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<a href="winograd__input__transform_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) 2018-2019 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;<span class="preprocessor">#include &quot;<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml">helpers.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9"> 26</a></span>&#160;<span class="preprocessor">#define OUTPUT_ROW_4x4_5x5(out, tmp, comm_fact) \</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="preprocessor"> comm_fact.s0 = tmp.s2 - 4.25f * tmp.s4 + tmp.s6; \</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor"> comm_fact.s1 = tmp.s1 - 4.25f * tmp.s3 + tmp.s5; \</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="preprocessor"> comm_fact.s2 = 2.5f * tmp.s3; \</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor"> comm_fact.s3 = 0.5f * tmp.s1 + 2.f * tmp.s5 - comm_fact.s2; \</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="preprocessor"> comm_fact.s4 = 0.25f * tmp.s2 - 1.25f * tmp.s4 + tmp.s6; \</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="preprocessor"> comm_fact.s5 = 4.f * tmp.s2 + tmp.s6 - 5.f * tmp.s4; \</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="preprocessor"> comm_fact.s6 = 2.f * tmp.s1 + 0.5f * tmp.s5 - comm_fact.s2; \</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="preprocessor"> \</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="preprocessor"> out.s0 = tmp.s0 - tmp.s6 + 5.25f * tmp.s4 - 5.25f * tmp.s2; \</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="preprocessor"> out.s1 = comm_fact.s0 + comm_fact.s1; \</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="preprocessor"> out.s2 = comm_fact.s0 - comm_fact.s1; \</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="preprocessor"> out.s3 = comm_fact.s3 + comm_fact.s4; \</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="preprocessor"> out.s4 = comm_fact.s4 - comm_fact.s3; \</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="preprocessor"> out.s5 = comm_fact.s5 + comm_fact.s6; \</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;<span class="preprocessor"> out.s6 = comm_fact.s5 - comm_fact.s6; \</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;<span class="preprocessor"> out.s7 = tmp.s7 - tmp.s1 + 5.25f * tmp.s3 - 5.25f * tmp.s5; \</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;<span class="preprocessor"> })</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;</div><div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="winograd__input__transform_8cl.xhtml#a4b01af9651d23ef289e82a4db19aac7f"> 46</a></span>&#160;<span class="preprocessor">#define OUTPUT_ROW_2x2_7x7(out, tmp, comm_fact) \</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;<span class="preprocessor"> ({ \</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;<span class="preprocessor"> comm_fact.s0 = 36.0f * tmp.s2 - 13.0f * tmp.s4 + tmp.s6; \</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;<span class="preprocessor"> comm_fact.s1 = 36.0f * tmp.s1 - 13.0f * tmp.s3 + 1.0f * tmp.s5; \</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;<span class="preprocessor"> comm_fact.s2 = 9.0f * tmp.s2 - 10.0f * tmp.s4 + tmp.s6; \</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;<span class="preprocessor"> comm_fact.s3 = 18.0f * tmp.s1 - 20.0f * tmp.s3 + 2.0f * tmp.s5; \</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;<span class="preprocessor"> comm_fact.s4 = 4.0f * tmp.s2 - 5.0f * tmp.s4 + tmp.s6; \</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;<span class="preprocessor"> comm_fact.s5 = 12.0f * tmp.s1 - 15.0f * tmp.s3 + 3.0f * tmp.s5; \</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;<span class="preprocessor"> out.s0 = -36.0f * tmp.s0 + 49.0f * tmp.s2 + -14.0f * tmp.s4 + tmp.s6; \</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;<span class="preprocessor"> out.s1 = comm_fact.s0 - comm_fact.s1; \</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;<span class="preprocessor"> out.s2 = comm_fact.s0 + comm_fact.s1; \</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;<span class="preprocessor"> out.s3 = comm_fact.s2 - comm_fact.s3; \</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;<span class="preprocessor"> out.s4 = comm_fact.s2 + comm_fact.s3; \</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;<span class="preprocessor"> out.s5 = comm_fact.s4 - comm_fact.s5; \</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;<span class="preprocessor"> out.s6 = comm_fact.s4 + comm_fact.s5; \</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;<span class="preprocessor"> out.s7 = -36.0f * tmp.s1 + 0.0f * tmp.s2 + 49.0f * tmp.s3 - 14.0f * tmp.s5 + tmp.s7; \</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;<span class="preprocessor"> })</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;<span class="preprocessor">#if defined(NUM_TILES_X) &amp;&amp; defined(PAD_LEFT) &amp;&amp; defined(PAD_TOP) &amp;&amp; defined(OUTPUT_TILE_W) &amp;&amp; defined(OUTPUT_TILE_H)</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;<span class="comment">/** This OpenCL kernel computes the input transform when the kernel size is 3x3/3x1 or 1x3 and the output tile is 2x2/2x1 or 1x2</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;<span class="comment"> * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5).</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;<span class="comment"> * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;<span class="comment"> * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;<span class="comment"> * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;<span class="comment"> * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;<span class="comment"> * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;<span class="comment"> * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half.</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;<span class="comment"> * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;<span class="comment"> * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;<span class="comment"> * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;<span class="comment"> * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;<span class="comment"> * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;<span class="comment"> * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;<span class="comment"> * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;__kernel <span class="keywordtype">void</span> winograd_input_transform_2x2_3x3_stepz1_nchw(</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; uint src_stride_w,</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; uint dst_stride_w)</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;{</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> x = get_global_id(0);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> y = get_global_id(1);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;<span class="preprocessor">#if defined(SRC_DEPTH)</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> z = get_global_id(2) % SRC_DEPTH;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = get_global_id(2) / SRC_DEPTH;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> z = get_global_id(2);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <span class="comment">// Compute input address</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;<span class="preprocessor">#if defined(SRC_DEPTH)</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * src_stride_w;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; src_addr = src_addr - ((int)PAD_LEFT * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)) - ((<span class="keywordtype">int</span>)PAD_TOP * src_stride_y);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;<span class="preprocessor">#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL)</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; in_row0 = vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr));</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160;<span class="preprocessor">#elif defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL)</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; in_row0 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4))(*((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 0 * src_stride_y)),</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 1 * src_stride_y)),</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 2 * src_stride_y)),</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 3 * src_stride_y)));</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160;<span class="preprocessor">#else // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; in_row0 = vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 0 * src_stride_y));</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; in_row1 = vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 1 * src_stride_y));</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; in_row2 = vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 2 * src_stride_y));</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; in_row3 = vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 3 * src_stride_y));</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;<span class="preprocessor">#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; tmp0 = in_row0;</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;<span class="preprocessor">#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; tmp0 -= in_row2;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160;<span class="preprocessor">#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></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; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out00 = tmp0.s0 - tmp0.s2;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out01 = tmp0.s1 + tmp0.s2;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out02 = tmp0.s2 - tmp0.s1;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out03 = tmp0.s1 - tmp0.s3;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;<span class="preprocessor">#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; tmp1 = in_row1 + in_row2;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; tmp2 = in_row2 - in_row1;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; tmp3 = in_row1 - in_row3;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160;</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out10 = tmp1.s0 - tmp1.s2;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out11 = tmp1.s1 + tmp1.s2;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out12 = tmp1.s2 - tmp1.s1;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out13 = tmp1.s1 - tmp1.s3;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160;</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out20 = tmp2.s0 - tmp2.s2;</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out21 = tmp2.s1 + tmp2.s2;</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out22 = tmp2.s2 - tmp2.s1;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out23 = tmp2.s1 - tmp2.s3;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out30 = tmp3.s0 - tmp3.s2;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out31 = tmp3.s1 + tmp3.s2;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out32 = tmp3.s2 - tmp3.s1;</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out33 = tmp3.s1 - tmp3.s3;</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160;<span class="preprocessor">#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160;<span class="preprocessor">#if defined(SRC_DEPTH)</span></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + z * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + (x + y * (<span class="keywordtype">int</span>)NUM_TILES_X) * dst_stride_y + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * dst_stride_w;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + z * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + (x + y * (<span class="keywordtype">int</span>)NUM_TILES_X) * dst_stride_y;</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160;</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 0 * dst_stride_z)) = out00; <span class="comment">// in_row0.s0; out00;</span></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 1 * dst_stride_z)) = out01; <span class="comment">// in_row0.s1; out01;</span></div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 2 * dst_stride_z)) = out02; <span class="comment">// in_row0.s2; out02;</span></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 3 * dst_stride_z)) = out03; <span class="comment">// in_row0.s3; out03;</span></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;<span class="preprocessor">#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 4 * dst_stride_z)) = out10;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 5 * dst_stride_z)) = out11;</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 6 * dst_stride_z)) = out12;</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 7 * dst_stride_z)) = out13;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 8 * dst_stride_z)) = out20;</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 9 * dst_stride_z)) = out21;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 10 * dst_stride_z)) = out22;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 11 * dst_stride_z)) = out23;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 12 * dst_stride_z)) = out30;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 13 * dst_stride_z)) = out31;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 14 * dst_stride_z)) = out32;</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 15 * dst_stride_z)) = out33;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160;<span class="preprocessor">#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160;}</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160;<span class="comment">/** This OpenCL kernel computes the input transform when the kernel size is 3x3/3x1 or 1x3, the output tile is 2x2/2x1 or 1x2 and the number of channels is multiple of 2</span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160;<span class="comment"> * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5).</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160;<span class="comment"> * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160;<span class="comment"> * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160;<span class="comment"> * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2</span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160;<span class="comment"> * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160;<span class="comment"> * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160;<span class="comment"> * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half.</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160;<span class="comment"> * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160;<span class="comment"> * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160;<span class="comment"> * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr</span></div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160;<span class="comment"> * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160;<span class="comment"> * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160;<span class="comment"> * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160;<span class="comment"> * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160;__kernel <span class="keywordtype">void</span> winograd_input_transform_2x2_3x3_stepz2_nchw(</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; uint src_stride_w,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; uint dst_stride_w)</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160;{</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> x = get_global_id(0);</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> y = get_global_id(1);</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160;<span class="preprocessor">#if defined(SRC_DEPTH)</span></div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> z = (get_global_id(2) * 2) % SRC_DEPTH;</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = (get_global_id(2) * 2) / SRC_DEPTH;</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> z = get_global_id(2) * 2;</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160;</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; <span class="comment">// Compute input address</span></div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160;<span class="preprocessor">#if defined(SRC_DEPTH)</span></div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * src_stride_w;</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z;</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; src_addr = src_addr - ((int)PAD_LEFT * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)) - ((<span class="keywordtype">int</span>)PAD_TOP * src_stride_y);</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160;</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160;<span class="preprocessor">#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL)</span></div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; in_row0 = vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr));</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160;<span class="preprocessor">#elif defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL)</span></div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; in_row0 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4))(*((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 0 * src_stride_y)),</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 1 * src_stride_y)),</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 2 * src_stride_y)),</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 3 * src_stride_y)));</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160;<span class="preprocessor">#else // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; in_row0 = vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 0 * src_stride_y));</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; in_row1 = vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 1 * src_stride_y));</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; in_row2 = vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 2 * src_stride_y));</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; in_row3 = vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 3 * src_stride_y));</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160;<span class="preprocessor">#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160;</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; src_addr += src_stride_z;</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160;<span class="preprocessor">#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL)</span></div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; in_row4 = vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr));</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160;<span class="preprocessor">#elif defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL)</span></div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; in_row4 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4))(*((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 0 * src_stride_y)),</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 1 * src_stride_y)),</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 2 * src_stride_y)),</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 3 * src_stride_y)));</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160;<span class="preprocessor">#else // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; in_row4 = vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 0 * src_stride_y));</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; in_row5 = vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 1 * src_stride_y));</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; in_row6 = vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 2 * src_stride_y));</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; in_row7 = vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 3 * src_stride_y));</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160;<span class="preprocessor">#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160;</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; tmp0 = in_row0;</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; tmp4 = in_row4;</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160;</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160;<span class="preprocessor">#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; tmp0 -= in_row2;</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; tmp4 -= in_row6;</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160;<span class="preprocessor">#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></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="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; out00 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2))(tmp0.s0 - tmp0.s2, tmp4.s0 - tmp4.s2);</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; out01 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2))(tmp0.s1 + tmp0.s2, tmp4.s1 + tmp4.s2);</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; out02 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2))(tmp0.s2 - tmp0.s1, tmp4.s2 - tmp4.s1);</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; out03 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2))(tmp0.s1 - tmp0.s3, tmp4.s1 - tmp4.s3);</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160;</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160;<span class="preprocessor">#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; tmp1 = in_row1 + in_row2;</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; tmp2 = in_row2 - in_row1;</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; tmp3 = in_row1 - in_row3;</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160;</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; tmp5 = in_row5 + in_row6;</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; tmp6 = in_row6 - in_row5;</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; tmp7 = in_row5 - in_row7;</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160;</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160; out10 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2))(tmp1.s0 - tmp1.s2, tmp5.s0 - tmp5.s2);</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; out11 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2))(tmp1.s1 + tmp1.s2, tmp5.s1 + tmp5.s2);</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; out12 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2))(tmp1.s2 - tmp1.s1, tmp5.s2 - tmp5.s1);</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; out13 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2))(tmp1.s1 - tmp1.s3, tmp5.s1 - tmp5.s3);</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160;</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; out20 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2))(tmp2.s0 - tmp2.s2, tmp6.s0 - tmp6.s2);</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160; out21 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2))(tmp2.s1 + tmp2.s2, tmp6.s1 + tmp6.s2);</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; out22 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2))(tmp2.s2 - tmp2.s1, tmp6.s2 - tmp6.s1);</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; out23 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2))(tmp2.s1 - tmp2.s3, tmp6.s1 - tmp6.s3);</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; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; out30 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2))(tmp3.s0 - tmp3.s2, tmp7.s0 - tmp7.s2);</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; out31 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2))(tmp3.s1 + tmp3.s2, tmp7.s1 + tmp7.s2);</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; out32 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2))(tmp3.s2 - tmp3.s1, tmp7.s2 - tmp7.s1);</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; out33 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2))(tmp3.s1 - tmp3.s3, tmp7.s1 - tmp7.s3);</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160;<span class="preprocessor">#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; 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__global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + z * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + (x + y * (<span class="keywordtype">int</span>)NUM_TILES_X) * dst_stride_y;</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></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; vstore2(out00, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 0 * dst_stride_z));</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; vstore2(out01, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 1 * dst_stride_z));</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; vstore2(out02, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 2 * dst_stride_z));</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; vstore2(out03, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 3 * dst_stride_z));</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160;</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160;<span class="preprocessor">#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; vstore2(out10, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 4 * dst_stride_z));</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; vstore2(out11, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 5 * dst_stride_z));</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; vstore2(out12, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 6 * dst_stride_z));</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160; vstore2(out13, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 7 * dst_stride_z));</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160; vstore2(out20, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 8 * dst_stride_z));</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160; vstore2(out21, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 9 * dst_stride_z));</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160; vstore2(out22, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 10 * dst_stride_z));</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160; vstore2(out23, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 11 * dst_stride_z));</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160; vstore2(out30, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 12 * dst_stride_z));</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160; vstore2(out31, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 13 * dst_stride_z));</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160; vstore2(out32, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 14 * dst_stride_z));</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160; vstore2(out33, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 15 * dst_stride_z));</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160;<span class="preprocessor">#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160;}</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160;<span class="comment">/** This OpenCL kernel computes the input transform when the output tile is 4x4/4x1 or 1x4, the filter size 3x3/3x1 or 1x3 and the data layout is NCHW</span></div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160;<span class="comment"> * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5).</span></div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160;<span class="comment"> * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).</span></div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160;<span class="comment"> * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2</span></div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160;<span class="comment"> * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2</span></div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160;<span class="comment"> * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time</span></div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160;<span class="comment"> * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time</span></div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160;<span class="comment"> * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half.</span></div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16</span></div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160;<span class="comment"> * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160;<span class="comment"> * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160;<span class="comment"> * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr</span></div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160;<span class="comment"> * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160;<span class="comment"> * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160;<span class="comment"> * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160;<span class="comment"> * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160;__kernel <span class="keywordtype">void</span> winograd_input_transform_4x4_3x3_stepz1_nchw(</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160; uint src_stride_w,</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160; uint dst_stride_w)</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160;{</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> x = get_global_id(0);</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> y = get_global_id(1);</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>&#160;<span class="preprocessor">#if defined(SRC_DEPTH)</span></div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> z = get_global_id(2) % SRC_DEPTH;</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = get_global_id(2) / SRC_DEPTH;</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> z = get_global_id(2);</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>&#160;</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>&#160; <span class="comment">// Compute input address</span></div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>&#160;<span class="preprocessor">#if defined(SRC_DEPTH)</span></div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>&#160; __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * src_stride_w;</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>&#160; __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z;</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>&#160;</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>&#160; src_addr = src_addr - ((int)PAD_LEFT * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)) - ((<span class="keywordtype">int</span>)PAD_TOP * src_stride_y);</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160;</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>&#160;<span class="preprocessor">#if defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160; <span class="comment">// Row0</span></div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160; d00 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4))(*((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 0 * src_stride_y)),</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 1 * src_stride_y)),</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 2 * src_stride_y)),</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 3 * src_stride_y)));</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>&#160; d01 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2))(*((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 4 * src_stride_y)),</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 5 * src_stride_y)));</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>&#160;<span class="preprocessor">#else // defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>&#160; <span class="comment">// Row0</span></div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160; d00 = vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 0 * src_stride_y));</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>&#160; d01 = vload2(2, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 0 * src_stride_y));</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>&#160;<span class="preprocessor">#endif // defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</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; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out0 = 0.0f;</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out1 = 0.0f;</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out2 = 0.0f;</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out3 = 0.0f;</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out4 = 0.0f;</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out5 = 0.0f;</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>&#160;</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>&#160; <span class="comment">// Channels [0, 5]: [out00, out01, out02, out03, out04, out05]</span></div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>&#160; out0 += 16.0f * d00.s0 - 20.0f * d00.s2 + 4.0f * d01.s0;</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>&#160; out1 += -16.0f * d00.s1 - 16.0f * d00.s2 + 4.0f * d00.s3 + 4.0f * d01.s0;</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>&#160; out2 += 16.0f * d00.s1 - 16.0f * d00.s2 - 4.0f * d00.s3 + 4.0f * d01.s0;</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>&#160; out3 += -8.0f * d00.s1 - 4.0f * d00.s2 + 8.0f * d00.s3 + 4.0f * d01.s0;</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>&#160; out4 += 8.0f * d00.s1 - 4.0f * d00.s2 - 8.0f * d00.s3 + 4.0f * d01.s0;</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>&#160; out5 += 16.0f * d00.s1 - 20.0f * d00.s3 + 4.0f * d01.s1;</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>&#160;</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>&#160;<span class="preprocessor">#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160; <span class="comment">// Row4</span></div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>&#160; d40 = vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 4 * src_stride_y));</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>&#160; d41 = vload2(2, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 4 * src_stride_y));</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>&#160;</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160; <span class="comment">// k0, k1, k2, k3, k4, k5 are common terms for row0, row1, row2, row3 and row4</span></div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> k0 = d41.s0;</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> k1 = d41.s0;</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> k2 = d41.s0;</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> k3 = d41.s0;</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> k4 = d41.s0;</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> k5 = 0.0f;</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>&#160;</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160; k0 += 4.0f * d40.s0 - 5.0f * d40.s2;</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>&#160; k1 += -4.0f * d40.s1 - 4.0f * d40.s2 + d40.s3;</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>&#160; k2 += 4.0f * d40.s1 - 4.0f * d40.s2 - d40.s3;</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>&#160; k3 += -2.0f * d40.s1 + 2.0f * d40.s3 - d40.s2;</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>&#160; k4 += 2.0f * d40.s1 - 2.0f * d40.s3 - d40.s2;</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>&#160; k5 += 4.0f * d40.s1 - 5.0f * d40.s3 + d41.s1;</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>&#160;</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>&#160; out0 += k0;</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>&#160; out1 += k1;</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>&#160; out2 += k2;</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>&#160; out3 += k3;</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>&#160; out4 += k4;</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>&#160; out5 += k5;</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160;</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>&#160; <span class="comment">// Row2</span></div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>&#160; d20 = vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 2 * src_stride_y));</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>&#160; d21 = vload2(2, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 2 * src_stride_y));</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>&#160;</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>&#160; out0 += -20.0f * d20.s0 + 25.0f * d20.s2 - 5.0f * d21.s0;</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160; out1 += +20.0f * d20.s1 + 20.0f * d20.s2 - 5.0f * d20.s3 - 5.0f * d21.s0;</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>&#160; out2 += -20.0f * d20.s1 + 20.0f * d20.s2 + 5.0f * d20.s3 - 5.0f * d21.s0;</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>&#160; out3 += +10.0f * d20.s1 + 5.0f * d20.s2 - 10.0f * d20.s3 - 5.0f * d21.s0;</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>&#160; out4 += -10.0f * d20.s1 + 5.0f * d20.s2 + 10.0f * d20.s3 - 5.0f * d21.s0;</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>&#160; out5 += -20.0f * d20.s1 + 25.0f * d20.s3 - 5.0f * d21.s1;</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>&#160;<span class="preprocessor">#endif // #if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>&#160;</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>&#160; <span class="comment">// Compute destination address</span></div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>&#160;<span class="preprocessor">#if defined(SRC_DEPTH)</span></div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>&#160; __global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *dst_addr = (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_ptr + dst_offset_first_element_in_bytes + z * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + (x + y * (int)NUM_TILES_X) * dst_stride_y + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * dst_stride_w);</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>&#160; __global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *dst_addr = (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_ptr + dst_offset_first_element_in_bytes + z * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + (x + y * (int)NUM_TILES_X) * dst_stride_y);</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>&#160;</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>&#160; uint dst_plane_stride = dst_stride_z / <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>);</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>&#160;</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>&#160; *(dst_addr) = out0;</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>&#160; *(dst_addr) = out1;</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>&#160; *(dst_addr) = out2;</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>&#160; *(dst_addr) = out3;</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>&#160; *(dst_addr) = out4;</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>&#160; *(dst_addr) = out5;</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>&#160; dst_addr += dst_plane_stride;</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;<span class="preprocessor">#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out6 = k0;</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out7 = k1;</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out8 = k2;</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out9 = k3;</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out10 = k4;</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out11 = k5;</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out12 = k0;</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out13 = k1;</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out14 = k2;</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out15 = k3;</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out16 = k4;</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out17 = k5;</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out18 = k0;</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out19 = k1;</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out20 = k2;</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out21 = k3;</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out22 = k4;</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out23 = k5;</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out24 = k0;</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out25 = k1;</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out26 = k2;</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out27 = k3;</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out28 = k4;</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out29 = k5;</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; <span class="comment">// Row1</span></div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>&#160; d10 = vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 1 * src_stride_y));</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>&#160; d11 = vload2(2, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 1 * src_stride_y));</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="comment">// Row3</span></div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>&#160; d30 = vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 3 * src_stride_y));</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>&#160; d31 = vload2(2, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 3 * src_stride_y));</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>&#160;</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>&#160; <span class="comment">// Compute common parts for the channels between [6, 29]</span></div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>&#160; <span class="comment">// Channels [6, 11]: [out10, out11, out12, out13, out14, out15]</span></div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>&#160; <span class="comment">// Channels [12, 17]: [out20, out21, out22, out23, out24, out25]</span></div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part0 = -16.0f * d20.s0 + 20.0f * d20.s2 - 4.0f * d21.s0;</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part1 = 16.0f * d10.s0 - 20.0f * d10.s2 + 4.0f * d11.s0 - 4.0f * d30.s0 + 5.0f * d30.s2 - d31.s0;</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part2 = 16.0f * d20.s2 - 4.0f * d21.s0;</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part3 = 16.0f * d20.s1 - 4.0f * d20.s3;</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part4 = 16.0f * d10.s2 - 4.0f * d11.s0 - 4.0f * d30.s2 + d31.s0;</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part5 = 16.0f * d10.s1 - 4.0f * d10.s3 - 4.0f * d30.s1 + d30.s3;</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part6 = 4.0f * d20.s2 - 4.0f * d21.s0;</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part7 = 8.0f * d10.s1 - 8.0f * d10.s3 - 2.0f * d30.s1 + 2.0f * d30.s3;</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part8 = 4.0f * d10.s2 - 4.0f * d11.s0 - d30.s2 + d31.s0;</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part9 = 8.0f * d20.s1 - 8.0f * d20.s3;</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part10 = -16.0f * d20.s1 + 20.0f * d20.s3 - 4.0f * d21.s1;</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part11 = -16.0f * d10.s1 + 20.0f * d10.s3 - 4.0f * d11.s1 + 4.0f * d30.s1 - 5.0f * d30.s3 + d31.s1;</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>&#160;</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>&#160; <span class="comment">// Channels [18, 23]: [out30, out31, out32, out33, out34, out35]</span></div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>&#160; <span class="comment">// Channels [24, 29]: [out40, out41, out42, out43, out44, out45]</span></div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part12 = 8.0f * d10.s0 - 10.0f * d10.s2 + 2.0f * d11.s0 - 8.0f * d30.s0 + 10.0f * d30.s2 - 2.0f * d31.s0;</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part13 = part0 * 0.25f; <span class="comment">// -4.0f * d20.s0 + 5.0f * d20.s2 - d21.s0</span></div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part14 = part2 * 0.25f; <span class="comment">// 4.0f * d20.s2 - d21.s0</span></div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part15 = 8.0f * d10.s1 - 2.0f * d10.s3 - 8.0f * d30.s1 + 2.0f * d30.s3;</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part16 = 8.0f * d10.s2 - 2.0f * d11.s0 - 8.0f * d30.s2 + 2.0f * d31.s0;</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part17 = part3 * 0.25f; <span class="comment">// 4.0f * d20.s1 - d20.s3</span></div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part18 = part6 * 0.25f; <span class="comment">// d20.s2 - d21.s0</span></div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part19 = 4.0f * d10.s1 - 4.0f * d10.s3 - 4.0f * d30.s1 + 4.0f * d30.s3;</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part20 = 2.0f * d10.s2 - 2.0f * d11.s0 - 2.0f * d30.s2 + 2.0f * d31.s0;</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part21 = part9 * 0.25f; <span class="comment">// 2.0f * (d20.s1 - d20.s3)</span></div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part22 = part10 * 0.25f; <span class="comment">// - 4.0f * d20.s1 + 5.0f * d20.s3 - d21.s1</span></div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part23 = part11 * 0.5f + 6.0f * d30.s1 - 7.5f * d30.s3 + 1.5f * d31.s1; <span class="comment">// - 8.0f * d10.s1 + 10.0f * d10.s3 - 2.0f * d11.s1 + 8.0f * d30.s1 - 10.0f * d30.s3 + 2.0f * d31.s1;</span></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; out6 += part0 - part1;</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>&#160; out12 += part0 + part1;</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>&#160; out7 += part2 + part3 + part4 + part5;</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>&#160; out8 += part2 - part3 + part4 - part5;</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>&#160; out13 += part2 + part3 - part4 - part5;</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>&#160; out14 += part2 - part3 - part4 + part5;</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>&#160; out9 += part6 + part7 + part8 + part9;</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>&#160; out10 += part6 - part7 + part8 - part9;</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>&#160; out15 += part6 - part7 - part8 + part9;</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>&#160; out16 += part6 + part7 - part8 - part9;</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>&#160; out11 += part10 + part11;</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>&#160; out17 += part10 - part11;</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>&#160;</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>&#160; out18 += part13 - part12;</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>&#160; out24 += part13 + part12;</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>&#160; out19 += part14 + part15 + part16 + part17;</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>&#160; out20 += part14 - part15 + part16 - part17;</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>&#160; out25 += part14 - part15 - part16 + part17;</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>&#160; out26 += part14 + part15 - part16 - part17;</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>&#160; out21 += part18 + part19 + part20 + part21;</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>&#160; out22 += part18 - part19 + part20 - part21;</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>&#160; out27 += part18 - part19 - part20 + part21;</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>&#160; out28 += part18 + part19 - part20 - part21;</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>&#160; out23 += part22 + part23;</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>&#160; out29 += part22 - part23;</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>&#160;</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>&#160; *(dst_addr) = out6;</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>&#160; *(dst_addr) = out7;</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>&#160; *(dst_addr) = out8;</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>&#160; *(dst_addr) = out9;</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>&#160; *(dst_addr) = out10;</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>&#160; *(dst_addr) = out11;</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>&#160; *(dst_addr) = out12;</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>&#160; *(dst_addr) = out13;</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>&#160; *(dst_addr) = out14;</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>&#160; *(dst_addr) = out15;</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>&#160; *(dst_addr) = out16;</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>&#160; *(dst_addr) = out17;</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>&#160; dst_addr += dst_plane_stride;</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; *(dst_addr) = out18;</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>&#160; *(dst_addr) = out19;</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>&#160; *(dst_addr) = out20;</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>&#160; *(dst_addr) = out21;</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>&#160; *(dst_addr) = out22;</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>&#160; *(dst_addr) = out23;</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>&#160; *(dst_addr) = out24;</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>&#160; *(dst_addr) = out25;</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>&#160; *(dst_addr) = out26;</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>&#160; *(dst_addr) = out27;</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>&#160; *(dst_addr) = out28;</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>&#160; *(dst_addr) = out29;</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>&#160;</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>&#160; <span class="comment">// Row5</span></div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 4)</div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>&#160; d50 = vload4(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 5 * src_stride_y));</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 2)</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>&#160; d51 = vload2(2, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 5 * src_stride_y));</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>&#160;</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>&#160; <span class="comment">// Channels [30, 35]</span></div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>&#160; out0 = 16.0f * d10.s0 - 20.0f * d10.s2 - 20.0f * d30.s0 + 25.0f * d30.s2 + 4.0f * d50.s0 - 5.0f * d50.s2 + d51.s0 + 4.0f * d11.s0 - 5.0f * d31.s0;</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>&#160; out1 = -16.0f * d10.s1 - 16.0f * d10.s2 + 4.0f * d10.s3 + 20.0f * d30.s1 + 20.0f * d30.s2 - 5.0f * d30.s3 - 4.0f * d50.s1 - 4.0f * d50.s2 + d50.s3 + d51.s0 + 4.0f * d11.s0 - 5.0f * d31.s0;</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>&#160; out2 = 16.0f * d10.s1 - 16.0f * d10.s2 - 4.0f * d10.s3 - 20.0f * d30.s1 + 20.0f * d30.s2 + 5.0f * d30.s3 + 4.0f * d50.s1 - 4.0f * d50.s2 - d50.s3 + d51.s0 + 4.0f * d11.s0 - 5.0f * d31.s0;</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>&#160; out3 = -8.0f * d10.s1 - 4.0f * d10.s2 + 8.0f * d10.s3 + 10.0f * d30.s1 - 10.0f * d30.s3 + 5.0f * d30.s2 - 2.0f * d50.s1 + 2.0f * d50.s3 - d50.s2 + d51.s0 + 4.0f * d11.s0 - 5.0f * d31.s0;</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>&#160; out4 = 8.0f * d10.s1 - 4.0f * d10.s2 - 8.0f * d10.s3 - 10.0f * d30.s1 + 5.0f * d30.s2 + 10.0f * d30.s3 + 2.0f * d50.s1 - 2.0f * d50.s3 - d50.s2 + d51.s0 + 4.0f * d11.s0 - 5.0f * d31.s0;</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>&#160; out5 = 16.0f * d10.s1 - 20.0f * d10.s3 + 4.0f * d11.s1 - 20.0f * d30.s1 + 25.0f * d30.s3 - 5.0f * d31.s1 + 4.0f * d50.s1 - 5.0f * d50.s3 + d51.s1;</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>&#160;</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>&#160; *(dst_addr) = out0;</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>&#160; *(dst_addr) = out1;</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>&#160; *(dst_addr) = out2;</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>&#160; *(dst_addr) = out3;</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>&#160; *(dst_addr) = out4;</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>&#160; *(dst_addr) = out5;</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>&#160;<span class="preprocessor">#endif // #if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>&#160;}</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>&#160;<span class="comment">/** This OpenCL kernel computes the input transform when the kernel size is 5x5/5x1 or 1x5 and the output tile is 4x4/4x1 or 1x4 when the data layout is NCHW</span></div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>&#160;<span class="comment"> * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5).</span></div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>&#160;<span class="comment"> * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).</span></div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>&#160;<span class="comment"> * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2</span></div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>&#160;<span class="comment"> * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2</span></div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>&#160;<span class="comment"> * @note If this kernel is used to perform Winograd input transform 5x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time</span></div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>&#160;<span class="comment"> * @note If this kernel is used to perform Winograd input transform 1x5, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time</span></div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>&#160;<span class="comment"> * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half.</span></div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16</span></div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>&#160;<span class="comment"> * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>&#160;<span class="comment"> * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>&#160;<span class="comment"> * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr</span></div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>&#160;<span class="comment"> * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>&#160;<span class="comment"> * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>&#160;<span class="comment"> * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>&#160;<span class="comment"> * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>&#160;__kernel <span class="keywordtype">void</span> winograd_input_transform_4x4_5x5_stepz1_nchw(</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>&#160; uint src_stride_w,</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>&#160; uint dst_stride_w)</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>&#160;{</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> x = get_global_id(0);</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> y = get_global_id(1);</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>&#160;<span class="preprocessor">#if defined(SRC_DEPTH)</span></div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> z = get_global_id(2) % SRC_DEPTH;</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = get_global_id(2) / SRC_DEPTH;</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> z = get_global_id(2);</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>&#160;</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>&#160; <span class="comment">// Compute input address</span></div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>&#160;<span class="preprocessor">#if defined(SRC_DEPTH)</span></div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>&#160; __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * src_stride_w;</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>&#160; __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z;</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>&#160; src_addr = src_addr - ((int)PAD_LEFT * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)) - ((<span class="keywordtype">int</span>)PAD_TOP * src_stride_y);</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>&#160;</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>&#160; <span class="comment">// Load input tile</span></div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>&#160;<span class="preprocessor">#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL)</span></div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>&#160; <span class="keyword">const</span> <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) in_row0 = vload8(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr));</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>&#160;<span class="preprocessor">#elif defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL)</span></div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>&#160; <span class="keyword">const</span> <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) in_row0 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8))(*((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 0 * src_stride_y)),</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 1 * src_stride_y)),</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 2 * src_stride_y)),</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 3 * src_stride_y)),</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 4 * src_stride_y)),</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 5 * src_stride_y)),</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 6 * src_stride_y)),</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 7 * src_stride_y)));</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>&#160;<span class="preprocessor">#else // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>&#160; <span class="keyword">const</span> <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) in_row0 = vload8(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 0 * src_stride_y));</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) in_row1 = vload8(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 1 * src_stride_y));</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) in_row2 = vload8(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 2 * src_stride_y));</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) in_row3 = vload8(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 3 * src_stride_y));</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) in_row4 = vload8(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 4 * src_stride_y));</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) in_row5 = vload8(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 5 * src_stride_y));</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) in_row6 = vload8(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 6 * src_stride_y));</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) in_row7 = vload8(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 7 * src_stride_y));</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>&#160;<span class="preprocessor">#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>&#160;</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>&#160; <span class="comment">// Calculate common factors for intermediate tensor</span></div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span>&#160; tmp0 = in_row0;</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>&#160; comm_fact0 = 0.0f;</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>&#160;</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>&#160;<span class="preprocessor">#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>&#160; comm_fact0 += in_row2 + in_row6 - (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)4.25 * in_row4;</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span>&#160; tmp0 += -in_row6 + (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)5.25 * in_row4 - (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)5.25 * in_row2;</div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>&#160;</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>&#160; comm_fact1 = in_row1 + in_row5 - (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)4.25 * in_row3;</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>&#160; comm_fact2 = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)0.25 * in_row2 - (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)1.25 * in_row4 + in_row6;</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>&#160;</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp1 = comm_fact0 + comm_fact1;</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp2 = comm_fact0 - comm_fact1;</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>&#160;</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span>&#160; comm_fact0 = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)2.5 * in_row3;</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>&#160; comm_fact1 = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)0.5 * in_row1 - comm_fact0 + (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)2.0 * in_row5;</div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span>&#160;</div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp3 = comm_fact1 + comm_fact2;</div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp4 = comm_fact2 - comm_fact1;</div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span>&#160;</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span>&#160; comm_fact1 = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)2.0 * in_row1 - comm_fact0 + (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)0.5 * in_row5;</div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>&#160; comm_fact2 = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)4.0 * in_row2 - (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)5.0 * in_row4 + in_row6;</div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span>&#160;</div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp5 = comm_fact1 + comm_fact2;</div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp6 = comm_fact2 - comm_fact1;</div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp7 = in_row7 - in_row1 + (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)5.25 * in_row3 - (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)5.25 * in_row5;</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>&#160;<span class="preprocessor">#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>&#160;</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span>&#160; <span class="comment">// Calculate output rows (reuse comm_fact0 vector)</span></div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span>&#160; out0;</div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span>&#160;</div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9">OUTPUT_ROW_4x4_5x5</a>(out0, tmp0, comm_fact0);</div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span>&#160;</div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>&#160;<span class="preprocessor">#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>&#160; out1, out2, out3, out4, out5, out6, out7;</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>&#160;</div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9">OUTPUT_ROW_4x4_5x5</a>(out1, tmp1, comm_fact0);</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9">OUTPUT_ROW_4x4_5x5</a>(out2, tmp2, comm_fact0);</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9">OUTPUT_ROW_4x4_5x5</a>(out3, tmp3, comm_fact0);</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9">OUTPUT_ROW_4x4_5x5</a>(out4, tmp4, comm_fact0);</div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9">OUTPUT_ROW_4x4_5x5</a>(out5, tmp5, comm_fact0);</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9">OUTPUT_ROW_4x4_5x5</a>(out6, tmp6, comm_fact0);</div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9">OUTPUT_ROW_4x4_5x5</a>(out7, tmp7, comm_fact0);</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span>&#160;<span class="preprocessor">#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</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; <span class="comment">// Store values across the channels</span></div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span>&#160;<span class="preprocessor">#if defined(SRC_DEPTH)</span></div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>&#160; __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + z * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + (x + y * (<span class="keywordtype">int</span>)NUM_TILES_X) * dst_stride_y + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * dst_stride_w;</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>&#160; __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + z * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + (x + y * (<span class="keywordtype">int</span>)NUM_TILES_X) * dst_stride_y;</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(SRC_DEPTH) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>&#160;</div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 0 * dst_stride_z)) = out0.s0;</div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 1 * dst_stride_z)) = out0.s1;</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 2 * dst_stride_z)) = out0.s2;</div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 3 * dst_stride_z)) = out0.s3;</div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 4 * dst_stride_z)) = out0.s4;</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 5 * dst_stride_z)) = out0.s5;</div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 6 * dst_stride_z)) = out0.s6;</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 7 * dst_stride_z)) = out0.s7;</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;<span class="preprocessor">#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 8 * dst_stride_z)) = out1.s0;</div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 9 * dst_stride_z)) = out1.s1;</div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 10 * dst_stride_z)) = out1.s2;</div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 11 * dst_stride_z)) = out1.s3;</div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 12 * dst_stride_z)) = out1.s4;</div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 13 * dst_stride_z)) = out1.s5;</div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 14 * dst_stride_z)) = out1.s6;</div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 15 * dst_stride_z)) = out1.s7;</div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 16 * dst_stride_z)) = out2.s0;</div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 17 * dst_stride_z)) = out2.s1;</div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 18 * dst_stride_z)) = out2.s2;</div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 19 * dst_stride_z)) = out2.s3;</div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 20 * dst_stride_z)) = out2.s4;</div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 21 * dst_stride_z)) = out2.s5;</div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 22 * dst_stride_z)) = out2.s6;</div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 23 * dst_stride_z)) = out2.s7;</div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 24 * dst_stride_z)) = out3.s0;</div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 25 * dst_stride_z)) = out3.s1;</div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 26 * dst_stride_z)) = out3.s2;</div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 27 * dst_stride_z)) = out3.s3;</div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 28 * dst_stride_z)) = out3.s4;</div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 29 * dst_stride_z)) = out3.s5;</div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 30 * dst_stride_z)) = out3.s6;</div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 31 * dst_stride_z)) = out3.s7;</div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 32 * dst_stride_z)) = out4.s0;</div><div class="line"><a name="l00876"></a><span class="lineno"> 876</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 33 * dst_stride_z)) = out4.s1;</div><div class="line"><a name="l00877"></a><span class="lineno"> 877</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 34 * dst_stride_z)) = out4.s2;</div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 35 * dst_stride_z)) = out4.s3;</div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 36 * dst_stride_z)) = out4.s4;</div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 37 * dst_stride_z)) = out4.s5;</div><div class="line"><a name="l00881"></a><span class="lineno"> 881</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 38 * dst_stride_z)) = out4.s6;</div><div class="line"><a name="l00882"></a><span class="lineno"> 882</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 39 * dst_stride_z)) = out4.s7;</div><div class="line"><a name="l00883"></a><span class="lineno"> 883</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 40 * dst_stride_z)) = out5.s0;</div><div class="line"><a name="l00884"></a><span class="lineno"> 884</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 41 * dst_stride_z)) = out5.s1;</div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 42 * dst_stride_z)) = out5.s2;</div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 43 * dst_stride_z)) = out5.s3;</div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 44 * dst_stride_z)) = out5.s4;</div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 45 * dst_stride_z)) = out5.s5;</div><div class="line"><a name="l00889"></a><span class="lineno"> 889</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 46 * dst_stride_z)) = out5.s6;</div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 47 * dst_stride_z)) = out5.s7;</div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 48 * dst_stride_z)) = out6.s0;</div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 49 * dst_stride_z)) = out6.s1;</div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 50 * dst_stride_z)) = out6.s2;</div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 51 * dst_stride_z)) = out6.s3;</div><div class="line"><a name="l00895"></a><span class="lineno"> 895</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 52 * dst_stride_z)) = out6.s4;</div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 53 * dst_stride_z)) = out6.s5;</div><div class="line"><a name="l00897"></a><span class="lineno"> 897</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 54 * dst_stride_z)) = out6.s6;</div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 55 * dst_stride_z)) = out6.s7;</div><div class="line"><a name="l00899"></a><span class="lineno"> 899</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 56 * dst_stride_z)) = out7.s0;</div><div class="line"><a name="l00900"></a><span class="lineno"> 900</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 57 * dst_stride_z)) = out7.s1;</div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 58 * dst_stride_z)) = out7.s2;</div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 59 * dst_stride_z)) = out7.s3;</div><div class="line"><a name="l00903"></a><span class="lineno"> 903</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 60 * dst_stride_z)) = out7.s4;</div><div class="line"><a name="l00904"></a><span class="lineno"> 904</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 61 * dst_stride_z)) = out7.s5;</div><div class="line"><a name="l00905"></a><span class="lineno"> 905</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 62 * dst_stride_z)) = out7.s6;</div><div class="line"><a name="l00906"></a><span class="lineno"> 906</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 63 * dst_stride_z)) = out7.s7;</div><div class="line"><a name="l00907"></a><span class="lineno"> 907</span>&#160;<span class="preprocessor">#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00908"></a><span class="lineno"> 908</span>&#160;}</div><div class="line"><a name="l00909"></a><span class="lineno"> 909</span>&#160;</div><div class="line"><a name="l00910"></a><span class="lineno"> 910</span>&#160;<span class="preprocessor">#if defined(SRC_DIM_1) &amp;&amp; defined(SRC_DIM_2)</span></div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span>&#160;<span class="comment">/** This OpenCL kernel computes the input transform when the output tile is 4x4, 4x1 or 1x4, the filter size 3x3, 3x1 or 1x3 and the data layout is NHWC</span></div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span>&#160;<span class="comment"> * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5).</span></div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span>&#160;<span class="comment"> * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).</span></div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span>&#160;<span class="comment"> * @note Dimension one of the input tensor (width for NHWC data layout) must be passed at compile time using -DSRC_DIM1 (e.g. -DSRC_DIM_1=112)</span></div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span>&#160;<span class="comment"> * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112)</span></div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span>&#160;<span class="comment"> * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4</span></div><div class="line"><a name="l00918"></a><span class="lineno"> 918</span>&#160;<span class="comment"> * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4</span></div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span>&#160;<span class="comment"> * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time</span></div><div class="line"><a name="l00920"></a><span class="lineno"> 920</span>&#160;<span class="comment"> * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time</span></div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span>&#160;<span class="comment"> * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half.</span></div><div class="line"><a name="l00922"></a><span class="lineno"> 922</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00923"></a><span class="lineno"> 923</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16</span></div><div class="line"><a name="l00924"></a><span class="lineno"> 924</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l00925"></a><span class="lineno"> 925</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00926"></a><span class="lineno"> 926</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l00927"></a><span class="lineno"> 927</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00928"></a><span class="lineno"> 928</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l00929"></a><span class="lineno"> 929</span>&#160;<span class="comment"> * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span>&#160;<span class="comment"> * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00931"></a><span class="lineno"> 931</span>&#160;<span class="comment"> * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr</span></div><div class="line"><a name="l00932"></a><span class="lineno"> 932</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l00933"></a><span class="lineno"> 933</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00934"></a><span class="lineno"> 934</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>&#160;<span class="comment"> * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span>&#160;<span class="comment"> * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00938"></a><span class="lineno"> 938</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l00939"></a><span class="lineno"> 939</span>&#160;<span class="comment"> * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span>&#160;<span class="comment"> * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00942"></a><span class="lineno"> 942</span>&#160;__kernel <span class="keywordtype">void</span> winograd_input_transform_4x4_3x3_stepz1_nhwc(</div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span>&#160; uint src_stride_w,</div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span>&#160; uint dst_stride_w)</div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span>&#160;{</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> x = get_global_id(0);</div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> y = get_global_id(1);</div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span>&#160;<span class="preprocessor">#if defined(NUM_TILES_Y)</span></div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> z = get_global_id(2) % NUM_TILES_Y;</div><div class="line"><a name="l00952"></a><span class="lineno"> 952</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = get_global_id(2) / NUM_TILES_Y;</div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* defined(NUM_TILES_Y) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00954"></a><span class="lineno"> 954</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> z = get_global_id(2);</div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(NUM_TILES_Y) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00956"></a><span class="lineno"> 956</span>&#160;</div><div class="line"><a name="l00957"></a><span class="lineno"> 957</span>&#160;<span class="preprocessor">#if defined(NUM_TILES_Y)</span></div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span>&#160; __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * src_stride_w;</div><div class="line"><a name="l00959"></a><span class="lineno"> 959</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* defined(NUM_TILES_Y) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00960"></a><span class="lineno"> 960</span>&#160; __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>);</div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(NUM_TILES_Y) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span>&#160;</div><div class="line"><a name="l00963"></a><span class="lineno"> 963</span>&#160; <span class="comment">// Clamp coordinates. This clamp is valid for all rows</span></div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span>&#160; int4 y_coord0 = (int4)(y * OUTPUT_TILE_W) + (int4)(0, 1, 2, 3) - (int4)PAD_LEFT;</div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span>&#160; int2 y_coord1 = (int2)(y * OUTPUT_TILE_W) + (int2)(4, 5) - (int2)PAD_LEFT;</div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span>&#160; y_coord0 = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(y_coord0, (int4) - 1, (int4)SRC_DIM_1);</div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span>&#160; y_coord1 = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(y_coord1, (int2) - 1, (int2)SRC_DIM_1);</div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span>&#160;</div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span>&#160; <span class="keywordtype">int</span> z_coord;</div><div class="line"><a name="l00970"></a><span class="lineno"> 970</span>&#160; int4 valid_y0;</div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span>&#160; int2 valid_y1;</div><div class="line"><a name="l00972"></a><span class="lineno"> 972</span>&#160;</div><div class="line"><a name="l00973"></a><span class="lineno"> 973</span>&#160;<span class="preprocessor">#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l00974"></a><span class="lineno"> 974</span>&#160; <span class="comment">// Row4</span></div><div class="line"><a name="l00975"></a><span class="lineno"> 975</span>&#160; z_coord = (z * 4) - (<span class="keywordtype">int</span>)PAD_TOP + 4;</div><div class="line"><a name="l00976"></a><span class="lineno"> 976</span>&#160;</div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span>&#160; <span class="comment">// If z &lt; 0, set y to -1</span></div><div class="line"><a name="l00978"></a><span class="lineno"> 978</span>&#160; valid_y0 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord0, (int4) - 1, (int4)z_coord &lt; 0);</div><div class="line"><a name="l00979"></a><span class="lineno"> 979</span>&#160; valid_y1 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord1, (int2) - 1, (int2)z_coord &lt; 0);</div><div class="line"><a name="l00980"></a><span class="lineno"> 980</span>&#160; <span class="comment">// If z &gt;= SRC_DIM_2, set y to SRC_DIM_2</span></div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span>&#160; valid_y0 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y0, (int4)SRC_DIM_1, (int4)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span>&#160; valid_y1 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y1, (int2)SRC_DIM_1, (int2)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span>&#160;</div><div class="line"><a name="l00984"></a><span class="lineno"> 984</span>&#160; <span class="comment">// Clamp z coordinate</span></div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l00986"></a><span class="lineno"> 986</span>&#160;</div><div class="line"><a name="l00987"></a><span class="lineno"> 987</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d40 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l00988"></a><span class="lineno"> 988</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d41 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l00989"></a><span class="lineno"> 989</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d42 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l00990"></a><span class="lineno"> 990</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d43 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l00991"></a><span class="lineno"> 991</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d44 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y1.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l00992"></a><span class="lineno"> 992</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d45 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y1.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l00993"></a><span class="lineno"> 993</span>&#160;</div><div class="line"><a name="l00994"></a><span class="lineno"> 994</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> k0 = d44;</div><div class="line"><a name="l00995"></a><span class="lineno"> 995</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> k1 = d44;</div><div class="line"><a name="l00996"></a><span class="lineno"> 996</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> k2 = d44;</div><div class="line"><a name="l00997"></a><span class="lineno"> 997</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> k3 = d44;</div><div class="line"><a name="l00998"></a><span class="lineno"> 998</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> k4 = d44;</div><div class="line"><a name="l00999"></a><span class="lineno"> 999</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> k5 = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)0.0f;</div><div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>&#160;</div><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>&#160; k0 += 4.0f * d40 - 5.0f * d42;</div><div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>&#160; k1 += -4.0f * d41 - 4.0f * d42 + d43;</div><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>&#160; k2 += 4.0f * d41 - 4.0f * d42 - d43;</div><div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>&#160; k3 += -2.0f * d41 + 2.0f * d43 - d42;</div><div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>&#160; k4 += 2.0f * d41 - 2.0f * d43 - d42;</div><div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>&#160; k5 += 4.0f * d41 - 5.0f * d43 + d45;</div><div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>&#160;<span class="preprocessor">#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>&#160;</div><div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>&#160;<span class="preprocessor">#if !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>&#160; <span class="comment">// Row0</span></div><div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>&#160; z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 0;</div><div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>&#160;</div><div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>&#160;<span class="preprocessor">#if PAD_TOP != 0</span></div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>&#160; valid_y0 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord0, (int4) - 1, (int4)z_coord &lt; 0);</div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>&#160; valid_y1 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord1, (int2) - 1, (int2)z_coord &lt; 0);</div><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>&#160; valid_y0 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y0, (<span class="keywordtype">int</span>)SRC_DIM_1, (int4)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>&#160; valid_y1 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y1, (<span class="keywordtype">int</span>)SRC_DIM_1, (int2)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>&#160;<span class="preprocessor">#else // PAD_TOP != 0</span></div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>&#160; valid_y0 = y_coord0;</div><div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>&#160; valid_y1 = y_coord1;</div><div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>&#160;<span class="preprocessor">#endif // if PAD_TOP == 0, we cannot read out of bound</span></div><div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>&#160;</div><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d00 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d01 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d02 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d03 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d04 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y1.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d05 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y1.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>&#160;<span class="preprocessor">#else // !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>&#160; int4 z_coords0 = (int4)(z * OUTPUT_TILE_H) + (int4)(0, 1, 2, 3) - (int4)PAD_TOP;</div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>&#160; int2 z_coords1 = (int2)(z * OUTPUT_TILE_H) + (int2)(4, 5) - (int2)PAD_TOP;</div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>&#160;</div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>&#160; valid_y0 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>((int4)y_coord0.s0, (int4) - 1, z_coords0 &lt; (int4)0);</div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>&#160; valid_y1 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>((int2)y_coord0.s0, (int2) - 1, z_coords1 &lt; (int2)0);</div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>&#160; valid_y0 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y0, (int4)SRC_DIM_1, z_coords0 &gt;= (int4)SRC_DIM_2);</div><div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>&#160; valid_y1 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y1, (int2)SRC_DIM_1, z_coords1 &gt;= (int2)SRC_DIM_2);</div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>&#160;</div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>&#160; z_coords0 = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>((int4)z_coords0, (int4)0, (int4)((<span class="keywordtype">int</span>)SRC_DIM_2 - 1));</div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>&#160; z_coords1 = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>((int2)z_coords1, (int2)0, (int2)((<span class="keywordtype">int</span>)SRC_DIM_2 - 1));</div><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>&#160;</div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d00 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coords0.s0 * src_stride_z);</div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d01 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coords0.s1 * src_stride_z);</div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d02 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coords0.s2 * src_stride_z);</div><div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d03 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coords0.s3 * src_stride_z);</div><div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d04 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y1.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coords1.s0 * src_stride_z);</div><div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d05 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y1.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coords1.s1 * src_stride_z);</div><div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>&#160;<span class="preprocessor">#endif // !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>&#160;</div><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out0 = 16.0f * d00 - 20.0f * d02 + 4.0f * d04;</div><div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out1 = -16.0f * d01 - 16.0f * d02 + 4.0f * d03 + 4.0f * d04;</div><div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out2 = 16.0f * d01 - 16.0f * d02 - 4.0f * d03 + 4.0f * d04;</div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out3 = -8.0f * d01 - 4.0f * d02 + 8.0f * d03 + 4.0f * d04;</div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out4 = 8.0f * d01 - 4.0f * d02 - 8.0f * d03 + 4.0f * d04;</div><div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out5 = 16.0f * d01 - 20.0f * d03 + 4.0f * d05;</div><div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>&#160;</div><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>&#160;<span class="preprocessor">#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>&#160; <span class="comment">// Row2</span></div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>&#160; z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 2;</div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>&#160; valid_y0 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord0, (int4) - 1, (int4)z_coord &lt; 0);</div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>&#160; valid_y1 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord1, (int2) - 1, (int2)z_coord &lt; 0);</div><div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>&#160; valid_y0 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y0, (int4)SRC_DIM_1, (int4)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>&#160; valid_y1 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y1, (int2)SRC_DIM_1, (int2)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>&#160;</div><div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d20 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d21 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d22 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d23 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d24 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y1.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d25 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y1.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>&#160;</div><div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>&#160; out0 += k0;</div><div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>&#160; out1 += k1;</div><div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>&#160; out2 += k2;</div><div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>&#160; out3 += k3;</div><div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>&#160; out4 += k4;</div><div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>&#160; out5 += k5;</div><div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out6 = k0;</div><div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out7 = k1;</div><div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out8 = k2;</div><div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out9 = k3;</div><div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out10 = k4;</div><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out11 = k5;</div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out12 = k0;</div><div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out13 = k1;</div><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out14 = k2;</div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out15 = k3;</div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out16 = k4;</div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out17 = k5;</div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out18 = k0;</div><div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out19 = k1;</div><div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out20 = k2;</div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out21 = k3;</div><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out22 = k4;</div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out23 = k5;</div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out24 = k0;</div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out25 = k1;</div><div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out26 = k2;</div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out27 = k3;</div><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out28 = k4;</div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> out29 = k5;</div><div class="line"><a name="l01103"></a><span class="lineno"> 1103</span>&#160;</div><div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>&#160; <span class="comment">// Channels [0, 5]: [out00, out01, out02, out03, out04, out05]</span></div><div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>&#160; out0 += -20.0f * d20 + 25.0f * d22 - 5.0f * d24;</div><div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>&#160; out1 += 20.0f * d21 + 20.0f * d22 - 5.0f * d23 - 5.0f * d24;</div><div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>&#160; out2 += -20.0f * d21 + 20.0f * d22 + 5.0f * d23 - 5.0f * d24;</div><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>&#160; out3 += 10.0f * d21 + 5.0f * d22 - 10.0f * d23 - 5.0f * d24;</div><div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>&#160; out4 += -10.0f * d21 + 5.0f * d22 + 10.0f * d23 - 5.0f * d24;</div><div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>&#160; out5 += -20.0f * d21 + 25.0f * d23 - 5.0f * d25;</div><div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>&#160;<span class="preprocessor">#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>&#160;</div><div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>&#160; <span class="comment">// Compute destination address</span></div><div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>&#160;<span class="preprocessor">#if defined(NUM_TILES_Y)</span></div><div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>&#160; __global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *dst_addr = (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_ptr + dst_offset_first_element_in_bytes + x * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + (y + z * (int)NUM_TILES_X) * dst_stride_y + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * dst_stride_w);</div><div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* defined(NUM_TILES_Y) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>&#160; __global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *dst_addr = (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_ptr + dst_offset_first_element_in_bytes + x * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + (y + z * (int)NUM_TILES_X) * dst_stride_y);</div><div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(NUM_TILES_Y) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>&#160;</div><div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>&#160; uint dst_plane_stride = dst_stride_z / <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>);</div><div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>&#160;</div><div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out0;</div><div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out1;</div><div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out2;</div><div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out3;</div><div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out4;</div><div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out5;</div><div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>&#160;</div><div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>&#160;<span class="preprocessor">#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>&#160; <span class="comment">// Row1</span></div><div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>&#160; z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 1;</div><div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>&#160; <span class="comment">// Row1 can never be out of bounds</span></div><div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>&#160; valid_y0 = y_coord0;</div><div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>&#160; valid_y1 = y_coord1;</div><div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>&#160;</div><div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d10 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d11 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d12 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d13 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d14 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y1.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d15 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y1.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01148"></a><span class="lineno"> 1148</span>&#160;</div><div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>&#160; <span class="comment">// Row3</span></div><div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>&#160; z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 3;</div><div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>&#160; valid_y0 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord0, (int4) - 1, (int4)z_coord &lt; 0);</div><div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>&#160; valid_y1 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord1, (int2) - 1, (int2)z_coord &lt; 0);</div><div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>&#160; valid_y0 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y0, (int4)SRC_DIM_1, (int4)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>&#160; valid_y1 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y1, (int2)SRC_DIM_1, (int2)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>&#160;</div><div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d30 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d31 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d32 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d33 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d34 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y1.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d35 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y1.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>&#160;</div><div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>&#160; <span class="comment">// Compute common parts for the channels between [6, 29]</span></div><div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>&#160; <span class="comment">// Channels [6, 11]: [out10, out11, out12, out13, out14, out15]</span></div><div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>&#160; <span class="comment">// Channels [12, 17]: [out20, out21, out22, out23, out24, out25]</span></div><div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part0 = -16.0f * d20 + 20.0f * d22 - 4.0f * d24;</div><div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part1 = 16.0f * d10 - 20.0f * d12 + 4.0f * d14 - 4.0f * d30 + 5.0f * d32 - d34;</div><div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part2 = 16.0f * d22 - 4.0f * d24;</div><div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part3 = 16.0f * d21 - 4.0f * d23;</div><div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part4 = 16.0f * d12 - 4.0f * d14 - 4.0f * d32 + d34;</div><div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part5 = 16.0f * d11 - 4.0f * d13 - 4.0f * d31 + d33;</div><div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part6 = 4.0f * d22 - 4.0f * d24;</div><div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part7 = 8.0f * d11 - 8.0f * d13 - 2.0f * d31 + 2.0f * d33;</div><div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part8 = 4.0f * d12 - 4.0f * d14 - d32 + d34;</div><div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part9 = 8.0f * d21 - 8.0f * d23;</div><div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part10 = -16.0f * d21 + 20.0f * d23 - 4.0f * d25;</div><div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part11 = -16.0f * d11 + 20.0f * d13 - 4.0f * d15 + 4.0f * d31 - 5.0f * d33 + d35;</div><div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>&#160;</div><div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>&#160; <span class="comment">// Channels [18, 23]: [out30, out31, out32, out33, out34, out35]</span></div><div class="line"><a name="l01182"></a><span class="lineno"> 1182</span>&#160; <span class="comment">// Channels [24, 29]: [out40, out41, out42, out43, out44, out45]</span></div><div class="line"><a name="l01183"></a><span class="lineno"> 1183</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part12 = 8.0f * d10 - 10.0f * d12 + 2.0f * d14 - 8.0f * d30 + 10.0f * d32 - 2.0f * d34;</div><div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part13 = part0 * 0.25f; <span class="comment">// -4.0f * d20 + 5.0f * d22 - d24</span></div><div class="line"><a name="l01185"></a><span class="lineno"> 1185</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part14 = part2 * 0.25f; <span class="comment">// 4.0f * d22 - d24</span></div><div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part15 = 8.0f * d11 - 2.0f * d13 - 8.0f * d31 + 2.0f * d33;</div><div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part16 = 8.0f * d12 - 2.0f * d14 - 8.0f * d32 + 2.0f * d34;</div><div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part17 = part3 * 0.25f; <span class="comment">// 4.0f * d21 - d23</span></div><div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part18 = part6 * 0.25f; <span class="comment">// d22 - d24</span></div><div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part19 = 4.0f * d11 - 4.0f * d13 - 4.0f * d31 + 4.0f * d33;</div><div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part20 = 2.0f * d12 - 2.0f * d14 - 2.0f * d32 + 2.0f * d34;</div><div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part21 = part9 * 0.25f; <span class="comment">// 2.0f * (d21 - d23)</span></div><div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part22 = part10 * 0.25f; <span class="comment">// - 4.0f * d21 + 5.0f * d23 - d25</span></div><div class="line"><a name="l01194"></a><span class="lineno"> 1194</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> part23 = part11 * 0.5f + 6.0f * d31 - 7.5f * d33 + 1.5f * d35; <span class="comment">// - 8.0f * d11 + 10.0f * d13 - 2.0f * d15 + 8.0f * d31 - 10.0f * d33 + 2.0f * d35;</span></div><div class="line"><a name="l01195"></a><span class="lineno"> 1195</span>&#160;</div><div class="line"><a name="l01196"></a><span class="lineno"> 1196</span>&#160; out6 += part0 - part1;</div><div class="line"><a name="l01197"></a><span class="lineno"> 1197</span>&#160; out12 += part0 + part1;</div><div class="line"><a name="l01198"></a><span class="lineno"> 1198</span>&#160; out7 += part2 + part3 + part4 + part5;</div><div class="line"><a name="l01199"></a><span class="lineno"> 1199</span>&#160; out8 += part2 - part3 + part4 - part5;</div><div class="line"><a name="l01200"></a><span class="lineno"> 1200</span>&#160; out13 += part2 + part3 - part4 - part5;</div><div class="line"><a name="l01201"></a><span class="lineno"> 1201</span>&#160; out14 += part2 - part3 - part4 + part5;</div><div class="line"><a name="l01202"></a><span class="lineno"> 1202</span>&#160; out9 += part6 + part7 + part8 + part9;</div><div class="line"><a name="l01203"></a><span class="lineno"> 1203</span>&#160; out10 += part6 - part7 + part8 - part9;</div><div class="line"><a name="l01204"></a><span class="lineno"> 1204</span>&#160; out15 += part6 - part7 - part8 + part9;</div><div class="line"><a name="l01205"></a><span class="lineno"> 1205</span>&#160; out16 += part6 + part7 - part8 - part9;</div><div class="line"><a name="l01206"></a><span class="lineno"> 1206</span>&#160; out11 += part10 + part11;</div><div class="line"><a name="l01207"></a><span class="lineno"> 1207</span>&#160; out17 += part10 - part11;</div><div class="line"><a name="l01208"></a><span class="lineno"> 1208</span>&#160;</div><div class="line"><a name="l01209"></a><span class="lineno"> 1209</span>&#160; out18 += part13 - part12;</div><div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>&#160; out24 += part13 + part12;</div><div class="line"><a name="l01211"></a><span class="lineno"> 1211</span>&#160; out19 += part14 + part15 + part16 + part17;</div><div class="line"><a name="l01212"></a><span class="lineno"> 1212</span>&#160; out20 += part14 - part15 + part16 - part17;</div><div class="line"><a name="l01213"></a><span class="lineno"> 1213</span>&#160; out25 += part14 - part15 - part16 + part17;</div><div class="line"><a name="l01214"></a><span class="lineno"> 1214</span>&#160; out26 += part14 + part15 - part16 - part17;</div><div class="line"><a name="l01215"></a><span class="lineno"> 1215</span>&#160; out21 += part18 + part19 + part20 + part21;</div><div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>&#160; out22 += part18 - part19 + part20 - part21;</div><div class="line"><a name="l01217"></a><span class="lineno"> 1217</span>&#160; out27 += part18 - part19 - part20 + part21;</div><div class="line"><a name="l01218"></a><span class="lineno"> 1218</span>&#160; out28 += part18 + part19 - part20 - part21;</div><div class="line"><a name="l01219"></a><span class="lineno"> 1219</span>&#160; out23 += part22 + part23;</div><div class="line"><a name="l01220"></a><span class="lineno"> 1220</span>&#160; out29 += part22 - part23;</div><div class="line"><a name="l01221"></a><span class="lineno"> 1221</span>&#160;</div><div class="line"><a name="l01222"></a><span class="lineno"> 1222</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out6;</div><div class="line"><a name="l01223"></a><span class="lineno"> 1223</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01224"></a><span class="lineno"> 1224</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out7;</div><div class="line"><a name="l01225"></a><span class="lineno"> 1225</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01226"></a><span class="lineno"> 1226</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out8;</div><div class="line"><a name="l01227"></a><span class="lineno"> 1227</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01228"></a><span class="lineno"> 1228</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out9;</div><div class="line"><a name="l01229"></a><span class="lineno"> 1229</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out10;</div><div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out11;</div><div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out12;</div><div class="line"><a name="l01235"></a><span class="lineno"> 1235</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out13;</div><div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01238"></a><span class="lineno"> 1238</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out14;</div><div class="line"><a name="l01239"></a><span class="lineno"> 1239</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out15;</div><div class="line"><a name="l01241"></a><span class="lineno"> 1241</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out16;</div><div class="line"><a name="l01243"></a><span class="lineno"> 1243</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out17;</div><div class="line"><a name="l01245"></a><span class="lineno"> 1245</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01246"></a><span class="lineno"> 1246</span>&#160;</div><div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out18;</div><div class="line"><a name="l01248"></a><span class="lineno"> 1248</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01249"></a><span class="lineno"> 1249</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out19;</div><div class="line"><a name="l01250"></a><span class="lineno"> 1250</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01251"></a><span class="lineno"> 1251</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out20;</div><div class="line"><a name="l01252"></a><span class="lineno"> 1252</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out21;</div><div class="line"><a name="l01254"></a><span class="lineno"> 1254</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01255"></a><span class="lineno"> 1255</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out22;</div><div class="line"><a name="l01256"></a><span class="lineno"> 1256</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01257"></a><span class="lineno"> 1257</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out23;</div><div class="line"><a name="l01258"></a><span class="lineno"> 1258</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01259"></a><span class="lineno"> 1259</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out24;</div><div class="line"><a name="l01260"></a><span class="lineno"> 1260</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01261"></a><span class="lineno"> 1261</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out25;</div><div class="line"><a name="l01262"></a><span class="lineno"> 1262</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01263"></a><span class="lineno"> 1263</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out26;</div><div class="line"><a name="l01264"></a><span class="lineno"> 1264</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01265"></a><span class="lineno"> 1265</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out27;</div><div class="line"><a name="l01266"></a><span class="lineno"> 1266</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01267"></a><span class="lineno"> 1267</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out28;</div><div class="line"><a name="l01268"></a><span class="lineno"> 1268</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01269"></a><span class="lineno"> 1269</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out29;</div><div class="line"><a name="l01270"></a><span class="lineno"> 1270</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01271"></a><span class="lineno"> 1271</span>&#160;</div><div class="line"><a name="l01272"></a><span class="lineno"> 1272</span>&#160; <span class="comment">// Row5</span></div><div class="line"><a name="l01273"></a><span class="lineno"> 1273</span>&#160; z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 5;</div><div class="line"><a name="l01274"></a><span class="lineno"> 1274</span>&#160; valid_y0 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord0, (int4) - 1, (int4)z_coord &lt; 0);</div><div class="line"><a name="l01275"></a><span class="lineno"> 1275</span>&#160; valid_y1 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord1, (int2) - 1, (int2)z_coord &lt; 0);</div><div class="line"><a name="l01276"></a><span class="lineno"> 1276</span>&#160; valid_y0 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y0, (int4)SRC_DIM_1, (int4)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01277"></a><span class="lineno"> 1277</span>&#160; valid_y1 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y1, (int2)SRC_DIM_1, (int2)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01278"></a><span class="lineno"> 1278</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l01279"></a><span class="lineno"> 1279</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l01280"></a><span class="lineno"> 1280</span>&#160;</div><div class="line"><a name="l01281"></a><span class="lineno"> 1281</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d50 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01282"></a><span class="lineno"> 1282</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d51 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d52 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01284"></a><span class="lineno"> 1284</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d53 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y0.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01285"></a><span class="lineno"> 1285</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d54 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y1.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01286"></a><span class="lineno"> 1286</span>&#160; <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> d55 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y1.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01287"></a><span class="lineno"> 1287</span>&#160;</div><div class="line"><a name="l01288"></a><span class="lineno"> 1288</span>&#160; <span class="comment">// Channels [30, 35]</span></div><div class="line"><a name="l01289"></a><span class="lineno"> 1289</span>&#160; out0 = 16.0f * d10 - 20.0f * d12 - 20.0f * d30 + 25.0f * d32 + 4.0f * d50 - 5.0f * d52 + d54 + 4.0f * d14 - 5.0f * d34;</div><div class="line"><a name="l01290"></a><span class="lineno"> 1290</span>&#160; out1 = -16.0f * d11 - 16.0f * d12 + 4.0f * d13 + 20.0f * d31 + 20.0f * d32 - 5.0f * d33 - 4.0f * d51 - 4.0f * d52 + d53 + d54 + 4.0f * d14 - 5.0f * d34;</div><div class="line"><a name="l01291"></a><span class="lineno"> 1291</span>&#160; out2 = 16.0f * d11 - 16.0f * d12 - 4.0f * d13 - 20.0f * d31 + 20.0f * d32 + 5.0f * d33 + 4.0f * d51 - 4.0f * d52 - d53 + d54 + 4.0f * d14 - 5.0f * d34;</div><div class="line"><a name="l01292"></a><span class="lineno"> 1292</span>&#160; out3 = -8.0f * d11 - 4.0f * d12 + 8.0f * d13 + 10.0f * d31 - 10.0f * d33 + 5.0f * d32 - 2.0f * d51 + 2.0f * d53 - d52 + d54 + 4.0f * d14 - 5.0f * d34;</div><div class="line"><a name="l01293"></a><span class="lineno"> 1293</span>&#160; out4 = 8.0f * d11 - 4.0f * d12 - 8.0f * d13 - 10.0f * d31 + 5.0f * d32 + 10.0f * d33 + 2.0f * d51 - 2.0f * d53 - d52 + d54 + 4.0f * d14 - 5.0f * d34;</div><div class="line"><a name="l01294"></a><span class="lineno"> 1294</span>&#160; out5 = 16.0f * d11 - 20.0f * d13 + 4.0f * d15 - 20.0f * d31 + 25.0f * d33 - 5.0f * d35 + 4.0f * d51 - 5.0f * d53 + d55;</div><div class="line"><a name="l01295"></a><span class="lineno"> 1295</span>&#160;</div><div class="line"><a name="l01296"></a><span class="lineno"> 1296</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out0;</div><div class="line"><a name="l01297"></a><span class="lineno"> 1297</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01298"></a><span class="lineno"> 1298</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out1;</div><div class="line"><a name="l01299"></a><span class="lineno"> 1299</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01300"></a><span class="lineno"> 1300</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out2;</div><div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01302"></a><span class="lineno"> 1302</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out3;</div><div class="line"><a name="l01303"></a><span class="lineno"> 1303</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01304"></a><span class="lineno"> 1304</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out4;</div><div class="line"><a name="l01305"></a><span class="lineno"> 1305</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01306"></a><span class="lineno"> 1306</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst_addr) = out5;</div><div class="line"><a name="l01307"></a><span class="lineno"> 1307</span>&#160; dst_addr += dst_plane_stride;</div><div class="line"><a name="l01308"></a><span class="lineno"> 1308</span>&#160;<span class="preprocessor">#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l01309"></a><span class="lineno"> 1309</span>&#160;}</div><div class="line"><a name="l01310"></a><span class="lineno"> 1310</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01311"></a><span class="lineno"> 1311</span>&#160;<span class="comment">/** This OpenCL kernel computes the input transform when the kernel size is 5x5/5x1 or 1x5 and the output tile is 4x4/4x1 or 1x4 when the data layout is NHWC</span></div><div class="line"><a name="l01312"></a><span class="lineno"> 1312</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>&#160;<span class="comment"> * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5).</span></div><div class="line"><a name="l01314"></a><span class="lineno"> 1314</span>&#160;<span class="comment"> * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).</span></div><div class="line"><a name="l01315"></a><span class="lineno"> 1315</span>&#160;<span class="comment"> * @note Dimension one of the input tensor (width for NHWC data layout) must be passed at compile time using -DSRC_DIM1 (e.g. -DSRC_DIM_1=112)</span></div><div class="line"><a name="l01316"></a><span class="lineno"> 1316</span>&#160;<span class="comment"> * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112)</span></div><div class="line"><a name="l01317"></a><span class="lineno"> 1317</span>&#160;<span class="comment"> * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4</span></div><div class="line"><a name="l01318"></a><span class="lineno"> 1318</span>&#160;<span class="comment"> * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4</span></div><div class="line"><a name="l01319"></a><span class="lineno"> 1319</span>&#160;<span class="comment"> * @note If this kernel is used to perform Winograd input transform 5x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time</span></div><div class="line"><a name="l01320"></a><span class="lineno"> 1320</span>&#160;<span class="comment"> * @note If this kernel is used to perform Winograd input transform 1x5, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time</span></div><div class="line"><a name="l01321"></a><span class="lineno"> 1321</span>&#160;<span class="comment"> * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half.</span></div><div class="line"><a name="l01322"></a><span class="lineno"> 1322</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l01323"></a><span class="lineno"> 1323</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16</span></div><div class="line"><a name="l01324"></a><span class="lineno"> 1324</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l01325"></a><span class="lineno"> 1325</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l01326"></a><span class="lineno"> 1326</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l01327"></a><span class="lineno"> 1327</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l01328"></a><span class="lineno"> 1328</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l01329"></a><span class="lineno"> 1329</span>&#160;<span class="comment"> * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l01330"></a><span class="lineno"> 1330</span>&#160;<span class="comment"> * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l01331"></a><span class="lineno"> 1331</span>&#160;<span class="comment"> * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr</span></div><div class="line"><a name="l01332"></a><span class="lineno"> 1332</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l01333"></a><span class="lineno"> 1333</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l01336"></a><span class="lineno"> 1336</span>&#160;<span class="comment"> * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l01337"></a><span class="lineno"> 1337</span>&#160;<span class="comment"> * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l01338"></a><span class="lineno"> 1338</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l01339"></a><span class="lineno"> 1339</span>&#160;<span class="comment"> * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l01340"></a><span class="lineno"> 1340</span>&#160;<span class="comment"> * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l01341"></a><span class="lineno"> 1341</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l01342"></a><span class="lineno"> 1342</span>&#160;__kernel <span class="keywordtype">void</span> winograd_input_transform_4x4_5x5_stepz1_nhwc(</div><div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l01344"></a><span class="lineno"> 1344</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l01345"></a><span class="lineno"> 1345</span>&#160; uint src_stride_w,</div><div class="line"><a name="l01346"></a><span class="lineno"> 1346</span>&#160; uint dst_stride_w)</div><div class="line"><a name="l01347"></a><span class="lineno"> 1347</span>&#160;{</div><div class="line"><a name="l01348"></a><span class="lineno"> 1348</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> x = get_global_id(0);</div><div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> y = get_global_id(1);</div><div class="line"><a name="l01350"></a><span class="lineno"> 1350</span>&#160;<span class="preprocessor">#if defined(NUM_TILES_Y)</span></div><div class="line"><a name="l01351"></a><span class="lineno"> 1351</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> z = get_global_id(2) % NUM_TILES_Y;</div><div class="line"><a name="l01352"></a><span class="lineno"> 1352</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = get_global_id(2) / NUM_TILES_Y;</div><div class="line"><a name="l01353"></a><span class="lineno"> 1353</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* defined(NUM_TILES_Y) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> z = get_global_id(2);</div><div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(NUM_TILES_Y) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01356"></a><span class="lineno"> 1356</span>&#160;</div><div class="line"><a name="l01357"></a><span class="lineno"> 1357</span>&#160; <span class="comment">// Compute input address</span></div><div class="line"><a name="l01358"></a><span class="lineno"> 1358</span>&#160;<span class="preprocessor">#if defined(NUM_TILES_Y)</span></div><div class="line"><a name="l01359"></a><span class="lineno"> 1359</span>&#160; __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * src_stride_w;</div><div class="line"><a name="l01360"></a><span class="lineno"> 1360</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* defined(NUM_TILES_Y) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01361"></a><span class="lineno"> 1361</span>&#160; __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>);</div><div class="line"><a name="l01362"></a><span class="lineno"> 1362</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(NUM_TILES_Y) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01363"></a><span class="lineno"> 1363</span>&#160;</div><div class="line"><a name="l01364"></a><span class="lineno"> 1364</span>&#160;<span class="preprocessor">#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL)</span></div><div class="line"><a name="l01365"></a><span class="lineno"> 1365</span>&#160; <span class="comment">// Clamp coordinates. This clamp is valid for all rows</span></div><div class="line"><a name="l01366"></a><span class="lineno"> 1366</span>&#160; int8 y_coord = (int8)(y * OUTPUT_TILE_W) + (int8)(0, 1, 2, 3, 4, 5, 6, 7) - (int8)PAD_LEFT;</div><div class="line"><a name="l01367"></a><span class="lineno"> 1367</span>&#160; y_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(y_coord, (int8) - 1, (int8)SRC_DIM_1);</div><div class="line"><a name="l01368"></a><span class="lineno"> 1368</span>&#160;</div><div class="line"><a name="l01369"></a><span class="lineno"> 1369</span>&#160; <span class="comment">// Row0</span></div><div class="line"><a name="l01370"></a><span class="lineno"> 1370</span>&#160; <span class="comment">// We can skip the border clamping along the z dimension as we cannot read out-of-bound in case of 5x1 kernels</span></div><div class="line"><a name="l01371"></a><span class="lineno"> 1371</span>&#160; <span class="keywordtype">int</span> z_coord = z * OUTPUT_TILE_H;</div><div class="line"><a name="l01372"></a><span class="lineno"> 1372</span>&#160;</div><div class="line"><a name="l01373"></a><span class="lineno"> 1373</span>&#160; <span class="comment">// Load the input tile</span></div><div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01375"></a><span class="lineno"> 1375</span>&#160; in_row0;</div><div class="line"><a name="l01376"></a><span class="lineno"> 1376</span>&#160; in_row0.s0 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + y_coord.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01377"></a><span class="lineno"> 1377</span>&#160; in_row0.s1 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + y_coord.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01378"></a><span class="lineno"> 1378</span>&#160; in_row0.s2 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + y_coord.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01379"></a><span class="lineno"> 1379</span>&#160; in_row0.s3 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + y_coord.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01380"></a><span class="lineno"> 1380</span>&#160; in_row0.s4 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + y_coord.s4 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01381"></a><span class="lineno"> 1381</span>&#160; in_row0.s5 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + y_coord.s5 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01382"></a><span class="lineno"> 1382</span>&#160; in_row0.s6 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + y_coord.s6 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01383"></a><span class="lineno"> 1383</span>&#160; in_row0.s7 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + y_coord.s7 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01384"></a><span class="lineno"> 1384</span>&#160;</div><div class="line"><a name="l01385"></a><span class="lineno"> 1385</span>&#160; <span class="comment">// Calculate common factors for intermediate tensor</span></div><div class="line"><a name="l01386"></a><span class="lineno"> 1386</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01387"></a><span class="lineno"> 1387</span>&#160; comm_fact0 = 0.0f;</div><div class="line"><a name="l01388"></a><span class="lineno"> 1388</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01389"></a><span class="lineno"> 1389</span>&#160; tmp0 = in_row0;</div><div class="line"><a name="l01390"></a><span class="lineno"> 1390</span>&#160;</div><div class="line"><a name="l01391"></a><span class="lineno"> 1391</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01392"></a><span class="lineno"> 1392</span>&#160; out0 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8))0.0f;</div><div class="line"><a name="l01393"></a><span class="lineno"> 1393</span>&#160;</div><div class="line"><a name="l01394"></a><span class="lineno"> 1394</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9">OUTPUT_ROW_4x4_5x5</a>(out0, tmp0, comm_fact0);</div><div class="line"><a name="l01395"></a><span class="lineno"> 1395</span>&#160;</div><div class="line"><a name="l01396"></a><span class="lineno"> 1396</span>&#160;<span class="preprocessor">#elif defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL)</span></div><div class="line"><a name="l01397"></a><span class="lineno"> 1397</span>&#160; <span class="comment">// We can skip the border clamping along the y dimension as we cannot read out-of-bound in case of 1x5 kernels</span></div><div class="line"><a name="l01398"></a><span class="lineno"> 1398</span>&#160; <span class="keywordtype">int</span> y_coord = y * (int)OUTPUT_TILE_W;</div><div class="line"><a name="l01399"></a><span class="lineno"> 1399</span>&#160;</div><div class="line"><a name="l01400"></a><span class="lineno"> 1400</span>&#160; <span class="comment">// Row0</span></div><div class="line"><a name="l01401"></a><span class="lineno"> 1401</span>&#160; <span class="comment">// We can skip the border clamping along the z dimension as we cannot read out-of-bound in case of 5x1 kernels</span></div><div class="line"><a name="l01402"></a><span class="lineno"> 1402</span>&#160; int8 z_coord = (int8)(z * OUTPUT_TILE_H) + (int8)(0, 1, 2, 3, 4, 5, 6, 7) - (int8)PAD_TOP;</div><div class="line"><a name="l01403"></a><span class="lineno"> 1403</span>&#160; int8 valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>((int8)y_coord, (int8) - 1, z_coord &lt; (int8)0); <span class="comment">// If z &lt; 0, set y to -1</span></div><div class="line"><a name="l01404"></a><span class="lineno"> 1404</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y, (int8)SRC_DIM_1, z_coord &gt;= (int8)SRC_DIM_2); <span class="comment">// If z &gt;= SRC_DIM_2, set y to SRC_DIM_2</span></div><div class="line"><a name="l01405"></a><span class="lineno"> 1405</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, (int8)0, (int8)SRC_DIM_2 - 1); <span class="comment">// Clamp z coordinate</span></div><div class="line"><a name="l01406"></a><span class="lineno"> 1406</span>&#160;</div><div class="line"><a name="l01407"></a><span class="lineno"> 1407</span>&#160; <span class="comment">// Load the input tile</span></div><div class="line"><a name="l01408"></a><span class="lineno"> 1408</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>&#160; in_row0;</div><div class="line"><a name="l01410"></a><span class="lineno"> 1410</span>&#160; in_row0.s0 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord.s0 * src_stride_z);</div><div class="line"><a name="l01411"></a><span class="lineno"> 1411</span>&#160; in_row0.s1 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord.s1 * src_stride_z);</div><div class="line"><a name="l01412"></a><span class="lineno"> 1412</span>&#160; in_row0.s2 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord.s2 * src_stride_z);</div><div class="line"><a name="l01413"></a><span class="lineno"> 1413</span>&#160; in_row0.s3 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord.s3 * src_stride_z);</div><div class="line"><a name="l01414"></a><span class="lineno"> 1414</span>&#160; in_row0.s4 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s4 * (<span class="keywordtype">int</span>)src_stride_y + z_coord.s4 * src_stride_z);</div><div class="line"><a name="l01415"></a><span class="lineno"> 1415</span>&#160; in_row0.s5 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s5 * (<span class="keywordtype">int</span>)src_stride_y + z_coord.s5 * src_stride_z);</div><div class="line"><a name="l01416"></a><span class="lineno"> 1416</span>&#160; in_row0.s6 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s6 * (<span class="keywordtype">int</span>)src_stride_y + z_coord.s6 * src_stride_z);</div><div class="line"><a name="l01417"></a><span class="lineno"> 1417</span>&#160; in_row0.s7 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s7 * (<span class="keywordtype">int</span>)src_stride_y + z_coord.s7 * src_stride_z);</div><div class="line"><a name="l01418"></a><span class="lineno"> 1418</span>&#160;</div><div class="line"><a name="l01419"></a><span class="lineno"> 1419</span>&#160; <span class="comment">// Calculate common factors for intermediate tensor</span></div><div class="line"><a name="l01420"></a><span class="lineno"> 1420</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01421"></a><span class="lineno"> 1421</span>&#160; comm_fact0 = 0.0f;</div><div class="line"><a name="l01422"></a><span class="lineno"> 1422</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01423"></a><span class="lineno"> 1423</span>&#160; tmp0 = in_row0;</div><div class="line"><a name="l01424"></a><span class="lineno"> 1424</span>&#160;</div><div class="line"><a name="l01425"></a><span class="lineno"> 1425</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01426"></a><span class="lineno"> 1426</span>&#160; out0 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8))0.0f;</div><div class="line"><a name="l01427"></a><span class="lineno"> 1427</span>&#160;</div><div class="line"><a name="l01428"></a><span class="lineno"> 1428</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9">OUTPUT_ROW_4x4_5x5</a>(out0, tmp0, comm_fact0);</div><div class="line"><a name="l01429"></a><span class="lineno"> 1429</span>&#160;<span class="preprocessor">#else // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL)</span></div><div class="line"><a name="l01430"></a><span class="lineno"> 1430</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01431"></a><span class="lineno"> 1431</span>&#160; in_row0, in_row1, in_row2, in_row3, in_row4, in_row5, in_row6, in_row7;</div><div class="line"><a name="l01432"></a><span class="lineno"> 1432</span>&#160;</div><div class="line"><a name="l01433"></a><span class="lineno"> 1433</span>&#160; <span class="comment">// Clamp coordinates. This clamp is valid for all rows</span></div><div class="line"><a name="l01434"></a><span class="lineno"> 1434</span>&#160; int8 y_coord = (int8)(y * OUTPUT_TILE_W) + (int8)(0, 1, 2, 3, 4, 5, 6, 7) - (int8)PAD_LEFT;</div><div class="line"><a name="l01435"></a><span class="lineno"> 1435</span>&#160; y_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(y_coord, (int8) - 1, (int8)SRC_DIM_1);</div><div class="line"><a name="l01436"></a><span class="lineno"> 1436</span>&#160;</div><div class="line"><a name="l01437"></a><span class="lineno"> 1437</span>&#160; <span class="comment">// Row0</span></div><div class="line"><a name="l01438"></a><span class="lineno"> 1438</span>&#160; <span class="keywordtype">int</span> z_coord = (z * (<span class="keywordtype">int</span>)OUTPUT_TILE_H) - (<span class="keywordtype">int</span>)PAD_TOP + 0;</div><div class="line"><a name="l01439"></a><span class="lineno"> 1439</span>&#160; int8 valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord, (int8) - 1, (int8)z_coord &lt; 0); <span class="comment">// If z &lt; 0, set y to -1</span></div><div class="line"><a name="l01440"></a><span class="lineno"> 1440</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y, (int8)SRC_DIM_1, (int8)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2); <span class="comment">// If z &gt;= SRC_DIM_2, set y to SRC_DIM_2</span></div><div class="line"><a name="l01441"></a><span class="lineno"> 1441</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1); <span class="comment">// Clamp z coordinate</span></div><div class="line"><a name="l01442"></a><span class="lineno"> 1442</span>&#160;</div><div class="line"><a name="l01443"></a><span class="lineno"> 1443</span>&#160; <span class="comment">// Load the input tile</span></div><div class="line"><a name="l01444"></a><span class="lineno"> 1444</span>&#160; in_row0.s0 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01445"></a><span class="lineno"> 1445</span>&#160; in_row0.s1 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01446"></a><span class="lineno"> 1446</span>&#160; in_row0.s2 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01447"></a><span class="lineno"> 1447</span>&#160; in_row0.s3 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01448"></a><span class="lineno"> 1448</span>&#160; in_row0.s4 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s4 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01449"></a><span class="lineno"> 1449</span>&#160; in_row0.s5 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s5 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01450"></a><span class="lineno"> 1450</span>&#160; in_row0.s6 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s6 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01451"></a><span class="lineno"> 1451</span>&#160; in_row0.s7 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s7 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01452"></a><span class="lineno"> 1452</span>&#160;</div><div class="line"><a name="l01453"></a><span class="lineno"> 1453</span>&#160; <span class="comment">// Row1</span></div><div class="line"><a name="l01454"></a><span class="lineno"> 1454</span>&#160; z_coord = (z * (<span class="keywordtype">int</span>)OUTPUT_TILE_H) - (<span class="keywordtype">int</span>)PAD_TOP + 1;</div><div class="line"><a name="l01455"></a><span class="lineno"> 1455</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord, (int8) - 1, (int8)z_coord &lt; 0);</div><div class="line"><a name="l01456"></a><span class="lineno"> 1456</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y, (int8)SRC_DIM_1, (int8)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01457"></a><span class="lineno"> 1457</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l01458"></a><span class="lineno"> 1458</span>&#160;</div><div class="line"><a name="l01459"></a><span class="lineno"> 1459</span>&#160; in_row1.s0 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01460"></a><span class="lineno"> 1460</span>&#160; in_row1.s1 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01461"></a><span class="lineno"> 1461</span>&#160; in_row1.s2 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01462"></a><span class="lineno"> 1462</span>&#160; in_row1.s3 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01463"></a><span class="lineno"> 1463</span>&#160; in_row1.s4 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s4 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01464"></a><span class="lineno"> 1464</span>&#160; in_row1.s5 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s5 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01465"></a><span class="lineno"> 1465</span>&#160; in_row1.s6 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s6 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01466"></a><span class="lineno"> 1466</span>&#160; in_row1.s7 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s7 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01467"></a><span class="lineno"> 1467</span>&#160;</div><div class="line"><a name="l01468"></a><span class="lineno"> 1468</span>&#160; <span class="comment">// Row2</span></div><div class="line"><a name="l01469"></a><span class="lineno"> 1469</span>&#160; z_coord = (z * (<span class="keywordtype">int</span>)OUTPUT_TILE_H) - (<span class="keywordtype">int</span>)PAD_TOP + 2;</div><div class="line"><a name="l01470"></a><span class="lineno"> 1470</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord, (int8) - 1, (int8)z_coord &lt; 0);</div><div class="line"><a name="l01471"></a><span class="lineno"> 1471</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y, (int8)SRC_DIM_1, (int8)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01472"></a><span class="lineno"> 1472</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l01473"></a><span class="lineno"> 1473</span>&#160;</div><div class="line"><a name="l01474"></a><span class="lineno"> 1474</span>&#160; in_row2.s0 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01475"></a><span class="lineno"> 1475</span>&#160; in_row2.s1 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01476"></a><span class="lineno"> 1476</span>&#160; in_row2.s2 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01477"></a><span class="lineno"> 1477</span>&#160; in_row2.s3 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01478"></a><span class="lineno"> 1478</span>&#160; in_row2.s4 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s4 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01479"></a><span class="lineno"> 1479</span>&#160; in_row2.s5 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s5 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01480"></a><span class="lineno"> 1480</span>&#160; in_row2.s6 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s6 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01481"></a><span class="lineno"> 1481</span>&#160; in_row2.s7 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s7 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01482"></a><span class="lineno"> 1482</span>&#160;</div><div class="line"><a name="l01483"></a><span class="lineno"> 1483</span>&#160; <span class="comment">// Row3</span></div><div class="line"><a name="l01484"></a><span class="lineno"> 1484</span>&#160; z_coord = (z * (<span class="keywordtype">int</span>)OUTPUT_TILE_H) - (<span class="keywordtype">int</span>)PAD_TOP + 3;</div><div class="line"><a name="l01485"></a><span class="lineno"> 1485</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord, (int8) - 1, (int8)z_coord &lt; 0);</div><div class="line"><a name="l01486"></a><span class="lineno"> 1486</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y, (int8)SRC_DIM_1, (int8)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01487"></a><span class="lineno"> 1487</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l01488"></a><span class="lineno"> 1488</span>&#160;</div><div class="line"><a name="l01489"></a><span class="lineno"> 1489</span>&#160; in_row3.s0 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01490"></a><span class="lineno"> 1490</span>&#160; in_row3.s1 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01491"></a><span class="lineno"> 1491</span>&#160; in_row3.s2 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01492"></a><span class="lineno"> 1492</span>&#160; in_row3.s3 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01493"></a><span class="lineno"> 1493</span>&#160; in_row3.s4 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s4 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01494"></a><span class="lineno"> 1494</span>&#160; in_row3.s5 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s5 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01495"></a><span class="lineno"> 1495</span>&#160; in_row3.s6 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s6 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01496"></a><span class="lineno"> 1496</span>&#160; in_row3.s7 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s7 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01497"></a><span class="lineno"> 1497</span>&#160;</div><div class="line"><a name="l01498"></a><span class="lineno"> 1498</span>&#160; <span class="comment">// Row4</span></div><div class="line"><a name="l01499"></a><span class="lineno"> 1499</span>&#160; z_coord = (z * (<span class="keywordtype">int</span>)OUTPUT_TILE_H) - (<span class="keywordtype">int</span>)PAD_TOP + 4;</div><div class="line"><a name="l01500"></a><span class="lineno"> 1500</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord, (int8) - 1, (int8)z_coord &lt; 0);</div><div class="line"><a name="l01501"></a><span class="lineno"> 1501</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y, (int8)SRC_DIM_1, (int8)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01502"></a><span class="lineno"> 1502</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l01503"></a><span class="lineno"> 1503</span>&#160;</div><div class="line"><a name="l01504"></a><span class="lineno"> 1504</span>&#160; in_row4.s0 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01505"></a><span class="lineno"> 1505</span>&#160; in_row4.s1 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01506"></a><span class="lineno"> 1506</span>&#160; in_row4.s2 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01507"></a><span class="lineno"> 1507</span>&#160; in_row4.s3 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01508"></a><span class="lineno"> 1508</span>&#160; in_row4.s4 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s4 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01509"></a><span class="lineno"> 1509</span>&#160; in_row4.s5 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s5 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01510"></a><span class="lineno"> 1510</span>&#160; in_row4.s6 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s6 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01511"></a><span class="lineno"> 1511</span>&#160; in_row4.s7 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s7 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01512"></a><span class="lineno"> 1512</span>&#160;</div><div class="line"><a name="l01513"></a><span class="lineno"> 1513</span>&#160; <span class="comment">// Row5</span></div><div class="line"><a name="l01514"></a><span class="lineno"> 1514</span>&#160; z_coord = (z * (<span class="keywordtype">int</span>)OUTPUT_TILE_H) - (<span class="keywordtype">int</span>)PAD_TOP + 5;</div><div class="line"><a name="l01515"></a><span class="lineno"> 1515</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord, (int8) - 1, (int8)z_coord &lt; 0);</div><div class="line"><a name="l01516"></a><span class="lineno"> 1516</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y, (int8)SRC_DIM_1, (int8)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01517"></a><span class="lineno"> 1517</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l01518"></a><span class="lineno"> 1518</span>&#160;</div><div class="line"><a name="l01519"></a><span class="lineno"> 1519</span>&#160; in_row5.s0 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01520"></a><span class="lineno"> 1520</span>&#160; in_row5.s1 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01521"></a><span class="lineno"> 1521</span>&#160; in_row5.s2 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01522"></a><span class="lineno"> 1522</span>&#160; in_row5.s3 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01523"></a><span class="lineno"> 1523</span>&#160; in_row5.s4 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s4 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01524"></a><span class="lineno"> 1524</span>&#160; in_row5.s5 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s5 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01525"></a><span class="lineno"> 1525</span>&#160; in_row5.s6 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s6 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01526"></a><span class="lineno"> 1526</span>&#160; in_row5.s7 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s7 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01527"></a><span class="lineno"> 1527</span>&#160;</div><div class="line"><a name="l01528"></a><span class="lineno"> 1528</span>&#160; <span class="comment">// Row6</span></div><div class="line"><a name="l01529"></a><span class="lineno"> 1529</span>&#160; z_coord = (z * (<span class="keywordtype">int</span>)OUTPUT_TILE_H) - (<span class="keywordtype">int</span>)PAD_TOP + 6;</div><div class="line"><a name="l01530"></a><span class="lineno"> 1530</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord, (int8) - 1, (int8)z_coord &lt; 0);</div><div class="line"><a name="l01531"></a><span class="lineno"> 1531</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y, (int8)SRC_DIM_1, (int8)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01532"></a><span class="lineno"> 1532</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l01533"></a><span class="lineno"> 1533</span>&#160;</div><div class="line"><a name="l01534"></a><span class="lineno"> 1534</span>&#160; in_row6.s0 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01535"></a><span class="lineno"> 1535</span>&#160; in_row6.s1 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01536"></a><span class="lineno"> 1536</span>&#160; in_row6.s2 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01537"></a><span class="lineno"> 1537</span>&#160; in_row6.s3 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01538"></a><span class="lineno"> 1538</span>&#160; in_row6.s4 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s4 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01539"></a><span class="lineno"> 1539</span>&#160; in_row6.s5 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s5 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01540"></a><span class="lineno"> 1540</span>&#160; in_row6.s6 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s6 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01541"></a><span class="lineno"> 1541</span>&#160; in_row6.s7 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s7 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01542"></a><span class="lineno"> 1542</span>&#160;</div><div class="line"><a name="l01543"></a><span class="lineno"> 1543</span>&#160; <span class="comment">// Row7</span></div><div class="line"><a name="l01544"></a><span class="lineno"> 1544</span>&#160; z_coord = (z * (<span class="keywordtype">int</span>)OUTPUT_TILE_H) - (<span class="keywordtype">int</span>)PAD_TOP + 7;</div><div class="line"><a name="l01545"></a><span class="lineno"> 1545</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord, (int8) - 1, (int8)z_coord &lt; 0);</div><div class="line"><a name="l01546"></a><span class="lineno"> 1546</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y, (int8)SRC_DIM_1, (int8)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01547"></a><span class="lineno"> 1547</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l01548"></a><span class="lineno"> 1548</span>&#160;</div><div class="line"><a name="l01549"></a><span class="lineno"> 1549</span>&#160; in_row7.s0 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01550"></a><span class="lineno"> 1550</span>&#160; in_row7.s1 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01551"></a><span class="lineno"> 1551</span>&#160; in_row7.s2 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01552"></a><span class="lineno"> 1552</span>&#160; in_row7.s3 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01553"></a><span class="lineno"> 1553</span>&#160; in_row7.s4 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s4 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01554"></a><span class="lineno"> 1554</span>&#160; in_row7.s5 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s5 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01555"></a><span class="lineno"> 1555</span>&#160; in_row7.s6 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s6 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01556"></a><span class="lineno"> 1556</span>&#160; in_row7.s7 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s7 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * src_stride_z);</div><div class="line"><a name="l01557"></a><span class="lineno"> 1557</span>&#160;</div><div class="line"><a name="l01558"></a><span class="lineno"> 1558</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01559"></a><span class="lineno"> 1559</span>&#160; comm_fact0 = in_row2 + in_row6 - (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)4.25f * in_row4;</div><div class="line"><a name="l01560"></a><span class="lineno"> 1560</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01561"></a><span class="lineno"> 1561</span>&#160; comm_fact1 = in_row1 + in_row5 - (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)4.25f * in_row3;</div><div class="line"><a name="l01562"></a><span class="lineno"> 1562</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01563"></a><span class="lineno"> 1563</span>&#160; comm_fact2 = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)0.25f * in_row2 - (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)1.25f * in_row4 + in_row6;</div><div class="line"><a name="l01564"></a><span class="lineno"> 1564</span>&#160;</div><div class="line"><a name="l01565"></a><span class="lineno"> 1565</span>&#160; <span class="comment">// Calculate intermediate tensor and reuse common factor vectors</span></div><div class="line"><a name="l01566"></a><span class="lineno"> 1566</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp0 = in_row0 - in_row6 + (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)5.25f * in_row4 - (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)5.25f * in_row2;</div><div class="line"><a name="l01567"></a><span class="lineno"> 1567</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp1 = comm_fact0 + comm_fact1;</div><div class="line"><a name="l01568"></a><span class="lineno"> 1568</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp2 = comm_fact0 - comm_fact1;</div><div class="line"><a name="l01569"></a><span class="lineno"> 1569</span>&#160;</div><div class="line"><a name="l01570"></a><span class="lineno"> 1570</span>&#160; comm_fact0 = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)2.5f * in_row3;</div><div class="line"><a name="l01571"></a><span class="lineno"> 1571</span>&#160; comm_fact1 = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)0.5f * in_row1 - comm_fact0 + (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)2.f * in_row5;</div><div class="line"><a name="l01572"></a><span class="lineno"> 1572</span>&#160;</div><div class="line"><a name="l01573"></a><span class="lineno"> 1573</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp3 = comm_fact1 + comm_fact2;</div><div class="line"><a name="l01574"></a><span class="lineno"> 1574</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp4 = comm_fact2 - comm_fact1;</div><div class="line"><a name="l01575"></a><span class="lineno"> 1575</span>&#160;</div><div class="line"><a name="l01576"></a><span class="lineno"> 1576</span>&#160; comm_fact1 = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)2.f * in_row1 - comm_fact0 + (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)0.5f * in_row5;</div><div class="line"><a name="l01577"></a><span class="lineno"> 1577</span>&#160; comm_fact2 = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)4.f * in_row2 - (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)5.f * in_row4 + in_row6;</div><div class="line"><a name="l01578"></a><span class="lineno"> 1578</span>&#160;</div><div class="line"><a name="l01579"></a><span class="lineno"> 1579</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp5 = comm_fact1 + comm_fact2;</div><div class="line"><a name="l01580"></a><span class="lineno"> 1580</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp6 = comm_fact2 - comm_fact1;</div><div class="line"><a name="l01581"></a><span class="lineno"> 1581</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp7 = in_row7 - in_row1 + (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)5.25f * in_row3 - (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)5.25f * in_row5;</div><div class="line"><a name="l01582"></a><span class="lineno"> 1582</span>&#160;</div><div class="line"><a name="l01583"></a><span class="lineno"> 1583</span>&#160; <span class="comment">// Calculate output rows (reuse comm_fact0 vector)</span></div><div class="line"><a name="l01584"></a><span class="lineno"> 1584</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01585"></a><span class="lineno"> 1585</span>&#160; out0, out1, out2, out3, out4, out5, out6, out7;</div><div class="line"><a name="l01586"></a><span class="lineno"> 1586</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9">OUTPUT_ROW_4x4_5x5</a>(out0, tmp0, comm_fact0);</div><div class="line"><a name="l01587"></a><span class="lineno"> 1587</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9">OUTPUT_ROW_4x4_5x5</a>(out1, tmp1, comm_fact0);</div><div class="line"><a name="l01588"></a><span class="lineno"> 1588</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9">OUTPUT_ROW_4x4_5x5</a>(out2, tmp2, comm_fact0);</div><div class="line"><a name="l01589"></a><span class="lineno"> 1589</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9">OUTPUT_ROW_4x4_5x5</a>(out3, tmp3, comm_fact0);</div><div class="line"><a name="l01590"></a><span class="lineno"> 1590</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9">OUTPUT_ROW_4x4_5x5</a>(out4, tmp4, comm_fact0);</div><div class="line"><a name="l01591"></a><span class="lineno"> 1591</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9">OUTPUT_ROW_4x4_5x5</a>(out5, tmp5, comm_fact0);</div><div class="line"><a name="l01592"></a><span class="lineno"> 1592</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9">OUTPUT_ROW_4x4_5x5</a>(out6, tmp6, comm_fact0);</div><div class="line"><a name="l01593"></a><span class="lineno"> 1593</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9">OUTPUT_ROW_4x4_5x5</a>(out7, tmp7, comm_fact0);</div><div class="line"><a name="l01594"></a><span class="lineno"> 1594</span>&#160;<span class="preprocessor">#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l01595"></a><span class="lineno"> 1595</span>&#160;</div><div class="line"><a name="l01596"></a><span class="lineno"> 1596</span>&#160; <span class="comment">// Store values across the channels</span></div><div class="line"><a name="l01597"></a><span class="lineno"> 1597</span>&#160;<span class="preprocessor">#if defined(NUM_TILES_Y)</span></div><div class="line"><a name="l01598"></a><span class="lineno"> 1598</span>&#160; __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + (y + z * (<span class="keywordtype">int</span>)NUM_TILES_X) * dst_stride_y + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * dst_stride_w;</div><div class="line"><a name="l01599"></a><span class="lineno"> 1599</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* NUM_TILES_Y */</span><span class="preprocessor"></span></div><div class="line"><a name="l01600"></a><span class="lineno"> 1600</span>&#160; __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + (y + z * (<span class="keywordtype">int</span>)NUM_TILES_X) * dst_stride_y;</div><div class="line"><a name="l01601"></a><span class="lineno"> 1601</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* NUM_TILES_Y */</span><span class="preprocessor"></span></div><div class="line"><a name="l01602"></a><span class="lineno"> 1602</span>&#160;</div><div class="line"><a name="l01603"></a><span class="lineno"> 1603</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 0 * dst_stride_z)) = out0.s0;</div><div class="line"><a name="l01604"></a><span class="lineno"> 1604</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 1 * dst_stride_z)) = out0.s1;</div><div class="line"><a name="l01605"></a><span class="lineno"> 1605</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 2 * dst_stride_z)) = out0.s2;</div><div class="line"><a name="l01606"></a><span class="lineno"> 1606</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 3 * dst_stride_z)) = out0.s3;</div><div class="line"><a name="l01607"></a><span class="lineno"> 1607</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 4 * dst_stride_z)) = out0.s4;</div><div class="line"><a name="l01608"></a><span class="lineno"> 1608</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 5 * dst_stride_z)) = out0.s5;</div><div class="line"><a name="l01609"></a><span class="lineno"> 1609</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 6 * dst_stride_z)) = out0.s6;</div><div class="line"><a name="l01610"></a><span class="lineno"> 1610</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 7 * dst_stride_z)) = out0.s7;</div><div class="line"><a name="l01611"></a><span class="lineno"> 1611</span>&#160;</div><div class="line"><a name="l01612"></a><span class="lineno"> 1612</span>&#160;<span class="preprocessor">#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l01613"></a><span class="lineno"> 1613</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 8 * dst_stride_z)) = out1.s0;</div><div class="line"><a name="l01614"></a><span class="lineno"> 1614</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 9 * dst_stride_z)) = out1.s1;</div><div class="line"><a name="l01615"></a><span class="lineno"> 1615</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 10 * dst_stride_z)) = out1.s2;</div><div class="line"><a name="l01616"></a><span class="lineno"> 1616</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 11 * dst_stride_z)) = out1.s3;</div><div class="line"><a name="l01617"></a><span class="lineno"> 1617</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 12 * dst_stride_z)) = out1.s4;</div><div class="line"><a name="l01618"></a><span class="lineno"> 1618</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 13 * dst_stride_z)) = out1.s5;</div><div class="line"><a name="l01619"></a><span class="lineno"> 1619</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 14 * dst_stride_z)) = out1.s6;</div><div class="line"><a name="l01620"></a><span class="lineno"> 1620</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 15 * dst_stride_z)) = out1.s7;</div><div class="line"><a name="l01621"></a><span class="lineno"> 1621</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 16 * dst_stride_z)) = out2.s0;</div><div class="line"><a name="l01622"></a><span class="lineno"> 1622</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 17 * dst_stride_z)) = out2.s1;</div><div class="line"><a name="l01623"></a><span class="lineno"> 1623</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 18 * dst_stride_z)) = out2.s2;</div><div class="line"><a name="l01624"></a><span class="lineno"> 1624</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 19 * dst_stride_z)) = out2.s3;</div><div class="line"><a name="l01625"></a><span class="lineno"> 1625</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 20 * dst_stride_z)) = out2.s4;</div><div class="line"><a name="l01626"></a><span class="lineno"> 1626</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 21 * dst_stride_z)) = out2.s5;</div><div class="line"><a name="l01627"></a><span class="lineno"> 1627</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 22 * dst_stride_z)) = out2.s6;</div><div class="line"><a name="l01628"></a><span class="lineno"> 1628</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 23 * dst_stride_z)) = out2.s7;</div><div class="line"><a name="l01629"></a><span class="lineno"> 1629</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 24 * dst_stride_z)) = out3.s0;</div><div class="line"><a name="l01630"></a><span class="lineno"> 1630</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 25 * dst_stride_z)) = out3.s1;</div><div class="line"><a name="l01631"></a><span class="lineno"> 1631</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 26 * dst_stride_z)) = out3.s2;</div><div class="line"><a name="l01632"></a><span class="lineno"> 1632</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 27 * dst_stride_z)) = out3.s3;</div><div class="line"><a name="l01633"></a><span class="lineno"> 1633</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 28 * dst_stride_z)) = out3.s4;</div><div class="line"><a name="l01634"></a><span class="lineno"> 1634</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 29 * dst_stride_z)) = out3.s5;</div><div class="line"><a name="l01635"></a><span class="lineno"> 1635</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 30 * dst_stride_z)) = out3.s6;</div><div class="line"><a name="l01636"></a><span class="lineno"> 1636</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 31 * dst_stride_z)) = out3.s7;</div><div class="line"><a name="l01637"></a><span class="lineno"> 1637</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 32 * dst_stride_z)) = out4.s0;</div><div class="line"><a name="l01638"></a><span class="lineno"> 1638</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 33 * dst_stride_z)) = out4.s1;</div><div class="line"><a name="l01639"></a><span class="lineno"> 1639</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 34 * dst_stride_z)) = out4.s2;</div><div class="line"><a name="l01640"></a><span class="lineno"> 1640</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 35 * dst_stride_z)) = out4.s3;</div><div class="line"><a name="l01641"></a><span class="lineno"> 1641</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 36 * dst_stride_z)) = out4.s4;</div><div class="line"><a name="l01642"></a><span class="lineno"> 1642</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 37 * dst_stride_z)) = out4.s5;</div><div class="line"><a name="l01643"></a><span class="lineno"> 1643</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 38 * dst_stride_z)) = out4.s6;</div><div class="line"><a name="l01644"></a><span class="lineno"> 1644</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 39 * dst_stride_z)) = out4.s7;</div><div class="line"><a name="l01645"></a><span class="lineno"> 1645</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 40 * dst_stride_z)) = out5.s0;</div><div class="line"><a name="l01646"></a><span class="lineno"> 1646</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 41 * dst_stride_z)) = out5.s1;</div><div class="line"><a name="l01647"></a><span class="lineno"> 1647</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 42 * dst_stride_z)) = out5.s2;</div><div class="line"><a name="l01648"></a><span class="lineno"> 1648</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 43 * dst_stride_z)) = out5.s3;</div><div class="line"><a name="l01649"></a><span class="lineno"> 1649</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 44 * dst_stride_z)) = out5.s4;</div><div class="line"><a name="l01650"></a><span class="lineno"> 1650</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 45 * dst_stride_z)) = out5.s5;</div><div class="line"><a name="l01651"></a><span class="lineno"> 1651</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 46 * dst_stride_z)) = out5.s6;</div><div class="line"><a name="l01652"></a><span class="lineno"> 1652</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 47 * dst_stride_z)) = out5.s7;</div><div class="line"><a name="l01653"></a><span class="lineno"> 1653</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 48 * dst_stride_z)) = out6.s0;</div><div class="line"><a name="l01654"></a><span class="lineno"> 1654</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 49 * dst_stride_z)) = out6.s1;</div><div class="line"><a name="l01655"></a><span class="lineno"> 1655</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 50 * dst_stride_z)) = out6.s2;</div><div class="line"><a name="l01656"></a><span class="lineno"> 1656</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 51 * dst_stride_z)) = out6.s3;</div><div class="line"><a name="l01657"></a><span class="lineno"> 1657</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 52 * dst_stride_z)) = out6.s4;</div><div class="line"><a name="l01658"></a><span class="lineno"> 1658</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 53 * dst_stride_z)) = out6.s5;</div><div class="line"><a name="l01659"></a><span class="lineno"> 1659</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 54 * dst_stride_z)) = out6.s6;</div><div class="line"><a name="l01660"></a><span class="lineno"> 1660</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 55 * dst_stride_z)) = out6.s7;</div><div class="line"><a name="l01661"></a><span class="lineno"> 1661</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 56 * dst_stride_z)) = out7.s0;</div><div class="line"><a name="l01662"></a><span class="lineno"> 1662</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 57 * dst_stride_z)) = out7.s1;</div><div class="line"><a name="l01663"></a><span class="lineno"> 1663</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 58 * dst_stride_z)) = out7.s2;</div><div class="line"><a name="l01664"></a><span class="lineno"> 1664</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 59 * dst_stride_z)) = out7.s3;</div><div class="line"><a name="l01665"></a><span class="lineno"> 1665</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 60 * dst_stride_z)) = out7.s4;</div><div class="line"><a name="l01666"></a><span class="lineno"> 1666</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 61 * dst_stride_z)) = out7.s5;</div><div class="line"><a name="l01667"></a><span class="lineno"> 1667</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 62 * dst_stride_z)) = out7.s6;</div><div class="line"><a name="l01668"></a><span class="lineno"> 1668</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 63 * dst_stride_z)) = out7.s7;</div><div class="line"><a name="l01669"></a><span class="lineno"> 1669</span>&#160;<span class="preprocessor">#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l01670"></a><span class="lineno"> 1670</span>&#160;}</div><div class="line"><a name="l01671"></a><span class="lineno"> 1671</span>&#160;<span class="comment"></span></div><div class="line"><a name="l01672"></a><span class="lineno"> 1672</span>&#160;<span class="comment">/** This OpenCL kernel computes the input transform when the kernel size is 7x7/7x1/1x7 and the output tile is 2x2/7x1/1x7 when the data layout is NHWC</span></div><div class="line"><a name="l01673"></a><span class="lineno"> 1673</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l01674"></a><span class="lineno"> 1674</span>&#160;<span class="comment"> * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=7).</span></div><div class="line"><a name="l01675"></a><span class="lineno"> 1675</span>&#160;<span class="comment"> * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).</span></div><div class="line"><a name="l01676"></a><span class="lineno"> 1676</span>&#160;<span class="comment"> * @note Dimension one of the input tensor (width for NHWC data layout) must be passed at compile time using -DSRC_DIM1 (e.g. -DSRC_DIM_1=112)</span></div><div class="line"><a name="l01677"></a><span class="lineno"> 1677</span>&#160;<span class="comment"> * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112)</span></div><div class="line"><a name="l01678"></a><span class="lineno"> 1678</span>&#160;<span class="comment"> * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2</span></div><div class="line"><a name="l01679"></a><span class="lineno"> 1679</span>&#160;<span class="comment"> * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2</span></div><div class="line"><a name="l01680"></a><span class="lineno"> 1680</span>&#160;<span class="comment"> * @note If this kernel is used to perform Winograd input transform 7x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time</span></div><div class="line"><a name="l01681"></a><span class="lineno"> 1681</span>&#160;<span class="comment"> * @note If this kernel is used to perform Winograd input transform 1x7, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time</span></div><div class="line"><a name="l01682"></a><span class="lineno"> 1682</span>&#160;<span class="comment"> * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half.</span></div><div class="line"><a name="l01683"></a><span class="lineno"> 1683</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l01684"></a><span class="lineno"> 1684</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image. Supported data types: F32</span></div><div class="line"><a name="l01685"></a><span class="lineno"> 1685</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l01686"></a><span class="lineno"> 1686</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l01687"></a><span class="lineno"> 1687</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l01688"></a><span class="lineno"> 1688</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l01689"></a><span class="lineno"> 1689</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l01690"></a><span class="lineno"> 1690</span>&#160;<span class="comment"> * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l01691"></a><span class="lineno"> 1691</span>&#160;<span class="comment"> * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l01692"></a><span class="lineno"> 1692</span>&#160;<span class="comment"> * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr</span></div><div class="line"><a name="l01693"></a><span class="lineno"> 1693</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l01694"></a><span class="lineno"> 1694</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l01695"></a><span class="lineno"> 1695</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l01696"></a><span class="lineno"> 1696</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l01697"></a><span class="lineno"> 1697</span>&#160;<span class="comment"> * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l01698"></a><span class="lineno"> 1698</span>&#160;<span class="comment"> * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l01699"></a><span class="lineno"> 1699</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l01700"></a><span class="lineno"> 1700</span>&#160;<span class="comment"> * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l01701"></a><span class="lineno"> 1701</span>&#160;<span class="comment"> * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l01702"></a><span class="lineno"> 1702</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l01703"></a><span class="lineno"> 1703</span>&#160;__kernel <span class="keywordtype">void</span> winograd_input_transform_2x2_7x7_stepz1_nhwc(</div><div class="line"><a name="l01704"></a><span class="lineno"> 1704</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l01705"></a><span class="lineno"> 1705</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l01706"></a><span class="lineno"> 1706</span>&#160; uint src_stride_w,</div><div class="line"><a name="l01707"></a><span class="lineno"> 1707</span>&#160; uint dst_stride_w)</div><div class="line"><a name="l01708"></a><span class="lineno"> 1708</span>&#160;{</div><div class="line"><a name="l01709"></a><span class="lineno"> 1709</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> x = get_global_id(0);</div><div class="line"><a name="l01710"></a><span class="lineno"> 1710</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> y = get_global_id(1);</div><div class="line"><a name="l01711"></a><span class="lineno"> 1711</span>&#160;<span class="preprocessor">#if defined(NUM_TILES_Y)</span></div><div class="line"><a name="l01712"></a><span class="lineno"> 1712</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> z = get_global_id(2) % NUM_TILES_Y;</div><div class="line"><a name="l01713"></a><span class="lineno"> 1713</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = get_global_id(2) / NUM_TILES_Y;</div><div class="line"><a name="l01714"></a><span class="lineno"> 1714</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* defined(NUM_TILES_Y) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01715"></a><span class="lineno"> 1715</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> z = get_global_id(2);</div><div class="line"><a name="l01716"></a><span class="lineno"> 1716</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(NUM_TILES_Y) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01717"></a><span class="lineno"> 1717</span>&#160;</div><div class="line"><a name="l01718"></a><span class="lineno"> 1718</span>&#160; <span class="comment">// Compute input address</span></div><div class="line"><a name="l01719"></a><span class="lineno"> 1719</span>&#160;<span class="preprocessor">#if defined(NUM_TILES_Y)</span></div><div class="line"><a name="l01720"></a><span class="lineno"> 1720</span>&#160; __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * src_stride_w;</div><div class="line"><a name="l01721"></a><span class="lineno"> 1721</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* defined(NUM_TILES_Y) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01722"></a><span class="lineno"> 1722</span>&#160; __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>);</div><div class="line"><a name="l01723"></a><span class="lineno"> 1723</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(NUM_TILES_Y) */</span><span class="preprocessor"></span></div><div class="line"><a name="l01724"></a><span class="lineno"> 1724</span>&#160;</div><div class="line"><a name="l01725"></a><span class="lineno"> 1725</span>&#160;<span class="preprocessor">#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL)</span></div><div class="line"><a name="l01726"></a><span class="lineno"> 1726</span>&#160;</div><div class="line"><a name="l01727"></a><span class="lineno"> 1727</span>&#160; <span class="comment">// Clamp coordinates. This clamp is valid for all rows</span></div><div class="line"><a name="l01728"></a><span class="lineno"> 1728</span>&#160; int8 y_coord = (int8)(y * OUTPUT_TILE_W) + (int8)(0, 1, 2, 3, 4, 5, 6, 7) - (int8)PAD_LEFT;</div><div class="line"><a name="l01729"></a><span class="lineno"> 1729</span>&#160; y_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(y_coord, (int8) - 1, (int8)SRC_DIM_1);</div><div class="line"><a name="l01730"></a><span class="lineno"> 1730</span>&#160;</div><div class="line"><a name="l01731"></a><span class="lineno"> 1731</span>&#160; <span class="comment">// Clamp coordinates. This clamp is valid for all columns</span></div><div class="line"><a name="l01732"></a><span class="lineno"> 1732</span>&#160; <span class="keywordtype">int</span> z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 0;</div><div class="line"><a name="l01733"></a><span class="lineno"> 1733</span>&#160; int8 valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord, (int8) - 1, (int8)z_coord &lt; 0); <span class="comment">// If z &lt; 0, set y to -1</span></div><div class="line"><a name="l01734"></a><span class="lineno"> 1734</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y, (int8)SRC_DIM_1, (int8)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2); <span class="comment">// If z &gt;= SRC_DIM_2, set y to SRC_DIM_2</span></div><div class="line"><a name="l01735"></a><span class="lineno"> 1735</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l01736"></a><span class="lineno"> 1736</span>&#160;</div><div class="line"><a name="l01737"></a><span class="lineno"> 1737</span>&#160; <span class="comment">// Load the input tile</span></div><div class="line"><a name="l01738"></a><span class="lineno"> 1738</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01739"></a><span class="lineno"> 1739</span>&#160; in_row0;</div><div class="line"><a name="l01740"></a><span class="lineno"> 1740</span>&#160; in_row0.s0 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01741"></a><span class="lineno"> 1741</span>&#160; in_row0.s1 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01742"></a><span class="lineno"> 1742</span>&#160; in_row0.s2 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01743"></a><span class="lineno"> 1743</span>&#160; in_row0.s3 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01744"></a><span class="lineno"> 1744</span>&#160; in_row0.s4 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s4 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01745"></a><span class="lineno"> 1745</span>&#160; in_row0.s5 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s5 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01746"></a><span class="lineno"> 1746</span>&#160; in_row0.s6 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s6 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01747"></a><span class="lineno"> 1747</span>&#160; in_row0.s7 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s7 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01748"></a><span class="lineno"> 1748</span>&#160;</div><div class="line"><a name="l01749"></a><span class="lineno"> 1749</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01750"></a><span class="lineno"> 1750</span>&#160; out0 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8))0.0f;</div><div class="line"><a name="l01751"></a><span class="lineno"> 1751</span>&#160;</div><div class="line"><a name="l01752"></a><span class="lineno"> 1752</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01753"></a><span class="lineno"> 1753</span>&#160; tmp0 = ((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)) - 36.0f) * in_row0;</div><div class="line"><a name="l01754"></a><span class="lineno"> 1754</span>&#160;</div><div class="line"><a name="l01755"></a><span class="lineno"> 1755</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01756"></a><span class="lineno"> 1756</span>&#160; comm_fact0 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8))0.0f;</div><div class="line"><a name="l01757"></a><span class="lineno"> 1757</span>&#160;</div><div class="line"><a name="l01758"></a><span class="lineno"> 1758</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a4b01af9651d23ef289e82a4db19aac7f">OUTPUT_ROW_2x2_7x7</a>(out0, tmp0, comm_fact0);</div><div class="line"><a name="l01759"></a><span class="lineno"> 1759</span>&#160;</div><div class="line"><a name="l01760"></a><span class="lineno"> 1760</span>&#160;<span class="preprocessor">#elif defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL)</span></div><div class="line"><a name="l01761"></a><span class="lineno"> 1761</span>&#160; <span class="comment">// We can skip the border clamping along the y dimension as we cannot read out-of-bound in case of 1x5 kernels</span></div><div class="line"><a name="l01762"></a><span class="lineno"> 1762</span>&#160; <span class="keywordtype">int</span> y_coord = y * (int)OUTPUT_TILE_W;</div><div class="line"><a name="l01763"></a><span class="lineno"> 1763</span>&#160;</div><div class="line"><a name="l01764"></a><span class="lineno"> 1764</span>&#160; <span class="comment">// Row0</span></div><div class="line"><a name="l01765"></a><span class="lineno"> 1765</span>&#160; <span class="comment">// We can skip the border clamping along the z dimension as we cannot read out-of-bound in case of 5x1 kernels</span></div><div class="line"><a name="l01766"></a><span class="lineno"> 1766</span>&#160; int8 z_coord = (int8)(z * OUTPUT_TILE_H) + (int8)(0, 1, 2, 3, 4, 5, 6, 7) - (int8)PAD_TOP;</div><div class="line"><a name="l01767"></a><span class="lineno"> 1767</span>&#160; int8 valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>((int8)y_coord, (int8) - 1, z_coord &lt; (int8)0); <span class="comment">// If z &lt; 0, set y to -1</span></div><div class="line"><a name="l01768"></a><span class="lineno"> 1768</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y, (int8)SRC_DIM_1, z_coord &gt;= (int8)SRC_DIM_2); <span class="comment">// If z &gt;= SRC_DIM_2, set y to SRC_DIM_2</span></div><div class="line"><a name="l01769"></a><span class="lineno"> 1769</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, (int8)0, (int8)SRC_DIM_2 - 1); <span class="comment">// Clamp z coordinate</span></div><div class="line"><a name="l01770"></a><span class="lineno"> 1770</span>&#160;</div><div class="line"><a name="l01771"></a><span class="lineno"> 1771</span>&#160; <span class="comment">// Load the input tile</span></div><div class="line"><a name="l01772"></a><span class="lineno"> 1772</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01773"></a><span class="lineno"> 1773</span>&#160; in_row0;</div><div class="line"><a name="l01774"></a><span class="lineno"> 1774</span>&#160; in_row0.s0 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord.s0 * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01775"></a><span class="lineno"> 1775</span>&#160; in_row0.s1 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord.s1 * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01776"></a><span class="lineno"> 1776</span>&#160; in_row0.s2 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord.s2 * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01777"></a><span class="lineno"> 1777</span>&#160; in_row0.s3 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord.s3 * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01778"></a><span class="lineno"> 1778</span>&#160; in_row0.s4 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s4 * (<span class="keywordtype">int</span>)src_stride_y + z_coord.s4 * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01779"></a><span class="lineno"> 1779</span>&#160; in_row0.s5 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s5 * (<span class="keywordtype">int</span>)src_stride_y + z_coord.s5 * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01780"></a><span class="lineno"> 1780</span>&#160; in_row0.s6 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s6 * (<span class="keywordtype">int</span>)src_stride_y + z_coord.s6 * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01781"></a><span class="lineno"> 1781</span>&#160; in_row0.s7 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s7 * (<span class="keywordtype">int</span>)src_stride_y + z_coord.s7 * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01782"></a><span class="lineno"> 1782</span>&#160;</div><div class="line"><a name="l01783"></a><span class="lineno"> 1783</span>&#160; <span class="comment">// Calculate common factors for intermediate tensor</span></div><div class="line"><a name="l01784"></a><span class="lineno"> 1784</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01785"></a><span class="lineno"> 1785</span>&#160; tmp0 = ((<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)) - 36.0f) * in_row0;</div><div class="line"><a name="l01786"></a><span class="lineno"> 1786</span>&#160;</div><div class="line"><a name="l01787"></a><span class="lineno"> 1787</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01788"></a><span class="lineno"> 1788</span>&#160; out0 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8))0.0f;</div><div class="line"><a name="l01789"></a><span class="lineno"> 1789</span>&#160;</div><div class="line"><a name="l01790"></a><span class="lineno"> 1790</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01791"></a><span class="lineno"> 1791</span>&#160; comm_fact0 = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8))0.0f;</div><div class="line"><a name="l01792"></a><span class="lineno"> 1792</span>&#160;</div><div class="line"><a name="l01793"></a><span class="lineno"> 1793</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a4b01af9651d23ef289e82a4db19aac7f">OUTPUT_ROW_2x2_7x7</a>(out0, tmp0, comm_fact0);</div><div class="line"><a name="l01794"></a><span class="lineno"> 1794</span>&#160;<span class="preprocessor">#else // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL)</span></div><div class="line"><a name="l01795"></a><span class="lineno"> 1795</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01796"></a><span class="lineno"> 1796</span>&#160; in_row0, in_row1, in_row2, in_row3, in_row4, in_row5, in_row6, in_row7;</div><div class="line"><a name="l01797"></a><span class="lineno"> 1797</span>&#160;</div><div class="line"><a name="l01798"></a><span class="lineno"> 1798</span>&#160; <span class="comment">// Clamp coordinates. This clamp is valid for all rows</span></div><div class="line"><a name="l01799"></a><span class="lineno"> 1799</span>&#160; int8 y_coord = (int8)(y * OUTPUT_TILE_W) + (int8)(0, 1, 2, 3, 4, 5, 6, 7) - (int8)PAD_LEFT;</div><div class="line"><a name="l01800"></a><span class="lineno"> 1800</span>&#160; y_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(y_coord, (int8) - 1, (int8)SRC_DIM_1);</div><div class="line"><a name="l01801"></a><span class="lineno"> 1801</span>&#160;</div><div class="line"><a name="l01802"></a><span class="lineno"> 1802</span>&#160; <span class="comment">// Row0</span></div><div class="line"><a name="l01803"></a><span class="lineno"> 1803</span>&#160; <span class="keywordtype">int</span> z_coord = (z * (<span class="keywordtype">int</span>)OUTPUT_TILE_H) - (<span class="keywordtype">int</span>)PAD_TOP + 0;</div><div class="line"><a name="l01804"></a><span class="lineno"> 1804</span>&#160; int8 valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord, (int8) - 1, (int8)z_coord &lt; 0); <span class="comment">// If z &lt; 0, set y to -1</span></div><div class="line"><a name="l01805"></a><span class="lineno"> 1805</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y, (int8)SRC_DIM_1, (int8)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2); <span class="comment">// If z &gt;= SRC_DIM_2, set y to SRC_DIM_2</span></div><div class="line"><a name="l01806"></a><span class="lineno"> 1806</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1); <span class="comment">// Clamp z coordinate</span></div><div class="line"><a name="l01807"></a><span class="lineno"> 1807</span>&#160;</div><div class="line"><a name="l01808"></a><span class="lineno"> 1808</span>&#160; <span class="comment">// Load the input tile</span></div><div class="line"><a name="l01809"></a><span class="lineno"> 1809</span>&#160; in_row0.s0 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01810"></a><span class="lineno"> 1810</span>&#160; in_row0.s1 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01811"></a><span class="lineno"> 1811</span>&#160; in_row0.s2 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01812"></a><span class="lineno"> 1812</span>&#160; in_row0.s3 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01813"></a><span class="lineno"> 1813</span>&#160; in_row0.s4 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s4 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01814"></a><span class="lineno"> 1814</span>&#160; in_row0.s5 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s5 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01815"></a><span class="lineno"> 1815</span>&#160; in_row0.s6 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s6 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01816"></a><span class="lineno"> 1816</span>&#160; in_row0.s7 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s7 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01817"></a><span class="lineno"> 1817</span>&#160;</div><div class="line"><a name="l01818"></a><span class="lineno"> 1818</span>&#160; <span class="comment">// Row1</span></div><div class="line"><a name="l01819"></a><span class="lineno"> 1819</span>&#160; z_coord = (z * (<span class="keywordtype">int</span>)OUTPUT_TILE_H) - (<span class="keywordtype">int</span>)PAD_TOP + 1;</div><div class="line"><a name="l01820"></a><span class="lineno"> 1820</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord, (int8) - 1, (int8)z_coord &lt; 0);</div><div class="line"><a name="l01821"></a><span class="lineno"> 1821</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y, (int8)SRC_DIM_1, (int8)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01822"></a><span class="lineno"> 1822</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l01823"></a><span class="lineno"> 1823</span>&#160;</div><div class="line"><a name="l01824"></a><span class="lineno"> 1824</span>&#160; in_row1.s0 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01825"></a><span class="lineno"> 1825</span>&#160; in_row1.s1 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01826"></a><span class="lineno"> 1826</span>&#160; in_row1.s2 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01827"></a><span class="lineno"> 1827</span>&#160; in_row1.s3 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01828"></a><span class="lineno"> 1828</span>&#160; in_row1.s4 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s4 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01829"></a><span class="lineno"> 1829</span>&#160; in_row1.s5 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s5 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01830"></a><span class="lineno"> 1830</span>&#160; in_row1.s6 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s6 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01831"></a><span class="lineno"> 1831</span>&#160; in_row1.s7 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s7 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01832"></a><span class="lineno"> 1832</span>&#160;</div><div class="line"><a name="l01833"></a><span class="lineno"> 1833</span>&#160; <span class="comment">// Row2</span></div><div class="line"><a name="l01834"></a><span class="lineno"> 1834</span>&#160; z_coord = (z * (<span class="keywordtype">int</span>)OUTPUT_TILE_H) - (<span class="keywordtype">int</span>)PAD_TOP + 2;</div><div class="line"><a name="l01835"></a><span class="lineno"> 1835</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord, (int8) - 1, (int8)z_coord &lt; 0);</div><div class="line"><a name="l01836"></a><span class="lineno"> 1836</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y, (int8)SRC_DIM_1, (int8)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01837"></a><span class="lineno"> 1837</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l01838"></a><span class="lineno"> 1838</span>&#160;</div><div class="line"><a name="l01839"></a><span class="lineno"> 1839</span>&#160; in_row2.s0 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01840"></a><span class="lineno"> 1840</span>&#160; in_row2.s1 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01841"></a><span class="lineno"> 1841</span>&#160; in_row2.s2 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01842"></a><span class="lineno"> 1842</span>&#160; in_row2.s3 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01843"></a><span class="lineno"> 1843</span>&#160; in_row2.s4 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s4 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01844"></a><span class="lineno"> 1844</span>&#160; in_row2.s5 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s5 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01845"></a><span class="lineno"> 1845</span>&#160; in_row2.s6 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s6 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01846"></a><span class="lineno"> 1846</span>&#160; in_row2.s7 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s7 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01847"></a><span class="lineno"> 1847</span>&#160;</div><div class="line"><a name="l01848"></a><span class="lineno"> 1848</span>&#160; <span class="comment">// Row3</span></div><div class="line"><a name="l01849"></a><span class="lineno"> 1849</span>&#160; z_coord = (z * (<span class="keywordtype">int</span>)OUTPUT_TILE_H) - (<span class="keywordtype">int</span>)PAD_TOP + 3;</div><div class="line"><a name="l01850"></a><span class="lineno"> 1850</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord, (int8) - 1, (int8)z_coord &lt; 0);</div><div class="line"><a name="l01851"></a><span class="lineno"> 1851</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y, (int8)SRC_DIM_1, (int8)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01852"></a><span class="lineno"> 1852</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l01853"></a><span class="lineno"> 1853</span>&#160;</div><div class="line"><a name="l01854"></a><span class="lineno"> 1854</span>&#160; in_row3.s0 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01855"></a><span class="lineno"> 1855</span>&#160; in_row3.s1 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01856"></a><span class="lineno"> 1856</span>&#160; in_row3.s2 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01857"></a><span class="lineno"> 1857</span>&#160; in_row3.s3 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01858"></a><span class="lineno"> 1858</span>&#160; in_row3.s4 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s4 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01859"></a><span class="lineno"> 1859</span>&#160; in_row3.s5 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s5 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01860"></a><span class="lineno"> 1860</span>&#160; in_row3.s6 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s6 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01861"></a><span class="lineno"> 1861</span>&#160; in_row3.s7 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s7 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01862"></a><span class="lineno"> 1862</span>&#160;</div><div class="line"><a name="l01863"></a><span class="lineno"> 1863</span>&#160; <span class="comment">// Row4</span></div><div class="line"><a name="l01864"></a><span class="lineno"> 1864</span>&#160; z_coord = (z * (<span class="keywordtype">int</span>)OUTPUT_TILE_H) - (<span class="keywordtype">int</span>)PAD_TOP + 4;</div><div class="line"><a name="l01865"></a><span class="lineno"> 1865</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord, (int8) - 1, (int8)z_coord &lt; 0);</div><div class="line"><a name="l01866"></a><span class="lineno"> 1866</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y, (int8)SRC_DIM_1, (int8)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01867"></a><span class="lineno"> 1867</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l01868"></a><span class="lineno"> 1868</span>&#160;</div><div class="line"><a name="l01869"></a><span class="lineno"> 1869</span>&#160; in_row4.s0 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01870"></a><span class="lineno"> 1870</span>&#160; in_row4.s1 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01871"></a><span class="lineno"> 1871</span>&#160; in_row4.s2 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01872"></a><span class="lineno"> 1872</span>&#160; in_row4.s3 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01873"></a><span class="lineno"> 1873</span>&#160; in_row4.s4 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s4 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01874"></a><span class="lineno"> 1874</span>&#160; in_row4.s5 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s5 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01875"></a><span class="lineno"> 1875</span>&#160; in_row4.s6 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s6 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01876"></a><span class="lineno"> 1876</span>&#160; in_row4.s7 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s7 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01877"></a><span class="lineno"> 1877</span>&#160;</div><div class="line"><a name="l01878"></a><span class="lineno"> 1878</span>&#160; <span class="comment">// Row5</span></div><div class="line"><a name="l01879"></a><span class="lineno"> 1879</span>&#160; z_coord = (z * (<span class="keywordtype">int</span>)OUTPUT_TILE_H) - (<span class="keywordtype">int</span>)PAD_TOP + 5;</div><div class="line"><a name="l01880"></a><span class="lineno"> 1880</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord, (int8) - 1, (int8)z_coord &lt; 0);</div><div class="line"><a name="l01881"></a><span class="lineno"> 1881</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y, (int8)SRC_DIM_1, (int8)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01882"></a><span class="lineno"> 1882</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l01883"></a><span class="lineno"> 1883</span>&#160;</div><div class="line"><a name="l01884"></a><span class="lineno"> 1884</span>&#160; in_row5.s0 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01885"></a><span class="lineno"> 1885</span>&#160; in_row5.s1 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01886"></a><span class="lineno"> 1886</span>&#160; in_row5.s2 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01887"></a><span class="lineno"> 1887</span>&#160; in_row5.s3 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01888"></a><span class="lineno"> 1888</span>&#160; in_row5.s4 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s4 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01889"></a><span class="lineno"> 1889</span>&#160; in_row5.s5 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s5 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01890"></a><span class="lineno"> 1890</span>&#160; in_row5.s6 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s6 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01891"></a><span class="lineno"> 1891</span>&#160; in_row5.s7 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s7 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01892"></a><span class="lineno"> 1892</span>&#160;</div><div class="line"><a name="l01893"></a><span class="lineno"> 1893</span>&#160; <span class="comment">// Row6</span></div><div class="line"><a name="l01894"></a><span class="lineno"> 1894</span>&#160; z_coord = (z * (<span class="keywordtype">int</span>)OUTPUT_TILE_H) - (<span class="keywordtype">int</span>)PAD_TOP + 6;</div><div class="line"><a name="l01895"></a><span class="lineno"> 1895</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord, (int8) - 1, (int8)z_coord &lt; 0);</div><div class="line"><a name="l01896"></a><span class="lineno"> 1896</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y, (int8)SRC_DIM_1, (int8)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01897"></a><span class="lineno"> 1897</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l01898"></a><span class="lineno"> 1898</span>&#160;</div><div class="line"><a name="l01899"></a><span class="lineno"> 1899</span>&#160; in_row6.s0 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01900"></a><span class="lineno"> 1900</span>&#160; in_row6.s1 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01901"></a><span class="lineno"> 1901</span>&#160; in_row6.s2 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01902"></a><span class="lineno"> 1902</span>&#160; in_row6.s3 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01903"></a><span class="lineno"> 1903</span>&#160; in_row6.s4 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s4 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01904"></a><span class="lineno"> 1904</span>&#160; in_row6.s5 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s5 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01905"></a><span class="lineno"> 1905</span>&#160; in_row6.s6 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s6 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01906"></a><span class="lineno"> 1906</span>&#160; in_row6.s7 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s7 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01907"></a><span class="lineno"> 1907</span>&#160;</div><div class="line"><a name="l01908"></a><span class="lineno"> 1908</span>&#160; <span class="comment">// Row7</span></div><div class="line"><a name="l01909"></a><span class="lineno"> 1909</span>&#160; z_coord = (z * (<span class="keywordtype">int</span>)OUTPUT_TILE_H) - (<span class="keywordtype">int</span>)PAD_TOP + 7;</div><div class="line"><a name="l01910"></a><span class="lineno"> 1910</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(y_coord, (int8) - 1, (int8)z_coord &lt; 0);</div><div class="line"><a name="l01911"></a><span class="lineno"> 1911</span>&#160; valid_y = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(valid_y, (int8)SRC_DIM_1, (int8)z_coord &gt;= (<span class="keywordtype">int</span>)SRC_DIM_2);</div><div class="line"><a name="l01912"></a><span class="lineno"> 1912</span>&#160; z_coord = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(z_coord, 0, (<span class="keywordtype">int</span>)SRC_DIM_2 - 1);</div><div class="line"><a name="l01913"></a><span class="lineno"> 1913</span>&#160;</div><div class="line"><a name="l01914"></a><span class="lineno"> 1914</span>&#160; in_row7.s0 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s0 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01915"></a><span class="lineno"> 1915</span>&#160; in_row7.s1 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s1 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01916"></a><span class="lineno"> 1916</span>&#160; in_row7.s2 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s2 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01917"></a><span class="lineno"> 1917</span>&#160; in_row7.s3 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s3 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01918"></a><span class="lineno"> 1918</span>&#160; in_row7.s4 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s4 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01919"></a><span class="lineno"> 1919</span>&#160; in_row7.s5 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s5 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01920"></a><span class="lineno"> 1920</span>&#160; in_row7.s6 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s6 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01921"></a><span class="lineno"> 1921</span>&#160; in_row7.s7 = *(__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + valid_y.s7 * (<span class="keywordtype">int</span>)src_stride_y + z_coord * (<span class="keywordtype">int</span>)src_stride_z);</div><div class="line"><a name="l01922"></a><span class="lineno"> 1922</span>&#160;</div><div class="line"><a name="l01923"></a><span class="lineno"> 1923</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01924"></a><span class="lineno"> 1924</span>&#160; comm_fact0 = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)36.0f * in_row2 - (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)13.0f * in_row4 + in_row6;</div><div class="line"><a name="l01925"></a><span class="lineno"> 1925</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01926"></a><span class="lineno"> 1926</span>&#160; comm_fact1 = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)36.0f * in_row1 - (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)13.0f * in_row3 + in_row5;</div><div class="line"><a name="l01927"></a><span class="lineno"> 1927</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01928"></a><span class="lineno"> 1928</span>&#160; comm_fact2 = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)9.0f * in_row2 - (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)10.0f * in_row4 + in_row6;</div><div class="line"><a name="l01929"></a><span class="lineno"> 1929</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01930"></a><span class="lineno"> 1930</span>&#160; comm_fact3 = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)18.0f * in_row1 - (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)20.0f * in_row3 + (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)2.0f * in_row5;</div><div class="line"><a name="l01931"></a><span class="lineno"> 1931</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01932"></a><span class="lineno"> 1932</span>&#160; comm_fact4 = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)4.0f * in_row2 - (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)5.0f * in_row4 + in_row6;</div><div class="line"><a name="l01933"></a><span class="lineno"> 1933</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01934"></a><span class="lineno"> 1934</span>&#160; comm_fact5 = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)12.0f * in_row1 - (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)15.0f * in_row3 + (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)3.0f * in_row5;</div><div class="line"><a name="l01935"></a><span class="lineno"> 1935</span>&#160;</div><div class="line"><a name="l01936"></a><span class="lineno"> 1936</span>&#160; <span class="comment">// Calculate intermediate tensors</span></div><div class="line"><a name="l01937"></a><span class="lineno"> 1937</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp0 = -(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)36.0f * in_row0 + (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)49.0f * in_row2 - (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)14.0f * in_row4 + in_row6;</div><div class="line"><a name="l01938"></a><span class="lineno"> 1938</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp1 = comm_fact0 - comm_fact1;</div><div class="line"><a name="l01939"></a><span class="lineno"> 1939</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp2 = comm_fact0 + comm_fact1;</div><div class="line"><a name="l01940"></a><span class="lineno"> 1940</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp3 = comm_fact2 - comm_fact3;</div><div class="line"><a name="l01941"></a><span class="lineno"> 1941</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp4 = comm_fact2 + comm_fact3;</div><div class="line"><a name="l01942"></a><span class="lineno"> 1942</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp5 = comm_fact4 - comm_fact5;</div><div class="line"><a name="l01943"></a><span class="lineno"> 1943</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp6 = comm_fact4 + comm_fact5;</div><div class="line"><a name="l01944"></a><span class="lineno"> 1944</span>&#160; const <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8) tmp7 = -(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)36.0f * in_row1 + (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)49.0f * in_row3 - (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)14.0f * in_row5 + in_row7;</div><div class="line"><a name="l01945"></a><span class="lineno"> 1945</span>&#160;</div><div class="line"><a name="l01946"></a><span class="lineno"> 1946</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div><div class="line"><a name="l01947"></a><span class="lineno"> 1947</span>&#160; out0, out1, out2, out3, out4, out5, out6, out7;</div><div class="line"><a name="l01948"></a><span class="lineno"> 1948</span>&#160;</div><div class="line"><a name="l01949"></a><span class="lineno"> 1949</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a4b01af9651d23ef289e82a4db19aac7f">OUTPUT_ROW_2x2_7x7</a>(out0, tmp0, comm_fact0);</div><div class="line"><a name="l01950"></a><span class="lineno"> 1950</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a4b01af9651d23ef289e82a4db19aac7f">OUTPUT_ROW_2x2_7x7</a>(out1, tmp1, comm_fact0);</div><div class="line"><a name="l01951"></a><span class="lineno"> 1951</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a4b01af9651d23ef289e82a4db19aac7f">OUTPUT_ROW_2x2_7x7</a>(out2, tmp2, comm_fact0);</div><div class="line"><a name="l01952"></a><span class="lineno"> 1952</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a4b01af9651d23ef289e82a4db19aac7f">OUTPUT_ROW_2x2_7x7</a>(out3, tmp3, comm_fact0);</div><div class="line"><a name="l01953"></a><span class="lineno"> 1953</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a4b01af9651d23ef289e82a4db19aac7f">OUTPUT_ROW_2x2_7x7</a>(out4, tmp4, comm_fact0);</div><div class="line"><a name="l01954"></a><span class="lineno"> 1954</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a4b01af9651d23ef289e82a4db19aac7f">OUTPUT_ROW_2x2_7x7</a>(out5, tmp5, comm_fact0);</div><div class="line"><a name="l01955"></a><span class="lineno"> 1955</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a4b01af9651d23ef289e82a4db19aac7f">OUTPUT_ROW_2x2_7x7</a>(out6, tmp6, comm_fact0);</div><div class="line"><a name="l01956"></a><span class="lineno"> 1956</span>&#160; <a class="code" href="winograd__input__transform_8cl.xhtml#a4b01af9651d23ef289e82a4db19aac7f">OUTPUT_ROW_2x2_7x7</a>(out7, tmp7, comm_fact0);</div><div class="line"><a name="l01957"></a><span class="lineno"> 1957</span>&#160;</div><div class="line"><a name="l01958"></a><span class="lineno"> 1958</span>&#160;<span class="preprocessor">#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l01959"></a><span class="lineno"> 1959</span>&#160;</div><div class="line"><a name="l01960"></a><span class="lineno"> 1960</span>&#160; <span class="comment">// Store values across the channels</span></div><div class="line"><a name="l01961"></a><span class="lineno"> 1961</span>&#160;<span class="preprocessor">#if defined(NUM_TILES_Y)</span></div><div class="line"><a name="l01962"></a><span class="lineno"> 1962</span>&#160; __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + (y + z * (<span class="keywordtype">int</span>)NUM_TILES_X) * dst_stride_y + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * dst_stride_w;</div><div class="line"><a name="l01963"></a><span class="lineno"> 1963</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* NUM_TILES_Y */</span><span class="preprocessor"></span></div><div class="line"><a name="l01964"></a><span class="lineno"> 1964</span>&#160; __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * <span class="keyword">sizeof</span>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>) + (y + z * (<span class="keywordtype">int</span>)NUM_TILES_X) * dst_stride_y;</div><div class="line"><a name="l01965"></a><span class="lineno"> 1965</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* NUM_TILES_Y */</span><span class="preprocessor"></span></div><div class="line"><a name="l01966"></a><span class="lineno"> 1966</span>&#160;</div><div class="line"><a name="l01967"></a><span class="lineno"> 1967</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 0 * dst_stride_z)) = out0.s0;</div><div class="line"><a name="l01968"></a><span class="lineno"> 1968</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 1 * dst_stride_z)) = out0.s1;</div><div class="line"><a name="l01969"></a><span class="lineno"> 1969</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 2 * dst_stride_z)) = out0.s2;</div><div class="line"><a name="l01970"></a><span class="lineno"> 1970</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 3 * dst_stride_z)) = out0.s3;</div><div class="line"><a name="l01971"></a><span class="lineno"> 1971</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 4 * dst_stride_z)) = out0.s4;</div><div class="line"><a name="l01972"></a><span class="lineno"> 1972</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 5 * dst_stride_z)) = out0.s5;</div><div class="line"><a name="l01973"></a><span class="lineno"> 1973</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 6 * dst_stride_z)) = out0.s6;</div><div class="line"><a name="l01974"></a><span class="lineno"> 1974</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 7 * dst_stride_z)) = out0.s7;</div><div class="line"><a name="l01975"></a><span class="lineno"> 1975</span>&#160;</div><div class="line"><a name="l01976"></a><span class="lineno"> 1976</span>&#160;<span class="preprocessor">#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l01977"></a><span class="lineno"> 1977</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 8 * dst_stride_z)) = out1.s0;</div><div class="line"><a name="l01978"></a><span class="lineno"> 1978</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 9 * dst_stride_z)) = out1.s1;</div><div class="line"><a name="l01979"></a><span class="lineno"> 1979</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 10 * dst_stride_z)) = out1.s2;</div><div class="line"><a name="l01980"></a><span class="lineno"> 1980</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 11 * dst_stride_z)) = out1.s3;</div><div class="line"><a name="l01981"></a><span class="lineno"> 1981</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 12 * dst_stride_z)) = out1.s4;</div><div class="line"><a name="l01982"></a><span class="lineno"> 1982</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 13 * dst_stride_z)) = out1.s5;</div><div class="line"><a name="l01983"></a><span class="lineno"> 1983</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 14 * dst_stride_z)) = out1.s6;</div><div class="line"><a name="l01984"></a><span class="lineno"> 1984</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 15 * dst_stride_z)) = out1.s7;</div><div class="line"><a name="l01985"></a><span class="lineno"> 1985</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 16 * dst_stride_z)) = out2.s0;</div><div class="line"><a name="l01986"></a><span class="lineno"> 1986</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 17 * dst_stride_z)) = out2.s1;</div><div class="line"><a name="l01987"></a><span class="lineno"> 1987</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 18 * dst_stride_z)) = out2.s2;</div><div class="line"><a name="l01988"></a><span class="lineno"> 1988</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 19 * dst_stride_z)) = out2.s3;</div><div class="line"><a name="l01989"></a><span class="lineno"> 1989</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 20 * dst_stride_z)) = out2.s4;</div><div class="line"><a name="l01990"></a><span class="lineno"> 1990</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 21 * dst_stride_z)) = out2.s5;</div><div class="line"><a name="l01991"></a><span class="lineno"> 1991</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 22 * dst_stride_z)) = out2.s6;</div><div class="line"><a name="l01992"></a><span class="lineno"> 1992</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 23 * dst_stride_z)) = out2.s7;</div><div class="line"><a name="l01993"></a><span class="lineno"> 1993</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 24 * dst_stride_z)) = out3.s0;</div><div class="line"><a name="l01994"></a><span class="lineno"> 1994</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 25 * dst_stride_z)) = out3.s1;</div><div class="line"><a name="l01995"></a><span class="lineno"> 1995</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 26 * dst_stride_z)) = out3.s2;</div><div class="line"><a name="l01996"></a><span class="lineno"> 1996</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 27 * dst_stride_z)) = out3.s3;</div><div class="line"><a name="l01997"></a><span class="lineno"> 1997</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 28 * dst_stride_z)) = out3.s4;</div><div class="line"><a name="l01998"></a><span class="lineno"> 1998</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 29 * dst_stride_z)) = out3.s5;</div><div class="line"><a name="l01999"></a><span class="lineno"> 1999</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 30 * dst_stride_z)) = out3.s6;</div><div class="line"><a name="l02000"></a><span class="lineno"> 2000</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 31 * dst_stride_z)) = out3.s7;</div><div class="line"><a name="l02001"></a><span class="lineno"> 2001</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 32 * dst_stride_z)) = out4.s0;</div><div class="line"><a name="l02002"></a><span class="lineno"> 2002</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 33 * dst_stride_z)) = out4.s1;</div><div class="line"><a name="l02003"></a><span class="lineno"> 2003</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 34 * dst_stride_z)) = out4.s2;</div><div class="line"><a name="l02004"></a><span class="lineno"> 2004</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 35 * dst_stride_z)) = out4.s3;</div><div class="line"><a name="l02005"></a><span class="lineno"> 2005</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 36 * dst_stride_z)) = out4.s4;</div><div class="line"><a name="l02006"></a><span class="lineno"> 2006</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 37 * dst_stride_z)) = out4.s5;</div><div class="line"><a name="l02007"></a><span class="lineno"> 2007</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 38 * dst_stride_z)) = out4.s6;</div><div class="line"><a name="l02008"></a><span class="lineno"> 2008</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 39 * dst_stride_z)) = out4.s7;</div><div class="line"><a name="l02009"></a><span class="lineno"> 2009</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 40 * dst_stride_z)) = out5.s0;</div><div class="line"><a name="l02010"></a><span class="lineno"> 2010</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 41 * dst_stride_z)) = out5.s1;</div><div class="line"><a name="l02011"></a><span class="lineno"> 2011</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 42 * dst_stride_z)) = out5.s2;</div><div class="line"><a name="l02012"></a><span class="lineno"> 2012</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 43 * dst_stride_z)) = out5.s3;</div><div class="line"><a name="l02013"></a><span class="lineno"> 2013</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 44 * dst_stride_z)) = out5.s4;</div><div class="line"><a name="l02014"></a><span class="lineno"> 2014</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 45 * dst_stride_z)) = out5.s5;</div><div class="line"><a name="l02015"></a><span class="lineno"> 2015</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 46 * dst_stride_z)) = out5.s6;</div><div class="line"><a name="l02016"></a><span class="lineno"> 2016</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 47 * dst_stride_z)) = out5.s7;</div><div class="line"><a name="l02017"></a><span class="lineno"> 2017</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 48 * dst_stride_z)) = out6.s0;</div><div class="line"><a name="l02018"></a><span class="lineno"> 2018</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 49 * dst_stride_z)) = out6.s1;</div><div class="line"><a name="l02019"></a><span class="lineno"> 2019</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 50 * dst_stride_z)) = out6.s2;</div><div class="line"><a name="l02020"></a><span class="lineno"> 2020</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 51 * dst_stride_z)) = out6.s3;</div><div class="line"><a name="l02021"></a><span class="lineno"> 2021</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 52 * dst_stride_z)) = out6.s4;</div><div class="line"><a name="l02022"></a><span class="lineno"> 2022</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 53 * dst_stride_z)) = out6.s5;</div><div class="line"><a name="l02023"></a><span class="lineno"> 2023</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 54 * dst_stride_z)) = out6.s6;</div><div class="line"><a name="l02024"></a><span class="lineno"> 2024</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 55 * dst_stride_z)) = out6.s7;</div><div class="line"><a name="l02025"></a><span class="lineno"> 2025</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 56 * dst_stride_z)) = out7.s0;</div><div class="line"><a name="l02026"></a><span class="lineno"> 2026</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 57 * dst_stride_z)) = out7.s1;</div><div class="line"><a name="l02027"></a><span class="lineno"> 2027</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 58 * dst_stride_z)) = out7.s2;</div><div class="line"><a name="l02028"></a><span class="lineno"> 2028</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 59 * dst_stride_z)) = out7.s3;</div><div class="line"><a name="l02029"></a><span class="lineno"> 2029</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 60 * dst_stride_z)) = out7.s4;</div><div class="line"><a name="l02030"></a><span class="lineno"> 2030</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 61 * dst_stride_z)) = out7.s5;</div><div class="line"><a name="l02031"></a><span class="lineno"> 2031</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 62 * dst_stride_z)) = out7.s6;</div><div class="line"><a name="l02032"></a><span class="lineno"> 2032</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_addr + 63 * dst_stride_z)) = out7.s7;</div><div class="line"><a name="l02033"></a><span class="lineno"> 2033</span>&#160;<span class="preprocessor">#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) &amp;&amp; !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l02034"></a><span class="lineno"> 2034</span>&#160;}</div><div class="line"><a name="l02035"></a><span class="lineno"> 2035</span>&#160;<span class="preprocessor">#endif // defined(SRC_DIM_1) &amp;&amp; defined(SRC_DIM_2)</span></div><div class="line"><a name="l02036"></a><span class="lineno"> 2036</span>&#160;</div><div class="line"><a name="l02037"></a><span class="lineno"> 2037</span>&#160;<span class="preprocessor">#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL)</span></div><div class="line"><a name="l02038"></a><span class="lineno"> 2038</span>&#160;<span class="comment">/** This OpenCL kernel computes the input transform when the kernel size is 3x1 and the output tile is 2x1</span></div><div class="line"><a name="l02039"></a><span class="lineno"> 2039</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02040"></a><span class="lineno"> 2040</span>&#160;<span class="comment"> * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5).</span></div><div class="line"><a name="l02041"></a><span class="lineno"> 2041</span>&#160;<span class="comment"> * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).</span></div><div class="line"><a name="l02042"></a><span class="lineno"> 2042</span>&#160;<span class="comment"> * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2</span></div><div class="line"><a name="l02043"></a><span class="lineno"> 2043</span>&#160;<span class="comment"> * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1</span></div><div class="line"><a name="l02044"></a><span class="lineno"> 2044</span>&#160;<span class="comment"> * @note -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time</span></div><div class="line"><a name="l02045"></a><span class="lineno"> 2045</span>&#160;<span class="comment"> * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half.</span></div><div class="line"><a name="l02046"></a><span class="lineno"> 2046</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02047"></a><span class="lineno"> 2047</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16</span></div><div class="line"><a name="l02048"></a><span class="lineno"> 2048</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l02049"></a><span class="lineno"> 2049</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02050"></a><span class="lineno"> 2050</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l02051"></a><span class="lineno"> 2051</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02052"></a><span class="lineno"> 2052</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l02053"></a><span class="lineno"> 2053</span>&#160;<span class="comment"> * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02054"></a><span class="lineno"> 2054</span>&#160;<span class="comment"> * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02055"></a><span class="lineno"> 2055</span>&#160;<span class="comment"> * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr</span></div><div class="line"><a name="l02056"></a><span class="lineno"> 2056</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l02057"></a><span class="lineno"> 2057</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02058"></a><span class="lineno"> 2058</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l02059"></a><span class="lineno"> 2059</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02060"></a><span class="lineno"> 2060</span>&#160;<span class="comment"> * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02061"></a><span class="lineno"> 2061</span>&#160;<span class="comment"> * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02062"></a><span class="lineno"> 2062</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l02063"></a><span class="lineno"> 2063</span>&#160;<span class="comment"> * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02064"></a><span class="lineno"> 2064</span>&#160;<span class="comment"> * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02065"></a><span class="lineno"> 2065</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l02066"></a><span class="lineno"> 2066</span>&#160;__kernel <span class="keywordtype">void</span> winograd_input_transform_2x1_3x1_stepz1_nchw(</div><div class="line"><a name="l02067"></a><span class="lineno"> 2067</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l02068"></a><span class="lineno"> 2068</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l02069"></a><span class="lineno"> 2069</span>&#160; uint src_stride_w,</div><div class="line"><a name="l02070"></a><span class="lineno"> 2070</span>&#160; uint dst_stride_w)</div><div class="line"><a name="l02071"></a><span class="lineno"> 2071</span>&#160;{</div><div class="line"><a name="l02072"></a><span class="lineno"> 2072</span>&#160; winograd_input_transform_2x2_3x3_stepz1_nchw(src_ptr,</div><div class="line"><a name="l02073"></a><span class="lineno"> 2073</span>&#160; src_stride_x,</div><div class="line"><a name="l02074"></a><span class="lineno"> 2074</span>&#160; src_step_x,</div><div class="line"><a name="l02075"></a><span class="lineno"> 2075</span>&#160; src_stride_y,</div><div class="line"><a name="l02076"></a><span class="lineno"> 2076</span>&#160; src_step_y,</div><div class="line"><a name="l02077"></a><span class="lineno"> 2077</span>&#160; src_stride_z,</div><div class="line"><a name="l02078"></a><span class="lineno"> 2078</span>&#160; src_step_z,</div><div class="line"><a name="l02079"></a><span class="lineno"> 2079</span>&#160; src_offset_first_element_in_bytes,</div><div class="line"><a name="l02080"></a><span class="lineno"> 2080</span>&#160; dst_ptr,</div><div class="line"><a name="l02081"></a><span class="lineno"> 2081</span>&#160; dst_stride_x,</div><div class="line"><a name="l02082"></a><span class="lineno"> 2082</span>&#160; dst_step_x,</div><div class="line"><a name="l02083"></a><span class="lineno"> 2083</span>&#160; dst_stride_y,</div><div class="line"><a name="l02084"></a><span class="lineno"> 2084</span>&#160; dst_step_y,</div><div class="line"><a name="l02085"></a><span class="lineno"> 2085</span>&#160; dst_stride_z,</div><div class="line"><a name="l02086"></a><span class="lineno"> 2086</span>&#160; dst_step_z,</div><div class="line"><a name="l02087"></a><span class="lineno"> 2087</span>&#160; dst_offset_first_element_in_bytes,</div><div class="line"><a name="l02088"></a><span class="lineno"> 2088</span>&#160; src_stride_w,</div><div class="line"><a name="l02089"></a><span class="lineno"> 2089</span>&#160; dst_stride_w);</div><div class="line"><a name="l02090"></a><span class="lineno"> 2090</span>&#160;}</div><div class="line"><a name="l02091"></a><span class="lineno"> 2091</span>&#160;<span class="comment"></span></div><div class="line"><a name="l02092"></a><span class="lineno"> 2092</span>&#160;<span class="comment">/** This OpenCL kernel computes the input transform when the kernel size is 3x1, the output tile is 2x1 and the number of channels is multiple of 2</span></div><div class="line"><a name="l02093"></a><span class="lineno"> 2093</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02094"></a><span class="lineno"> 2094</span>&#160;<span class="comment"> * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5).</span></div><div class="line"><a name="l02095"></a><span class="lineno"> 2095</span>&#160;<span class="comment"> * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).</span></div><div class="line"><a name="l02096"></a><span class="lineno"> 2096</span>&#160;<span class="comment"> * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2</span></div><div class="line"><a name="l02097"></a><span class="lineno"> 2097</span>&#160;<span class="comment"> * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1</span></div><div class="line"><a name="l02098"></a><span class="lineno"> 2098</span>&#160;<span class="comment"> * @note -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time</span></div><div class="line"><a name="l02099"></a><span class="lineno"> 2099</span>&#160;<span class="comment"> * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half.</span></div><div class="line"><a name="l02100"></a><span class="lineno"> 2100</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02101"></a><span class="lineno"> 2101</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16</span></div><div class="line"><a name="l02102"></a><span class="lineno"> 2102</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l02103"></a><span class="lineno"> 2103</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02104"></a><span class="lineno"> 2104</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l02105"></a><span class="lineno"> 2105</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02106"></a><span class="lineno"> 2106</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l02107"></a><span class="lineno"> 2107</span>&#160;<span class="comment"> * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02108"></a><span class="lineno"> 2108</span>&#160;<span class="comment"> * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02109"></a><span class="lineno"> 2109</span>&#160;<span class="comment"> * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr</span></div><div class="line"><a name="l02110"></a><span class="lineno"> 2110</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l02111"></a><span class="lineno"> 2111</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02112"></a><span class="lineno"> 2112</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l02113"></a><span class="lineno"> 2113</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02114"></a><span class="lineno"> 2114</span>&#160;<span class="comment"> * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02115"></a><span class="lineno"> 2115</span>&#160;<span class="comment"> * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02116"></a><span class="lineno"> 2116</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l02117"></a><span class="lineno"> 2117</span>&#160;<span class="comment"> * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02118"></a><span class="lineno"> 2118</span>&#160;<span class="comment"> * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02119"></a><span class="lineno"> 2119</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l02120"></a><span class="lineno"> 2120</span>&#160;__kernel <span class="keywordtype">void</span> winograd_input_transform_2x1_3x1_stepz2_nchw(</div><div class="line"><a name="l02121"></a><span class="lineno"> 2121</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l02122"></a><span class="lineno"> 2122</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l02123"></a><span class="lineno"> 2123</span>&#160; uint src_stride_w,</div><div class="line"><a name="l02124"></a><span class="lineno"> 2124</span>&#160; uint dst_stride_w)</div><div class="line"><a name="l02125"></a><span class="lineno"> 2125</span>&#160;{</div><div class="line"><a name="l02126"></a><span class="lineno"> 2126</span>&#160; winograd_input_transform_2x2_3x3_stepz2_nchw(src_ptr,</div><div class="line"><a name="l02127"></a><span class="lineno"> 2127</span>&#160; src_stride_x,</div><div class="line"><a name="l02128"></a><span class="lineno"> 2128</span>&#160; src_step_x,</div><div class="line"><a name="l02129"></a><span class="lineno"> 2129</span>&#160; src_stride_y,</div><div class="line"><a name="l02130"></a><span class="lineno"> 2130</span>&#160; src_step_y,</div><div class="line"><a name="l02131"></a><span class="lineno"> 2131</span>&#160; src_stride_z,</div><div class="line"><a name="l02132"></a><span class="lineno"> 2132</span>&#160; src_step_z,</div><div class="line"><a name="l02133"></a><span class="lineno"> 2133</span>&#160; src_offset_first_element_in_bytes,</div><div class="line"><a name="l02134"></a><span class="lineno"> 2134</span>&#160; dst_ptr,</div><div class="line"><a name="l02135"></a><span class="lineno"> 2135</span>&#160; dst_stride_x,</div><div class="line"><a name="l02136"></a><span class="lineno"> 2136</span>&#160; dst_step_x,</div><div class="line"><a name="l02137"></a><span class="lineno"> 2137</span>&#160; dst_stride_y,</div><div class="line"><a name="l02138"></a><span class="lineno"> 2138</span>&#160; dst_step_y,</div><div class="line"><a name="l02139"></a><span class="lineno"> 2139</span>&#160; dst_stride_z,</div><div class="line"><a name="l02140"></a><span class="lineno"> 2140</span>&#160; dst_step_z,</div><div class="line"><a name="l02141"></a><span class="lineno"> 2141</span>&#160; dst_offset_first_element_in_bytes,</div><div class="line"><a name="l02142"></a><span class="lineno"> 2142</span>&#160; src_stride_w,</div><div class="line"><a name="l02143"></a><span class="lineno"> 2143</span>&#160; dst_stride_w);</div><div class="line"><a name="l02144"></a><span class="lineno"> 2144</span>&#160;}</div><div class="line"><a name="l02145"></a><span class="lineno"> 2145</span>&#160;<span class="comment"></span></div><div class="line"><a name="l02146"></a><span class="lineno"> 2146</span>&#160;<span class="comment">/** This OpenCL kernel computes the input transform when the kernel size is 3x1 and the output tile is 4x1</span></div><div class="line"><a name="l02147"></a><span class="lineno"> 2147</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02148"></a><span class="lineno"> 2148</span>&#160;<span class="comment"> * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5).</span></div><div class="line"><a name="l02149"></a><span class="lineno"> 2149</span>&#160;<span class="comment"> * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).</span></div><div class="line"><a name="l02150"></a><span class="lineno"> 2150</span>&#160;<span class="comment"> * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4</span></div><div class="line"><a name="l02151"></a><span class="lineno"> 2151</span>&#160;<span class="comment"> * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1</span></div><div class="line"><a name="l02152"></a><span class="lineno"> 2152</span>&#160;<span class="comment"> * @note -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time</span></div><div class="line"><a name="l02153"></a><span class="lineno"> 2153</span>&#160;<span class="comment"> * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half.</span></div><div class="line"><a name="l02154"></a><span class="lineno"> 2154</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02155"></a><span class="lineno"> 2155</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16</span></div><div class="line"><a name="l02156"></a><span class="lineno"> 2156</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l02157"></a><span class="lineno"> 2157</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02158"></a><span class="lineno"> 2158</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l02159"></a><span class="lineno"> 2159</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02160"></a><span class="lineno"> 2160</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l02161"></a><span class="lineno"> 2161</span>&#160;<span class="comment"> * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02162"></a><span class="lineno"> 2162</span>&#160;<span class="comment"> * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02163"></a><span class="lineno"> 2163</span>&#160;<span class="comment"> * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr</span></div><div class="line"><a name="l02164"></a><span class="lineno"> 2164</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l02165"></a><span class="lineno"> 2165</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02166"></a><span class="lineno"> 2166</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l02167"></a><span class="lineno"> 2167</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02168"></a><span class="lineno"> 2168</span>&#160;<span class="comment"> * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02169"></a><span class="lineno"> 2169</span>&#160;<span class="comment"> * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02170"></a><span class="lineno"> 2170</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l02171"></a><span class="lineno"> 2171</span>&#160;<span class="comment"> * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02172"></a><span class="lineno"> 2172</span>&#160;<span class="comment"> * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02173"></a><span class="lineno"> 2173</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l02174"></a><span class="lineno"> 2174</span>&#160;__kernel <span class="keywordtype">void</span> winograd_input_transform_4x1_3x1_stepz1_nchw(</div><div class="line"><a name="l02175"></a><span class="lineno"> 2175</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l02176"></a><span class="lineno"> 2176</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l02177"></a><span class="lineno"> 2177</span>&#160; uint src_stride_w,</div><div class="line"><a name="l02178"></a><span class="lineno"> 2178</span>&#160; uint dst_stride_w)</div><div class="line"><a name="l02179"></a><span class="lineno"> 2179</span>&#160;{</div><div class="line"><a name="l02180"></a><span class="lineno"> 2180</span>&#160; winograd_input_transform_4x4_3x3_stepz1_nchw(src_ptr,</div><div class="line"><a name="l02181"></a><span class="lineno"> 2181</span>&#160; src_stride_x,</div><div class="line"><a name="l02182"></a><span class="lineno"> 2182</span>&#160; src_step_x,</div><div class="line"><a name="l02183"></a><span class="lineno"> 2183</span>&#160; src_stride_y,</div><div class="line"><a name="l02184"></a><span class="lineno"> 2184</span>&#160; src_step_y,</div><div class="line"><a name="l02185"></a><span class="lineno"> 2185</span>&#160; src_stride_z,</div><div class="line"><a name="l02186"></a><span class="lineno"> 2186</span>&#160; src_step_z,</div><div class="line"><a name="l02187"></a><span class="lineno"> 2187</span>&#160; src_offset_first_element_in_bytes,</div><div class="line"><a name="l02188"></a><span class="lineno"> 2188</span>&#160; dst_ptr,</div><div class="line"><a name="l02189"></a><span class="lineno"> 2189</span>&#160; dst_stride_x,</div><div class="line"><a name="l02190"></a><span class="lineno"> 2190</span>&#160; dst_step_x,</div><div class="line"><a name="l02191"></a><span class="lineno"> 2191</span>&#160; dst_stride_y,</div><div class="line"><a name="l02192"></a><span class="lineno"> 2192</span>&#160; dst_step_y,</div><div class="line"><a name="l02193"></a><span class="lineno"> 2193</span>&#160; dst_stride_z,</div><div class="line"><a name="l02194"></a><span class="lineno"> 2194</span>&#160; dst_step_z,</div><div class="line"><a name="l02195"></a><span class="lineno"> 2195</span>&#160; dst_offset_first_element_in_bytes,</div><div class="line"><a name="l02196"></a><span class="lineno"> 2196</span>&#160; src_stride_w,</div><div class="line"><a name="l02197"></a><span class="lineno"> 2197</span>&#160; dst_stride_w);</div><div class="line"><a name="l02198"></a><span class="lineno"> 2198</span>&#160;}</div><div class="line"><a name="l02199"></a><span class="lineno"> 2199</span>&#160;<span class="comment"></span></div><div class="line"><a name="l02200"></a><span class="lineno"> 2200</span>&#160;<span class="comment">/** This OpenCL kernel computes the input transform when the kernel size is 5x1 and the output tile is 4x1 when the data layout is NCHW</span></div><div class="line"><a name="l02201"></a><span class="lineno"> 2201</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02202"></a><span class="lineno"> 2202</span>&#160;<span class="comment"> * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5).</span></div><div class="line"><a name="l02203"></a><span class="lineno"> 2203</span>&#160;<span class="comment"> * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).</span></div><div class="line"><a name="l02204"></a><span class="lineno"> 2204</span>&#160;<span class="comment"> * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2</span></div><div class="line"><a name="l02205"></a><span class="lineno"> 2205</span>&#160;<span class="comment"> * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2</span></div><div class="line"><a name="l02206"></a><span class="lineno"> 2206</span>&#160;<span class="comment"> * @note -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time</span></div><div class="line"><a name="l02207"></a><span class="lineno"> 2207</span>&#160;<span class="comment"> * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half.</span></div><div class="line"><a name="l02208"></a><span class="lineno"> 2208</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02209"></a><span class="lineno"> 2209</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16</span></div><div class="line"><a name="l02210"></a><span class="lineno"> 2210</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l02211"></a><span class="lineno"> 2211</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02212"></a><span class="lineno"> 2212</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l02213"></a><span class="lineno"> 2213</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02214"></a><span class="lineno"> 2214</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l02215"></a><span class="lineno"> 2215</span>&#160;<span class="comment"> * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02216"></a><span class="lineno"> 2216</span>&#160;<span class="comment"> * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02217"></a><span class="lineno"> 2217</span>&#160;<span class="comment"> * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr</span></div><div class="line"><a name="l02218"></a><span class="lineno"> 2218</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l02219"></a><span class="lineno"> 2219</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02220"></a><span class="lineno"> 2220</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l02221"></a><span class="lineno"> 2221</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02222"></a><span class="lineno"> 2222</span>&#160;<span class="comment"> * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02223"></a><span class="lineno"> 2223</span>&#160;<span class="comment"> * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02224"></a><span class="lineno"> 2224</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l02225"></a><span class="lineno"> 2225</span>&#160;<span class="comment"> * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02226"></a><span class="lineno"> 2226</span>&#160;<span class="comment"> * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02227"></a><span class="lineno"> 2227</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l02228"></a><span class="lineno"> 2228</span>&#160;__kernel <span class="keywordtype">void</span> winograd_input_transform_4x1_5x1_stepz1_nchw(</div><div class="line"><a name="l02229"></a><span class="lineno"> 2229</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l02230"></a><span class="lineno"> 2230</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l02231"></a><span class="lineno"> 2231</span>&#160; uint src_stride_w,</div><div class="line"><a name="l02232"></a><span class="lineno"> 2232</span>&#160; uint dst_stride_w)</div><div class="line"><a name="l02233"></a><span class="lineno"> 2233</span>&#160;{</div><div class="line"><a name="l02234"></a><span class="lineno"> 2234</span>&#160; winograd_input_transform_4x4_5x5_stepz1_nchw(src_ptr,</div><div class="line"><a name="l02235"></a><span class="lineno"> 2235</span>&#160; src_stride_x,</div><div class="line"><a name="l02236"></a><span class="lineno"> 2236</span>&#160; src_step_x,</div><div class="line"><a name="l02237"></a><span class="lineno"> 2237</span>&#160; src_stride_y,</div><div class="line"><a name="l02238"></a><span class="lineno"> 2238</span>&#160; src_step_y,</div><div class="line"><a name="l02239"></a><span class="lineno"> 2239</span>&#160; src_stride_z,</div><div class="line"><a name="l02240"></a><span class="lineno"> 2240</span>&#160; src_step_z,</div><div class="line"><a name="l02241"></a><span class="lineno"> 2241</span>&#160; src_offset_first_element_in_bytes,</div><div class="line"><a name="l02242"></a><span class="lineno"> 2242</span>&#160; dst_ptr,</div><div class="line"><a name="l02243"></a><span class="lineno"> 2243</span>&#160; dst_stride_x,</div><div class="line"><a name="l02244"></a><span class="lineno"> 2244</span>&#160; dst_step_x,</div><div class="line"><a name="l02245"></a><span class="lineno"> 2245</span>&#160; dst_stride_y,</div><div class="line"><a name="l02246"></a><span class="lineno"> 2246</span>&#160; dst_step_y,</div><div class="line"><a name="l02247"></a><span class="lineno"> 2247</span>&#160; dst_stride_z,</div><div class="line"><a name="l02248"></a><span class="lineno"> 2248</span>&#160; dst_step_z,</div><div class="line"><a name="l02249"></a><span class="lineno"> 2249</span>&#160; dst_offset_first_element_in_bytes,</div><div class="line"><a name="l02250"></a><span class="lineno"> 2250</span>&#160; src_stride_w,</div><div class="line"><a name="l02251"></a><span class="lineno"> 2251</span>&#160; dst_stride_w);</div><div class="line"><a name="l02252"></a><span class="lineno"> 2252</span>&#160;}</div><div class="line"><a name="l02253"></a><span class="lineno"> 2253</span>&#160;</div><div class="line"><a name="l02254"></a><span class="lineno"> 2254</span>&#160;<span class="preprocessor">#if defined(SRC_DIM_1) &amp;&amp; defined(SRC_DIM_2)</span></div><div class="line"><a name="l02255"></a><span class="lineno"> 2255</span>&#160;<span class="comment">/** This OpenCL kernel computes the input transform when the kernel size is 3x1 and the output tile is 4x1 for data layout NHWC</span></div><div class="line"><a name="l02256"></a><span class="lineno"> 2256</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02257"></a><span class="lineno"> 2257</span>&#160;<span class="comment"> * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5).</span></div><div class="line"><a name="l02258"></a><span class="lineno"> 2258</span>&#160;<span class="comment"> * @note Dimension one of the input tensor (width for NHWC data layout) must be passed at compile time using -DSRC_DIM1 (e.g. -DSRC_DIM_1=112)</span></div><div class="line"><a name="l02259"></a><span class="lineno"> 2259</span>&#160;<span class="comment"> * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112)</span></div><div class="line"><a name="l02260"></a><span class="lineno"> 2260</span>&#160;<span class="comment"> * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).</span></div><div class="line"><a name="l02261"></a><span class="lineno"> 2261</span>&#160;<span class="comment"> * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4</span></div><div class="line"><a name="l02262"></a><span class="lineno"> 2262</span>&#160;<span class="comment"> * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1</span></div><div class="line"><a name="l02263"></a><span class="lineno"> 2263</span>&#160;<span class="comment"> * @note -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time</span></div><div class="line"><a name="l02264"></a><span class="lineno"> 2264</span>&#160;<span class="comment"> * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half.</span></div><div class="line"><a name="l02265"></a><span class="lineno"> 2265</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02266"></a><span class="lineno"> 2266</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16</span></div><div class="line"><a name="l02267"></a><span class="lineno"> 2267</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l02268"></a><span class="lineno"> 2268</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02269"></a><span class="lineno"> 2269</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l02270"></a><span class="lineno"> 2270</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02271"></a><span class="lineno"> 2271</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l02272"></a><span class="lineno"> 2272</span>&#160;<span class="comment"> * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02273"></a><span class="lineno"> 2273</span>&#160;<span class="comment"> * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02274"></a><span class="lineno"> 2274</span>&#160;<span class="comment"> * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr</span></div><div class="line"><a name="l02275"></a><span class="lineno"> 2275</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l02276"></a><span class="lineno"> 2276</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02277"></a><span class="lineno"> 2277</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l02278"></a><span class="lineno"> 2278</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02279"></a><span class="lineno"> 2279</span>&#160;<span class="comment"> * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02280"></a><span class="lineno"> 2280</span>&#160;<span class="comment"> * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02281"></a><span class="lineno"> 2281</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l02282"></a><span class="lineno"> 2282</span>&#160;<span class="comment"> * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02283"></a><span class="lineno"> 2283</span>&#160;<span class="comment"> * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02284"></a><span class="lineno"> 2284</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l02285"></a><span class="lineno"> 2285</span>&#160;__kernel <span class="keywordtype">void</span> winograd_input_transform_4x1_3x1_stepz1_nhwc(</div><div class="line"><a name="l02286"></a><span class="lineno"> 2286</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l02287"></a><span class="lineno"> 2287</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l02288"></a><span class="lineno"> 2288</span>&#160; uint src_stride_w,</div><div class="line"><a name="l02289"></a><span class="lineno"> 2289</span>&#160; uint dst_stride_w)</div><div class="line"><a name="l02290"></a><span class="lineno"> 2290</span>&#160;{</div><div class="line"><a name="l02291"></a><span class="lineno"> 2291</span>&#160; winograd_input_transform_4x4_3x3_stepz1_nhwc(src_ptr,</div><div class="line"><a name="l02292"></a><span class="lineno"> 2292</span>&#160; src_stride_x,</div><div class="line"><a name="l02293"></a><span class="lineno"> 2293</span>&#160; src_step_x,</div><div class="line"><a name="l02294"></a><span class="lineno"> 2294</span>&#160; src_stride_y,</div><div class="line"><a name="l02295"></a><span class="lineno"> 2295</span>&#160; src_step_y,</div><div class="line"><a name="l02296"></a><span class="lineno"> 2296</span>&#160; src_stride_z,</div><div class="line"><a name="l02297"></a><span class="lineno"> 2297</span>&#160; src_step_z,</div><div class="line"><a name="l02298"></a><span class="lineno"> 2298</span>&#160; src_offset_first_element_in_bytes,</div><div class="line"><a name="l02299"></a><span class="lineno"> 2299</span>&#160; dst_ptr,</div><div class="line"><a name="l02300"></a><span class="lineno"> 2300</span>&#160; dst_stride_x,</div><div class="line"><a name="l02301"></a><span class="lineno"> 2301</span>&#160; dst_step_x,</div><div class="line"><a name="l02302"></a><span class="lineno"> 2302</span>&#160; dst_stride_y,</div><div class="line"><a name="l02303"></a><span class="lineno"> 2303</span>&#160; dst_step_y,</div><div class="line"><a name="l02304"></a><span class="lineno"> 2304</span>&#160; dst_stride_z,</div><div class="line"><a name="l02305"></a><span class="lineno"> 2305</span>&#160; dst_step_z,</div><div class="line"><a name="l02306"></a><span class="lineno"> 2306</span>&#160; dst_offset_first_element_in_bytes,</div><div class="line"><a name="l02307"></a><span class="lineno"> 2307</span>&#160; src_stride_w,</div><div class="line"><a name="l02308"></a><span class="lineno"> 2308</span>&#160; dst_stride_w);</div><div class="line"><a name="l02309"></a><span class="lineno"> 2309</span>&#160;}</div><div class="line"><a name="l02310"></a><span class="lineno"> 2310</span>&#160;<span class="comment"></span></div><div class="line"><a name="l02311"></a><span class="lineno"> 2311</span>&#160;<span class="comment">/** This OpenCL kernel computes the input transform when the kernel size is 5x1 and the output tile is 4x1 for data layout NHWC</span></div><div class="line"><a name="l02312"></a><span class="lineno"> 2312</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02313"></a><span class="lineno"> 2313</span>&#160;<span class="comment"> * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5).</span></div><div class="line"><a name="l02314"></a><span class="lineno"> 2314</span>&#160;<span class="comment"> * @note Dimension one of the input tensor (width for NHWC data layout) must be passed at compile time using -DSRC_DIM1 (e.g. -DSRC_DIM_1=112)</span></div><div class="line"><a name="l02315"></a><span class="lineno"> 2315</span>&#160;<span class="comment"> * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112)</span></div><div class="line"><a name="l02316"></a><span class="lineno"> 2316</span>&#160;<span class="comment"> * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).</span></div><div class="line"><a name="l02317"></a><span class="lineno"> 2317</span>&#160;<span class="comment"> * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4</span></div><div class="line"><a name="l02318"></a><span class="lineno"> 2318</span>&#160;<span class="comment"> * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1</span></div><div class="line"><a name="l02319"></a><span class="lineno"> 2319</span>&#160;<span class="comment"> * @note -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time</span></div><div class="line"><a name="l02320"></a><span class="lineno"> 2320</span>&#160;<span class="comment"> * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half.</span></div><div class="line"><a name="l02321"></a><span class="lineno"> 2321</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02322"></a><span class="lineno"> 2322</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16</span></div><div class="line"><a name="l02323"></a><span class="lineno"> 2323</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l02324"></a><span class="lineno"> 2324</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02325"></a><span class="lineno"> 2325</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l02326"></a><span class="lineno"> 2326</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02327"></a><span class="lineno"> 2327</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l02328"></a><span class="lineno"> 2328</span>&#160;<span class="comment"> * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02329"></a><span class="lineno"> 2329</span>&#160;<span class="comment"> * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02330"></a><span class="lineno"> 2330</span>&#160;<span class="comment"> * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr</span></div><div class="line"><a name="l02331"></a><span class="lineno"> 2331</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l02332"></a><span class="lineno"> 2332</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02333"></a><span class="lineno"> 2333</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l02334"></a><span class="lineno"> 2334</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02335"></a><span class="lineno"> 2335</span>&#160;<span class="comment"> * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02336"></a><span class="lineno"> 2336</span>&#160;<span class="comment"> * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02337"></a><span class="lineno"> 2337</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l02338"></a><span class="lineno"> 2338</span>&#160;<span class="comment"> * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02339"></a><span class="lineno"> 2339</span>&#160;<span class="comment"> * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02340"></a><span class="lineno"> 2340</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l02341"></a><span class="lineno"> 2341</span>&#160;__kernel <span class="keywordtype">void</span> winograd_input_transform_4x1_5x1_stepz1_nhwc(</div><div class="line"><a name="l02342"></a><span class="lineno"> 2342</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l02343"></a><span class="lineno"> 2343</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l02344"></a><span class="lineno"> 2344</span>&#160; uint src_stride_w,</div><div class="line"><a name="l02345"></a><span class="lineno"> 2345</span>&#160; uint dst_stride_w)</div><div class="line"><a name="l02346"></a><span class="lineno"> 2346</span>&#160;{</div><div class="line"><a name="l02347"></a><span class="lineno"> 2347</span>&#160; winograd_input_transform_4x4_5x5_stepz1_nhwc(src_ptr,</div><div class="line"><a name="l02348"></a><span class="lineno"> 2348</span>&#160; src_stride_x,</div><div class="line"><a name="l02349"></a><span class="lineno"> 2349</span>&#160; src_step_x,</div><div class="line"><a name="l02350"></a><span class="lineno"> 2350</span>&#160; src_stride_y,</div><div class="line"><a name="l02351"></a><span class="lineno"> 2351</span>&#160; src_step_y,</div><div class="line"><a name="l02352"></a><span class="lineno"> 2352</span>&#160; src_stride_z,</div><div class="line"><a name="l02353"></a><span class="lineno"> 2353</span>&#160; src_step_z,</div><div class="line"><a name="l02354"></a><span class="lineno"> 2354</span>&#160; src_offset_first_element_in_bytes,</div><div class="line"><a name="l02355"></a><span class="lineno"> 2355</span>&#160; dst_ptr,</div><div class="line"><a name="l02356"></a><span class="lineno"> 2356</span>&#160; dst_stride_x,</div><div class="line"><a name="l02357"></a><span class="lineno"> 2357</span>&#160; dst_step_x,</div><div class="line"><a name="l02358"></a><span class="lineno"> 2358</span>&#160; dst_stride_y,</div><div class="line"><a name="l02359"></a><span class="lineno"> 2359</span>&#160; dst_step_y,</div><div class="line"><a name="l02360"></a><span class="lineno"> 2360</span>&#160; dst_stride_z,</div><div class="line"><a name="l02361"></a><span class="lineno"> 2361</span>&#160; dst_step_z,</div><div class="line"><a name="l02362"></a><span class="lineno"> 2362</span>&#160; dst_offset_first_element_in_bytes,</div><div class="line"><a name="l02363"></a><span class="lineno"> 2363</span>&#160; src_stride_w,</div><div class="line"><a name="l02364"></a><span class="lineno"> 2364</span>&#160; dst_stride_w);</div><div class="line"><a name="l02365"></a><span class="lineno"> 2365</span>&#160;}</div><div class="line"><a name="l02366"></a><span class="lineno"> 2366</span>&#160;<span class="comment"></span></div><div class="line"><a name="l02367"></a><span class="lineno"> 2367</span>&#160;<span class="comment">/** This OpenCL kernel computes the input transform when the kernel size is 7x1 and the output tile is 2x1 for data layout NHWC</span></div><div class="line"><a name="l02368"></a><span class="lineno"> 2368</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02369"></a><span class="lineno"> 2369</span>&#160;<span class="comment"> * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=7).</span></div><div class="line"><a name="l02370"></a><span class="lineno"> 2370</span>&#160;<span class="comment"> * @note Dimension one of the input tensor (width for NHWC data layout) must be passed at compile time using -DSRC_DIM1 (e.g. -DSRC_DIM_1=112)</span></div><div class="line"><a name="l02371"></a><span class="lineno"> 2371</span>&#160;<span class="comment"> * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112)</span></div><div class="line"><a name="l02372"></a><span class="lineno"> 2372</span>&#160;<span class="comment"> * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).</span></div><div class="line"><a name="l02373"></a><span class="lineno"> 2373</span>&#160;<span class="comment"> * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=7</span></div><div class="line"><a name="l02374"></a><span class="lineno"> 2374</span>&#160;<span class="comment"> * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1</span></div><div class="line"><a name="l02375"></a><span class="lineno"> 2375</span>&#160;<span class="comment"> * @note -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time</span></div><div class="line"><a name="l02376"></a><span class="lineno"> 2376</span>&#160;<span class="comment"> * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half.</span></div><div class="line"><a name="l02377"></a><span class="lineno"> 2377</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02378"></a><span class="lineno"> 2378</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16</span></div><div class="line"><a name="l02379"></a><span class="lineno"> 2379</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l02380"></a><span class="lineno"> 2380</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02381"></a><span class="lineno"> 2381</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l02382"></a><span class="lineno"> 2382</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02383"></a><span class="lineno"> 2383</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l02384"></a><span class="lineno"> 2384</span>&#160;<span class="comment"> * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02385"></a><span class="lineno"> 2385</span>&#160;<span class="comment"> * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02386"></a><span class="lineno"> 2386</span>&#160;<span class="comment"> * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr</span></div><div class="line"><a name="l02387"></a><span class="lineno"> 2387</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l02388"></a><span class="lineno"> 2388</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02389"></a><span class="lineno"> 2389</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l02390"></a><span class="lineno"> 2390</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02391"></a><span class="lineno"> 2391</span>&#160;<span class="comment"> * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02392"></a><span class="lineno"> 2392</span>&#160;<span class="comment"> * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02393"></a><span class="lineno"> 2393</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l02394"></a><span class="lineno"> 2394</span>&#160;<span class="comment"> * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02395"></a><span class="lineno"> 2395</span>&#160;<span class="comment"> * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02396"></a><span class="lineno"> 2396</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l02397"></a><span class="lineno"> 2397</span>&#160;__kernel <span class="keywordtype">void</span> winograd_input_transform_2x1_7x1_stepz1_nhwc(</div><div class="line"><a name="l02398"></a><span class="lineno"> 2398</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l02399"></a><span class="lineno"> 2399</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l02400"></a><span class="lineno"> 2400</span>&#160; uint src_stride_w,</div><div class="line"><a name="l02401"></a><span class="lineno"> 2401</span>&#160; uint dst_stride_w)</div><div class="line"><a name="l02402"></a><span class="lineno"> 2402</span>&#160;{</div><div class="line"><a name="l02403"></a><span class="lineno"> 2403</span>&#160; winograd_input_transform_2x2_7x7_stepz1_nhwc(src_ptr,</div><div class="line"><a name="l02404"></a><span class="lineno"> 2404</span>&#160; src_stride_x,</div><div class="line"><a name="l02405"></a><span class="lineno"> 2405</span>&#160; src_step_x,</div><div class="line"><a name="l02406"></a><span class="lineno"> 2406</span>&#160; src_stride_y,</div><div class="line"><a name="l02407"></a><span class="lineno"> 2407</span>&#160; src_step_y,</div><div class="line"><a name="l02408"></a><span class="lineno"> 2408</span>&#160; src_stride_z,</div><div class="line"><a name="l02409"></a><span class="lineno"> 2409</span>&#160; src_step_z,</div><div class="line"><a name="l02410"></a><span class="lineno"> 2410</span>&#160; src_offset_first_element_in_bytes,</div><div class="line"><a name="l02411"></a><span class="lineno"> 2411</span>&#160; dst_ptr,</div><div class="line"><a name="l02412"></a><span class="lineno"> 2412</span>&#160; dst_stride_x,</div><div class="line"><a name="l02413"></a><span class="lineno"> 2413</span>&#160; dst_step_x,</div><div class="line"><a name="l02414"></a><span class="lineno"> 2414</span>&#160; dst_stride_y,</div><div class="line"><a name="l02415"></a><span class="lineno"> 2415</span>&#160; dst_step_y,</div><div class="line"><a name="l02416"></a><span class="lineno"> 2416</span>&#160; dst_stride_z,</div><div class="line"><a name="l02417"></a><span class="lineno"> 2417</span>&#160; dst_step_z,</div><div class="line"><a name="l02418"></a><span class="lineno"> 2418</span>&#160; dst_offset_first_element_in_bytes,</div><div class="line"><a name="l02419"></a><span class="lineno"> 2419</span>&#160; src_stride_w,</div><div class="line"><a name="l02420"></a><span class="lineno"> 2420</span>&#160; dst_stride_w);</div><div class="line"><a name="l02421"></a><span class="lineno"> 2421</span>&#160;}</div><div class="line"><a name="l02422"></a><span class="lineno"> 2422</span>&#160;<span class="preprocessor">#endif // defined(NUM_TILES_Y) &amp;&amp; defined(SRC_DIM_1) &amp;&amp; defined(SRC_DIM_2)</span></div><div class="line"><a name="l02423"></a><span class="lineno"> 2423</span>&#160;<span class="preprocessor">#endif // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL)</span></div><div class="line"><a name="l02424"></a><span class="lineno"> 2424</span>&#160;</div><div class="line"><a name="l02425"></a><span class="lineno"> 2425</span>&#160;<span class="preprocessor">#if defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l02426"></a><span class="lineno"> 2426</span>&#160;<span class="comment">/** This OpenCL kernel computes the input transform when the kernel size is 1x3 and the output tile is 1x2</span></div><div class="line"><a name="l02427"></a><span class="lineno"> 2427</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02428"></a><span class="lineno"> 2428</span>&#160;<span class="comment"> * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5).</span></div><div class="line"><a name="l02429"></a><span class="lineno"> 2429</span>&#160;<span class="comment"> * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).</span></div><div class="line"><a name="l02430"></a><span class="lineno"> 2430</span>&#160;<span class="comment"> * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1</span></div><div class="line"><a name="l02431"></a><span class="lineno"> 2431</span>&#160;<span class="comment"> * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2</span></div><div class="line"><a name="l02432"></a><span class="lineno"> 2432</span>&#160;<span class="comment"> * @note -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time</span></div><div class="line"><a name="l02433"></a><span class="lineno"> 2433</span>&#160;<span class="comment"> * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half.</span></div><div class="line"><a name="l02434"></a><span class="lineno"> 2434</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02435"></a><span class="lineno"> 2435</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16</span></div><div class="line"><a name="l02436"></a><span class="lineno"> 2436</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l02437"></a><span class="lineno"> 2437</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02438"></a><span class="lineno"> 2438</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l02439"></a><span class="lineno"> 2439</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02440"></a><span class="lineno"> 2440</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l02441"></a><span class="lineno"> 2441</span>&#160;<span class="comment"> * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02442"></a><span class="lineno"> 2442</span>&#160;<span class="comment"> * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02443"></a><span class="lineno"> 2443</span>&#160;<span class="comment"> * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr</span></div><div class="line"><a name="l02444"></a><span class="lineno"> 2444</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l02445"></a><span class="lineno"> 2445</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02446"></a><span class="lineno"> 2446</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l02447"></a><span class="lineno"> 2447</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02448"></a><span class="lineno"> 2448</span>&#160;<span class="comment"> * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02449"></a><span class="lineno"> 2449</span>&#160;<span class="comment"> * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02450"></a><span class="lineno"> 2450</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l02451"></a><span class="lineno"> 2451</span>&#160;<span class="comment"> * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02452"></a><span class="lineno"> 2452</span>&#160;<span class="comment"> * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02453"></a><span class="lineno"> 2453</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l02454"></a><span class="lineno"> 2454</span>&#160;__kernel <span class="keywordtype">void</span> winograd_input_transform_1x2_1x3_stepz1_nchw(</div><div class="line"><a name="l02455"></a><span class="lineno"> 2455</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l02456"></a><span class="lineno"> 2456</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l02457"></a><span class="lineno"> 2457</span>&#160; uint src_stride_w,</div><div class="line"><a name="l02458"></a><span class="lineno"> 2458</span>&#160; uint dst_stride_w)</div><div class="line"><a name="l02459"></a><span class="lineno"> 2459</span>&#160;{</div><div class="line"><a name="l02460"></a><span class="lineno"> 2460</span>&#160; winograd_input_transform_2x2_3x3_stepz1_nchw(src_ptr,</div><div class="line"><a name="l02461"></a><span class="lineno"> 2461</span>&#160; src_stride_x,</div><div class="line"><a name="l02462"></a><span class="lineno"> 2462</span>&#160; src_step_x,</div><div class="line"><a name="l02463"></a><span class="lineno"> 2463</span>&#160; src_stride_y,</div><div class="line"><a name="l02464"></a><span class="lineno"> 2464</span>&#160; src_step_y,</div><div class="line"><a name="l02465"></a><span class="lineno"> 2465</span>&#160; src_stride_z,</div><div class="line"><a name="l02466"></a><span class="lineno"> 2466</span>&#160; src_step_z,</div><div class="line"><a name="l02467"></a><span class="lineno"> 2467</span>&#160; src_offset_first_element_in_bytes,</div><div class="line"><a name="l02468"></a><span class="lineno"> 2468</span>&#160; dst_ptr,</div><div class="line"><a name="l02469"></a><span class="lineno"> 2469</span>&#160; dst_stride_x,</div><div class="line"><a name="l02470"></a><span class="lineno"> 2470</span>&#160; dst_step_x,</div><div class="line"><a name="l02471"></a><span class="lineno"> 2471</span>&#160; dst_stride_y,</div><div class="line"><a name="l02472"></a><span class="lineno"> 2472</span>&#160; dst_step_y,</div><div class="line"><a name="l02473"></a><span class="lineno"> 2473</span>&#160; dst_stride_z,</div><div class="line"><a name="l02474"></a><span class="lineno"> 2474</span>&#160; dst_step_z,</div><div class="line"><a name="l02475"></a><span class="lineno"> 2475</span>&#160; dst_offset_first_element_in_bytes,</div><div class="line"><a name="l02476"></a><span class="lineno"> 2476</span>&#160; src_stride_w,</div><div class="line"><a name="l02477"></a><span class="lineno"> 2477</span>&#160; dst_stride_w);</div><div class="line"><a name="l02478"></a><span class="lineno"> 2478</span>&#160;}</div><div class="line"><a name="l02479"></a><span class="lineno"> 2479</span>&#160;<span class="comment"></span></div><div class="line"><a name="l02480"></a><span class="lineno"> 2480</span>&#160;<span class="comment">/** This OpenCL kernel computes the input transform when the kernel size is 1x3, the output tile is 1x2 and the number of channels is multiple of 2</span></div><div class="line"><a name="l02481"></a><span class="lineno"> 2481</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02482"></a><span class="lineno"> 2482</span>&#160;<span class="comment"> * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5).</span></div><div class="line"><a name="l02483"></a><span class="lineno"> 2483</span>&#160;<span class="comment"> * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).</span></div><div class="line"><a name="l02484"></a><span class="lineno"> 2484</span>&#160;<span class="comment"> * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1</span></div><div class="line"><a name="l02485"></a><span class="lineno"> 2485</span>&#160;<span class="comment"> * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2</span></div><div class="line"><a name="l02486"></a><span class="lineno"> 2486</span>&#160;<span class="comment"> * @note -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time</span></div><div class="line"><a name="l02487"></a><span class="lineno"> 2487</span>&#160;<span class="comment"> * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half.</span></div><div class="line"><a name="l02488"></a><span class="lineno"> 2488</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02489"></a><span class="lineno"> 2489</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16</span></div><div class="line"><a name="l02490"></a><span class="lineno"> 2490</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l02491"></a><span class="lineno"> 2491</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02492"></a><span class="lineno"> 2492</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l02493"></a><span class="lineno"> 2493</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02494"></a><span class="lineno"> 2494</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l02495"></a><span class="lineno"> 2495</span>&#160;<span class="comment"> * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02496"></a><span class="lineno"> 2496</span>&#160;<span class="comment"> * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02497"></a><span class="lineno"> 2497</span>&#160;<span class="comment"> * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr</span></div><div class="line"><a name="l02498"></a><span class="lineno"> 2498</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l02499"></a><span class="lineno"> 2499</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02500"></a><span class="lineno"> 2500</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l02501"></a><span class="lineno"> 2501</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02502"></a><span class="lineno"> 2502</span>&#160;<span class="comment"> * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02503"></a><span class="lineno"> 2503</span>&#160;<span class="comment"> * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02504"></a><span class="lineno"> 2504</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l02505"></a><span class="lineno"> 2505</span>&#160;<span class="comment"> * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02506"></a><span class="lineno"> 2506</span>&#160;<span class="comment"> * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02507"></a><span class="lineno"> 2507</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l02508"></a><span class="lineno"> 2508</span>&#160;__kernel <span class="keywordtype">void</span> winograd_input_transform_1x2_1x3_stepz2_nchw(</div><div class="line"><a name="l02509"></a><span class="lineno"> 2509</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l02510"></a><span class="lineno"> 2510</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l02511"></a><span class="lineno"> 2511</span>&#160; uint src_stride_w,</div><div class="line"><a name="l02512"></a><span class="lineno"> 2512</span>&#160; uint dst_stride_w)</div><div class="line"><a name="l02513"></a><span class="lineno"> 2513</span>&#160;{</div><div class="line"><a name="l02514"></a><span class="lineno"> 2514</span>&#160; winograd_input_transform_2x2_3x3_stepz2_nchw(src_ptr,</div><div class="line"><a name="l02515"></a><span class="lineno"> 2515</span>&#160; src_stride_x,</div><div class="line"><a name="l02516"></a><span class="lineno"> 2516</span>&#160; src_step_x,</div><div class="line"><a name="l02517"></a><span class="lineno"> 2517</span>&#160; src_stride_y,</div><div class="line"><a name="l02518"></a><span class="lineno"> 2518</span>&#160; src_step_y,</div><div class="line"><a name="l02519"></a><span class="lineno"> 2519</span>&#160; src_stride_z,</div><div class="line"><a name="l02520"></a><span class="lineno"> 2520</span>&#160; src_step_z,</div><div class="line"><a name="l02521"></a><span class="lineno"> 2521</span>&#160; src_offset_first_element_in_bytes,</div><div class="line"><a name="l02522"></a><span class="lineno"> 2522</span>&#160; dst_ptr,</div><div class="line"><a name="l02523"></a><span class="lineno"> 2523</span>&#160; dst_stride_x,</div><div class="line"><a name="l02524"></a><span class="lineno"> 2524</span>&#160; dst_step_x,</div><div class="line"><a name="l02525"></a><span class="lineno"> 2525</span>&#160; dst_stride_y,</div><div class="line"><a name="l02526"></a><span class="lineno"> 2526</span>&#160; dst_step_y,</div><div class="line"><a name="l02527"></a><span class="lineno"> 2527</span>&#160; dst_stride_z,</div><div class="line"><a name="l02528"></a><span class="lineno"> 2528</span>&#160; dst_step_z,</div><div class="line"><a name="l02529"></a><span class="lineno"> 2529</span>&#160; dst_offset_first_element_in_bytes,</div><div class="line"><a name="l02530"></a><span class="lineno"> 2530</span>&#160; src_stride_w,</div><div class="line"><a name="l02531"></a><span class="lineno"> 2531</span>&#160; dst_stride_w);</div><div class="line"><a name="l02532"></a><span class="lineno"> 2532</span>&#160;}</div><div class="line"><a name="l02533"></a><span class="lineno"> 2533</span>&#160;<span class="comment"></span></div><div class="line"><a name="l02534"></a><span class="lineno"> 2534</span>&#160;<span class="comment">/** This OpenCL kernel computes the input transform when the kernel size is 1x3 and the output tile is 1x4</span></div><div class="line"><a name="l02535"></a><span class="lineno"> 2535</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02536"></a><span class="lineno"> 2536</span>&#160;<span class="comment"> * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5).</span></div><div class="line"><a name="l02537"></a><span class="lineno"> 2537</span>&#160;<span class="comment"> * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).</span></div><div class="line"><a name="l02538"></a><span class="lineno"> 2538</span>&#160;<span class="comment"> * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1</span></div><div class="line"><a name="l02539"></a><span class="lineno"> 2539</span>&#160;<span class="comment"> * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4</span></div><div class="line"><a name="l02540"></a><span class="lineno"> 2540</span>&#160;<span class="comment"> * @note -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time</span></div><div class="line"><a name="l02541"></a><span class="lineno"> 2541</span>&#160;<span class="comment"> * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half.</span></div><div class="line"><a name="l02542"></a><span class="lineno"> 2542</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02543"></a><span class="lineno"> 2543</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16</span></div><div class="line"><a name="l02544"></a><span class="lineno"> 2544</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l02545"></a><span class="lineno"> 2545</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02546"></a><span class="lineno"> 2546</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l02547"></a><span class="lineno"> 2547</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02548"></a><span class="lineno"> 2548</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l02549"></a><span class="lineno"> 2549</span>&#160;<span class="comment"> * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02550"></a><span class="lineno"> 2550</span>&#160;<span class="comment"> * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02551"></a><span class="lineno"> 2551</span>&#160;<span class="comment"> * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr</span></div><div class="line"><a name="l02552"></a><span class="lineno"> 2552</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l02553"></a><span class="lineno"> 2553</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02554"></a><span class="lineno"> 2554</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l02555"></a><span class="lineno"> 2555</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02556"></a><span class="lineno"> 2556</span>&#160;<span class="comment"> * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02557"></a><span class="lineno"> 2557</span>&#160;<span class="comment"> * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02558"></a><span class="lineno"> 2558</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l02559"></a><span class="lineno"> 2559</span>&#160;<span class="comment"> * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02560"></a><span class="lineno"> 2560</span>&#160;<span class="comment"> * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02561"></a><span class="lineno"> 2561</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l02562"></a><span class="lineno"> 2562</span>&#160;__kernel <span class="keywordtype">void</span> winograd_input_transform_1x4_1x3_stepz1_nchw(</div><div class="line"><a name="l02563"></a><span class="lineno"> 2563</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l02564"></a><span class="lineno"> 2564</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l02565"></a><span class="lineno"> 2565</span>&#160; uint src_stride_w,</div><div class="line"><a name="l02566"></a><span class="lineno"> 2566</span>&#160; uint dst_stride_w)</div><div class="line"><a name="l02567"></a><span class="lineno"> 2567</span>&#160;{</div><div class="line"><a name="l02568"></a><span class="lineno"> 2568</span>&#160; winograd_input_transform_4x4_3x3_stepz1_nchw(src_ptr,</div><div class="line"><a name="l02569"></a><span class="lineno"> 2569</span>&#160; src_stride_x,</div><div class="line"><a name="l02570"></a><span class="lineno"> 2570</span>&#160; src_step_x,</div><div class="line"><a name="l02571"></a><span class="lineno"> 2571</span>&#160; src_stride_y,</div><div class="line"><a name="l02572"></a><span class="lineno"> 2572</span>&#160; src_step_y,</div><div class="line"><a name="l02573"></a><span class="lineno"> 2573</span>&#160; src_stride_z,</div><div class="line"><a name="l02574"></a><span class="lineno"> 2574</span>&#160; src_step_z,</div><div class="line"><a name="l02575"></a><span class="lineno"> 2575</span>&#160; src_offset_first_element_in_bytes,</div><div class="line"><a name="l02576"></a><span class="lineno"> 2576</span>&#160; dst_ptr,</div><div class="line"><a name="l02577"></a><span class="lineno"> 2577</span>&#160; dst_stride_x,</div><div class="line"><a name="l02578"></a><span class="lineno"> 2578</span>&#160; dst_step_x,</div><div class="line"><a name="l02579"></a><span class="lineno"> 2579</span>&#160; dst_stride_y,</div><div class="line"><a name="l02580"></a><span class="lineno"> 2580</span>&#160; dst_step_y,</div><div class="line"><a name="l02581"></a><span class="lineno"> 2581</span>&#160; dst_stride_z,</div><div class="line"><a name="l02582"></a><span class="lineno"> 2582</span>&#160; dst_step_z,</div><div class="line"><a name="l02583"></a><span class="lineno"> 2583</span>&#160; dst_offset_first_element_in_bytes,</div><div class="line"><a name="l02584"></a><span class="lineno"> 2584</span>&#160; src_stride_w,</div><div class="line"><a name="l02585"></a><span class="lineno"> 2585</span>&#160; dst_stride_w);</div><div class="line"><a name="l02586"></a><span class="lineno"> 2586</span>&#160;}</div><div class="line"><a name="l02587"></a><span class="lineno"> 2587</span>&#160;<span class="comment"></span></div><div class="line"><a name="l02588"></a><span class="lineno"> 2588</span>&#160;<span class="comment">/** This OpenCL kernel computes the input transform when the kernel size is 1x5 and the output tile is 1x4</span></div><div class="line"><a name="l02589"></a><span class="lineno"> 2589</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02590"></a><span class="lineno"> 2590</span>&#160;<span class="comment"> * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5).</span></div><div class="line"><a name="l02591"></a><span class="lineno"> 2591</span>&#160;<span class="comment"> * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).</span></div><div class="line"><a name="l02592"></a><span class="lineno"> 2592</span>&#160;<span class="comment"> * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1</span></div><div class="line"><a name="l02593"></a><span class="lineno"> 2593</span>&#160;<span class="comment"> * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4</span></div><div class="line"><a name="l02594"></a><span class="lineno"> 2594</span>&#160;<span class="comment"> * @note -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time</span></div><div class="line"><a name="l02595"></a><span class="lineno"> 2595</span>&#160;<span class="comment"> * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half.</span></div><div class="line"><a name="l02596"></a><span class="lineno"> 2596</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02597"></a><span class="lineno"> 2597</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16</span></div><div class="line"><a name="l02598"></a><span class="lineno"> 2598</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l02599"></a><span class="lineno"> 2599</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02600"></a><span class="lineno"> 2600</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l02601"></a><span class="lineno"> 2601</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02602"></a><span class="lineno"> 2602</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l02603"></a><span class="lineno"> 2603</span>&#160;<span class="comment"> * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02604"></a><span class="lineno"> 2604</span>&#160;<span class="comment"> * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02605"></a><span class="lineno"> 2605</span>&#160;<span class="comment"> * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr</span></div><div class="line"><a name="l02606"></a><span class="lineno"> 2606</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l02607"></a><span class="lineno"> 2607</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02608"></a><span class="lineno"> 2608</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l02609"></a><span class="lineno"> 2609</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02610"></a><span class="lineno"> 2610</span>&#160;<span class="comment"> * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02611"></a><span class="lineno"> 2611</span>&#160;<span class="comment"> * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02612"></a><span class="lineno"> 2612</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l02613"></a><span class="lineno"> 2613</span>&#160;<span class="comment"> * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02614"></a><span class="lineno"> 2614</span>&#160;<span class="comment"> * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02615"></a><span class="lineno"> 2615</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l02616"></a><span class="lineno"> 2616</span>&#160;__kernel <span class="keywordtype">void</span> winograd_input_transform_1x4_1x5_stepz1_nchw(</div><div class="line"><a name="l02617"></a><span class="lineno"> 2617</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l02618"></a><span class="lineno"> 2618</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l02619"></a><span class="lineno"> 2619</span>&#160; uint src_stride_w,</div><div class="line"><a name="l02620"></a><span class="lineno"> 2620</span>&#160; uint dst_stride_w)</div><div class="line"><a name="l02621"></a><span class="lineno"> 2621</span>&#160;{</div><div class="line"><a name="l02622"></a><span class="lineno"> 2622</span>&#160; winograd_input_transform_4x4_5x5_stepz1_nchw(src_ptr,</div><div class="line"><a name="l02623"></a><span class="lineno"> 2623</span>&#160; src_stride_x,</div><div class="line"><a name="l02624"></a><span class="lineno"> 2624</span>&#160; src_step_x,</div><div class="line"><a name="l02625"></a><span class="lineno"> 2625</span>&#160; src_stride_y,</div><div class="line"><a name="l02626"></a><span class="lineno"> 2626</span>&#160; src_step_y,</div><div class="line"><a name="l02627"></a><span class="lineno"> 2627</span>&#160; src_stride_z,</div><div class="line"><a name="l02628"></a><span class="lineno"> 2628</span>&#160; src_step_z,</div><div class="line"><a name="l02629"></a><span class="lineno"> 2629</span>&#160; src_offset_first_element_in_bytes,</div><div class="line"><a name="l02630"></a><span class="lineno"> 2630</span>&#160; dst_ptr,</div><div class="line"><a name="l02631"></a><span class="lineno"> 2631</span>&#160; dst_stride_x,</div><div class="line"><a name="l02632"></a><span class="lineno"> 2632</span>&#160; dst_step_x,</div><div class="line"><a name="l02633"></a><span class="lineno"> 2633</span>&#160; dst_stride_y,</div><div class="line"><a name="l02634"></a><span class="lineno"> 2634</span>&#160; dst_step_y,</div><div class="line"><a name="l02635"></a><span class="lineno"> 2635</span>&#160; dst_stride_z,</div><div class="line"><a name="l02636"></a><span class="lineno"> 2636</span>&#160; dst_step_z,</div><div class="line"><a name="l02637"></a><span class="lineno"> 2637</span>&#160; dst_offset_first_element_in_bytes,</div><div class="line"><a name="l02638"></a><span class="lineno"> 2638</span>&#160; src_stride_w,</div><div class="line"><a name="l02639"></a><span class="lineno"> 2639</span>&#160; dst_stride_w);</div><div class="line"><a name="l02640"></a><span class="lineno"> 2640</span>&#160;}</div><div class="line"><a name="l02641"></a><span class="lineno"> 2641</span>&#160;</div><div class="line"><a name="l02642"></a><span class="lineno"> 2642</span>&#160;<span class="preprocessor">#if defined(SRC_DIM_1) &amp;&amp; defined(SRC_DIM_2)</span></div><div class="line"><a name="l02643"></a><span class="lineno"> 2643</span>&#160;<span class="comment">/** This OpenCL kernel computes the input transform when the kernel size is 1x3 and the output tile is 1x4 for data layout NHWC</span></div><div class="line"><a name="l02644"></a><span class="lineno"> 2644</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02645"></a><span class="lineno"> 2645</span>&#160;<span class="comment"> * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5).</span></div><div class="line"><a name="l02646"></a><span class="lineno"> 2646</span>&#160;<span class="comment"> * @note Dimension one of the input tensor (width for NHWC data layout) must be passed at compile time using -DSRC_DIM1 (e.g. -DSRC_DIM_1=112)</span></div><div class="line"><a name="l02647"></a><span class="lineno"> 2647</span>&#160;<span class="comment"> * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112)</span></div><div class="line"><a name="l02648"></a><span class="lineno"> 2648</span>&#160;<span class="comment"> * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).</span></div><div class="line"><a name="l02649"></a><span class="lineno"> 2649</span>&#160;<span class="comment"> * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1</span></div><div class="line"><a name="l02650"></a><span class="lineno"> 2650</span>&#160;<span class="comment"> * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4</span></div><div class="line"><a name="l02651"></a><span class="lineno"> 2651</span>&#160;<span class="comment"> * @note -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time</span></div><div class="line"><a name="l02652"></a><span class="lineno"> 2652</span>&#160;<span class="comment"> * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half.</span></div><div class="line"><a name="l02653"></a><span class="lineno"> 2653</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02654"></a><span class="lineno"> 2654</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16</span></div><div class="line"><a name="l02655"></a><span class="lineno"> 2655</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l02656"></a><span class="lineno"> 2656</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02657"></a><span class="lineno"> 2657</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l02658"></a><span class="lineno"> 2658</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02659"></a><span class="lineno"> 2659</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l02660"></a><span class="lineno"> 2660</span>&#160;<span class="comment"> * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02661"></a><span class="lineno"> 2661</span>&#160;<span class="comment"> * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02662"></a><span class="lineno"> 2662</span>&#160;<span class="comment"> * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr</span></div><div class="line"><a name="l02663"></a><span class="lineno"> 2663</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l02664"></a><span class="lineno"> 2664</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02665"></a><span class="lineno"> 2665</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l02666"></a><span class="lineno"> 2666</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02667"></a><span class="lineno"> 2667</span>&#160;<span class="comment"> * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02668"></a><span class="lineno"> 2668</span>&#160;<span class="comment"> * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02669"></a><span class="lineno"> 2669</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l02670"></a><span class="lineno"> 2670</span>&#160;<span class="comment"> * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02671"></a><span class="lineno"> 2671</span>&#160;<span class="comment"> * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02672"></a><span class="lineno"> 2672</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l02673"></a><span class="lineno"> 2673</span>&#160;__kernel <span class="keywordtype">void</span> winograd_input_transform_1x4_1x3_stepz1_nhwc(</div><div class="line"><a name="l02674"></a><span class="lineno"> 2674</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l02675"></a><span class="lineno"> 2675</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l02676"></a><span class="lineno"> 2676</span>&#160; uint src_stride_w,</div><div class="line"><a name="l02677"></a><span class="lineno"> 2677</span>&#160; uint dst_stride_w)</div><div class="line"><a name="l02678"></a><span class="lineno"> 2678</span>&#160;{</div><div class="line"><a name="l02679"></a><span class="lineno"> 2679</span>&#160; winograd_input_transform_4x4_3x3_stepz1_nhwc(src_ptr,</div><div class="line"><a name="l02680"></a><span class="lineno"> 2680</span>&#160; src_stride_x,</div><div class="line"><a name="l02681"></a><span class="lineno"> 2681</span>&#160; src_step_x,</div><div class="line"><a name="l02682"></a><span class="lineno"> 2682</span>&#160; src_stride_y,</div><div class="line"><a name="l02683"></a><span class="lineno"> 2683</span>&#160; src_step_y,</div><div class="line"><a name="l02684"></a><span class="lineno"> 2684</span>&#160; src_stride_z,</div><div class="line"><a name="l02685"></a><span class="lineno"> 2685</span>&#160; src_step_z,</div><div class="line"><a name="l02686"></a><span class="lineno"> 2686</span>&#160; src_offset_first_element_in_bytes,</div><div class="line"><a name="l02687"></a><span class="lineno"> 2687</span>&#160; dst_ptr,</div><div class="line"><a name="l02688"></a><span class="lineno"> 2688</span>&#160; dst_stride_x,</div><div class="line"><a name="l02689"></a><span class="lineno"> 2689</span>&#160; dst_step_x,</div><div class="line"><a name="l02690"></a><span class="lineno"> 2690</span>&#160; dst_stride_y,</div><div class="line"><a name="l02691"></a><span class="lineno"> 2691</span>&#160; dst_step_y,</div><div class="line"><a name="l02692"></a><span class="lineno"> 2692</span>&#160; dst_stride_z,</div><div class="line"><a name="l02693"></a><span class="lineno"> 2693</span>&#160; dst_step_z,</div><div class="line"><a name="l02694"></a><span class="lineno"> 2694</span>&#160; dst_offset_first_element_in_bytes,</div><div class="line"><a name="l02695"></a><span class="lineno"> 2695</span>&#160; src_stride_w,</div><div class="line"><a name="l02696"></a><span class="lineno"> 2696</span>&#160; dst_stride_w);</div><div class="line"><a name="l02697"></a><span class="lineno"> 2697</span>&#160;}</div><div class="line"><a name="l02698"></a><span class="lineno"> 2698</span>&#160;<span class="comment"></span></div><div class="line"><a name="l02699"></a><span class="lineno"> 2699</span>&#160;<span class="comment">/** This OpenCL kernel computes the input transform when the kernel size is 1x5 and the output tile is 1x4 for data layout NHWC</span></div><div class="line"><a name="l02700"></a><span class="lineno"> 2700</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02701"></a><span class="lineno"> 2701</span>&#160;<span class="comment"> * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5).</span></div><div class="line"><a name="l02702"></a><span class="lineno"> 2702</span>&#160;<span class="comment"> * @note Dimension one of the input tensor (width for NHWC data layout) must be passed at compile time using -DSRC_DIM1 (e.g. -DSRC_DIM_1=112)</span></div><div class="line"><a name="l02703"></a><span class="lineno"> 2703</span>&#160;<span class="comment"> * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112)</span></div><div class="line"><a name="l02704"></a><span class="lineno"> 2704</span>&#160;<span class="comment"> * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).</span></div><div class="line"><a name="l02705"></a><span class="lineno"> 2705</span>&#160;<span class="comment"> * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1</span></div><div class="line"><a name="l02706"></a><span class="lineno"> 2706</span>&#160;<span class="comment"> * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4</span></div><div class="line"><a name="l02707"></a><span class="lineno"> 2707</span>&#160;<span class="comment"> * @note -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time</span></div><div class="line"><a name="l02708"></a><span class="lineno"> 2708</span>&#160;<span class="comment"> * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half.</span></div><div class="line"><a name="l02709"></a><span class="lineno"> 2709</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02710"></a><span class="lineno"> 2710</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16</span></div><div class="line"><a name="l02711"></a><span class="lineno"> 2711</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l02712"></a><span class="lineno"> 2712</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02713"></a><span class="lineno"> 2713</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l02714"></a><span class="lineno"> 2714</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02715"></a><span class="lineno"> 2715</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l02716"></a><span class="lineno"> 2716</span>&#160;<span class="comment"> * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02717"></a><span class="lineno"> 2717</span>&#160;<span class="comment"> * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02718"></a><span class="lineno"> 2718</span>&#160;<span class="comment"> * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr</span></div><div class="line"><a name="l02719"></a><span class="lineno"> 2719</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l02720"></a><span class="lineno"> 2720</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02721"></a><span class="lineno"> 2721</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l02722"></a><span class="lineno"> 2722</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02723"></a><span class="lineno"> 2723</span>&#160;<span class="comment"> * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02724"></a><span class="lineno"> 2724</span>&#160;<span class="comment"> * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02725"></a><span class="lineno"> 2725</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l02726"></a><span class="lineno"> 2726</span>&#160;<span class="comment"> * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02727"></a><span class="lineno"> 2727</span>&#160;<span class="comment"> * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02728"></a><span class="lineno"> 2728</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l02729"></a><span class="lineno"> 2729</span>&#160;__kernel <span class="keywordtype">void</span> winograd_input_transform_1x4_1x5_stepz1_nhwc(</div><div class="line"><a name="l02730"></a><span class="lineno"> 2730</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l02731"></a><span class="lineno"> 2731</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l02732"></a><span class="lineno"> 2732</span>&#160; uint src_stride_w,</div><div class="line"><a name="l02733"></a><span class="lineno"> 2733</span>&#160; uint dst_stride_w)</div><div class="line"><a name="l02734"></a><span class="lineno"> 2734</span>&#160;{</div><div class="line"><a name="l02735"></a><span class="lineno"> 2735</span>&#160; winograd_input_transform_4x4_5x5_stepz1_nhwc(src_ptr,</div><div class="line"><a name="l02736"></a><span class="lineno"> 2736</span>&#160; src_stride_x,</div><div class="line"><a name="l02737"></a><span class="lineno"> 2737</span>&#160; src_step_x,</div><div class="line"><a name="l02738"></a><span class="lineno"> 2738</span>&#160; src_stride_y,</div><div class="line"><a name="l02739"></a><span class="lineno"> 2739</span>&#160; src_step_y,</div><div class="line"><a name="l02740"></a><span class="lineno"> 2740</span>&#160; src_stride_z,</div><div class="line"><a name="l02741"></a><span class="lineno"> 2741</span>&#160; src_step_z,</div><div class="line"><a name="l02742"></a><span class="lineno"> 2742</span>&#160; src_offset_first_element_in_bytes,</div><div class="line"><a name="l02743"></a><span class="lineno"> 2743</span>&#160; dst_ptr,</div><div class="line"><a name="l02744"></a><span class="lineno"> 2744</span>&#160; dst_stride_x,</div><div class="line"><a name="l02745"></a><span class="lineno"> 2745</span>&#160; dst_step_x,</div><div class="line"><a name="l02746"></a><span class="lineno"> 2746</span>&#160; dst_stride_y,</div><div class="line"><a name="l02747"></a><span class="lineno"> 2747</span>&#160; dst_step_y,</div><div class="line"><a name="l02748"></a><span class="lineno"> 2748</span>&#160; dst_stride_z,</div><div class="line"><a name="l02749"></a><span class="lineno"> 2749</span>&#160; dst_step_z,</div><div class="line"><a name="l02750"></a><span class="lineno"> 2750</span>&#160; dst_offset_first_element_in_bytes,</div><div class="line"><a name="l02751"></a><span class="lineno"> 2751</span>&#160; src_stride_w,</div><div class="line"><a name="l02752"></a><span class="lineno"> 2752</span>&#160; dst_stride_w);</div><div class="line"><a name="l02753"></a><span class="lineno"> 2753</span>&#160;}</div><div class="line"><a name="l02754"></a><span class="lineno"> 2754</span>&#160;<span class="comment"></span></div><div class="line"><a name="l02755"></a><span class="lineno"> 2755</span>&#160;<span class="comment">/** This OpenCL kernel computes the input transform when the kernel size is 1x7 and the output tile is 1x2 for data layout NHWC</span></div><div class="line"><a name="l02756"></a><span class="lineno"> 2756</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02757"></a><span class="lineno"> 2757</span>&#160;<span class="comment"> * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=7).</span></div><div class="line"><a name="l02758"></a><span class="lineno"> 2758</span>&#160;<span class="comment"> * @note Dimension one of the input tensor (width for NHWC data layout) must be passed at compile time using -DSRC_DIM1 (e.g. -DSRC_DIM_1=112)</span></div><div class="line"><a name="l02759"></a><span class="lineno"> 2759</span>&#160;<span class="comment"> * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112)</span></div><div class="line"><a name="l02760"></a><span class="lineno"> 2760</span>&#160;<span class="comment"> * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).</span></div><div class="line"><a name="l02761"></a><span class="lineno"> 2761</span>&#160;<span class="comment"> * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1</span></div><div class="line"><a name="l02762"></a><span class="lineno"> 2762</span>&#160;<span class="comment"> * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=7</span></div><div class="line"><a name="l02763"></a><span class="lineno"> 2763</span>&#160;<span class="comment"> * @note -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time</span></div><div class="line"><a name="l02764"></a><span class="lineno"> 2764</span>&#160;<span class="comment"> * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half.</span></div><div class="line"><a name="l02765"></a><span class="lineno"> 2765</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l02766"></a><span class="lineno"> 2766</span>&#160;<span class="comment"> * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16</span></div><div class="line"><a name="l02767"></a><span class="lineno"> 2767</span>&#160;<span class="comment"> * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l02768"></a><span class="lineno"> 2768</span>&#160;<span class="comment"> * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02769"></a><span class="lineno"> 2769</span>&#160;<span class="comment"> * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l02770"></a><span class="lineno"> 2770</span>&#160;<span class="comment"> * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02771"></a><span class="lineno"> 2771</span>&#160;<span class="comment"> * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l02772"></a><span class="lineno"> 2772</span>&#160;<span class="comment"> * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02773"></a><span class="lineno"> 2773</span>&#160;<span class="comment"> * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02774"></a><span class="lineno"> 2774</span>&#160;<span class="comment"> * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr</span></div><div class="line"><a name="l02775"></a><span class="lineno"> 2775</span>&#160;<span class="comment"> * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)</span></div><div class="line"><a name="l02776"></a><span class="lineno"> 2776</span>&#160;<span class="comment"> * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l02777"></a><span class="lineno"> 2777</span>&#160;<span class="comment"> * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)</span></div><div class="line"><a name="l02778"></a><span class="lineno"> 2778</span>&#160;<span class="comment"> * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02779"></a><span class="lineno"> 2779</span>&#160;<span class="comment"> * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l02780"></a><span class="lineno"> 2780</span>&#160;<span class="comment"> * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l02781"></a><span class="lineno"> 2781</span>&#160;<span class="comment"> * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor</span></div><div class="line"><a name="l02782"></a><span class="lineno"> 2782</span>&#160;<span class="comment"> * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02783"></a><span class="lineno"> 2783</span>&#160;<span class="comment"> * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes)</span></div><div class="line"><a name="l02784"></a><span class="lineno"> 2784</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l02785"></a><span class="lineno"> 2785</span>&#160;__kernel <span class="keywordtype">void</span> winograd_input_transform_1x2_1x7_stepz1_nhwc(</div><div class="line"><a name="l02786"></a><span class="lineno"> 2786</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>),</div><div class="line"><a name="l02787"></a><span class="lineno"> 2787</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l02788"></a><span class="lineno"> 2788</span>&#160; uint src_stride_w,</div><div class="line"><a name="l02789"></a><span class="lineno"> 2789</span>&#160; uint dst_stride_w)</div><div class="line"><a name="l02790"></a><span class="lineno"> 2790</span>&#160;{</div><div class="line"><a name="l02791"></a><span class="lineno"> 2791</span>&#160; winograd_input_transform_2x2_7x7_stepz1_nhwc(src_ptr,</div><div class="line"><a name="l02792"></a><span class="lineno"> 2792</span>&#160; src_stride_x,</div><div class="line"><a name="l02793"></a><span class="lineno"> 2793</span>&#160; src_step_x,</div><div class="line"><a name="l02794"></a><span class="lineno"> 2794</span>&#160; src_stride_y,</div><div class="line"><a name="l02795"></a><span class="lineno"> 2795</span>&#160; src_step_y,</div><div class="line"><a name="l02796"></a><span class="lineno"> 2796</span>&#160; src_stride_z,</div><div class="line"><a name="l02797"></a><span class="lineno"> 2797</span>&#160; src_step_z,</div><div class="line"><a name="l02798"></a><span class="lineno"> 2798</span>&#160; src_offset_first_element_in_bytes,</div><div class="line"><a name="l02799"></a><span class="lineno"> 2799</span>&#160; dst_ptr,</div><div class="line"><a name="l02800"></a><span class="lineno"> 2800</span>&#160; dst_stride_x,</div><div class="line"><a name="l02801"></a><span class="lineno"> 2801</span>&#160; dst_step_x,</div><div class="line"><a name="l02802"></a><span class="lineno"> 2802</span>&#160; dst_stride_y,</div><div class="line"><a name="l02803"></a><span class="lineno"> 2803</span>&#160; dst_step_y,</div><div class="line"><a name="l02804"></a><span class="lineno"> 2804</span>&#160; dst_stride_z,</div><div class="line"><a name="l02805"></a><span class="lineno"> 2805</span>&#160; dst_step_z,</div><div class="line"><a name="l02806"></a><span class="lineno"> 2806</span>&#160; dst_offset_first_element_in_bytes,</div><div class="line"><a name="l02807"></a><span class="lineno"> 2807</span>&#160; src_stride_w,</div><div class="line"><a name="l02808"></a><span class="lineno"> 2808</span>&#160; dst_stride_w);</div><div class="line"><a name="l02809"></a><span class="lineno"> 2809</span>&#160;}</div><div class="line"><a name="l02810"></a><span class="lineno"> 2810</span>&#160;<span class="preprocessor">#endif // defined(SRC_DIM_1) &amp;&amp; defined(SRC_DIM_2)</span></div><div class="line"><a name="l02811"></a><span class="lineno"> 2811</span>&#160;<span class="preprocessor">#endif // defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)</span></div><div class="line"><a name="l02812"></a><span class="lineno"> 2812</span>&#160;<span class="preprocessor">#endif // defined(NUM_TILES_X) &amp;&amp; defined(PAD_LEFT) &amp;&amp; defined(PAD_TOP) &amp;&amp; defined(OUTPUT_TILE_W) &amp;&amp; defined(OUTPUT_TILE_H)</span></div><div class="ttc" id="winograd__input__transform_8cl_xhtml_a4b01af9651d23ef289e82a4db19aac7f"><div class="ttname"><a href="winograd__input__transform_8cl.xhtml#a4b01af9651d23ef289e82a4db19aac7f">OUTPUT_ROW_2x2_7x7</a></div><div class="ttdeci">#define OUTPUT_ROW_2x2_7x7(out, tmp, comm_fact)</div><div class="ttdef"><b>Definition:</b> <a href="winograd__input__transform_8cl_source.xhtml#l00046">winograd_input_transform.cl:46</a></div></div>
<div class="ttc" id="convolution3x3_8cl_xhtml_afb8c72ce35c4a1f4a2588d6573e54aa1"><div class="ttname"><a href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a></div><div class="ttdeci">#define DATA_TYPE</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00027">convolution3x3.cl:27</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aa76b4a6e74940dabc5b7fc6b2dab3545"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">arm_compute::test::validation::b</a></div><div class="ttdeci">SimpleTensor&lt; float &gt; b</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_d_f_t_8cpp_source.xhtml#l00157">DFT.cpp:157</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1utility_xhtml_a96efecf997f13a914609ddf1eb67f624"><div class="ttname"><a href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">arm_compute::utility::clamp</a></div><div class="ttdeci">DataType clamp(const DataType &amp;n, const DataType &amp;lower=std::numeric_limits&lt; RangeType &gt;::lowest(), const DataType &amp;upper=std::numeric_limits&lt; RangeType &gt;::max())</div><div class="ttdoc">Performs clamping among a lower and upper value.</div><div class="ttdef"><b>Definition:</b> <a href="_utility_8h_source.xhtml#l00099">Utility.h:99</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00102">AbsoluteDifference.cpp:102</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_af77145fbdc6b0c8931148f5597d9de53"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">arm_compute::test::validation::select</a></div><div class="ttdeci">CLSelect select</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_select_8cpp_source.xhtml#l00164">Select.cpp:164</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml">helpers.h</a></div></div>
<div class="ttc" id="winograd__input__transform_8cl_xhtml_a993dcfcc7bd076d4d0f33be70e42e2b9"><div class="ttname"><a href="winograd__input__transform_8cl.xhtml#a993dcfcc7bd076d4d0f33be70e42e2b9">OUTPUT_ROW_4x4_5x5</a></div><div class="ttdeci">#define OUTPUT_ROW_4x4_5x5(out, tmp, comm_fact)</div><div class="ttdef"><b>Definition:</b> <a href="winograd__input__transform_8cl_source.xhtml#l00026">winograd_input_transform.cl:26</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a6b83038822d1ae7ab619b684ed3b7fc0"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a></div><div class="ttdeci">#define TENSOR3D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00283">helpers.h:283</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a989ab3e96426615bb98e04e0235088ca"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">arm_compute::test::validation::src</a></div><div class="ttdeci">cast configure &amp; src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_cast_8cpp_source.xhtml#l00169">Cast.cpp:169</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a36f754c05b6fddf6df0d8d0a74f8159f"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a></div><div class="ttdeci">#define VEC_DATA_TYPE(type, size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00255">helpers.h:255</a></div></div>
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