arm_compute v19.11
diff --git a/documentation/depth__convert_8cl_source.xhtml b/documentation/depth__convert_8cl_source.xhtml
index 0d0ff08..91ea32b 100644
--- a/documentation/depth__convert_8cl_source.xhtml
+++ b/documentation/depth__convert_8cl_source.xhtml
@@ -40,7 +40,7 @@
<img alt="Compute Library" src="https://raw.githubusercontent.com/ARM-software/ComputeLibrary/gh-pages/ACL_logo.png" style="max-width: 100%;margin-top: 15px;margin-left: 10px"/>
<td style="padding-left: 0.5em;">
<div id="projectname">
-  <span id="projectnumber">19.08</span>
+  <span id="projectnumber">19.11</span>
</div>
</td>
</tr>
@@ -100,27 +100,28 @@
<div class="title">depth_convert.cl</div> </div>
</div><!--header-->
<div class="contents">
-<a href="depth__convert_8cl.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2016-2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml">helpers.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#ifdef SATURATE</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#if defined(IS_DATA_TYPE_FLOAT)</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#define CONVERT_RTE(x, type) (convert_##type##_rte((x)))</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#define CONVERT_DOWN(x, type) CONVERT_RTE(x, type)</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#else </span><span class="comment">/* defined(IS_DATA_TYPE_FLOAT) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#define CONVERT_DOWN(x, type) CONVERT_SAT(x, type)</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(IS_DATA_TYPE_FLOAT) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#else </span><span class="comment">/* SATURATE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00034"></a><span class="lineno"><a class="line" href="depth__convert_8cl.xhtml#a5b0d9908c0af31eaa7a31d0b5cf8e56d"> 34</a></span> <span class="preprocessor">#define CONVERT_DOWN(x, type) CONVERT(x, type)</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#endif </span><span class="comment">/* SATURATE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="depth__convert_8cl.xhtml#a9bed30cda5ab157322d2f0bbdff46d28"> 37</a></span> <span class="preprocessor">#define CONVERT_UP(x, type) CONVERT(x, type)</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="depth__convert_8cl.xhtml#a2392d4db3931039d00f10d67cdca6d7e"> 63</a></span> __kernel <span class="keywordtype">void</span> <a class="code" href="depth__convert_8cl.xhtml#a2392d4db3931039d00f10d67cdca6d7e">convert_depth_down</a>(</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(in),</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(out),</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a979a54caef6e77ce0259e427136847e8">shift</a>)</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> {</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <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>(in);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <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>(out);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="comment">// Load data</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE_IN, VEC_SIZE)</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  in_data = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global DATA_TYPE_IN *)in.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="preprocessor">#if defined(IS_DATA_TYPE_FLOAT)</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  (<a class="code" href="depth__convert_8cl.xhtml#a5b0d9908c0af31eaa7a31d0b5cf8e56d">CONVERT_DOWN</a>(in_data, <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#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a>, VEC_SIZE)), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="preprocessor">#else </span><span class="comment">/* defined(IS_DATA_TYPE_FLOAT) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  (<a class="code" href="depth__convert_8cl.xhtml#a5b0d9908c0af31eaa7a31d0b5cf8e56d">CONVERT_DOWN</a>(in_data >> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a979a54caef6e77ce0259e427136847e8">shift</a>, <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#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a>, VEC_SIZE)), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(IS_DATA_TYPE_FLOAT) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> }</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="depth__convert_8cl.xhtml#a8816125645c7111abdebc517bb1c8ab3"> 109</a></span> __kernel <span class="keywordtype">void</span> <a class="code" href="depth__convert_8cl.xhtml#a8816125645c7111abdebc517bb1c8ab3">convert_depth_up</a>(</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(in),</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(out),</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a979a54caef6e77ce0259e427136847e8">shift</a>)</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> {</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <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>(in);</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <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>(out);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="comment">// Load data</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE_IN, VEC_SIZE)</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  in_data = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(VEC_SIZE)(0, (__global DATA_TYPE_IN *)in.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="preprocessor">#if defined(IS_DATA_TYPE_FLOAT)</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  (<a class="code" href="depth__convert_8cl.xhtml#a9bed30cda5ab157322d2f0bbdff46d28">CONVERT_UP</a>(in_data, <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#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a>, VEC_SIZE)), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="preprocessor">#else </span><span class="comment">/* defined(IS_DATA_TYPE_FLOAT) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(VEC_SIZE)</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  (<a class="code" href="depth__convert_8cl.xhtml#a9bed30cda5ab157322d2f0bbdff46d28">CONVERT_UP</a>(in_data, <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#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a>, VEC_SIZE)) << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a979a54caef6e77ce0259e427136847e8">shift</a>, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(IS_DATA_TYPE_FLOAT) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> }</div><div class="ttc" id="depth__convert_8cl_xhtml_a5b0d9908c0af31eaa7a31d0b5cf8e56d"><div class="ttname"><a href="depth__convert_8cl.xhtml#a5b0d9908c0af31eaa7a31d0b5cf8e56d">CONVERT_DOWN</a></div><div class="ttdeci">#define CONVERT_DOWN(x, type)</div><div class="ttdef"><b>Definition:</b> <a href="depth__convert_8cl_source.xhtml#l00034">depth_convert.cl:34</a></div></div>
+<a href="depth__convert_8cl.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2016-2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml">helpers.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#ifdef SATURATE</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#if defined(IS_DATA_TYPE_FLOAT)</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#define CONVERT_RTE(x, type) (convert_##type##_rte((x)))</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#define CONVERT_DOWN(x, type) CONVERT_RTE(x, type)</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#else </span><span class="comment">/* defined(IS_DATA_TYPE_FLOAT) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#define CONVERT_DOWN(x, type) CONVERT_SAT(x, type)</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(IS_DATA_TYPE_FLOAT) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#else </span><span class="comment">/* SATURATE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00034"></a><span class="lineno"><a class="line" href="depth__convert_8cl.xhtml#a5b0d9908c0af31eaa7a31d0b5cf8e56d"> 34</a></span> <span class="preprocessor">#define CONVERT_DOWN(x, type) CONVERT(x, type)</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#endif </span><span class="comment">/* SATURATE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="depth__convert_8cl.xhtml#a9bed30cda5ab157322d2f0bbdff46d28"> 37</a></span> <span class="preprocessor">#define CONVERT_UP(x, type) CONVERT(x, type)</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"></span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment">/** This function performs a down-scaling depth conversion.</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment"> *</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="comment"> * @attention For QSYMM8_PER_CHANNEL -> QASYMM8, it is user's responsibility to keep track of the quantization info.</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="comment"> *</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="comment"> * @note The input and output data_types need to be passed at compile time using -DDATA_TYPE_IN and -DDATA_TYPE_OUT:</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment"> * e.g. -DDATA_TYPE_IN=uchar -DDATA_TYPE_OUT=short</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment"> * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment"> *</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="comment"> * @param[in] in_ptr Pointer to the source image. Supported data types: U8/S8/QSYMM8_PER_CHANNEL/U16/S16/U32/S32/F16/F32</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"> * @param[in] in_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment"> * @param[in] in_step_x in_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"> * @param[in] in_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"> * @param[in] in_step_y in_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> * @param[in] in_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> * @param[in] in_step_z in_stride_z * number of elements along Z processed per workitem(in bytes)</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> * @param[in] in_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"> * @param[out] out_ptr Pointer to the destination image. Supported data types: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"> * @param[in] out_stride_x Stride of the destination image in X dimension (in bytes)</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> * @param[in] out_step_x out_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> * @param[in] out_stride_y Stride of the destination image in Y dimension (in bytes)</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"> * @param[in] out_step_y out_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"> * @param[in] out_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="comment"> * @param[in] out_step_z out_stride_z * number of elements along Z processed per workitem(in bytes)</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="comment"> * @param[in] out_offset_first_element_in_bytes The offset of the first element in the destination image</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="comment"> * @param[in] shift The integer shift amount value. Supported data types: S32</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="comment"> */</span></div><div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="depth__convert_8cl.xhtml#a2392d4db3931039d00f10d67cdca6d7e"> 65</a></span> __kernel <span class="keywordtype">void</span> <a class="code" href="depth__convert_8cl.xhtml#a2392d4db3931039d00f10d67cdca6d7e">convert_depth_down</a>(</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(in),</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(out),</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a979a54caef6e77ce0259e427136847e8">shift</a>)</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> {</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <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>(in);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <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>(out);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="comment">// Load data</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE_IN, <a class="code" href="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a>)</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  in_data = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(<a class="code" href="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a>)(0, (__global DATA_TYPE_IN *)in.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="preprocessor">#if defined(IS_DATA_TYPE_QUANTIZED)</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  in_data ^= 0x80;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="preprocessor">#endif // defined(IS_DATA_TYPE_QUANTIZED)</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="preprocessor">#if defined(IS_DATA_TYPE_FLOAT)</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(<a class="code" href="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a>)</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  (<a class="code" href="depth__convert_8cl.xhtml#a5b0d9908c0af31eaa7a31d0b5cf8e56d">CONVERT_DOWN</a>(in_data, <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#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a>, <a class="code" href="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a>)), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="preprocessor">#else </span><span class="comment">/* defined(IS_DATA_TYPE_FLOAT) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(<a class="code" href="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a>)</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  (<a class="code" href="depth__convert_8cl.xhtml#a5b0d9908c0af31eaa7a31d0b5cf8e56d">CONVERT_DOWN</a>(in_data >> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a979a54caef6e77ce0259e427136847e8">shift</a>, <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#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a>, <a class="code" href="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a>)), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(IS_DATA_TYPE_FLOAT) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> }</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="comment"></span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="comment">/** This function performs a up-scaling depth conversion.</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="comment"> *</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="comment"> * @note The input and output data_types need to be passed at compile time using -DDATA_TYPE_IN and -DDATA_TYPE_OUT:</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="comment"> * e.g. -DDATA_TYPE_IN=uchar -DDATA_TYPE_OUT=short</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="comment"> * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="comment"> *</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="comment"> * @param[in] in_ptr Pointer to the source image. Supported data types: U8/S8/U16/S16/U32/S32/F16/F32</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="comment"> * @param[in] in_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="comment"> * @param[in] in_step_x in_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment"> * @param[in] in_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="comment"> * @param[in] in_step_y in_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="comment"> * @param[in] in_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="comment"> * @param[in] in_step_z in_stride_z * number of elements along Z processed per workitem(in bytes)</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="comment"> * @param[in] in_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="comment"> * @param[out] out_ptr Pointer to the destination image. Supported data types: U8/U16/S16/U32/S32/F16/F32</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="comment"> * @param[in] out_stride_x Stride of the destination image in X dimension (in bytes)</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="comment"> * @param[in] out_step_x out_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="comment"> * @param[in] out_stride_y Stride of the destination image in Y dimension (in bytes)</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="comment"> * @param[in] out_step_y out_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="comment"> * @param[in] out_stride_z Stride of the source tensor in Z dimension (in bytes)</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="comment"> * @param[in] out_step_z out_stride_z * number of elements along Z processed per workitem(in bytes)</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="comment"> * @param[in] out_offset_first_element_in_bytes The offset of the first element in the destination image</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="comment"> * @param[in] shift The integer shift amount value. Supported data types: S32</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="comment"> */</span></div><div class="line"><a name="l00115"></a><span class="lineno"><a class="line" href="depth__convert_8cl.xhtml#a8816125645c7111abdebc517bb1c8ab3"> 115</a></span> __kernel <span class="keywordtype">void</span> <a class="code" href="depth__convert_8cl.xhtml#a8816125645c7111abdebc517bb1c8ab3">convert_depth_up</a>(</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(in),</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(out),</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a979a54caef6e77ce0259e427136847e8">shift</a>)</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> {</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <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>(in);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <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>(out);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="comment">// Load data</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE_IN, <a class="code" href="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a>)</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  in_data = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(<a class="code" href="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a>)(0, (__global DATA_TYPE_IN *)in.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="preprocessor">#if defined(IS_DATA_TYPE_FLOAT)</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(<a class="code" href="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a>)</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  (<a class="code" href="depth__convert_8cl.xhtml#a9bed30cda5ab157322d2f0bbdff46d28">CONVERT_UP</a>(in_data, <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#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a>, <a class="code" href="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a>)), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="preprocessor">#else </span><span class="comment">/* defined(IS_DATA_TYPE_FLOAT) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(<a class="code" href="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a>)</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  (<a class="code" href="depth__convert_8cl.xhtml#a9bed30cda5ab157322d2f0bbdff46d28">CONVERT_UP</a>(in_data, <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#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a>, <a class="code" href="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a>)) << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a979a54caef6e77ce0259e427136847e8">shift</a>, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(IS_DATA_TYPE_FLOAT) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> }</div><div class="ttc" id="depth__convert_8cl_xhtml_a5b0d9908c0af31eaa7a31d0b5cf8e56d"><div class="ttname"><a href="depth__convert_8cl.xhtml#a5b0d9908c0af31eaa7a31d0b5cf8e56d">CONVERT_DOWN</a></div><div class="ttdeci">#define CONVERT_DOWN(x, type)</div><div class="ttdef"><b>Definition:</b> <a href="depth__convert_8cl_source.xhtml#l00034">depth_convert.cl:34</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a979a54caef6e77ce0259e427136847e8"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a979a54caef6e77ce0259e427136847e8">arm_compute::test::validation::shift</a></div><div class="ttdeci">shift</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_depth_convert_layer_8cpp_source.xhtml#l00155">DepthConvertLayer.cpp:155</a></div></div>
-<div class="ttc" id="depth__convert_8cl_xhtml_a8816125645c7111abdebc517bb1c8ab3"><div class="ttname"><a href="depth__convert_8cl.xhtml#a8816125645c7111abdebc517bb1c8ab3">convert_depth_up</a></div><div class="ttdeci">__kernel void convert_depth_up(__global uchar *in_ptr, uint in_stride_x, uint in_step_x, uint in_stride_y, uint in_step_y, uint in_stride_z, uint in_step_z, uint in_offset_first_element_in_bytes, __global uchar *out_ptr, uint out_stride_x, uint out_step_x, uint out_stride_y, uint out_step_y, uint out_stride_z, uint out_step_z, uint out_offset_first_element_in_bytes, const int shift)</div><div class="ttdoc">This function performs a up-scaling depth conversion.</div><div class="ttdef"><b>Definition:</b> <a href="depth__convert_8cl_source.xhtml#l00109">depth_convert.cl:109</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="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="depthwise__convolution__quantized_8cl_xhtml_a3fffea119c04c7680f2e9cf3fadf63b4"><div class="ttname"><a href="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a></div><div class="ttdeci">#define VEC_SIZE</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution__quantized_8cl_source.xhtml#l00031">depthwise_convolution_quantized.cl:31</a></div></div>
+<div class="ttc" id="depth__convert_8cl_xhtml_a8816125645c7111abdebc517bb1c8ab3"><div class="ttname"><a href="depth__convert_8cl.xhtml#a8816125645c7111abdebc517bb1c8ab3">convert_depth_up</a></div><div class="ttdeci">__kernel void convert_depth_up(__global uchar *in_ptr, uint in_stride_x, uint in_step_x, uint in_stride_y, uint in_step_y, uint in_stride_z, uint in_step_z, uint in_offset_first_element_in_bytes, __global uchar *out_ptr, uint out_stride_x, uint out_step_x, uint out_stride_y, uint out_step_y, uint out_stride_z, uint out_step_z, uint out_offset_first_element_in_bytes, const int shift)</div><div class="ttdoc">This function performs a up-scaling depth conversion.</div><div class="ttdef"><b>Definition:</b> <a href="depth__convert_8cl_source.xhtml#l00115">depth_convert.cl:115</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#l00358">helpers.h:358</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#l00326">helpers.h:326</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="convolution3x3_8cl_xhtml_ac06f3e24d3fffd3c465d8b2a6e7c985e"><div class="ttname"><a href="convolution3x3_8cl.xhtml#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a></div><div class="ttdeci">#define DATA_TYPE_OUT</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00031">convolution3x3.cl:31</a></div></div>
<div class="ttc" id="depth__convert_8cl_xhtml_a9bed30cda5ab157322d2f0bbdff46d28"><div class="ttname"><a href="depth__convert_8cl.xhtml#a9bed30cda5ab157322d2f0bbdff46d28">CONVERT_UP</a></div><div class="ttdeci">#define CONVERT_UP(x, type)</div><div class="ttdef"><b>Definition:</b> <a href="depth__convert_8cl_source.xhtml#l00037">depth_convert.cl:37</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_acb282042d1edeeaa3cc979a206f78b54"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a></div><div class="ttdeci">#define VSTORE(size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00056">helpers.h:56</a></div></div>
-<div class="ttc" id="depth__convert_8cl_xhtml_a2392d4db3931039d00f10d67cdca6d7e"><div class="ttname"><a href="depth__convert_8cl.xhtml#a2392d4db3931039d00f10d67cdca6d7e">convert_depth_down</a></div><div class="ttdeci">__kernel void convert_depth_down(__global uchar *in_ptr, uint in_stride_x, uint in_step_x, uint in_stride_y, uint in_step_y, uint in_stride_z, uint in_step_z, uint in_offset_first_element_in_bytes, __global uchar *out_ptr, uint out_stride_x, uint out_step_x, uint out_stride_y, uint out_step_y, uint out_stride_z, uint out_step_z, uint out_offset_first_element_in_bytes, const int shift)</div><div class="ttdoc">This function performs a down-scaling depth conversion.</div><div class="ttdef"><b>Definition:</b> <a href="depth__convert_8cl_source.xhtml#l00063">depth_convert.cl:63</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_a287e2fc366c312b468382c95bb90f91f"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a></div><div class="ttdeci">#define VLOAD(size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00053">helpers.h:53</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a6b83038822d1ae7ab619b684ed3b7fc0"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a></div><div class="ttdeci">#define TENSOR3D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00101">helpers.h:101</a></div></div>
-<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_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>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_acb282042d1edeeaa3cc979a206f78b54"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a></div><div class="ttdeci">#define VSTORE(size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00198">helpers.h:198</a></div></div>
+<div class="ttc" id="depth__convert_8cl_xhtml_a2392d4db3931039d00f10d67cdca6d7e"><div class="ttname"><a href="depth__convert_8cl.xhtml#a2392d4db3931039d00f10d67cdca6d7e">convert_depth_down</a></div><div class="ttdeci">__kernel void convert_depth_down(__global uchar *in_ptr, uint in_stride_x, uint in_step_x, uint in_stride_y, uint in_step_y, uint in_stride_z, uint in_step_z, uint in_offset_first_element_in_bytes, __global uchar *out_ptr, uint out_stride_x, uint out_step_x, uint out_stride_y, uint out_step_y, uint out_stride_z, uint out_step_z, uint out_offset_first_element_in_bytes, const int shift)</div><div class="ttdoc">This function performs a down-scaling depth conversion.</div><div class="ttdef"><b>Definition:</b> <a href="depth__convert_8cl_source.xhtml#l00065">depth_convert.cl:65</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#l00360">helpers.h:360</a></div></div>
+<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a287e2fc366c312b468382c95bb90f91f"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a></div><div class="ttdeci">#define VLOAD(size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00195">helpers.h:195</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="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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