_z;</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160;</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160; <span class="comment">// Load the weights</span></div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160; float3 weights_row0 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 0 * weights_stride_y));</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160; float3 weights_row1 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 1 * weights_stride_y));</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160; float3 weights_row2 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 2 * weights_stride_y));</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160;</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>&#160; <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="l00421"></a><span class="lineno"> 421</span>&#160; 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="l00422"></a><span class="lineno"> 422</span>&#160; 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="l00423"></a><span class="lineno"> 423</span>&#160; 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="l00424"></a><span class="lineno"> 424</span>&#160; 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="l00425"></a><span class="lineno"> 425</span>&#160; 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="l00426"></a><span class="lineno"> 426</span>&#160; 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="l00427"></a><span class="lineno"> 427</span>&#160; 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="l00428"></a><span class="lineno"> 428</span>&#160; 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="l00429"></a><span class="lineno"> 429</span>&#160; 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="l00430"></a><span class="lineno"> 430</span>&#160; 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="l00431"></a><span class="lineno"> 431</span>&#160;</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>&#160; CONVOLUTION1x3_BIFROST2X1_STRIDE2(pixels0, src00, src01, weights_row0);</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>&#160; CONVOLUTION1x3_BIFROST2X1_STRIDE2(pixels0, src10, src11, weights_row1);</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>&#160; CONVOLUTION1x3_BIFROST2X1_STRIDE2(pixels0, src20, src21, weights_row2);</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160; CONVOLUTION1x3_BIFROST2X1_STRIDE2(pixels1, src20, src21, weights_row0);</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>&#160; CONVOLUTION1x3_BIFROST2X1_STRIDE2(pixels1, src30, src31, weights_row1);</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160; CONVOLUTION1x3_BIFROST2X1_STRIDE2(pixels1, src40, src41, weights_row2);</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160;</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160;<span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160; <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>&#160;</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160; <span class="keywordtype">float</span> bias = *((__global <span class="keywordtype">float</span> *)(<a class="code" href="helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&amp;biases, get_global_id(2))));</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>&#160;</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>&#160; pixels0 += (float2)bias;</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>&#160; pixels1 += (float2)bias;</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>&#160;</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160; vstore2(pixels0, 0, (__global <span class="keywordtype">float</span> *)(dst.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + 0 * dst_stride_y));</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160; vstore2(pixels1, 0, (__global <span class="keywordtype">float</span> *)(dst.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + 1 * dst_stride_y));</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160;}</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>&#160;</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>&#160;<span class="preprocessor">#endif // defined(DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>&#160;</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>&#160;<span class="preprocessor">#if defined(SRC_WIDTH) &amp;&amp; defined(DATA_TYPE)</span></div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>&#160;</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160;__kernel <span class="keywordtype">void</span> depthwise_weights_reshape(</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>&#160; <a class="code" href="helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(dst)</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>&#160;#ifdef HAS_BIAS</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>&#160; ,</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>&#160; <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160;#endif <span class="comment">/* HAS_BIAS */</span></div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>&#160;)</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>&#160;{</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> src = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(src);</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>&#160;<span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>&#160; <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* HAS_BIAS */</span><span class="preprocessor"></span></div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>&#160;</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>&#160; __global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *input_ptr = (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)src.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>;</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>&#160; __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="l00494"></a><span class="lineno"> 494</span>&#160;</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i &lt; SRC_WIDTH; ++i, ++input_ptr)</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>&#160; {</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(output_ptr + i * dst_stride_x)) = *input_ptr;</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>&#160; }</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160;</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>&#160;<span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>&#160; <span class="keywordflow">if</span>(get_global_id(1) == 0)</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>&#160; {</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>&#160; *((__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="l00504"></a><span class="lineno"> 504</span>&#160; }</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160;<span class="preprocessor">#endif // defined(HAS_BIAS)</span></div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>&#160;}</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>&#160;<span class="preprocessor">#endif //defined(SRC_WIDTH) &amp;&amp; defined(DATA_TYPE)</span></div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>&#160;</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>&#160;<span class="preprocessor">#if defined(STRIDE_X) &amp;&amp; defined(STRIDE_Y) &amp;&amp; defined(PAD_LEFT) &amp;&amp; defined(PAD_TOP) &amp;&amp; defined(PAD_RIGHT) &amp;&amp; defined(PAD_BOTTOM) &amp;&amp; defined(KERNEL_WIDTH) &amp;&amp; defined(KERNEL_HEIGHT) &amp;&amp; defined(SRC_WIDTH) &amp;&amp; defined(SRC_HEIGHT) &amp;&amp; defined(DATA_TYPE) &amp;&amp; defined(PAD_VALUE) &amp;&amp; defined(DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>&#160;</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>&#160;__kernel <span class="keywordtype">void</span> depthwise_im2col(<a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src), <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(dst))</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>&#160;{</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> dst = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(dst);</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>&#160;</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>&#160; <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="l00537"></a><span class="lineno"> 537</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> full_length = SRC_WIDTH + PAD_LEFT + PAD_RIGHT;</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> max_initial_x = STRIDE_X * (((full_length - KERNEL_WIDTH) / STRIDE_X) + 1);</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>&#160;</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>&#160; <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="l00541"></a><span class="lineno"> 541</span>&#160; <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="l00542"></a><span class="lineno"> 542</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> src_z = get_global_id(2) / DEPTH_MULTIPLIER;</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>&#160;</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>&#160; __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + src_z * src_stride_z;</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>&#160; __global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *output_ptr = ((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>));</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>&#160;</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = src_y; y &lt; src_y + KERNEL_HEIGHT; ++y)</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>&#160; {</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = src_x; x &lt; src_x + KERNEL_WIDTH; ++x, ++output_ptr)</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>&#160; {</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>&#160; <span class="keywordflow">if</span>(x &lt; 0 || x &gt;= SRC_WIDTH || y &lt; 0 || y &gt;= SRC_HEIGHT)</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>&#160; {</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>&#160; *output_ptr = PAD_VALUE;</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>&#160; }</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>&#160; {</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>&#160; *output_ptr = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(input_ptr + x * src_stride_x + y * src_stride_y));</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>&#160; }</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>&#160; }</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>&#160; }</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>&#160;<span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>&#160; *output_ptr = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)(1);</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>&#160;<span class="preprocessor">#endif // defined(HAS_BIAS)</span></div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>&#160;}</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>&#160;</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>&#160;<span class="preprocessor">#endif //defined(STRIDE_X) &amp;&amp; defined(STRIDE_Y) &amp;&amp; defined(PAD_LEFT) &amp;&amp; defined(PAD_TOP) &amp;&amp; defined(PAD_RIGHT) &amp;&amp; defined(PAD_BOTTOM) &amp;&amp; defined(KERNEL_WIDTH) &amp;&amp; defined(KERNEL_HEIGHT) &amp;&amp; defined(SRC_WIDTH) &amp;&amp; defined(DATA_TYPE) &amp;&amp; defined(PAD_VALUE) &amp;&amp; defined(DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>&#160;</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>&#160;<span class="preprocessor">#if defined(CONV_WIDTH) &amp;&amp; defined(CONV_HEIGHT) &amp;&amp; defined(DATA_TYPE)</span></div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>&#160;</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>&#160;__kernel <span class="keywordtype">void</span> depthwise_vector_to_tensor(</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>&#160; <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(src),</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(dst))</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>&#160;{</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>&#160; <a class="code" href="struct_vector.xhtml">Vector</a> src = <a class="code" href="helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(src);</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>&#160;</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> patch_size = CONV_WIDTH * CONV_HEIGHT;</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> id0 = get_global_id(0);</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> z = id0 / patch_size;</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> index2D = id0 - z * patch_size;</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>&#160;</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>&#160; __global uchar *out_ptr = dst_ptr + dst_offset_first_element_in_bytes + index2D % CONV_WIDTH * dst_stride_x + index2D / CONV_WIDTH * dst_stride_y + z * dst_stride_z;</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>&#160; *((__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> *)src.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>&#160;}</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>&#160;</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>&#160;<span class="preprocessor">#endif //defined(CONV_WIDTH) &amp;&amp; defined(CONV_HEIGHT) &amp;&amp; defined(DATA_TYPE)</span></div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>&#160;</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>&#160;<span class="preprocessor">#if defined(ARM_COMPUTE_OPENCL_FP16_ENABLED) &amp;&amp; defined(DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>&#160;<span class="preprocessor">#if defined(CONV_STRIDE_X)</span></div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>&#160;<span class="preprocessor">#if CONV_STRIDE_X == 1</span></div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>&#160;<span class="preprocessor">#define convolution1x3_f16 convolution1x3_stride_1_f16</span></div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>&#160;<span class="preprocessor">#elif CONV_STRIDE_X == 2</span></div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>&#160;<span class="preprocessor">#define convolution1x3_f16 convolution1x3_stride_2_f16</span></div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>&#160;<span class="preprocessor">#elif CONV_STRIDE_X == 3</span></div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>&#160;<span class="preprocessor">#define convolution1x3_f16 convolution1x3_stride_3_f16</span></div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* CONV_STRIDE_X */</span><span class="preprocessor"></span></div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>&#160;<span class="preprocessor">#error &quot;Stride not supported&quot;</span></div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* CONV_STRIDE_X */</span><span class="preprocessor"></span></div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>&#160;</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>&#160;<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="l00627"></a><span class="lineno"> 627</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> left_coeff,</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> middle_coeff,</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> right_coeff)</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>&#160;{</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>&#160; half8 temp = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)left_pixel);</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>&#160;</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>&#160; half4 left = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s0123, half4);</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>&#160; half4 middle = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s1234, half4);</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>&#160; half4 right = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s2345, half4);</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>&#160;</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>&#160; <span class="keywordflow">return</span> left * (half4)left_coeff + middle * (half4)middle_coeff + right * (half4)right_coeff;</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>&#160;}</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>&#160;</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>&#160;inline half4 convolution1x3_stride_2_f16(__global const uchar *left_pixel,</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>&#160; const <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> left_coeff,</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>&#160; const <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> middle_coeff,</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>&#160; const <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> right_coeff)</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>&#160;{</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>&#160; half8 temp0 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)left_pixel);</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>&#160; <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="l00656"></a><span class="lineno"> 656</span>&#160;</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>&#160; half4 left = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s0246, half4);</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>&#160; half4 middle = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s1357, half4);</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>&#160; half4 right = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((half4)(temp0.s246, temp1), half4);</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>&#160;</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>&#160; <span class="keywordflow">return</span> left * (half4)left_coeff + middle * (half4)middle_coeff + right * (half4)right_coeff;</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>&#160;}</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>&#160;</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>&#160;inline half4 convolution1x3_stride_3_f16(__global const uchar *left_pixel,</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>&#160; const <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> left_coeff,</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>&#160; const <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> middle_coeff,</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>&#160; const <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> right_coeff)</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>&#160;{</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>&#160; half16 temp0 = vload16(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)left_pixel);</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>&#160;</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>&#160; half4 left = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s0369, half4);</div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>&#160; half4 middle = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s147A, half4);</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>&#160; half4 right = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s258B, half4);</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>&#160;</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>&#160; <span class="keywordflow">return</span> left * (half4)left_coeff + middle * (half4)middle_coeff + right * (half4)right_coeff;</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>&#160;}</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>&#160;</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>&#160;inline half4 convolution3x3_f16(</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> *src,</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>&#160; const <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat0, const <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat1, const <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat2,</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>&#160; const <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat3, const <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat4, const <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat5,</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>&#160; const <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat6, const <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat7, const <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat8)</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>&#160;{</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>&#160; half4 pixels;</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>&#160;</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>&#160; pixels = convolution1x3_f16(<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(src, 0, 0), mat0, mat1, mat2);</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>&#160; pixels += convolution1x3_f16(<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(src, 0, 1), mat3, mat4, mat5);</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>&#160; pixels += convolution1x3_f16(<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(src, 0, 2), mat6, mat7, mat8);</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>&#160;</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>&#160; <span class="keywordflow">return</span> pixels;</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>&#160;}</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>&#160;</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>&#160;<span class="preprocessor">#if defined(DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>&#160;</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>&#160;__kernel <span class="keywordtype">void</span> depthwise_convolution_3x3_f16(</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(dst),</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(weights)</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>&#160;#<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>&#160; ,</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>&#160; <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>&#160;#endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>&#160;)</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>&#160;{</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> src = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> dst = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(dst);</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> weights = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(weights);</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>&#160;<span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span>&#160; <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>&#160;<span class="preprocessor">#endif //defined(HAS_BIAS)</span></div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>&#160;</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>&#160; src.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> -= (get_global_id(2) - get_global_id(2) / DEPTH_MULTIPLIER) * src_step_z;</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span>&#160;</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span>&#160; uchar3 offset = (uchar3)(0, 1, 2) * (uchar3)weights_stride_y;</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span>&#160; half3 weights_values0 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + offset.s0));</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span>&#160; half3 weights_values1 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + offset.s1));</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>&#160; half3 weights_values2 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + offset.s2));</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span>&#160;</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>&#160; half4 pixels = convolution3x3_f16(&amp;src, weights_values0.s0, weights_values0.s1, weights_values0.s2,</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>&#160; weights_values1.s0, weights_values1.s1, weights_values1.s2,</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>&#160; weights_values2.s0, weights_values2.s1, weights_values2.s2);</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>&#160;<span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span>&#160; pixels += (half4)(*((__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</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="l00786"></a><span class="lineno"> 786</span>&#160;<span class="preprocessor">#endif //defined(HAS_BIAS)</span></div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>&#160;</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>&#160; vstore4(pixels, 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)dst.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>&#160;}</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>&#160;<span class="preprocessor">#endif // defined(DEPTH_MULTIPLIER)</span></div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span>&#160;<span class="preprocessor">#endif // defined(CONV_STRIDE_X)</span></div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>&#160;</div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span>&#160;__kernel <span class="keywordtype">void</span> depthwise_convolution_3x3_stridex1_stridey1_bifrost_f16(</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(dst),</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(weights)</div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>&#160;#<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span>&#160; ,</div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>&#160; <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span>&#160;#endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span>&#160;)</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span>&#160;{</div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> src = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> dst = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(dst);</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> weights = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(weights);</div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>&#160;</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span>&#160;<span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>&#160; <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span>&#160;</div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>&#160; <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> bias = *((__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(<a class="code" href="helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&amp;biases, get_global_id(2))));</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>&#160;</div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>&#160; half4 pixels0 = 0.0f;</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span>&#160; half4 pixels1 = 0.0f;</div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span>&#160; half4 pixels2 = 0.0f;</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>&#160; half4 pixels3 = 0.0f;</div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span>&#160;</div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>&#160; __global uchar *weights_addr = (__global uchar *)weights.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>;</div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span>&#160; __global uchar *src_addr = (__global uchar *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;src, 0, 0) - (get_global_id(2) - get_global_id(2) / DEPTH_MULTIPLIER) * src_step_z;</div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span>&#160;</div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span>&#160; <span class="comment">// Load the weights</span></div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>&#160; 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="l00855"></a><span class="lineno"> 855</span>&#160; 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="l00856"></a><span class="lineno"> 856</span>&#160; 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="l00857"></a><span class="lineno"> 857</span>&#160;</div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span>&#160; <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="l00859"></a><span class="lineno"> 859</span>&#160; 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="l00860"></a><span class="lineno"> 860</span>&#160; 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="l00861"></a><span class="lineno"> 861</span>&#160; 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="l00862"></a><span class="lineno"> 862</span>&#160; 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="l00863"></a><span class="lineno"> 863</span>&#160; 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="l00864"></a><span class="lineno"> 864</span>&#160; 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="l00865"></a><span class="lineno"> 865</span>&#160;</div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span>&#160; CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels0, src00, weights_row0);</div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span>&#160; CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels0, src10, weights_row1);</div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span>&#160; CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels0, src20, weights_row2);</div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span>&#160; CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels1, src10, weights_row0);</div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>&#160; CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels1, src20, weights_row1);</div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span>&#160; CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels1, src30, weights_row2);</div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span>&#160; CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels2, src20, weights_row0);</div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span>&#160; CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels2, src30, weights_row1);</div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span>&#160; CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels2, src40, weights_row2);</div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span>&#160; CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels3, src30, weights_row0);</div><div class="line"><a name="l00876"></a><span class="lineno"> 876</span>&#160; CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels3, src40, weights_row1);</div><div class="line"><a name="l00877"></a><span class="lineno"> 877</span>&#160; CONVOLUTION1x3_BIFROST4X1_STRIDE1(pixels3, src50, weights_row2);</div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span>&#160;</div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span>&#160;<span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span>&#160; pixels0 += (half4)bias;</div><div class="line"><a name="l00881"></a><span class="lineno"> 881</span>&#160; pixels1 += (half4)bias;</div><div class="line"><a name="l00882"></a><span class="lineno"> 882</span>&#160; pixels2 += (half4)bias;</div><div class="line"><a name="l00883"></a><span class="lineno"> 883</span>&#160; pixels3 += (half4)bias;</div><div class="line"><a name="l00884"></a><span class="lineno"> 884</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span>&#160;</div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span>&#160; vstore4(pixels0, 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(dst.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + 0 * dst_stride_y));</div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span>&#160; vstore4(pixels1, 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(dst.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + 1 * dst_stride_y));</div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span>&#160; vstore4(pixels2, 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(dst.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + 2 * dst_stride_y));</div><div class="line"><a name="l00889"></a><span class="lineno"> 889</span>&#160; vstore4(pixels3, 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(dst.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + 3 * dst_stride_y));</div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span>&#160;}</div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span>&#160;</div><div class="line"><a name="l00924"></a><span class="lineno"> 924</span>&#160;__kernel <span class="keywordtype">void</span> depthwise_convolution_3x3_stridex2_stridey2_bifrost_f16(</div><div class="line"><a name="l00925"></a><span class="lineno"> 925</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div><div class="line"><a name="l00926"></a><span class="lineno"> 926</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(dst),</div><div class="line"><a name="l00927"></a><span class="lineno"> 927</span>&#160; <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(weights)</div><div class="line"><a name="l00928"></a><span class="lineno"> 928</span>&#160;#<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l00929"></a><span class="lineno"> 929</span>&#160; ,</div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span>&#160; <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l00931"></a><span class="lineno"> 931</span>&#160;#endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l00932"></a><span class="lineno"> 932</span>&#160;)</div><div class="line"><a name="l00933"></a><span class="lineno"> 933</span>&#160;{</div><div class="line"><a name="l00934"></a><span class="lineno"> 934</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> src = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> dst = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(dst);</div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> weights = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(weights);</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span>&#160;</div><div class="line"><a name="l00938"></a><span class="lineno"> 938</span>&#160;<span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l00939"></a><span class="lineno"> 939</span>&#160; <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span>&#160;</div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span>&#160; <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> bias = *((__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(<a class="code" href="helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&amp;biases, get_global_id(2))));</div><div class="line"><a name="l00942"></a><span class="lineno"> 942</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span>&#160;</div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span>&#160; half4 pixels0 = 0.0f;</div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span>&#160; half4 pixels1 = 0.0f;</div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span>&#160;</div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span>&#160; __global uchar *weights_addr = (__global uchar *)weights.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>;</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span>&#160; __global uchar *src_addr = (__global uchar *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;src, 0, 0) - (get_global_id(2) - get_global_id(2) / DEPTH_MULTIPLIER) * src_step_z;</div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span>&#160;</div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span>&#160; <span class="comment">// Load the weights</span></div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span>&#160; 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="l00952"></a><span class="lineno"> 952</span>&#160; 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="l00953"></a><span class="lineno"> 953</span>&#160; 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="l00954"></a><span class="lineno"> 954</span>&#160;</div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span>&#160; <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="l00956"></a><span class="lineno"> 956</span>&#160; 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="l00957"></a><span class="lineno"> 957</span>&#160; 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="l00958"></a><span class="lineno"> 958</span>&#160; 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="l00959"></a><span class="lineno"> 959</span>&#160; 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="l00960"></a><span class="lineno"> 960</span>&#160; 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="l00961"></a><span class="lineno"> 961</span>&#160; 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="l00962"></a><span class="lineno"> 962</span>&#160; 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="l00963"></a><span class="lineno"> 963</span>&#160; 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="l00964"></a><span class="lineno"> 964</span>&#160; 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="l00965"></a><span class="lineno"> 965</span>&#160; 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="l00966"></a><span class="lineno"> 966</span>&#160;</div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span>&#160; CONVOLUTION1x3_BIFROST4X1_STRIDE2(pixels0, src00, src01, weights_row0);</div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span>&#160; CONVOLUTION1x3_BIFROST4X1_STRIDE2(pixels0, src10, src11, weights_row1);</div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span>&#160; CONVOLUTION1x3_BIFROST4X1_STRIDE2(pixels0, src20, src21, weights_row2);</div><div class="line"><a name="l00970"></a><span class="lineno"> 970</span>&#160; CONVOLUTION1x3_BIFROST4X1_STRIDE2(pixels1, src20, src21, weights_row0);</div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span>&#160; CONVOLUTION1x3_BIFROST4X1_STRIDE2(pixels1, src30, src31, weights_row1);</div><div class="line"><a name="l00972"></a><span class="lineno"> 972</span>&#160; CONVOLUTION1x3_BIFROST4X1_STRIDE2(pixels1, src40, src41, weights_row2);</div><div class="line"><a name="l00973"></a><span class="lineno"> 973</span>&#160;</div><div class="line"><a name="l00974"></a><span class="lineno"> 974</span>&#160;<span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l00975"></a><span class="lineno"> 975</span>&#160; pixels0 += (half4)bias;</div><div class="line"><a name="l00976"></a><span class="lineno"> 976</span>&#160; pixels1 += (half4)bias;</div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00978"></a><span class="lineno"> 978</span>&#160;</div><div class="line"><a name="l00979"></a><span class="lineno"> 979</span>&#160; vstore4(pixels0, 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(dst.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + 0 * dst_stride_y));</div><div class="line"><a name="l00980"></a><span class="lineno"> 980</span>&#160; vstore4(pixels1, 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(dst.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + 1 * dst_stride_y));</div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span>&#160;}</div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span>&#160;<span class="preprocessor">#endif // defined(ARM_COMPUTE_OPENCL_FP16_ENABLED) &amp;&amp; defined(DEPTH_MULTIPLIER)</span></div><div class="ttc" id="struct_vector_xhtml"><div class="ttname"><a href="struct_vector.xhtml">Vector</a></div><div class="ttdoc">Structure to hold Vector information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00134">helpers.h:134</a></div></div>
Kaizen8938bd32017-09-28 14:38:23 +0100121<div class="ttc" id="fixed__point_8h_xhtml_aa8d95ba04fc73845abc6045952cae5be"><div class="ttname"><a href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a></div><div class="ttdeci">#define CONVERT(x, type)</div><div class="ttdef"><b>Definition:</b> <a href="fixed__point_8h_source.xhtml#l00098">fixed_point.h:98</a></div></div>
Jenkinsb3a371b2018-05-23 11:36:53 +0100122<div class="ttc" id="helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00119">helpers.h:119</a></div></div>
123<div class="ttc" id="helpers_8h_xhtml_a527bfdf5eeb306f1cf01c4a8e29f38e0"><div class="ttname"><a href="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="helpers_8h_source.xhtml#l00098">helpers.h:98</a></div></div>
Kaizen8938bd32017-09-28 14:38:23 +0100124<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>
Anthony Barbier06ea0482018-02-22 15:45:35 +0000125<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>
Jenkinsb3a371b2018-05-23 11:36:53 +0100126<div class="ttc" id="helpers_8h_xhtml_a22f42fcf2077d951271df83b55c1a71a"><div class="ttname"><a href="helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a></div><div class="ttdeci">#define IMAGE_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00068">helpers.h:68</a></div></div>
127<div class="ttc" id="struct_tensor3_d_xhtml"><div class="ttname"><a href="struct_tensor3_d.xhtml">Tensor3D</a></div><div class="ttdoc">Structure to hold 3D tensor information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00151">helpers.h:151</a></div></div>
128<div class="ttc" id="helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00303">helpers.h:303</a></div></div>
Kaizen8938bd32017-09-28 14:38:23 +0100129<div class="ttc" id="helpers_8h_xhtml"><div class="ttname"><a href="helpers_8h.xhtml">helpers.h</a></div></div>
130<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#l00082">convolution3x3.cl:82</a></div></div>
Jenkinsb3a371b2018-05-23 11:36:53 +0100131<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="helpers_8h_source.xhtml#l00136">helpers.h:136</a></div></div>
132<div class="ttc" id="helpers_8h_xhtml_a40a6eb9f2a7712f08d6bb8ff6c9e6ca7"><div class="ttname"><a href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a></div><div class="ttdeci">#define VECTOR_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00062">helpers.h:62</a></div></div>
Anthony Barbier06ea0482018-02-22 15:45:35 +0000133<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00137">Convolution.cpp:137</a></div></div>
Jenkinsb3a371b2018-05-23 11:36:53 +0100134<div class="ttc" id="struct_image_xhtml"><div class="ttname"><a href="struct_image.xhtml">Image</a></div><div class="ttdoc">Structure to hold Image information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00142">helpers.h:142</a></div></div>
135<div class="ttc" id="helpers_8h_xhtml_a6b83038822d1ae7ab619b684ed3b7fc0"><div class="ttname"><a href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a></div><div class="ttdeci">#define TENSOR3D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00076">helpers.h:76</a></div></div>
136<div class="ttc" id="struct_image_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">Image::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00144">helpers.h:144</a></div></div>
137<div class="ttc" id="helpers_8h_xhtml_a64d779f80eeb923e0ab2313433f7b40b"><div class="ttname"><a href="helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_VECTOR_STRUCT_NO_STEP(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00101">helpers.h:101</a></div></div>
138<div class="ttc" id="helpers_8h_xhtml_a7e4940407322d6f0ccb8b6b86b856019"><div class="ttname"><a href="helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a></div><div class="ttdeci">__global const uchar * vector_offset(const Vector *vec, int x)</div><div class="ttdoc">Get the pointer position of a Vector. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00292">helpers.h:292</a></div></div>
139<div class="ttc" id="helpers_8h_xhtml_a541f8db866a0fa93ee67d58ea31a7d0c"><div class="ttname"><a href="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="helpers_8h_source.xhtml#l00116">helpers.h:116</a></div></div>
140<div class="ttc" id="struct_tensor3_d_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">Tensor3D::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00153">helpers.h:153</a></div></div>
Anthony Barbier06ea0482018-02-22 15:45:35 +0000141<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure &amp; src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
Kaizen8938bd32017-09-28 14:38:23 +0100142<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>
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Anthony Barbier8140e1e2017-12-14 23:48:46 +0000148 <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_aebb8dcc11953d78e620bbef0b9e2183.xhtml">core</a></li><li class="navelem"><a class="el" href="dir_8c278f79c760e5c5fbd911f9870614c1.xhtml">CL</a></li><li class="navelem"><a class="el" href="dir_25885286e9dad4fa105b7b25a8031bbf.xhtml">cl_kernels</a></li><li class="navelem"><a class="el" href="depthwise__convolution_8cl.xhtml">depthwise_convolution.cl</a></li>
Jenkinsb3a371b2018-05-23 11:36:53 +0100149 <li class="footer">Generated on Wed May 23 2018 11:36:36 for Compute Library by
Kaizen8938bd32017-09-28 14:38:23 +0100150 <a href="http://www.doxygen.org/index.html">
Anthony Barbier8140e1e2017-12-14 23:48:46 +0000151 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
Kaizen8938bd32017-09-28 14:38:23 +0100152 </ul>
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