blob: f880ebe14679d1e60a17e286c183a35490b4f93f [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/fft.cl File Reference</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('fft_8cl.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="summary">
<a href="#define-members">Macros</a> &#124;
<a href="#func-members">Functions</a> </div>
<div class="headertitle">
<div class="title">fft.cl File Reference</div> </div>
</div><!--header-->
<div class="contents">
<div class="textblock"><code>#include &quot;<a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml">helpers.h</a>&quot;</code><br />
</div>
<p><a href="fft_8cl_source.xhtml">Go to the source code of this file.</a></p>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="define-members"></a>
Macros</h2></td></tr>
<tr class="memitem:ad4dcc4a8b94f263cd19c59fdc2cec3d2"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(phi, input)</td></tr>
<tr class="memdesc:ad4dcc4a8b94f263cd19c59fdc2cec3d2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Calculates and applies the twiddle factor to a given input. <a href="#ad4dcc4a8b94f263cd19c59fdc2cec3d2">More...</a><br /></td></tr>
<tr class="separator:ad4dcc4a8b94f263cd19c59fdc2cec3d2"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a5a63ca1d5404d67d13382a90cfc9b6c3"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a5a63ca1d5404d67d13382a90cfc9b6c3">DFT_2</a>(c0, c1)</td></tr>
<tr class="memdesc:a5a63ca1d5404d67d13382a90cfc9b6c3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes radix-2 butterfly unit. <a href="#a5a63ca1d5404d67d13382a90cfc9b6c3">More...</a><br /></td></tr>
<tr class="separator:a5a63ca1d5404d67d13382a90cfc9b6c3"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:adec4b7ab0397cf3774d5971cc1296d9f"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#adec4b7ab0397cf3774d5971cc1296d9f">SQRT3DIV2</a>&#160;&#160;&#160;0.86602540378443f</td></tr>
<tr class="separator:adec4b7ab0397cf3774d5971cc1296d9f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac6ec77d2e41d56919c14c1483eee94ac"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#ac6ec77d2e41d56919c14c1483eee94ac">DFT_3</a>(c0, c1, c2)</td></tr>
<tr class="memdesc:ac6ec77d2e41d56919c14c1483eee94ac"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes radix-3 butterfly unit. <a href="#ac6ec77d2e41d56919c14c1483eee94ac">More...</a><br /></td></tr>
<tr class="separator:ac6ec77d2e41d56919c14c1483eee94ac"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af97e6d43f8b70bcf009d521f8909db25"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#af97e6d43f8b70bcf009d521f8909db25">DFT_4</a>(c0, c1, c2, c3)</td></tr>
<tr class="memdesc:af97e6d43f8b70bcf009d521f8909db25"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes radix-4 butterfly unit. <a href="#af97e6d43f8b70bcf009d521f8909db25">More...</a><br /></td></tr>
<tr class="separator:af97e6d43f8b70bcf009d521f8909db25"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3ddea99343f4804c61e3d3376d3bedc1"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a3ddea99343f4804c61e3d3376d3bedc1">W5_A</a>&#160;&#160;&#160;0.30901699437494f</td></tr>
<tr class="separator:a3ddea99343f4804c61e3d3376d3bedc1"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aeb3e0b1f96e2ecec9df46338c274ab9f"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#aeb3e0b1f96e2ecec9df46338c274ab9f">W5_B</a>&#160;&#160;&#160;0.95105651629515f</td></tr>
<tr class="separator:aeb3e0b1f96e2ecec9df46338c274ab9f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:add4ae9e98c446aeb95bb6bf312996eb0"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#add4ae9e98c446aeb95bb6bf312996eb0">W5_C</a>&#160;&#160;&#160;0.80901699437494f</td></tr>
<tr class="separator:add4ae9e98c446aeb95bb6bf312996eb0"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a55263f2a15f045ec5f4673b5bdda9bc4"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a55263f2a15f045ec5f4673b5bdda9bc4">W5_D</a>&#160;&#160;&#160;0.58778525229247f</td></tr>
<tr class="separator:a55263f2a15f045ec5f4673b5bdda9bc4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a565f17c6fe3e9462057bb523e0127280"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a565f17c6fe3e9462057bb523e0127280">DFT_5</a>(c0, c1, c2, c3, c4)</td></tr>
<tr class="memdesc:a565f17c6fe3e9462057bb523e0127280"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes radix-5 butterfly unit. <a href="#a565f17c6fe3e9462057bb523e0127280">More...</a><br /></td></tr>
<tr class="separator:a565f17c6fe3e9462057bb523e0127280"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac2612396f1dc9f3037fa59f6efd4e759"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#ac2612396f1dc9f3037fa59f6efd4e759">W7_A</a>&#160;&#160;&#160;0.62348980185873f</td></tr>
<tr class="separator:ac2612396f1dc9f3037fa59f6efd4e759"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab07d9041b925e9a79b953d01d170145d"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#ab07d9041b925e9a79b953d01d170145d">W7_B</a>&#160;&#160;&#160;0.78183148246802f</td></tr>
<tr class="separator:ab07d9041b925e9a79b953d01d170145d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a014e0a1952e8b2a95b66f244958adc86"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a014e0a1952e8b2a95b66f244958adc86">W7_C</a>&#160;&#160;&#160;0.22252093395631f</td></tr>
<tr class="separator:a014e0a1952e8b2a95b66f244958adc86"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2e8bd73ebc6280cb023a90bff4b4e595"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a2e8bd73ebc6280cb023a90bff4b4e595">W7_D</a>&#160;&#160;&#160;0.97492791218182f</td></tr>
<tr class="separator:a2e8bd73ebc6280cb023a90bff4b4e595"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad6991beebc37eaa9fec68f1a7ccf019f"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#ad6991beebc37eaa9fec68f1a7ccf019f">W7_E</a>&#160;&#160;&#160;0.90096886790241f</td></tr>
<tr class="separator:ad6991beebc37eaa9fec68f1a7ccf019f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2c2804f21de28bb28c360d8d5b8ab98b"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a2c2804f21de28bb28c360d8d5b8ab98b">W7_F</a>&#160;&#160;&#160;0.43388373911755f</td></tr>
<tr class="separator:a2c2804f21de28bb28c360d8d5b8ab98b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad04a4028658f997aaca067742c2e8a49"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#ad04a4028658f997aaca067742c2e8a49">DFT_7</a>(c0, c1, c2, c3, c4, c5, c6)</td></tr>
<tr class="memdesc:ad04a4028658f997aaca067742c2e8a49"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes radix-7 butterfly unit. <a href="#ad04a4028658f997aaca067742c2e8a49">More...</a><br /></td></tr>
<tr class="separator:ad04a4028658f997aaca067742c2e8a49"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4c4ce3f10939dd4237d0adee00086a53"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a4c4ce3f10939dd4237d0adee00086a53">DFT_8</a>(c0, c1, c2, c3, c4, c5, c6, c7)</td></tr>
<tr class="memdesc:a4c4ce3f10939dd4237d0adee00086a53"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes radix-8 butterfly unit. <a href="#a4c4ce3f10939dd4237d0adee00086a53">More...</a><br /></td></tr>
<tr class="separator:a4c4ce3f10939dd4237d0adee00086a53"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
Functions</h2></td></tr>
<tr class="memitem:aea16049f33aa1fa59ca48e7092238bf0"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#aea16049f33aa1fa59ca48e7092238bf0">fft_radix_2_first_stage_axis_0</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes)</td></tr>
<tr class="memdesc:aea16049f33aa1fa59ca48e7092238bf0"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes the first stage of a radix-2 DFT on axis 0. <a href="#aea16049f33aa1fa59ca48e7092238bf0">More...</a><br /></td></tr>
<tr class="separator:aea16049f33aa1fa59ca48e7092238bf0"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae919967e7eb2349552a120bd0ab40eb2"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#ae919967e7eb2349552a120bd0ab40eb2">fft_radix_2_first_stage_axis_1</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes)</td></tr>
<tr class="memdesc:ae919967e7eb2349552a120bd0ab40eb2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes the first stage of a radix-2 DFT on axis 1. <a href="#ae919967e7eb2349552a120bd0ab40eb2">More...</a><br /></td></tr>
<tr class="separator:ae919967e7eb2349552a120bd0ab40eb2"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3a40d552a9d4c240e46db020bd606a2b"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a3a40d552a9d4c240e46db020bd606a2b">fft_radix_3_first_stage_axis_0</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes)</td></tr>
<tr class="memdesc:a3a40d552a9d4c240e46db020bd606a2b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes the first stage of a radix-3 DFT on axis 0. <a href="#a3a40d552a9d4c240e46db020bd606a2b">More...</a><br /></td></tr>
<tr class="separator:a3a40d552a9d4c240e46db020bd606a2b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a45a776393b0fabafec290645e3d67010"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a45a776393b0fabafec290645e3d67010">fft_radix_3_first_stage_axis_1</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes)</td></tr>
<tr class="memdesc:a45a776393b0fabafec290645e3d67010"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes the first stage of a radix-3 DFT on axis 1. <a href="#a45a776393b0fabafec290645e3d67010">More...</a><br /></td></tr>
<tr class="separator:a45a776393b0fabafec290645e3d67010"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a67f435359dc175539c7d04d27c4bebb4"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a67f435359dc175539c7d04d27c4bebb4">fft_radix_4_first_stage_axis_0</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes)</td></tr>
<tr class="memdesc:a67f435359dc175539c7d04d27c4bebb4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes the first stage of a radix-4 DFT on axis 0. <a href="#a67f435359dc175539c7d04d27c4bebb4">More...</a><br /></td></tr>
<tr class="separator:a67f435359dc175539c7d04d27c4bebb4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa9b7071c5ccacded46ca51f250807be5"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#aa9b7071c5ccacded46ca51f250807be5">fft_radix_4_first_stage_axis_1</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes)</td></tr>
<tr class="memdesc:aa9b7071c5ccacded46ca51f250807be5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes the first stage of a radix-4 DFT on axis 1. <a href="#aa9b7071c5ccacded46ca51f250807be5">More...</a><br /></td></tr>
<tr class="separator:aa9b7071c5ccacded46ca51f250807be5"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a11794801d4e717905406446d14cd313b"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a11794801d4e717905406446d14cd313b">fft_radix_5_first_stage_axis_0</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes)</td></tr>
<tr class="memdesc:a11794801d4e717905406446d14cd313b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes the first stage of a radix-5 DFT on axis 0. <a href="#a11794801d4e717905406446d14cd313b">More...</a><br /></td></tr>
<tr class="separator:a11794801d4e717905406446d14cd313b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6f8673fc7472554bb672ef796f6b91b7"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a6f8673fc7472554bb672ef796f6b91b7">fft_radix_5_first_stage_axis_1</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes)</td></tr>
<tr class="memdesc:a6f8673fc7472554bb672ef796f6b91b7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes the first stage of a radix-5 DFT on axis 1. <a href="#a6f8673fc7472554bb672ef796f6b91b7">More...</a><br /></td></tr>
<tr class="separator:a6f8673fc7472554bb672ef796f6b91b7"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aba8f7b960aa49b876ac266447a78c416"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#aba8f7b960aa49b876ac266447a78c416">fft_radix_7_first_stage_axis_0</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes)</td></tr>
<tr class="memdesc:aba8f7b960aa49b876ac266447a78c416"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes the first stage of a radix-7 DFT on axis 0. <a href="#aba8f7b960aa49b876ac266447a78c416">More...</a><br /></td></tr>
<tr class="separator:aba8f7b960aa49b876ac266447a78c416"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3f65de85962b99e35c4bd9abcbc7e660"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a3f65de85962b99e35c4bd9abcbc7e660">fft_radix_7_first_stage_axis_1</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes)</td></tr>
<tr class="memdesc:a3f65de85962b99e35c4bd9abcbc7e660"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes the first stage of a radix-7 DFT on axis 1. <a href="#a3f65de85962b99e35c4bd9abcbc7e660">More...</a><br /></td></tr>
<tr class="separator:a3f65de85962b99e35c4bd9abcbc7e660"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a008d11872b90493790f933f82c9f05b5"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a008d11872b90493790f933f82c9f05b5">fft_radix_8_first_stage_axis_0</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes)</td></tr>
<tr class="memdesc:a008d11872b90493790f933f82c9f05b5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes the first stage of a radix-8 DFT on axis 0. <a href="#a008d11872b90493790f933f82c9f05b5">More...</a><br /></td></tr>
<tr class="separator:a008d11872b90493790f933f82c9f05b5"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a76f788853ef70fc0220ae4bb55db6d11"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a76f788853ef70fc0220ae4bb55db6d11">fft_radix_8_first_stage_axis_1</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes)</td></tr>
<tr class="memdesc:a76f788853ef70fc0220ae4bb55db6d11"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes the first stage of a radix-8 DFT on axis 1. <a href="#a76f788853ef70fc0220ae4bb55db6d11">More...</a><br /></td></tr>
<tr class="separator:a76f788853ef70fc0220ae4bb55db6d11"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6d2d172d9e177ed439b6f6ddc0785b86"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a6d2d172d9e177ed439b6f6ddc0785b86">fft_radix_2_axis_0</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes, uint Nx, uint Ni, float exp_const)</td></tr>
<tr class="memdesc:a6d2d172d9e177ed439b6f6ddc0785b86"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes a stage of a radix-2 FFT on axis 0. <a href="#a6d2d172d9e177ed439b6f6ddc0785b86">More...</a><br /></td></tr>
<tr class="separator:a6d2d172d9e177ed439b6f6ddc0785b86"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad4c7557777731327f741ef848e2b28c2"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#ad4c7557777731327f741ef848e2b28c2">fft_radix_2_axis_1</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes, uint Nx, uint Ni, float exp_const)</td></tr>
<tr class="memdesc:ad4c7557777731327f741ef848e2b28c2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes a stage of a radix-2 FFT on axis 1. <a href="#ad4c7557777731327f741ef848e2b28c2">More...</a><br /></td></tr>
<tr class="separator:ad4c7557777731327f741ef848e2b28c2"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af5d6a654bacf45355b1dcaacc6441691"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#af5d6a654bacf45355b1dcaacc6441691">fft_radix_3_axis_0</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes, uint Nx, uint Ni, float exp_const)</td></tr>
<tr class="memdesc:af5d6a654bacf45355b1dcaacc6441691"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes a stage of a radix-3 FFT on axis 0. <a href="#af5d6a654bacf45355b1dcaacc6441691">More...</a><br /></td></tr>
<tr class="separator:af5d6a654bacf45355b1dcaacc6441691"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6c378af2ec36adec6dd88b961151a057"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a6c378af2ec36adec6dd88b961151a057">fft_radix_3_axis_1</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes, uint Nx, uint Ni, float exp_const)</td></tr>
<tr class="memdesc:a6c378af2ec36adec6dd88b961151a057"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes a stage of a radix-3 FFT on axis 1. <a href="#a6c378af2ec36adec6dd88b961151a057">More...</a><br /></td></tr>
<tr class="separator:a6c378af2ec36adec6dd88b961151a057"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2f47b83634d50eb65c421bb579c7f056"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a2f47b83634d50eb65c421bb579c7f056">fft_radix_4_axis_0</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes, uint Nx, uint Ni, float exp_const)</td></tr>
<tr class="memdesc:a2f47b83634d50eb65c421bb579c7f056"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes a stage of a radix-4 FFT on axis 0. <a href="#a2f47b83634d50eb65c421bb579c7f056">More...</a><br /></td></tr>
<tr class="separator:a2f47b83634d50eb65c421bb579c7f056"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1ab2cb321d9d68ffb9158faf4f4694ff"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a1ab2cb321d9d68ffb9158faf4f4694ff">fft_radix_4_axis_1</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes, uint Nx, uint Ni, float exp_const)</td></tr>
<tr class="memdesc:a1ab2cb321d9d68ffb9158faf4f4694ff"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes a stage of a radix-4 FFT on axis 1. <a href="#a1ab2cb321d9d68ffb9158faf4f4694ff">More...</a><br /></td></tr>
<tr class="separator:a1ab2cb321d9d68ffb9158faf4f4694ff"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4eb2e93f73d6b6409b675b4b2f56dcd0"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a4eb2e93f73d6b6409b675b4b2f56dcd0">fft_radix_5_axis_0</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes, uint Nx, uint Ni, float exp_const)</td></tr>
<tr class="memdesc:a4eb2e93f73d6b6409b675b4b2f56dcd0"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes a stage of a radix-5 FFT on axis 0. <a href="#a4eb2e93f73d6b6409b675b4b2f56dcd0">More...</a><br /></td></tr>
<tr class="separator:a4eb2e93f73d6b6409b675b4b2f56dcd0"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abb1a1c12ab2c72bbb439051b7ff5481b"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#abb1a1c12ab2c72bbb439051b7ff5481b">fft_radix_5_axis_1</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes, uint Nx, uint Ni, float exp_const)</td></tr>
<tr class="memdesc:abb1a1c12ab2c72bbb439051b7ff5481b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes a stage of a radix-5 FFT on axis 1. <a href="#abb1a1c12ab2c72bbb439051b7ff5481b">More...</a><br /></td></tr>
<tr class="separator:abb1a1c12ab2c72bbb439051b7ff5481b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab6b1ce916618012474a0fa938fa69c6c"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#ab6b1ce916618012474a0fa938fa69c6c">fft_radix_7_axis_0</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes, uint Nx, uint Ni, float exp_const)</td></tr>
<tr class="memdesc:ab6b1ce916618012474a0fa938fa69c6c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes a stage of a radix-7 FFT on axis 0. <a href="#ab6b1ce916618012474a0fa938fa69c6c">More...</a><br /></td></tr>
<tr class="separator:ab6b1ce916618012474a0fa938fa69c6c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a76f9319802469601e05d6624e9d8d67c"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a76f9319802469601e05d6624e9d8d67c">fft_radix_7_axis_1</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes, uint Nx, uint Ni, float exp_const)</td></tr>
<tr class="memdesc:a76f9319802469601e05d6624e9d8d67c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes a stage of a radix-7 FFT on axis 1. <a href="#a76f9319802469601e05d6624e9d8d67c">More...</a><br /></td></tr>
<tr class="separator:a76f9319802469601e05d6624e9d8d67c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a73b5ddb25a62a1505d20c02aab7f69cd"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#a73b5ddb25a62a1505d20c02aab7f69cd">fft_radix_8_axis_0</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes, uint Nx, uint Ni, float exp_const)</td></tr>
<tr class="memdesc:a73b5ddb25a62a1505d20c02aab7f69cd"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes a stage of a radix-8 FFT on axis 0. <a href="#a73b5ddb25a62a1505d20c02aab7f69cd">More...</a><br /></td></tr>
<tr class="separator:a73b5ddb25a62a1505d20c02aab7f69cd"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa056502bc3783dce7428acc17ce9ee94"><td class="memItemLeft" align="right" valign="top">kernel void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="fft_8cl.xhtml#aa056502bc3783dce7428acc17ce9ee94">fft_radix_8_axis_1</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes, uint Nx, uint Ni, float exp_const)</td></tr>
<tr class="memdesc:aa056502bc3783dce7428acc17ce9ee94"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes a stage of a radix-8 FFT on axis 1. <a href="#aa056502bc3783dce7428acc17ce9ee94">More...</a><br /></td></tr>
<tr class="separator:aa056502bc3783dce7428acc17ce9ee94"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table>
<h2 class="groupheader">Macro Definition Documentation</h2>
<a id="a5a63ca1d5404d67d13382a90cfc9b6c3"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a5a63ca1d5404d67d13382a90cfc9b6c3">&#9670;&nbsp;</a></span>DFT_2</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">#define DFT_2</td>
<td>(</td>
<td class="paramtype">&#160;</td>
<td class="paramname">c0, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c1&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<b>Value:</b><div class="fragment"><div class="line">{ \</div><div class="line"> float2 v0; \</div><div class="line"> v0 = c0; \</div><div class="line"> c0 = v0 + c1; \</div><div class="line"> c1 = v0 - c1; \</div><div class="line"> }</div></div><!-- fragment -->
<p>Computes radix-2 butterfly unit. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">c0</td><td>Complex input 0. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c1</td><td>Complex input 1. </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00046">46</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
</div>
</div>
<a id="ac6ec77d2e41d56919c14c1483eee94ac"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ac6ec77d2e41d56919c14c1483eee94ac">&#9670;&nbsp;</a></span>DFT_3</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">#define DFT_3</td>
<td>(</td>
<td class="paramtype">&#160;</td>
<td class="paramname">c0, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c1, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c2&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<b>Value:</b><div class="fragment"><div class="line">{ \</div><div class="line"> float2 v0 = c1 + c2; \</div><div class="line"> float2 v1 = c1 - c2; \</div><div class="line"> c1.x = c0.x - 0.5f * v0.x + v1.y * <a class="code" href="fft_8cl.xhtml#adec4b7ab0397cf3774d5971cc1296d9f">SQRT3DIV2</a>; \</div><div class="line"> c1.y = c0.y - 0.5f * v0.y - v1.x * <a class="code" href="fft_8cl.xhtml#adec4b7ab0397cf3774d5971cc1296d9f">SQRT3DIV2</a>; \</div><div class="line"> c2.x = c0.x - 0.5f * v0.x - v1.y * <a class="code" href="fft_8cl.xhtml#adec4b7ab0397cf3774d5971cc1296d9f">SQRT3DIV2</a>; \</div><div class="line"> c2.y = c0.y - 0.5f * v0.y + v1.x * <a class="code" href="fft_8cl.xhtml#adec4b7ab0397cf3774d5971cc1296d9f">SQRT3DIV2</a>; \</div><div class="line"> c0 = c0 + v0; \</div><div class="line"> }</div><div class="ttc" id="fft_8cl_xhtml_adec4b7ab0397cf3774d5971cc1296d9f"><div class="ttname"><a href="fft_8cl.xhtml#adec4b7ab0397cf3774d5971cc1296d9f">SQRT3DIV2</a></div><div class="ttdeci">#define SQRT3DIV2</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00055">fft.cl:55</a></div></div>
</div><!-- fragment -->
<p>Computes radix-3 butterfly unit. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">c0</td><td>Complex input 0. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c1</td><td>Complex input 1. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c2</td><td>Complex input 2. </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00063">63</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
</div>
</div>
<a id="af97e6d43f8b70bcf009d521f8909db25"></a>
<h2 class="memtitle"><span class="permalink"><a href="#af97e6d43f8b70bcf009d521f8909db25">&#9670;&nbsp;</a></span>DFT_4</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">#define DFT_4</td>
<td>(</td>
<td class="paramtype">&#160;</td>
<td class="paramname">c0, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c1, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c2, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c3&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<b>Value:</b><div class="fragment"><div class="line">{ \</div><div class="line"> float2 v0, v1, v2, v3; \</div><div class="line"> v0 = c0 + c2; \</div><div class="line"> v1 = c1 + c3; \</div><div class="line"> v2 = c0 - c2; \</div><div class="line"> v3.x = c1.y - c3.y; \</div><div class="line"> v3.y = c3.x - c1.x; \</div><div class="line"> c0 = v0 + v1; \</div><div class="line"> c2 = v0 - v1; \</div><div class="line"> c1 = v2 + v3; \</div><div class="line"> c3 = v2 - v3; \</div><div class="line"> }</div></div><!-- fragment -->
<p>Computes radix-4 butterfly unit. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">c0</td><td>Complex input 0. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c1</td><td>Complex input 1. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c2</td><td>Complex input 2. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c3</td><td>Complex input 3. </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00081">81</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
</div>
</div>
<a id="a565f17c6fe3e9462057bb523e0127280"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a565f17c6fe3e9462057bb523e0127280">&#9670;&nbsp;</a></span>DFT_5</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">#define DFT_5</td>
<td>(</td>
<td class="paramtype">&#160;</td>
<td class="paramname">c0, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c1, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c2, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c3, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c4&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<b>Value:</b><div class="fragment"><div class="line">{ \</div><div class="line"> float2 v0, v1, v2, v3, v4; \</div><div class="line"> v0 = c0; \</div><div class="line"> v1 = <a class="code" href="fft_8cl.xhtml#a3ddea99343f4804c61e3d3376d3bedc1">W5_A</a> * (c1 + c4) - <a class="code" href="fft_8cl.xhtml#add4ae9e98c446aeb95bb6bf312996eb0">W5_C</a> * (c2 + c3); \</div><div class="line"> v2 = <a class="code" href="fft_8cl.xhtml#add4ae9e98c446aeb95bb6bf312996eb0">W5_C</a> * (c1 + c4) - <a class="code" href="fft_8cl.xhtml#a3ddea99343f4804c61e3d3376d3bedc1">W5_A</a> * (c2 + c3); \</div><div class="line"> v3 = <a class="code" href="fft_8cl.xhtml#a55263f2a15f045ec5f4673b5bdda9bc4">W5_D</a> * (c1 - c4) - <a class="code" href="fft_8cl.xhtml#aeb3e0b1f96e2ecec9df46338c274ab9f">W5_B</a> * (c2 - c3); \</div><div class="line"> v4 = <a class="code" href="fft_8cl.xhtml#aeb3e0b1f96e2ecec9df46338c274ab9f">W5_B</a> * (c1 - c4) + <a class="code" href="fft_8cl.xhtml#a55263f2a15f045ec5f4673b5bdda9bc4">W5_D</a> * (c2 - c3); \</div><div class="line"> c0 = v0 + c1 + c2 + c3 + c4; \</div><div class="line"> c1 = v0 + v1 + (float2)(v4.y, -v4.x); \</div><div class="line"> c2 = v0 - v2 + (float2)(v3.y, -v3.x); \</div><div class="line"> c3 = v0 - v2 + (float2)(-v3.y, v3.x); \</div><div class="line"> c4 = v0 + v1 + (float2)(-v4.y, v4.x); \</div><div class="line"> }</div><div class="ttc" id="fft_8cl_xhtml_aeb3e0b1f96e2ecec9df46338c274ab9f"><div class="ttname"><a href="fft_8cl.xhtml#aeb3e0b1f96e2ecec9df46338c274ab9f">W5_B</a></div><div class="ttdeci">#define W5_B</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00097">fft.cl:97</a></div></div>
<div class="ttc" id="fft_8cl_xhtml_a3ddea99343f4804c61e3d3376d3bedc1"><div class="ttname"><a href="fft_8cl.xhtml#a3ddea99343f4804c61e3d3376d3bedc1">W5_A</a></div><div class="ttdeci">#define W5_A</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00096">fft.cl:96</a></div></div>
<div class="ttc" id="fft_8cl_xhtml_add4ae9e98c446aeb95bb6bf312996eb0"><div class="ttname"><a href="fft_8cl.xhtml#add4ae9e98c446aeb95bb6bf312996eb0">W5_C</a></div><div class="ttdeci">#define W5_C</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00098">fft.cl:98</a></div></div>
<div class="ttc" id="fft_8cl_xhtml_a55263f2a15f045ec5f4673b5bdda9bc4"><div class="ttname"><a href="fft_8cl.xhtml#a55263f2a15f045ec5f4673b5bdda9bc4">W5_D</a></div><div class="ttdeci">#define W5_D</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00099">fft.cl:99</a></div></div>
</div><!-- fragment -->
<p>Computes radix-5 butterfly unit. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">c0</td><td>Complex input 0. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c1</td><td>Complex input 1. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c2</td><td>Complex input 2. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c3</td><td>Complex input 3. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c4</td><td>Complex input 4. </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00109">109</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
</div>
</div>
<a id="ad04a4028658f997aaca067742c2e8a49"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ad04a4028658f997aaca067742c2e8a49">&#9670;&nbsp;</a></span>DFT_7</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">#define DFT_7</td>
<td>(</td>
<td class="paramtype">&#160;</td>
<td class="paramname">c0, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c1, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c2, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c3, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c4, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c5, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c6&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<b>Value:</b><div class="fragment"><div class="line">{ \</div><div class="line"> float2 v0, v1, v2, v3, v4, v5, v6; \</div><div class="line"> v0 = c0; \</div><div class="line"> v1 = <a class="code" href="fft_8cl.xhtml#ac2612396f1dc9f3037fa59f6efd4e759">W7_A</a> * (c1 + c6) - <a class="code" href="fft_8cl.xhtml#a014e0a1952e8b2a95b66f244958adc86">W7_C</a> * (c2 + c5) - <a class="code" href="fft_8cl.xhtml#ad6991beebc37eaa9fec68f1a7ccf019f">W7_E</a> * (c3 + c4); \</div><div class="line"> v2 = <a class="code" href="fft_8cl.xhtml#a014e0a1952e8b2a95b66f244958adc86">W7_C</a> * (c1 + c6) + <a class="code" href="fft_8cl.xhtml#ad6991beebc37eaa9fec68f1a7ccf019f">W7_E</a> * (c2 + c5) - <a class="code" href="fft_8cl.xhtml#ac2612396f1dc9f3037fa59f6efd4e759">W7_A</a> * (c3 + c4); \</div><div class="line"> v3 = <a class="code" href="fft_8cl.xhtml#ad6991beebc37eaa9fec68f1a7ccf019f">W7_E</a> * (c1 + c6) - <a class="code" href="fft_8cl.xhtml#ac2612396f1dc9f3037fa59f6efd4e759">W7_A</a> * (c2 + c5) + <a class="code" href="fft_8cl.xhtml#a014e0a1952e8b2a95b66f244958adc86">W7_C</a> * (c3 + c4); \</div><div class="line"> v4 = <a class="code" href="fft_8cl.xhtml#ab07d9041b925e9a79b953d01d170145d">W7_B</a> * (c1 - c6) + <a class="code" href="fft_8cl.xhtml#a2e8bd73ebc6280cb023a90bff4b4e595">W7_D</a> * (c2 - c5) + <a class="code" href="fft_8cl.xhtml#a2c2804f21de28bb28c360d8d5b8ab98b">W7_F</a> * (c3 - c4); \</div><div class="line"> v5 = <a class="code" href="fft_8cl.xhtml#a2e8bd73ebc6280cb023a90bff4b4e595">W7_D</a> * (c1 - c6) - <a class="code" href="fft_8cl.xhtml#a2c2804f21de28bb28c360d8d5b8ab98b">W7_F</a> * (c2 - c5) - <a class="code" href="fft_8cl.xhtml#ab07d9041b925e9a79b953d01d170145d">W7_B</a> * (c3 - c4); \</div><div class="line"> v6 = <a class="code" href="fft_8cl.xhtml#a2c2804f21de28bb28c360d8d5b8ab98b">W7_F</a> * (c1 - c6) - <a class="code" href="fft_8cl.xhtml#ab07d9041b925e9a79b953d01d170145d">W7_B</a> * (c2 - c5) + <a class="code" href="fft_8cl.xhtml#a2e8bd73ebc6280cb023a90bff4b4e595">W7_D</a> * (c3 - c4); \</div><div class="line"> c0 = v0 + c1 + c2 + c3 + c4 + c5 + c6; \</div><div class="line"> c1 = v0 + v1 + (float2)(v4.y, -v4.x); \</div><div class="line"> c2 = v0 - v2 + (float2)(v5.y, -v5.x); \</div><div class="line"> c3 = v0 - v3 + (float2)(v6.y, -v6.x); \</div><div class="line"> c4 = v0 - v3 + (float2)(-v6.y, v6.x); \</div><div class="line"> c5 = v0 - v2 + (float2)(-v5.y, v5.x); \</div><div class="line"> c6 = v0 + v1 + (float2)(-v4.y, v4.x); \</div><div class="line"> }</div><div class="ttc" id="fft_8cl_xhtml_ad6991beebc37eaa9fec68f1a7ccf019f"><div class="ttname"><a href="fft_8cl.xhtml#ad6991beebc37eaa9fec68f1a7ccf019f">W7_E</a></div><div class="ttdeci">#define W7_E</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00129">fft.cl:129</a></div></div>
<div class="ttc" id="fft_8cl_xhtml_ac2612396f1dc9f3037fa59f6efd4e759"><div class="ttname"><a href="fft_8cl.xhtml#ac2612396f1dc9f3037fa59f6efd4e759">W7_A</a></div><div class="ttdeci">#define W7_A</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00125">fft.cl:125</a></div></div>
<div class="ttc" id="fft_8cl_xhtml_a2c2804f21de28bb28c360d8d5b8ab98b"><div class="ttname"><a href="fft_8cl.xhtml#a2c2804f21de28bb28c360d8d5b8ab98b">W7_F</a></div><div class="ttdeci">#define W7_F</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00130">fft.cl:130</a></div></div>
<div class="ttc" id="fft_8cl_xhtml_ab07d9041b925e9a79b953d01d170145d"><div class="ttname"><a href="fft_8cl.xhtml#ab07d9041b925e9a79b953d01d170145d">W7_B</a></div><div class="ttdeci">#define W7_B</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00126">fft.cl:126</a></div></div>
<div class="ttc" id="fft_8cl_xhtml_a014e0a1952e8b2a95b66f244958adc86"><div class="ttname"><a href="fft_8cl.xhtml#a014e0a1952e8b2a95b66f244958adc86">W7_C</a></div><div class="ttdeci">#define W7_C</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00127">fft.cl:127</a></div></div>
<div class="ttc" id="fft_8cl_xhtml_a2e8bd73ebc6280cb023a90bff4b4e595"><div class="ttname"><a href="fft_8cl.xhtml#a2e8bd73ebc6280cb023a90bff4b4e595">W7_D</a></div><div class="ttdeci">#define W7_D</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00128">fft.cl:128</a></div></div>
</div><!-- fragment -->
<p>Computes radix-7 butterfly unit. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">c0</td><td>Complex input 0. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c1</td><td>Complex input 1. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c2</td><td>Complex input 2. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c3</td><td>Complex input 3. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c4</td><td>Complex input 4. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c5</td><td>Complex input 5. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c6</td><td>Complex input 6. </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00142">142</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
</div>
</div>
<a id="a4c4ce3f10939dd4237d0adee00086a53"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a4c4ce3f10939dd4237d0adee00086a53">&#9670;&nbsp;</a></span>DFT_8</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">#define DFT_8</td>
<td>(</td>
<td class="paramtype">&#160;</td>
<td class="paramname">c0, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c1, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c2, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c3, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c4, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c5, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c6, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">c7&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes radix-8 butterfly unit. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">c0</td><td>Complex input 0. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c1</td><td>Complex input 1. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c2</td><td>Complex input 2. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c3</td><td>Complex input 3. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c4</td><td>Complex input 4. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c5</td><td>Complex input 5. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c6</td><td>Complex input 6. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">c7</td><td>Complex input 7. </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00172">172</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
</div>
</div>
<a id="adec4b7ab0397cf3774d5971cc1296d9f"></a>
<h2 class="memtitle"><span class="permalink"><a href="#adec4b7ab0397cf3774d5971cc1296d9f">&#9670;&nbsp;</a></span>SQRT3DIV2</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">#define SQRT3DIV2&#160;&#160;&#160;0.86602540378443f</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00055">55</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
</div>
</div>
<a id="ad4dcc4a8b94f263cd19c59fdc2cec3d2"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ad4dcc4a8b94f263cd19c59fdc2cec3d2">&#9670;&nbsp;</a></span>TWIDDLE_FACTOR_MULTIPLICATION</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">#define TWIDDLE_FACTOR_MULTIPLICATION</td>
<td>(</td>
<td class="paramtype">&#160;</td>
<td class="paramname">phi, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">&#160;</td>
<td class="paramname">input&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<b>Value:</b><div class="fragment"><div class="line">{ \</div><div class="line"> float2 <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1a367830ae09bf6138df822888ec1d71">w</a>, tmp; \</div><div class="line"> w.x = native_cos(phi); \</div><div class="line"> w.y = native_sin(phi); \</div><div class="line"> tmp.x = (<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1a367830ae09bf6138df822888ec1d71">w</a>.x * input.x) - (<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1a367830ae09bf6138df822888ec1d71">w</a>.y * input.y); \</div><div class="line"> tmp.y = (<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1a367830ae09bf6138df822888ec1d71">w</a>.x * input.y) + (<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1a367830ae09bf6138df822888ec1d71">w</a>.y * input.x); \</div><div class="line"> input = tmp; \</div><div class="line"> }</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><!-- fragment -->
<p>Calculates and applies the twiddle factor to a given input. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">phi</td><td>The angle. </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input</td><td>The input on which the factor should be applied. </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00031">31</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
</div>
</div>
<a id="a3ddea99343f4804c61e3d3376d3bedc1"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a3ddea99343f4804c61e3d3376d3bedc1">&#9670;&nbsp;</a></span>W5_A</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">#define W5_A&#160;&#160;&#160;0.30901699437494f</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00096">96</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
</div>
</div>
<a id="aeb3e0b1f96e2ecec9df46338c274ab9f"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aeb3e0b1f96e2ecec9df46338c274ab9f">&#9670;&nbsp;</a></span>W5_B</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">#define W5_B&#160;&#160;&#160;0.95105651629515f</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00097">97</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
</div>
</div>
<a id="add4ae9e98c446aeb95bb6bf312996eb0"></a>
<h2 class="memtitle"><span class="permalink"><a href="#add4ae9e98c446aeb95bb6bf312996eb0">&#9670;&nbsp;</a></span>W5_C</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">#define W5_C&#160;&#160;&#160;0.80901699437494f</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00098">98</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
</div>
</div>
<a id="a55263f2a15f045ec5f4673b5bdda9bc4"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a55263f2a15f045ec5f4673b5bdda9bc4">&#9670;&nbsp;</a></span>W5_D</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">#define W5_D&#160;&#160;&#160;0.58778525229247f</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00099">99</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
</div>
</div>
<a id="ac2612396f1dc9f3037fa59f6efd4e759"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ac2612396f1dc9f3037fa59f6efd4e759">&#9670;&nbsp;</a></span>W7_A</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">#define W7_A&#160;&#160;&#160;0.62348980185873f</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00125">125</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
</div>
</div>
<a id="ab07d9041b925e9a79b953d01d170145d"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ab07d9041b925e9a79b953d01d170145d">&#9670;&nbsp;</a></span>W7_B</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">#define W7_B&#160;&#160;&#160;0.78183148246802f</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00126">126</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
</div>
</div>
<a id="a014e0a1952e8b2a95b66f244958adc86"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a014e0a1952e8b2a95b66f244958adc86">&#9670;&nbsp;</a></span>W7_C</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">#define W7_C&#160;&#160;&#160;0.22252093395631f</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00127">127</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
</div>
</div>
<a id="a2e8bd73ebc6280cb023a90bff4b4e595"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a2e8bd73ebc6280cb023a90bff4b4e595">&#9670;&nbsp;</a></span>W7_D</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">#define W7_D&#160;&#160;&#160;0.97492791218182f</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00128">128</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
</div>
</div>
<a id="ad6991beebc37eaa9fec68f1a7ccf019f"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ad6991beebc37eaa9fec68f1a7ccf019f">&#9670;&nbsp;</a></span>W7_E</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">#define W7_E&#160;&#160;&#160;0.90096886790241f</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00129">129</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
</div>
</div>
<a id="a2c2804f21de28bb28c360d8d5b8ab98b"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a2c2804f21de28bb28c360d8d5b8ab98b">&#9670;&nbsp;</a></span>W7_F</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">#define W7_F&#160;&#160;&#160;0.43388373911755f</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00130">130</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
</div>
</div>
<h2 class="groupheader">Function Documentation</h2>
<a id="a6d2d172d9e177ed439b6f6ddc0785b86"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a6d2d172d9e177ed439b6f6ddc0785b86">&#9670;&nbsp;</a></span>fft_radix_2_axis_0()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_2_axis_0 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Nx</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Ni</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float&#160;</td>
<td class="paramname"><em>exp_const</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes a stage of a radix-2 FFT on axis 0. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Nx</td><td>The butterfly span. Products of radix order of previous radix's stage </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Ni</td><td>Nx * Ny. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">exp_const</td><td>Exponent constant </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00855">855</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l00863"></a><span class="lineno"> 863</span>&#160;{</div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span>&#160; <span class="comment">// Each work-item computes a single radix-2</span></div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span>&#160; uint kx = get_global_id(0);</div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span>&#160;</div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span>&#160; <span class="comment">// Compute nx</span></div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span>&#160; uint nx = kx % Nx;</div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span>&#160;</div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>&#160; <span class="comment">// Compute n index</span></div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span>&#160; uint n = nx + (kx / Nx) * Ni;</div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span>&#160;</div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(input);</div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span>&#160; input.ptr += n * input.stride_x + get_global_id(1) * input.stride_y + get_global_id(2) * input.stride_z;</div><div class="line"><a name="l00876"></a><span class="lineno"> 876</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l00877"></a><span class="lineno"> 877</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(output);</div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span>&#160; output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += n * output.<a class="code" href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a> + get_global_id(1) * output.<a class="code" href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">stride_y</a> + get_global_id(2) * output.<a class="code" href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">stride_z</a>;</div><div class="line"><a name="l00881"></a><span class="lineno"> 881</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00882"></a><span class="lineno"> 882</span>&#160;</div><div class="line"><a name="l00883"></a><span class="lineno"> 883</span>&#160; <span class="comment">// Load two complex input values</span></div><div class="line"><a name="l00884"></a><span class="lineno"> 884</span>&#160; float2 c0 = vload2(0, (__global <span class="keywordtype">float</span> *)input.ptr);</div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span>&#160; float2 c1 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, Nx, 0, 0));</div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span>&#160;</div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span>&#160; <span class="comment">// Compute phi</span></div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span>&#160; <span class="keywordtype">float</span> phi = (float)nx * exp_const;</div><div class="line"><a name="l00889"></a><span class="lineno"> 889</span>&#160;</div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span>&#160; <span class="comment">// Multiply by twiddle factor</span></div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(phi, c1);</div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span>&#160;</div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span>&#160; <span class="comment">// Compute DFT N = 2</span></div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span>&#160; <a class="code" href="fft_8cl.xhtml#a5a63ca1d5404d67d13382a90cfc9b6c3">DFT_2</a>(c0, c1);</div><div class="line"><a name="l00895"></a><span class="lineno"> 895</span>&#160;</div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span>&#160; <span class="comment">// Store two complex output values</span></div><div class="line"><a name="l00897"></a><span class="lineno"> 897</span>&#160; vstore2(c0, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span>&#160; vstore2(c1, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, Nx, 0, 0));</div><div class="line"><a name="l00899"></a><span class="lineno"> 899</span>&#160;}</div><div class="ttc" id="fft_8cl_xhtml_ad4dcc4a8b94f263cd19c59fdc2cec3d2"><div class="ttname"><a href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a></div><div class="ttdeci">#define TWIDDLE_FACTOR_MULTIPLICATION(phi, input)</div><div class="ttdoc">Calculates and applies the twiddle factor to a given input.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00031">fft.cl:31</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ad5ff7a2b2bd0eec50fe09c254b127d1c"><div class="ttname"><a href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">Tensor3D::stride_z</a></div><div class="ttdeci">int stride_z</div><div class="ttdoc">Stride of the image in Z dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">helpers.h:182</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ae01febbfd0689ef709f3ff6fdd2abc7e"><div class="ttname"><a href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">Tensor3D::stride_x</a></div><div class="ttdeci">int stride_x</div><div class="ttdoc">Stride of the image in X dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">helpers.h:180</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="fft_8cl_xhtml_a5a63ca1d5404d67d13382a90cfc9b6c3"><div class="ttname"><a href="fft_8cl.xhtml#a5a63ca1d5404d67d13382a90cfc9b6c3">DFT_2</a></div><div class="ttdeci">#define DFT_2(c0, c1)</div><div class="ttdoc">Computes radix-2 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00046">fft.cl:46</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a79e8e562daa6599317d2d1cd86ef1bf2"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_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#l00148">helpers.h:148</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="struct_tensor3_d_xhtml_a4f0b90c9ecd6e57ceb3f37332fefe8f1"><div class="ttname"><a href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">Tensor3D::stride_y</a></div><div class="ttdeci">int stride_y</div><div class="ttdoc">Stride of the image in Y dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">helpers.h:181</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00148">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>, <a class="el" href="fft_8cl_source.xhtml#l00046">DFT_2</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">Tensor3D::stride_x</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">Tensor3D::stride_y</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">Tensor3D::stride_z</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>, and <a class="el" href="fft_8cl_source.xhtml#l00031">TWIDDLE_FACTOR_MULTIPLICATION</a>.</p>
</div>
</div>
<a id="ad4c7557777731327f741ef848e2b28c2"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ad4c7557777731327f741ef848e2b28c2">&#9670;&nbsp;</a></span>fft_radix_2_axis_1()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_2_axis_1 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Nx</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Ni</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float&#160;</td>
<td class="paramname"><em>exp_const</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes a stage of a radix-2 FFT on axis 1. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Nx</td><td>The butterfly span. Products of radix order of previous radix's stage </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Ni</td><td>Nx * Ny. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">exp_const</td><td>Exponent constant </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00925">925</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l00933"></a><span class="lineno"> 933</span>&#160;{</div><div class="line"><a name="l00934"></a><span class="lineno"> 934</span>&#160; <span class="comment">// Each work-item computes a single radix-2</span></div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span>&#160; uint kx = get_global_id(1);</div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>&#160;</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span>&#160; <span class="comment">// Compute nx</span></div><div class="line"><a name="l00938"></a><span class="lineno"> 938</span>&#160; uint nx = kx % Nx;</div><div class="line"><a name="l00939"></a><span class="lineno"> 939</span>&#160;</div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span>&#160; <span class="comment">// Compute n index</span></div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span>&#160; uint n = nx + (kx / Nx) * Ni;</div><div class="line"><a name="l00942"></a><span class="lineno"> 942</span>&#160;</div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(input);</div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span>&#160; input.ptr += get_global_id(0) * input.stride_x + n * input.stride_y + get_global_id(2) * input.stride_z;</div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(output);</div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span>&#160; output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += get_global_id(0) * output.<a class="code" href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a> + n * output.<a class="code" href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">stride_y</a> + get_global_id(2) * output.<a class="code" href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">stride_z</a>;</div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00952"></a><span class="lineno"> 952</span>&#160;</div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span>&#160; <span class="comment">// Load two complex input values</span></div><div class="line"><a name="l00954"></a><span class="lineno"> 954</span>&#160; float2 c0 = vload2(0, (__global <span class="keywordtype">float</span> *)input.ptr);</div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span>&#160; float2 c1 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, Nx, 0));</div><div class="line"><a name="l00956"></a><span class="lineno"> 956</span>&#160;</div><div class="line"><a name="l00957"></a><span class="lineno"> 957</span>&#160; <span class="comment">// Compute phi</span></div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span>&#160; <span class="keywordtype">float</span> phi = (float)nx * exp_const;</div><div class="line"><a name="l00959"></a><span class="lineno"> 959</span>&#160;</div><div class="line"><a name="l00960"></a><span class="lineno"> 960</span>&#160; <span class="comment">// Multiply by twiddle factor</span></div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(phi, c1);</div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span>&#160;</div><div class="line"><a name="l00963"></a><span class="lineno"> 963</span>&#160; <span class="comment">// Compute DFT N = 2</span></div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span>&#160; <a class="code" href="fft_8cl.xhtml#a5a63ca1d5404d67d13382a90cfc9b6c3">DFT_2</a>(c0, c1);</div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span>&#160;</div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span>&#160; <span class="comment">// Store two complex output values</span></div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span>&#160; vstore2(c0, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span>&#160; vstore2(c1, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, Nx, 0));</div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span>&#160;}</div><div class="ttc" id="fft_8cl_xhtml_ad4dcc4a8b94f263cd19c59fdc2cec3d2"><div class="ttname"><a href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a></div><div class="ttdeci">#define TWIDDLE_FACTOR_MULTIPLICATION(phi, input)</div><div class="ttdoc">Calculates and applies the twiddle factor to a given input.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00031">fft.cl:31</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ad5ff7a2b2bd0eec50fe09c254b127d1c"><div class="ttname"><a href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">Tensor3D::stride_z</a></div><div class="ttdeci">int stride_z</div><div class="ttdoc">Stride of the image in Z dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">helpers.h:182</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ae01febbfd0689ef709f3ff6fdd2abc7e"><div class="ttname"><a href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">Tensor3D::stride_x</a></div><div class="ttdeci">int stride_x</div><div class="ttdoc">Stride of the image in X dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">helpers.h:180</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="fft_8cl_xhtml_a5a63ca1d5404d67d13382a90cfc9b6c3"><div class="ttname"><a href="fft_8cl.xhtml#a5a63ca1d5404d67d13382a90cfc9b6c3">DFT_2</a></div><div class="ttdeci">#define DFT_2(c0, c1)</div><div class="ttdoc">Computes radix-2 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00046">fft.cl:46</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a79e8e562daa6599317d2d1cd86ef1bf2"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_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#l00148">helpers.h:148</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="struct_tensor3_d_xhtml_a4f0b90c9ecd6e57ceb3f37332fefe8f1"><div class="ttname"><a href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">Tensor3D::stride_y</a></div><div class="ttdeci">int stride_y</div><div class="ttdoc">Stride of the image in Y dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">helpers.h:181</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00148">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>, <a class="el" href="fft_8cl_source.xhtml#l00046">DFT_2</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">Tensor3D::stride_x</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">Tensor3D::stride_y</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">Tensor3D::stride_z</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>, and <a class="el" href="fft_8cl_source.xhtml#l00031">TWIDDLE_FACTOR_MULTIPLICATION</a>.</p>
</div>
</div>
<a id="aea16049f33aa1fa59ca48e7092238bf0"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aea16049f33aa1fa59ca48e7092238bf0">&#9670;&nbsp;</a></span>fft_radix_2_first_stage_axis_0()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_2_first_stage_axis_0 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes the first stage of a radix-2 DFT on axis 0. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00234">234</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160;{</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <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="l00248"></a><span class="lineno"> 248</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160;</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; <span class="comment">// Load two complex input values</span></div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; float4 data = vload4(0, (__global <span class="keywordtype">float</span> *)input.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160;</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; <span class="comment">// Compute DFT N = 2</span></div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; <a class="code" href="fft_8cl.xhtml#a5a63ca1d5404d67d13382a90cfc9b6c3">DFT_2</a>(data.s01, data.s23);</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160;</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; <span class="comment">// Store two complex output values</span></div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; vstore4(data, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160;}</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="fft_8cl_xhtml_a5a63ca1d5404d67d13382a90cfc9b6c3"><div class="ttname"><a href="fft_8cl.xhtml#a5a63ca1d5404d67d13382a90cfc9b6c3">DFT_2</a></div><div class="ttdeci">#define DFT_2(c0, c1)</div><div class="ttdoc">Computes radix-2 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00046">fft.cl:46</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="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><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00144">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="fft_8cl_source.xhtml#l00046">DFT_2</a>, and <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>.</p>
</div>
</div>
<a id="ae919967e7eb2349552a120bd0ab40eb2"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ae919967e7eb2349552a120bd0ab40eb2">&#9670;&nbsp;</a></span>fft_radix_2_first_stage_axis_1()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_2_first_stage_axis_1 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes the first stage of a radix-2 DFT on axis 1. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00281">281</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160;{</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <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="l00295"></a><span class="lineno"> 295</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160;</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; <span class="comment">// Load two complex input values</span></div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; float2 data1 = vload2(0, (__global <span class="keywordtype">float</span> *)input.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; float2 data2 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 1, 0));</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160;</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; <span class="comment">// Compute DFT N = 2</span></div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; <a class="code" href="fft_8cl.xhtml#a5a63ca1d5404d67d13382a90cfc9b6c3">DFT_2</a>(data1, data2);</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160;</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; <span class="comment">// Store two complex output values</span></div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; vstore2(data1, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; vstore2(data2, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 1, 0));</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160;}</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="fft_8cl_xhtml_a5a63ca1d5404d67d13382a90cfc9b6c3"><div class="ttname"><a href="fft_8cl.xhtml#a5a63ca1d5404d67d13382a90cfc9b6c3">DFT_2</a></div><div class="ttdeci">#define DFT_2(c0, c1)</div><div class="ttdoc">Computes radix-2 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00046">fft.cl:46</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="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_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00144">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="fft_8cl_source.xhtml#l00046">DFT_2</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, and <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>.</p>
</div>
</div>
<a id="af5d6a654bacf45355b1dcaacc6441691"></a>
<h2 class="memtitle"><span class="permalink"><a href="#af5d6a654bacf45355b1dcaacc6441691">&#9670;&nbsp;</a></span>fft_radix_3_axis_0()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_3_axis_0 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Nx</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Ni</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float&#160;</td>
<td class="paramname"><em>exp_const</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes a stage of a radix-3 FFT on axis 0. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Nx</td><td>The butterfly span. Products of radix order of previous radix's stage </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Ni</td><td>Nx * Ny. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">exp_const</td><td>Exponent constant </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00995">995</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>&#160;{</div><div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>&#160; <span class="comment">// Each work-item computes a single radix-3</span></div><div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>&#160; uint kx = get_global_id(0);</div><div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>&#160;</div><div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>&#160; <span class="comment">// Compute nx</span></div><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>&#160; uint nx = kx % Nx;</div><div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>&#160;</div><div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>&#160; <span class="comment">// Compute n index</span></div><div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>&#160; uint n = nx + (kx / Nx) * Ni;</div><div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>&#160;</div><div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(input);</div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>&#160; input.ptr += n * input.stride_x + get_global_id(1) * input.stride_y + get_global_id(2) * input.stride_z;</div><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(output);</div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>&#160; output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += n * output.<a class="code" href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a> + get_global_id(1) * output.<a class="code" href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">stride_y</a> + get_global_id(2) * output.<a class="code" href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">stride_z</a>;</div><div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>&#160;</div><div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>&#160; <span class="comment">// Load three complex input values</span></div><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>&#160; float2 c0 = vload2(0, (__global <span class="keywordtype">float</span> *)input.ptr);</div><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>&#160; float2 c1 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, Nx, 0, 0));</div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>&#160; float2 c2 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 2 * Nx, 0, 0));</div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>&#160;</div><div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>&#160; <span class="comment">// Compute phi</span></div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>&#160; <span class="keywordtype">float</span> phi = (float)nx * exp_const;</div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>&#160;</div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>&#160; <span class="comment">// Multiply by twiddle factor</span></div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(phi, c1);</div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(2 * phi, c2);</div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>&#160;</div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>&#160; <span class="comment">// Compute DFT N = 3</span></div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>&#160; <a class="code" href="fft_8cl.xhtml#ac6ec77d2e41d56919c14c1483eee94ac">DFT_3</a>(c0, c1, c2);</div><div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>&#160;</div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>&#160; <span class="comment">// Store three complex output values</span></div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>&#160; vstore2(c0, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>&#160; vstore2(c1, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, Nx, 0, 0));</div><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>&#160; vstore2(c2, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 2 * Nx, 0, 0));</div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>&#160;}</div><div class="ttc" id="fft_8cl_xhtml_ad4dcc4a8b94f263cd19c59fdc2cec3d2"><div class="ttname"><a href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a></div><div class="ttdeci">#define TWIDDLE_FACTOR_MULTIPLICATION(phi, input)</div><div class="ttdoc">Calculates and applies the twiddle factor to a given input.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00031">fft.cl:31</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ad5ff7a2b2bd0eec50fe09c254b127d1c"><div class="ttname"><a href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">Tensor3D::stride_z</a></div><div class="ttdeci">int stride_z</div><div class="ttdoc">Stride of the image in Z dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">helpers.h:182</a></div></div>
<div class="ttc" id="fft_8cl_xhtml_ac6ec77d2e41d56919c14c1483eee94ac"><div class="ttname"><a href="fft_8cl.xhtml#ac6ec77d2e41d56919c14c1483eee94ac">DFT_3</a></div><div class="ttdeci">#define DFT_3(c0, c1, c2)</div><div class="ttdoc">Computes radix-3 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00063">fft.cl:63</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ae01febbfd0689ef709f3ff6fdd2abc7e"><div class="ttname"><a href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">Tensor3D::stride_x</a></div><div class="ttdeci">int stride_x</div><div class="ttdoc">Stride of the image in X dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">helpers.h:180</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_a79e8e562daa6599317d2d1cd86ef1bf2"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_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#l00148">helpers.h:148</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="struct_tensor3_d_xhtml_a4f0b90c9ecd6e57ceb3f37332fefe8f1"><div class="ttname"><a href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">Tensor3D::stride_y</a></div><div class="ttdeci">int stride_y</div><div class="ttdoc">Stride of the image in Y dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">helpers.h:181</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00148">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>, <a class="el" href="fft_8cl_source.xhtml#l00063">DFT_3</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">Tensor3D::stride_x</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">Tensor3D::stride_y</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">Tensor3D::stride_z</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>, and <a class="el" href="fft_8cl_source.xhtml#l00031">TWIDDLE_FACTOR_MULTIPLICATION</a>.</p>
</div>
</div>
<a id="a6c378af2ec36adec6dd88b961151a057"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a6c378af2ec36adec6dd88b961151a057">&#9670;&nbsp;</a></span>fft_radix_3_axis_1()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_3_axis_1 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Nx</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Ni</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float&#160;</td>
<td class="paramname"><em>exp_const</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes a stage of a radix-3 FFT on axis 1. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Nx</td><td>The butterfly span. Products of radix order of previous radix's stage </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Ni</td><td>Nx * Ny. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">exp_const</td><td>Exponent constant </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l01068">1068</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>&#160;{</div><div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>&#160; <span class="comment">// Each work-item computes a single radix-3</span></div><div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>&#160; uint kx = get_global_id(1);</div><div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>&#160;</div><div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>&#160; <span class="comment">// Compute nx</span></div><div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>&#160; uint nx = kx % Nx;</div><div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>&#160;</div><div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>&#160; <span class="comment">// Compute n index</span></div><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>&#160; uint n = nx + (kx / Nx) * Ni;</div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>&#160;</div><div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(input);</div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>&#160; input.ptr += get_global_id(0) * input.stride_x + n * input.stride_y + get_global_id(2) * input.stride_z;</div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(output);</div><div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>&#160; output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += get_global_id(0) * output.<a class="code" href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a> + n * output.<a class="code" href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">stride_y</a> + get_global_id(2) * output.<a class="code" href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">stride_z</a>;</div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>&#160;</div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>&#160; <span class="comment">// Load three complex input values</span></div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>&#160; float2 c0 = vload2(0, (__global <span class="keywordtype">float</span> *)input.ptr);</div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>&#160; float2 c1 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, Nx, 0));</div><div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>&#160; float2 c2 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 2 * Nx, 0));</div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>&#160;</div><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>&#160; <span class="comment">// Compute phi</span></div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>&#160; <span class="keywordtype">float</span> phi = (float)nx * exp_const;</div><div class="line"><a name="l01103"></a><span class="lineno"> 1103</span>&#160;</div><div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>&#160; <span class="comment">// Multiply by twiddle factor</span></div><div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(phi, c1);</div><div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(2 * phi, c2);</div><div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>&#160;</div><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>&#160; <span class="comment">// Compute DFT N = 3</span></div><div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>&#160; <a class="code" href="fft_8cl.xhtml#ac6ec77d2e41d56919c14c1483eee94ac">DFT_3</a>(c0, c1, c2);</div><div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>&#160;</div><div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>&#160; <span class="comment">// Store three complex output values</span></div><div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>&#160; vstore2(c0, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>&#160; vstore2(c1, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, Nx, 0));</div><div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>&#160; vstore2(c2, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 2 * Nx, 0));</div><div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>&#160;}</div><div class="ttc" id="fft_8cl_xhtml_ad4dcc4a8b94f263cd19c59fdc2cec3d2"><div class="ttname"><a href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a></div><div class="ttdeci">#define TWIDDLE_FACTOR_MULTIPLICATION(phi, input)</div><div class="ttdoc">Calculates and applies the twiddle factor to a given input.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00031">fft.cl:31</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ad5ff7a2b2bd0eec50fe09c254b127d1c"><div class="ttname"><a href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">Tensor3D::stride_z</a></div><div class="ttdeci">int stride_z</div><div class="ttdoc">Stride of the image in Z dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">helpers.h:182</a></div></div>
<div class="ttc" id="fft_8cl_xhtml_ac6ec77d2e41d56919c14c1483eee94ac"><div class="ttname"><a href="fft_8cl.xhtml#ac6ec77d2e41d56919c14c1483eee94ac">DFT_3</a></div><div class="ttdeci">#define DFT_3(c0, c1, c2)</div><div class="ttdoc">Computes radix-3 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00063">fft.cl:63</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ae01febbfd0689ef709f3ff6fdd2abc7e"><div class="ttname"><a href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">Tensor3D::stride_x</a></div><div class="ttdeci">int stride_x</div><div class="ttdoc">Stride of the image in X dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">helpers.h:180</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_a79e8e562daa6599317d2d1cd86ef1bf2"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_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#l00148">helpers.h:148</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="struct_tensor3_d_xhtml_a4f0b90c9ecd6e57ceb3f37332fefe8f1"><div class="ttname"><a href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">Tensor3D::stride_y</a></div><div class="ttdeci">int stride_y</div><div class="ttdoc">Stride of the image in Y dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">helpers.h:181</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00148">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>, <a class="el" href="fft_8cl_source.xhtml#l00063">DFT_3</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">Tensor3D::stride_x</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">Tensor3D::stride_y</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">Tensor3D::stride_z</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>, and <a class="el" href="fft_8cl_source.xhtml#l00031">TWIDDLE_FACTOR_MULTIPLICATION</a>.</p>
</div>
</div>
<a id="a3a40d552a9d4c240e46db020bd606a2b"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a3a40d552a9d4c240e46db020bd606a2b">&#9670;&nbsp;</a></span>fft_radix_3_first_stage_axis_0()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_3_first_stage_axis_0 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes the first stage of a radix-3 DFT on axis 0. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00330">330</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160;{</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <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="l00344"></a><span class="lineno"> 344</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160;</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; <span class="comment">// Load three complex input values</span></div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; float4 data0 = vload4(0, (__global <span class="keywordtype">float</span> *)input.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; float2 data1 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 2, 0, 0));</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160;</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; <span class="comment">// Compute DFT N = 3</span></div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; <a class="code" href="fft_8cl.xhtml#ac6ec77d2e41d56919c14c1483eee94ac">DFT_3</a>(data0.s01, data0.s23, data1.s01);</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160;</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; <span class="comment">// Store three complex output values</span></div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; vstore4(data0, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; vstore2(data1, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 2, 0, 0));</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160;}</div><div class="ttc" id="fft_8cl_xhtml_ac6ec77d2e41d56919c14c1483eee94ac"><div class="ttname"><a href="fft_8cl.xhtml#ac6ec77d2e41d56919c14c1483eee94ac">DFT_3</a></div><div class="ttdeci">#define DFT_3(c0, c1, c2)</div><div class="ttdoc">Computes radix-3 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00063">fft.cl:63</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="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_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00144">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="fft_8cl_source.xhtml#l00063">DFT_3</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, and <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>.</p>
</div>
</div>
<a id="a45a776393b0fabafec290645e3d67010"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a45a776393b0fabafec290645e3d67010">&#9670;&nbsp;</a></span>fft_radix_3_first_stage_axis_1()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_3_first_stage_axis_1 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes the first stage of a radix-3 DFT on axis 1. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00379">379</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160;{</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <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="l00393"></a><span class="lineno"> 393</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160;</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160; <span class="comment">// Load three complex input values</span></div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160; float2 data0 = vload2(0, (__global <span class="keywordtype">float</span> *)input.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160; float2 data1 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 1, 0));</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160; float2 data2 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 2, 0));</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160;</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160; <span class="comment">// Compute DFT N = 3</span></div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160; <a class="code" href="fft_8cl.xhtml#ac6ec77d2e41d56919c14c1483eee94ac">DFT_3</a>(data0, data1, data2);</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160;</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160; <span class="comment">// Store three complex output values</span></div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160; vstore2(data0, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; vstore2(data1, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 1, 0));</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; vstore2(data2, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 2, 0));</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160;}</div><div class="ttc" id="fft_8cl_xhtml_ac6ec77d2e41d56919c14c1483eee94ac"><div class="ttname"><a href="fft_8cl.xhtml#ac6ec77d2e41d56919c14c1483eee94ac">DFT_3</a></div><div class="ttdeci">#define DFT_3(c0, c1, c2)</div><div class="ttdoc">Computes radix-3 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00063">fft.cl:63</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="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_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00144">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="fft_8cl_source.xhtml#l00063">DFT_3</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, and <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>.</p>
</div>
</div>
<a id="a2f47b83634d50eb65c421bb579c7f056"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a2f47b83634d50eb65c421bb579c7f056">&#9670;&nbsp;</a></span>fft_radix_4_axis_0()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_4_axis_0 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Nx</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Ni</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float&#160;</td>
<td class="paramname"><em>exp_const</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes a stage of a radix-4 FFT on axis 0. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Nx</td><td>The butterfly span. Products of radix order of previous radix's stage </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Ni</td><td>Nx * Ny. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">exp_const</td><td>Exponent constant </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l01141">1141</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>&#160;{</div><div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>&#160; <span class="comment">// Each work-item computes a single radix-4</span></div><div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>&#160; uint kx = get_global_id(0);</div><div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>&#160;</div><div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>&#160; <span class="comment">// Compute nx</span></div><div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>&#160; uint nx = kx % Nx;</div><div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>&#160;</div><div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>&#160; <span class="comment">// Compute n index</span></div><div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>&#160; uint n = nx + (kx / Nx) * Ni;</div><div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>&#160;</div><div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(input);</div><div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>&#160; input.ptr += n * input.stride_x + get_global_id(1) * input.stride_y + get_global_id(2) * input.stride_z;</div><div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(output);</div><div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>&#160; output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += n * output.<a class="code" href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a> + get_global_id(1) * output.<a class="code" href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">stride_y</a> + get_global_id(2) * output.<a class="code" href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">stride_z</a>;</div><div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>&#160;</div><div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>&#160; <span class="comment">// Load four complex input values</span></div><div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>&#160; float2 c0 = vload2(0, (__global <span class="keywordtype">float</span> *)input.ptr);</div><div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>&#160; float2 c1 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, Nx, 0, 0));</div><div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>&#160; float2 c2 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 2 * Nx, 0, 0));</div><div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>&#160; float2 c3 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 3 * Nx, 0, 0));</div><div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>&#160;</div><div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>&#160; <span class="comment">// Compute phi</span></div><div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>&#160; <span class="keywordtype">float</span> phi = (float)nx * exp_const;</div><div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>&#160;</div><div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>&#160; <span class="comment">// Multiply by twiddle factor</span></div><div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(phi, c1);</div><div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(2 * phi, c2);</div><div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(3 * phi, c3);</div><div class="line"><a name="l01182"></a><span class="lineno"> 1182</span>&#160;</div><div class="line"><a name="l01183"></a><span class="lineno"> 1183</span>&#160; <span class="comment">// Compute DFT N = 4</span></div><div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>&#160; <a class="code" href="fft_8cl.xhtml#af97e6d43f8b70bcf009d521f8909db25">DFT_4</a>(c0, c1, c2, c3);</div><div class="line"><a name="l01185"></a><span class="lineno"> 1185</span>&#160;</div><div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>&#160; <span class="comment">// Store four complex output values</span></div><div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>&#160; vstore2(c0, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>&#160; vstore2(c1, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, Nx, 0, 0));</div><div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>&#160; vstore2(c2, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 2 * Nx, 0, 0));</div><div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>&#160; vstore2(c3, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 3 * Nx, 0, 0));</div><div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>&#160;}</div><div class="ttc" id="fft_8cl_xhtml_ad4dcc4a8b94f263cd19c59fdc2cec3d2"><div class="ttname"><a href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a></div><div class="ttdeci">#define TWIDDLE_FACTOR_MULTIPLICATION(phi, input)</div><div class="ttdoc">Calculates and applies the twiddle factor to a given input.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00031">fft.cl:31</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ad5ff7a2b2bd0eec50fe09c254b127d1c"><div class="ttname"><a href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">Tensor3D::stride_z</a></div><div class="ttdeci">int stride_z</div><div class="ttdoc">Stride of the image in Z dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">helpers.h:182</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ae01febbfd0689ef709f3ff6fdd2abc7e"><div class="ttname"><a href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">Tensor3D::stride_x</a></div><div class="ttdeci">int stride_x</div><div class="ttdoc">Stride of the image in X dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">helpers.h:180</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_a79e8e562daa6599317d2d1cd86ef1bf2"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_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#l00148">helpers.h:148</a></div></div>
<div class="ttc" id="fft_8cl_xhtml_af97e6d43f8b70bcf009d521f8909db25"><div class="ttname"><a href="fft_8cl.xhtml#af97e6d43f8b70bcf009d521f8909db25">DFT_4</a></div><div class="ttdeci">#define DFT_4(c0, c1, c2, c3)</div><div class="ttdoc">Computes radix-4 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00081">fft.cl:81</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="struct_tensor3_d_xhtml_a4f0b90c9ecd6e57ceb3f37332fefe8f1"><div class="ttname"><a href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">Tensor3D::stride_y</a></div><div class="ttdeci">int stride_y</div><div class="ttdoc">Stride of the image in Y dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">helpers.h:181</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00148">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>, <a class="el" href="fft_8cl_source.xhtml#l00081">DFT_4</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">Tensor3D::stride_x</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">Tensor3D::stride_y</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">Tensor3D::stride_z</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>, and <a class="el" href="fft_8cl_source.xhtml#l00031">TWIDDLE_FACTOR_MULTIPLICATION</a>.</p>
</div>
</div>
<a id="a1ab2cb321d9d68ffb9158faf4f4694ff"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a1ab2cb321d9d68ffb9158faf4f4694ff">&#9670;&nbsp;</a></span>fft_radix_4_axis_1()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_4_axis_1 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Nx</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Ni</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float&#160;</td>
<td class="paramname"><em>exp_const</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes a stage of a radix-4 FFT on axis 1. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Nx</td><td>The butterfly span. Products of radix order of previous radix's stage </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Ni</td><td>Nx * Ny. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">exp_const</td><td>Exponent constant </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l01217">1217</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l01225"></a><span class="lineno"> 1225</span>&#160;{</div><div class="line"><a name="l01226"></a><span class="lineno"> 1226</span>&#160; <span class="comment">// Each work-item computes a single radix-4</span></div><div class="line"><a name="l01227"></a><span class="lineno"> 1227</span>&#160; uint kx = get_global_id(1);</div><div class="line"><a name="l01228"></a><span class="lineno"> 1228</span>&#160;</div><div class="line"><a name="l01229"></a><span class="lineno"> 1229</span>&#160; <span class="comment">// Compute nx</span></div><div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>&#160; uint nx = kx % Nx;</div><div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>&#160;</div><div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>&#160; <span class="comment">// Compute n index</span></div><div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>&#160; uint n = nx + (kx / Nx) * Ni;</div><div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>&#160;</div><div class="line"><a name="l01235"></a><span class="lineno"> 1235</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(input);</div><div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>&#160; input.ptr += get_global_id(0) * input.stride_x + n * input.stride_y + get_global_id(2) * input.stride_z;</div><div class="line"><a name="l01238"></a><span class="lineno"> 1238</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l01239"></a><span class="lineno"> 1239</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l01241"></a><span class="lineno"> 1241</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(output);</div><div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>&#160; output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += get_global_id(0) * output.<a class="code" href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a> + n * output.<a class="code" href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">stride_y</a> + get_global_id(2) * output.<a class="code" href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">stride_z</a>;</div><div class="line"><a name="l01243"></a><span class="lineno"> 1243</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>&#160;</div><div class="line"><a name="l01245"></a><span class="lineno"> 1245</span>&#160; <span class="comment">// Load four complex input values</span></div><div class="line"><a name="l01246"></a><span class="lineno"> 1246</span>&#160; float2 c0 = vload2(0, (__global <span class="keywordtype">float</span> *)input.ptr);</div><div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>&#160; float2 c1 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, Nx, 0));</div><div class="line"><a name="l01248"></a><span class="lineno"> 1248</span>&#160; float2 c2 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 2 * Nx, 0));</div><div class="line"><a name="l01249"></a><span class="lineno"> 1249</span>&#160; float2 c3 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 3 * Nx, 0));</div><div class="line"><a name="l01250"></a><span class="lineno"> 1250</span>&#160;</div><div class="line"><a name="l01251"></a><span class="lineno"> 1251</span>&#160; <span class="comment">// Compute phi</span></div><div class="line"><a name="l01252"></a><span class="lineno"> 1252</span>&#160; <span class="keywordtype">float</span> phi = (float)nx * exp_const;</div><div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>&#160;</div><div class="line"><a name="l01254"></a><span class="lineno"> 1254</span>&#160; <span class="comment">// Multiply by twiddle factor</span></div><div class="line"><a name="l01255"></a><span class="lineno"> 1255</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(phi, c1);</div><div class="line"><a name="l01256"></a><span class="lineno"> 1256</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(2 * phi, c2);</div><div class="line"><a name="l01257"></a><span class="lineno"> 1257</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(3 * phi, c3);</div><div class="line"><a name="l01258"></a><span class="lineno"> 1258</span>&#160;</div><div class="line"><a name="l01259"></a><span class="lineno"> 1259</span>&#160; <span class="comment">// Compute DFT N = 4</span></div><div class="line"><a name="l01260"></a><span class="lineno"> 1260</span>&#160; <a class="code" href="fft_8cl.xhtml#af97e6d43f8b70bcf009d521f8909db25">DFT_4</a>(c0, c1, c2, c3);</div><div class="line"><a name="l01261"></a><span class="lineno"> 1261</span>&#160;</div><div class="line"><a name="l01262"></a><span class="lineno"> 1262</span>&#160; <span class="comment">// Store four complex output values</span></div><div class="line"><a name="l01263"></a><span class="lineno"> 1263</span>&#160; vstore2(c0, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l01264"></a><span class="lineno"> 1264</span>&#160; vstore2(c1, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, Nx, 0));</div><div class="line"><a name="l01265"></a><span class="lineno"> 1265</span>&#160; vstore2(c2, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 2 * Nx, 0));</div><div class="line"><a name="l01266"></a><span class="lineno"> 1266</span>&#160; vstore2(c3, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 3 * Nx, 0));</div><div class="line"><a name="l01267"></a><span class="lineno"> 1267</span>&#160;}</div><div class="ttc" id="fft_8cl_xhtml_ad4dcc4a8b94f263cd19c59fdc2cec3d2"><div class="ttname"><a href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a></div><div class="ttdeci">#define TWIDDLE_FACTOR_MULTIPLICATION(phi, input)</div><div class="ttdoc">Calculates and applies the twiddle factor to a given input.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00031">fft.cl:31</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ad5ff7a2b2bd0eec50fe09c254b127d1c"><div class="ttname"><a href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">Tensor3D::stride_z</a></div><div class="ttdeci">int stride_z</div><div class="ttdoc">Stride of the image in Z dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">helpers.h:182</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ae01febbfd0689ef709f3ff6fdd2abc7e"><div class="ttname"><a href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">Tensor3D::stride_x</a></div><div class="ttdeci">int stride_x</div><div class="ttdoc">Stride of the image in X dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">helpers.h:180</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_a79e8e562daa6599317d2d1cd86ef1bf2"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_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#l00148">helpers.h:148</a></div></div>
<div class="ttc" id="fft_8cl_xhtml_af97e6d43f8b70bcf009d521f8909db25"><div class="ttname"><a href="fft_8cl.xhtml#af97e6d43f8b70bcf009d521f8909db25">DFT_4</a></div><div class="ttdeci">#define DFT_4(c0, c1, c2, c3)</div><div class="ttdoc">Computes radix-4 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00081">fft.cl:81</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="struct_tensor3_d_xhtml_a4f0b90c9ecd6e57ceb3f37332fefe8f1"><div class="ttname"><a href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">Tensor3D::stride_y</a></div><div class="ttdeci">int stride_y</div><div class="ttdoc">Stride of the image in Y dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">helpers.h:181</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00148">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>, <a class="el" href="fft_8cl_source.xhtml#l00081">DFT_4</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">Tensor3D::stride_x</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">Tensor3D::stride_y</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">Tensor3D::stride_z</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>, and <a class="el" href="fft_8cl_source.xhtml#l00031">TWIDDLE_FACTOR_MULTIPLICATION</a>.</p>
</div>
</div>
<a id="a67f435359dc175539c7d04d27c4bebb4"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a67f435359dc175539c7d04d27c4bebb4">&#9670;&nbsp;</a></span>fft_radix_4_first_stage_axis_0()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_4_first_stage_axis_0 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes the first stage of a radix-4 DFT on axis 0. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00430">430</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160;{</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <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="l00444"></a><span class="lineno"> 444</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>&#160;</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>&#160; <span class="comment">// Load four complex input values</span></div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>&#160; float8 data = vload8(0, (__global <span class="keywordtype">float</span> *)input.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160;</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160; <span class="comment">// Compute DFT N = 4</span></div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160; <a class="code" href="fft_8cl.xhtml#af97e6d43f8b70bcf009d521f8909db25">DFT_4</a>(data.s01, data.s23, data.s45, data.s67);</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>&#160;</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>&#160; <span class="comment">// Store four complex output values</span></div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>&#160; vstore8(data, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>&#160;}</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="fft_8cl_xhtml_af97e6d43f8b70bcf009d521f8909db25"><div class="ttname"><a href="fft_8cl.xhtml#af97e6d43f8b70bcf009d521f8909db25">DFT_4</a></div><div class="ttdeci">#define DFT_4(c0, c1, c2, c3)</div><div class="ttdoc">Computes radix-4 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00081">fft.cl:81</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><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00144">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="fft_8cl_source.xhtml#l00081">DFT_4</a>, and <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>.</p>
</div>
</div>
<a id="aa9b7071c5ccacded46ca51f250807be5"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aa9b7071c5ccacded46ca51f250807be5">&#9670;&nbsp;</a></span>fft_radix_4_first_stage_axis_1()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_4_first_stage_axis_1 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes the first stage of a radix-4 DFT on axis 1. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00477">477</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160;{</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <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="l00491"></a><span class="lineno"> 491</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>&#160;</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>&#160; <span class="comment">// Load four complex input values</span></div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>&#160; float2 data0 = vload2(0, (__global <span class="keywordtype">float</span> *)input.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>&#160; float2 data1 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 1, 0));</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>&#160; float2 data2 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 2, 0));</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160; float2 data3 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 3, 0));</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>&#160;</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160; <span class="comment">// Compute DFT N = 4</span></div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>&#160; <a class="code" href="fft_8cl.xhtml#af97e6d43f8b70bcf009d521f8909db25">DFT_4</a>(data0, data1, data2, data3);</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>&#160;</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>&#160; <span class="comment">// Store four complex output values</span></div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>&#160; vstore2(data0, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>&#160; vstore2(data1, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 1, 0));</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160; vstore2(data2, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 2, 0));</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>&#160; vstore2(data3, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 3, 0));</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>&#160;}</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="fft_8cl_xhtml_af97e6d43f8b70bcf009d521f8909db25"><div class="ttname"><a href="fft_8cl.xhtml#af97e6d43f8b70bcf009d521f8909db25">DFT_4</a></div><div class="ttdeci">#define DFT_4(c0, c1, c2, c3)</div><div class="ttdoc">Computes radix-4 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00081">fft.cl:81</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_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00144">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="fft_8cl_source.xhtml#l00081">DFT_4</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, and <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>.</p>
</div>
</div>
<a id="a4eb2e93f73d6b6409b675b4b2f56dcd0"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a4eb2e93f73d6b6409b675b4b2f56dcd0">&#9670;&nbsp;</a></span>fft_radix_5_axis_0()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_5_axis_0 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Nx</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Ni</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float&#160;</td>
<td class="paramname"><em>exp_const</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes a stage of a radix-5 FFT on axis 0. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Nx</td><td>The butterfly span. Products of radix order of previous radix's stage </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Ni</td><td>Nx * Ny. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">exp_const</td><td>Exponent constant </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l01293">1293</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>&#160;{</div><div class="line"><a name="l01302"></a><span class="lineno"> 1302</span>&#160; <span class="comment">// Each work-item computes a single radix-5</span></div><div class="line"><a name="l01303"></a><span class="lineno"> 1303</span>&#160; uint kx = get_global_id(0);</div><div class="line"><a name="l01304"></a><span class="lineno"> 1304</span>&#160;</div><div class="line"><a name="l01305"></a><span class="lineno"> 1305</span>&#160; <span class="comment">// Compute nx</span></div><div class="line"><a name="l01306"></a><span class="lineno"> 1306</span>&#160; uint nx = kx % Nx;</div><div class="line"><a name="l01307"></a><span class="lineno"> 1307</span>&#160;</div><div class="line"><a name="l01308"></a><span class="lineno"> 1308</span>&#160; <span class="comment">// Compute n index</span></div><div class="line"><a name="l01309"></a><span class="lineno"> 1309</span>&#160; uint n = nx + (kx / Nx) * Ni;</div><div class="line"><a name="l01310"></a><span class="lineno"> 1310</span>&#160;</div><div class="line"><a name="l01311"></a><span class="lineno"> 1311</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l01312"></a><span class="lineno"> 1312</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(input);</div><div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>&#160; input.ptr += n * input.stride_x + get_global_id(1) * input.stride_y + get_global_id(2) * input.stride_z;</div><div class="line"><a name="l01314"></a><span class="lineno"> 1314</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l01315"></a><span class="lineno"> 1315</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l01316"></a><span class="lineno"> 1316</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l01317"></a><span class="lineno"> 1317</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(output);</div><div class="line"><a name="l01318"></a><span class="lineno"> 1318</span>&#160; output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += n * output.<a class="code" href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a> + get_global_id(1) * output.<a class="code" href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">stride_y</a> + get_global_id(2) * output.<a class="code" href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">stride_z</a>;</div><div class="line"><a name="l01319"></a><span class="lineno"> 1319</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l01320"></a><span class="lineno"> 1320</span>&#160;</div><div class="line"><a name="l01321"></a><span class="lineno"> 1321</span>&#160; <span class="comment">// Load five complex input values</span></div><div class="line"><a name="l01322"></a><span class="lineno"> 1322</span>&#160; float2 c0 = vload2(0, (__global <span class="keywordtype">float</span> *)input.ptr);</div><div class="line"><a name="l01323"></a><span class="lineno"> 1323</span>&#160; float2 c1 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, Nx, 0, 0));</div><div class="line"><a name="l01324"></a><span class="lineno"> 1324</span>&#160; float2 c2 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 2 * Nx, 0, 0));</div><div class="line"><a name="l01325"></a><span class="lineno"> 1325</span>&#160; float2 c3 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 3 * Nx, 0, 0));</div><div class="line"><a name="l01326"></a><span class="lineno"> 1326</span>&#160; float2 c4 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 4 * Nx, 0, 0));</div><div class="line"><a name="l01327"></a><span class="lineno"> 1327</span>&#160;</div><div class="line"><a name="l01328"></a><span class="lineno"> 1328</span>&#160; <span class="comment">// Compute phi</span></div><div class="line"><a name="l01329"></a><span class="lineno"> 1329</span>&#160; <span class="keywordtype">float</span> phi = (float)nx * exp_const;</div><div class="line"><a name="l01330"></a><span class="lineno"> 1330</span>&#160;</div><div class="line"><a name="l01331"></a><span class="lineno"> 1331</span>&#160; <span class="comment">// Multiply by twiddle factor</span></div><div class="line"><a name="l01332"></a><span class="lineno"> 1332</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(phi, c1);</div><div class="line"><a name="l01333"></a><span class="lineno"> 1333</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(2 * phi, c2);</div><div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(3 * phi, c3);</div><div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(4 * phi, c4);</div><div class="line"><a name="l01336"></a><span class="lineno"> 1336</span>&#160;</div><div class="line"><a name="l01337"></a><span class="lineno"> 1337</span>&#160; <span class="comment">// Compute DFT N = 5</span></div><div class="line"><a name="l01338"></a><span class="lineno"> 1338</span>&#160; <a class="code" href="fft_8cl.xhtml#a565f17c6fe3e9462057bb523e0127280">DFT_5</a>(c0, c1, c2, c3, c4);</div><div class="line"><a name="l01339"></a><span class="lineno"> 1339</span>&#160;</div><div class="line"><a name="l01340"></a><span class="lineno"> 1340</span>&#160; <span class="comment">// Store five complex output values</span></div><div class="line"><a name="l01341"></a><span class="lineno"> 1341</span>&#160; vstore2(c0, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l01342"></a><span class="lineno"> 1342</span>&#160; vstore2(c1, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, Nx, 0, 0));</div><div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>&#160; vstore2(c2, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 2 * Nx, 0, 0));</div><div class="line"><a name="l01344"></a><span class="lineno"> 1344</span>&#160; vstore2(c3, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 3 * Nx, 0, 0));</div><div class="line"><a name="l01345"></a><span class="lineno"> 1345</span>&#160; vstore2(c4, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 4 * Nx, 0, 0));</div><div class="line"><a name="l01346"></a><span class="lineno"> 1346</span>&#160;}</div><div class="ttc" id="fft_8cl_xhtml_ad4dcc4a8b94f263cd19c59fdc2cec3d2"><div class="ttname"><a href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a></div><div class="ttdeci">#define TWIDDLE_FACTOR_MULTIPLICATION(phi, input)</div><div class="ttdoc">Calculates and applies the twiddle factor to a given input.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00031">fft.cl:31</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ad5ff7a2b2bd0eec50fe09c254b127d1c"><div class="ttname"><a href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">Tensor3D::stride_z</a></div><div class="ttdeci">int stride_z</div><div class="ttdoc">Stride of the image in Z dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">helpers.h:182</a></div></div>
<div class="ttc" id="fft_8cl_xhtml_a565f17c6fe3e9462057bb523e0127280"><div class="ttname"><a href="fft_8cl.xhtml#a565f17c6fe3e9462057bb523e0127280">DFT_5</a></div><div class="ttdeci">#define DFT_5(c0, c1, c2, c3, c4)</div><div class="ttdoc">Computes radix-5 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00109">fft.cl:109</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ae01febbfd0689ef709f3ff6fdd2abc7e"><div class="ttname"><a href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">Tensor3D::stride_x</a></div><div class="ttdeci">int stride_x</div><div class="ttdoc">Stride of the image in X dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">helpers.h:180</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_a79e8e562daa6599317d2d1cd86ef1bf2"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_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#l00148">helpers.h:148</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="struct_tensor3_d_xhtml_a4f0b90c9ecd6e57ceb3f37332fefe8f1"><div class="ttname"><a href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">Tensor3D::stride_y</a></div><div class="ttdeci">int stride_y</div><div class="ttdoc">Stride of the image in Y dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">helpers.h:181</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00148">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>, <a class="el" href="fft_8cl_source.xhtml#l00109">DFT_5</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">Tensor3D::stride_x</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">Tensor3D::stride_y</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">Tensor3D::stride_z</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>, and <a class="el" href="fft_8cl_source.xhtml#l00031">TWIDDLE_FACTOR_MULTIPLICATION</a>.</p>
</div>
</div>
<a id="abb1a1c12ab2c72bbb439051b7ff5481b"></a>
<h2 class="memtitle"><span class="permalink"><a href="#abb1a1c12ab2c72bbb439051b7ff5481b">&#9670;&nbsp;</a></span>fft_radix_5_axis_1()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_5_axis_1 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Nx</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Ni</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float&#160;</td>
<td class="paramname"><em>exp_const</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes a stage of a radix-5 FFT on axis 1. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Nx</td><td>The butterfly span. Products of radix order of previous radix's stage </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Ni</td><td>Nx * Ny. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">exp_const</td><td>Exponent constant </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l01372">1372</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l01380"></a><span class="lineno"> 1380</span>&#160;{</div><div class="line"><a name="l01381"></a><span class="lineno"> 1381</span>&#160; <span class="comment">// Each work-item computes a single radix-5</span></div><div class="line"><a name="l01382"></a><span class="lineno"> 1382</span>&#160; uint kx = get_global_id(1);</div><div class="line"><a name="l01383"></a><span class="lineno"> 1383</span>&#160;</div><div class="line"><a name="l01384"></a><span class="lineno"> 1384</span>&#160; <span class="comment">// Compute nx</span></div><div class="line"><a name="l01385"></a><span class="lineno"> 1385</span>&#160; uint nx = kx % Nx;</div><div class="line"><a name="l01386"></a><span class="lineno"> 1386</span>&#160;</div><div class="line"><a name="l01387"></a><span class="lineno"> 1387</span>&#160; <span class="comment">// Compute n index</span></div><div class="line"><a name="l01388"></a><span class="lineno"> 1388</span>&#160; uint n = nx + (kx / Nx) * Ni;</div><div class="line"><a name="l01389"></a><span class="lineno"> 1389</span>&#160;</div><div class="line"><a name="l01390"></a><span class="lineno"> 1390</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l01391"></a><span class="lineno"> 1391</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(input);</div><div class="line"><a name="l01392"></a><span class="lineno"> 1392</span>&#160; input.ptr += get_global_id(0) * input.stride_x + n * input.stride_y + get_global_id(2) * input.stride_z;</div><div class="line"><a name="l01393"></a><span class="lineno"> 1393</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l01394"></a><span class="lineno"> 1394</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l01395"></a><span class="lineno"> 1395</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l01396"></a><span class="lineno"> 1396</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(output);</div><div class="line"><a name="l01397"></a><span class="lineno"> 1397</span>&#160; output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += get_global_id(0) * output.<a class="code" href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a> + n * output.<a class="code" href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">stride_y</a> + get_global_id(2) * output.<a class="code" href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">stride_z</a>;</div><div class="line"><a name="l01398"></a><span class="lineno"> 1398</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l01399"></a><span class="lineno"> 1399</span>&#160;</div><div class="line"><a name="l01400"></a><span class="lineno"> 1400</span>&#160; <span class="comment">// Load five complex input values</span></div><div class="line"><a name="l01401"></a><span class="lineno"> 1401</span>&#160; float2 c0 = vload2(0, (__global <span class="keywordtype">float</span> *)input.ptr);</div><div class="line"><a name="l01402"></a><span class="lineno"> 1402</span>&#160; float2 c1 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, Nx, 0));</div><div class="line"><a name="l01403"></a><span class="lineno"> 1403</span>&#160; float2 c2 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 2 * Nx, 0));</div><div class="line"><a name="l01404"></a><span class="lineno"> 1404</span>&#160; float2 c3 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 3 * Nx, 0));</div><div class="line"><a name="l01405"></a><span class="lineno"> 1405</span>&#160; float2 c4 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 4 * Nx, 0));</div><div class="line"><a name="l01406"></a><span class="lineno"> 1406</span>&#160;</div><div class="line"><a name="l01407"></a><span class="lineno"> 1407</span>&#160; <span class="comment">// Compute phi</span></div><div class="line"><a name="l01408"></a><span class="lineno"> 1408</span>&#160; <span class="keywordtype">float</span> phi = (float)nx * exp_const;</div><div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>&#160;</div><div class="line"><a name="l01410"></a><span class="lineno"> 1410</span>&#160; <span class="comment">// Multiply by twiddle factor</span></div><div class="line"><a name="l01411"></a><span class="lineno"> 1411</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(phi, c1);</div><div class="line"><a name="l01412"></a><span class="lineno"> 1412</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(2 * phi, c2);</div><div class="line"><a name="l01413"></a><span class="lineno"> 1413</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(3 * phi, c3);</div><div class="line"><a name="l01414"></a><span class="lineno"> 1414</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(4 * phi, c4);</div><div class="line"><a name="l01415"></a><span class="lineno"> 1415</span>&#160;</div><div class="line"><a name="l01416"></a><span class="lineno"> 1416</span>&#160; <span class="comment">// Compute DFT N = 5</span></div><div class="line"><a name="l01417"></a><span class="lineno"> 1417</span>&#160; <a class="code" href="fft_8cl.xhtml#a565f17c6fe3e9462057bb523e0127280">DFT_5</a>(c0, c1, c2, c3, c4);</div><div class="line"><a name="l01418"></a><span class="lineno"> 1418</span>&#160;</div><div class="line"><a name="l01419"></a><span class="lineno"> 1419</span>&#160; <span class="comment">// Store five complex output values</span></div><div class="line"><a name="l01420"></a><span class="lineno"> 1420</span>&#160; vstore2(c0, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l01421"></a><span class="lineno"> 1421</span>&#160; vstore2(c1, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, Nx, 0));</div><div class="line"><a name="l01422"></a><span class="lineno"> 1422</span>&#160; vstore2(c2, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 2 * Nx, 0));</div><div class="line"><a name="l01423"></a><span class="lineno"> 1423</span>&#160; vstore2(c3, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 3 * Nx, 0));</div><div class="line"><a name="l01424"></a><span class="lineno"> 1424</span>&#160; vstore2(c4, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 4 * Nx, 0));</div><div class="line"><a name="l01425"></a><span class="lineno"> 1425</span>&#160;}</div><div class="ttc" id="fft_8cl_xhtml_ad4dcc4a8b94f263cd19c59fdc2cec3d2"><div class="ttname"><a href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a></div><div class="ttdeci">#define TWIDDLE_FACTOR_MULTIPLICATION(phi, input)</div><div class="ttdoc">Calculates and applies the twiddle factor to a given input.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00031">fft.cl:31</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ad5ff7a2b2bd0eec50fe09c254b127d1c"><div class="ttname"><a href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">Tensor3D::stride_z</a></div><div class="ttdeci">int stride_z</div><div class="ttdoc">Stride of the image in Z dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">helpers.h:182</a></div></div>
<div class="ttc" id="fft_8cl_xhtml_a565f17c6fe3e9462057bb523e0127280"><div class="ttname"><a href="fft_8cl.xhtml#a565f17c6fe3e9462057bb523e0127280">DFT_5</a></div><div class="ttdeci">#define DFT_5(c0, c1, c2, c3, c4)</div><div class="ttdoc">Computes radix-5 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00109">fft.cl:109</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ae01febbfd0689ef709f3ff6fdd2abc7e"><div class="ttname"><a href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">Tensor3D::stride_x</a></div><div class="ttdeci">int stride_x</div><div class="ttdoc">Stride of the image in X dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">helpers.h:180</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_a79e8e562daa6599317d2d1cd86ef1bf2"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_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#l00148">helpers.h:148</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="struct_tensor3_d_xhtml_a4f0b90c9ecd6e57ceb3f37332fefe8f1"><div class="ttname"><a href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">Tensor3D::stride_y</a></div><div class="ttdeci">int stride_y</div><div class="ttdoc">Stride of the image in Y dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">helpers.h:181</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00148">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>, <a class="el" href="fft_8cl_source.xhtml#l00109">DFT_5</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">Tensor3D::stride_x</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">Tensor3D::stride_y</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">Tensor3D::stride_z</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>, and <a class="el" href="fft_8cl_source.xhtml#l00031">TWIDDLE_FACTOR_MULTIPLICATION</a>.</p>
</div>
</div>
<a id="a11794801d4e717905406446d14cd313b"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a11794801d4e717905406446d14cd313b">&#9670;&nbsp;</a></span>fft_radix_5_first_stage_axis_0()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_5_first_stage_axis_0 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes the first stage of a radix-5 DFT on axis 0. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00530">530</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>&#160;{</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <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="l00544"></a><span class="lineno"> 544</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>&#160;</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>&#160; <span class="comment">// Load five complex input values</span></div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160; float8 data0 = vload8(0, (__global <span class="keywordtype">float</span> *)input.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>&#160; float2 data1 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 4, 0, 0));</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>&#160;</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>&#160; <span class="comment">// Compute DFT N = 5</span></div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>&#160; <a class="code" href="fft_8cl.xhtml#a565f17c6fe3e9462057bb523e0127280">DFT_5</a>(data0.s01, data0.s23, data0.s45, data0.s67, data1.s01);</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>&#160;</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>&#160; <span class="comment">// Store five complex output values</span></div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>&#160; vstore8(data0, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>&#160; vstore2(data1, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 4, 0, 0));</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>&#160;}</div><div class="ttc" id="fft_8cl_xhtml_a565f17c6fe3e9462057bb523e0127280"><div class="ttname"><a href="fft_8cl.xhtml#a565f17c6fe3e9462057bb523e0127280">DFT_5</a></div><div class="ttdeci">#define DFT_5(c0, c1, c2, c3, c4)</div><div class="ttdoc">Computes radix-5 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00109">fft.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="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_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00144">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="fft_8cl_source.xhtml#l00109">DFT_5</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, and <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>.</p>
</div>
</div>
<a id="a6f8673fc7472554bb672ef796f6b91b7"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a6f8673fc7472554bb672ef796f6b91b7">&#9670;&nbsp;</a></span>fft_radix_5_first_stage_axis_1()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_5_first_stage_axis_1 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes the first stage of a radix-5 DFT on axis 1. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00579">579</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>&#160;{</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <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="l00593"></a><span class="lineno"> 593</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>&#160;</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>&#160; <span class="comment">// Load five complex input values</span></div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>&#160; float2 data0 = vload2(0, (__global <span class="keywordtype">float</span> *)input.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>&#160; float2 data1 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 1, 0));</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>&#160; float2 data2 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 2, 0));</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>&#160; float2 data3 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 3, 0));</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>&#160; float2 data4 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 4, 0));</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>&#160;</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>&#160; <span class="comment">// Compute DFT N = 5</span></div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>&#160; <a class="code" href="fft_8cl.xhtml#a565f17c6fe3e9462057bb523e0127280">DFT_5</a>(data0, data1, data2, data3, data4);</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>&#160;</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>&#160; <span class="comment">// Store five complex output values</span></div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>&#160; vstore2(data0, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>&#160; vstore2(data1, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 1, 0));</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>&#160; vstore2(data2, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 2, 0));</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>&#160; vstore2(data3, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 3, 0));</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>&#160; vstore2(data4, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 4, 0));</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>&#160;}</div><div class="ttc" id="fft_8cl_xhtml_a565f17c6fe3e9462057bb523e0127280"><div class="ttname"><a href="fft_8cl.xhtml#a565f17c6fe3e9462057bb523e0127280">DFT_5</a></div><div class="ttdeci">#define DFT_5(c0, c1, c2, c3, c4)</div><div class="ttdoc">Computes radix-5 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00109">fft.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="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_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00144">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="fft_8cl_source.xhtml#l00109">DFT_5</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, and <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>.</p>
</div>
</div>
<a id="ab6b1ce916618012474a0fa938fa69c6c"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ab6b1ce916618012474a0fa938fa69c6c">&#9670;&nbsp;</a></span>fft_radix_7_axis_0()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_7_axis_0 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Nx</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Ni</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float&#160;</td>
<td class="paramname"><em>exp_const</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes a stage of a radix-7 FFT on axis 0. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Nx</td><td>The butterfly span. Products of radix order of previous radix's stage </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Ni</td><td>Nx * Ny. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">exp_const</td><td>Exponent constant </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l01451">1451</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l01459"></a><span class="lineno"> 1459</span>&#160;{</div><div class="line"><a name="l01460"></a><span class="lineno"> 1460</span>&#160; <span class="comment">// Each work-item computes a single radix-7</span></div><div class="line"><a name="l01461"></a><span class="lineno"> 1461</span>&#160; uint kx = get_global_id(0);</div><div class="line"><a name="l01462"></a><span class="lineno"> 1462</span>&#160;</div><div class="line"><a name="l01463"></a><span class="lineno"> 1463</span>&#160; <span class="comment">// Compute nx</span></div><div class="line"><a name="l01464"></a><span class="lineno"> 1464</span>&#160; uint nx = kx % Nx;</div><div class="line"><a name="l01465"></a><span class="lineno"> 1465</span>&#160;</div><div class="line"><a name="l01466"></a><span class="lineno"> 1466</span>&#160; <span class="comment">// Compute n index</span></div><div class="line"><a name="l01467"></a><span class="lineno"> 1467</span>&#160; uint n = nx + (kx / Nx) * Ni;</div><div class="line"><a name="l01468"></a><span class="lineno"> 1468</span>&#160;</div><div class="line"><a name="l01469"></a><span class="lineno"> 1469</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l01470"></a><span class="lineno"> 1470</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(input);</div><div class="line"><a name="l01471"></a><span class="lineno"> 1471</span>&#160; input.ptr += n * input.stride_x + get_global_id(1) * input.stride_y + get_global_id(2) * input.stride_z;</div><div class="line"><a name="l01472"></a><span class="lineno"> 1472</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l01473"></a><span class="lineno"> 1473</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l01474"></a><span class="lineno"> 1474</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l01475"></a><span class="lineno"> 1475</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(output);</div><div class="line"><a name="l01476"></a><span class="lineno"> 1476</span>&#160; output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += n * output.<a class="code" href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a> + get_global_id(1) * output.<a class="code" href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">stride_y</a> + get_global_id(2) * output.<a class="code" href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">stride_z</a>;</div><div class="line"><a name="l01477"></a><span class="lineno"> 1477</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l01478"></a><span class="lineno"> 1478</span>&#160;</div><div class="line"><a name="l01479"></a><span class="lineno"> 1479</span>&#160; <span class="comment">// Load seven complex input values</span></div><div class="line"><a name="l01480"></a><span class="lineno"> 1480</span>&#160; float2 c0 = vload2(0, (__global <span class="keywordtype">float</span> *)input.ptr);</div><div class="line"><a name="l01481"></a><span class="lineno"> 1481</span>&#160; float2 c1 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, Nx, 0, 0));</div><div class="line"><a name="l01482"></a><span class="lineno"> 1482</span>&#160; float2 c2 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 2 * Nx, 0, 0));</div><div class="line"><a name="l01483"></a><span class="lineno"> 1483</span>&#160; float2 c3 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 3 * Nx, 0, 0));</div><div class="line"><a name="l01484"></a><span class="lineno"> 1484</span>&#160; float2 c4 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 4 * Nx, 0, 0));</div><div class="line"><a name="l01485"></a><span class="lineno"> 1485</span>&#160; float2 c5 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 5 * Nx, 0, 0));</div><div class="line"><a name="l01486"></a><span class="lineno"> 1486</span>&#160; float2 c6 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 6 * Nx, 0, 0));</div><div class="line"><a name="l01487"></a><span class="lineno"> 1487</span>&#160;</div><div class="line"><a name="l01488"></a><span class="lineno"> 1488</span>&#160; <span class="comment">// Compute phi</span></div><div class="line"><a name="l01489"></a><span class="lineno"> 1489</span>&#160; <span class="keywordtype">float</span> phi = (float)nx * exp_const;</div><div class="line"><a name="l01490"></a><span class="lineno"> 1490</span>&#160;</div><div class="line"><a name="l01491"></a><span class="lineno"> 1491</span>&#160; <span class="comment">// Multiply by twiddle factor</span></div><div class="line"><a name="l01492"></a><span class="lineno"> 1492</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(phi, c1);</div><div class="line"><a name="l01493"></a><span class="lineno"> 1493</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(2 * phi, c2);</div><div class="line"><a name="l01494"></a><span class="lineno"> 1494</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(3 * phi, c3);</div><div class="line"><a name="l01495"></a><span class="lineno"> 1495</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(4 * phi, c4);</div><div class="line"><a name="l01496"></a><span class="lineno"> 1496</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(5 * phi, c5);</div><div class="line"><a name="l01497"></a><span class="lineno"> 1497</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(6 * phi, c6);</div><div class="line"><a name="l01498"></a><span class="lineno"> 1498</span>&#160;</div><div class="line"><a name="l01499"></a><span class="lineno"> 1499</span>&#160; <span class="comment">// Compute DFT N = 7</span></div><div class="line"><a name="l01500"></a><span class="lineno"> 1500</span>&#160; <a class="code" href="fft_8cl.xhtml#ad04a4028658f997aaca067742c2e8a49">DFT_7</a>(c0, c1, c2, c3, c4, c5, c6);</div><div class="line"><a name="l01501"></a><span class="lineno"> 1501</span>&#160;</div><div class="line"><a name="l01502"></a><span class="lineno"> 1502</span>&#160; <span class="comment">// Store seven complex output values</span></div><div class="line"><a name="l01503"></a><span class="lineno"> 1503</span>&#160; vstore2(c0, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l01504"></a><span class="lineno"> 1504</span>&#160; vstore2(c1, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, Nx, 0, 0));</div><div class="line"><a name="l01505"></a><span class="lineno"> 1505</span>&#160; vstore2(c2, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 2 * Nx, 0, 0));</div><div class="line"><a name="l01506"></a><span class="lineno"> 1506</span>&#160; vstore2(c3, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 3 * Nx, 0, 0));</div><div class="line"><a name="l01507"></a><span class="lineno"> 1507</span>&#160; vstore2(c4, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 4 * Nx, 0, 0));</div><div class="line"><a name="l01508"></a><span class="lineno"> 1508</span>&#160; vstore2(c5, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 5 * Nx, 0, 0));</div><div class="line"><a name="l01509"></a><span class="lineno"> 1509</span>&#160; vstore2(c6, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 6 * Nx, 0, 0));</div><div class="line"><a name="l01510"></a><span class="lineno"> 1510</span>&#160;}</div><div class="ttc" id="fft_8cl_xhtml_ad4dcc4a8b94f263cd19c59fdc2cec3d2"><div class="ttname"><a href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a></div><div class="ttdeci">#define TWIDDLE_FACTOR_MULTIPLICATION(phi, input)</div><div class="ttdoc">Calculates and applies the twiddle factor to a given input.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00031">fft.cl:31</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ad5ff7a2b2bd0eec50fe09c254b127d1c"><div class="ttname"><a href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">Tensor3D::stride_z</a></div><div class="ttdeci">int stride_z</div><div class="ttdoc">Stride of the image in Z dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">helpers.h:182</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ae01febbfd0689ef709f3ff6fdd2abc7e"><div class="ttname"><a href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">Tensor3D::stride_x</a></div><div class="ttdeci">int stride_x</div><div class="ttdoc">Stride of the image in X dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">helpers.h:180</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="fft_8cl_xhtml_ad04a4028658f997aaca067742c2e8a49"><div class="ttname"><a href="fft_8cl.xhtml#ad04a4028658f997aaca067742c2e8a49">DFT_7</a></div><div class="ttdeci">#define DFT_7(c0, c1, c2, c3, c4, c5, c6)</div><div class="ttdoc">Computes radix-7 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00142">fft.cl:142</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a79e8e562daa6599317d2d1cd86ef1bf2"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_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#l00148">helpers.h:148</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="struct_tensor3_d_xhtml_a4f0b90c9ecd6e57ceb3f37332fefe8f1"><div class="ttname"><a href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">Tensor3D::stride_y</a></div><div class="ttdeci">int stride_y</div><div class="ttdoc">Stride of the image in Y dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">helpers.h:181</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00148">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>, <a class="el" href="fft_8cl_source.xhtml#l00142">DFT_7</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">Tensor3D::stride_x</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">Tensor3D::stride_y</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">Tensor3D::stride_z</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>, and <a class="el" href="fft_8cl_source.xhtml#l00031">TWIDDLE_FACTOR_MULTIPLICATION</a>.</p>
</div>
</div>
<a id="a76f9319802469601e05d6624e9d8d67c"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a76f9319802469601e05d6624e9d8d67c">&#9670;&nbsp;</a></span>fft_radix_7_axis_1()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_7_axis_1 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Nx</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Ni</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float&#160;</td>
<td class="paramname"><em>exp_const</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes a stage of a radix-7 FFT on axis 1. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Nx</td><td>The butterfly span. Products of radix order of previous radix's stage </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Ni</td><td>Nx * Ny. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">exp_const</td><td>Exponent constant </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l01536">1536</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l01544"></a><span class="lineno"> 1544</span>&#160;{</div><div class="line"><a name="l01545"></a><span class="lineno"> 1545</span>&#160; <span class="comment">// Each work-item computes a single radix-7</span></div><div class="line"><a name="l01546"></a><span class="lineno"> 1546</span>&#160; uint kx = get_global_id(1);</div><div class="line"><a name="l01547"></a><span class="lineno"> 1547</span>&#160;</div><div class="line"><a name="l01548"></a><span class="lineno"> 1548</span>&#160; <span class="comment">// Compute nx</span></div><div class="line"><a name="l01549"></a><span class="lineno"> 1549</span>&#160; uint nx = kx % Nx;</div><div class="line"><a name="l01550"></a><span class="lineno"> 1550</span>&#160;</div><div class="line"><a name="l01551"></a><span class="lineno"> 1551</span>&#160; <span class="comment">// Compute n index</span></div><div class="line"><a name="l01552"></a><span class="lineno"> 1552</span>&#160; uint n = nx + (kx / Nx) * Ni;</div><div class="line"><a name="l01553"></a><span class="lineno"> 1553</span>&#160;</div><div class="line"><a name="l01554"></a><span class="lineno"> 1554</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l01555"></a><span class="lineno"> 1555</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(input);</div><div class="line"><a name="l01556"></a><span class="lineno"> 1556</span>&#160; input.ptr += get_global_id(0) * input.stride_x + n * input.stride_y + get_global_id(2) * input.stride_z;</div><div class="line"><a name="l01557"></a><span class="lineno"> 1557</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l01558"></a><span class="lineno"> 1558</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l01559"></a><span class="lineno"> 1559</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l01560"></a><span class="lineno"> 1560</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(output);</div><div class="line"><a name="l01561"></a><span class="lineno"> 1561</span>&#160; output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += get_global_id(0) * output.<a class="code" href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a> + n * output.<a class="code" href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">stride_y</a> + get_global_id(2) * output.<a class="code" href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">stride_z</a>;</div><div class="line"><a name="l01562"></a><span class="lineno"> 1562</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l01563"></a><span class="lineno"> 1563</span>&#160;</div><div class="line"><a name="l01564"></a><span class="lineno"> 1564</span>&#160; <span class="comment">// Load seven complex input values</span></div><div class="line"><a name="l01565"></a><span class="lineno"> 1565</span>&#160; float2 c0 = vload2(0, (__global <span class="keywordtype">float</span> *)input.ptr);</div><div class="line"><a name="l01566"></a><span class="lineno"> 1566</span>&#160; float2 c1 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, Nx, 0));</div><div class="line"><a name="l01567"></a><span class="lineno"> 1567</span>&#160; float2 c2 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 2 * Nx, 0));</div><div class="line"><a name="l01568"></a><span class="lineno"> 1568</span>&#160; float2 c3 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 3 * Nx, 0));</div><div class="line"><a name="l01569"></a><span class="lineno"> 1569</span>&#160; float2 c4 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 4 * Nx, 0));</div><div class="line"><a name="l01570"></a><span class="lineno"> 1570</span>&#160; float2 c5 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 5 * Nx, 0));</div><div class="line"><a name="l01571"></a><span class="lineno"> 1571</span>&#160; float2 c6 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 6 * Nx, 0));</div><div class="line"><a name="l01572"></a><span class="lineno"> 1572</span>&#160;</div><div class="line"><a name="l01573"></a><span class="lineno"> 1573</span>&#160; <span class="comment">// Compute phi</span></div><div class="line"><a name="l01574"></a><span class="lineno"> 1574</span>&#160; <span class="keywordtype">float</span> phi = (float)nx * exp_const;</div><div class="line"><a name="l01575"></a><span class="lineno"> 1575</span>&#160;</div><div class="line"><a name="l01576"></a><span class="lineno"> 1576</span>&#160; <span class="comment">// Multiply by twiddle factor</span></div><div class="line"><a name="l01577"></a><span class="lineno"> 1577</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(phi, c1);</div><div class="line"><a name="l01578"></a><span class="lineno"> 1578</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(2 * phi, c2);</div><div class="line"><a name="l01579"></a><span class="lineno"> 1579</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(3 * phi, c3);</div><div class="line"><a name="l01580"></a><span class="lineno"> 1580</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(4 * phi, c4);</div><div class="line"><a name="l01581"></a><span class="lineno"> 1581</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(5 * phi, c5);</div><div class="line"><a name="l01582"></a><span class="lineno"> 1582</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(6 * phi, c6);</div><div class="line"><a name="l01583"></a><span class="lineno"> 1583</span>&#160;</div><div class="line"><a name="l01584"></a><span class="lineno"> 1584</span>&#160; <span class="comment">// Compute DFT N = 7</span></div><div class="line"><a name="l01585"></a><span class="lineno"> 1585</span>&#160; <a class="code" href="fft_8cl.xhtml#ad04a4028658f997aaca067742c2e8a49">DFT_7</a>(c0, c1, c2, c3, c4, c5, c6);</div><div class="line"><a name="l01586"></a><span class="lineno"> 1586</span>&#160;</div><div class="line"><a name="l01587"></a><span class="lineno"> 1587</span>&#160; <span class="comment">// Store seven complex output values</span></div><div class="line"><a name="l01588"></a><span class="lineno"> 1588</span>&#160; vstore2(c0, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l01589"></a><span class="lineno"> 1589</span>&#160; vstore2(c1, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, Nx, 0));</div><div class="line"><a name="l01590"></a><span class="lineno"> 1590</span>&#160; vstore2(c2, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 2 * Nx, 0));</div><div class="line"><a name="l01591"></a><span class="lineno"> 1591</span>&#160; vstore2(c3, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 3 * Nx, 0));</div><div class="line"><a name="l01592"></a><span class="lineno"> 1592</span>&#160; vstore2(c4, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 4 * Nx, 0));</div><div class="line"><a name="l01593"></a><span class="lineno"> 1593</span>&#160; vstore2(c5, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 5 * Nx, 0));</div><div class="line"><a name="l01594"></a><span class="lineno"> 1594</span>&#160; vstore2(c6, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 6 * Nx, 0));</div><div class="line"><a name="l01595"></a><span class="lineno"> 1595</span>&#160;}</div><div class="ttc" id="fft_8cl_xhtml_ad4dcc4a8b94f263cd19c59fdc2cec3d2"><div class="ttname"><a href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a></div><div class="ttdeci">#define TWIDDLE_FACTOR_MULTIPLICATION(phi, input)</div><div class="ttdoc">Calculates and applies the twiddle factor to a given input.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00031">fft.cl:31</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ad5ff7a2b2bd0eec50fe09c254b127d1c"><div class="ttname"><a href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">Tensor3D::stride_z</a></div><div class="ttdeci">int stride_z</div><div class="ttdoc">Stride of the image in Z dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">helpers.h:182</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ae01febbfd0689ef709f3ff6fdd2abc7e"><div class="ttname"><a href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">Tensor3D::stride_x</a></div><div class="ttdeci">int stride_x</div><div class="ttdoc">Stride of the image in X dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">helpers.h:180</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="fft_8cl_xhtml_ad04a4028658f997aaca067742c2e8a49"><div class="ttname"><a href="fft_8cl.xhtml#ad04a4028658f997aaca067742c2e8a49">DFT_7</a></div><div class="ttdeci">#define DFT_7(c0, c1, c2, c3, c4, c5, c6)</div><div class="ttdoc">Computes radix-7 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00142">fft.cl:142</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a79e8e562daa6599317d2d1cd86ef1bf2"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_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#l00148">helpers.h:148</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="struct_tensor3_d_xhtml_a4f0b90c9ecd6e57ceb3f37332fefe8f1"><div class="ttname"><a href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">Tensor3D::stride_y</a></div><div class="ttdeci">int stride_y</div><div class="ttdoc">Stride of the image in Y dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">helpers.h:181</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00148">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>, <a class="el" href="fft_8cl_source.xhtml#l00142">DFT_7</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">Tensor3D::stride_x</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">Tensor3D::stride_y</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">Tensor3D::stride_z</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>, and <a class="el" href="fft_8cl_source.xhtml#l00031">TWIDDLE_FACTOR_MULTIPLICATION</a>.</p>
</div>
</div>
<a id="aba8f7b960aa49b876ac266447a78c416"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aba8f7b960aa49b876ac266447a78c416">&#9670;&nbsp;</a></span>fft_radix_7_first_stage_axis_0()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_7_first_stage_axis_0 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes the first stage of a radix-7 DFT on axis 0. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00634">634</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>&#160;{</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <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="l00648"></a><span class="lineno"> 648</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>&#160;</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>&#160; <span class="comment">// Load seven complex input values</span></div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>&#160; float8 data0 = vload8(0, (__global <span class="keywordtype">float</span> *)input.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>&#160; float4 data1 = vload4(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 4, 0, 0));</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>&#160; float2 data2 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 6, 0, 0));</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>&#160;</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>&#160; <span class="comment">// Compute DFT N = 7</span></div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>&#160; <a class="code" href="fft_8cl.xhtml#ad04a4028658f997aaca067742c2e8a49">DFT_7</a>(data0.s01, data0.s23, data0.s45, data0.s67, data1.s01, data1.s23, data2.s01);</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>&#160;</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>&#160; <span class="comment">// Store seven complex output values</span></div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>&#160; vstore8(data0, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>&#160; vstore4(data1, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 4, 0, 0));</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>&#160; vstore2(data2, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 6, 0, 0));</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>&#160;}</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="fft_8cl_xhtml_ad04a4028658f997aaca067742c2e8a49"><div class="ttname"><a href="fft_8cl.xhtml#ad04a4028658f997aaca067742c2e8a49">DFT_7</a></div><div class="ttdeci">#define DFT_7(c0, c1, c2, c3, c4, c5, c6)</div><div class="ttdoc">Computes radix-7 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00142">fft.cl:142</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="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_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00144">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="fft_8cl_source.xhtml#l00142">DFT_7</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, and <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>.</p>
</div>
</div>
<a id="a3f65de85962b99e35c4bd9abcbc7e660"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a3f65de85962b99e35c4bd9abcbc7e660">&#9670;&nbsp;</a></span>fft_radix_7_first_stage_axis_1()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_7_first_stage_axis_1 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes the first stage of a radix-7 DFT on axis 1. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00685">685</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>&#160;{</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <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="l00699"></a><span class="lineno"> 699</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>&#160;</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>&#160; <span class="comment">// Load seven complex input values</span></div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>&#160; float2 data0 = vload2(0, (__global <span class="keywordtype">float</span> *)input.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>&#160; float2 data1 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 1, 0));</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>&#160; float2 data2 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 2, 0));</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>&#160; float2 data3 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 3, 0));</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>&#160; float2 data4 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 4, 0));</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>&#160; float2 data5 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 5, 0));</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>&#160; float2 data6 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 6, 0));</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>&#160;</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>&#160; <span class="comment">// Compute DFT N = 7</span></div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>&#160; <a class="code" href="fft_8cl.xhtml#ad04a4028658f997aaca067742c2e8a49">DFT_7</a>(data0, data1, data2, data3, data4, data5, data6);</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>&#160;</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>&#160; <span class="comment">// Store seven complex output values</span></div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>&#160; vstore2(data0, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>&#160; vstore2(data1, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 1, 0));</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>&#160; vstore2(data2, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 2, 0));</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>&#160; vstore2(data3, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 3, 0));</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>&#160; vstore2(data4, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 4, 0));</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>&#160; vstore2(data5, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 5, 0));</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>&#160; vstore2(data6, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 6, 0));</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>&#160;}</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="fft_8cl_xhtml_ad04a4028658f997aaca067742c2e8a49"><div class="ttname"><a href="fft_8cl.xhtml#ad04a4028658f997aaca067742c2e8a49">DFT_7</a></div><div class="ttdeci">#define DFT_7(c0, c1, c2, c3, c4, c5, c6)</div><div class="ttdoc">Computes radix-7 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00142">fft.cl:142</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="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_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00144">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="fft_8cl_source.xhtml#l00142">DFT_7</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, and <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>.</p>
</div>
</div>
<a id="a73b5ddb25a62a1505d20c02aab7f69cd"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a73b5ddb25a62a1505d20c02aab7f69cd">&#9670;&nbsp;</a></span>fft_radix_8_axis_0()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_8_axis_0 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Nx</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Ni</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float&#160;</td>
<td class="paramname"><em>exp_const</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes a stage of a radix-8 FFT on axis 0. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Nx</td><td>The butterfly span. Products of radix order of previous radix's stage </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Ni</td><td>Nx * Ny. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">exp_const</td><td>Exponent constant </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l01621">1621</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l01629"></a><span class="lineno"> 1629</span>&#160;{</div><div class="line"><a name="l01630"></a><span class="lineno"> 1630</span>&#160; <span class="comment">// Each work-item computes a single radix-8</span></div><div class="line"><a name="l01631"></a><span class="lineno"> 1631</span>&#160; uint kx = get_global_id(0);</div><div class="line"><a name="l01632"></a><span class="lineno"> 1632</span>&#160;</div><div class="line"><a name="l01633"></a><span class="lineno"> 1633</span>&#160; <span class="comment">// Compute nx</span></div><div class="line"><a name="l01634"></a><span class="lineno"> 1634</span>&#160; uint nx = kx % Nx;</div><div class="line"><a name="l01635"></a><span class="lineno"> 1635</span>&#160;</div><div class="line"><a name="l01636"></a><span class="lineno"> 1636</span>&#160; <span class="comment">// Compute n index</span></div><div class="line"><a name="l01637"></a><span class="lineno"> 1637</span>&#160; uint n = nx + (kx / Nx) * Ni;</div><div class="line"><a name="l01638"></a><span class="lineno"> 1638</span>&#160;</div><div class="line"><a name="l01639"></a><span class="lineno"> 1639</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l01640"></a><span class="lineno"> 1640</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(input);</div><div class="line"><a name="l01641"></a><span class="lineno"> 1641</span>&#160; input.ptr += n * input.stride_x + get_global_id(1) * input.stride_y + get_global_id(2) * input.stride_z;</div><div class="line"><a name="l01642"></a><span class="lineno"> 1642</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l01643"></a><span class="lineno"> 1643</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l01644"></a><span class="lineno"> 1644</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l01645"></a><span class="lineno"> 1645</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(output);</div><div class="line"><a name="l01646"></a><span class="lineno"> 1646</span>&#160; output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += n * output.<a class="code" href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a> + get_global_id(1) * output.<a class="code" href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">stride_y</a> + get_global_id(2) * output.<a class="code" href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">stride_z</a>;</div><div class="line"><a name="l01647"></a><span class="lineno"> 1647</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l01648"></a><span class="lineno"> 1648</span>&#160;</div><div class="line"><a name="l01649"></a><span class="lineno"> 1649</span>&#160; <span class="comment">// Load eight complex input values</span></div><div class="line"><a name="l01650"></a><span class="lineno"> 1650</span>&#160; float2 c0 = vload2(0, (__global <span class="keywordtype">float</span> *)input.ptr);</div><div class="line"><a name="l01651"></a><span class="lineno"> 1651</span>&#160; float2 c1 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, Nx, 0, 0));</div><div class="line"><a name="l01652"></a><span class="lineno"> 1652</span>&#160; float2 c2 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 2 * Nx, 0, 0));</div><div class="line"><a name="l01653"></a><span class="lineno"> 1653</span>&#160; float2 c3 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 3 * Nx, 0, 0));</div><div class="line"><a name="l01654"></a><span class="lineno"> 1654</span>&#160; float2 c4 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 4 * Nx, 0, 0));</div><div class="line"><a name="l01655"></a><span class="lineno"> 1655</span>&#160; float2 c5 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 5 * Nx, 0, 0));</div><div class="line"><a name="l01656"></a><span class="lineno"> 1656</span>&#160; float2 c6 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 6 * Nx, 0, 0));</div><div class="line"><a name="l01657"></a><span class="lineno"> 1657</span>&#160; float2 c7 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 7 * Nx, 0, 0));</div><div class="line"><a name="l01658"></a><span class="lineno"> 1658</span>&#160;</div><div class="line"><a name="l01659"></a><span class="lineno"> 1659</span>&#160; <span class="comment">// Compute phi</span></div><div class="line"><a name="l01660"></a><span class="lineno"> 1660</span>&#160; <span class="keywordtype">float</span> phi = (float)nx * exp_const;</div><div class="line"><a name="l01661"></a><span class="lineno"> 1661</span>&#160;</div><div class="line"><a name="l01662"></a><span class="lineno"> 1662</span>&#160; <span class="comment">// Multiply by twiddle factor</span></div><div class="line"><a name="l01663"></a><span class="lineno"> 1663</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(phi, c1);</div><div class="line"><a name="l01664"></a><span class="lineno"> 1664</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(2 * phi, c2);</div><div class="line"><a name="l01665"></a><span class="lineno"> 1665</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(3 * phi, c3);</div><div class="line"><a name="l01666"></a><span class="lineno"> 1666</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(4 * phi, c4);</div><div class="line"><a name="l01667"></a><span class="lineno"> 1667</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(5 * phi, c5);</div><div class="line"><a name="l01668"></a><span class="lineno"> 1668</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(6 * phi, c6);</div><div class="line"><a name="l01669"></a><span class="lineno"> 1669</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(7 * phi, c7);</div><div class="line"><a name="l01670"></a><span class="lineno"> 1670</span>&#160;</div><div class="line"><a name="l01671"></a><span class="lineno"> 1671</span>&#160; <span class="comment">// Compute DFT N = 8</span></div><div class="line"><a name="l01672"></a><span class="lineno"> 1672</span>&#160; <a class="code" href="fft_8cl.xhtml#a4c4ce3f10939dd4237d0adee00086a53">DFT_8</a>(c0, c1, c2, c3, c4, c5, c6, c7);</div><div class="line"><a name="l01673"></a><span class="lineno"> 1673</span>&#160;</div><div class="line"><a name="l01674"></a><span class="lineno"> 1674</span>&#160; <span class="comment">// Store eight complex output values</span></div><div class="line"><a name="l01675"></a><span class="lineno"> 1675</span>&#160; vstore2(c0, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l01676"></a><span class="lineno"> 1676</span>&#160; vstore2(c1, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, Nx, 0, 0));</div><div class="line"><a name="l01677"></a><span class="lineno"> 1677</span>&#160; vstore2(c2, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 2 * Nx, 0, 0));</div><div class="line"><a name="l01678"></a><span class="lineno"> 1678</span>&#160; vstore2(c3, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 3 * Nx, 0, 0));</div><div class="line"><a name="l01679"></a><span class="lineno"> 1679</span>&#160; vstore2(c4, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 4 * Nx, 0, 0));</div><div class="line"><a name="l01680"></a><span class="lineno"> 1680</span>&#160; vstore2(c5, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 5 * Nx, 0, 0));</div><div class="line"><a name="l01681"></a><span class="lineno"> 1681</span>&#160; vstore2(c6, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 6 * Nx, 0, 0));</div><div class="line"><a name="l01682"></a><span class="lineno"> 1682</span>&#160; vstore2(c7, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 7 * Nx, 0, 0));</div><div class="line"><a name="l01683"></a><span class="lineno"> 1683</span>&#160;}</div><div class="ttc" id="fft_8cl_xhtml_ad4dcc4a8b94f263cd19c59fdc2cec3d2"><div class="ttname"><a href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a></div><div class="ttdeci">#define TWIDDLE_FACTOR_MULTIPLICATION(phi, input)</div><div class="ttdoc">Calculates and applies the twiddle factor to a given input.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00031">fft.cl:31</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ad5ff7a2b2bd0eec50fe09c254b127d1c"><div class="ttname"><a href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">Tensor3D::stride_z</a></div><div class="ttdeci">int stride_z</div><div class="ttdoc">Stride of the image in Z dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">helpers.h:182</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ae01febbfd0689ef709f3ff6fdd2abc7e"><div class="ttname"><a href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">Tensor3D::stride_x</a></div><div class="ttdeci">int stride_x</div><div class="ttdoc">Stride of the image in X dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">helpers.h:180</a></div></div>
<div class="ttc" id="fft_8cl_xhtml_a4c4ce3f10939dd4237d0adee00086a53"><div class="ttname"><a href="fft_8cl.xhtml#a4c4ce3f10939dd4237d0adee00086a53">DFT_8</a></div><div class="ttdeci">#define DFT_8(c0, c1, c2, c3, c4, c5, c6, c7)</div><div class="ttdoc">Computes radix-8 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00172">fft.cl:172</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_a79e8e562daa6599317d2d1cd86ef1bf2"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_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#l00148">helpers.h:148</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="struct_tensor3_d_xhtml_a4f0b90c9ecd6e57ceb3f37332fefe8f1"><div class="ttname"><a href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">Tensor3D::stride_y</a></div><div class="ttdeci">int stride_y</div><div class="ttdoc">Stride of the image in Y dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">helpers.h:181</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00148">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>, <a class="el" href="fft_8cl_source.xhtml#l00172">DFT_8</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">Tensor3D::stride_x</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">Tensor3D::stride_y</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">Tensor3D::stride_z</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>, and <a class="el" href="fft_8cl_source.xhtml#l00031">TWIDDLE_FACTOR_MULTIPLICATION</a>.</p>
</div>
</div>
<a id="aa056502bc3783dce7428acc17ce9ee94"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aa056502bc3783dce7428acc17ce9ee94">&#9670;&nbsp;</a></span>fft_radix_8_axis_1()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_8_axis_1 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Nx</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>Ni</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float&#160;</td>
<td class="paramname"><em>exp_const</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes a stage of a radix-8 FFT on axis 1. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Nx</td><td>The butterfly span. Products of radix order of previous radix's stage </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">Ni</td><td>Nx * Ny. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">exp_const</td><td>Exponent constant </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l01709">1709</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l01717"></a><span class="lineno"> 1717</span>&#160;{</div><div class="line"><a name="l01718"></a><span class="lineno"> 1718</span>&#160; <span class="comment">// Each work-item computes a single radix-8</span></div><div class="line"><a name="l01719"></a><span class="lineno"> 1719</span>&#160; uint kx = get_global_id(1);</div><div class="line"><a name="l01720"></a><span class="lineno"> 1720</span>&#160;</div><div class="line"><a name="l01721"></a><span class="lineno"> 1721</span>&#160; <span class="comment">// Compute nx</span></div><div class="line"><a name="l01722"></a><span class="lineno"> 1722</span>&#160; uint nx = kx % Nx;</div><div class="line"><a name="l01723"></a><span class="lineno"> 1723</span>&#160;</div><div class="line"><a name="l01724"></a><span class="lineno"> 1724</span>&#160; <span class="comment">// Compute n index</span></div><div class="line"><a name="l01725"></a><span class="lineno"> 1725</span>&#160; uint n = nx + (kx / Nx) * Ni;</div><div class="line"><a name="l01726"></a><span class="lineno"> 1726</span>&#160;</div><div class="line"><a name="l01727"></a><span class="lineno"> 1727</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l01728"></a><span class="lineno"> 1728</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(input);</div><div class="line"><a name="l01729"></a><span class="lineno"> 1729</span>&#160; input.ptr += get_global_id(0) * input.stride_x + n * input.stride_y + get_global_id(2) * input.stride_z;</div><div class="line"><a name="l01730"></a><span class="lineno"> 1730</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l01731"></a><span class="lineno"> 1731</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l01732"></a><span class="lineno"> 1732</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l01733"></a><span class="lineno"> 1733</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(output);</div><div class="line"><a name="l01734"></a><span class="lineno"> 1734</span>&#160; output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> += get_global_id(0) * output.<a class="code" href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a> + n * output.<a class="code" href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">stride_y</a> + get_global_id(2) * output.<a class="code" href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">stride_z</a>;</div><div class="line"><a name="l01735"></a><span class="lineno"> 1735</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l01736"></a><span class="lineno"> 1736</span>&#160;</div><div class="line"><a name="l01737"></a><span class="lineno"> 1737</span>&#160; <span class="comment">// Load eight complex input values</span></div><div class="line"><a name="l01738"></a><span class="lineno"> 1738</span>&#160; float2 c0 = vload2(0, (__global <span class="keywordtype">float</span> *)input.ptr);</div><div class="line"><a name="l01739"></a><span class="lineno"> 1739</span>&#160; float2 c1 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, Nx, 0));</div><div class="line"><a name="l01740"></a><span class="lineno"> 1740</span>&#160; float2 c2 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 2 * Nx, 0));</div><div class="line"><a name="l01741"></a><span class="lineno"> 1741</span>&#160; float2 c3 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 3 * Nx, 0));</div><div class="line"><a name="l01742"></a><span class="lineno"> 1742</span>&#160; float2 c4 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 4 * Nx, 0));</div><div class="line"><a name="l01743"></a><span class="lineno"> 1743</span>&#160; float2 c5 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 5 * Nx, 0));</div><div class="line"><a name="l01744"></a><span class="lineno"> 1744</span>&#160; float2 c6 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 6 * Nx, 0));</div><div class="line"><a name="l01745"></a><span class="lineno"> 1745</span>&#160; float2 c7 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 7 * Nx, 0));</div><div class="line"><a name="l01746"></a><span class="lineno"> 1746</span>&#160;</div><div class="line"><a name="l01747"></a><span class="lineno"> 1747</span>&#160; <span class="comment">// Compute phi</span></div><div class="line"><a name="l01748"></a><span class="lineno"> 1748</span>&#160; <span class="keywordtype">float</span> phi = (float)nx * exp_const;</div><div class="line"><a name="l01749"></a><span class="lineno"> 1749</span>&#160;</div><div class="line"><a name="l01750"></a><span class="lineno"> 1750</span>&#160; <span class="comment">// Multiply by twiddle factor</span></div><div class="line"><a name="l01751"></a><span class="lineno"> 1751</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(phi, c1);</div><div class="line"><a name="l01752"></a><span class="lineno"> 1752</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(2 * phi, c2);</div><div class="line"><a name="l01753"></a><span class="lineno"> 1753</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(3 * phi, c3);</div><div class="line"><a name="l01754"></a><span class="lineno"> 1754</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(4 * phi, c4);</div><div class="line"><a name="l01755"></a><span class="lineno"> 1755</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(5 * phi, c5);</div><div class="line"><a name="l01756"></a><span class="lineno"> 1756</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(6 * phi, c6);</div><div class="line"><a name="l01757"></a><span class="lineno"> 1757</span>&#160; <a class="code" href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a>(7 * phi, c7);</div><div class="line"><a name="l01758"></a><span class="lineno"> 1758</span>&#160;</div><div class="line"><a name="l01759"></a><span class="lineno"> 1759</span>&#160; <span class="comment">// Compute DFT N = 8</span></div><div class="line"><a name="l01760"></a><span class="lineno"> 1760</span>&#160; <a class="code" href="fft_8cl.xhtml#a4c4ce3f10939dd4237d0adee00086a53">DFT_8</a>(c0, c1, c2, c3, c4, c5, c6, c7);</div><div class="line"><a name="l01761"></a><span class="lineno"> 1761</span>&#160;</div><div class="line"><a name="l01762"></a><span class="lineno"> 1762</span>&#160; <span class="comment">// Store eight complex output values</span></div><div class="line"><a name="l01763"></a><span class="lineno"> 1763</span>&#160; vstore2(c0, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l01764"></a><span class="lineno"> 1764</span>&#160; vstore2(c1, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, Nx, 0));</div><div class="line"><a name="l01765"></a><span class="lineno"> 1765</span>&#160; vstore2(c2, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 2 * Nx, 0));</div><div class="line"><a name="l01766"></a><span class="lineno"> 1766</span>&#160; vstore2(c3, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 3 * Nx, 0));</div><div class="line"><a name="l01767"></a><span class="lineno"> 1767</span>&#160; vstore2(c4, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 4 * Nx, 0));</div><div class="line"><a name="l01768"></a><span class="lineno"> 1768</span>&#160; vstore2(c5, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 5 * Nx, 0));</div><div class="line"><a name="l01769"></a><span class="lineno"> 1769</span>&#160; vstore2(c6, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 6 * Nx, 0));</div><div class="line"><a name="l01770"></a><span class="lineno"> 1770</span>&#160; vstore2(c7, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 7 * Nx, 0));</div><div class="line"><a name="l01771"></a><span class="lineno"> 1771</span>&#160;}</div><div class="ttc" id="fft_8cl_xhtml_ad4dcc4a8b94f263cd19c59fdc2cec3d2"><div class="ttname"><a href="fft_8cl.xhtml#ad4dcc4a8b94f263cd19c59fdc2cec3d2">TWIDDLE_FACTOR_MULTIPLICATION</a></div><div class="ttdeci">#define TWIDDLE_FACTOR_MULTIPLICATION(phi, input)</div><div class="ttdoc">Calculates and applies the twiddle factor to a given input.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00031">fft.cl:31</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ad5ff7a2b2bd0eec50fe09c254b127d1c"><div class="ttname"><a href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">Tensor3D::stride_z</a></div><div class="ttdeci">int stride_z</div><div class="ttdoc">Stride of the image in Z dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">helpers.h:182</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ae01febbfd0689ef709f3ff6fdd2abc7e"><div class="ttname"><a href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">Tensor3D::stride_x</a></div><div class="ttdeci">int stride_x</div><div class="ttdoc">Stride of the image in X dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">helpers.h:180</a></div></div>
<div class="ttc" id="fft_8cl_xhtml_a4c4ce3f10939dd4237d0adee00086a53"><div class="ttname"><a href="fft_8cl.xhtml#a4c4ce3f10939dd4237d0adee00086a53">DFT_8</a></div><div class="ttdeci">#define DFT_8(c0, c1, c2, c3, c4, c5, c6, c7)</div><div class="ttdoc">Computes radix-8 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00172">fft.cl:172</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_a79e8e562daa6599317d2d1cd86ef1bf2"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_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#l00148">helpers.h:148</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="struct_tensor3_d_xhtml_a4f0b90c9ecd6e57ceb3f37332fefe8f1"><div class="ttname"><a href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">Tensor3D::stride_y</a></div><div class="ttdeci">int stride_y</div><div class="ttdoc">Stride of the image in Y dimension (in bytes)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">helpers.h:181</a></div></div>
<div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00148">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>, <a class="el" href="fft_8cl_source.xhtml#l00172">DFT_8</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00180">Tensor3D::stride_x</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00181">Tensor3D::stride_y</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00182">Tensor3D::stride_z</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>, and <a class="el" href="fft_8cl_source.xhtml#l00031">TWIDDLE_FACTOR_MULTIPLICATION</a>.</p>
</div>
</div>
<a id="a008d11872b90493790f933f82c9f05b5"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a008d11872b90493790f933f82c9f05b5">&#9670;&nbsp;</a></span>fft_radix_8_first_stage_axis_0()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_8_first_stage_axis_0 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes the first stage of a radix-8 DFT on axis 0. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00744">744</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>&#160;{</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <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="l00758"></a><span class="lineno"> 758</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>&#160;</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>&#160; <span class="comment">// Load eight complex input values</span></div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>&#160; float16 data = vload16(0, (__global <span class="keywordtype">float</span> *)input.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>&#160;</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>&#160; <span class="comment">// Compute DFT N = 8</span></div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>&#160; <a class="code" href="fft_8cl.xhtml#a4c4ce3f10939dd4237d0adee00086a53">DFT_8</a>(data.s01, data.s23, data.s45, data.s67, data.s89, data.sAB, data.sCD, data.sEF);</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>&#160;</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>&#160; <span class="comment">// Store eight complex output values</span></div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>&#160; vstore16(data, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>&#160;}</div><div class="ttc" id="fft_8cl_xhtml_a4c4ce3f10939dd4237d0adee00086a53"><div class="ttname"><a href="fft_8cl.xhtml#a4c4ce3f10939dd4237d0adee00086a53">DFT_8</a></div><div class="ttdeci">#define DFT_8(c0, c1, c2, c3, c4, c5, c6, c7)</div><div class="ttdoc">Computes radix-8 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00172">fft.cl:172</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="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><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00144">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="fft_8cl_source.xhtml#l00172">DFT_8</a>, and <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>.</p>
</div>
</div>
<a id="a76f788853ef70fc0220ae4bb55db6d11"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a76f788853ef70fc0220ae4bb55db6d11">&#9670;&nbsp;</a></span>fft_radix_8_first_stage_axis_1()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">kernel void fft_radix_8_first_stage_axis_1 </td>
<td>(</td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>input_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">__global uchar *&#160;</td>
<td class="paramname"><em>output_ptr</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_stride_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_step_z</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint&#160;</td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Computes the first stage of a radix-8 DFT on axis 1. </p>
<dl class="section note"><dt>Note</dt><dd>In order to perform the FFT function "in-place", the pre-processor -DIN_PLACE must be passed at compile time</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_ptr</td><td>Pointer to the source tensor. Supported data types: F32 </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_x</td><td>Stride of the source tensor in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_y</td><td>Stride of the source tensor in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source tensor </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>(Optional) Pointer to the destination image. Supported data types: same as <code>input_ptr</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>(Optional) Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>(Optional) output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>(Optional) Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>(Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>(Optional) Stride of the source tensor in Z dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>(Optional) output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>(Optional) The offset of the first element in the destination image </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="fft_8cl_source.xhtml#l00791">791</a> of file <a class="el" href="fft_8cl_source.xhtml">fft.cl</a>.</p>
<div class="fragment"><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>&#160;{</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span>&#160; <span class="comment">// Get tensor pointers</span></div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span>&#160;<span class="preprocessor">#ifdef IN_PLACE</span></div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = input;</div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span>&#160; <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <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="l00805"></a><span class="lineno"> 805</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* IN_PLACE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span>&#160;</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span>&#160; <span class="comment">// Load eight complex input values</span></div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>&#160; float2 data0 = vload2(0, (__global <span class="keywordtype">float</span> *)input.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span>&#160; float2 data1 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 1, 0));</div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span>&#160; float2 data2 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 2, 0));</div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span>&#160; float2 data3 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 3, 0));</div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span>&#160; float2 data4 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 4, 0));</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>&#160; float2 data5 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 5, 0));</div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>&#160; float2 data6 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 6, 0));</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span>&#160; float2 data7 = vload2(0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, 7, 0));</div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span>&#160;</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span>&#160; <span class="comment">// Compute DFT N = 8</span></div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span>&#160; <a class="code" href="fft_8cl.xhtml#a4c4ce3f10939dd4237d0adee00086a53">DFT_8</a>(data0, data1, data2, data3, data4, data5, data6, data7);</div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>&#160;</div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span>&#160; <span class="comment">// Store eight complex output values</span></div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>&#160; vstore2(data0, 0, (__global <span class="keywordtype">float</span> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>&#160; vstore2(data1, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 1, 0));</div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>&#160; vstore2(data2, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 2, 0));</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>&#160; vstore2(data3, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 3, 0));</div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span>&#160; vstore2(data4, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 4, 0));</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>&#160; vstore2(data5, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 5, 0));</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span>&#160; vstore2(data6, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 6, 0));</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span>&#160; vstore2(data7, 0, (__global <span class="keywordtype">float</span> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;output, 0, 7, 0));</div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>&#160;}</div><div class="ttc" id="fft_8cl_xhtml_a4c4ce3f10939dd4237d0adee00086a53"><div class="ttname"><a href="fft_8cl.xhtml#a4c4ce3f10939dd4237d0adee00086a53">DFT_8</a></div><div class="ttdeci">#define DFT_8(c0, c1, c2, c3, c4, c5, c6, c7)</div><div class="ttdoc">Computes radix-8 butterfly unit.</div><div class="ttdef"><b>Definition:</b> <a href="fft_8cl_source.xhtml#l00172">fft.cl:172</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="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_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">helpers.h:340</a></div></div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00144">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="fft_8cl_source.xhtml#l00172">DFT_8</a>, <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00178">Tensor3D::ptr</a>, and <a class="el" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00340">tensor3D_offset()</a>.</p>
</div>
</div>
</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="fft_8cl.xhtml">fft.cl</a></li>
<li class="footer">Generated on Mon Sep 2 2019 11:47:29 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>