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<a href="normalization__layer_8cl.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<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="normalization__layer_8cl.xhtml#ac0bf948069436897cf005ea45ac73a4f"> 26</a></span>&#160;<span class="preprocessor">#define MUL_OP(x, y) ((x) * (y))</span></div><div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="normalization__layer_8cl.xhtml#a334426d638df3b4108c366e240cf5504"> 27</a></span>&#160;<span class="preprocessor">#define ADD_OP(x, y) ((x) + (y))</span></div><div class="line"><a name="l00028"></a><span class="lineno"><a class="line" href="normalization__layer_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f"> 28</a></span>&#160;<span class="preprocessor">#define DIV_OP(x, y) ((x) / (y))</span></div><div class="line"><a name="l00029"></a><span class="lineno"><a class="line" href="normalization__layer_8cl.xhtml#a09724da1a9e5ba54260905829ec27db4"> 29</a></span>&#160;<span class="preprocessor">#define POW_OP(x, y) pow((x), (y))</span></div><div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="normalization__layer_8cl.xhtml#a107d847044e677b01e9bd3d5251b39d9"> 30</a></span>&#160;<span class="preprocessor">#define SQCVT_SAT(a) (a)</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="normalization__layer_8cl.xhtml#a10a9bf1a9fce27664d5f91844ff3f691"> 32</a></span>&#160;<span class="preprocessor">#define LOAD_OP(offset, ptr) vload4(offset, ptr)</span></div><div class="line"><a name="l00033"></a><span class="lineno"><a class="line" href="normalization__layer_8cl.xhtml#ac59caf44b60378c02032aab994ad5ac1"> 33</a></span>&#160;<span class="preprocessor">#define STORE_OP(data, offset, ptr) vstore4(data, offset, ptr)</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="preprocessor">#if defined(NUM_SLICES)</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;__kernel <span class="keywordtype">void</span> normalization_layer_cross_map(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(input),</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(output))</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; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> in = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> out = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(output);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</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>, VEC_SIZE)</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; acc = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))0;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</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>, VEC_SIZE)</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; coeff_v = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))<a class="code" href="normalization__layer_8cl.xhtml#a107d847044e677b01e9bd3d5251b39d9">SQCVT_SAT</a>(COEFF);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</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>, VEC_SIZE)</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; beta_v = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))<a class="code" href="normalization__layer_8cl.xhtml#a107d847044e677b01e9bd3d5251b39d9">SQCVT_SAT</a>(BETA);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</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>, VEC_SIZE)</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; kappa_v = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))<a class="code" href="normalization__layer_8cl.xhtml#a107d847044e677b01e9bd3d5251b39d9">SQCVT_SAT</a>(KAPPA);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> current_slice = get_global_id(2);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> left_slice = max(-(<span class="keywordtype">int</span>)RADIUS, -current_slice);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> right_slice = min((<span class="keywordtype">int</span>)RADIUS, (<span class="keywordtype">int</span>)NUM_SLICES - 1 - current_slice);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = left_slice; i &lt;= right_slice; i++)</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; {</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</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>, VEC_SIZE)</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; values = <a class="code" href="normalization__layer_8cl.xhtml#a10a9bf1a9fce27664d5f91844ff3f691">LOAD_OP</a>(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;in, 0, 0, i));</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; acc = <a class="code" href="normalization__layer_8cl.xhtml#a334426d638df3b4108c366e240cf5504">ADD_OP</a>(acc, <a class="code" href="normalization__layer_8cl.xhtml#ac0bf948069436897cf005ea45ac73a4f">MUL_OP</a>(values, values));</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; }</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; acc = <a class="code" href="normalization__layer_8cl.xhtml#a334426d638df3b4108c366e240cf5504">ADD_OP</a>(<a class="code" href="normalization__layer_8cl.xhtml#ac0bf948069436897cf005ea45ac73a4f">MUL_OP</a>(acc, coeff_v), kappa_v);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</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>, VEC_SIZE)</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; normalized = <a class="code" href="normalization__layer_8cl.xhtml#a09724da1a9e5ba54260905829ec27db4">POW_OP</a>(acc, beta_v);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</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>, VEC_SIZE)</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; normalized_pixel = <a class="code" href="normalization__layer_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f">DIV_OP</a>(<a class="code" href="normalization__layer_8cl.xhtml#a10a9bf1a9fce27664d5f91844ff3f691">LOAD_OP</a>(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)in.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>), normalized);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <a class="code" href="normalization__layer_8cl.xhtml#ac59caf44b60378c02032aab994ad5ac1">STORE_OP</a>(normalized_pixel, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;}</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(NUM_SLICES) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;<span class="preprocessor">#if defined(WIDTH_SIZE)</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160;__kernel <span class="keywordtype">void</span> normalization_layer_in_map_nchw(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(input),</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(output))</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;{</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> in = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> out = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(output);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160;</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>, VEC_SIZE)</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; acc = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))0;</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</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>, VEC_SIZE)</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; coeff_v = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))<a class="code" href="normalization__layer_8cl.xhtml#a107d847044e677b01e9bd3d5251b39d9">SQCVT_SAT</a>(COEFF);</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</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>, VEC_SIZE)</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; beta_v = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))<a class="code" href="normalization__layer_8cl.xhtml#a107d847044e677b01e9bd3d5251b39d9">SQCVT_SAT</a>(BETA);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</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>, VEC_SIZE)</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; kappa_v = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))<a class="code" href="normalization__layer_8cl.xhtml#a107d847044e677b01e9bd3d5251b39d9">SQCVT_SAT</a>(KAPPA);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> current_col = get_global_id(0) &lt;&lt; 2;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> left_pos = max(-(<span class="keywordtype">int</span>)RADIUS, -3 - current_col);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> right_pos = min((<span class="keywordtype">int</span>)RADIUS, (<span class="keywordtype">int</span>)WIDTH_SIZE - 1 - current_col);</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(IN_MAP_2D)</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> current_row = get_global_id(1);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> first_row = max(-(<span class="keywordtype">int</span>)RADIUS, -current_row);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> last_row = min((<span class="keywordtype">int</span>)RADIUS, (<span class="keywordtype">int</span>)get_global_size(1) - 1 - current_row);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(IN_MAP_2D) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;<span class="preprocessor">#if defined(IN_MAP_2D)</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> j = first_row; j &lt;= last_row; ++j)</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">#endif </span><span class="comment">/* defined(IN_MAP_2D) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = left_pos; i &lt;= right_pos; ++i)</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; {</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;<span class="preprocessor">#if defined(IN_MAP_2D)</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</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>, VEC_SIZE)</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; values = <a class="code" href="normalization__layer_8cl.xhtml#a10a9bf1a9fce27664d5f91844ff3f691">LOAD_OP</a>(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;in, i, j, 0));</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* defined(IN_MAP_2D) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</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>, VEC_SIZE)</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; values = <a class="code" href="normalization__layer_8cl.xhtml#a10a9bf1a9fce27664d5f91844ff3f691">LOAD_OP</a>(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;in, i, 0, 0));</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(IN_MAP_2D) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; acc = <a class="code" href="normalization__layer_8cl.xhtml#a334426d638df3b4108c366e240cf5504">ADD_OP</a>(acc, <a class="code" href="normalization__layer_8cl.xhtml#ac0bf948069436897cf005ea45ac73a4f">MUL_OP</a>(values, values));</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; }</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160;<span class="preprocessor">#if defined(IN_MAP_2D)</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; }</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(IN_MAP_2D) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; acc = <a class="code" href="normalization__layer_8cl.xhtml#a334426d638df3b4108c366e240cf5504">ADD_OP</a>(<a class="code" href="normalization__layer_8cl.xhtml#ac0bf948069436897cf005ea45ac73a4f">MUL_OP</a>(acc, coeff_v), kappa_v);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</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>, VEC_SIZE)</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; normalized = <a class="code" href="normalization__layer_8cl.xhtml#a09724da1a9e5ba54260905829ec27db4">POW_OP</a>(acc, beta_v);</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</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>, VEC_SIZE)</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; normalized_pixel = <a class="code" href="normalization__layer_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f">DIV_OP</a>(<a class="code" href="normalization__layer_8cl.xhtml#a10a9bf1a9fce27664d5f91844ff3f691">LOAD_OP</a>(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)in.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>), normalized);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160;</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; <a class="code" href="normalization__layer_8cl.xhtml#ac59caf44b60378c02032aab994ad5ac1">STORE_OP</a>(normalized_pixel, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</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">#endif // defined(WIDTH_SIZE)</span></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160;<span class="preprocessor">#if defined(NUM_SLICES)</span></div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160;__kernel <span class="keywordtype">void</span> normalization_layer_in_map_nhwc(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(input),</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(output))</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160;{</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> in = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> out = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(output);</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</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>, VEC_SIZE)</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; acc = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))0;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</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>, VEC_SIZE)</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; coeff_v = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))<a class="code" href="normalization__layer_8cl.xhtml#a107d847044e677b01e9bd3d5251b39d9">SQCVT_SAT</a>(COEFF);</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</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>, VEC_SIZE)</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; beta_v = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))<a class="code" href="normalization__layer_8cl.xhtml#a107d847044e677b01e9bd3d5251b39d9">SQCVT_SAT</a>(BETA);</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</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>, VEC_SIZE)</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; kappa_v = (<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, VEC_SIZE))<a class="code" href="normalization__layer_8cl.xhtml#a107d847044e677b01e9bd3d5251b39d9">SQCVT_SAT</a>(KAPPA);</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160;</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> current_cols = get_global_id(1);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> first_col = max(-(<span class="keywordtype">int</span>)RADIUS, -current_cols);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> last_col = min((<span class="keywordtype">int</span>)RADIUS, (<span class="keywordtype">int</span>)get_global_size(1) - 1 - current_cols);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160;</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160;<span class="preprocessor">#if defined(IN_MAP_2D)</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> current_rows = get_global_id(2);</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> first_row = max(-(<span class="keywordtype">int</span>)RADIUS, -current_rows);</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> last_row = min((<span class="keywordtype">int</span>)RADIUS, (<span class="keywordtype">int</span>)NUM_SLICES - 1 - current_rows);</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(IN_MAP_2D) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160;<span class="preprocessor">#if defined(IN_MAP_2D)</span></div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> j = first_row; j &lt;= last_row; ++j)</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; {</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(IN_MAP_2D) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = first_col; i &lt;= last_col; ++i)</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; {</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;<span class="preprocessor">#if defined(IN_MAP_2D)</span></div><div class="line"><a name="l00234"></a><span class="lineno"> 234</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>, VEC_SIZE)</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; values = <a class="code" href="normalization__layer_8cl.xhtml#a10a9bf1a9fce27664d5f91844ff3f691">LOAD_OP</a>(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;in, 0, i, j));</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* defined(IN_MAP_2D) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</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>, VEC_SIZE)</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; values = <a class="code" href="normalization__layer_8cl.xhtml#a10a9bf1a9fce27664d5f91844ff3f691">LOAD_OP</a>(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;in, 0, i, 0));</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(IN_MAP_2D) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; acc = <a class="code" href="normalization__layer_8cl.xhtml#a334426d638df3b4108c366e240cf5504">ADD_OP</a>(acc, <a class="code" href="normalization__layer_8cl.xhtml#ac0bf948069436897cf005ea45ac73a4f">MUL_OP</a>(values, values));</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; }</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160;<span class="preprocessor">#if defined(IN_MAP_2D)</span></div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; }</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(IN_MAP_2D) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; acc = <a class="code" href="normalization__layer_8cl.xhtml#a334426d638df3b4108c366e240cf5504">ADD_OP</a>(<a class="code" href="normalization__layer_8cl.xhtml#ac0bf948069436897cf005ea45ac73a4f">MUL_OP</a>(acc, coeff_v), kappa_v);</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</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>, VEC_SIZE)</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; normalized = <a class="code" href="normalization__layer_8cl.xhtml#a09724da1a9e5ba54260905829ec27db4">POW_OP</a>(acc, beta_v);</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</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>, VEC_SIZE)</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; normalized_pixel = <a class="code" href="normalization__layer_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f">DIV_OP</a>(<a class="code" href="normalization__layer_8cl.xhtml#a10a9bf1a9fce27664d5f91844ff3f691">LOAD_OP</a>(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)in.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>), normalized);</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160;</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; <a class="code" href="normalization__layer_8cl.xhtml#ac59caf44b60378c02032aab994ad5ac1">STORE_OP</a>(normalized_pixel, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160;}</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(NUM_SLICES) */</span><span class="preprocessor"></span></div><div class="ttc" id="normalization__layer_8cl_xhtml_ac0bf948069436897cf005ea45ac73a4f"><div class="ttname"><a href="normalization__layer_8cl.xhtml#ac0bf948069436897cf005ea45ac73a4f">MUL_OP</a></div><div class="ttdeci">#define MUL_OP(x, y)</div><div class="ttdef"><b>Definition:</b> <a href="normalization__layer_8cl_source.xhtml#l00026">normalization_layer.cl:26</a></div></div>
<div class="ttc" id="normalization__layer_8cl_xhtml_a10a9bf1a9fce27664d5f91844ff3f691"><div class="ttname"><a href="normalization__layer_8cl.xhtml#a10a9bf1a9fce27664d5f91844ff3f691">LOAD_OP</a></div><div class="ttdeci">#define LOAD_OP(offset, ptr)</div><div class="ttdef"><b>Definition:</b> <a href="normalization__layer_8cl_source.xhtml#l00032">normalization_layer.cl:32</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="normalization__layer_8cl_xhtml_a107d847044e677b01e9bd3d5251b39d9"><div class="ttname"><a href="normalization__layer_8cl.xhtml#a107d847044e677b01e9bd3d5251b39d9">SQCVT_SAT</a></div><div class="ttdeci">#define SQCVT_SAT(a)</div><div class="ttdef"><b>Definition:</b> <a href="normalization__layer_8cl_source.xhtml#l00030">normalization_layer.cl:30</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml"><div class="ttname"><a href="struct_tensor3_d.xhtml">Tensor3D</a></div><div class="ttdoc">Structure to hold 3D tensor information.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00176">helpers.h:176</a></div></div>
<div class="ttc" id="normalization__layer_8cl_xhtml_ac59caf44b60378c02032aab994ad5ac1"><div class="ttname"><a href="normalization__layer_8cl.xhtml#ac59caf44b60378c02032aab994ad5ac1">STORE_OP</a></div><div class="ttdeci">#define STORE_OP(data, offset, ptr)</div><div class="ttdef"><b>Definition:</b> <a href="normalization__layer_8cl_source.xhtml#l00033">normalization_layer.cl:33</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00144">helpers.h:144</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml"><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="normalization__layer_8cl_xhtml_a334426d638df3b4108c366e240cf5504"><div class="ttname"><a href="normalization__layer_8cl.xhtml#a334426d638df3b4108c366e240cf5504">ADD_OP</a></div><div class="ttdeci">#define ADD_OP(x, y)</div><div class="ttdef"><b>Definition:</b> <a href="normalization__layer_8cl_source.xhtml#l00027">normalization_layer.cl:27</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">Tensor3D::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">helpers.h:178</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a6b83038822d1ae7ab619b684ed3b7fc0"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a></div><div class="ttdeci">#define TENSOR3D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00101">helpers.h:101</a></div></div>
<div class="ttc" id="normalization__layer_8cl_xhtml_a5db17889d824975fefb2ce2f4690637f"><div class="ttname"><a href="normalization__layer_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f">DIV_OP</a></div><div class="ttdeci">#define DIV_OP(x, y)</div><div class="ttdef"><b>Definition:</b> <a href="normalization__layer_8cl_source.xhtml#l00028">normalization_layer.cl:28</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
<div class="ttc" id="normalization__layer_8cl_xhtml_a09724da1a9e5ba54260905829ec27db4"><div class="ttname"><a href="normalization__layer_8cl.xhtml#a09724da1a9e5ba54260905829ec27db4">POW_OP</a></div><div class="ttdeci">#define POW_OP(x, y)</div><div class="ttdef"><b>Definition:</b> <a href="normalization__layer_8cl_source.xhtml#l00029">normalization_layer.cl:29</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a36f754c05b6fddf6df0d8d0a74f8159f"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a></div><div class="ttdeci">#define VEC_DATA_TYPE(type, size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00073">helpers.h:73</a></div></div>
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