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<div class="title">GeneralMatrixVector.h</div> </div>
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<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_MATRIX_VECTOR_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_MATRIX_VECTOR_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">/* Optimized col-major matrix * vector product:</span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * This algorithm processes 4 columns at onces that allows to both reduce</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * the number of load/stores of the result by a factor 4 and to reduce</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * the instruction dependency. Moreover, we know that all bands have the</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * same alignment pattern.</span></div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> *</span></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> * Mixing type logic: C += alpha * A * B</span></div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment"> * | A | B |alpha| comments</span></div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment"> * |real |cplx |cplx | no vectorization</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment"> * |real |cplx |real | alpha is converted to a cplx when calling the run function, no vectorization</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment"> * |cplx |real |cplx | invalid, the caller has to do tmp: = A * B; C += alpha*tmp</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment"> * |cplx |real |real | optimal case, vectorization possible via real-cplx mul</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment"> */</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">template</span><<span class="keyword">typename</span> Index, <span class="keyword">typename</span> LhsScalar, <span class="keywordtype">bool</span> ConjugateLhs, <span class="keyword">typename</span> RhsScalar, <span class="keywordtype">bool</span> ConjugateRhs, <span class="keywordtype">int</span> Version></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">struct </span>general_matrix_vector_product<Index,LhsScalar,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>,ConjugateLhs,RhsScalar,ConjugateRhs,Version></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> {</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword">typedef</span> <span class="keyword">typename</span> scalar_product_traits<LhsScalar, RhsScalar>::ReturnType ResScalar;</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> <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  Vectorizable = packet_traits<LhsScalar>::Vectorizable && packet_traits<RhsScalar>::Vectorizable</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  && int(packet_traits<LhsScalar>::size)==int(packet_traits<RhsScalar>::size),</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  LhsPacketSize = Vectorizable ? packet_traits<LhsScalar>::size : 1,</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  RhsPacketSize = Vectorizable ? packet_traits<RhsScalar>::size : 1,</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  ResPacketSize = Vectorizable ? packet_traits<ResScalar>::size : 1</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> };</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<LhsScalar>::type _LhsPacket;</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<RhsScalar>::type _RhsPacket;</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<ResScalar>::type _ResPacket;</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> <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;</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> EIGEN_DONT_INLINE <span class="keyword">static</span> <span class="keywordtype">void</span> run(</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  Index rows, Index cols,</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">const</span> LhsScalar* lhs, Index lhsStride,</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">const</span> RhsScalar* rhs, Index rhsIncr,</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  ResScalar* res, Index</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  #ifdef EIGEN_INTERNAL_DEBUGGING</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  resIncr</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  #endif</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  , RhsScalar alpha);</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="keyword">template</span><<span class="keyword">typename</span> Index, <span class="keyword">typename</span> LhsScalar, <span class="keywordtype">bool</span> ConjugateLhs, <span class="keyword">typename</span> RhsScalar, <span class="keywordtype">bool</span> ConjugateRhs, <span class="keywordtype">int</span> Version></div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span> EIGEN_DONT_INLINE <span class="keywordtype">void</span> general_matrix_vector_product<Index,LhsScalar,ColMajor,ConjugateLhs,RhsScalar,ConjugateRhs,Version>::run(</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  Index rows, Index cols,</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keyword">const</span> LhsScalar* lhs, Index lhsStride,</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">const</span> RhsScalar* rhs, Index rhsIncr,</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  ResScalar* res, Index</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  #ifdef EIGEN_INTERNAL_DEBUGGING</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  resIncr</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  #endif</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  , RhsScalar alpha)</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>  eigen_internal_assert(resIncr==1);</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="preprocessor"> #ifdef _EIGEN_ACCUMULATE_PACKETS</span></div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="preprocessor"></span><span class="preprocessor"> #error _EIGEN_ACCUMULATE_PACKETS has already been defined</span></div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="preprocessor"></span><span class="preprocessor"> #endif</span></div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="preprocessor"></span><span class="preprocessor"> #define _EIGEN_ACCUMULATE_PACKETS(A0,A13,A2) \</span></div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="preprocessor"> pstore(&res[j], \</span></div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="preprocessor"> padd(pload<ResPacket>(&res[j]), \</span></div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="preprocessor"> padd( \</span></div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="preprocessor"> padd(pcj.pmul(EIGEN_CAT(ploa , A0)<LhsPacket>(&lhs0[j]), ptmp0), \</span></div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="preprocessor"> pcj.pmul(EIGEN_CAT(ploa , A13)<LhsPacket>(&lhs1[j]), ptmp1)), \</span></div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="preprocessor"> padd(pcj.pmul(EIGEN_CAT(ploa , A2)<LhsPacket>(&lhs2[j]), ptmp2), \</span></div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="preprocessor"> pcj.pmul(EIGEN_CAT(ploa , A13)<LhsPacket>(&lhs3[j]), ptmp3)) )))</span></div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  conj_helper<LhsScalar,RhsScalar,ConjugateLhs,ConjugateRhs> cj;</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">if</span>(ConjugateRhs)</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  alpha = numext::conj(alpha);</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keyword">enum</span> { AllAligned = 0, EvenAligned, FirstAligned, NoneAligned };</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keyword">const</span> Index columnsAtOnce = 4;</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keyword">const</span> Index peels = 2;</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keyword">const</span> Index LhsPacketAlignedMask = LhsPacketSize-1;</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keyword">const</span> Index ResPacketAlignedMask = ResPacketSize-1;</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="comment">// const Index PeelAlignedMask = ResPacketSize*peels-1;</span></div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keyword">const</span> Index size = rows;</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="comment">// How many coeffs of the result do we have to skip to be aligned.</span></div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="comment">// Here we assume data are at least aligned on the base scalar type.</span></div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  Index alignedStart = internal::first_aligned(res,size);</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  Index alignedSize = ResPacketSize>1 ? alignedStart + ((size-alignedStart) & ~ResPacketAlignedMask) : 0;</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keyword">const</span> Index peeledSize = alignedSize - RhsPacketSize*peels - RhsPacketSize + 1;</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="keyword">const</span> Index alignmentStep = LhsPacketSize>1 ? (LhsPacketSize - lhsStride % LhsPacketSize) & LhsPacketAlignedMask : 0;</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  Index alignmentPattern = alignmentStep==0 ? AllAligned</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  : alignmentStep==(LhsPacketSize/2) ? EvenAligned</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  : FirstAligned;</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>  <span class="comment">// we cannot assume the first element is aligned because of sub-matrices</span></div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keyword">const</span> Index lhsAlignmentOffset = internal::first_aligned(lhs,size);</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="comment">// find how many columns do we have to skip to be aligned with the result (if possible)</span></div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  Index skipColumns = 0;</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="comment">// if the data cannot be aligned (TODO add some compile time tests when possible, e.g. for floats)</span></div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordflow">if</span>( (<span class="keywordtype">size_t</span>(lhs)%<span class="keyword">sizeof</span>(LhsScalar)) || (<span class="keywordtype">size_t</span>(res)%<span class="keyword">sizeof</span>(ResScalar)) )</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>  alignedSize = 0;</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  alignedStart = 0;</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>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (LhsPacketSize>1)</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>  eigen_internal_assert(<span class="keywordtype">size_t</span>(lhs+lhsAlignmentOffset)%<span class="keyword">sizeof</span>(LhsPacket)==0 || size<LhsPacketSize);</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="keywordflow">while</span> (skipColumns<LhsPacketSize &&</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  alignedStart != ((lhsAlignmentOffset + alignmentStep*skipColumns)%LhsPacketSize))</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  ++skipColumns;</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">if</span> (skipColumns==LhsPacketSize)</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>  <span class="comment">// nothing can be aligned, no need to skip any column</span></div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  alignmentPattern = NoneAligned;</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  skipColumns = 0;</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  }</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  {</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  skipColumns = (std::min)(skipColumns,cols);</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="comment">// note that the skiped columns are processed later.</span></div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  }</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  eigen_internal_assert( (alignmentPattern==NoneAligned)</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  || (skipColumns + columnsAtOnce >= cols)</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  || LhsPacketSize > size</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  || (<span class="keywordtype">size_t</span>(lhs+alignedStart+lhsStride*skipColumns)%<span class="keyword">sizeof</span>(LhsPacket))==0);</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>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(Vectorizable)</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>  alignedStart = 0;</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  alignedSize = size;</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  alignmentPattern = AllAligned;</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  }</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>  Index offset1 = (FirstAligned && alignmentStep==1?3:1);</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  Index offset3 = (FirstAligned && alignmentStep==1?1:3);</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span> </div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  Index columnBound = ((cols-skipColumns)/columnsAtOnce)*columnsAtOnce + skipColumns;</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">for</span> (Index i=skipColumns; i<columnBound; i+=columnsAtOnce)</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>  RhsPacket ptmp0 = pset1<RhsPacket>(alpha*rhs[i*rhsIncr]),</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  ptmp1 = pset1<RhsPacket>(alpha*rhs[(i+offset1)*rhsIncr]),</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  ptmp2 = pset1<RhsPacket>(alpha*rhs[(i+2)*rhsIncr]),</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  ptmp3 = pset1<RhsPacket>(alpha*rhs[(i+offset3)*rhsIncr]);</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">// this helps a lot generating better binary code</span></div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keyword">const</span> LhsScalar *lhs0 = lhs + i*lhsStride, *lhs1 = lhs + (i+offset1)*lhsStride,</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  *lhs2 = lhs + (i+2)*lhsStride, *lhs3 = lhs + (i+offset3)*lhsStride;</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">if</span> (Vectorizable)</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>  <span class="comment">/* explicit vectorization */</span></div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="comment">// process initial unaligned coeffs</span></div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keywordflow">for</span> (Index j=0; j<alignedStart; ++j)</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  {</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  res[j] = cj.pmadd(lhs0[j], pfirst(ptmp0), res[j]);</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  res[j] = cj.pmadd(lhs1[j], pfirst(ptmp1), res[j]);</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  res[j] = cj.pmadd(lhs2[j], pfirst(ptmp2), res[j]);</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  res[j] = cj.pmadd(lhs3[j], pfirst(ptmp3), res[j]);</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> </div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keywordflow">if</span> (alignedSize>alignedStart)</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">switch</span>(alignmentPattern)</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="keywordflow">case</span> AllAligned:</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">for</span> (Index j = alignedStart; j<alignedSize; j+=ResPacketSize)</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  _EIGEN_ACCUMULATE_PACKETS(d,d,d);</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordflow">case</span> EvenAligned:</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordflow">for</span> (Index j = alignedStart; j<alignedSize; j+=ResPacketSize)</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  _EIGEN_ACCUMULATE_PACKETS(d,du,d);</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordflow">case</span> FirstAligned:</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>  Index j = alignedStart;</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keywordflow">if</span>(peels>1)</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>  LhsPacket A00, A01, A02, A03, A10, A11, A12, A13;</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  ResPacket T0, T1;</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span> </div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  A01 = pload<LhsPacket>(&lhs1[alignedStart-1]);</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  A02 = pload<LhsPacket>(&lhs2[alignedStart-2]);</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  A03 = pload<LhsPacket>(&lhs3[alignedStart-3]);</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="keywordflow">for</span> (; j<peeledSize; j+=peels*ResPacketSize)</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>  A11 = pload<LhsPacket>(&lhs1[j-1+LhsPacketSize]); palign<1>(A01,A11);</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  A12 = pload<LhsPacket>(&lhs2[j-2+LhsPacketSize]); palign<2>(A02,A12);</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  A13 = pload<LhsPacket>(&lhs3[j-3+LhsPacketSize]); palign<3>(A03,A13);</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>  A00 = pload<LhsPacket>(&lhs0[j]);</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  A10 = pload<LhsPacket>(&lhs0[j+LhsPacketSize]);</div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  T0 = pcj.pmadd(A00, ptmp0, pload<ResPacket>(&res[j]));</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  T1 = pcj.pmadd(A10, ptmp0, pload<ResPacket>(&res[j+ResPacketSize]));</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span> </div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  T0 = pcj.pmadd(A01, ptmp1, T0);</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  A01 = pload<LhsPacket>(&lhs1[j-1+2*LhsPacketSize]); palign<1>(A11,A01);</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  T0 = pcj.pmadd(A02, ptmp2, T0);</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  A02 = pload<LhsPacket>(&lhs2[j-2+2*LhsPacketSize]); palign<2>(A12,A02);</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  T0 = pcj.pmadd(A03, ptmp3, T0);</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  pstore(&res[j],T0);</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  A03 = pload<LhsPacket>(&lhs3[j-3+2*LhsPacketSize]); palign<3>(A13,A03);</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  T1 = pcj.pmadd(A11, ptmp1, T1);</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  T1 = pcj.pmadd(A12, ptmp2, T1);</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  T1 = pcj.pmadd(A13, ptmp3, T1);</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  pstore(&res[j+ResPacketSize],T1);</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>  }</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keywordflow">for</span> (; j<alignedSize; j+=ResPacketSize)</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  _EIGEN_ACCUMULATE_PACKETS(d,du,du);</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordflow">break</span>;</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>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">for</span> (Index j = alignedStart; j<alignedSize; j+=ResPacketSize)</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  _EIGEN_ACCUMULATE_PACKETS(du,du,du);</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  }</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>  } <span class="comment">// end explicit vectorization</span></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>  <span class="comment">/* process remaining coeffs (or all if there is no explicit vectorization) */</span></div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keywordflow">for</span> (Index j=alignedSize; j<size; ++j)</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>  res[j] = cj.pmadd(lhs0[j], pfirst(ptmp0), res[j]);</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  res[j] = cj.pmadd(lhs1[j], pfirst(ptmp1), res[j]);</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  res[j] = cj.pmadd(lhs2[j], pfirst(ptmp2), res[j]);</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  res[j] = cj.pmadd(lhs3[j], pfirst(ptmp3), res[j]);</div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  }</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  }</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span> </div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="comment">// process remaining first and last columns (at most columnsAtOnce-1)</span></div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  Index end = cols;</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  Index start = columnBound;</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">do</span></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="keywordflow">for</span> (Index k=start; k<end; ++k)</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>  RhsPacket ptmp0 = pset1<RhsPacket>(alpha*rhs[k*rhsIncr]);</div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keyword">const</span> LhsScalar* lhs0 = lhs + k*lhsStride;</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span> </div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordflow">if</span> (Vectorizable)</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>  <span class="comment">/* explicit vectorization */</span></div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="comment">// process first unaligned result's coeffs</span></div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keywordflow">for</span> (Index j=0; j<alignedStart; ++j)</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  res[j] += cj.pmul(lhs0[j], pfirst(ptmp0));</div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="comment">// process aligned result's coeffs</span></div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keywordflow">if</span> ((<span class="keywordtype">size_t</span>(lhs0+alignedStart)%<span class="keyword">sizeof</span>(LhsPacket))==0)</div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">for</span> (Index i = alignedStart;i<alignedSize;i+=ResPacketSize)</div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  pstore(&res[i], pcj.pmadd(ploadu<LhsPacket>(&lhs0[i]), ptmp0, pload<ResPacket>(&res[i])));</div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keywordflow">for</span> (Index i = alignedStart;i<alignedSize;i+=ResPacketSize)</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  pstore(&res[i], pcj.pmadd(ploadu<LhsPacket>(&lhs0[i]), ptmp0, pload<ResPacket>(&res[i])));</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  }</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span> </div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="comment">// process remaining scalars (or all if no explicit vectorization)</span></div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">for</span> (Index i=alignedSize; i<size; ++i)</div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  res[i] += cj.pmul(lhs0[i], pfirst(ptmp0));</div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  }</div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keywordflow">if</span> (skipColumns)</div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  {</div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  start = 0;</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  end = skipColumns;</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  skipColumns = 0;</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="keywordflow">else</span></div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  } <span class="keywordflow">while</span>(Vectorizable);</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span> <span class="preprocessor"> #undef _EIGEN_ACCUMULATE_PACKETS</span></div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span> <span class="preprocessor"></span>}</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="comment">/* Optimized row-major matrix * vector product:</span></div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span> <span class="comment"> * This algorithm processes 4 rows at onces that allows to both reduce</span></div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span> <span class="comment"> * the number of load/stores of the result by a factor 4 and to reduce</span></div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span> <span class="comment"> * the instruction dependency. Moreover, we know that all bands have the</span></div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span> <span class="comment"> * same alignment pattern.</span></div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span> <span class="comment"> *</span></div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span> <span class="comment"> * Mixing type logic:</span></div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span> <span class="comment"> * - alpha is always a complex (or converted to a complex)</span></div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span> <span class="comment"> * - no vectorization</span></div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span> <span class="comment"> */</span></div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span> <span class="keyword">template</span><<span class="keyword">typename</span> Index, <span class="keyword">typename</span> LhsScalar, <span class="keywordtype">bool</span> ConjugateLhs, <span class="keyword">typename</span> RhsScalar, <span class="keywordtype">bool</span> ConjugateRhs, <span class="keywordtype">int</span> Version></div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span> <span class="keyword">struct </span>general_matrix_vector_product<Index,LhsScalar,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>,ConjugateLhs,RhsScalar,ConjugateRhs,Version></div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span> {</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span> <span class="keyword">typedef</span> <span class="keyword">typename</span> scalar_product_traits<LhsScalar, RhsScalar>::ReturnType ResScalar;</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="keyword">enum</span> {</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  Vectorizable = packet_traits<LhsScalar>::Vectorizable && packet_traits<RhsScalar>::Vectorizable</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  && int(packet_traits<LhsScalar>::size)==int(packet_traits<RhsScalar>::size),</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  LhsPacketSize = Vectorizable ? packet_traits<LhsScalar>::size : 1,</div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  RhsPacketSize = Vectorizable ? packet_traits<RhsScalar>::size : 1,</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  ResPacketSize = Vectorizable ? packet_traits<ResScalar>::size : 1</div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span> };</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> <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<LhsScalar>::type _LhsPacket;</div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span> <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<RhsScalar>::type _RhsPacket;</div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span> <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<ResScalar>::type _ResPacket;</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span> </div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span> <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span> <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;</div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span> <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  </div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span> EIGEN_DONT_INLINE <span class="keyword">static</span> <span class="keywordtype">void</span> run(</div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  Index rows, Index cols,</div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keyword">const</span> LhsScalar* lhs, Index lhsStride,</div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keyword">const</span> RhsScalar* rhs, Index rhsIncr,</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  ResScalar* res, Index resIncr,</div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  ResScalar alpha);</div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span> };</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span> </div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span> <span class="keyword">template</span><<span class="keyword">typename</span> Index, <span class="keyword">typename</span> LhsScalar, <span class="keywordtype">bool</span> ConjugateLhs, <span class="keyword">typename</span> RhsScalar, <span class="keywordtype">bool</span> ConjugateRhs, <span class="keywordtype">int</span> Version></div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span> EIGEN_DONT_INLINE <span class="keywordtype">void</span> general_matrix_vector_product<Index,LhsScalar,RowMajor,ConjugateLhs,RhsScalar,ConjugateRhs,Version>::run(</div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  Index rows, Index cols,</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keyword">const</span> LhsScalar* lhs, Index lhsStride,</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keyword">const</span> RhsScalar* rhs, Index rhsIncr,</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  ResScalar* res, Index resIncr,</div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  ResScalar alpha)</div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span> {</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  EIGEN_UNUSED_VARIABLE(rhsIncr);</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  eigen_internal_assert(rhsIncr==1);</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span> <span class="preprocessor"> #ifdef _EIGEN_ACCUMULATE_PACKETS</span></div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span> <span class="preprocessor"></span><span class="preprocessor"> #error _EIGEN_ACCUMULATE_PACKETS has already been defined</span></div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span> <span class="preprocessor"></span><span class="preprocessor"> #endif</span></div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span> <span class="preprocessor"> #define _EIGEN_ACCUMULATE_PACKETS(A0,A13,A2) {\</span></div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span> <span class="preprocessor"> RhsPacket b = pload<RhsPacket>(&rhs[j]); \</span></div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span> <span class="preprocessor"> ptmp0 = pcj.pmadd(EIGEN_CAT(ploa,A0) <LhsPacket>(&lhs0[j]), b, ptmp0); \</span></div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span> <span class="preprocessor"> ptmp1 = pcj.pmadd(EIGEN_CAT(ploa,A13)<LhsPacket>(&lhs1[j]), b, ptmp1); \</span></div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span> <span class="preprocessor"> ptmp2 = pcj.pmadd(EIGEN_CAT(ploa,A2) <LhsPacket>(&lhs2[j]), b, ptmp2); \</span></div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span> <span class="preprocessor"> ptmp3 = pcj.pmadd(EIGEN_CAT(ploa,A13)<LhsPacket>(&lhs3[j]), b, ptmp3); }</span></div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  conj_helper<LhsScalar,RhsScalar,ConjugateLhs,ConjugateRhs> cj;</div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;</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="keyword">enum</span> { AllAligned=0, EvenAligned=1, FirstAligned=2, NoneAligned=3 };</div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keyword">const</span> Index rowsAtOnce = 4;</div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keyword">const</span> Index peels = 2;</div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keyword">const</span> Index RhsPacketAlignedMask = RhsPacketSize-1;</div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keyword">const</span> Index LhsPacketAlignedMask = LhsPacketSize-1;</div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span> <span class="comment">// const Index PeelAlignedMask = RhsPacketSize*peels-1;</span></div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keyword">const</span> Index depth = cols;</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="comment">// How many coeffs of the result do we have to skip to be aligned.</span></div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="comment">// Here we assume data are at least aligned on the base scalar type</span></div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="comment">// if that's not the case then vectorization is discarded, see below.</span></div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  Index alignedStart = internal::first_aligned(rhs, depth);</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  Index alignedSize = RhsPacketSize>1 ? alignedStart + ((depth-alignedStart) & ~RhsPacketAlignedMask) : 0;</div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keyword">const</span> Index peeledSize = alignedSize - RhsPacketSize*peels - RhsPacketSize + 1;</div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span> </div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keyword">const</span> Index alignmentStep = LhsPacketSize>1 ? (LhsPacketSize - lhsStride % LhsPacketSize) & LhsPacketAlignedMask : 0;</div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  Index alignmentPattern = alignmentStep==0 ? AllAligned</div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  : alignmentStep==(LhsPacketSize/2) ? EvenAligned</div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  : FirstAligned;</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">// we cannot assume the first element is aligned because of sub-matrices</span></div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keyword">const</span> Index lhsAlignmentOffset = internal::first_aligned(lhs,depth);</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>  <span class="comment">// find how many rows do we have to skip to be aligned with rhs (if possible)</span></div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  Index skipRows = 0;</div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <span class="comment">// if the data cannot be aligned (TODO add some compile time tests when possible, e.g. for floats)</span></div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="keywordflow">if</span>( (<span class="keyword">sizeof</span>(LhsScalar)!=<span class="keyword">sizeof</span>(RhsScalar)) || (<span class="keywordtype">size_t</span>(lhs)%<span class="keyword">sizeof</span>(LhsScalar)) || (<span class="keywordtype">size_t</span>(rhs)%<span class="keyword">sizeof</span>(RhsScalar)) )</div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  {</div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  alignedSize = 0;</div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  alignedStart = 0;</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="keywordflow">else</span> <span class="keywordflow">if</span> (LhsPacketSize>1)</div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  {</div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  eigen_internal_assert(<span class="keywordtype">size_t</span>(lhs+lhsAlignmentOffset)%<span class="keyword">sizeof</span>(LhsPacket)==0 || depth<LhsPacketSize);</div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span> </div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keywordflow">while</span> (skipRows<LhsPacketSize &&</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  alignedStart != ((lhsAlignmentOffset + alignmentStep*skipRows)%LhsPacketSize))</div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  ++skipRows;</div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keywordflow">if</span> (skipRows==LhsPacketSize)</div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  {</div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="comment">// nothing can be aligned, no need to skip any column</span></div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  alignmentPattern = NoneAligned;</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  skipRows = 0;</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>  <span class="keywordflow">else</span></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>  skipRows = (std::min)(skipRows,Index(rows));</div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="comment">// note that the skiped columns are processed later.</span></div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  }</div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  eigen_internal_assert( alignmentPattern==NoneAligned</div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  || LhsPacketSize==1</div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  || (skipRows + rowsAtOnce >= rows)</div>
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  || LhsPacketSize > depth</div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  || (<span class="keywordtype">size_t</span>(lhs+alignedStart+lhsStride*skipRows)%<span class="keyword">sizeof</span>(LhsPacket))==0);</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>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(Vectorizable)</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>  alignedStart = 0;</div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  alignedSize = depth;</div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  alignmentPattern = AllAligned;</div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  }</div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span> </div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  Index offset1 = (FirstAligned && alignmentStep==1?3:1);</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  Index offset3 = (FirstAligned && alignmentStep==1?1:3);</div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span> </div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  Index rowBound = ((rows-skipRows)/rowsAtOnce)*rowsAtOnce + skipRows;</div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keywordflow">for</span> (Index i=skipRows; i<rowBound; i+=rowsAtOnce)</div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  {</div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  EIGEN_ALIGN16 ResScalar tmp0 = ResScalar(0);</div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  ResScalar tmp1 = ResScalar(0), tmp2 = ResScalar(0), tmp3 = ResScalar(0);</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="comment">// this helps the compiler generating good binary code</span></div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keyword">const</span> LhsScalar *lhs0 = lhs + i*lhsStride, *lhs1 = lhs + (i+offset1)*lhsStride,</div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  *lhs2 = lhs + (i+2)*lhsStride, *lhs3 = lhs + (i+offset3)*lhsStride;</div>
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span> </div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keywordflow">if</span> (Vectorizable)</div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  {</div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="comment">/* explicit vectorization */</span></div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  ResPacket ptmp0 = pset1<ResPacket>(ResScalar(0)), ptmp1 = pset1<ResPacket>(ResScalar(0)),</div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  ptmp2 = pset1<ResPacket>(ResScalar(0)), ptmp3 = pset1<ResPacket>(ResScalar(0));</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">// process initial unaligned coeffs</span></div>
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="comment">// FIXME this loop get vectorized by the compiler !</span></div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="keywordflow">for</span> (Index j=0; j<alignedStart; ++j)</div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  {</div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  RhsScalar b = rhs[j];</div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  tmp0 += cj.pmul(lhs0[j],b); tmp1 += cj.pmul(lhs1[j],b);</div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  tmp2 += cj.pmul(lhs2[j],b); tmp3 += cj.pmul(lhs3[j],b);</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> </div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keywordflow">if</span> (alignedSize>alignedStart)</div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  {</div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="keywordflow">switch</span>(alignmentPattern)</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>  <span class="keywordflow">case</span> AllAligned:</div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordflow">for</span> (Index j = alignedStart; j<alignedSize; j+=RhsPacketSize)</div>
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  _EIGEN_ACCUMULATE_PACKETS(d,d,d);</div>
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keywordflow">case</span> EvenAligned:</div>
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="keywordflow">for</span> (Index j = alignedStart; j<alignedSize; j+=RhsPacketSize)</div>
<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  _EIGEN_ACCUMULATE_PACKETS(d,du,d);</div>
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="keywordflow">case</span> FirstAligned:</div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  {</div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  Index j = alignedStart;</div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keywordflow">if</span> (peels>1)</div>
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  {</div>
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="comment">/* Here we proccess 4 rows with with two peeled iterations to hide</span></div>
<div class="line"><a name="l00461"></a><span class="lineno"> 461</span> <span class="comment"> * the overhead of unaligned loads. Moreover unaligned loads are handled</span></div>
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span> <span class="comment"> * using special shift/move operations between the two aligned packets</span></div>
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span> <span class="comment"> * overlaping the desired unaligned packet. This is *much* more efficient</span></div>
<div class="line"><a name="l00464"></a><span class="lineno"> 464</span> <span class="comment"> * than basic unaligned loads.</span></div>
<div class="line"><a name="l00465"></a><span class="lineno"> 465</span> <span class="comment"> */</span></div>
<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  LhsPacket A01, A02, A03, A11, A12, A13;</div>
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  A01 = pload<LhsPacket>(&lhs1[alignedStart-1]);</div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  A02 = pload<LhsPacket>(&lhs2[alignedStart-2]);</div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  A03 = pload<LhsPacket>(&lhs3[alignedStart-3]);</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>  <span class="keywordflow">for</span> (; j<peeledSize; j+=peels*RhsPacketSize)</div>
<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  {</div>
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  RhsPacket b = pload<RhsPacket>(&rhs[j]);</div>
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  A11 = pload<LhsPacket>(&lhs1[j-1+LhsPacketSize]); palign<1>(A01,A11);</div>
<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  A12 = pload<LhsPacket>(&lhs2[j-2+LhsPacketSize]); palign<2>(A02,A12);</div>
<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  A13 = pload<LhsPacket>(&lhs3[j-3+LhsPacketSize]); palign<3>(A03,A13);</div>
<div class="line"><a name="l00477"></a><span class="lineno"> 477</span> </div>
<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  ptmp0 = pcj.pmadd(pload<LhsPacket>(&lhs0[j]), b, ptmp0);</div>
<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  ptmp1 = pcj.pmadd(A01, b, ptmp1);</div>
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  A01 = pload<LhsPacket>(&lhs1[j-1+2*LhsPacketSize]); palign<1>(A11,A01);</div>
<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  ptmp2 = pcj.pmadd(A02, b, ptmp2);</div>
<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  A02 = pload<LhsPacket>(&lhs2[j-2+2*LhsPacketSize]); palign<2>(A12,A02);</div>
<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  ptmp3 = pcj.pmadd(A03, b, ptmp3);</div>
<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  A03 = pload<LhsPacket>(&lhs3[j-3+2*LhsPacketSize]); palign<3>(A13,A03);</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>  b = pload<RhsPacket>(&rhs[j+RhsPacketSize]);</div>
<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  ptmp0 = pcj.pmadd(pload<LhsPacket>(&lhs0[j+LhsPacketSize]), b, ptmp0);</div>
<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  ptmp1 = pcj.pmadd(A11, b, ptmp1);</div>
<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  ptmp2 = pcj.pmadd(A12, b, ptmp2);</div>
<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  ptmp3 = pcj.pmadd(A13, b, ptmp3);</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>  }</div>
<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="keywordflow">for</span> (; j<alignedSize; j+=RhsPacketSize)</div>
<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  _EIGEN_ACCUMULATE_PACKETS(d,du,du);</div>
<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="keywordflow">break</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>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="keywordflow">for</span> (Index j = alignedStart; j<alignedSize; j+=RhsPacketSize)</div>
<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  _EIGEN_ACCUMULATE_PACKETS(du,du,du);</div>
<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="keywordflow">break</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>  tmp0 += predux(ptmp0);</div>
<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  tmp1 += predux(ptmp1);</div>
<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  tmp2 += predux(ptmp2);</div>
<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  tmp3 += predux(ptmp3);</div>
<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  }</div>
<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  } <span class="comment">// end explicit vectorization</span></div>
<div class="line"><a name="l00508"></a><span class="lineno"> 508</span> </div>
<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <span class="comment">// process remaining coeffs (or all if no explicit vectorization)</span></div>
<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="comment">// FIXME this loop get vectorized by the compiler !</span></div>
<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keywordflow">for</span> (Index j=alignedSize; j<depth; ++j)</div>
<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  {</div>
<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  RhsScalar b = rhs[j];</div>
<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  tmp0 += cj.pmul(lhs0[j],b); tmp1 += cj.pmul(lhs1[j],b);</div>
<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  tmp2 += cj.pmul(lhs2[j],b); tmp3 += cj.pmul(lhs3[j],b);</div>
<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  }</div>
<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  res[i*resIncr] += alpha*tmp0;</div>
<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  res[(i+offset1)*resIncr] += alpha*tmp1;</div>
<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  res[(i+2)*resIncr] += alpha*tmp2;</div>
<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  res[(i+offset3)*resIncr] += alpha*tmp3;</div>
<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  }</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="comment">// process remaining first and last rows (at most columnsAtOnce-1)</span></div>
<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  Index end = rows;</div>
<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  Index start = rowBound;</div>
<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keywordflow">do</span></div>
<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  {</div>
<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <span class="keywordflow">for</span> (Index i=start; i<end; ++i)</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_ALIGN16 ResScalar tmp0 = ResScalar(0);</div>
<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  ResPacket ptmp0 = pset1<ResPacket>(tmp0);</div>
<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keyword">const</span> LhsScalar* lhs0 = lhs + i*lhsStride;</div>
<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="comment">// process first unaligned result's coeffs</span></div>
<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="comment">// FIXME this loop get vectorized by the compiler !</span></div>
<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="keywordflow">for</span> (Index j=0; j<alignedStart; ++j)</div>
<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  tmp0 += cj.pmul(lhs0[j], rhs[j]);</div>
<div class="line"><a name="l00537"></a><span class="lineno"> 537</span> </div>
<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <span class="keywordflow">if</span> (alignedSize>alignedStart)</div>
<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  {</div>
<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <span class="comment">// process aligned rhs coeffs</span></div>
<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <span class="keywordflow">if</span> ((<span class="keywordtype">size_t</span>(lhs0+alignedStart)%<span class="keyword">sizeof</span>(LhsPacket))==0)</div>
<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keywordflow">for</span> (Index j = alignedStart;j<alignedSize;j+=RhsPacketSize)</div>
<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  ptmp0 = pcj.pmadd(pload<LhsPacket>(&lhs0[j]), pload<RhsPacket>(&rhs[j]), ptmp0);</div>
<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <span class="keywordflow">for</span> (Index j = alignedStart;j<alignedSize;j+=RhsPacketSize)</div>
<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  ptmp0 = pcj.pmadd(ploadu<LhsPacket>(&lhs0[j]), pload<RhsPacket>(&rhs[j]), ptmp0);</div>
<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  tmp0 += predux(ptmp0);</div>
<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  }</div>
<div class="line"><a name="l00549"></a><span class="lineno"> 549</span> </div>
<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="comment">// process remaining scalars</span></div>
<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="comment">// FIXME this loop get vectorized by the compiler !</span></div>
<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keywordflow">for</span> (Index j=alignedSize; j<depth; ++j)</div>
<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  tmp0 += cj.pmul(lhs0[j], rhs[j]);</div>
<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  res[i*resIncr] += alpha*tmp0;</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="keywordflow">if</span> (skipRows)</div>
<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  {</div>
<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  start = 0;</div>
<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  end = skipRows;</div>
<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  skipRows = 0;</div>
<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  }</div>
<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  } <span class="keywordflow">while</span>(Vectorizable);</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="preprocessor"> #undef _EIGEN_ACCUMULATE_PACKETS</span></div>
<div class="line"><a name="l00567"></a><span class="lineno"> 567</span> <span class="preprocessor"></span>}</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">// end namespace internal</span></div>
<div class="line"><a name="l00570"></a><span class="lineno"> 570</span> </div>
<div class="line"><a name="l00571"></a><span class="lineno"> 571</span> } <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00572"></a><span class="lineno"> 572</span> </div>
<div class="line"><a name="l00573"></a><span class="lineno"> 573</span> <span class="preprocessor">#endif // EIGEN_GENERAL_MATRIX_VECTOR_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>
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