blob: f6d48b671de454b335774bd9a054c89299a82a65 [file] [log] [blame]
<!-- HTML header for doxygen 1.8.9.1-->
<!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 1.8.6"/>
<meta name="robots" content="NOINDEX, NOFOLLOW" /> <!-- Prevent indexing by search engines -->
<title>Compute Library: arm_compute/runtime/NEON/functions/NEConvolutionLayer.h Source File</title>
<link href="tabs.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="jquery.js"></script>
<script type="text/javascript" src="dynsections.js"></script>
<link href="navtree.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="resize.js"></script>
<script type="text/javascript" src="navtree.js"></script>
<script type="text/javascript">
$(document).ready(initResizable);
$(window).load(resizeHeight);
</script>
<link href="search/search.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="search/search.js"></script>
<script type="text/javascript">
$(document).ready(function() { searchBox.OnSelectItem(0); });
</script>
<script type="text/x-mathjax-config">
MathJax.Hub.Config({
extensions: ["tex2jax.js"],
jax: ["input/TeX","output/HTML-CSS"],
});
</script><script src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
<link href="doxygen.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;">
<td style="padding-left: 0.5em;">
<div id="projectname">Compute Library
&#160;<span id="projectnumber">17.09</span>
</div>
</td>
</tr>
</tbody>
</table>
</div>
<!-- end header part -->
<!-- Generated by Doxygen 1.8.6 -->
<script type="text/javascript">
var searchBox = new SearchBox("searchBox", "search",false,'Search');
</script>
<div id="navrow1" class="tabs">
<ul class="tablist">
<li><a href="index.xhtml"><span>Main&#160;Page</span></a></li>
<li><a href="pages.xhtml"><span>Related&#160;Pages</span></a></li>
<li><a href="namespaces.xhtml"><span>Namespaces</span></a></li>
<li><a href="annotated.xhtml"><span>Data&#160;Structures</span></a></li>
<li class="current"><a href="files.xhtml"><span>Files</span></a></li>
<li>
<div id="MSearchBox" class="MSearchBoxInactive">
<span class="left">
<img id="MSearchSelect" src="search/mag_sel.png"
onmouseover="return searchBox.OnSearchSelectShow()"
onmouseout="return searchBox.OnSearchSelectHide()"
alt=""/>
<input type="text" id="MSearchField" value="Search" accesskey="S"
onfocus="searchBox.OnSearchFieldFocus(true)"
onblur="searchBox.OnSearchFieldFocus(false)"
onkeyup="searchBox.OnSearchFieldChange(event)"/>
</span><span class="right">
<a id="MSearchClose" href="javascript:searchBox.CloseResultsWindow()"><img id="MSearchCloseImg" border="0" src="search/close.png" alt=""/></a>
</span>
</div>
</li>
</ul>
</div>
<div id="navrow2" class="tabs2">
<ul class="tablist">
<li><a href="files.xhtml"><span>File&#160;List</span></a></li>
<li><a href="globals.xhtml"><span>Globals</span></a></li>
</ul>
</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">
$(document).ready(function(){initNavTree('_n_e_convolution_layer_8h_source.xhtml','');});
</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)">
<a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(0)"><span class="SelectionMark">&#160;</span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark">&#160;</span>Data Structures</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark">&#160;</span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark">&#160;</span>Files</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark">&#160;</span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark">&#160;</span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark">&#160;</span>Typedefs</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(7)"><span class="SelectionMark">&#160;</span>Enumerations</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(8)"><span class="SelectionMark">&#160;</span>Enumerator</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(9)"><span class="SelectionMark">&#160;</span>Friends</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(10)"><span class="SelectionMark">&#160;</span>Macros</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(11)"><span class="SelectionMark">&#160;</span>Pages</a></div>
<!-- iframe showing the search results (closed by default) -->
<div id="MSearchResultsWindow">
<iframe src="javascript:void(0)" frameborder="0"
name="MSearchResults" id="MSearchResults">
</iframe>
</div>
<div class="header">
<div class="headertitle">
<div class="title">NEConvolutionLayer.h</div> </div>
</div><!--header-->
<div class="contents">
<a href="_n_e_convolution_layer_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">/*</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2017 ARM Limited.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="comment"> * SOFTWARE.</span></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#ifndef __ARM_COMPUTE_NECONVOLUTIONLAYER_H__</span></div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor"></span><span class="preprocessor">#define __ARM_COMPUTE_NECONVOLUTIONLAYER_H__</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_function_8h.xhtml">arm_compute/runtime/IFunction.h</a>&quot;</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_col2_im_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NECol2ImKernel.h</a>&quot;</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_fill_border_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEFillBorderKernel.h</a>&quot;</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_g_e_m_m_assembly_base_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEGEMMAssemblyBaseKernel.h</a>&quot;</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_g_e_m_m_interleave4x4_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEGEMMInterleave4x4Kernel.h</a>&quot;</span></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_g_e_m_m_matrix_multiply_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEGEMMMatrixMultiplyKernel.h</a>&quot;</span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_g_e_m_m_transpose1x_w_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEGEMMTranspose1xWKernel.h</a>&quot;</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_im2_col_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEIm2ColKernel.h</a>&quot;</span></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_weights_reshape_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h</a>&quot;</span></div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_memory_group_8h.xhtml">arm_compute/runtime/MemoryGroup.h</a>&quot;</span></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="runtime_2_tensor_8h.xhtml">arm_compute/runtime/Tensor.h</a>&quot;</span></div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="preprocessor">#include &lt;memory&gt;</span></div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;<span class="keyword">namespace </span>arm_compute</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;{</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;<span class="keyword">class </span>ITensor;</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;</div>
<div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml"> 51</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml">NEConvolutionLayerReshapeWeights</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;{</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#ad20905ddab1af56320f0be3d9921fd6c">NEConvolutionLayerReshapeWeights</a>(std::shared_ptr&lt;IMemoryManager&gt; memory_manager = <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#a65f7ed488a31b8d40862e6f06cd7e70c">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *biases, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keywordtype">bool</span> transpose1xW);</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="comment">// Inherited methods overridden:</span></div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>() <span class="keyword">override</span>;</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;<span class="keyword">private</span>:</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <a class="code" href="classarm__compute_1_1_memory_group_base.xhtml">MemoryGroup</a> _memory_group;</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml">NEWeightsReshapeKernel</a> _weights_reshape_kernel;</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml">NEGEMMTranspose1xWKernel</a> _weights_transposed_kernel;</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _weights_reshaped;</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keywordtype">bool</span> _transpose1xW;</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;};</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;</div>
<div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_convolution_layer.xhtml"> 84</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_convolution_layer.xhtml">NEConvolutionLayer</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;{</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_convolution_layer.xhtml#a3dbdd29f4f94dc9d6089ce4a57d3809f">NEConvolutionLayer</a>(std::shared_ptr&lt;IMemoryManager&gt; memory_manager = <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_layer.xhtml#aee13eaa771696a8257ededf5bf921cbb">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *biases, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;conv_info, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_weights_info.xhtml">WeightsInfo</a> &amp;weights_info = <a class="code" href="classarm__compute_1_1_weights_info.xhtml">WeightsInfo</a>());</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <span class="comment">// Inherited methods overridden:</span></div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>() <span class="keyword">override</span>;</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;<span class="keyword">private</span>:</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <a class="code" href="classarm__compute_1_1_memory_group_base.xhtml">MemoryGroup</a> _memory_group;</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml">NEIm2ColKernel</a> _input_im2col_kernel;</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml">NEGEMMInterleave4x4Kernel</a> _input_interleave_kernel;</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml">NEConvolutionLayerReshapeWeights</a> _reshape_weights;</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml">NEGEMMMatrixMultiplyKernel</a> _mm_kernel;</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; std::unique_ptr&lt;NEGEMMAssemblyBaseKernel&gt; _mm_optimised_kernel;</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; <a class="code" href="classarm__compute_1_1_n_e_col2_im_kernel.xhtml">NECol2ImKernel</a> _output_col2im_kernel;</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _input_im2col_reshaped;</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _input_interleaved_reshaped;</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _weights_reshaped;</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _gemm_output;</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _workspace;</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="keywordtype">bool</span> _has_bias;</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="keywordtype">bool</span> _is_fully_connected_convolution;</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keywordtype">bool</span> _are_weights_reshaped;</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;};</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;}</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_NECONVOLUTIONLAYER_H__ */</span><span class="preprocessor"></span></div>
<div class="ttc" id="_n_e_g_e_m_m_interleave4x4_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_g_e_m_m_interleave4x4_kernel_8h.xhtml">NEGEMMInterleave4x4Kernel.h</a></div></div>
<div class="ttc" id="_n_e_g_e_m_m_matrix_multiply_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_g_e_m_m_matrix_multiply_kernel_8h.xhtml">NEGEMMMatrixMultiplyKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_function_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_function.xhtml">arm_compute::IFunction</a></div><div class="ttdoc">Base class for all functions. </div><div class="ttdef"><b>Definition:</b> <a href="_i_function_8h_source.xhtml#l00030">IFunction.h:30</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_layer_reshape_weights_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml">arm_compute::NEConvolutionLayerReshapeWeights</a></div><div class="ttdoc">Function to reshape and perform 1xW transposition on the weights. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_layer_8h_source.xhtml#l00051">NEConvolutionLayer.h:51</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_layer_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::NEConvolutionLayer::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_im2_col_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml">arm_compute::NEIm2ColKernel</a></div><div class="ttdoc">Interface for the im2col reshape kernel. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_im2_col_kernel_8h_source.xhtml#l00057">NEIm2ColKernel.h:57</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_col2_im_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_col2_im_kernel.xhtml">arm_compute::NECol2ImKernel</a></div><div class="ttdoc">NEON kernel to perform col2im reshaping. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_col2_im_kernel_8h_source.xhtml#l00051">NECol2ImKernel.h:51</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_weights_reshape_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml">arm_compute::NEWeightsReshapeKernel</a></div><div class="ttdoc">NEON kernel to perform reshaping on the weights used by convolution and locally connected layer...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_weights_reshape_kernel_8h_source.xhtml#l00056">NEWeightsReshapeKernel.h:56</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_layer_xhtml_aee13eaa771696a8257ededf5bf921cbb"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_layer.xhtml#aee13eaa771696a8257ededf5bf921cbb">arm_compute::NEConvolutionLayer::configure</a></div><div class="ttdeci">void configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &amp;conv_info, const WeightsInfo &amp;weights_info=WeightsInfo())</div><div class="ttdoc">Set the input and output tensors. </div></div>
<div class="ttc" id="_n_e_fill_border_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_fill_border_kernel_8h.xhtml">NEFillBorderKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_weights_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_weights_info.xhtml">arm_compute::WeightsInfo</a></div><div class="ttdoc">Convolution Layer Weights Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00618">Types.h:618</a></div></div>
<div class="ttc" id="_n_e_g_e_m_m_transpose1x_w_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_g_e_m_m_transpose1x_w_kernel_8h.xhtml">NEGEMMTranspose1xWKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml">arm_compute::NEGEMMInterleave4x4Kernel</a></div><div class="ttdoc">NEON kernel to interleave the elements of a matrix. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_g_e_m_m_interleave4x4_kernel_8h_source.xhtml#l00052">NEGEMMInterleave4x4Kernel.h:52</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_layer_xhtml_a3dbdd29f4f94dc9d6089ce4a57d3809f"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_layer.xhtml#a3dbdd29f4f94dc9d6089ce4a57d3809f">arm_compute::NEConvolutionLayer::NEConvolutionLayer</a></div><div class="ttdeci">NEConvolutionLayer(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)</div><div class="ttdoc">Constructor. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_layer.xhtml">arm_compute::NEConvolutionLayer</a></div><div class="ttdoc">Basic function to simulate a convolution layer. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_layer_8h_source.xhtml#l00084">NEConvolutionLayer.h:84</a></div></div>
<div class="ttc" id="_n_e_col2_im_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_col2_im_kernel_8h.xhtml">NECol2ImKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml">arm_compute::NEGEMMTranspose1xWKernel</a></div><div class="ttdoc">NEON kernel which transposes the elements of a matrix in chunks of 1xW, where W is equal to (16 / ele...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_g_e_m_m_transpose1x_w_kernel_8h_source.xhtml#l00068">NEGEMMTranspose1xWKernel.h:68</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor.xhtml">arm_compute::Tensor</a></div><div class="ttdoc">Basic implementation of the tensor interface. </div><div class="ttdef"><b>Definition:</b> <a href="runtime_2_tensor_8h_source.xhtml#l00037">Tensor.h:37</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml">arm_compute::PadStrideInfo</a></div><div class="ttdoc">Padding and stride information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00406">Types.h:406</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_layer_reshape_weights_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::NEConvolutionLayerReshapeWeights::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function. </div></div>
<div class="ttc" id="_memory_group_8h_xhtml"><div class="ttname"><a href="_memory_group_8h.xhtml">MemoryGroup.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_layer_reshape_weights_xhtml_ad20905ddab1af56320f0be3d9921fd6c"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#ad20905ddab1af56320f0be3d9921fd6c">arm_compute::NEConvolutionLayerReshapeWeights::NEConvolutionLayerReshapeWeights</a></div><div class="ttdeci">NEConvolutionLayerReshapeWeights(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)</div><div class="ttdoc">Constructor. </div></div>
<div class="ttc" id="_n_e_g_e_m_m_assembly_base_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_g_e_m_m_assembly_base_kernel_8h.xhtml">NEGEMMAssemblyBaseKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_memory_group_base_xhtml"><div class="ttname"><a href="classarm__compute_1_1_memory_group_base.xhtml">arm_compute::MemoryGroupBase&lt; Tensor &gt;</a></div></div>
<div class="ttc" id="_i_function_8h_xhtml"><div class="ttname"><a href="_i_function_8h.xhtml">IFunction.h</a></div></div>
<div class="ttc" id="_n_e_im2_col_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_im2_col_kernel_8h.xhtml">NEIm2ColKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_layer_reshape_weights_xhtml_a65f7ed488a31b8d40862e6f06cd7e70c"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#a65f7ed488a31b8d40862e6f06cd7e70c">arm_compute::NEConvolutionLayerReshapeWeights::configure</a></div><div class="ttdeci">void configure(const ITensor *weights, const ITensor *biases, ITensor *output, bool transpose1xW)</div><div class="ttdoc">Set the input and output tensors. </div></div>
<div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div>
<div class="ttc" id="runtime_2_tensor_8h_xhtml"><div class="ttname"><a href="runtime_2_tensor_8h.xhtml">Tensor.h</a></div></div>
<div class="ttc" id="_n_e_weights_reshape_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_weights_reshape_kernel_8h.xhtml">NEWeightsReshapeKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml">arm_compute::NEGEMMMatrixMultiplyKernel</a></div><div class="ttdoc">NEON kernel to multiply two input matrices &quot;A&quot; and &quot;B&quot;. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_g_e_m_m_matrix_multiply_kernel_8h_source.xhtml#l00039">NEGEMMMatrixMultiplyKernel.h:39</a></div></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
<li class="navelem"><a class="el" href="dir_d4d363c0979c7ffda4833df3f93b5668.xhtml">arm_compute</a></li><li class="navelem"><a class="el" href="dir_9464f60aea3c9b524aea6b3ae09a377f.xhtml">runtime</a></li><li class="navelem"><a class="el" href="dir_19dd10388c828caf656635151589eeb5.xhtml">NEON</a></li><li class="navelem"><a class="el" href="dir_35f65bf11a4f103b6aa0588a205e65e2.xhtml">functions</a></li><li class="navelem"><a class="el" href="_n_e_convolution_layer_8h.xhtml">NEConvolutionLayer.h</a></li>
<li class="footer">Generated on Thu Sep 28 2017 14:37:50 for Compute Library by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6 </li>
</ul>
</div>
</body>
</html>