<!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: SelfadjointMatrixMatrix.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! 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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_SELFADJOINT_MATRIX_MATRIX_H</span></div> <div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor"></span><span class="preprocessor">#define EIGEN_SELFADJOINT_MATRIX_MATRIX_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="comment">// pack a selfadjoint block diagonal for use with the gebp_kernel</span></div> <div class="line"><a name="l00018"></a><span class="lineno"> 18</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></div> <div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="keyword">struct </span>symm_pack_lhs</div> <div class="line"><a name="l00020"></a><span class="lineno"> 20</span> {</div> <div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keyword">template</span><<span class="keywordtype">int</span> BlockRows> <span class="keyword">inline</span></div> <div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keywordtype">void</span> pack(Scalar* blockA, <span class="keyword">const</span> const_blas_data_mapper<Scalar,Index,StorageOrder>& lhs, Index cols, Index i, Index& count)</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="comment">// normal copy</span></div> <div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keywordflow">for</span>(Index k=0; k<i; k++)</div> <div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keywordflow">for</span>(Index w=0; w<BlockRows; w++)</div> <div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  blockA[count++] = lhs(i+w,k); <span class="comment">// normal</span></div> <div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="comment">// symmetric copy</span></div> <div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  Index h = 0;</div> <div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keywordflow">for</span>(Index k=i; k<i+BlockRows; k++)</div> <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  {</div> <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">for</span>(Index w=0; w<h; w++)</div> <div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  blockA[count++] = numext::conj(lhs(k, i+w)); <span class="comment">// transposed</span></div> <div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div> <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  blockA[count++] = numext::real(lhs(k,k)); <span class="comment">// real (diagonal)</span></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>  <span class="keywordflow">for</span>(Index w=h+1; w<BlockRows; w++)</div> <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  blockA[count++] = lhs(i+w, k); <span class="comment">// normal</span></div> <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  ++h;</div> <div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  }</div> <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="comment">// transposed copy</span></div> <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordflow">for</span>(Index k=i+BlockRows; k<cols; k++)</div> <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordflow">for</span>(Index w=0; w<BlockRows; w++)</div> <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  blockA[count++] = numext::conj(lhs(k, i+w)); <span class="comment">// transposed</span></div> <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  }</div> <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordtype">void</span> operator()(Scalar* blockA, <span class="keyword">const</span> Scalar* _lhs, Index lhsStride, Index cols, Index rows)</div> <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  {</div> <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  const_blas_data_mapper<Scalar,Index,StorageOrder> lhs(_lhs,lhsStride);</div> <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  Index count = 0;</div> <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  Index peeled_mc = (rows/Pack1)*Pack1;</div> <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">for</span>(Index i=0; i<peeled_mc; i+=Pack1)</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>  pack<Pack1>(blockA, lhs, cols, i, count);</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>  <span class="keywordflow">if</span>(rows-peeled_mc>=Pack2)</div> <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  {</div> <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  pack<Pack2>(blockA, lhs, cols, peeled_mc, count);</div> <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  peeled_mc += Pack2;</div> <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  }</div> <div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div> <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="comment">// do the same with mr==1</span></div> <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">for</span>(Index i=peeled_mc; i<rows; i++)</div> <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  {</div> <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">for</span>(Index k=0; k<i; k++)</div> <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  blockA[count++] = lhs(i, k); <span class="comment">// normal</span></div> <div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div> <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  blockA[count++] = numext::real(lhs(i, i)); <span class="comment">// real (diagonal)</span></div> <div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div> <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">for</span>(Index k=i+1; k<cols; k++)</div> <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  blockA[count++] = numext::conj(lhs(k, i)); <span class="comment">// transposed</span></div> <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  }</div> <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  }</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> </div> <div class="line"><a name="l00076"></a><span class="lineno"> 76</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">int</span> StorageOrder></div> <div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="keyword">struct </span>symm_pack_rhs</div> <div class="line"><a name="l00078"></a><span class="lineno"> 78</span> {</div> <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keyword">enum</span> { PacketSize = packet_traits<Scalar>::size };</div> <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordtype">void</span> operator()(Scalar* blockB, <span class="keyword">const</span> Scalar* _rhs, Index rhsStride, Index rows, Index cols, Index k2)</div> <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  {</div> <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  Index end_k = k2 + rows;</div> <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  Index count = 0;</div> <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  const_blas_data_mapper<Scalar,Index,StorageOrder> rhs(_rhs,rhsStride);</div> <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  Index packet_cols = (cols/nr)*nr;</div> <div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div> <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="comment">// first part: normal case</span></div> <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">for</span>(Index j2=0; j2<k2; j2+=nr)</div> <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  {</div> <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordflow">for</span>(Index k=k2; k<end_k; k++)</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>  blockB[count+0] = rhs(k,j2+0);</div> <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  blockB[count+1] = rhs(k,j2+1);</div> <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">if</span> (nr==4)</div> <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  {</div> <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  blockB[count+2] = rhs(k,j2+2);</div> <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  blockB[count+3] = rhs(k,j2+3);</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>  count += nr;</div> <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  }</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> </div> <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="comment">// second part: diagonal block</span></div> <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">for</span>(Index j2=k2; j2<(std::min)(k2+rows,packet_cols); j2+=nr)</div> <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  {</div> <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="comment">// again we can split vertically in three different parts (transpose, symmetric, normal)</span></div> <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="comment">// transpose</span></div> <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">for</span>(Index k=k2; k<j2; k++)</div> <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  {</div> <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  blockB[count+0] = numext::conj(rhs(j2+0,k));</div> <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  blockB[count+1] = numext::conj(rhs(j2+1,k));</div> <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">if</span> (nr==4)</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>  blockB[count+2] = numext::conj(rhs(j2+2,k));</div> <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  blockB[count+3] = numext::conj(rhs(j2+3,k));</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>  count += nr;</div> <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  }</div> <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="comment">// symmetric</span></div> <div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  Index h = 0;</div> <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">for</span>(Index k=j2; k<j2+nr; k++)</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>  <span class="comment">// normal</span></div> <div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">for</span> (Index w=0 ; w<h; ++w)</div> <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  blockB[count+w] = rhs(k,j2+w);</div> <div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div> <div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  blockB[count+h] = numext::real(rhs(k,k));</div> <div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div> <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="comment">// transpose</span></div> <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordflow">for</span> (Index w=h+1 ; w<nr; ++w)</div> <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  blockB[count+w] = numext::conj(rhs(j2+w,k));</div> <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  count += nr;</div> <div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  ++h;</div> <div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  }</div> <div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="comment">// normal</span></div> <div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">for</span>(Index k=j2+nr; k<end_k; k++)</div> <div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  {</div> <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  blockB[count+0] = rhs(k,j2+0);</div> <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  blockB[count+1] = rhs(k,j2+1);</div> <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keywordflow">if</span> (nr==4)</div> <div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  {</div> <div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  blockB[count+2] = rhs(k,j2+2);</div> <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  blockB[count+3] = rhs(k,j2+3);</div> <div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  }</div> <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  count += nr;</div> <div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  }</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> </div> <div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="comment">// third part: transposed</span></div> <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordflow">for</span>(Index j2=k2+rows; j2<packet_cols; j2+=nr)</div> <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  {</div> <div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">for</span>(Index k=k2; k<end_k; k++)</div> <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  {</div> <div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  blockB[count+0] = numext::conj(rhs(j2+0,k));</div> <div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  blockB[count+1] = numext::conj(rhs(j2+1,k));</div> <div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">if</span> (nr==4)</div> <div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  {</div> <div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  blockB[count+2] = numext::conj(rhs(j2+2,k));</div> <div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  blockB[count+3] = numext::conj(rhs(j2+3,k));</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>  count += nr;</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>  }</div> <div class="line"><a name="l00164"></a><span class="lineno"> 164</span> </div> <div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="comment">// copy the remaining columns one at a time (=> the same with nr==1)</span></div> <div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordflow">for</span>(Index j2=packet_cols; j2<cols; ++j2)</div> <div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  {</div> <div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="comment">// transpose</span></div> <div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  Index half = (std::min)(end_k,j2);</div> <div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordflow">for</span>(Index k=k2; k<half; k++)</div> <div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  {</div> <div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  blockB[count] = numext::conj(rhs(j2,k));</div> <div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  count += 1;</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> </div> <div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">if</span>(half==j2 && half<k2+rows)</div> <div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  {</div> <div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  blockB[count] = numext::real(rhs(j2,j2));</div> <div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  count += 1;</div> <div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  }</div> <div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">else</span></div> <div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  half--;</div> <div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div> <div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="comment">// normal</span></div> <div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordflow">for</span>(Index k=half+1; k<k2+rows; k++)</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>  blockB[count] = rhs(k,j2);</div> <div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  count += 1;</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>  }</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> };</div> <div class="line"><a name="l00193"></a><span class="lineno"> 193</span> </div> <div class="line"><a name="l00194"></a><span class="lineno"> 194</span> <span class="comment">/* Optimized selfadjoint matrix * matrix (_SYMM) product built on top of</span></div> <div class="line"><a name="l00195"></a><span class="lineno"> 195</span> <span class="comment"> * the general matrix matrix product.</span></div> <div class="line"><a name="l00196"></a><span class="lineno"> 196</span> <span class="comment"> */</span></div> <div class="line"><a name="l00197"></a><span class="lineno"> 197</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index,</div> <div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordtype">int</span> LhsStorageOrder, <span class="keywordtype">bool</span> LhsSelfAdjoint, <span class="keywordtype">bool</span> ConjugateLhs,</div> <div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordtype">int</span> RhsStorageOrder, <span class="keywordtype">bool</span> RhsSelfAdjoint, <span class="keywordtype">bool</span> ConjugateRhs,</div> <div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordtype">int</span> ResStorageOrder></div> <div class="line"><a name="l00201"></a><span class="lineno"> 201</span> <span class="keyword">struct </span>product_selfadjoint_matrix;</div> <div class="line"><a name="l00202"></a><span class="lineno"> 202</span> </div> <div class="line"><a name="l00203"></a><span class="lineno"> 203</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index,</div> <div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keywordtype">int</span> LhsStorageOrder, <span class="keywordtype">bool</span> LhsSelfAdjoint, <span class="keywordtype">bool</span> ConjugateLhs,</div> <div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordtype">int</span> RhsStorageOrder, <span class="keywordtype">bool</span> RhsSelfAdjoint, <span class="keywordtype">bool</span> ConjugateRhs></div> <div class="line"><a name="l00206"></a><span class="lineno"> 206</span> <span class="keyword">struct </span>product_selfadjoint_matrix<Scalar,Index,LhsStorageOrder,LhsSelfAdjoint,ConjugateLhs, RhsStorageOrder,RhsSelfAdjoint,ConjugateRhs,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>></div> <div class="line"><a name="l00207"></a><span class="lineno"> 207</span> {</div> <div class="line"><a name="l00208"></a><span class="lineno"> 208</span> </div> <div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(</div> <div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  Index rows, Index cols,</div> <div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keyword">const</span> Scalar* lhs, Index lhsStride,</div> <div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keyword">const</span> Scalar* rhs, Index rhsStride,</div> <div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  Scalar* res, Index resStride,</div> <div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keyword">const</span> Scalar& alpha)</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>  product_selfadjoint_matrix<Scalar, Index,</div> <div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  EIGEN_LOGICAL_XOR(RhsSelfAdjoint,RhsStorageOrder==<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>) ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a> : <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>,</div> <div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  RhsSelfAdjoint, NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(RhsSelfAdjoint,ConjugateRhs),</div> <div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  EIGEN_LOGICAL_XOR(LhsSelfAdjoint,LhsStorageOrder==<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>) ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a> : <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>,</div> <div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  LhsSelfAdjoint, NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(LhsSelfAdjoint,ConjugateLhs),</div> <div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>></div> <div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  ::run(cols, rows, rhs, rhsStride, lhs, lhsStride, res, resStride, alpha);</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> };</div> <div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div> <div class="line"><a name="l00226"></a><span class="lineno"> 226</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index,</div> <div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keywordtype">int</span> LhsStorageOrder, <span class="keywordtype">bool</span> ConjugateLhs,</div> <div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordtype">int</span> RhsStorageOrder, <span class="keywordtype">bool</span> ConjugateRhs></div> <div class="line"><a name="l00229"></a><span class="lineno"> 229</span> <span class="keyword">struct </span>product_selfadjoint_matrix<Scalar,Index,LhsStorageOrder,true,ConjugateLhs, RhsStorageOrder,false,ConjugateRhs,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>></div> <div class="line"><a name="l00230"></a><span class="lineno"> 230</span> {</div> <div class="line"><a name="l00231"></a><span class="lineno"> 231</span> </div> <div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keyword">static</span> EIGEN_DONT_INLINE <span class="keywordtype">void</span> run(</div> <div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  Index rows, Index cols,</div> <div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keyword">const</span> Scalar* _lhs, Index lhsStride,</div> <div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keyword">const</span> Scalar* _rhs, Index rhsStride,</div> <div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  Scalar* res, Index resStride,</div> <div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keyword">const</span> Scalar& alpha);</div> <div class="line"><a name="l00238"></a><span class="lineno"> 238</span> };</div> <div class="line"><a name="l00239"></a><span class="lineno"> 239</span> </div> <div class="line"><a name="l00240"></a><span class="lineno"> 240</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index,</div> <div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordtype">int</span> LhsStorageOrder, <span class="keywordtype">bool</span> ConjugateLhs,</div> <div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keywordtype">int</span> RhsStorageOrder, <span class="keywordtype">bool</span> ConjugateRhs></div> <div class="line"><a name="l00243"></a><span class="lineno"> 243</span> EIGEN_DONT_INLINE <span class="keywordtype">void</span> product_selfadjoint_matrix<Scalar,Index,LhsStorageOrder,true,ConjugateLhs, RhsStorageOrder,false,ConjugateRhs,ColMajor>::run(</div> <div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  Index rows, Index cols,</div> <div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keyword">const</span> Scalar* _lhs, Index lhsStride,</div> <div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keyword">const</span> Scalar* _rhs, Index rhsStride,</div> <div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  Scalar* res, Index resStride,</div> <div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keyword">const</span> Scalar& alpha)</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>  Index size = rows;</div> <div class="line"><a name="l00251"></a><span class="lineno"> 251</span> </div> <div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  const_blas_data_mapper<Scalar, Index, LhsStorageOrder> lhs(_lhs,lhsStride);</div> <div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  const_blas_data_mapper<Scalar, Index, RhsStorageOrder> rhs(_rhs,rhsStride);</div> <div class="line"><a name="l00254"></a><span class="lineno"> 254</span> </div> <div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keyword">typedef</span> gebp_traits<Scalar,Scalar> Traits;</div> <div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div> <div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  Index kc = size; <span class="comment">// cache block size along the K direction</span></div> <div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  Index mc = rows; <span class="comment">// cache block size along the M direction</span></div> <div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  Index nc = cols; <span class="comment">// cache block size along the N direction</span></div> <div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  computeProductBlockingSizes<Scalar,Scalar>(kc, mc, nc);</div> <div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="comment">// kc must smaller than mc</span></div> <div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  kc = (std::min)(kc,mc);</div> <div class="line"><a name="l00263"></a><span class="lineno"> 263</span> </div> <div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  std::size_t sizeW = kc*Traits::WorkSpaceFactor;</div> <div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  std::size_t sizeB = sizeW + kc*cols;</div> <div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  ei_declare_aligned_stack_constructed_variable(Scalar, blockA, kc*mc, 0);</div> <div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  ei_declare_aligned_stack_constructed_variable(Scalar, allocatedBlockB, sizeB, 0);</div> <div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  Scalar* blockB = allocatedBlockB + sizeW;</div> <div class="line"><a name="l00269"></a><span class="lineno"> 269</span> </div> <div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  gebp_kernel<Scalar, Scalar, Index, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;</div> <div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  symm_pack_lhs<Scalar, Index, Traits::mr, Traits::LhsProgress, LhsStorageOrder> pack_lhs;</div> <div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  gemm_pack_rhs<Scalar, Index, Traits::nr,RhsStorageOrder> pack_rhs;</div> <div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  gemm_pack_lhs<Scalar, Index, Traits::mr, Traits::LhsProgress, LhsStorageOrder==RowMajor?ColMajor:RowMajor, true> pack_lhs_transposed;</div> <div class="line"><a name="l00274"></a><span class="lineno"> 274</span> </div> <div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">for</span>(Index k2=0; k2<size; k2+=kc)</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>  <span class="keyword">const</span> Index actual_kc = (std::min)(k2+kc,size)-k2;</div> <div class="line"><a name="l00278"></a><span class="lineno"> 278</span> </div> <div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="comment">// we have selected one row panel of rhs and one column panel of lhs</span></div> <div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="comment">// pack rhs's panel into a sequential chunk of memory</span></div> <div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="comment">// and expand each coeff to a constant packet for further reuse</span></div> <div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  pack_rhs(blockB, &rhs(k2,0), rhsStride, actual_kc, cols);</div> <div class="line"><a name="l00283"></a><span class="lineno"> 283</span> </div> <div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="comment">// the select lhs's panel has to be split in three different parts:</span></div> <div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="comment">// 1 - the transposed panel above the diagonal block => transposed packed copy</span></div> <div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="comment">// 2 - the diagonal block => special packed copy</span></div> <div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="comment">// 3 - the panel below the diagonal block => generic packed copy</span></div> <div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keywordflow">for</span>(Index i2=0; i2<k2; i2+=mc)</div> <div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  {</div> <div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keyword">const</span> Index actual_mc = (std::min)(i2+mc,k2)-i2;</div> <div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="comment">// transposed packed copy</span></div> <div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  pack_lhs_transposed(blockA, &lhs(k2, i2), lhsStride, actual_kc, actual_mc);</div> <div class="line"><a name="l00293"></a><span class="lineno"> 293</span> </div> <div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  gebp_kernel(res+i2, resStride, blockA, blockB, actual_mc, actual_kc, cols, alpha);</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>  <span class="comment">// the block diagonal</span></div> <div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  {</div> <div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keyword">const</span> Index actual_mc = (std::min)(k2+kc,size)-k2;</div> <div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="comment">// symmetric packed copy</span></div> <div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  pack_lhs(blockA, &lhs(k2,k2), lhsStride, actual_kc, actual_mc);</div> <div class="line"><a name="l00301"></a><span class="lineno"> 301</span> </div> <div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  gebp_kernel(res+k2, resStride, blockA, blockB, actual_mc, actual_kc, cols, alpha);</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> </div> <div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keywordflow">for</span>(Index i2=k2+kc; i2<size; i2+=mc)</div> <div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  {</div> <div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keyword">const</span> Index actual_mc = (std::min)(i2+mc,size)-i2;</div> <div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  gemm_pack_lhs<Scalar, Index, Traits::mr, Traits::LhsProgress, LhsStorageOrder,false>()</div> <div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  (blockA, &lhs(i2, k2), lhsStride, actual_kc, actual_mc);</div> <div class="line"><a name="l00310"></a><span class="lineno"> 310</span> </div> <div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  gebp_kernel(res+i2, resStride, blockA, blockB, actual_mc, actual_kc, cols, alpha);</div> <div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  }</div> <div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  }</div> <div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  }</div> <div class="line"><a name="l00315"></a><span class="lineno"> 315</span> </div> <div class="line"><a name="l00316"></a><span class="lineno"> 316</span> <span class="comment">// matrix * selfadjoint product</span></div> <div class="line"><a name="l00317"></a><span class="lineno"> 317</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index,</div> <div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keywordtype">int</span> LhsStorageOrder, <span class="keywordtype">bool</span> ConjugateLhs,</div> <div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordtype">int</span> RhsStorageOrder, <span class="keywordtype">bool</span> ConjugateRhs></div> <div class="line"><a name="l00320"></a><span class="lineno"> 320</span> <span class="keyword">struct </span>product_selfadjoint_matrix<Scalar,Index,LhsStorageOrder,false,ConjugateLhs, RhsStorageOrder,true,ConjugateRhs,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>></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> </div> <div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keyword">static</span> EIGEN_DONT_INLINE <span class="keywordtype">void</span> run(</div> <div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  Index rows, Index cols,</div> <div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="keyword">const</span> Scalar* _lhs, Index lhsStride,</div> <div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keyword">const</span> Scalar* _rhs, Index rhsStride,</div> <div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  Scalar* res, Index resStride,</div> <div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keyword">const</span> Scalar& alpha);</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> </div> <div class="line"><a name="l00331"></a><span class="lineno"> 331</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index,</div> <div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keywordtype">int</span> LhsStorageOrder, <span class="keywordtype">bool</span> ConjugateLhs,</div> <div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keywordtype">int</span> RhsStorageOrder, <span class="keywordtype">bool</span> ConjugateRhs></div> <div class="line"><a name="l00334"></a><span class="lineno"> 334</span> EIGEN_DONT_INLINE <span class="keywordtype">void</span> product_selfadjoint_matrix<Scalar,Index,LhsStorageOrder,false,ConjugateLhs, RhsStorageOrder,true,ConjugateRhs,ColMajor>::run(</div> <div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  Index rows, Index cols,</div> <div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="keyword">const</span> Scalar* _lhs, Index lhsStride,</div> <div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keyword">const</span> Scalar* _rhs, Index rhsStride,</div> <div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  Scalar* res, Index resStride,</div> <div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keyword">const</span> Scalar& alpha)</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>  Index size = cols;</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>  const_blas_data_mapper<Scalar, Index, LhsStorageOrder> lhs(_lhs,lhsStride);</div> <div class="line"><a name="l00344"></a><span class="lineno"> 344</span> </div> <div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keyword">typedef</span> gebp_traits<Scalar,Scalar> Traits;</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>  Index kc = size; <span class="comment">// cache block size along the K direction</span></div> <div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  Index mc = rows; <span class="comment">// cache block size along the M direction</span></div> <div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  Index nc = cols; <span class="comment">// cache block size along the N direction</span></div> <div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  computeProductBlockingSizes<Scalar,Scalar>(kc, mc, nc);</div> <div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  std::size_t sizeW = kc*Traits::WorkSpaceFactor;</div> <div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  std::size_t sizeB = sizeW + kc*cols;</div> <div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  ei_declare_aligned_stack_constructed_variable(Scalar, blockA, kc*mc, 0);</div> <div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  ei_declare_aligned_stack_constructed_variable(Scalar, allocatedBlockB, sizeB, 0);</div> <div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  Scalar* blockB = allocatedBlockB + sizeW;</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>  gebp_kernel<Scalar, Scalar, Index, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;</div> <div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  gemm_pack_lhs<Scalar, Index, Traits::mr, Traits::LhsProgress, LhsStorageOrder> pack_lhs;</div> <div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  symm_pack_rhs<Scalar, Index, Traits::nr,RhsStorageOrder> pack_rhs;</div> <div class="line"><a name="l00360"></a><span class="lineno"> 360</span> </div> <div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keywordflow">for</span>(Index k2=0; k2<size; k2+=kc)</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>  <span class="keyword">const</span> Index actual_kc = (std::min)(k2+kc,size)-k2;</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>  pack_rhs(blockB, _rhs, rhsStride, actual_kc, cols, k2);</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>  <span class="comment">// => GEPP</span></div> <div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keywordflow">for</span>(Index i2=0; i2<rows; i2+=mc)</div> <div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  {</div> <div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keyword">const</span> Index actual_mc = (std::min)(i2+mc,rows)-i2;</div> <div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  pack_lhs(blockA, &lhs(i2, k2), lhsStride, actual_kc, actual_mc);</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>  gebp_kernel(res+i2, resStride, blockA, blockB, actual_mc, actual_kc, cols, alpha);</div> <div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  }</div> <div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  }</div> <div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  }</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> } <span class="comment">// end namespace internal</span></div> <div class="line"><a name="l00379"></a><span class="lineno"> 379</span> </div> <div class="line"><a name="l00380"></a><span class="lineno"> 380</span> <span class="comment">/***************************************************************************</span></div> <div class="line"><a name="l00381"></a><span class="lineno"> 381</span> <span class="comment">* Wrapper to product_selfadjoint_matrix</span></div> <div class="line"><a name="l00382"></a><span class="lineno"> 382</span> <span class="comment">***************************************************************************/</span></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> <span class="keyword">namespace </span>internal {</div> <div class="line"><a name="l00385"></a><span class="lineno"> 385</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keywordtype">int</span> LhsMode, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> RhsMode></div> <div class="line"><a name="l00386"></a><span class="lineno"> 386</span> <span class="keyword">struct </span>traits<SelfadjointProductMatrix<Lhs,LhsMode,false,Rhs,RhsMode,false> ></div> <div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  : traits<ProductBase<SelfadjointProductMatrix<Lhs,LhsMode,false,Rhs,RhsMode,false>, Lhs, Rhs> ></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> </div> <div class="line"><a name="l00391"></a><span class="lineno"> 391</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keywordtype">int</span> LhsMode, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> RhsMode></div> <div class="line"><a name="l00392"></a><span class="lineno"> 392</span> <span class="keyword">struct </span>SelfadjointProductMatrix<Lhs,LhsMode,false,Rhs,RhsMode,false></div> <div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  : <span class="keyword">public</span> ProductBase<SelfadjointProductMatrix<Lhs,LhsMode,false,Rhs,RhsMode,false>, Lhs, Rhs ></div> <div class="line"><a name="l00394"></a><span class="lineno"> 394</span> {</div> <div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  EIGEN_PRODUCT_PUBLIC_INTERFACE(SelfadjointProductMatrix)</div> <div class="line"><a name="l00396"></a><span class="lineno"> 396</span> </div> <div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  SelfadjointProductMatrix(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs) {}</div> <div class="line"><a name="l00398"></a><span class="lineno"> 398</span> </div> <div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="keyword">enum</span> {</div> <div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  LhsIsUpper = (LhsMode&(<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a>|<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a>))==<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a>,</div> <div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  LhsIsSelfAdjoint = (LhsMode&<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bac2a895b4256c681bdaa7cce26ab4e487">SelfAdjoint</a>)==<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bac2a895b4256c681bdaa7cce26ab4e487">SelfAdjoint</a>,</div> <div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  RhsIsUpper = (RhsMode&(<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a>|<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Lower</a>))==<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Upper</a>,</div> <div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  RhsIsSelfAdjoint = (RhsMode&<a class="code" href="group__enums.html#ggab59c1bec446b10af208f977a871d910bac2a895b4256c681bdaa7cce26ab4e487">SelfAdjoint</a>)==SelfAdjoint</div> <div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  };</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="keyword">template</span><<span class="keyword">typename</span> Dest> <span class="keywordtype">void</span> scaleAndAddTo(Dest& dst, <span class="keyword">const</span> Scalar& alpha)<span class="keyword"> const</span></div> <div class="line"><a name="l00407"></a><span class="lineno"> 407</span> <span class="keyword"> </span>{</div> <div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  eigen_assert(dst.rows()==m_lhs.rows() && dst.cols()==m_rhs.cols());</div> <div class="line"><a name="l00409"></a><span class="lineno"> 409</span> </div> <div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keyword">typename</span> internal::add_const_on_value_type<ActualLhsType>::type lhs = LhsBlasTraits::extract(m_lhs);</div> <div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keyword">typename</span> internal::add_const_on_value_type<ActualRhsType>::type rhs = RhsBlasTraits::extract(m_rhs);</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>  Scalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(m_lhs)</div> <div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  * RhsBlasTraits::extractScalarFactor(m_rhs);</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>  internal::product_selfadjoint_matrix<Scalar, Index,</div> <div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  EIGEN_LOGICAL_XOR(LhsIsUpper,</div> <div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  internal::traits<Lhs>::Flags &<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>) ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a> : <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>, LhsIsSelfAdjoint,</div> <div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(LhsIsUpper,<span class="keywordtype">bool</span>(LhsBlasTraits::NeedToConjugate)),</div> <div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  EIGEN_LOGICAL_XOR(RhsIsUpper,</div> <div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  internal::traits<Rhs>::Flags &<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>) ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a> : <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>, RhsIsSelfAdjoint,</div> <div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(RhsIsUpper,<span class="keywordtype">bool</span>(RhsBlasTraits::NeedToConjugate)),</div> <div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  internal::traits<Dest>::Flags&<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a> ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a> : <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>></div> <div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  ::run(</div> <div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  lhs.rows(), rhs.cols(), <span class="comment">// sizes</span></div> <div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  &lhs.coeffRef(0,0), lhs.outerStride(), <span class="comment">// lhs info</span></div> <div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  &rhs.coeffRef(0,0), rhs.outerStride(), <span class="comment">// rhs info</span></div> <div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  &dst.coeffRef(0,0), dst.outerStride(), <span class="comment">// result info</span></div> <div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  actualAlpha <span class="comment">// alpha</span></div> <div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  );</div> <div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  }</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> </div> <div class="line"><a name="l00434"></a><span class="lineno"> 434</span> } <span class="comment">// end namespace Eigen</span></div> <div class="line"><a name="l00435"></a><span class="lineno"> 435</span> </div> <div class="line"><a name="l00436"></a><span class="lineno"> 436</span> <span class="preprocessor">#endif // EIGEN_SELFADJOINT_MATRIX_MATRIX_H</span></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="group__enums_html_ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e"><div class="ttname"><a href="group__enums.html#ggab59c1bec446b10af208f977a871d910bae70afef0d3ff7aca74e17e85ff6c9f2e">Eigen::Upper</a></div><div class="ttdef"><b>Definition:</b> Constants.h:169</div></div> <div class="ttc" id="group__enums_html_ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc"><div class="ttname"><a href="group__enums.html#ggab59c1bec446b10af208f977a871d910baf886b397626076218462d53d50eb96bc">Eigen::Lower</a></div><div class="ttdef"><b>Definition:</b> Constants.h:167</div></div> <div class="ttc" id="group__enums_html_ggab59c1bec446b10af208f977a871d910bac2a895b4256c681bdaa7cce26ab4e487"><div class="ttname"><a href="group__enums.html#ggab59c1bec446b10af208f977a871d910bac2a895b4256c681bdaa7cce26ab4e487">Eigen::SelfAdjoint</a></div><div class="ttdef"><b>Definition:</b> Constants.h:183</div></div> <div class="ttc" id="group__flags_html_ga7bd49e7b260e869e10fb9dc4fd081a85"><div class="ttname"><a href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">Eigen::RowMajorBit</a></div><div class="ttdeci">const unsigned int RowMajorBit</div><div class="ttdef"><b>Definition:</b> Constants.h:53</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 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