1 <!-- HTML header for doxygen 1.8.9.1-->
2 <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
3 <html xmlns="http://www.w3.org/1999/xhtml">
5 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
6 <meta http-equiv="X-UA-Compatible" content="IE=9"/>
7 <meta name="generator" content="Doxygen 1.8.11"/>
8 <meta name="robots" content="NOINDEX, NOFOLLOW" /> <!-- Prevent indexing by search engines -->
9 <title>Compute Library: INEWinogradLayerTransformInputKernel< T > Class Template Reference</title>
10 <link href="tabs.css" rel="stylesheet" type="text/css"/>
11 <script type="text/javascript" src="jquery.js"></script>
12 <script type="text/javascript" src="dynsections.js"></script>
13 <link href="navtree.css" rel="stylesheet" type="text/css"/>
14 <script type="text/javascript" src="resize.js"></script>
15 <script type="text/javascript" src="navtreedata.js"></script>
16 <script type="text/javascript" src="navtree.js"></script>
17 <script type="text/javascript">
18 $(document).ready(initResizable);
19 $(window).load(resizeHeight);
21 <link href="search/search.css" rel="stylesheet" type="text/css"/>
22 <script type="text/javascript" src="search/searchdata.js"></script>
23 <script type="text/javascript" src="search/search.js"></script>
24 <script type="text/javascript">
25 $(document).ready(function() { init_search(); });
27 <script type="text/x-mathjax-config">
29 extensions: ["tex2jax.js"],
30 jax: ["input/TeX","output/HTML-CSS"],
32 </script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
33 <link href="doxygen.css" rel="stylesheet" type="text/css" />
36 <div id="top"><!-- do not remove this div, it is closed by doxygen! -->
38 <table cellspacing="0" cellpadding="0">
40 <tr style="height: 56px;">
41 <td style="padding-left: 0.5em;">
42 <div id="projectname">Compute Library
43  <span id="projectnumber">18.05</span>
50 <!-- end header part -->
51 <!-- Generated by Doxygen 1.8.11 -->
52 <script type="text/javascript">
53 var searchBox = new SearchBox("searchBox", "search",false,'Search');
55 <div id="navrow1" class="tabs">
57 <li><a href="index.xhtml"><span>Main Page</span></a></li>
58 <li><a href="pages.xhtml"><span>Related Pages</span></a></li>
59 <li><a href="namespaces.xhtml"><span>Namespaces</span></a></li>
60 <li class="current"><a href="annotated.xhtml"><span>Data Structures</span></a></li>
61 <li><a href="files.xhtml"><span>Files</span></a></li>
63 <div id="MSearchBox" class="MSearchBoxInactive">
65 <img id="MSearchSelect" src="search/mag_sel.png"
66 onmouseover="return searchBox.OnSearchSelectShow()"
67 onmouseout="return searchBox.OnSearchSelectHide()"
69 <input type="text" id="MSearchField" value="Search" accesskey="S"
70 onfocus="searchBox.OnSearchFieldFocus(true)"
71 onblur="searchBox.OnSearchFieldFocus(false)"
72 onkeyup="searchBox.OnSearchFieldChange(event)"/>
73 </span><span class="right">
74 <a id="MSearchClose" href="javascript:searchBox.CloseResultsWindow()"><img id="MSearchCloseImg" border="0" src="search/close.png" alt=""/></a>
80 <div id="navrow2" class="tabs2">
82 <li><a href="annotated.xhtml"><span>Data Structures</span></a></li>
83 <li><a href="classes.xhtml"><span>Data Structure Index</span></a></li>
84 <li><a href="inherits.xhtml"><span>Class Hierarchy</span></a></li>
85 <li><a href="functions.xhtml"><span>Data Fields</span></a></li>
89 <div id="side-nav" class="ui-resizable side-nav-resizable">
91 <div id="nav-tree-contents">
92 <div id="nav-sync" class="sync"></div>
95 <div id="splitbar" style="-moz-user-select:none;"
96 class="ui-resizable-handle">
99 <script type="text/javascript">
100 $(document).ready(function(){initNavTree('classarm__compute_1_1_i_n_e_winograd_layer_transform_input_kernel.xhtml','');});
102 <div id="doc-content">
103 <!-- window showing the filter options -->
104 <div id="MSearchSelectWindow"
105 onmouseover="return searchBox.OnSearchSelectShow()"
106 onmouseout="return searchBox.OnSearchSelectHide()"
107 onkeydown="return searchBox.OnSearchSelectKey(event)">
110 <!-- iframe showing the search results (closed by default) -->
111 <div id="MSearchResultsWindow">
112 <iframe src="javascript:void(0)" frameborder="0"
113 name="MSearchResults" id="MSearchResults">
118 <div class="summary">
119 <a href="#pub-methods">Public Member Functions</a> </div>
120 <div class="headertitle">
121 <div class="title">INEWinogradLayerTransformInputKernel< T > Class Template Reference<span class="mlabels"><span class="mlabel">abstract</span></span></div> </div>
123 <div class="contents">
125 <p>Interface for the NEON kernel to perform Winograd input transform.
126 <a href="classarm__compute_1_1_i_n_e_winograd_layer_transform_input_kernel.xhtml#details">More...</a></p>
128 <p><code>#include <<a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml">NEWinogradConvolutionLayerKernel.h</a>></code></p>
129 <div class="dynheader">
130 Collaboration diagram for INEWinogradLayerTransformInputKernel< T >:</div>
131 <div class="dyncontent">
132 <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1_i_n_e_winograd_layer_transform_input_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>
134 <center><span class="legend">[<a target="top" href="graph_legend.xhtml">legend</a>]</span></center></div>
135 <table class="memberdecls">
136 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
137 Public Member Functions</h2></td></tr>
138 <tr class="memitem:a8002726bde2404f3594fd6f1febc5eed"><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_input_kernel.xhtml#a8002726bde2404f3594fd6f1febc5eed">get_input_storage_size</a> (int n_batches, int n_channels, int n_rows, int n_cols, bool same_padding) const =0</td></tr>
139 <tr class="memdesc:a8002726bde2404f3594fd6f1febc5eed"><td class="mdescLeft"> </td><td class="mdescRight">Determine how much memory (in units of TIn) to allocate for the transformed input. <a href="#a8002726bde2404f3594fd6f1febc5eed">More...</a><br /></td></tr>
140 <tr class="separator:a8002726bde2404f3594fd6f1febc5eed"><td class="memSeparator" colspan="2"> </td></tr>
141 <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_input_kernel.xhtml#ae25b6ed77179808984b17c39e078ad96">get_matrix_stride</a> (const KernelShape &kernel_shape, const Tensor4DShape &input_shape, const PaddingType padding_type) const =0</td></tr>
142 <tr class="memdesc:ae25b6ed77179808984b17c39e078ad96"><td class="mdescLeft"> </td><td class="mdescRight">Gets the stride between matrices in the input worspace. <a href="#ae25b6ed77179808984b17c39e078ad96">More...</a><br /></td></tr>
143 <tr class="separator:ae25b6ed77179808984b17c39e078ad96"><td class="memSeparator" colspan="2"> </td></tr>
144 <tr class="memitem:a2ac7c7acdb2d7dea85085c2dff52687f"><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_input_kernel.xhtml#a2ac7c7acdb2d7dea85085c2dff52687f">configure</a> (const T *const input, const int n_batches, const int n_rows, const int n_cols, const int n_channels, const PaddingType padding, T *const output, const int matrix_stride)=0</td></tr>
145 <tr class="memdesc:a2ac7c7acdb2d7dea85085c2dff52687f"><td class="mdescLeft"> </td><td class="mdescRight">Configure the output transform kernel. <a href="#a2ac7c7acdb2d7dea85085c2dff52687f">More...</a><br /></td></tr>
146 <tr class="separator:a2ac7c7acdb2d7dea85085c2dff52687f"><td class="memSeparator" colspan="2"> </td></tr>
147 <tr class="memitem:a57db7dcc6716d3a676a422bb2839036f"><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_input_kernel.xhtml#a57db7dcc6716d3a676a422bb2839036f">~INEWinogradLayerTransformInputKernel</a> ()</td></tr>
148 <tr class="memdesc:a57db7dcc6716d3a676a422bb2839036f"><td class="mdescLeft"> </td><td class="mdescRight">Destructor. <a href="#a57db7dcc6716d3a676a422bb2839036f">More...</a><br /></td></tr>
149 <tr class="separator:a57db7dcc6716d3a676a422bb2839036f"><td class="memSeparator" colspan="2"> </td></tr>
150 <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>
151 <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>
152 <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="#a033d17a97e07cea7fe83eefcf23540f6">More...</a><br /></td></tr>
153 <tr class="separator:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memSeparator" colspan="2"> </td></tr>
154 <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#a3f5646133956f06348b310ccc3d36353">window</a>, const <a class="el" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &info)=0</td></tr>
155 <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="#af814ff5e96f40f1cccf809b2b4ee19ef">More...</a><br /></td></tr>
156 <tr class="separator:af814ff5e96f40f1cccf809b2b4ee19ef inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memSeparator" colspan="2"> </td></tr>
157 <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>
158 <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="#a1a30ad8f276a2310571c36239554831a">More...</a><br /></td></tr>
159 <tr class="separator:a1a30ad8f276a2310571c36239554831a inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memSeparator" colspan="2"> </td></tr>
160 <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>
161 <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>
162 <tr class="memdesc:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#a7250cb8cbaa4104a93a2d77155085507">More...</a><br /></td></tr>
163 <tr class="separator:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr>
164 <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>
165 <tr class="memdesc:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft"> </td><td class="mdescRight">Destructor. <a href="#a341b60d15a5e12a5b8f3825194dd3b12">More...</a><br /></td></tr>
166 <tr class="separator:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr>
167 <tr class="memitem:abfab8f0d4928e1081d9f65b77933e24a 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#abfab8f0d4928e1081d9f65b77933e24a">is_parallelisable</a> () const </td></tr>
168 <tr class="memdesc:abfab8f0d4928e1081d9f65b77933e24a 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="#abfab8f0d4928e1081d9f65b77933e24a">More...</a><br /></td></tr>
169 <tr class="separator:abfab8f0d4928e1081d9f65b77933e24a inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr>
170 <tr class="memitem:aa6daa9b04e2035bf007e5e5c3c4396a8 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#aa6daa9b04e2035bf007e5e5c3c4396a8">border_size</a> () const </td></tr>
171 <tr class="memdesc:aa6daa9b04e2035bf007e5e5c3c4396a8 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="#aa6daa9b04e2035bf007e5e5c3c4396a8">More...</a><br /></td></tr>
172 <tr class="separator:aa6daa9b04e2035bf007e5e5c3c4396a8 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr>
173 <tr class="memitem:a3f5646133956f06348b310ccc3d36353 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#a3f5646133956f06348b310ccc3d36353">window</a> () const </td></tr>
174 <tr class="memdesc:a3f5646133956f06348b310ccc3d36353 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="#a3f5646133956f06348b310ccc3d36353">More...</a><br /></td></tr>
175 <tr class="separator:a3f5646133956f06348b310ccc3d36353 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2"> </td></tr>
177 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
178 <div class="textblock"><h3>template<typename T><br />
179 class arm_compute::INEWinogradLayerTransformInputKernel< T ></h3>
181 <p>Interface for the NEON kernel to perform Winograd input transform. </p>
183 <p>Definition at line <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00039">39</a> of file <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml">NEWinogradConvolutionLayerKernel.h</a>.</p>
184 </div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
185 <a class="anchor" id="a57db7dcc6716d3a676a422bb2839036f"></a>
186 <div class="memitem">
187 <div class="memproto">
188 <table class="mlabels">
190 <td class="mlabels-left">
191 <table class="memname">
193 <td class="memname">virtual ~<a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_input_kernel.xhtml">INEWinogradLayerTransformInputKernel</a> </td>
195 <td class="paramname"></td><td>)</td>
200 <td class="mlabels-right">
201 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">virtual</span></span> </td>
204 </div><div class="memdoc">
208 <p>Definition at line <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00079">79</a> of file <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml">NEWinogradConvolutionLayerKernel.h</a>.</p>
209 <div class="fragment"><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  {</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  }</div></div><!-- fragment -->
212 <h2 class="groupheader">Member Function Documentation</h2>
213 <a class="anchor" id="a2ac7c7acdb2d7dea85085c2dff52687f"></a>
214 <div class="memitem">
215 <div class="memproto">
216 <table class="mlabels">
218 <td class="mlabels-left">
219 <table class="memname">
221 <td class="memname">virtual void configure </td>
223 <td class="paramtype">const T *const </td>
224 <td class="paramname"><em>input</em>, </td>
227 <td class="paramkey"></td>
229 <td class="paramtype">const int </td>
230 <td class="paramname"><em>n_batches</em>, </td>
233 <td class="paramkey"></td>
235 <td class="paramtype">const int </td>
236 <td class="paramname"><em>n_rows</em>, </td>
239 <td class="paramkey"></td>
241 <td class="paramtype">const int </td>
242 <td class="paramname"><em>n_cols</em>, </td>
245 <td class="paramkey"></td>
247 <td class="paramtype">const int </td>
248 <td class="paramname"><em>n_channels</em>, </td>
251 <td class="paramkey"></td>
253 <td class="paramtype">const PaddingType </td>
254 <td class="paramname"><em>padding</em>, </td>
257 <td class="paramkey"></td>
259 <td class="paramtype">T *const </td>
260 <td class="paramname"><em>output</em>, </td>
263 <td class="paramkey"></td>
265 <td class="paramtype">const int </td>
266 <td class="paramname"><em>matrix_stride</em> </td>
275 <td class="mlabels-right">
276 <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td>
279 </div><div class="memdoc">
281 <p>Configure the output transform kernel. </p>
282 <dl class="params"><dt>Parameters</dt><dd>
283 <table class="params">
284 <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Input tensor data </td></tr>
285 <tr><td class="paramdir">[in]</td><td class="paramname">n_batches</td><td>Number of batches in input tensor. </td></tr>
286 <tr><td class="paramdir">[in]</td><td class="paramname">n_rows</td><td>Number of rows in input tensor. </td></tr>
287 <tr><td class="paramdir">[in]</td><td class="paramname">n_cols</td><td>Number of columns in input tensor. </td></tr>
288 <tr><td class="paramdir">[in]</td><td class="paramname">n_channels</td><td>Number of channels in input tensor. </td></tr>
289 <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>Padding type. </td></tr>
290 <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Base of output matrices. </td></tr>
291 <tr><td class="paramdir">[in]</td><td class="paramname">matrix_stride</td><td>Stride between output matrices. </td></tr>
296 <p>Implemented in <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a44afc923c115088fbc707f53c9abb8f2">NEWinogradLayerTransformInputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>.</p>
298 <p>Referenced by <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00120">NEWinogradLayerTransformInputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols >::name()</a>, <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00238">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols >::name()</a>, <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00383">NEWinogradLayerTransformWeightsKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols >::name()</a>, and <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00473">NEWinogradLayerBatchedGEMMKernel< TIn, TOut, OutputTileRows, OutputTileCols, KernelRows, KernelCols >::name()</a>.</p>
302 <a class="anchor" id="a8002726bde2404f3594fd6f1febc5eed"></a>
303 <div class="memitem">
304 <div class="memproto">
305 <table class="mlabels">
307 <td class="mlabels-left">
308 <table class="memname">
310 <td class="memname">virtual unsigned int get_input_storage_size </td>
312 <td class="paramtype">int </td>
313 <td class="paramname"><em>n_batches</em>, </td>
316 <td class="paramkey"></td>
318 <td class="paramtype">int </td>
319 <td class="paramname"><em>n_channels</em>, </td>
322 <td class="paramkey"></td>
324 <td class="paramtype">int </td>
325 <td class="paramname"><em>n_rows</em>, </td>
328 <td class="paramkey"></td>
330 <td class="paramtype">int </td>
331 <td class="paramname"><em>n_cols</em>, </td>
334 <td class="paramkey"></td>
336 <td class="paramtype">bool </td>
337 <td class="paramname"><em>same_padding</em> </td>
342 <td></td><td> const</td>
346 <td class="mlabels-right">
347 <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td>
350 </div><div class="memdoc">
352 <p>Determine how much memory (in units of TIn) to allocate for the transformed input. </p>
353 <dl class="params"><dt>Parameters</dt><dd>
354 <table class="params">
355 <tr><td class="paramdir">[in]</td><td class="paramname">n_batches</td><td>Number of batches in the input tensor. </td></tr>
356 <tr><td class="paramdir">[in]</td><td class="paramname">n_channels</td><td>Number of feature maps in the input tensor. </td></tr>
357 <tr><td class="paramdir">[in]</td><td class="paramname">n_rows</td><td>Number of rows in each feature map. </td></tr>
358 <tr><td class="paramdir">[in]</td><td class="paramname">n_cols</td><td>Number of columns in each feature map. </td></tr>
359 <tr><td class="paramdir">[in]</td><td class="paramname">same_padding</td><td>Use "SAME" padding, otherwise use "VALID".</td></tr>
363 <dl class="section return"><dt>Returns</dt><dd>Storage size (in units of TIn) required. </dd></dl>
365 <p>Implemented in <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#ac500ccdb4a6ced688aa2d8ad4952d215">NEWinogradLayerTransformInputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>.</p>
369 <a class="anchor" id="ae25b6ed77179808984b17c39e078ad96"></a>
370 <div class="memitem">
371 <div class="memproto">
372 <table class="mlabels">
374 <td class="mlabels-left">
375 <table class="memname">
377 <td class="memname">virtual int get_matrix_stride </td>
379 <td class="paramtype">const KernelShape & </td>
380 <td class="paramname"><em>kernel_shape</em>, </td>
383 <td class="paramkey"></td>
385 <td class="paramtype">const Tensor4DShape & </td>
386 <td class="paramname"><em>input_shape</em>, </td>
389 <td class="paramkey"></td>
391 <td class="paramtype">const PaddingType </td>
392 <td class="paramname"><em>padding_type</em> </td>
397 <td></td><td> const</td>
401 <td class="mlabels-right">
402 <span class="mlabels"><span class="mlabel">pure virtual</span></span> </td>
405 </div><div class="memdoc">
407 <p>Gets the stride between matrices in the input worspace. </p>
408 <dl class="params"><dt>Parameters</dt><dd>
409 <table class="params">
410 <tr><td class="paramdir">[in]</td><td class="paramname">kernel_shape</td><td>The shape of the weights tensor. </td></tr>
411 <tr><td class="paramdir">[in]</td><td class="paramname">input_shape</td><td>The shape of the input tensor. </td></tr>
412 <tr><td class="paramdir">[in]</td><td class="paramname">padding_type</td><td>The type of padding to be used.</td></tr>
416 <dl class="section return"><dt>Returns</dt><dd>Stride expressed in bytes. </dd></dl>
418 <p>Implemented in <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#ae18e3efe8200578009c1f7a15a4a2fa0">NEWinogradLayerTransformInputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols ></a>.</p>
420 <p>Referenced by <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00238">NEWinogradLayerTransformOutputKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols >::name()</a>, and <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00383">NEWinogradLayerTransformWeightsKernel< T, OutputTileRows, OutputTileCols, KernelRows, KernelCols >::name()</a>.</p>
424 <hr/>The documentation for this class was generated from the following file:<ul>
425 <li>arm_compute/core/NEON/kernels/<a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml">NEWinogradConvolutionLayerKernel.h</a></li>
427 </div><!-- contents -->
428 </div><!-- doc-content -->
429 <!-- start footer part -->
430 <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
432 <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_input_kernel.xhtml">INEWinogradLayerTransformInputKernel</a></li>
433 <li class="footer">Generated on Wed May 23 2018 11:36:42 for Compute Library by
434 <a href="http://www.doxygen.org/index.html">
435 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>