| <!-- 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: INEWinogradLayerTransformOutputKernel< T > Class Template 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&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"> |
|  <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&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&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&dn=gpl-2.0.txt GPL-v2 */ |
| $(document).ready(function(){initNavTree('classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.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="#pub-methods">Public Member Functions</a> </div> |
| <div class="headertitle"> |
| <div class="title">INEWinogradLayerTransformOutputKernel< T > Class Template Reference<span class="mlabels"><span class="mlabel">abstract</span></span></div> </div> |
| </div><!--header--> |
| <div class="contents"> |
| |
| <p>Interface for the NEON kernel to perform Winograd output transform. |
| <a href="classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml">NEWinogradConvolutionLayerKernel.h</a>></code></p> |
| <div class="dynheader"> |
| Collaboration diagram for INEWinogradLayerTransformOutputKernel< T >:</div> |
| <div class="dyncontent"> |
| <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel__coll__graph.svg" width="211" height="202"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe> |
| </div> |
| <center><span class="legend">[<a target="top" href="graph_legend.xhtml">legend</a>]</span></center></div> |
| <table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> |
| Public Member Functions</h2></td></tr> |
| <tr class="memitem:adf88b409a140a439b6e5479da2f4cb1f"><td class="memItemLeft" align="right" valign="top">virtual unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#adf88b409a140a439b6e5479da2f4cb1f">get_working_space_size</a> (unsigned int num_threads) const =0</td></tr> |
| <tr class="memdesc:adf88b409a140a439b6e5479da2f4cb1f"><td class="mdescLeft"> </td><td class="mdescRight">Get the working space required to perform the transformation. <a href="#adf88b409a140a439b6e5479da2f4cb1f">More...</a><br /></td></tr> |
| <tr class="separator:adf88b409a140a439b6e5479da2f4cb1f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a638d7da59618abe59378576a0ef76929"><td class="memItemLeft" align="right" valign="top">virtual unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#a638d7da59618abe59378576a0ef76929">get_output_storage_size</a> (int num_batches, int num_rows, int num_cols, int num_output_channels, bool same_padding) const =0</td></tr> |
| <tr class="memdesc:a638d7da59618abe59378576a0ef76929"><td class="mdescLeft"> </td><td class="mdescRight">Determine how much memory (in units of TOut) to allocate for the (Winograd domain) output. <a href="#a638d7da59618abe59378576a0ef76929">More...</a><br /></td></tr> |
| <tr class="separator:a638d7da59618abe59378576a0ef76929"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae25b6ed77179808984b17c39e078ad96"><td class="memItemLeft" align="right" valign="top">virtual int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#ae25b6ed77179808984b17c39e078ad96">get_matrix_stride</a> (const KernelShape &kernel_shape, const Tensor4DShape &input_shape, const PaddingType padding_type) const =0</td></tr> |
| <tr class="memdesc:ae25b6ed77179808984b17c39e078ad96"><td class="mdescLeft"> </td><td class="mdescRight">Gets the stride between matrices in the output worspace. <a href="#ae25b6ed77179808984b17c39e078ad96">More...</a><br /></td></tr> |
| <tr class="separator:ae25b6ed77179808984b17c39e078ad96"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a10f4ee28637f13bfbfa0ec1f13972ac1"><td class="memItemLeft" align="right" valign="top">virtual Tensor4DShape </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#a10f4ee28637f13bfbfa0ec1f13972ac1">get_output_shape</a> (const KernelShape &kernel_shape, const Tensor4DShape &in_shape, const PaddingType padding) const =0</td></tr> |
| <tr class="memdesc:a10f4ee28637f13bfbfa0ec1f13972ac1"><td class="mdescLeft"> </td><td class="mdescRight">Get the output shape of a convolution. <a href="#a10f4ee28637f13bfbfa0ec1f13972ac1">More...</a><br /></td></tr> |
| <tr class="separator:a10f4ee28637f13bfbfa0ec1f13972ac1"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab8058b6dab77eab1e7554434f79d84b6"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#ab8058b6dab77eab1e7554434f79d84b6">configure</a> (const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *biases, const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *transformed_output, const int matrix_stride, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output_nhwc, const int num_batches, const int num_rows, const int num_cols, const int num_channels, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *workspace)=0</td></tr> |
| <tr class="memdesc:ab8058b6dab77eab1e7554434f79d84b6"><td class="mdescLeft"> </td><td class="mdescRight">Configure the output transform kernel. <a href="#ab8058b6dab77eab1e7554434f79d84b6">More...</a><br /></td></tr> |
| <tr class="separator:ab8058b6dab77eab1e7554434f79d84b6"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0bda64948b232256769698cde90fcdb0"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#a0bda64948b232256769698cde90fcdb0">~INEWinogradLayerTransformOutputKernel</a> ()</td></tr> |
| <tr class="separator:a0bda64948b232256769698cde90fcdb0"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_c_p_p_kernel')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">ICPPKernel</a></td></tr> |
| <tr class="memitem:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a033d17a97e07cea7fe83eefcf23540f6">~ICPPKernel</a> ()=default</td></tr> |
| <tr class="memdesc:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Default destructor. <a href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a033d17a97e07cea7fe83eefcf23540f6">More...</a><br /></td></tr> |
| <tr class="separator:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af814ff5e96f40f1cccf809b2b4ee19ef inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#af814ff5e96f40f1cccf809b2b4ee19ef">run</a> (const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, const <a class="el" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &info)=0</td></tr> |
| <tr class="memdesc:af814ff5e96f40f1cccf809b2b4ee19ef inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Execute the kernel on the passed window. <a href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#af814ff5e96f40f1cccf809b2b4ee19ef">More...</a><br /></td></tr> |
| <tr class="separator:af814ff5e96f40f1cccf809b2b4ee19ef inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a1a30ad8f276a2310571c36239554831a inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memItemLeft" align="right" valign="top">virtual const char * </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a1a30ad8f276a2310571c36239554831a">name</a> () const =0</td></tr> |
| <tr class="memdesc:a1a30ad8f276a2310571c36239554831a inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Name of the kernel. <a href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a1a30ad8f276a2310571c36239554831a">More...</a><br /></td></tr> |
| <tr class="separator:a1a30ad8f276a2310571c36239554831a inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1_i_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_kernel')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml">IKernel</a></td></tr> |
| <tr class="memitem:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">IKernel</a> ()</td></tr> |
| <tr class="memdesc:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">More...</a><br /></td></tr> |
| <tr class="separator:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">~IKernel</a> ()=default</td></tr> |
| <tr class="memdesc:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Destructor. <a href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">More...</a><br /></td></tr> |
| <tr class="separator:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b">is_parallelisable</a> () const</td></tr> |
| <tr class="memdesc:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Indicates whether or not the kernel is parallelisable. <a href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b">More...</a><br /></td></tr> |
| <tr class="separator:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd">border_size</a> () const</td></tr> |
| <tr class="memdesc:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">The size of the border for that kernel. <a href="classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd">More...</a><br /></td></tr> |
| <tr class="separator:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a> () const</td></tr> |
| <tr class="memdesc:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">The maximum window the kernel can be executed on. <a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">More...</a><br /></td></tr> |
| <tr class="separator:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><h3>template<typename T><br /> |
| class arm_compute::INEWinogradLayerTransformOutputKernel< T ></h3> |
| |
| <p>Interface for the NEON kernel to perform Winograd output transform. </p> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00222">222</a> of file <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml">NEWinogradConvolutionLayerKernel.h</a>.</p> |
| </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a id="a0bda64948b232256769698cde90fcdb0"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a0bda64948b232256769698cde90fcdb0">◆ </a></span>~INEWinogradLayerTransformOutputKernel()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">virtual ~<a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml">INEWinogradLayerTransformOutputKernel</a> </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00293">293</a> of file <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml">NEWinogradConvolutionLayerKernel.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  {</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a id="ab8058b6dab77eab1e7554434f79d84b6"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ab8058b6dab77eab1e7554434f79d84b6">◆ </a></span>configure()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">virtual void configure </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>biases</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>transformed_output</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int </td> |
| <td class="paramname"><em>matrix_stride</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>output_nhwc</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int </td> |
| <td class="paramname"><em>num_batches</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int </td> |
| <td class="paramname"><em>num_rows</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int </td> |
| <td class="paramname"><em>num_cols</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int </td> |
| <td class="paramname"><em>num_channels</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> * </td> |
| <td class="paramname"><em>workspace</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Configure the output transform kernel. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">biases</td><td>Pointer to the biases tensor. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">transformed_output</td><td>Pointer to working space for the output tensor in the Winograd domain. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">matrix_stride</td><td>Output matrix stride, can be computed with winograd::WinogradGEMM<2, 2, 3, 3>::Convolution<float, float>::get_output_matrix_stride() </td></tr> |
| <tr><td class="paramdir">[out]</td><td class="paramname">output_nhwc</td><td>Pointer to a tensor in NHWC data layout ordered output tensor, in the spatial domain. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">num_batches</td><td>Number of batches in the input tensor. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">num_rows</td><td>Number of rows in output tensor. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">num_cols</td><td>Number of columns in output tensor. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>Number of feature maps in the output tensor. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">workspace</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface.">Tensor</a> to be used as the working space during the computation. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p>Implemented in <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#ad19a40132fc8ebdb217819c865c5ad0d">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>.</p> |
| |
| </div> |
| </div> |
| <a id="ae25b6ed77179808984b17c39e078ad96"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ae25b6ed77179808984b17c39e078ad96">◆ </a></span>get_matrix_stride()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">virtual int get_matrix_stride </td> |
| <td>(</td> |
| <td class="paramtype">const KernelShape & </td> |
| <td class="paramname"><em>kernel_shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const Tensor4DShape & </td> |
| <td class="paramname"><em>input_shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const PaddingType </td> |
| <td class="paramname"><em>padding_type</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Gets the stride between matrices in the output worspace. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">kernel_shape</td><td>The shape of the weights tensor. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_shape</td><td>The shape of the input tensor. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">padding_type</td><td>The type of padding to be used.</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Stride expressed in bytes. </dd></dl> |
| |
| <p>Implemented in <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#ae18e3efe8200578009c1f7a15a4a2fa0">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>.</p> |
| |
| </div> |
| </div> |
| <a id="a10f4ee28637f13bfbfa0ec1f13972ac1"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a10f4ee28637f13bfbfa0ec1f13972ac1">◆ </a></span>get_output_shape()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">virtual Tensor4DShape get_output_shape </td> |
| <td>(</td> |
| <td class="paramtype">const KernelShape & </td> |
| <td class="paramname"><em>kernel_shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const Tensor4DShape & </td> |
| <td class="paramname"><em>in_shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const PaddingType </td> |
| <td class="paramname"><em>padding</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Get the output shape of a convolution. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">kernel_shape</td><td>The shape of the weights tensor. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">in_shape</td><td>The shape of the input tensor. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>The type of padding to be used.</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Stride expressed in bytes. </dd></dl> |
| |
| <p>Implemented in <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#acb7b954c56d087e3d2451f92e62eea60">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>.</p> |
| |
| </div> |
| </div> |
| <a id="a638d7da59618abe59378576a0ef76929"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a638d7da59618abe59378576a0ef76929">◆ </a></span>get_output_storage_size()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">virtual unsigned int get_output_storage_size </td> |
| <td>(</td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>num_batches</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>num_rows</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>num_cols</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>num_output_channels</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">bool </td> |
| <td class="paramname"><em>same_padding</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Determine how much memory (in units of TOut) to allocate for the (Winograd domain) output. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">num_batches</td><td>Number of batches in the output tensor. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">num_rows</td><td>Number of rows in each feature map of the input tensor. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">num_cols</td><td>Number of columns in each feature map of the input tensor. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">num_output_channels</td><td>Number of feature maps in the output tensor. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">same_padding</td><td>Use "SAME" padding, otherwise use "VALID".</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Storage size (in units of TOut) required. </dd></dl> |
| |
| <p>Implemented in <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#ab62748ccdc2d0696bca7e8cddbbb33af">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>.</p> |
| |
| </div> |
| </div> |
| <a id="adf88b409a140a439b6e5479da2f4cb1f"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#adf88b409a140a439b6e5479da2f4cb1f">◆ </a></span>get_working_space_size()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">virtual unsigned int get_working_space_size </td> |
| <td>(</td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>num_threads</em></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Get the working space required to perform the transformation. </p> |
| <p>Note, the working space is only required when performing the transformation - hence it can be reused whenever the transformation is not running.</p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">num_threads</td><td>The greatest number of threads that will be used to execute the transform.</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Size of working space required in bytes. </dd></dl> |
| |
| <p>Implemented in <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a8ccc8c221f26d7e2ed0b5cfbe4dc1b83">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>.</p> |
| |
| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following file:<ul> |
| <li>arm_compute/core/NEON/kernels/<a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml">NEWinogradConvolutionLayerKernel.h</a></li> |
| </ul> |
| </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="namespacearm__compute.xhtml">arm_compute</a></li><li class="navelem"><a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml">INEWinogradLayerTransformOutputKernel</a></li> |
| <li class="footer">Generated on Mon Sep 2 2019 11:47:35 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> |
