blob: 4003ecc1ee40fa209ae25caeb747c446ffa82833 [file] [log] [blame]
<!-- HTML header for doxygen 1.8.15-->
<!-- Remember to use version doxygen 1.8.15 +-->
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=9"/>
<meta name="generator" content="Doxygen 1.8.15"/>
<meta name="robots" content="NOINDEX, NOFOLLOW" /> <!-- Prevent indexing by search engines -->
<title>Compute Library: src/core/CL/cl_kernels/space_to_batch.cl Source File</title>
<link href="tabs.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="jquery.js"></script>
<script type="text/javascript" src="dynsections.js"></script>
<link href="navtree.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="resize.js"></script>
<script type="text/javascript" src="navtreedata.js"></script>
<script type="text/javascript" src="navtree.js"></script>
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
$(document).ready(initResizable);
/* @license-end */</script>
<link href="search/search.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="search/searchdata.js"></script>
<script type="text/javascript" src="search/search.js"></script>
<script type="text/x-mathjax-config">
MathJax.Hub.Config({
extensions: ["tex2jax.js"],
jax: ["input/TeX","output/HTML-CSS"],
});
</script><script type="text/javascript" async="async" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
<link href="stylesheet.css" rel="stylesheet" type="text/css"/>
</head>
<body>
<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
<div id="titlearea">
<table cellspacing="0" cellpadding="0">
<tbody>
<tr style="height: 56px;">
<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">
&#160;<span id="projectnumber">19.08</span>
</div>
</td>
</tr>
</tbody>
</table>
</div>
<!-- end header part -->
<!-- Generated by Doxygen 1.8.15 -->
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
var searchBox = new SearchBox("searchBox", "search",false,'Search');
/* @license-end */
</script>
<script type="text/javascript" src="menudata.js"></script>
<script type="text/javascript" src="menu.js"></script>
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
$(function() {
initMenu('',true,false,'search.php','Search');
$(document).ready(function() { init_search(); });
});
/* @license-end */</script>
<div id="main-nav"></div>
</div><!-- top -->
<div id="side-nav" class="ui-resizable side-nav-resizable">
<div id="nav-tree">
<div id="nav-tree-contents">
<div id="nav-sync" class="sync"></div>
</div>
</div>
<div id="splitbar" style="-moz-user-select:none;"
class="ui-resizable-handle">
</div>
</div>
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
$(document).ready(function(){initNavTree('space__to__batch_8cl_source.xhtml','');});
/* @license-end */
</script>
<div id="doc-content">
<!-- window showing the filter options -->
<div id="MSearchSelectWindow"
onmouseover="return searchBox.OnSearchSelectShow()"
onmouseout="return searchBox.OnSearchSelectHide()"
onkeydown="return searchBox.OnSearchSelectKey(event)">
</div>
<!-- iframe showing the search results (closed by default) -->
<div id="MSearchResultsWindow">
<iframe src="javascript:void(0)" frameborder="0"
name="MSearchResults" id="MSearchResults">
</iframe>
</div>
<div class="header">
<div class="headertitle">
<div class="title">space_to_batch.cl</div> </div>
</div><!--header-->
<div class="contents">
<a href="space__to__batch_8cl.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2018 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 withoutput restriction, including withoutput 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 KOUTD, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="comment"> * IMPLIED, OUTCLUDOUTG 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 NONOUTFROUTGEMENT. OUT 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 OUT AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISOUTG FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment"> * OUT OF OR OUT CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALOUTGS OUT 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"> 26</span>&#160;<span class="preprocessor">#if defined(BATCH_SIZE) &amp;&amp; defined(DATA_TYPE) &amp;&amp; defined(WIDTH_IN) &amp;&amp; defined(HEIGHT_IN)</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;__kernel <span class="keywordtype">void</span> space_to_batch_nchw(</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(input),</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(paddings),</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(block_shape),</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> batch_id,</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#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(output))</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;{</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <a class="code" href="struct_tensor4_d.xhtml">Tensor4D</a> in = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a302e05cc5f90bd76a9d0812c4be8b5eb">CONVERT_TO_TENSOR4D_STRUCT_NO_STEP</a>(input, 0);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> pad = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a4334a4a76f8e9628c0fb9e1acf616e2a">CONVERT_TO_IMAGE_STRUCT_NO_STEP</a>(paddings);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <a class="code" href="struct_vector.xhtml">Vector</a> block = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(block_shape);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</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="l00073"></a><span class="lineno"> 73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> pad_left_x = *((__global <span class="keywordtype">int</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;pad, 0, 0));</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> pad_right_x = *((__global <span class="keywordtype">int</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;pad, 1, 0));</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> pad_left_y = *((__global <span class="keywordtype">int</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;pad, 0, 1));</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> pad_right_y = *((__global <span class="keywordtype">int</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;pad, 1, 1));</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keywordtype">int</span> block_x = *((__global <span class="keywordtype">int</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&amp;block, 0));</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="keywordtype">int</span> block_y = *((__global <span class="keywordtype">int</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&amp;block, 1));</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; <span class="keyword">const</span> <span class="keywordtype">int</span> out_x = get_global_id(0);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> out_y = get_global_id(1);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> z = get_global_id(2);</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; <span class="keyword">const</span> <span class="keywordtype">int</span> pos_x = out_x * block_x + ((batch_id / BATCH_IN) % block_x);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> pos_y = out_y * block_y + ((batch_id / BATCH_IN) / block_x);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keywordflow">if</span>(((pos_y &gt;= pad_left_y) &amp;&amp; (pos_y &lt; pad_left_y + HEIGHT_IN) &amp;&amp; (pos_x &gt;= pad_left_x) &amp;&amp; (pos_x &lt; pad_left_x + WIDTH_IN)))</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; {</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1a367830ae09bf6138df822888ec1d71">w</a> = batch_id % BATCH_IN;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> in_x = pos_x - pad_left_x;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> in_y = pos_y - pad_left_y;</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; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>) = *((__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#ad442fb5ec8be1fff97f543150de5d822">tensor4D_offset</a>(&amp;in, in_x, in_y, z, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1a367830ae09bf6138df822888ec1d71">w</a>));</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;}</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160;__kernel <span class="keywordtype">void</span> space_to_batch_nhwc(</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(input),</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(paddings),</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(block_shape),</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> batch_id,</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(output))</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160;{</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <a class="code" href="struct_tensor4_d.xhtml">Tensor4D</a> in = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a302e05cc5f90bd76a9d0812c4be8b5eb">CONVERT_TO_TENSOR4D_STRUCT_NO_STEP</a>(input, 0);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <a class="code" href="struct_image.xhtml">Image</a> pad = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a4334a4a76f8e9628c0fb9e1acf616e2a">CONVERT_TO_IMAGE_STRUCT_NO_STEP</a>(paddings);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <a class="code" href="struct_vector.xhtml">Vector</a> block = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(block_shape);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</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="l00144"></a><span class="lineno"> 144</span>&#160;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> pad_left_x = *((__global <span class="keywordtype">int</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;pad, 0, 0));</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> pad_right_x = *((__global <span class="keywordtype">int</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;pad, 1, 0));</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> pad_left_y = *((__global <span class="keywordtype">int</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;pad, 0, 1));</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> pad_right_y = *((__global <span class="keywordtype">int</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&amp;pad, 1, 1));</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="keywordtype">int</span> block_x = *((__global <span class="keywordtype">int</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&amp;block, 0));</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <span class="keywordtype">int</span> block_y = *((__global <span class="keywordtype">int</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&amp;block, 1));</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="keyword">const</span> <span class="keywordtype">int</span> out_x = get_global_id(1);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> out_y = get_global_id(2);</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> z = get_global_id(0);</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> pos_x = out_x * block_x + ((batch_id / BATCH_IN) % block_x);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> pos_y = out_y * block_y + ((batch_id / BATCH_IN) / block_x);</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; <span class="keywordflow">if</span>(((pos_y &gt;= pad_left_y) &amp;&amp; (pos_y &lt; pad_left_y + HEIGHT_IN) &amp;&amp; (pos_x &gt;= pad_left_x) &amp;&amp; (pos_x &lt; pad_left_x + WIDTH_IN)))</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="keyword">const</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1a367830ae09bf6138df822888ec1d71">w</a> = batch_id % BATCH_IN;</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> in_x = pos_x - pad_left_x;</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> in_y = pos_y - pad_left_y;</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; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>) = *((__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#ad442fb5ec8be1fff97f543150de5d822">tensor4D_offset</a>(&amp;in, z, in_x, in_y, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1a367830ae09bf6138df822888ec1d71">w</a>));</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; }</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160;}</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160;<span class="preprocessor">#endif // defined(BATCH_SIZE) &amp;&amp; defined(DATA_TYPE) &amp;&amp; defined(WIDTH_IN) &amp;&amp; defined(HEIGHT_IN)</span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160;</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160;<span class="preprocessor">#if defined(BATCH_SIZE) &amp;&amp; defined(DATA_TYPE) &amp;&amp; defined(BLOCK_SHAPE_X) &amp;&amp; defined(BLOCK_SHAPE_Y) &amp;&amp; defined(PAD_LEFT_X) &amp;&amp; defined(PAD_RIGHT_X) &amp;&amp; defined(PAD_LEFT_Y) &amp;&amp; defined(PAD_RIGHT_Y) &amp;&amp; defined(WIDTH_IN) &amp;&amp; defined(HEIGHT_IN)</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160;__kernel <span class="keywordtype">void</span> space_to_batch_static_nchw(</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(input),</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> batch_id,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</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="l00205"></a><span class="lineno"> 205</span>&#160;{</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; <a class="code" href="struct_tensor4_d.xhtml">Tensor4D</a> in = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a302e05cc5f90bd76a9d0812c4be8b5eb">CONVERT_TO_TENSOR4D_STRUCT_NO_STEP</a>(input, 0);</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</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="l00208"></a><span class="lineno"> 208</span>&#160;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; <span class="keywordtype">int</span> block_x = BLOCK_SHAPE_X;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; <span class="keywordtype">int</span> block_y = BLOCK_SHAPE_Y;</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160;</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> out_x = get_global_id(0);</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> out_y = get_global_id(1);</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> z = get_global_id(2);</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160;</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> pos_x = out_x * block_x + ((batch_id / BATCH_IN) % block_x);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> pos_y = out_y * block_y + ((batch_id / BATCH_IN) / block_x);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; <span class="keywordflow">if</span>(pos_y &gt;= PAD_LEFT_Y &amp;&amp; pos_y &lt; PAD_LEFT_Y + HEIGHT_IN &amp;&amp; pos_x &gt;= PAD_LEFT_X &amp;&amp; pos_x &lt; PAD_LEFT_X + WIDTH_IN)</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="keyword">const</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1a367830ae09bf6138df822888ec1d71">w</a> = batch_id % BATCH_IN;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> in_x = pos_x - PAD_LEFT_X;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> in_y = pos_y - PAD_LEFT_Y;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>) = *((__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#ad442fb5ec8be1fff97f543150de5d822">tensor4D_offset</a>(&amp;in, in_x, in_y, z, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1a367830ae09bf6138df822888ec1d71">w</a>));</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;}</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160;__kernel <span class="keywordtype">void</span> space_to_batch_static_nhwc(</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(input),</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> batch_id,</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</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="l00261"></a><span class="lineno"> 261</span>&#160;{</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; <a class="code" href="struct_tensor4_d.xhtml">Tensor4D</a> in = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a302e05cc5f90bd76a9d0812c4be8b5eb">CONVERT_TO_TENSOR4D_STRUCT_NO_STEP</a>(input, 0);</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</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="l00264"></a><span class="lineno"> 264</span>&#160;</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; <span class="keywordtype">int</span> block_x = BLOCK_SHAPE_X;</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; <span class="keywordtype">int</span> block_y = BLOCK_SHAPE_Y;</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160;</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> out_x = get_global_id(1);</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> out_y = get_global_id(2);</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> z = get_global_id(0);</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160;</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> pos_x = out_x * block_x + ((batch_id / BATCH_IN) % block_x);</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> pos_y = out_y * block_y + ((batch_id / BATCH_IN) / block_x);</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160;</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; <span class="keywordflow">if</span>(pos_y &gt;= PAD_LEFT_Y &amp;&amp; pos_y &lt; PAD_LEFT_Y + HEIGHT_IN &amp;&amp; pos_x &gt;= PAD_LEFT_X &amp;&amp; pos_x &lt; PAD_LEFT_X + WIDTH_IN)</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; {</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1a367830ae09bf6138df822888ec1d71">w</a> = batch_id % BATCH_IN;</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> in_x = pos_x - PAD_LEFT_X;</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> in_y = pos_y - PAD_LEFT_Y;</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160;</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>) = *((__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#ad442fb5ec8be1fff97f543150de5d822">tensor4D_offset</a>(&amp;in, z, in_x, in_y, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1a367830ae09bf6138df822888ec1d71">w</a>));</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; }</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160;}</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160;<span class="preprocessor">#endif // defined(BATCH_SIZE) &amp;&amp; defined(DATA_TYPE) &amp;&amp; defined(BLOCK_SHAPE_X) &amp;&amp; defined(BLOCK_SHAPE_Y) &amp;&amp; defined(PAD_LEFT_X) &amp;&amp; defined(PAD_RIGHT_X) &amp;&amp; defined(PAD_LEFT_Y) &amp;&amp; defined(PAD_RIGHT_Y) &amp;&amp; defined(WIDTH_IN) &amp;&amp; defined(HEIGHT_IN)</span></div><div class="ttc" id="struct_vector_xhtml"><div class="ttname"><a href="struct_vector.xhtml">Vector</a></div><div class="ttdoc">Structure to hold Vector information.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00159">helpers.h:159</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00328">helpers.h:328</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a1a367830ae09bf6138df822888ec1d71"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a1a367830ae09bf6138df822888ec1d71">arm_compute::test::validation::w</a></div><div class="ttdeci">SimpleTensor&lt; float &gt; w</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_d_f_t_8cpp_source.xhtml#l00156">DFT.cpp:156</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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a22f42fcf2077d951271df83b55c1a71a"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a></div><div class="ttdeci">#define IMAGE_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00093">helpers.h:93</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml"><div class="ttname"><a href="struct_tensor3_d.xhtml">Tensor3D</a></div><div class="ttdoc">Structure to hold 3D tensor information.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00176">helpers.h:176</a></div></div>
<div class="ttc" id="struct_tensor4_d_xhtml"><div class="ttname"><a href="struct_tensor4_d.xhtml">Tensor4D</a></div><div class="ttdoc">Structure to hold 4D tensor information.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00186">helpers.h:186</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a302e05cc5f90bd76a9d0812c4be8b5eb"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a302e05cc5f90bd76a9d0812c4be8b5eb">CONVERT_TO_TENSOR4D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(name, mod_size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00155">helpers.h:155</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a4334a4a76f8e9628c0fb9e1acf616e2a"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a4334a4a76f8e9628c0fb9e1acf616e2a">CONVERT_TO_IMAGE_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_IMAGE_STRUCT_NO_STEP(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00132">helpers.h:132</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a40a6eb9f2a7712f08d6bb8ff6c9e6ca7"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a></div><div class="ttdeci">#define VECTOR_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00087">helpers.h:87</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_ad442fb5ec8be1fff97f543150de5d822"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#ad442fb5ec8be1fff97f543150de5d822">tensor4D_offset</a></div><div class="ttdeci">__global const uchar * tensor4D_offset(const Tensor4D *tensor, int x, int y, int z, int w)</div><div class="ttdoc">Get the pointer position of a Tensor4D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00353">helpers.h:353</a></div></div>
<div class="ttc" id="struct_image_xhtml"><div class="ttname"><a href="struct_image.xhtml">Image</a></div><div class="ttdoc">Structure to hold Image information.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00167">helpers.h:167</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00144">helpers.h:144</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a7e4940407322d6f0ccb8b6b86b856019"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a></div><div class="ttdeci">__global const uchar * vector_offset(const Vector *vec, int x)</div><div class="ttdoc">Get the pointer position of a Vector.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00317">helpers.h:317</a></div></div>
<div class="ttc" id="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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a481bdc6d61b3df9dcdbdb244f0f97790"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a></div><div class="ttdeci">#define TENSOR4D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00111">helpers.h:111</a></div></div>
<div class="ttc" id="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="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a64d779f80eeb923e0ab2313433f7b40b"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_VECTOR_STRUCT_NO_STEP(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00126">helpers.h:126</a></div></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
<li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_aebb8dcc11953d78e620bbef0b9e2183.xhtml">core</a></li><li class="navelem"><a class="el" href="dir_8c278f79c760e5c5fbd911f9870614c1.xhtml">CL</a></li><li class="navelem"><a class="el" href="dir_25885286e9dad4fa105b7b25a8031bbf.xhtml">cl_kernels</a></li><li class="navelem"><a class="el" href="space__to__batch_8cl.xhtml">space_to_batch.cl</a></li>
<li class="footer">Generated on Mon Sep 2 2019 11:47:21 for Compute Library by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.15 </li>
</ul>
</div>
</body>
</html>