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<a href="#pub-methods">Public Member Functions</a> &#124;
<a href="#pub-attribs">Data Fields</a> </div>
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<div class="title">WinogradInfo Struct Reference</div> </div>
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<p>Winograd information.
<a href="structarm__compute_1_1_winograd_info.xhtml#details">More...</a></p>
<p><code>#include &lt;<a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">Types.h</a>&gt;</code></p>
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Collaboration diagram for WinogradInfo:</div>
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<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:af8cfb6ab1e028484d875995bf6c224e3"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1_winograd_info.xhtml#af8cfb6ab1e028484d875995bf6c224e3">WinogradInfo</a> (<a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> output_tile_sz, <a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> kernel_sz, <a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> input_dims, <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> conv_info, <a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> data_layout)</td></tr>
<tr class="memdesc:af8cfb6ab1e028484d875995bf6c224e3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default constructor. <a href="#af8cfb6ab1e028484d875995bf6c224e3">More...</a><br /></td></tr>
<tr class="separator:af8cfb6ab1e028484d875995bf6c224e3"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-attribs"></a>
Data Fields</h2></td></tr>
<tr class="memitem:a5cd6561e9acc0cf9ba11bc2f51ec7a33"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1_winograd_info.xhtml#a5cd6561e9acc0cf9ba11bc2f51ec7a33">output_tile_size</a> {}</td></tr>
<tr class="memdesc:a5cd6561e9acc0cf9ba11bc2f51ec7a33"><td class="mdescLeft">&#160;</td><td class="mdescRight">Width and height of the output tile. <a href="#a5cd6561e9acc0cf9ba11bc2f51ec7a33">More...</a><br /></td></tr>
<tr class="separator:a5cd6561e9acc0cf9ba11bc2f51ec7a33"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aca57076ead1d06c47d3d32f4302b14ac"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1_winograd_info.xhtml#aca57076ead1d06c47d3d32f4302b14ac">kernel_size</a> {}</td></tr>
<tr class="memdesc:aca57076ead1d06c47d3d32f4302b14ac"><td class="mdescLeft">&#160;</td><td class="mdescRight">Width and height of the kernel. <a href="#aca57076ead1d06c47d3d32f4302b14ac">More...</a><br /></td></tr>
<tr class="separator:aca57076ead1d06c47d3d32f4302b14ac"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af9ef316b2c98c946b47cd18f1319b93f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1_winograd_info.xhtml#af9ef316b2c98c946b47cd18f1319b93f">input_dimensions</a> {}</td></tr>
<tr class="memdesc:af9ef316b2c98c946b47cd18f1319b93f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Width and height of the input tensor before the convolution is applied. <a href="#af9ef316b2c98c946b47cd18f1319b93f">More...</a><br /></td></tr>
<tr class="separator:af9ef316b2c98c946b47cd18f1319b93f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad99e40b120f0a9e96821c08bf60a84f2"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1_winograd_info.xhtml#ad99e40b120f0a9e96821c08bf60a84f2">convolution_info</a> {}</td></tr>
<tr class="memdesc:ad99e40b120f0a9e96821c08bf60a84f2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Convolution info (Pads, strides,...) <a href="#ad99e40b120f0a9e96821c08bf60a84f2">More...</a><br /></td></tr>
<tr class="separator:ad99e40b120f0a9e96821c08bf60a84f2"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0bc60aaf23b2d3ed3b344576a708e84e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1_winograd_info.xhtml#a0bc60aaf23b2d3ed3b344576a708e84e">output_data_layout</a> { <a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> }</td></tr>
<tr class="memdesc:a0bc60aaf23b2d3ed3b344576a708e84e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Data layout to use for the output tensor once the convolution has been applied (NCHW or NHWC) <a href="#a0bc60aaf23b2d3ed3b344576a708e84e">More...</a><br /></td></tr>
<tr class="separator:a0bc60aaf23b2d3ed3b344576a708e84e"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>Winograd information. </p>
<p class="definition">Definition at line <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l02043">2043</a> of file <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">Types.h</a>.</p>
</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
<a id="af8cfb6ab1e028484d875995bf6c224e3"></a>
<h2 class="memtitle"><span class="permalink"><a href="#af8cfb6ab1e028484d875995bf6c224e3">&#9670;&nbsp;</a></span>WinogradInfo()</h2>
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<td class="memname"><a class="el" href="structarm__compute_1_1_winograd_info.xhtml">WinogradInfo</a> </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>&#160;</td>
<td class="paramname"><em>output_tile_sz</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>&#160;</td>
<td class="paramname"><em>kernel_sz</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>&#160;</td>
<td class="paramname"><em>input_dims</em>, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>&#160;</td>
<td class="paramname"><em>conv_info</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&#160;</td>
<td class="paramname"><em>data_layout</em>&#160;</td>
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<td>)</td>
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<p>Default constructor. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">output_tile_sz</td><td>Width and height of the output tile </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">kernel_sz</td><td>Width and height of the kernel </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_dims</td><td>Width and height of the input tensor before the convolution is applied </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">conv_info</td><td>Convolution info (Pads, strides) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">data_layout</td><td>Data layout to use for the output tensor once the convolution has been applied </td></tr>
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<p class="definition">Definition at line <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l02053">2053</a> of file <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">Types.h</a>.</p>
<div class="fragment"><div class="line"><a name="l02054"></a><span class="lineno"> 2054</span>&#160; : <a class="code" href="structarm__compute_1_1_winograd_info.xhtml#a5cd6561e9acc0cf9ba11bc2f51ec7a33">output_tile_size</a>(output_tile_sz), <a class="code" href="structarm__compute_1_1_winograd_info.xhtml#aca57076ead1d06c47d3d32f4302b14ac">kernel_size</a>(kernel_sz), <a class="code" href="structarm__compute_1_1_winograd_info.xhtml#af9ef316b2c98c946b47cd18f1319b93f">input_dimensions</a>(input_dims), <a class="code" href="structarm__compute_1_1_winograd_info.xhtml#ad99e40b120f0a9e96821c08bf60a84f2">convolution_info</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>), <a class="code" href="structarm__compute_1_1_winograd_info.xhtml#a0bc60aaf23b2d3ed3b344576a708e84e">output_data_layout</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">data_layout</a>)</div><div class="line"><a name="l02055"></a><span class="lineno"> 2055</span>&#160; {</div><div class="line"><a name="l02056"></a><span class="lineno"> 2056</span>&#160; }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acf5f12bbab64dd614bd8220c97fe484f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acf5f12bbab64dd614bd8220c97fe484f">arm_compute::test::validation::data_layout</a></div><div class="ttdeci">const DataLayout data_layout</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00146">Im2Col.cpp:146</a></div></div>
<div class="ttc" id="structarm__compute_1_1_winograd_info_xhtml_a0bc60aaf23b2d3ed3b344576a708e84e"><div class="ttname"><a href="structarm__compute_1_1_winograd_info.xhtml#a0bc60aaf23b2d3ed3b344576a708e84e">arm_compute::WinogradInfo::output_data_layout</a></div><div class="ttdeci">DataLayout output_data_layout</div><div class="ttdoc">Data layout to use for the output tensor once the convolution has been applied (NCHW or NHWC)</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l02062">Types.h:2062</a></div></div>
<div class="ttc" id="structarm__compute_1_1_winograd_info_xhtml_ad99e40b120f0a9e96821c08bf60a84f2"><div class="ttname"><a href="structarm__compute_1_1_winograd_info.xhtml#ad99e40b120f0a9e96821c08bf60a84f2">arm_compute::WinogradInfo::convolution_info</a></div><div class="ttdeci">PadStrideInfo convolution_info</div><div class="ttdoc">Convolution info (Pads, strides,...)</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l02061">Types.h:2061</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a00525ff582f16038a1d3819aa44a23a3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00599">Winograd.cpp:599</a></div></div>
<div class="ttc" id="structarm__compute_1_1_winograd_info_xhtml_a5cd6561e9acc0cf9ba11bc2f51ec7a33"><div class="ttname"><a href="structarm__compute_1_1_winograd_info.xhtml#a5cd6561e9acc0cf9ba11bc2f51ec7a33">arm_compute::WinogradInfo::output_tile_size</a></div><div class="ttdeci">Size2D output_tile_size</div><div class="ttdoc">Width and height of the output tile.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l02058">Types.h:2058</a></div></div>
<div class="ttc" id="structarm__compute_1_1_winograd_info_xhtml_aca57076ead1d06c47d3d32f4302b14ac"><div class="ttname"><a href="structarm__compute_1_1_winograd_info.xhtml#aca57076ead1d06c47d3d32f4302b14ac">arm_compute::WinogradInfo::kernel_size</a></div><div class="ttdeci">Size2D kernel_size</div><div class="ttdoc">Width and height of the kernel.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l02059">Types.h:2059</a></div></div>
<div class="ttc" id="structarm__compute_1_1_winograd_info_xhtml_af9ef316b2c98c946b47cd18f1319b93f"><div class="ttname"><a href="structarm__compute_1_1_winograd_info.xhtml#af9ef316b2c98c946b47cd18f1319b93f">arm_compute::WinogradInfo::input_dimensions</a></div><div class="ttdeci">Size2D input_dimensions</div><div class="ttdoc">Width and height of the input tensor before the convolution is applied.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l02060">Types.h:2060</a></div></div>
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<h2 class="groupheader">Field Documentation</h2>
<a id="ad99e40b120f0a9e96821c08bf60a84f2"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ad99e40b120f0a9e96821c08bf60a84f2">&#9670;&nbsp;</a></span>convolution_info</h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> convolution_info {}</td>
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<p>Convolution info (Pads, strides,...) </p>
<p class="definition">Definition at line <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l02061">2061</a> of file <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">Types.h</a>.</p>
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<a id="af9ef316b2c98c946b47cd18f1319b93f"></a>
<h2 class="memtitle"><span class="permalink"><a href="#af9ef316b2c98c946b47cd18f1319b93f">&#9670;&nbsp;</a></span>input_dimensions</h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> input_dimensions {}</td>
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<p>Width and height of the input tensor before the convolution is applied. </p>
<p class="definition">Definition at line <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l02060">2060</a> of file <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">Types.h</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#aca57076ead1d06c47d3d32f4302b14ac">&#9670;&nbsp;</a></span>kernel_size</h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> kernel_size {}</td>
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<p>Width and height of the kernel. </p>
<p class="definition">Definition at line <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l02059">2059</a> of file <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">Types.h</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#a0bc60aaf23b2d3ed3b344576a708e84e">&#9670;&nbsp;</a></span>output_data_layout</h2>
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<td class="memname"><a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> output_data_layout { <a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> }</td>
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<p>Data layout to use for the output tensor once the convolution has been applied (NCHW or NHWC) </p>
<p class="definition">Definition at line <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l02062">2062</a> of file <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">Types.h</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#a5cd6561e9acc0cf9ba11bc2f51ec7a33">&#9670;&nbsp;</a></span>output_tile_size</h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> output_tile_size {}</td>
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<p>Width and height of the output tile. </p>
<p class="definition">Definition at line <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l02058">2058</a> of file <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">Types.h</a>.</p>
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<hr/>The documentation for this struct was generated from the following file:<ul>
<li>arm_compute/core/<a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">Types.h</a></li>
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