<!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 1.8.5"/> <title>Eigen: GeneralBlockPanelKernel.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> <link href="doxygen.css" rel="stylesheet" type="text/css" /> <link href="eigendoxy.css" rel="stylesheet" type="text/css"> <!-- --> <script type="text/javascript" src="eigen_navtree_hacks.js"></script> <!-- <script type="text/javascript"> --> <!-- </script> --> </head> <body> <div id="top"><!-- do not remove this div, it is closed by doxygen! --> <!-- <a name="top"></a> --> <div id="titlearea"> <table cellspacing="0" cellpadding="0"> <tbody> <tr style="height: 56px;"> <td id="projectlogo"><img alt="Logo" src="Eigen_Silly_Professor_64x64.png"/></td> <td style="padding-left: 0.5em;"> <div id="projectname"><a href="http://eigen.tuxfamily.org">Eigen</a>  <span id="projectnumber">3.2.0</span> </div> </td> <td> <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> </td> </tr> </tbody> </table> </div> <!-- end header part --> <!-- Generated by Doxygen 1.8.5 --> <script type="text/javascript"> var searchBox = new SearchBox("searchBox", "search",false,'Search'); </script> </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('GeneralBlockPanelKernel_8h_source.html','');}); </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"> </span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark"> </span>Classes</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark"> </span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark"> </span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark"> </span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark"> </span>Typedefs</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark"> </span>Enumerations</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(7)"><span class="SelectionMark"> </span>Enumerator</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(8)"><span class="SelectionMark"> </span>Friends</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(9)"><span class="SelectionMark"> </span>Groups</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(10)"><span class="SelectionMark"> </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">GeneralBlockPanelKernel.h</div> </div> </div><!--header--> <div class="contents"> <div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">// This file is part of Eigen, a lightweight C++ template library</span></div> <div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// for linear algebra.</span></div> <div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">//</span></div> <div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr></span></div> <div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment">//</span></div> <div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment">// This Source Code Form is subject to the terms of the Mozilla</span></div> <div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment">// Public License v. 2.0. If a copy of the MPL was not distributed</span></div> <div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment">// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.</span></div> <div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div> <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#ifndef EIGEN_GENERAL_BLOCK_PANEL_H</span></div> <div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor"></span><span class="preprocessor">#define EIGEN_GENERAL_BLOCK_PANEL_H</span></div> <div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor"></span></div> <div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">namespace </span>Eigen { </div> <div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  </div> <div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">namespace </span>internal {</div> <div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div> <div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">template</span><<span class="keyword">typename</span> _LhsScalar, <span class="keyword">typename</span> _RhsScalar, <span class="keywordtype">bool</span> _ConjLhs=false, <span class="keywordtype">bool</span> _ConjRhs=false></div> <div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">class </span>gebp_traits;</div> <div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div> <div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div> <div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="keyword">inline</span> std::ptrdiff_t manage_caching_sizes_helper(std::ptrdiff_t a, std::ptrdiff_t b)</div> <div class="line"><a name="l00023"></a><span class="lineno"> 23</span> {</div> <div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keywordflow">return</span> a<=0 ? b : a;</div> <div class="line"><a name="l00025"></a><span class="lineno"> 25</span> }</div> <div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div> <div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> manage_caching_sizes(Action action, std::ptrdiff_t* l1=0, std::ptrdiff_t* l2=0)</div> <div class="line"><a name="l00029"></a><span class="lineno"> 29</span> {</div> <div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keyword">static</span> std::ptrdiff_t m_l1CacheSize = 0;</div> <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keyword">static</span> std::ptrdiff_t m_l2CacheSize = 0;</div> <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">if</span>(m_l2CacheSize==0)</div> <div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  {</div> <div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  m_l1CacheSize = manage_caching_sizes_helper(queryL1CacheSize(),8 * 1024);</div> <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  m_l2CacheSize = manage_caching_sizes_helper(queryTopLevelCacheSize(),1*1024*1024);</div> <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  }</div> <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  </div> <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">if</span>(action==SetAction)</div> <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  {</div> <div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="comment">// set the cpu cache size and cache all block sizes from a global cache size in byte</span></div> <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  eigen_internal_assert(l1!=0 && l2!=0);</div> <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  m_l1CacheSize = *l1;</div> <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  m_l2CacheSize = *l2;</div> <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  }</div> <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(action==GetAction)</div> <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  {</div> <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  eigen_internal_assert(l1!=0 && l2!=0);</div> <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  *l1 = m_l1CacheSize;</div> <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  *l2 = m_l2CacheSize;</div> <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  }</div> <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">else</span></div> <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  {</div> <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  eigen_internal_assert(<span class="keyword">false</span>);</div> <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  }</div> <div class="line"><a name="l00055"></a><span class="lineno"> 55</span> }</div> <div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div> <div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsScalar, <span class="keyword">typename</span> RhsScalar, <span class="keywordtype">int</span> KcFactor, <span class="keyword">typename</span> SizeType></div> <div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="namespaceEigen_1_1internal.html#ab6f60aaf02462826d5cef1f468636660"> 73</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceEigen_1_1internal.html#ab6f60aaf02462826d5cef1f468636660">computeProductBlockingSizes</a>(SizeType& k, SizeType& m, SizeType& n)</div> <div class="line"><a name="l00074"></a><span class="lineno"> 74</span> {</div> <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  EIGEN_UNUSED_VARIABLE(n);</div> <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="comment">// Explanations:</span></div> <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="comment">// Let's recall the product algorithms form kc x nc horizontal panels B' on the rhs and</span></div> <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="comment">// mc x kc blocks A' on the lhs. A' has to fit into L2 cache. Moreover, B' is processed</span></div> <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="comment">// per kc x nr vertical small panels where nr is the blocking size along the n dimension</span></div> <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="comment">// at the register level. For vectorization purpose, these small vertical panels are unpacked,</span></div> <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="comment">// e.g., each coefficient is replicated to fit a packet. This small vertical panel has to</span></div> <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="comment">// stay in L1 cache.</span></div> <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  std::ptrdiff_t l1, l2;</div> <div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div> <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keyword">typedef</span> gebp_traits<LhsScalar,RhsScalar> Traits;</div> <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keyword">enum</span> {</div> <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  kdiv = KcFactor * 2 * Traits::nr</div> <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  * Traits::RhsProgress * <span class="keyword">sizeof</span>(RhsScalar),</div> <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  mr = gebp_traits<LhsScalar,RhsScalar>::mr,</div> <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  mr_mask = (0xffffffff/mr)*mr</div> <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  };</div> <div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div> <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  manage_caching_sizes(GetAction, &l1, &l2);</div> <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  k = std::min<SizeType>(k, l1/kdiv);</div> <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  SizeType _m = k>0 ? l2/(4 * <span class="keyword">sizeof</span>(LhsScalar) * k) : 0;</div> <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">if</span>(_m<m) m = _m & mr_mask;</div> <div class="line"><a name="l00097"></a><span class="lineno"> 97</span> }</div> <div class="line"><a name="l00098"></a><span class="lineno"> 98</span> </div> <div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsScalar, <span class="keyword">typename</span> RhsScalar, <span class="keyword">typename</span> SizeType></div> <div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespaceEigen_1_1internal.html#ab6f60aaf02462826d5cef1f468636660">computeProductBlockingSizes</a>(SizeType& k, SizeType& m, SizeType& n)</div> <div class="line"><a name="l00101"></a><span class="lineno"> 101</span> {</div> <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  computeProductBlockingSizes<LhsScalar,RhsScalar,1>(k, m, n);</div> <div class="line"><a name="l00103"></a><span class="lineno"> 103</span> }</div> <div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div> <div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="preprocessor">#ifdef EIGEN_HAS_FUSE_CJMADD</span></div> <div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="preprocessor"></span><span class="preprocessor"> #define MADD(CJ,A,B,C,T) C = CJ.pmadd(A,B,C);</span></div> <div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="preprocessor"></span><span class="preprocessor">#else</span></div> <div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="preprocessor"></span></div> <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="comment">// FIXME (a bit overkill maybe ?)</span></div> <div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div> <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keyword">template</span><<span class="keyword">typename</span> CJ, <span class="keyword">typename</span> A, <span class="keyword">typename</span> B, <span class="keyword">typename</span> C, <span class="keyword">typename</span> T> <span class="keyword">struct </span>gebp_madd_selector {</div> <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  EIGEN_ALWAYS_INLINE <span class="keyword">static</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> CJ& cj, A& a, B& b, C& c, T& <span class="comment">/*t*/</span>)</div> <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  {</div> <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  c = cj.pmadd(a,b,c);</div> <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  }</div> <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  };</div> <div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div> <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keyword">template</span><<span class="keyword">typename</span> CJ, <span class="keyword">typename</span> T> <span class="keyword">struct </span>gebp_madd_selector<CJ,T,T,T,T> {</div> <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  EIGEN_ALWAYS_INLINE <span class="keyword">static</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> CJ& cj, T& a, T& b, T& c, T& t)</div> <div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  {</div> <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  t = b; t = cj.pmul(a,t); c = padd(c,t);</div> <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  }</div> <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  };</div> <div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div> <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keyword">template</span><<span class="keyword">typename</span> CJ, <span class="keyword">typename</span> A, <span class="keyword">typename</span> B, <span class="keyword">typename</span> C, <span class="keyword">typename</span> T></div> <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> gebp_madd(<span class="keyword">const</span> CJ& cj, A& a, B& b, C& c, T& t)</div> <div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  {</div> <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  gebp_madd_selector<CJ,A,B,C,T>::run(cj,a,b,c,t);</div> <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  }</div> <div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div> <div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="preprocessor"> #define MADD(CJ,A,B,C,T) gebp_madd(CJ,A,B,C,T);</span></div> <div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="preprocessor"></span><span class="comment">// #define MADD(CJ,A,B,C,T) T = B; T = CJ.pmul(A,T); C = padd(C,T);</span></div> <div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="preprocessor">#endif</span></div> <div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="preprocessor"></span></div> <div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="comment">/* Vectorization logic</span></div> <div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="comment"> * real*real: unpack rhs to constant packets, ...</span></div> <div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="comment"> * </span></div> <div class="line"><a name="l00138"></a><span class="lineno"> 138</span> <span class="comment"> * cd*cd : unpack rhs to (b_r,b_r), (b_i,b_i), mul to get (a_r b_r,a_i b_r) (a_r b_i,a_i b_i),</span></div> <div class="line"><a name="l00139"></a><span class="lineno"> 139</span> <span class="comment"> * storing each res packet into two packets (2x2),</span></div> <div class="line"><a name="l00140"></a><span class="lineno"> 140</span> <span class="comment"> * at the end combine them: swap the second and addsub them </span></div> <div class="line"><a name="l00141"></a><span class="lineno"> 141</span> <span class="comment"> * cf*cf : same but with 2x4 blocks</span></div> <div class="line"><a name="l00142"></a><span class="lineno"> 142</span> <span class="comment"> * cplx*real : unpack rhs to constant packets, ...</span></div> <div class="line"><a name="l00143"></a><span class="lineno"> 143</span> <span class="comment"> * real*cplx : load lhs as (a0,a0,a1,a1), and mul as usual</span></div> <div class="line"><a name="l00144"></a><span class="lineno"> 144</span> <span class="comment"> */</span></div> <div class="line"><a name="l00145"></a><span class="lineno"> 145</span> <span class="keyword">template</span><<span class="keyword">typename</span> _LhsScalar, <span class="keyword">typename</span> _RhsScalar, <span class="keywordtype">bool</span> _ConjLhs, <span class="keywordtype">bool</span> _ConjRhs></div> <div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <span class="keyword">class </span>gebp_traits</div> <div class="line"><a name="l00147"></a><span class="lineno"> 147</span> {</div> <div class="line"><a name="l00148"></a><span class="lineno"> 148</span> <span class="keyword">public</span>:</div> <div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keyword">typedef</span> _LhsScalar LhsScalar;</div> <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keyword">typedef</span> _RhsScalar RhsScalar;</div> <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> scalar_product_traits<LhsScalar, RhsScalar>::ReturnType ResScalar;</div> <div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div> <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keyword">enum</span> {</div> <div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  ConjLhs = _ConjLhs,</div> <div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  ConjRhs = _ConjRhs,</div> <div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  Vectorizable = packet_traits<LhsScalar>::Vectorizable && packet_traits<RhsScalar>::Vectorizable,</div> <div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  LhsPacketSize = Vectorizable ? packet_traits<LhsScalar>::size : 1,</div> <div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  RhsPacketSize = Vectorizable ? packet_traits<RhsScalar>::size : 1,</div> <div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  ResPacketSize = Vectorizable ? packet_traits<ResScalar>::size : 1,</div> <div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  </div> <div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  NumberOfRegisters = EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS,</div> <div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div> <div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="comment">// register block size along the N direction (must be either 2 or 4)</span></div> <div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  nr = NumberOfRegisters/4,</div> <div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div> <div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="comment">// register block size along the M direction (currently, this one cannot be modified)</span></div> <div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  mr = 2 * LhsPacketSize,</div> <div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  </div> <div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  WorkSpaceFactor = nr * RhsPacketSize,</div> <div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div> <div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  LhsProgress = LhsPacketSize,</div> <div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  RhsProgress = RhsPacketSize</div> <div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  };</div> <div class="line"><a name="l00174"></a><span class="lineno"> 174</span> </div> <div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<LhsScalar>::type _LhsPacket;</div> <div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<RhsScalar>::type _RhsPacket;</div> <div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<ResScalar>::type _ResPacket;</div> <div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div> <div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;</div> <div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;</div> <div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;</div> <div class="line"><a name="l00182"></a><span class="lineno"> 182</span> </div> <div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keyword">typedef</span> ResPacket AccPacket;</div> <div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  </div> <div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> initAcc(AccPacket& p)</div> <div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  {</div> <div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  p = pset1<ResPacket>(ResScalar(0));</div> <div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  }</div> <div class="line"><a name="l00189"></a><span class="lineno"> 189</span> </div> <div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> unpackRhs(DenseIndex n, <span class="keyword">const</span> RhsScalar* rhs, RhsScalar* b)</div> <div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  {</div> <div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">for</span>(DenseIndex k=0; k<n; k++)</div> <div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  pstore1<RhsPacket>(&b[k*RhsPacketSize], rhs[k]);</div> <div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  }</div> <div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div> <div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> loadRhs(<span class="keyword">const</span> RhsScalar* b, RhsPacket& dest)<span class="keyword"> const</span></div> <div class="line"><a name="l00197"></a><span class="lineno"> 197</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  dest = pload<RhsPacket>(b);</div> <div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  }</div> <div class="line"><a name="l00200"></a><span class="lineno"> 200</span> </div> <div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> loadLhs(<span class="keyword">const</span> LhsScalar* a, LhsPacket& dest)<span class="keyword"> const</span></div> <div class="line"><a name="l00202"></a><span class="lineno"> 202</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  dest = pload<LhsPacket>(a);</div> <div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  }</div> <div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div> <div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> madd(<span class="keyword">const</span> LhsPacket& a, <span class="keyword">const</span> RhsPacket& b, AccPacket& c, AccPacket& tmp)<span class="keyword"> const</span></div> <div class="line"><a name="l00207"></a><span class="lineno"> 207</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  tmp = b; tmp = pmul(a,tmp); c = padd(c,tmp);</div> <div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  }</div> <div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div> <div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> acc(<span class="keyword">const</span> AccPacket& c, <span class="keyword">const</span> ResPacket& alpha, ResPacket& r)<span class="keyword"> const</span></div> <div class="line"><a name="l00212"></a><span class="lineno"> 212</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  r = pmadd(c,alpha,r);</div> <div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  }</div> <div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div> <div class="line"><a name="l00216"></a><span class="lineno"> 216</span> <span class="keyword">protected</span>:</div> <div class="line"><a name="l00217"></a><span class="lineno"> 217</span> <span class="comment">// conj_helper<LhsScalar,RhsScalar,ConjLhs,ConjRhs> cj;</span></div> <div class="line"><a name="l00218"></a><span class="lineno"> 218</span> <span class="comment">// conj_helper<LhsPacket,RhsPacket,ConjLhs,ConjRhs> pcj;</span></div> <div class="line"><a name="l00219"></a><span class="lineno"> 219</span> };</div> <div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div> <div class="line"><a name="l00221"></a><span class="lineno"> 221</span> <span class="keyword">template</span><<span class="keyword">typename</span> RealScalar, <span class="keywordtype">bool</span> _ConjLhs></div> <div class="line"><a name="l00222"></a><span class="lineno"> 222</span> <span class="keyword">class </span>gebp_traits<std::complex<RealScalar>, RealScalar, _ConjLhs, false></div> <div class="line"><a name="l00223"></a><span class="lineno"> 223</span> {</div> <div class="line"><a name="l00224"></a><span class="lineno"> 224</span> <span class="keyword">public</span>:</div> <div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keyword">typedef</span> std::complex<RealScalar> LhsScalar;</div> <div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keyword">typedef</span> RealScalar RhsScalar;</div> <div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> scalar_product_traits<LhsScalar, RhsScalar>::ReturnType ResScalar;</div> <div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div> <div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keyword">enum</span> {</div> <div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  ConjLhs = _ConjLhs,</div> <div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  ConjRhs = <span class="keyword">false</span>,</div> <div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  Vectorizable = packet_traits<LhsScalar>::Vectorizable && packet_traits<RhsScalar>::Vectorizable,</div> <div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  LhsPacketSize = Vectorizable ? packet_traits<LhsScalar>::size : 1,</div> <div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  RhsPacketSize = Vectorizable ? packet_traits<RhsScalar>::size : 1,</div> <div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  ResPacketSize = Vectorizable ? packet_traits<ResScalar>::size : 1,</div> <div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  </div> <div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  NumberOfRegisters = EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS,</div> <div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  nr = NumberOfRegisters/4,</div> <div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  mr = 2 * LhsPacketSize,</div> <div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  WorkSpaceFactor = nr*RhsPacketSize,</div> <div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div> <div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  LhsProgress = LhsPacketSize,</div> <div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  RhsProgress = RhsPacketSize</div> <div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  };</div> <div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </div> <div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<LhsScalar>::type _LhsPacket;</div> <div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<RhsScalar>::type _RhsPacket;</div> <div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<ResScalar>::type _ResPacket;</div> <div class="line"><a name="l00249"></a><span class="lineno"> 249</span> </div> <div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;</div> <div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;</div> <div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;</div> <div class="line"><a name="l00253"></a><span class="lineno"> 253</span> </div> <div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keyword">typedef</span> ResPacket AccPacket;</div> <div class="line"><a name="l00255"></a><span class="lineno"> 255</span> </div> <div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> initAcc(AccPacket& p)</div> <div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  {</div> <div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  p = pset1<ResPacket>(ResScalar(0));</div> <div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  }</div> <div class="line"><a name="l00260"></a><span class="lineno"> 260</span> </div> <div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> unpackRhs(DenseIndex n, <span class="keyword">const</span> RhsScalar* rhs, RhsScalar* b)</div> <div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  {</div> <div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keywordflow">for</span>(DenseIndex k=0; k<n; k++)</div> <div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  pstore1<RhsPacket>(&b[k*RhsPacketSize], rhs[k]);</div> <div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  }</div> <div class="line"><a name="l00266"></a><span class="lineno"> 266</span> </div> <div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> loadRhs(<span class="keyword">const</span> RhsScalar* b, RhsPacket& dest)<span class="keyword"> const</span></div> <div class="line"><a name="l00268"></a><span class="lineno"> 268</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  dest = pload<RhsPacket>(b);</div> <div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  }</div> <div class="line"><a name="l00271"></a><span class="lineno"> 271</span> </div> <div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> loadLhs(<span class="keyword">const</span> LhsScalar* a, LhsPacket& dest)<span class="keyword"> const</span></div> <div class="line"><a name="l00273"></a><span class="lineno"> 273</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  dest = pload<LhsPacket>(a);</div> <div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  }</div> <div class="line"><a name="l00276"></a><span class="lineno"> 276</span> </div> <div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> madd(<span class="keyword">const</span> LhsPacket& a, <span class="keyword">const</span> RhsPacket& b, AccPacket& c, RhsPacket& tmp)<span class="keyword"> const</span></div> <div class="line"><a name="l00278"></a><span class="lineno"> 278</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  madd_impl(a, b, c, tmp, <span class="keyword">typename</span> conditional<Vectorizable,true_type,false_type>::type());</div> <div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  }</div> <div class="line"><a name="l00281"></a><span class="lineno"> 281</span> </div> <div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> madd_impl(<span class="keyword">const</span> LhsPacket& a, <span class="keyword">const</span> RhsPacket& b, AccPacket& c, RhsPacket& tmp, <span class="keyword">const</span> true_type&)<span class="keyword"> const</span></div> <div class="line"><a name="l00283"></a><span class="lineno"> 283</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  tmp = b; tmp = pmul(a.v,tmp); c.v = padd(c.v,tmp);</div> <div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  }</div> <div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div> <div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> madd_impl(<span class="keyword">const</span> LhsScalar& a, <span class="keyword">const</span> RhsScalar& b, ResScalar& c, RhsScalar& <span class="comment">/*tmp*/</span>, <span class="keyword">const</span> false_type&)<span class="keyword"> const</span></div> <div class="line"><a name="l00288"></a><span class="lineno"> 288</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  c += a * b;</div> <div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  }</div> <div class="line"><a name="l00291"></a><span class="lineno"> 291</span> </div> <div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> acc(<span class="keyword">const</span> AccPacket& c, <span class="keyword">const</span> ResPacket& alpha, ResPacket& r)<span class="keyword"> const</span></div> <div class="line"><a name="l00293"></a><span class="lineno"> 293</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  r = cj.pmadd(c,alpha,r);</div> <div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  }</div> <div class="line"><a name="l00296"></a><span class="lineno"> 296</span> </div> <div class="line"><a name="l00297"></a><span class="lineno"> 297</span> <span class="keyword">protected</span>:</div> <div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  conj_helper<ResPacket,ResPacket,ConjLhs,false> cj;</div> <div class="line"><a name="l00299"></a><span class="lineno"> 299</span> };</div> <div class="line"><a name="l00300"></a><span class="lineno"> 300</span> </div> <div class="line"><a name="l00301"></a><span class="lineno"> 301</span> <span class="keyword">template</span><<span class="keyword">typename</span> RealScalar, <span class="keywordtype">bool</span> _ConjLhs, <span class="keywordtype">bool</span> _ConjRhs></div> <div class="line"><a name="l00302"></a><span class="lineno"> 302</span> <span class="keyword">class </span>gebp_traits<std::complex<RealScalar>, std::complex<RealScalar>, _ConjLhs, _ConjRhs ></div> <div class="line"><a name="l00303"></a><span class="lineno"> 303</span> {</div> <div class="line"><a name="l00304"></a><span class="lineno"> 304</span> <span class="keyword">public</span>:</div> <div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keyword">typedef</span> std::complex<RealScalar> Scalar;</div> <div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keyword">typedef</span> std::complex<RealScalar> LhsScalar;</div> <div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keyword">typedef</span> std::complex<RealScalar> RhsScalar;</div> <div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keyword">typedef</span> std::complex<RealScalar> ResScalar;</div> <div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  </div> <div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keyword">enum</span> {</div> <div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  ConjLhs = _ConjLhs,</div> <div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  ConjRhs = _ConjRhs,</div> <div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  Vectorizable = packet_traits<RealScalar>::Vectorizable</div> <div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  && packet_traits<Scalar>::Vectorizable,</div> <div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  RealPacketSize = Vectorizable ? packet_traits<RealScalar>::size : 1,</div> <div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  ResPacketSize = Vectorizable ? packet_traits<ResScalar>::size : 1,</div> <div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  </div> <div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  nr = 2,</div> <div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  mr = 2 * ResPacketSize,</div> <div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  WorkSpaceFactor = Vectorizable ? 2*nr*RealPacketSize : nr,</div> <div class="line"><a name="l00321"></a><span class="lineno"> 321</span> </div> <div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  LhsProgress = ResPacketSize,</div> <div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  RhsProgress = Vectorizable ? 2*ResPacketSize : 1</div> <div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  };</div> <div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  </div> <div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<RealScalar>::type RealPacket;</div> <div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<Scalar>::type ScalarPacket;</div> <div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keyword">struct </span>DoublePacket</div> <div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  {</div> <div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  RealPacket first;</div> <div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  RealPacket second;</div> <div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  };</div> <div class="line"><a name="l00333"></a><span class="lineno"> 333</span> </div> <div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Vectorizable,RealPacket, Scalar>::type LhsPacket;</div> <div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Vectorizable,DoublePacket,Scalar>::type RhsPacket;</div> <div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Vectorizable,ScalarPacket,Scalar>::type ResPacket;</div> <div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Vectorizable,DoublePacket,Scalar>::type AccPacket;</div> <div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  </div> <div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> initAcc(Scalar& p) { p = Scalar(0); }</div> <div class="line"><a name="l00340"></a><span class="lineno"> 340</span> </div> <div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> initAcc(DoublePacket& p)</div> <div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  {</div> <div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  p.first = pset1<RealPacket>(RealScalar(0));</div> <div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  p.second = pset1<RealPacket>(RealScalar(0));</div> <div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  }</div> <div class="line"><a name="l00346"></a><span class="lineno"> 346</span> </div> <div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="comment">/* Unpack the rhs coeff such that each complex coefficient is spread into</span></div> <div class="line"><a name="l00348"></a><span class="lineno"> 348</span> <span class="comment"> * two packects containing respectively the real and imaginary coefficient</span></div> <div class="line"><a name="l00349"></a><span class="lineno"> 349</span> <span class="comment"> * duplicated as many time as needed: (x+iy) => [x, ..., x] [y, ..., y]</span></div> <div class="line"><a name="l00350"></a><span class="lineno"> 350</span> <span class="comment"> */</span></div> <div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> unpackRhs(DenseIndex n, <span class="keyword">const</span> Scalar* rhs, Scalar* b)</div> <div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  {</div> <div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keywordflow">for</span>(DenseIndex k=0; k<n; k++)</div> <div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  {</div> <div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keywordflow">if</span>(Vectorizable)</div> <div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  {</div> <div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  pstore1<RealPacket>((RealScalar*)&b[k*ResPacketSize*2+0], real(rhs[k]));</div> <div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  pstore1<RealPacket>((RealScalar*)&b[k*ResPacketSize*2+ResPacketSize], imag(rhs[k]));</div> <div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  }</div> <div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="keywordflow">else</span></div> <div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  b[k] = rhs[k];</div> <div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  }</div> <div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  }</div> <div class="line"><a name="l00364"></a><span class="lineno"> 364</span> </div> <div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> loadRhs(<span class="keyword">const</span> RhsScalar* b, ResPacket& dest)<span class="keyword"> const </span>{ dest = *b; }</div> <div class="line"><a name="l00366"></a><span class="lineno"> 366</span> </div> <div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> loadRhs(<span class="keyword">const</span> RhsScalar* b, DoublePacket& dest)<span class="keyword"> const</span></div> <div class="line"><a name="l00368"></a><span class="lineno"> 368</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  dest.first = pload<RealPacket>((<span class="keyword">const</span> RealScalar*)b);</div> <div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  dest.second = pload<RealPacket>((<span class="keyword">const</span> RealScalar*)(b+ResPacketSize));</div> <div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  }</div> <div class="line"><a name="l00372"></a><span class="lineno"> 372</span> </div> <div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="comment">// nothing special here</span></div> <div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> loadLhs(<span class="keyword">const</span> LhsScalar* a, LhsPacket& dest)<span class="keyword"> const</span></div> <div class="line"><a name="l00375"></a><span class="lineno"> 375</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  dest = pload<LhsPacket>((<span class="keyword">const</span> <span class="keyword">typename</span> unpacket_traits<LhsPacket>::type*)(a));</div> <div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  }</div> <div class="line"><a name="l00378"></a><span class="lineno"> 378</span> </div> <div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> madd(<span class="keyword">const</span> LhsPacket& a, <span class="keyword">const</span> RhsPacket& b, DoublePacket& c, RhsPacket& <span class="comment">/*tmp*/</span>)<span class="keyword"> const</span></div> <div class="line"><a name="l00380"></a><span class="lineno"> 380</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  c.first = padd(pmul(a,b.first), c.first);</div> <div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  c.second = padd(pmul(a,b.second),c.second);</div> <div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  }</div> <div class="line"><a name="l00384"></a><span class="lineno"> 384</span> </div> <div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> madd(<span class="keyword">const</span> LhsPacket& a, <span class="keyword">const</span> RhsPacket& b, ResPacket& c, RhsPacket& <span class="comment">/*tmp*/</span>)<span class="keyword"> const</span></div> <div class="line"><a name="l00386"></a><span class="lineno"> 386</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  c = cj.pmadd(a,b,c);</div> <div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  }</div> <div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  </div> <div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> acc(<span class="keyword">const</span> Scalar& c, <span class="keyword">const</span> Scalar& alpha, Scalar& r)<span class="keyword"> const </span>{ r += alpha * c; }</div> <div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  </div> <div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> acc(<span class="keyword">const</span> DoublePacket& c, <span class="keyword">const</span> ResPacket& alpha, ResPacket& r)<span class="keyword"> const</span></div> <div class="line"><a name="l00393"></a><span class="lineno"> 393</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="comment">// assemble c</span></div> <div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  ResPacket tmp;</div> <div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keywordflow">if</span>((!ConjLhs)&&(!ConjRhs))</div> <div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  {</div> <div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  tmp = pcplxflip(pconj(ResPacket(c.second)));</div> <div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  tmp = padd(ResPacket(c.first),tmp);</div> <div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  }</div> <div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>((!ConjLhs)&&(ConjRhs))</div> <div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  {</div> <div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  tmp = pconj(pcplxflip(ResPacket(c.second)));</div> <div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  tmp = padd(ResPacket(c.first),tmp);</div> <div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  }</div> <div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>((ConjLhs)&&(!ConjRhs))</div> <div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  {</div> <div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  tmp = pcplxflip(ResPacket(c.second));</div> <div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  tmp = padd(pconj(ResPacket(c.first)),tmp);</div> <div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  }</div> <div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>((ConjLhs)&&(ConjRhs))</div> <div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  {</div> <div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  tmp = pcplxflip(ResPacket(c.second));</div> <div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  tmp = psub(pconj(ResPacket(c.first)),tmp);</div> <div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  }</div> <div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  </div> <div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  r = pmadd(tmp,alpha,r);</div> <div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  }</div> <div class="line"><a name="l00419"></a><span class="lineno"> 419</span> </div> <div class="line"><a name="l00420"></a><span class="lineno"> 420</span> <span class="keyword">protected</span>:</div> <div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  conj_helper<LhsScalar,RhsScalar,ConjLhs,ConjRhs> cj;</div> <div class="line"><a name="l00422"></a><span class="lineno"> 422</span> };</div> <div class="line"><a name="l00423"></a><span class="lineno"> 423</span> </div> <div class="line"><a name="l00424"></a><span class="lineno"> 424</span> <span class="keyword">template</span><<span class="keyword">typename</span> RealScalar, <span class="keywordtype">bool</span> _ConjRhs></div> <div class="line"><a name="l00425"></a><span class="lineno"> 425</span> <span class="keyword">class </span>gebp_traits<RealScalar, std::complex<RealScalar>, false, _ConjRhs ></div> <div class="line"><a name="l00426"></a><span class="lineno"> 426</span> {</div> <div class="line"><a name="l00427"></a><span class="lineno"> 427</span> <span class="keyword">public</span>:</div> <div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keyword">typedef</span> std::complex<RealScalar> Scalar;</div> <div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keyword">typedef</span> RealScalar LhsScalar;</div> <div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="keyword">typedef</span> Scalar RhsScalar;</div> <div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <span class="keyword">typedef</span> Scalar ResScalar;</div> <div class="line"><a name="l00432"></a><span class="lineno"> 432</span> </div> <div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keyword">enum</span> {</div> <div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  ConjLhs = <span class="keyword">false</span>,</div> <div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  ConjRhs = _ConjRhs,</div> <div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  Vectorizable = packet_traits<RealScalar>::Vectorizable</div> <div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  && packet_traits<Scalar>::Vectorizable,</div> <div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  LhsPacketSize = Vectorizable ? packet_traits<LhsScalar>::size : 1,</div> <div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  RhsPacketSize = Vectorizable ? packet_traits<RhsScalar>::size : 1,</div> <div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  ResPacketSize = Vectorizable ? packet_traits<ResScalar>::size : 1,</div> <div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  </div> <div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  NumberOfRegisters = EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS,</div> <div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  nr = 4,</div> <div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  mr = 2*ResPacketSize,</div> <div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  WorkSpaceFactor = nr*RhsPacketSize,</div> <div class="line"><a name="l00446"></a><span class="lineno"> 446</span> </div> <div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  LhsProgress = ResPacketSize,</div> <div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  RhsProgress = ResPacketSize</div> <div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  };</div> <div class="line"><a name="l00450"></a><span class="lineno"> 450</span> </div> <div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<LhsScalar>::type _LhsPacket;</div> <div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<RhsScalar>::type _RhsPacket;</div> <div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<ResScalar>::type _ResPacket;</div> <div class="line"><a name="l00454"></a><span class="lineno"> 454</span> </div> <div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;</div> <div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;</div> <div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;</div> <div class="line"><a name="l00458"></a><span class="lineno"> 458</span> </div> <div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keyword">typedef</span> ResPacket AccPacket;</div> <div class="line"><a name="l00460"></a><span class="lineno"> 460</span> </div> <div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> initAcc(AccPacket& p)</div> <div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  {</div> <div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  p = pset1<ResPacket>(ResScalar(0));</div> <div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  }</div> <div class="line"><a name="l00465"></a><span class="lineno"> 465</span> </div> <div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> unpackRhs(DenseIndex n, <span class="keyword">const</span> RhsScalar* rhs, RhsScalar* b)</div> <div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  {</div> <div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keywordflow">for</span>(DenseIndex k=0; k<n; k++)</div> <div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  pstore1<RhsPacket>(&b[k*RhsPacketSize], rhs[k]);</div> <div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  }</div> <div class="line"><a name="l00471"></a><span class="lineno"> 471</span> </div> <div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> loadRhs(<span class="keyword">const</span> RhsScalar* b, RhsPacket& dest)<span class="keyword"> const</span></div> <div class="line"><a name="l00473"></a><span class="lineno"> 473</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  dest = pload<RhsPacket>(b);</div> <div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  }</div> <div class="line"><a name="l00476"></a><span class="lineno"> 476</span> </div> <div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> loadLhs(<span class="keyword">const</span> LhsScalar* a, LhsPacket& dest)<span class="keyword"> const</span></div> <div class="line"><a name="l00478"></a><span class="lineno"> 478</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  dest = ploaddup<LhsPacket>(a);</div> <div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  }</div> <div class="line"><a name="l00481"></a><span class="lineno"> 481</span> </div> <div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> madd(<span class="keyword">const</span> LhsPacket& a, <span class="keyword">const</span> RhsPacket& b, AccPacket& c, RhsPacket& tmp)<span class="keyword"> const</span></div> <div class="line"><a name="l00483"></a><span class="lineno"> 483</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  madd_impl(a, b, c, tmp, <span class="keyword">typename</span> conditional<Vectorizable,true_type,false_type>::type());</div> <div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  }</div> <div class="line"><a name="l00486"></a><span class="lineno"> 486</span> </div> <div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> madd_impl(<span class="keyword">const</span> LhsPacket& a, <span class="keyword">const</span> RhsPacket& b, AccPacket& c, RhsPacket& tmp, <span class="keyword">const</span> true_type&)<span class="keyword"> const</span></div> <div class="line"><a name="l00488"></a><span class="lineno"> 488</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  tmp = b; tmp.v = pmul(a,tmp.v); c = padd(c,tmp);</div> <div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  }</div> <div class="line"><a name="l00491"></a><span class="lineno"> 491</span> </div> <div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> madd_impl(<span class="keyword">const</span> LhsScalar& a, <span class="keyword">const</span> RhsScalar& b, ResScalar& c, RhsScalar& <span class="comment">/*tmp*/</span>, <span class="keyword">const</span> false_type&)<span class="keyword"> const</span></div> <div class="line"><a name="l00493"></a><span class="lineno"> 493</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  c += a * b;</div> <div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  }</div> <div class="line"><a name="l00496"></a><span class="lineno"> 496</span> </div> <div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> acc(<span class="keyword">const</span> AccPacket& c, <span class="keyword">const</span> ResPacket& alpha, ResPacket& r)<span class="keyword"> const</span></div> <div class="line"><a name="l00498"></a><span class="lineno"> 498</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  r = cj.pmadd(alpha,c,r);</div> <div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  }</div> <div class="line"><a name="l00501"></a><span class="lineno"> 501</span> </div> <div class="line"><a name="l00502"></a><span class="lineno"> 502</span> <span class="keyword">protected</span>:</div> <div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  conj_helper<ResPacket,ResPacket,false,ConjRhs> cj;</div> <div class="line"><a name="l00504"></a><span class="lineno"> 504</span> };</div> <div class="line"><a name="l00505"></a><span class="lineno"> 505</span> </div> <div class="line"><a name="l00506"></a><span class="lineno"> 506</span> <span class="comment">/* optimized GEneral packed Block * packed Panel product kernel</span></div> <div class="line"><a name="l00507"></a><span class="lineno"> 507</span> <span class="comment"> *</span></div> <div class="line"><a name="l00508"></a><span class="lineno"> 508</span> <span class="comment"> * Mixing type logic: C += A * B</span></div> <div class="line"><a name="l00509"></a><span class="lineno"> 509</span> <span class="comment"> * | A | B | comments</span></div> <div class="line"><a name="l00510"></a><span class="lineno"> 510</span> <span class="comment"> * |real |cplx | no vectorization yet, would require to pack A with duplication</span></div> <div class="line"><a name="l00511"></a><span class="lineno"> 511</span> <span class="comment"> * |cplx |real | easy vectorization</span></div> <div class="line"><a name="l00512"></a><span class="lineno"> 512</span> <span class="comment"> */</span></div> <div class="line"><a name="l00513"></a><span class="lineno"> 513</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsScalar, <span class="keyword">typename</span> RhsScalar, <span class="keyword">typename</span> Index, <span class="keywordtype">int</span> mr, <span class="keywordtype">int</span> nr, <span class="keywordtype">bool</span> ConjugateLhs, <span class="keywordtype">bool</span> ConjugateRhs></div> <div class="line"><a name="l00514"></a><span class="lineno"> 514</span> <span class="keyword">struct </span>gebp_kernel</div> <div class="line"><a name="l00515"></a><span class="lineno"> 515</span> {</div> <div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keyword">typedef</span> gebp_traits<LhsScalar,RhsScalar,ConjugateLhs,ConjugateRhs> Traits;</div> <div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Traits::ResScalar ResScalar;</div> <div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Traits::LhsPacket LhsPacket;</div> <div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Traits::RhsPacket RhsPacket;</div> <div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Traits::ResPacket ResPacket;</div> <div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Traits::AccPacket AccPacket;</div> <div class="line"><a name="l00522"></a><span class="lineno"> 522</span> </div> <div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="keyword">enum</span> {</div> <div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  Vectorizable = Traits::Vectorizable,</div> <div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  LhsProgress = Traits::LhsProgress,</div> <div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  RhsProgress = Traits::RhsProgress,</div> <div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  ResPacketSize = Traits::ResPacketSize</div> <div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  };</div> <div class="line"><a name="l00529"></a><span class="lineno"> 529</span> </div> <div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  EIGEN_DONT_INLINE</div> <div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <span class="keywordtype">void</span> operator()(ResScalar* res, Index resStride, <span class="keyword">const</span> LhsScalar* blockA, <span class="keyword">const</span> RhsScalar* blockB, Index rows, Index depth, Index cols, ResScalar alpha,</div> <div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  Index strideA=-1, Index strideB=-1, Index offsetA=0, Index offsetB=0, RhsScalar* unpackedB=0);</div> <div class="line"><a name="l00533"></a><span class="lineno"> 533</span> };</div> <div class="line"><a name="l00534"></a><span class="lineno"> 534</span> </div> <div class="line"><a name="l00535"></a><span class="lineno"> 535</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsScalar, <span class="keyword">typename</span> RhsScalar, <span class="keyword">typename</span> Index, <span class="keywordtype">int</span> mr, <span class="keywordtype">int</span> nr, <span class="keywordtype">bool</span> ConjugateLhs, <span class="keywordtype">bool</span> ConjugateRhs></div> <div class="line"><a name="l00536"></a><span class="lineno"> 536</span> EIGEN_DONT_INLINE</div> <div class="line"><a name="l00537"></a><span class="lineno"> 537</span> <span class="keywordtype">void</span> gebp_kernel<LhsScalar,RhsScalar,Index,mr,nr,ConjugateLhs,ConjugateRhs></div> <div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  ::operator()(ResScalar* res, Index resStride, <span class="keyword">const</span> LhsScalar* blockA, <span class="keyword">const</span> RhsScalar* blockB, Index rows, Index depth, Index cols, ResScalar alpha,</div> <div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  Index strideA, Index strideB, Index offsetA, Index offsetB, RhsScalar* unpackedB)</div> <div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  {</div> <div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  Traits traits;</div> <div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  </div> <div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <span class="keywordflow">if</span>(strideA==-1) strideA = depth;</div> <div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="keywordflow">if</span>(strideB==-1) strideB = depth;</div> <div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  conj_helper<LhsScalar,RhsScalar,ConjugateLhs,ConjugateRhs> cj;</div> <div class="line"><a name="l00546"></a><span class="lineno"> 546</span> <span class="comment">// conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;</span></div> <div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  Index packet_cols = (cols/nr) * nr;</div> <div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="keyword">const</span> Index peeled_mc = (rows/mr)*mr;</div> <div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="comment">// FIXME:</span></div> <div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="keyword">const</span> Index peeled_mc2 = peeled_mc + (rows-peeled_mc >= LhsProgress ? LhsProgress : 0);</div> <div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="keyword">const</span> Index peeled_kc = (depth/4)*4;</div> <div class="line"><a name="l00552"></a><span class="lineno"> 552</span> </div> <div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="keywordflow">if</span>(unpackedB==0)</div> <div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  unpackedB = <span class="keyword">const_cast<</span>RhsScalar*<span class="keyword">></span>(blockB - strideB * nr * RhsProgress);</div> <div class="line"><a name="l00555"></a><span class="lineno"> 555</span> </div> <div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="comment">// loops on each micro vertical panel of rhs (depth x nr)</span></div> <div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="keywordflow">for</span>(Index j2=0; j2<packet_cols; j2+=nr)</div> <div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  {</div> <div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  traits.unpackRhs(depth*nr,&blockB[j2*strideB+offsetB*nr],unpackedB); </div> <div class="line"><a name="l00560"></a><span class="lineno"> 560</span> </div> <div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <span class="comment">// loops on each largest micro horizontal panel of lhs (mr x depth)</span></div> <div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <span class="comment">// => we select a mr x nr micro block of res which is entirely</span></div> <div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <span class="comment">// stored into mr/packet_size x nr registers.</span></div> <div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="keywordflow">for</span>(Index i=0; i<peeled_mc; i+=mr)</div> <div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  {</div> <div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <span class="keyword">const</span> LhsScalar* blA = &blockA[i*strideA+offsetA*mr];</div> <div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  prefetch(&blA[0]);</div> <div class="line"><a name="l00568"></a><span class="lineno"> 568</span> </div> <div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="comment">// gets res block as register</span></div> <div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  AccPacket C0, C1, C2, C3, C4, C5, C6, C7;</div> <div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  traits.initAcc(C0);</div> <div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  traits.initAcc(C1);</div> <div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <span class="keywordflow">if</span>(nr==4) traits.initAcc(C2);</div> <div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <span class="keywordflow">if</span>(nr==4) traits.initAcc(C3);</div> <div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  traits.initAcc(C4);</div> <div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  traits.initAcc(C5);</div> <div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="keywordflow">if</span>(nr==4) traits.initAcc(C6);</div> <div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <span class="keywordflow">if</span>(nr==4) traits.initAcc(C7);</div> <div class="line"><a name="l00579"></a><span class="lineno"> 579</span> </div> <div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  ResScalar* r0 = &res[(j2+0)*resStride + i];</div> <div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  ResScalar* r1 = r0 + resStride;</div> <div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  ResScalar* r2 = r1 + resStride;</div> <div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  ResScalar* r3 = r2 + resStride;</div> <div class="line"><a name="l00584"></a><span class="lineno"> 584</span> </div> <div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  prefetch(r0+16);</div> <div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  prefetch(r1+16);</div> <div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  prefetch(r2+16);</div> <div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  prefetch(r3+16);</div> <div class="line"><a name="l00589"></a><span class="lineno"> 589</span> </div> <div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <span class="comment">// performs "inner" product</span></div> <div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <span class="comment">// TODO let's check wether the folowing peeled loop could not be</span></div> <div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <span class="comment">// optimized via optimal prefetching from one loop to the other</span></div> <div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <span class="keyword">const</span> RhsScalar* blB = unpackedB;</div> <div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keywordflow">for</span>(Index k=0; k<peeled_kc; k+=4)</div> <div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  {</div> <div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="keywordflow">if</span>(nr==2)</div> <div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  {</div> <div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  LhsPacket A0, A1;</div> <div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  RhsPacket B_0;</div> <div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  RhsPacket T0;</div> <div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  </div> <div class="line"><a name="l00602"></a><span class="lineno"> 602</span> EIGEN_ASM_COMMENT(<span class="stringliteral">"mybegin2"</span>);</div> <div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  traits.loadLhs(&blA[0*LhsProgress], A0);</div> <div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  traits.loadLhs(&blA[1*LhsProgress], A1);</div> <div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  traits.loadRhs(&blB[0*RhsProgress], B_0);</div> <div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  traits.madd(A0,B_0,C0,T0);</div> <div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  traits.madd(A1,B_0,C4,B_0);</div> <div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  traits.loadRhs(&blB[1*RhsProgress], B_0);</div> <div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  traits.madd(A0,B_0,C1,T0);</div> <div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  traits.madd(A1,B_0,C5,B_0);</div> <div class="line"><a name="l00611"></a><span class="lineno"> 611</span> </div> <div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  traits.loadLhs(&blA[2*LhsProgress], A0);</div> <div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  traits.loadLhs(&blA[3*LhsProgress], A1);</div> <div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  traits.loadRhs(&blB[2*RhsProgress], B_0);</div> <div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  traits.madd(A0,B_0,C0,T0);</div> <div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  traits.madd(A1,B_0,C4,B_0);</div> <div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  traits.loadRhs(&blB[3*RhsProgress], B_0);</div> <div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  traits.madd(A0,B_0,C1,T0);</div> <div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  traits.madd(A1,B_0,C5,B_0);</div> <div class="line"><a name="l00620"></a><span class="lineno"> 620</span> </div> <div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  traits.loadLhs(&blA[4*LhsProgress], A0);</div> <div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  traits.loadLhs(&blA[5*LhsProgress], A1);</div> <div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  traits.loadRhs(&blB[4*RhsProgress], B_0);</div> <div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  traits.madd(A0,B_0,C0,T0);</div> <div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  traits.madd(A1,B_0,C4,B_0);</div> <div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  traits.loadRhs(&blB[5*RhsProgress], B_0);</div> <div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  traits.madd(A0,B_0,C1,T0);</div> <div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  traits.madd(A1,B_0,C5,B_0);</div> <div class="line"><a name="l00629"></a><span class="lineno"> 629</span> </div> <div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  traits.loadLhs(&blA[6*LhsProgress], A0);</div> <div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  traits.loadLhs(&blA[7*LhsProgress], A1);</div> <div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  traits.loadRhs(&blB[6*RhsProgress], B_0);</div> <div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  traits.madd(A0,B_0,C0,T0);</div> <div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  traits.madd(A1,B_0,C4,B_0);</div> <div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  traits.loadRhs(&blB[7*RhsProgress], B_0);</div> <div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  traits.madd(A0,B_0,C1,T0);</div> <div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  traits.madd(A1,B_0,C5,B_0);</div> <div class="line"><a name="l00638"></a><span class="lineno"> 638</span> EIGEN_ASM_COMMENT(<span class="stringliteral">"myend"</span>);</div> <div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  }</div> <div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  <span class="keywordflow">else</span></div> <div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  {</div> <div class="line"><a name="l00642"></a><span class="lineno"> 642</span> EIGEN_ASM_COMMENT(<span class="stringliteral">"mybegin4"</span>);</div> <div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  LhsPacket A0, A1;</div> <div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  RhsPacket B_0, B1, B2, B3;</div> <div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  RhsPacket T0;</div> <div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  </div> <div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  traits.loadLhs(&blA[0*LhsProgress], A0);</div> <div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  traits.loadLhs(&blA[1*LhsProgress], A1);</div> <div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  traits.loadRhs(&blB[0*RhsProgress], B_0);</div> <div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  traits.loadRhs(&blB[1*RhsProgress], B1);</div> <div class="line"><a name="l00651"></a><span class="lineno"> 651</span> </div> <div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  traits.madd(A0,B_0,C0,T0);</div> <div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  traits.loadRhs(&blB[2*RhsProgress], B2);</div> <div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  traits.madd(A1,B_0,C4,B_0);</div> <div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  traits.loadRhs(&blB[3*RhsProgress], B3);</div> <div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  traits.loadRhs(&blB[4*RhsProgress], B_0);</div> <div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  traits.madd(A0,B1,C1,T0);</div> <div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  traits.madd(A1,B1,C5,B1);</div> <div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  traits.loadRhs(&blB[5*RhsProgress], B1);</div> <div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  traits.madd(A0,B2,C2,T0);</div> <div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  traits.madd(A1,B2,C6,B2);</div> <div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  traits.loadRhs(&blB[6*RhsProgress], B2);</div> <div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  traits.madd(A0,B3,C3,T0);</div> <div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  traits.loadLhs(&blA[2*LhsProgress], A0);</div> <div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  traits.madd(A1,B3,C7,B3);</div> <div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  traits.loadLhs(&blA[3*LhsProgress], A1);</div> <div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  traits.loadRhs(&blB[7*RhsProgress], B3);</div> <div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  traits.madd(A0,B_0,C0,T0);</div> <div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  traits.madd(A1,B_0,C4,B_0);</div> <div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  traits.loadRhs(&blB[8*RhsProgress], B_0);</div> <div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  traits.madd(A0,B1,C1,T0);</div> <div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  traits.madd(A1,B1,C5,B1);</div> <div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  traits.loadRhs(&blB[9*RhsProgress], B1);</div> <div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  traits.madd(A0,B2,C2,T0);</div> <div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  traits.madd(A1,B2,C6,B2);</div> <div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  traits.loadRhs(&blB[10*RhsProgress], B2);</div> <div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  traits.madd(A0,B3,C3,T0);</div> <div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  traits.loadLhs(&blA[4*LhsProgress], A0);</div> <div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  traits.madd(A1,B3,C7,B3);</div> <div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  traits.loadLhs(&blA[5*LhsProgress], A1);</div> <div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  traits.loadRhs(&blB[11*RhsProgress], B3);</div> <div class="line"><a name="l00682"></a><span class="lineno"> 682</span> </div> <div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  traits.madd(A0,B_0,C0,T0);</div> <div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  traits.madd(A1,B_0,C4,B_0);</div> <div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  traits.loadRhs(&blB[12*RhsProgress], B_0);</div> <div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  traits.madd(A0,B1,C1,T0);</div> <div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  traits.madd(A1,B1,C5,B1);</div> <div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  traits.loadRhs(&blB[13*RhsProgress], B1);</div> <div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  traits.madd(A0,B2,C2,T0);</div> <div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  traits.madd(A1,B2,C6,B2);</div> <div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  traits.loadRhs(&blB[14*RhsProgress], B2);</div> <div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  traits.madd(A0,B3,C3,T0);</div> <div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  traits.loadLhs(&blA[6*LhsProgress], A0);</div> <div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  traits.madd(A1,B3,C7,B3);</div> <div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  traits.loadLhs(&blA[7*LhsProgress], A1);</div> <div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  traits.loadRhs(&blB[15*RhsProgress], B3);</div> <div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  traits.madd(A0,B_0,C0,T0);</div> <div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  traits.madd(A1,B_0,C4,B_0);</div> <div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  traits.madd(A0,B1,C1,T0);</div> <div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  traits.madd(A1,B1,C5,B1);</div> <div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  traits.madd(A0,B2,C2,T0);</div> <div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  traits.madd(A1,B2,C6,B2);</div> <div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  traits.madd(A0,B3,C3,T0);</div> <div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  traits.madd(A1,B3,C7,B3);</div> <div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  }</div> <div class="line"><a name="l00706"></a><span class="lineno"> 706</span> </div> <div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  blB += 4*nr*RhsProgress;</div> <div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  blA += 4*mr;</div> <div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  }</div> <div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  <span class="comment">// process remaining peeled loop</span></div> <div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  <span class="keywordflow">for</span>(Index k=peeled_kc; k<depth; k++)</div> <div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  {</div> <div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  <span class="keywordflow">if</span>(nr==2)</div> <div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  {</div> <div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  LhsPacket A0, A1;</div> <div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  RhsPacket B_0;</div> <div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  RhsPacket T0;</div> <div class="line"><a name="l00718"></a><span class="lineno"> 718</span> </div> <div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  traits.loadLhs(&blA[0*LhsProgress], A0);</div> <div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  traits.loadLhs(&blA[1*LhsProgress], A1);</div> <div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  traits.loadRhs(&blB[0*RhsProgress], B_0);</div> <div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  traits.madd(A0,B_0,C0,T0);</div> <div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  traits.madd(A1,B_0,C4,B_0);</div> <div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  traits.loadRhs(&blB[1*RhsProgress], B_0);</div> <div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  traits.madd(A0,B_0,C1,T0);</div> <div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  traits.madd(A1,B_0,C5,B_0);</div> <div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  }</div> <div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  <span class="keywordflow">else</span></div> <div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  {</div> <div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  LhsPacket A0, A1;</div> <div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  RhsPacket B_0, B1, B2, B3;</div> <div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  RhsPacket T0;</div> <div class="line"><a name="l00733"></a><span class="lineno"> 733</span> </div> <div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  traits.loadLhs(&blA[0*LhsProgress], A0);</div> <div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  traits.loadLhs(&blA[1*LhsProgress], A1);</div> <div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  traits.loadRhs(&blB[0*RhsProgress], B_0);</div> <div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  traits.loadRhs(&blB[1*RhsProgress], B1);</div> <div class="line"><a name="l00738"></a><span class="lineno"> 738</span> </div> <div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  traits.madd(A0,B_0,C0,T0);</div> <div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  traits.loadRhs(&blB[2*RhsProgress], B2);</div> <div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  traits.madd(A1,B_0,C4,B_0);</div> <div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  traits.loadRhs(&blB[3*RhsProgress], B3);</div> <div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  traits.madd(A0,B1,C1,T0);</div> <div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  traits.madd(A1,B1,C5,B1);</div> <div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  traits.madd(A0,B2,C2,T0);</div> <div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  traits.madd(A1,B2,C6,B2);</div> <div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  traits.madd(A0,B3,C3,T0);</div> <div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  traits.madd(A1,B3,C7,B3);</div> <div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  }</div> <div class="line"><a name="l00750"></a><span class="lineno"> 750</span> </div> <div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  blB += nr*RhsProgress;</div> <div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  blA += mr;</div> <div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  }</div> <div class="line"><a name="l00754"></a><span class="lineno"> 754</span> </div> <div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  <span class="keywordflow">if</span>(nr==4)</div> <div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  {</div> <div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  ResPacket R0, R1, R2, R3, R4, R5, R6;</div> <div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  ResPacket alphav = pset1<ResPacket>(alpha);</div> <div class="line"><a name="l00759"></a><span class="lineno"> 759</span> </div> <div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  R0 = ploadu<ResPacket>(r0);</div> <div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  R1 = ploadu<ResPacket>(r1);</div> <div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  R2 = ploadu<ResPacket>(r2);</div> <div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  R3 = ploadu<ResPacket>(r3);</div> <div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  R4 = ploadu<ResPacket>(r0 + ResPacketSize);</div> <div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  R5 = ploadu<ResPacket>(r1 + ResPacketSize);</div> <div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  R6 = ploadu<ResPacket>(r2 + ResPacketSize);</div> <div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  traits.acc(C0, alphav, R0);</div> <div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  pstoreu(r0, R0);</div> <div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  R0 = ploadu<ResPacket>(r3 + ResPacketSize);</div> <div class="line"><a name="l00770"></a><span class="lineno"> 770</span> </div> <div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  traits.acc(C1, alphav, R1);</div> <div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  traits.acc(C2, alphav, R2);</div> <div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  traits.acc(C3, alphav, R3);</div> <div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  traits.acc(C4, alphav, R4);</div> <div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  traits.acc(C5, alphav, R5);</div> <div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  traits.acc(C6, alphav, R6);</div> <div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  traits.acc(C7, alphav, R0);</div> <div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  </div> <div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  pstoreu(r1, R1);</div> <div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  pstoreu(r2, R2);</div> <div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  pstoreu(r3, R3);</div> <div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  pstoreu(r0 + ResPacketSize, R4);</div> <div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  pstoreu(r1 + ResPacketSize, R5);</div> <div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  pstoreu(r2 + ResPacketSize, R6);</div> <div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  pstoreu(r3 + ResPacketSize, R0);</div> <div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  }</div> <div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  <span class="keywordflow">else</span></div> <div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  {</div> <div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  ResPacket R0, R1, R4;</div> <div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  ResPacket alphav = pset1<ResPacket>(alpha);</div> <div class="line"><a name="l00791"></a><span class="lineno"> 791</span> </div> <div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  R0 = ploadu<ResPacket>(r0);</div> <div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  R1 = ploadu<ResPacket>(r1);</div> <div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  R4 = ploadu<ResPacket>(r0 + ResPacketSize);</div> <div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  traits.acc(C0, alphav, R0);</div> <div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  pstoreu(r0, R0);</div> <div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  R0 = ploadu<ResPacket>(r1 + ResPacketSize);</div> <div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  traits.acc(C1, alphav, R1);</div> <div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  traits.acc(C4, alphav, R4);</div> <div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  traits.acc(C5, alphav, R0);</div> <div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  pstoreu(r1, R1);</div> <div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  pstoreu(r0 + ResPacketSize, R4);</div> <div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  pstoreu(r1 + ResPacketSize, R0);</div> <div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  }</div> <div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  </div> <div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  }</div> <div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  </div> <div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  <span class="keywordflow">if</span>(rows-peeled_mc>=LhsProgress)</div> <div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  {</div> <div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  Index i = peeled_mc;</div> <div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  <span class="keyword">const</span> LhsScalar* blA = &blockA[i*strideA+offsetA*LhsProgress];</div> <div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  prefetch(&blA[0]);</div> <div class="line"><a name="l00813"></a><span class="lineno"> 813</span> </div> <div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  <span class="comment">// gets res block as register</span></div> <div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  AccPacket C0, C1, C2, C3;</div> <div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  traits.initAcc(C0);</div> <div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  traits.initAcc(C1);</div> <div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  <span class="keywordflow">if</span>(nr==4) traits.initAcc(C2);</div> <div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  <span class="keywordflow">if</span>(nr==4) traits.initAcc(C3);</div> <div class="line"><a name="l00820"></a><span class="lineno"> 820</span> </div> <div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  <span class="comment">// performs "inner" product</span></div> <div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  <span class="keyword">const</span> RhsScalar* blB = unpackedB;</div> <div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  <span class="keywordflow">for</span>(Index k=0; k<peeled_kc; k+=4)</div> <div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  {</div> <div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  <span class="keywordflow">if</span>(nr==2)</div> <div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  {</div> <div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  LhsPacket A0;</div> <div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  RhsPacket B_0, B1;</div> <div class="line"><a name="l00829"></a><span class="lineno"> 829</span> </div> <div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  traits.loadLhs(&blA[0*LhsProgress], A0);</div> <div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  traits.loadRhs(&blB[0*RhsProgress], B_0);</div> <div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  traits.loadRhs(&blB[1*RhsProgress], B1);</div> <div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  traits.madd(A0,B_0,C0,B_0);</div> <div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  traits.loadRhs(&blB[2*RhsProgress], B_0);</div> <div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  traits.madd(A0,B1,C1,B1);</div> <div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  traits.loadLhs(&blA[1*LhsProgress], A0);</div> <div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  traits.loadRhs(&blB[3*RhsProgress], B1);</div> <div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  traits.madd(A0,B_0,C0,B_0);</div> <div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  traits.loadRhs(&blB[4*RhsProgress], B_0);</div> <div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  traits.madd(A0,B1,C1,B1);</div> <div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  traits.loadLhs(&blA[2*LhsProgress], A0);</div> <div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  traits.loadRhs(&blB[5*RhsProgress], B1);</div> <div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  traits.madd(A0,B_0,C0,B_0);</div> <div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  traits.loadRhs(&blB[6*RhsProgress], B_0);</div> <div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  traits.madd(A0,B1,C1,B1);</div> <div class="line"><a name="l00846"></a><span class="lineno"> 846</span>  traits.loadLhs(&blA[3*LhsProgress], A0);</div> <div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  traits.loadRhs(&blB[7*RhsProgress], B1);</div> <div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  traits.madd(A0,B_0,C0,B_0);</div> <div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  traits.madd(A0,B1,C1,B1);</div> <div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  }</div> <div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  <span class="keywordflow">else</span></div> <div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  {</div> <div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  LhsPacket A0;</div> <div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  RhsPacket B_0, B1, B2, B3;</div> <div class="line"><a name="l00855"></a><span class="lineno"> 855</span> </div> <div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  traits.loadLhs(&blA[0*LhsProgress], A0);</div> <div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  traits.loadRhs(&blB[0*RhsProgress], B_0);</div> <div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  traits.loadRhs(&blB[1*RhsProgress], B1);</div> <div class="line"><a name="l00859"></a><span class="lineno"> 859</span> </div> <div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  traits.madd(A0,B_0,C0,B_0);</div> <div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  traits.loadRhs(&blB[2*RhsProgress], B2);</div> <div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  traits.loadRhs(&blB[3*RhsProgress], B3);</div> <div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  traits.loadRhs(&blB[4*RhsProgress], B_0);</div> <div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  traits.madd(A0,B1,C1,B1);</div> <div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  traits.loadRhs(&blB[5*RhsProgress], B1);</div> <div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  traits.madd(A0,B2,C2,B2);</div> <div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  traits.loadRhs(&blB[6*RhsProgress], B2);</div> <div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  traits.madd(A0,B3,C3,B3);</div> <div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  traits.loadLhs(&blA[1*LhsProgress], A0);</div> <div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  traits.loadRhs(&blB[7*RhsProgress], B3);</div> <div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  traits.madd(A0,B_0,C0,B_0);</div> <div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  traits.loadRhs(&blB[8*RhsProgress], B_0);</div> <div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  traits.madd(A0,B1,C1,B1);</div> <div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  traits.loadRhs(&blB[9*RhsProgress], B1);</div> <div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  traits.madd(A0,B2,C2,B2);</div> <div class="line"><a name="l00876"></a><span class="lineno"> 876</span>  traits.loadRhs(&blB[10*RhsProgress], B2);</div> <div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  traits.madd(A0,B3,C3,B3);</div> <div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  traits.loadLhs(&blA[2*LhsProgress], A0);</div> <div class="line"><a name="l00879"></a><span class="lineno"> 879</span>  traits.loadRhs(&blB[11*RhsProgress], B3);</div> <div class="line"><a name="l00880"></a><span class="lineno"> 880</span> </div> <div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  traits.madd(A0,B_0,C0,B_0);</div> <div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  traits.loadRhs(&blB[12*RhsProgress], B_0);</div> <div class="line"><a name="l00883"></a><span class="lineno"> 883</span>  traits.madd(A0,B1,C1,B1);</div> <div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  traits.loadRhs(&blB[13*RhsProgress], B1);</div> <div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  traits.madd(A0,B2,C2,B2);</div> <div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  traits.loadRhs(&blB[14*RhsProgress], B2);</div> <div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  traits.madd(A0,B3,C3,B3);</div> <div class="line"><a name="l00888"></a><span class="lineno"> 888</span> </div> <div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  traits.loadLhs(&blA[3*LhsProgress], A0);</div> <div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  traits.loadRhs(&blB[15*RhsProgress], B3);</div> <div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  traits.madd(A0,B_0,C0,B_0);</div> <div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  traits.madd(A0,B1,C1,B1);</div> <div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  traits.madd(A0,B2,C2,B2);</div> <div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  traits.madd(A0,B3,C3,B3);</div> <div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  }</div> <div class="line"><a name="l00896"></a><span class="lineno"> 896</span> </div> <div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  blB += nr*4*RhsProgress;</div> <div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  blA += 4*LhsProgress;</div> <div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  }</div> <div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  <span class="comment">// process remaining peeled loop</span></div> <div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  <span class="keywordflow">for</span>(Index k=peeled_kc; k<depth; k++)</div> <div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  {</div> <div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  <span class="keywordflow">if</span>(nr==2)</div> <div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  {</div> <div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  LhsPacket A0;</div> <div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  RhsPacket B_0, B1;</div> <div class="line"><a name="l00907"></a><span class="lineno"> 907</span> </div> <div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  traits.loadLhs(&blA[0*LhsProgress], A0);</div> <div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  traits.loadRhs(&blB[0*RhsProgress], B_0);</div> <div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  traits.loadRhs(&blB[1*RhsProgress], B1);</div> <div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  traits.madd(A0,B_0,C0,B_0);</div> <div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  traits.madd(A0,B1,C1,B1);</div> <div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  }</div> <div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  <span class="keywordflow">else</span></div> <div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  {</div> <div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  LhsPacket A0;</div> <div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  RhsPacket B_0, B1, B2, B3;</div> <div class="line"><a name="l00918"></a><span class="lineno"> 918</span> </div> <div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  traits.loadLhs(&blA[0*LhsProgress], A0);</div> <div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  traits.loadRhs(&blB[0*RhsProgress], B_0);</div> <div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  traits.loadRhs(&blB[1*RhsProgress], B1);</div> <div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  traits.loadRhs(&blB[2*RhsProgress], B2);</div> <div class="line"><a name="l00923"></a><span class="lineno"> 923</span>  traits.loadRhs(&blB[3*RhsProgress], B3);</div> <div class="line"><a name="l00924"></a><span class="lineno"> 924</span> </div> <div class="line"><a name="l00925"></a><span class="lineno"> 925</span>  traits.madd(A0,B_0,C0,B_0);</div> <div class="line"><a name="l00926"></a><span class="lineno"> 926</span>  traits.madd(A0,B1,C1,B1);</div> <div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  traits.madd(A0,B2,C2,B2);</div> <div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  traits.madd(A0,B3,C3,B3);</div> <div class="line"><a name="l00929"></a><span class="lineno"> 929</span>  }</div> <div class="line"><a name="l00930"></a><span class="lineno"> 930</span> </div> <div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  blB += nr*RhsProgress;</div> <div class="line"><a name="l00932"></a><span class="lineno"> 932</span>  blA += LhsProgress;</div> <div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  }</div> <div class="line"><a name="l00934"></a><span class="lineno"> 934</span> </div> <div class="line"><a name="l00935"></a><span class="lineno"> 935</span>  ResPacket R0, R1, R2, R3;</div> <div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  ResPacket alphav = pset1<ResPacket>(alpha);</div> <div class="line"><a name="l00937"></a><span class="lineno"> 937</span> </div> <div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  ResScalar* r0 = &res[(j2+0)*resStride + i];</div> <div class="line"><a name="l00939"></a><span class="lineno"> 939</span>  ResScalar* r1 = r0 + resStride;</div> <div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  ResScalar* r2 = r1 + resStride;</div> <div class="line"><a name="l00941"></a><span class="lineno"> 941</span>  ResScalar* r3 = r2 + resStride;</div> <div class="line"><a name="l00942"></a><span class="lineno"> 942</span> </div> <div class="line"><a name="l00943"></a><span class="lineno"> 943</span>  R0 = ploadu<ResPacket>(r0);</div> <div class="line"><a name="l00944"></a><span class="lineno"> 944</span>  R1 = ploadu<ResPacket>(r1);</div> <div class="line"><a name="l00945"></a><span class="lineno"> 945</span>  <span class="keywordflow">if</span>(nr==4) R2 = ploadu<ResPacket>(r2);</div> <div class="line"><a name="l00946"></a><span class="lineno"> 946</span>  <span class="keywordflow">if</span>(nr==4) R3 = ploadu<ResPacket>(r3);</div> <div class="line"><a name="l00947"></a><span class="lineno"> 947</span> </div> <div class="line"><a name="l00948"></a><span class="lineno"> 948</span>  traits.acc(C0, alphav, R0);</div> <div class="line"><a name="l00949"></a><span class="lineno"> 949</span>  traits.acc(C1, alphav, R1);</div> <div class="line"><a name="l00950"></a><span class="lineno"> 950</span>  <span class="keywordflow">if</span>(nr==4) traits.acc(C2, alphav, R2);</div> <div class="line"><a name="l00951"></a><span class="lineno"> 951</span>  <span class="keywordflow">if</span>(nr==4) traits.acc(C3, alphav, R3);</div> <div class="line"><a name="l00952"></a><span class="lineno"> 952</span> </div> <div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  pstoreu(r0, R0);</div> <div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  pstoreu(r1, R1);</div> <div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  <span class="keywordflow">if</span>(nr==4) pstoreu(r2, R2);</div> <div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  <span class="keywordflow">if</span>(nr==4) pstoreu(r3, R3);</div> <div class="line"><a name="l00957"></a><span class="lineno"> 957</span>  }</div> <div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  <span class="keywordflow">for</span>(Index i=peeled_mc2; i<rows; i++)</div> <div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  {</div> <div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  <span class="keyword">const</span> LhsScalar* blA = &blockA[i*strideA+offsetA];</div> <div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  prefetch(&blA[0]);</div> <div class="line"><a name="l00962"></a><span class="lineno"> 962</span> </div> <div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  <span class="comment">// gets a 1 x nr res block as registers</span></div> <div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  ResScalar C0(0), C1(0), C2(0), C3(0);</div> <div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  <span class="comment">// TODO directly use blockB ???</span></div> <div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  <span class="keyword">const</span> RhsScalar* blB = &blockB[j2*strideB+offsetB*nr];</div> <div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  <span class="keywordflow">for</span>(Index k=0; k<depth; k++)</div> <div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  {</div> <div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  <span class="keywordflow">if</span>(nr==2)</div> <div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  {</div> <div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  LhsScalar A0;</div> <div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  RhsScalar B_0, B1;</div> <div class="line"><a name="l00973"></a><span class="lineno"> 973</span> </div> <div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  A0 = blA[k];</div> <div class="line"><a name="l00975"></a><span class="lineno"> 975</span>  B_0 = blB[0];</div> <div class="line"><a name="l00976"></a><span class="lineno"> 976</span>  B1 = blB[1];</div> <div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  MADD(cj,A0,B_0,C0,B_0);</div> <div class="line"><a name="l00978"></a><span class="lineno"> 978</span>  MADD(cj,A0,B1,C1,B1);</div> <div class="line"><a name="l00979"></a><span class="lineno"> 979</span>  }</div> <div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  <span class="keywordflow">else</span></div> <div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  {</div> <div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  LhsScalar A0;</div> <div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  RhsScalar B_0, B1, B2, B3;</div> <div class="line"><a name="l00984"></a><span class="lineno"> 984</span> </div> <div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  A0 = blA[k];</div> <div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  B_0 = blB[0];</div> <div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  B1 = blB[1];</div> <div class="line"><a name="l00988"></a><span class="lineno"> 988</span>  B2 = blB[2];</div> <div class="line"><a name="l00989"></a><span class="lineno"> 989</span>  B3 = blB[3];</div> <div class="line"><a name="l00990"></a><span class="lineno"> 990</span> </div> <div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  MADD(cj,A0,B_0,C0,B_0);</div> <div class="line"><a name="l00992"></a><span class="lineno"> 992</span>  MADD(cj,A0,B1,C1,B1);</div> <div class="line"><a name="l00993"></a><span class="lineno"> 993</span>  MADD(cj,A0,B2,C2,B2);</div> <div class="line"><a name="l00994"></a><span class="lineno"> 994</span>  MADD(cj,A0,B3,C3,B3);</div> <div class="line"><a name="l00995"></a><span class="lineno"> 995</span>  }</div> <div class="line"><a name="l00996"></a><span class="lineno"> 996</span> </div> <div class="line"><a name="l00997"></a><span class="lineno"> 997</span>  blB += nr;</div> <div class="line"><a name="l00998"></a><span class="lineno"> 998</span>  }</div> <div class="line"><a name="l00999"></a><span class="lineno"> 999</span>  res[(j2+0)*resStride + i] += alpha*C0;</div> <div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  res[(j2+1)*resStride + i] += alpha*C1;</div> <div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>  <span class="keywordflow">if</span>(nr==4) res[(j2+2)*resStride + i] += alpha*C2;</div> <div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  <span class="keywordflow">if</span>(nr==4) res[(j2+3)*resStride + i] += alpha*C3;</div> <div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>  }</div> <div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>  }</div> <div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  <span class="comment">// process remaining rhs/res columns one at a time</span></div> <div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  <span class="comment">// => do the same but with nr==1</span></div> <div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  <span class="keywordflow">for</span>(Index j2=packet_cols; j2<cols; j2++)</div> <div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  {</div> <div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  <span class="comment">// unpack B</span></div> <div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>  traits.unpackRhs(depth, &blockB[j2*strideB+offsetB], unpackedB);</div> <div class="line"><a name="l01011"></a><span class="lineno"> 1011</span> </div> <div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>  <span class="keywordflow">for</span>(Index i=0; i<peeled_mc; i+=mr)</div> <div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  {</div> <div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  <span class="keyword">const</span> LhsScalar* blA = &blockA[i*strideA+offsetA*mr];</div> <div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  prefetch(&blA[0]);</div> <div class="line"><a name="l01016"></a><span class="lineno"> 1016</span> </div> <div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  <span class="comment">// TODO move the res loads to the stores</span></div> <div class="line"><a name="l01018"></a><span class="lineno"> 1018</span> </div> <div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  <span class="comment">// get res block as registers</span></div> <div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  AccPacket C0, C4;</div> <div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>  traits.initAcc(C0);</div> <div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>  traits.initAcc(C4);</div> <div class="line"><a name="l01023"></a><span class="lineno"> 1023</span> </div> <div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  <span class="keyword">const</span> RhsScalar* blB = unpackedB;</div> <div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  <span class="keywordflow">for</span>(Index k=0; k<depth; k++)</div> <div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  {</div> <div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  LhsPacket A0, A1;</div> <div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  RhsPacket B_0;</div> <div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  RhsPacket T0;</div> <div class="line"><a name="l01030"></a><span class="lineno"> 1030</span> </div> <div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  traits.loadLhs(&blA[0*LhsProgress], A0);</div> <div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  traits.loadLhs(&blA[1*LhsProgress], A1);</div> <div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  traits.loadRhs(&blB[0*RhsProgress], B_0);</div> <div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  traits.madd(A0,B_0,C0,T0);</div> <div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>  traits.madd(A1,B_0,C4,B_0);</div> <div class="line"><a name="l01036"></a><span class="lineno"> 1036</span> </div> <div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  blB += RhsProgress;</div> <div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  blA += 2*LhsProgress;</div> <div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  }</div> <div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>  ResPacket R0, R4;</div> <div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>  ResPacket alphav = pset1<ResPacket>(alpha);</div> <div class="line"><a name="l01042"></a><span class="lineno"> 1042</span> </div> <div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  ResScalar* r0 = &res[(j2+0)*resStride + i];</div> <div class="line"><a name="l01044"></a><span class="lineno"> 1044</span> </div> <div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  R0 = ploadu<ResPacket>(r0);</div> <div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>  R4 = ploadu<ResPacket>(r0+ResPacketSize);</div> <div class="line"><a name="l01047"></a><span class="lineno"> 1047</span> </div> <div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  traits.acc(C0, alphav, R0);</div> <div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  traits.acc(C4, alphav, R4);</div> <div class="line"><a name="l01050"></a><span class="lineno"> 1050</span> </div> <div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  pstoreu(r0, R0);</div> <div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>  pstoreu(r0+ResPacketSize, R4);</div> <div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  }</div> <div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  <span class="keywordflow">if</span>(rows-peeled_mc>=LhsProgress)</div> <div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  {</div> <div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  Index i = peeled_mc;</div> <div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>  <span class="keyword">const</span> LhsScalar* blA = &blockA[i*strideA+offsetA*LhsProgress];</div> <div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  prefetch(&blA[0]);</div> <div class="line"><a name="l01059"></a><span class="lineno"> 1059</span> </div> <div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>  AccPacket C0;</div> <div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>  traits.initAcc(C0);</div> <div class="line"><a name="l01062"></a><span class="lineno"> 1062</span> </div> <div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>  <span class="keyword">const</span> RhsScalar* blB = unpackedB;</div> <div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>  <span class="keywordflow">for</span>(Index k=0; k<depth; k++)</div> <div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>  {</div> <div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  LhsPacket A0;</div> <div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  RhsPacket B_0;</div> <div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>  traits.loadLhs(blA, A0);</div> <div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>  traits.loadRhs(blB, B_0);</div> <div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>  traits.madd(A0, B_0, C0, B_0);</div> <div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>  blB += RhsProgress;</div> <div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>  blA += LhsProgress;</div> <div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>  }</div> <div class="line"><a name="l01074"></a><span class="lineno"> 1074</span> </div> <div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>  ResPacket alphav = pset1<ResPacket>(alpha);</div> <div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>  ResPacket R0 = ploadu<ResPacket>(&res[(j2+0)*resStride + i]);</div> <div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>  traits.acc(C0, alphav, R0);</div> <div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>  pstoreu(&res[(j2+0)*resStride + i], R0);</div> <div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  }</div> <div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>  <span class="keywordflow">for</span>(Index i=peeled_mc2; i<rows; i++)</div> <div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>  {</div> <div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  <span class="keyword">const</span> LhsScalar* blA = &blockA[i*strideA+offsetA];</div> <div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  prefetch(&blA[0]);</div> <div class="line"><a name="l01084"></a><span class="lineno"> 1084</span> </div> <div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  <span class="comment">// gets a 1 x 1 res block as registers</span></div> <div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>  ResScalar C0(0);</div> <div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  <span class="comment">// FIXME directly use blockB ??</span></div> <div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  <span class="keyword">const</span> RhsScalar* blB = &blockB[j2*strideB+offsetB];</div> <div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>  <span class="keywordflow">for</span>(Index k=0; k<depth; k++)</div> <div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  {</div> <div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  LhsScalar A0 = blA[k];</div> <div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>  RhsScalar B_0 = blB[k];</div> <div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>  MADD(cj, A0, B_0, C0, B_0);</div> <div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  }</div> <div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>  res[(j2+0)*resStride + i] += alpha*C0;</div> <div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  }</div> <div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>  }</div> <div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>  }</div> <div class="line"><a name="l01099"></a><span class="lineno"> 1099</span> </div> <div class="line"><a name="l01100"></a><span class="lineno"> 1100</span> </div> <div class="line"><a name="l01101"></a><span class="lineno"> 1101</span> <span class="preprocessor">#undef CJMADD</span></div> <div class="line"><a name="l01102"></a><span class="lineno"> 1102</span> <span class="preprocessor"></span></div> <div class="line"><a name="l01103"></a><span class="lineno"> 1103</span> <span class="comment">// pack a block of the lhs</span></div> <div class="line"><a name="l01104"></a><span class="lineno"> 1104</span> <span class="comment">// The traversal is as follow (mr==4):</span></div> <div class="line"><a name="l01105"></a><span class="lineno"> 1105</span> <span class="comment">// 0 4 8 12 ...</span></div> <div class="line"><a name="l01106"></a><span class="lineno"> 1106</span> <span class="comment">// 1 5 9 13 ...</span></div> <div class="line"><a name="l01107"></a><span class="lineno"> 1107</span> <span class="comment">// 2 6 10 14 ...</span></div> <div class="line"><a name="l01108"></a><span class="lineno"> 1108</span> <span class="comment">// 3 7 11 15 ...</span></div> <div class="line"><a name="l01109"></a><span class="lineno"> 1109</span> <span class="comment">//</span></div> <div class="line"><a name="l01110"></a><span class="lineno"> 1110</span> <span class="comment">// 16 20 24 28 ...</span></div> <div class="line"><a name="l01111"></a><span class="lineno"> 1111</span> <span class="comment">// 17 21 25 29 ...</span></div> <div class="line"><a name="l01112"></a><span class="lineno"> 1112</span> <span class="comment">// 18 22 26 30 ...</span></div> <div class="line"><a name="l01113"></a><span class="lineno"> 1113</span> <span class="comment">// 19 23 27 31 ...</span></div> <div class="line"><a name="l01114"></a><span class="lineno"> 1114</span> <span class="comment">//</span></div> <div class="line"><a name="l01115"></a><span class="lineno"> 1115</span> <span class="comment">// 32 33 34 35 ...</span></div> <div class="line"><a name="l01116"></a><span class="lineno"> 1116</span> <span class="comment">// 36 36 38 39 ...</span></div> <div class="line"><a name="l01117"></a><span class="lineno"> 1117</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index, <span class="keywordtype">int</span> Pack1, <span class="keywordtype">int</span> Pack2, <span class="keywordtype">int</span> StorageOrder, <span class="keywordtype">bool</span> Conjugate, <span class="keywordtype">bool</span> PanelMode></div> <div class="line"><a name="l01118"></a><span class="lineno"> 1118</span> <span class="keyword">struct </span>gemm_pack_lhs</div> <div class="line"><a name="l01119"></a><span class="lineno"> 1119</span> {</div> <div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  EIGEN_DONT_INLINE <span class="keywordtype">void</span> operator()(Scalar* blockA, <span class="keyword">const</span> Scalar* EIGEN_RESTRICT _lhs, Index lhsStride, Index depth, Index rows, Index stride=0, Index offset=0);</div> <div class="line"><a name="l01121"></a><span class="lineno"> 1121</span> };</div> <div class="line"><a name="l01122"></a><span class="lineno"> 1122</span> </div> <div class="line"><a name="l01123"></a><span class="lineno"> 1123</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index, <span class="keywordtype">int</span> Pack1, <span class="keywordtype">int</span> Pack2, <span class="keywordtype">int</span> StorageOrder, <span class="keywordtype">bool</span> Conjugate, <span class="keywordtype">bool</span> PanelMode></div> <div class="line"><a name="l01124"></a><span class="lineno"> 1124</span> EIGEN_DONT_INLINE <span class="keywordtype">void</span> gemm_pack_lhs<Scalar, Index, Pack1, Pack2, StorageOrder, Conjugate, PanelMode></div> <div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>  ::operator()(Scalar* blockA, <span class="keyword">const</span> Scalar* EIGEN_RESTRICT _lhs, Index lhsStride, Index depth, Index rows, Index stride, Index offset)</div> <div class="line"><a name="l01126"></a><span class="lineno"> 1126</span> {</div> <div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<Scalar>::type Packet;</div> <div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>  <span class="keyword">enum</span> { PacketSize = packet_traits<Scalar>::size };</div> <div class="line"><a name="l01129"></a><span class="lineno"> 1129</span> </div> <div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>  EIGEN_ASM_COMMENT(<span class="stringliteral">"EIGEN PRODUCT PACK LHS"</span>);</div> <div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>  eigen_assert(((!PanelMode) && stride==0 && offset==0) || (PanelMode && stride>=depth && offset<=stride));</div> <div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>  eigen_assert( (StorageOrder==<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>) || ((Pack1%PacketSize)==0 && Pack1<=4*PacketSize) );</div> <div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>  conj_if<NumTraits<Scalar>::IsComplex && Conjugate> cj;</div> <div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>  const_blas_data_mapper<Scalar, Index, StorageOrder> lhs(_lhs,lhsStride);</div> <div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>  Index count = 0;</div> <div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>  Index peeled_mc = (rows/Pack1)*Pack1;</div> <div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>  <span class="keywordflow">for</span>(Index i=0; i<peeled_mc; i+=Pack1)</div> <div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  {</div> <div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>  <span class="keywordflow">if</span>(PanelMode) count += Pack1 * offset;</div> <div class="line"><a name="l01140"></a><span class="lineno"> 1140</span> </div> <div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>  <span class="keywordflow">if</span>(StorageOrder==<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>)</div> <div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>  {</div> <div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>  <span class="keywordflow">for</span>(Index k=0; k<depth; k++)</div> <div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>  {</div> <div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>  Packet A, B, C, D;</div> <div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>  <span class="keywordflow">if</span>(Pack1>=1*PacketSize) A = ploadu<Packet>(&lhs(i+0*PacketSize, k));</div> <div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>  <span class="keywordflow">if</span>(Pack1>=2*PacketSize) B = ploadu<Packet>(&lhs(i+1*PacketSize, k));</div> <div class="line"><a name="l01148"></a><span class="lineno"> 1148</span>  <span class="keywordflow">if</span>(Pack1>=3*PacketSize) C = ploadu<Packet>(&lhs(i+2*PacketSize, k));</div> <div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>  <span class="keywordflow">if</span>(Pack1>=4*PacketSize) D = ploadu<Packet>(&lhs(i+3*PacketSize, k));</div> <div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>  <span class="keywordflow">if</span>(Pack1>=1*PacketSize) { pstore(blockA+count, cj.pconj(A)); count+=PacketSize; }</div> <div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>  <span class="keywordflow">if</span>(Pack1>=2*PacketSize) { pstore(blockA+count, cj.pconj(B)); count+=PacketSize; }</div> <div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>  <span class="keywordflow">if</span>(Pack1>=3*PacketSize) { pstore(blockA+count, cj.pconj(C)); count+=PacketSize; }</div> <div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>  <span class="keywordflow">if</span>(Pack1>=4*PacketSize) { pstore(blockA+count, cj.pconj(D)); count+=PacketSize; }</div> <div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>  }</div> <div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>  }</div> <div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>  <span class="keywordflow">else</span></div> <div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>  {</div> <div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>  <span class="keywordflow">for</span>(Index k=0; k<depth; k++)</div> <div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>  {</div> <div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>  <span class="comment">// TODO add a vectorized transpose here</span></div> <div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>  Index w=0;</div> <div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  <span class="keywordflow">for</span>(; w<Pack1-3; w+=4)</div> <div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>  {</div> <div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>  Scalar a(cj(lhs(i+w+0, k))),</div> <div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>  b(cj(lhs(i+w+1, k))),</div> <div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>  c(cj(lhs(i+w+2, k))),</div> <div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>  d(cj(lhs(i+w+3, k)));</div> <div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>  blockA[count++] = a;</div> <div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>  blockA[count++] = b;</div> <div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>  blockA[count++] = c;</div> <div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>  blockA[count++] = d;</div> <div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>  }</div> <div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>  <span class="keywordflow">if</span>(Pack1%4)</div> <div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>  <span class="keywordflow">for</span>(;w<Pack1;++w)</div> <div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>  blockA[count++] = cj(lhs(i+w, k));</div> <div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>  }</div> <div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>  }</div> <div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>  <span class="keywordflow">if</span>(PanelMode) count += Pack1 * (stride-offset-depth);</div> <div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>  }</div> <div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>  <span class="keywordflow">if</span>(rows-peeled_mc>=Pack2)</div> <div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>  {</div> <div class="line"><a name="l01182"></a><span class="lineno"> 1182</span>  <span class="keywordflow">if</span>(PanelMode) count += Pack2*offset;</div> <div class="line"><a name="l01183"></a><span class="lineno"> 1183</span>  <span class="keywordflow">for</span>(Index k=0; k<depth; k++)</div> <div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>  <span class="keywordflow">for</span>(Index w=0; w<Pack2; w++)</div> <div class="line"><a name="l01185"></a><span class="lineno"> 1185</span>  blockA[count++] = cj(lhs(peeled_mc+w, k));</div> <div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>  <span class="keywordflow">if</span>(PanelMode) count += Pack2 * (stride-offset-depth);</div> <div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>  peeled_mc += Pack2;</div> <div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>  }</div> <div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>  <span class="keywordflow">for</span>(Index i=peeled_mc; i<rows; i++)</div> <div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>  {</div> <div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>  <span class="keywordflow">if</span>(PanelMode) count += offset;</div> <div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>  <span class="keywordflow">for</span>(Index k=0; k<depth; k++)</div> <div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>  blockA[count++] = cj(lhs(i, k));</div> <div class="line"><a name="l01194"></a><span class="lineno"> 1194</span>  <span class="keywordflow">if</span>(PanelMode) count += (stride-offset-depth);</div> <div class="line"><a name="l01195"></a><span class="lineno"> 1195</span>  }</div> <div class="line"><a name="l01196"></a><span class="lineno"> 1196</span> }</div> <div class="line"><a name="l01197"></a><span class="lineno"> 1197</span> </div> <div class="line"><a name="l01198"></a><span class="lineno"> 1198</span> <span class="comment">// copy a complete panel of the rhs</span></div> <div class="line"><a name="l01199"></a><span class="lineno"> 1199</span> <span class="comment">// this version is optimized for column major matrices</span></div> <div class="line"><a name="l01200"></a><span class="lineno"> 1200</span> <span class="comment">// The traversal order is as follow: (nr==4):</span></div> <div class="line"><a name="l01201"></a><span class="lineno"> 1201</span> <span class="comment">// 0 1 2 3 12 13 14 15 24 27</span></div> <div class="line"><a name="l01202"></a><span class="lineno"> 1202</span> <span class="comment">// 4 5 6 7 16 17 18 19 25 28</span></div> <div class="line"><a name="l01203"></a><span class="lineno"> 1203</span> <span class="comment">// 8 9 10 11 20 21 22 23 26 29</span></div> <div class="line"><a name="l01204"></a><span class="lineno"> 1204</span> <span class="comment">// . . . . . . . . . .</span></div> <div class="line"><a name="l01205"></a><span class="lineno"> 1205</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index, <span class="keywordtype">int</span> nr, <span class="keywordtype">bool</span> Conjugate, <span class="keywordtype">bool</span> PanelMode></div> <div class="line"><a name="l01206"></a><span class="lineno"> 1206</span> <span class="keyword">struct </span>gemm_pack_rhs<Scalar, Index, nr, <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>, Conjugate, PanelMode></div> <div class="line"><a name="l01207"></a><span class="lineno"> 1207</span> {</div> <div class="line"><a name="l01208"></a><span class="lineno"> 1208</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<Scalar>::type Packet;</div> <div class="line"><a name="l01209"></a><span class="lineno"> 1209</span>  <span class="keyword">enum</span> { PacketSize = packet_traits<Scalar>::size };</div> <div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>  EIGEN_DONT_INLINE <span class="keywordtype">void</span> operator()(Scalar* blockB, <span class="keyword">const</span> Scalar* rhs, Index rhsStride, Index depth, Index cols, Index stride=0, Index offset=0);</div> <div class="line"><a name="l01211"></a><span class="lineno"> 1211</span> };</div> <div class="line"><a name="l01212"></a><span class="lineno"> 1212</span> </div> <div class="line"><a name="l01213"></a><span class="lineno"> 1213</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index, <span class="keywordtype">int</span> nr, <span class="keywordtype">bool</span> Conjugate, <span class="keywordtype">bool</span> PanelMode></div> <div class="line"><a name="l01214"></a><span class="lineno"> 1214</span> EIGEN_DONT_INLINE <span class="keywordtype">void</span> gemm_pack_rhs<Scalar, Index, nr, ColMajor, Conjugate, PanelMode></div> <div class="line"><a name="l01215"></a><span class="lineno"> 1215</span>  ::operator()(Scalar* blockB, <span class="keyword">const</span> Scalar* rhs, Index rhsStride, Index depth, Index cols, Index stride, Index offset)</div> <div class="line"><a name="l01216"></a><span class="lineno"> 1216</span> {</div> <div class="line"><a name="l01217"></a><span class="lineno"> 1217</span>  EIGEN_ASM_COMMENT(<span class="stringliteral">"EIGEN PRODUCT PACK RHS COLMAJOR"</span>);</div> <div class="line"><a name="l01218"></a><span class="lineno"> 1218</span>  eigen_assert(((!PanelMode) && stride==0 && offset==0) || (PanelMode && stride>=depth && offset<=stride));</div> <div class="line"><a name="l01219"></a><span class="lineno"> 1219</span>  conj_if<NumTraits<Scalar>::IsComplex && Conjugate> cj;</div> <div class="line"><a name="l01220"></a><span class="lineno"> 1220</span>  Index packet_cols = (cols/nr) * nr;</div> <div class="line"><a name="l01221"></a><span class="lineno"> 1221</span>  Index count = 0;</div> <div class="line"><a name="l01222"></a><span class="lineno"> 1222</span>  <span class="keywordflow">for</span>(Index j2=0; j2<packet_cols; j2+=nr)</div> <div class="line"><a name="l01223"></a><span class="lineno"> 1223</span>  {</div> <div class="line"><a name="l01224"></a><span class="lineno"> 1224</span>  <span class="comment">// skip what we have before</span></div> <div class="line"><a name="l01225"></a><span class="lineno"> 1225</span>  <span class="keywordflow">if</span>(PanelMode) count += nr * offset;</div> <div class="line"><a name="l01226"></a><span class="lineno"> 1226</span>  <span class="keyword">const</span> Scalar* b0 = &rhs[(j2+0)*rhsStride];</div> <div class="line"><a name="l01227"></a><span class="lineno"> 1227</span>  <span class="keyword">const</span> Scalar* b1 = &rhs[(j2+1)*rhsStride];</div> <div class="line"><a name="l01228"></a><span class="lineno"> 1228</span>  <span class="keyword">const</span> Scalar* b2 = &rhs[(j2+2)*rhsStride];</div> <div class="line"><a name="l01229"></a><span class="lineno"> 1229</span>  <span class="keyword">const</span> Scalar* b3 = &rhs[(j2+3)*rhsStride];</div> <div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>  <span class="keywordflow">for</span>(Index k=0; k<depth; k++)</div> <div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>  {</div> <div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>  blockB[count+0] = cj(b0[k]);</div> <div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>  blockB[count+1] = cj(b1[k]);</div> <div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>  <span class="keywordflow">if</span>(nr==4) blockB[count+2] = cj(b2[k]);</div> <div class="line"><a name="l01235"></a><span class="lineno"> 1235</span>  <span class="keywordflow">if</span>(nr==4) blockB[count+3] = cj(b3[k]);</div> <div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>  count += nr;</div> <div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>  }</div> <div class="line"><a name="l01238"></a><span class="lineno"> 1238</span>  <span class="comment">// skip what we have after</span></div> <div class="line"><a name="l01239"></a><span class="lineno"> 1239</span>  <span class="keywordflow">if</span>(PanelMode) count += nr * (stride-offset-depth);</div> <div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>  }</div> <div class="line"><a name="l01241"></a><span class="lineno"> 1241</span> </div> <div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>  <span class="comment">// copy the remaining columns one at a time (nr==1)</span></div> <div class="line"><a name="l01243"></a><span class="lineno"> 1243</span>  <span class="keywordflow">for</span>(Index j2=packet_cols; j2<cols; ++j2)</div> <div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>  {</div> <div class="line"><a name="l01245"></a><span class="lineno"> 1245</span>  <span class="keywordflow">if</span>(PanelMode) count += offset;</div> <div class="line"><a name="l01246"></a><span class="lineno"> 1246</span>  <span class="keyword">const</span> Scalar* b0 = &rhs[(j2+0)*rhsStride];</div> <div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>  <span class="keywordflow">for</span>(Index k=0; k<depth; k++)</div> <div class="line"><a name="l01248"></a><span class="lineno"> 1248</span>  {</div> <div class="line"><a name="l01249"></a><span class="lineno"> 1249</span>  blockB[count] = cj(b0[k]);</div> <div class="line"><a name="l01250"></a><span class="lineno"> 1250</span>  count += 1;</div> <div class="line"><a name="l01251"></a><span class="lineno"> 1251</span>  }</div> <div class="line"><a name="l01252"></a><span class="lineno"> 1252</span>  <span class="keywordflow">if</span>(PanelMode) count += (stride-offset-depth);</div> <div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>  }</div> <div class="line"><a name="l01254"></a><span class="lineno"> 1254</span> }</div> <div class="line"><a name="l01255"></a><span class="lineno"> 1255</span> </div> <div class="line"><a name="l01256"></a><span class="lineno"> 1256</span> <span class="comment">// this version is optimized for row major matrices</span></div> <div class="line"><a name="l01257"></a><span class="lineno"> 1257</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index, <span class="keywordtype">int</span> nr, <span class="keywordtype">bool</span> Conjugate, <span class="keywordtype">bool</span> PanelMode></div> <div class="line"><a name="l01258"></a><span class="lineno"> 1258</span> <span class="keyword">struct </span>gemm_pack_rhs<Scalar, Index, nr, <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>, Conjugate, PanelMode></div> <div class="line"><a name="l01259"></a><span class="lineno"> 1259</span> {</div> <div class="line"><a name="l01260"></a><span class="lineno"> 1260</span>  <span class="keyword">enum</span> { PacketSize = packet_traits<Scalar>::size };</div> <div class="line"><a name="l01261"></a><span class="lineno"> 1261</span>  EIGEN_DONT_INLINE <span class="keywordtype">void</span> operator()(Scalar* blockB, <span class="keyword">const</span> Scalar* rhs, Index rhsStride, Index depth, Index cols, Index stride=0, Index offset=0);</div> <div class="line"><a name="l01262"></a><span class="lineno"> 1262</span> };</div> <div class="line"><a name="l01263"></a><span class="lineno"> 1263</span> </div> <div class="line"><a name="l01264"></a><span class="lineno"> 1264</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index, <span class="keywordtype">int</span> nr, <span class="keywordtype">bool</span> Conjugate, <span class="keywordtype">bool</span> PanelMode></div> <div class="line"><a name="l01265"></a><span class="lineno"> 1265</span> EIGEN_DONT_INLINE <span class="keywordtype">void</span> gemm_pack_rhs<Scalar, Index, nr, RowMajor, Conjugate, PanelMode></div> <div class="line"><a name="l01266"></a><span class="lineno"> 1266</span>  ::operator()(Scalar* blockB, <span class="keyword">const</span> Scalar* rhs, Index rhsStride, Index depth, Index cols, Index stride, Index offset)</div> <div class="line"><a name="l01267"></a><span class="lineno"> 1267</span> {</div> <div class="line"><a name="l01268"></a><span class="lineno"> 1268</span>  EIGEN_ASM_COMMENT(<span class="stringliteral">"EIGEN PRODUCT PACK RHS ROWMAJOR"</span>);</div> <div class="line"><a name="l01269"></a><span class="lineno"> 1269</span>  eigen_assert(((!PanelMode) && stride==0 && offset==0) || (PanelMode && stride>=depth && offset<=stride));</div> <div class="line"><a name="l01270"></a><span class="lineno"> 1270</span>  conj_if<NumTraits<Scalar>::IsComplex && Conjugate> cj;</div> <div class="line"><a name="l01271"></a><span class="lineno"> 1271</span>  Index packet_cols = (cols/nr) * nr;</div> <div class="line"><a name="l01272"></a><span class="lineno"> 1272</span>  Index count = 0;</div> <div class="line"><a name="l01273"></a><span class="lineno"> 1273</span>  <span class="keywordflow">for</span>(Index j2=0; j2<packet_cols; j2+=nr)</div> <div class="line"><a name="l01274"></a><span class="lineno"> 1274</span>  {</div> <div class="line"><a name="l01275"></a><span class="lineno"> 1275</span>  <span class="comment">// skip what we have before</span></div> <div class="line"><a name="l01276"></a><span class="lineno"> 1276</span>  <span class="keywordflow">if</span>(PanelMode) count += nr * offset;</div> <div class="line"><a name="l01277"></a><span class="lineno"> 1277</span>  <span class="keywordflow">for</span>(Index k=0; k<depth; k++)</div> <div class="line"><a name="l01278"></a><span class="lineno"> 1278</span>  {</div> <div class="line"><a name="l01279"></a><span class="lineno"> 1279</span>  <span class="keyword">const</span> Scalar* b0 = &rhs[k*rhsStride + j2];</div> <div class="line"><a name="l01280"></a><span class="lineno"> 1280</span>  blockB[count+0] = cj(b0[0]);</div> <div class="line"><a name="l01281"></a><span class="lineno"> 1281</span>  blockB[count+1] = cj(b0[1]);</div> <div class="line"><a name="l01282"></a><span class="lineno"> 1282</span>  <span class="keywordflow">if</span>(nr==4) blockB[count+2] = cj(b0[2]);</div> <div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>  <span class="keywordflow">if</span>(nr==4) blockB[count+3] = cj(b0[3]);</div> <div class="line"><a name="l01284"></a><span class="lineno"> 1284</span>  count += nr;</div> <div class="line"><a name="l01285"></a><span class="lineno"> 1285</span>  }</div> <div class="line"><a name="l01286"></a><span class="lineno"> 1286</span>  <span class="comment">// skip what we have after</span></div> <div class="line"><a name="l01287"></a><span class="lineno"> 1287</span>  <span class="keywordflow">if</span>(PanelMode) count += nr * (stride-offset-depth);</div> <div class="line"><a name="l01288"></a><span class="lineno"> 1288</span>  }</div> <div class="line"><a name="l01289"></a><span class="lineno"> 1289</span>  <span class="comment">// copy the remaining columns one at a time (nr==1)</span></div> <div class="line"><a name="l01290"></a><span class="lineno"> 1290</span>  <span class="keywordflow">for</span>(Index j2=packet_cols; j2<cols; ++j2)</div> <div class="line"><a name="l01291"></a><span class="lineno"> 1291</span>  {</div> <div class="line"><a name="l01292"></a><span class="lineno"> 1292</span>  <span class="keywordflow">if</span>(PanelMode) count += offset;</div> <div class="line"><a name="l01293"></a><span class="lineno"> 1293</span>  <span class="keyword">const</span> Scalar* b0 = &rhs[j2];</div> <div class="line"><a name="l01294"></a><span class="lineno"> 1294</span>  <span class="keywordflow">for</span>(Index k=0; k<depth; k++)</div> <div class="line"><a name="l01295"></a><span class="lineno"> 1295</span>  {</div> <div class="line"><a name="l01296"></a><span class="lineno"> 1296</span>  blockB[count] = cj(b0[k*rhsStride]);</div> <div class="line"><a name="l01297"></a><span class="lineno"> 1297</span>  count += 1;</div> <div class="line"><a name="l01298"></a><span class="lineno"> 1298</span>  }</div> <div class="line"><a name="l01299"></a><span class="lineno"> 1299</span>  <span class="keywordflow">if</span>(PanelMode) count += stride-offset-depth;</div> <div class="line"><a name="l01300"></a><span class="lineno"> 1300</span>  }</div> <div class="line"><a name="l01301"></a><span class="lineno"> 1301</span> }</div> <div class="line"><a name="l01302"></a><span class="lineno"> 1302</span> </div> <div class="line"><a name="l01303"></a><span class="lineno"> 1303</span> } <span class="comment">// end namespace internal</span></div> <div class="line"><a name="l01304"></a><span class="lineno"> 1304</span> </div> <div class="line"><a name="l01307"></a><span class="lineno"><a class="line" href="namespaceEigen.html#a2669f89ff38296a38e6d973552eb4e33"> 1307</a></span> <span class="keyword">inline</span> std::ptrdiff_t <a class="code" href="namespaceEigen.html#a2669f89ff38296a38e6d973552eb4e33">l1CacheSize</a>()</div> <div class="line"><a name="l01308"></a><span class="lineno"> 1308</span> {</div> <div class="line"><a name="l01309"></a><span class="lineno"> 1309</span>  std::ptrdiff_t l1, l2;</div> <div class="line"><a name="l01310"></a><span class="lineno"> 1310</span>  internal::manage_caching_sizes(GetAction, &l1, &l2);</div> <div class="line"><a name="l01311"></a><span class="lineno"> 1311</span>  <span class="keywordflow">return</span> l1;</div> <div class="line"><a name="l01312"></a><span class="lineno"> 1312</span> }</div> <div class="line"><a name="l01313"></a><span class="lineno"> 1313</span> </div> <div class="line"><a name="l01316"></a><span class="lineno"><a class="line" href="namespaceEigen.html#a2cfc0330ba567d63a496be1cac8427ae"> 1316</a></span> <span class="keyword">inline</span> std::ptrdiff_t <a class="code" href="namespaceEigen.html#a2cfc0330ba567d63a496be1cac8427ae">l2CacheSize</a>()</div> <div class="line"><a name="l01317"></a><span class="lineno"> 1317</span> {</div> <div class="line"><a name="l01318"></a><span class="lineno"> 1318</span>  std::ptrdiff_t l1, l2;</div> <div class="line"><a name="l01319"></a><span class="lineno"> 1319</span>  internal::manage_caching_sizes(GetAction, &l1, &l2);</div> <div class="line"><a name="l01320"></a><span class="lineno"> 1320</span>  <span class="keywordflow">return</span> l2;</div> <div class="line"><a name="l01321"></a><span class="lineno"> 1321</span> }</div> <div class="line"><a name="l01322"></a><span class="lineno"> 1322</span> </div> <div class="line"><a name="l01328"></a><span class="lineno"><a class="line" href="namespaceEigen.html#acc8fa6822bfa316bdbcf8ad032e5edb6"> 1328</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespaceEigen.html#acc8fa6822bfa316bdbcf8ad032e5edb6">setCpuCacheSizes</a>(std::ptrdiff_t l1, std::ptrdiff_t l2)</div> <div class="line"><a name="l01329"></a><span class="lineno"> 1329</span> {</div> <div class="line"><a name="l01330"></a><span class="lineno"> 1330</span>  internal::manage_caching_sizes(SetAction, &l1, &l2);</div> <div class="line"><a name="l01331"></a><span class="lineno"> 1331</span> }</div> <div class="line"><a name="l01332"></a><span class="lineno"> 1332</span> </div> <div class="line"><a name="l01333"></a><span class="lineno"> 1333</span> } <span class="comment">// end namespace Eigen</span></div> <div class="line"><a name="l01334"></a><span class="lineno"> 1334</span> </div> <div class="line"><a name="l01335"></a><span class="lineno"> 1335</span> <span class="preprocessor">#endif // EIGEN_GENERAL_BLOCK_PANEL_H</span></div> <div class="ttc" id="namespaceEigen_1_1internal_html_ab6f60aaf02462826d5cef1f468636660"><div class="ttname"><a href="namespaceEigen_1_1internal.html#ab6f60aaf02462826d5cef1f468636660">Eigen::internal::computeProductBlockingSizes</a></div><div class="ttdeci">void computeProductBlockingSizes(SizeType &k, SizeType &m, SizeType &n)</div><div class="ttdoc">Computes the blocking parameters for a m x k times k x n matrix product. </div><div class="ttdef"><b>Definition:</b> GeneralBlockPanelKernel.h:73</div></div> <div class="ttc" id="group__enums_html_gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044"><div class="ttname"><a href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">Eigen::RowMajor</a></div><div class="ttdef"><b>Definition:</b> Constants.h:266</div></div> <div class="ttc" id="group__enums_html_gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf"><div class="ttname"><a href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">Eigen::ColMajor</a></div><div class="ttdef"><b>Definition:</b> Constants.h:264</div></div> <div class="ttc" id="namespaceEigen_html_a2cfc0330ba567d63a496be1cac8427ae"><div class="ttname"><a href="namespaceEigen.html#a2cfc0330ba567d63a496be1cac8427ae">Eigen::l2CacheSize</a></div><div class="ttdeci">std::ptrdiff_t l2CacheSize()</div><div class="ttdef"><b>Definition:</b> GeneralBlockPanelKernel.h:1316</div></div> <div class="ttc" id="namespaceEigen_html_acc8fa6822bfa316bdbcf8ad032e5edb6"><div class="ttname"><a href="namespaceEigen.html#acc8fa6822bfa316bdbcf8ad032e5edb6">Eigen::setCpuCacheSizes</a></div><div class="ttdeci">void setCpuCacheSizes(std::ptrdiff_t l1, std::ptrdiff_t l2)</div><div class="ttdef"><b>Definition:</b> GeneralBlockPanelKernel.h:1328</div></div> <div class="ttc" id="namespaceEigen_html_a2669f89ff38296a38e6d973552eb4e33"><div class="ttname"><a href="namespaceEigen.html#a2669f89ff38296a38e6d973552eb4e33">Eigen::l1CacheSize</a></div><div class="ttdeci">std::ptrdiff_t l1CacheSize()</div><div class="ttdef"><b>Definition:</b> GeneralBlockPanelKernel.h:1307</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_e49d68e3078f12dfcf157021597ad168.html">Eigen</a></li><li class="navelem"><a class="el" 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