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<div class="title">CoeffBasedProduct.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) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com></span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment">// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr></span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment">//</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment">// This Source Code Form is subject to the terms of the Mozilla</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</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="l00009"></a><span class="lineno"> 9</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="l00010"></a><span class="lineno"> 10</span> </div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#ifndef EIGEN_COEFFBASED_PRODUCT_H</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor"></span><span class="preprocessor">#define EIGEN_COEFFBASED_PRODUCT_H</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="keyword">namespace </span>Eigen { </div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment">/*********************************************************************************</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment">* Coefficient based product implementation.</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment">* It is designed for the following use cases:</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment">* - small fixed sizes</span></div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment">* - lazy products</span></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment">*********************************************************************************/</span></div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment">/* Since the all the dimensions of the product are small, here we can rely</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment"> * on the generic Assign mechanism to evaluate the product per coeff (or packet).</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment"> *</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment"> * Note that here the inner-loops should always be unrolled.</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> </div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">template</span><<span class="keywordtype">int</span> Traversal, <span class="keywordtype">int</span> UnrollingIndex, <span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> RetScalar></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">struct </span>product_coeff_impl;</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">template</span><<span class="keywordtype">int</span> StorageOrder, <span class="keywordtype">int</span> UnrollingIndex, <span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Packet, <span class="keywordtype">int</span> LoadMode></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">struct </span>product_packet_impl;</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="keyword">template</span><<span class="keyword">typename</span> LhsNested, <span class="keyword">typename</span> RhsNested, <span class="keywordtype">int</span> NestingFlags></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">struct </span>traits<CoeffBasedProduct<LhsNested,RhsNested,NestingFlags> ></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> {</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keyword">typedef</span> MatrixXpr XprKind;</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> remove_all<LhsNested>::type _LhsNested;</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> remove_all<RhsNested>::type _RhsNested;</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> scalar_product_traits<typename _LhsNested::Scalar, typename _RhsNested::Scalar>::ReturnType Scalar;</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> promote_storage_type<typename traits<_LhsNested>::StorageKind,</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">typename</span> traits<_RhsNested>::StorageKind>::ret StorageKind;</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> promote_index_type<typename traits<_LhsNested>::Index,</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">typename</span> traits<_RhsNested>::Index>::type Index;</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  LhsCoeffReadCost = _LhsNested::CoeffReadCost,</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  RhsCoeffReadCost = _RhsNested::CoeffReadCost,</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  LhsFlags = _LhsNested::Flags,</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  RhsFlags = _RhsNested::Flags,</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>  RowsAtCompileTime = _LhsNested::RowsAtCompileTime,</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  ColsAtCompileTime = _RhsNested::ColsAtCompileTime,</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(_LhsNested::ColsAtCompileTime, _RhsNested::RowsAtCompileTime),</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  MaxRowsAtCompileTime = _LhsNested::MaxRowsAtCompileTime,</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  MaxColsAtCompileTime = _RhsNested::MaxColsAtCompileTime,</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>  LhsRowMajor = LhsFlags & <a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>,</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  RhsRowMajor = RhsFlags & <a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>,</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>  SameType = is_same<typename _LhsNested::Scalar,typename _RhsNested::Scalar>::value,</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  CanVectorizeRhs = RhsRowMajor && (RhsFlags & <a class="code" href="group__flags.html#gaa780614dc11271c147db56e9c1524e76">PacketAccessBit</a>)</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  && (ColsAtCompileTime == <a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a></div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  || ( (ColsAtCompileTime % packet_traits<Scalar>::size) == 0</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  && (RhsFlags&<a class="code" href="group__flags.html#ga972a2dcb6603215fa53e0b9e82051426">AlignedBit</a>)</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</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>  CanVectorizeLhs = (!LhsRowMajor) && (LhsFlags & <a class="code" href="group__flags.html#gaa780614dc11271c147db56e9c1524e76">PacketAccessBit</a>)</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  && (RowsAtCompileTime == <a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a></div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  || ( (RowsAtCompileTime % packet_traits<Scalar>::size) == 0</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  && (LhsFlags&<a class="code" href="group__flags.html#ga972a2dcb6603215fa53e0b9e82051426">AlignedBit</a>)</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>  ),</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  EvalToRowMajor = (MaxRowsAtCompileTime==1&&MaxColsAtCompileTime!=1) ? 1</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  : (MaxColsAtCompileTime==1&&MaxRowsAtCompileTime!=1) ? 0</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  : (RhsRowMajor && !CanVectorizeLhs),</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  Flags = ((<span class="keywordtype">unsigned</span> int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit)</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  | (EvalToRowMajor ? RowMajorBit : 0)</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  | NestingFlags</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  | (LhsFlags & RhsFlags & <a class="code" href="group__flags.html#ga972a2dcb6603215fa53e0b9e82051426">AlignedBit</a>)</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="comment">// TODO enable vectorization for mixed types</span></div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  | (SameType && (CanVectorizeLhs || CanVectorizeRhs) ? <a class="code" href="group__flags.html#gaa780614dc11271c147db56e9c1524e76">PacketAccessBit</a> : 0),</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>  CoeffReadCost = InnerSize == <a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a> ? <a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a></div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  : InnerSize * (NumTraits<Scalar>::MulCost + LhsCoeffReadCost + RhsCoeffReadCost)</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  + (InnerSize - 1) * NumTraits<Scalar>::AddCost,</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>  <span class="comment">/* CanVectorizeInner deserves special explanation. It does not affect the product flags. It is not used outside</span></div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="comment"> * of Product. If the Product itself is not a packet-access expression, there is still a chance that the inner</span></div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="comment"> * loop of the product might be vectorized. This is the meaning of CanVectorizeInner. Since it doesn't affect</span></div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="comment"> * the Flags, it is safe to make this value depend on ActualPacketAccessBit, that doesn't affect the ABI.</span></div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment"> */</span></div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  CanVectorizeInner = SameType</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  && LhsRowMajor</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  && (!RhsRowMajor)</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  && (LhsFlags & RhsFlags & <a class="code" href="group__flags.html#gaafbee24aed0aa204db61f7fce3334329">ActualPacketAccessBit</a>)</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  && (LhsFlags & RhsFlags & <a class="code" href="group__flags.html#ga972a2dcb6603215fa53e0b9e82051426">AlignedBit</a>)</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  && (InnerSize % packet_traits<Scalar>::size == 0)</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  };</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span> };</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">// end namespace internal</span></div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsNested, <span class="keyword">typename</span> RhsNested, <span class="keywordtype">int</span> NestingFlags></div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="keyword">class </span>CoeffBasedProduct</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  : internal::no_assignment_operator,</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keyword">public</span> MatrixBase<CoeffBasedProduct<LhsNested, RhsNested, NestingFlags> ></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>  <span class="keyword">public</span>:</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="keyword">typedef</span> MatrixBase<CoeffBasedProduct> Base;</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  EIGEN_DENSE_PUBLIC_INTERFACE(CoeffBasedProduct)</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  typedef typename Base::PlainObject PlainObject;</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>  private:</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>  typedef typename internal::traits<CoeffBasedProduct>::_LhsNested _LhsNested;</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  typedef typename internal::traits<CoeffBasedProduct>::_RhsNested _RhsNested;</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  enum {</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  PacketSize = internal::packet_traits<Scalar>::size,</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  InnerSize = internal::traits<CoeffBasedProduct>::InnerSize,</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  Unroll = CoeffReadCost != <a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a> && CoeffReadCost <= EIGEN_UNROLLING_LIMIT,</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  CanVectorizeInner = internal::traits<CoeffBasedProduct>::CanVectorizeInner</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> </div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keyword">typedef</span> internal::product_coeff_impl<CanVectorizeInner ? InnerVectorizedTraversal : DefaultTraversal,</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  Unroll ? InnerSize-1 : <a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a>,</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  _LhsNested, _RhsNested, Scalar> ScalarCoeffImpl;</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>  <span class="keyword">typedef</span> CoeffBasedProduct<LhsNested,RhsNested,NestByRefBit> LazyCoeffBasedProductType;</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span> </div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keyword">inline</span> CoeffBasedProduct(<span class="keyword">const</span> CoeffBasedProduct& other)</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  : Base(), m_lhs(other.m_lhs), m_rhs(other.m_rhs)</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  {}</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>  <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keyword">inline</span> CoeffBasedProduct(<span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs)</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  : m_lhs(lhs), m_rhs(rhs)</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>  <span class="comment">// we don't allow taking products of matrices of different real types, as that wouldn't be vectorizable.</span></div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="comment">// We still allow to mix T and complex<T>.</span></div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  EIGEN_STATIC_ASSERT((internal::scalar_product_traits<typename Lhs::RealScalar, typename Rhs::RealScalar>::Defined),</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  eigen_assert(lhs.cols() == rhs.rows()</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  && "invalid matrix product"</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  && "if you wanted a coeff-wise or a dot product use the respective explicit functions");</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  }</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  EIGEN_STRONG_INLINE Index rows()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_lhs.rows(); }</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  EIGEN_STRONG_INLINE Index cols()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_rhs.cols(); }</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>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar coeff(Index row, Index col)<span class="keyword"> const</span></div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  Scalar res;</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  ScalarCoeffImpl::run(row, col, m_lhs, m_rhs, res);</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">return</span> res;</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> </div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="comment">/* Allow index-based non-packet access. It is impossible though to allow index-based packed access,</span></div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="comment"> * which is why we don't set the LinearAccessBit.</span></div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="comment"> */</span></div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar coeff(Index index)<span class="keyword"> const</span></div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  Scalar res;</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">const</span> Index row = RowsAtCompileTime == 1 ? 0 : index;</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keyword">const</span> Index col = RowsAtCompileTime == 1 ? index : 0;</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  ScalarCoeffImpl::run(row, col, m_lhs, m_rhs, res);</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keywordflow">return</span> res;</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> </div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keyword">template</span><<span class="keywordtype">int</span> LoadMode></div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> PacketScalar packet(Index row, Index col)<span class="keyword"> const</span></div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  PacketScalar res;</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  internal::product_packet_impl<Flags&RowMajorBit ? <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="l00187"></a><span class="lineno"> 187</span>  Unroll ? InnerSize-1 : <a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a>,</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  _LhsNested, _RhsNested, PacketScalar, LoadMode></div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  ::run(row, col, m_lhs, m_rhs, res);</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keywordflow">return</span> res;</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>  <span class="comment">// Implicit conversion to the nested type (trigger the evaluation of the product)</span></div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  EIGEN_STRONG_INLINE <span class="keyword">operator</span> <span class="keyword">const</span> PlainObject& () <span class="keyword">const</span></div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  {</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  m_result.lazyAssign(*<span class="keyword">this</span>);</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordflow">return</span> m_result;</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> </div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keyword">const</span> _LhsNested& lhs()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_lhs; }</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keyword">const</span> _RhsNested& rhs()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_rhs; }</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">const</span> Diagonal<const LazyCoeffBasedProductType,0> diagonal()<span class="keyword"> const</span></div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>LazyCoeffBasedProductType&<span class="keyword">></span>(*this); }</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keyword">template</span><<span class="keywordtype">int</span> DiagonalIndex></div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keyword">const</span> Diagonal<const LazyCoeffBasedProductType,DiagonalIndex> diagonal()<span class="keyword"> const</span></div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>LazyCoeffBasedProductType&<span class="keyword">></span>(*this); }</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keyword">const</span> Diagonal<const LazyCoeffBasedProductType,Dynamic> diagonal(Index index)<span class="keyword"> const</span></div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>LazyCoeffBasedProductType&<span class="keyword">></span>(*this).diagonal(index); }</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keyword">typename</span> internal::add_const_on_value_type<LhsNested>::type m_lhs;</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keyword">typename</span> internal::add_const_on_value_type<RhsNested>::type m_rhs;</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span> </div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keyword">mutable</span> PlainObject m_result;</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span> };</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span> <span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span> </div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span> <span class="comment">// here we need to overload the nested rule for products</span></div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span> <span class="comment">// such that the nested type is a const reference to a plain matrix</span></div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> N, <span class="keyword">typename</span> PlainObject></div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span> <span class="keyword">struct </span>nested<CoeffBasedProduct<Lhs,Rhs,<a class="code" href="group__flags.html#gaf8ad6e2956f7368b8e3f7407e2319e63">EvalBeforeNestingBit</a>|<a class="code" href="group__flags.html#gadc8925e67a5a54bd479d6f587112e19a">EvalBeforeAssigningBit</a>>, N, PlainObject></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="keyword">typedef</span> PlainObject <span class="keyword">const</span>& type;</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span> };</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span> </div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span> <span class="comment">/***************************************************************************</span></div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span> <span class="comment">* Normal product .coeff() implementation (with meta-unrolling)</span></div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span> <span class="comment">***************************************************************************/</span></div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span> </div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span> <span class="comment">/**************************************</span></div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span> <span class="comment">*** Scalar path - no vectorization ***</span></div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span> <span class="comment">**************************************/</span></div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span> </div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span> <span class="keyword">template</span><<span class="keywordtype">int</span> UnrollingIndex, <span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> RetScalar></div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span> <span class="keyword">struct </span>product_coeff_impl<DefaultTraversal, UnrollingIndex, Lhs, Rhs, RetScalar></div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span> {</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(Index row, Index col, <span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, RetScalar &res)</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  {</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  product_coeff_impl<DefaultTraversal, UnrollingIndex-1, Lhs, Rhs, RetScalar>::run(row, col, lhs, rhs, res);</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  res += lhs.coeff(row, UnrollingIndex) * rhs.coeff(UnrollingIndex, col);</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="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> RetScalar></div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span> <span class="keyword">struct </span>product_coeff_impl<DefaultTraversal, 0, Lhs, Rhs, RetScalar></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>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(Index row, Index col, <span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, RetScalar &res)</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>  res = lhs.coeff(row, 0) * rhs.coeff(0, col);</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> };</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="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> RetScalar></div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span> <span class="keyword">struct </span>product_coeff_impl<DefaultTraversal, <a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a>, Lhs, Rhs, RetScalar></div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span> {</div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(Index row, Index col, <span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, RetScalar& res)</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  {</div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  eigen_assert(lhs.cols()>0 && <span class="stringliteral">"you are using a non initialized matrix"</span>);</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  res = lhs.coeff(row, 0) * rhs.coeff(0, col);</div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">for</span>(Index i = 1; i < lhs.cols(); ++i)</div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  res += lhs.coeff(row, i) * rhs.coeff(i, col);</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> };</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span> </div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span> <span class="comment">/*******************************************</span></div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span> <span class="comment">*** Scalar path with inner vectorization ***</span></div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span> <span class="comment">*******************************************/</span></div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span> </div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span> <span class="keyword">template</span><<span class="keywordtype">int</span> UnrollingIndex, <span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Packet></div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span> <span class="keyword">struct </span>product_coeff_vectorized_unroller</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="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keyword">enum</span> { PacketSize = packet_traits<typename Lhs::Scalar>::size };</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(Index row, Index col, <span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, <span class="keyword">typename</span> Lhs::PacketScalar &pres)</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  {</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  product_coeff_vectorized_unroller<UnrollingIndex-PacketSize, Lhs, Rhs, Packet>::run(row, col, lhs, rhs, pres);</div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  pres = padd(pres, pmul( lhs.template packet<Aligned>(row, UnrollingIndex) , rhs.template packet<Aligned>(UnrollingIndex, col) ));</div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  }</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span> };</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span> </div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Packet></div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span> <span class="keyword">struct </span>product_coeff_vectorized_unroller<0, Lhs, Rhs, Packet></div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span> {</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(Index row, Index col, <span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, <span class="keyword">typename</span> Lhs::PacketScalar &pres)</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>  pres = pmul(lhs.template packet<Aligned>(row, 0) , rhs.template packet<Aligned>(0, col));</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  }</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span> };</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span> </div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span> <span class="keyword">template</span><<span class="keywordtype">int</span> UnrollingIndex, <span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> RetScalar></div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span> <span class="keyword">struct </span>product_coeff_impl<InnerVectorizedTraversal, UnrollingIndex, Lhs, Rhs, RetScalar></div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span> {</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::PacketScalar Packet;</div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keyword">enum</span> { PacketSize = packet_traits<typename Lhs::Scalar>::size };</div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(Index row, Index col, <span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, RetScalar &res)</div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  {</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  Packet pres;</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  product_coeff_vectorized_unroller<UnrollingIndex+1-PacketSize, Lhs, Rhs, Packet>::run(row, col, lhs, rhs, pres);</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  product_coeff_impl<DefaultTraversal,UnrollingIndex,Lhs,Rhs,RetScalar>::run(row, col, lhs, rhs, res);</div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  res = predux(pres);</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> };</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">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> LhsRows = Lhs::RowsAtCompileTime, <span class="keywordtype">int</span> RhsCols = Rhs::ColsAtCompileTime></div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span> <span class="keyword">struct </span>product_coeff_vectorized_dyn_selector</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="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(Index row, Index col, <span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, <span class="keyword">typename</span> Lhs::Scalar &res)</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  {</div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  res = lhs.row(row).transpose().cwiseProduct(rhs.col(col)).sum();</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> };</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="comment">// NOTE the 3 following specializations are because taking .col(0) on a vector is a bit slower</span></div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span> <span class="comment">// NOTE maybe they are now useless since we have a specialization for Block<Matrix></span></div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> RhsCols></div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span> <span class="keyword">struct </span>product_coeff_vectorized_dyn_selector<Lhs,Rhs,1,RhsCols></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>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(Index <span class="comment">/*row*/</span>, Index col, <span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, <span class="keyword">typename</span> Lhs::Scalar &res)</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>  res = lhs.transpose().cwiseProduct(rhs.col(col)).sum();</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  }</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span> };</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span> </div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keywordtype">int</span> LhsRows></div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span> <span class="keyword">struct </span>product_coeff_vectorized_dyn_selector<Lhs,Rhs,LhsRows,1></div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span> {</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(Index row, Index <span class="comment">/*col*/</span>, <span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, <span class="keyword">typename</span> Lhs::Scalar &res)</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>  res = lhs.row(row).transpose().cwiseProduct(rhs).sum();</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> };</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">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span> <span class="keyword">struct </span>product_coeff_vectorized_dyn_selector<Lhs,Rhs,1,1></div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span> {</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(Index <span class="comment">/*row*/</span>, Index <span class="comment">/*col*/</span>, <span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, <span class="keyword">typename</span> Lhs::Scalar &res)</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  {</div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  res = lhs.transpose().cwiseProduct(rhs).sum();</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> };</div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span> </div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> RetScalar></div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span> <span class="keyword">struct </span>product_coeff_impl<InnerVectorizedTraversal, <a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a>, Lhs, Rhs, RetScalar></div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span> {</div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(Index row, Index col, <span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, <span class="keyword">typename</span> Lhs::Scalar &res)</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>  product_coeff_vectorized_dyn_selector<Lhs,Rhs>::run(row, col, lhs, rhs, res);</div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  }</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span> };</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span> </div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span> <span class="comment">/*******************</span></div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span> <span class="comment">*** Packet path ***</span></div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span> <span class="comment">*******************/</span></div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span> </div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span> <span class="keyword">template</span><<span class="keywordtype">int</span> UnrollingIndex, <span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Packet, <span class="keywordtype">int</span> LoadMode></div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span> <span class="keyword">struct </span>product_packet_impl<<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>, UnrollingIndex, Lhs, Rhs, Packet, LoadMode></div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span> {</div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(Index row, Index col, <span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, Packet &res)</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>  product_packet_impl<RowMajor, UnrollingIndex-1, Lhs, Rhs, Packet, LoadMode>::run(row, col, lhs, rhs, res);</div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  res = pmadd(pset1<Packet>(lhs.coeff(row, UnrollingIndex)), rhs.template packet<LoadMode>(UnrollingIndex, col), res);</div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  }</div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span> };</div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span> </div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span> <span class="keyword">template</span><<span class="keywordtype">int</span> UnrollingIndex, <span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Packet, <span class="keywordtype">int</span> LoadMode></div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span> <span class="keyword">struct </span>product_packet_impl<<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>, UnrollingIndex, Lhs, Rhs, Packet, LoadMode></div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span> {</div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(Index row, Index col, <span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, Packet &res)</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>  product_packet_impl<ColMajor, UnrollingIndex-1, Lhs, Rhs, Packet, LoadMode>::run(row, col, lhs, rhs, res);</div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  res = pmadd(lhs.template packet<LoadMode>(row, UnrollingIndex), pset1<Packet>(rhs.coeff(UnrollingIndex, col)), res);</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="keyword">typename</span> Rhs, <span class="keyword">typename</span> Packet, <span class="keywordtype">int</span> LoadMode></div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span> <span class="keyword">struct </span>product_packet_impl<<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>, 0, Lhs, Rhs, Packet, LoadMode></div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span> {</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(Index row, Index col, <span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, Packet &res)</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>  res = pmul(pset1<Packet>(lhs.coeff(row, 0)),rhs.template packet<LoadMode>(0, col));</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> };</div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span> </div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Packet, <span class="keywordtype">int</span> LoadMode></div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span> <span class="keyword">struct </span>product_packet_impl<<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>, 0, Lhs, Rhs, Packet, LoadMode></div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span> {</div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(Index row, Index col, <span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, Packet &res)</div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  {</div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  res = pmul(lhs.template packet<LoadMode>(row, 0), pset1<Packet>(rhs.coeff(0, col)));</div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  }</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> </div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Packet, <span class="keywordtype">int</span> LoadMode></div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span> <span class="keyword">struct </span>product_packet_impl<<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>, <a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a>, Lhs, Rhs, Packet, LoadMode></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>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(Index row, Index col, <span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, Packet& res)</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  {</div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  eigen_assert(lhs.cols()>0 && <span class="stringliteral">"you are using a non initialized matrix"</span>);</div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  res = pmul(pset1<Packet>(lhs.coeff(row, 0)),rhs.template packet<LoadMode>(0, col));</div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keywordflow">for</span>(Index i = 1; i < lhs.cols(); ++i)</div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  res = pmadd(pset1<Packet>(lhs.coeff(row, i)), rhs.template packet<LoadMode>(i, col), res);</div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  }</div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span> };</div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span> </div>
<div class="line"><a name="l00424"></a><span class="lineno"> 424</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Packet, <span class="keywordtype">int</span> LoadMode></div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span> <span class="keyword">struct </span>product_packet_impl<<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>, <a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a>, Lhs, Rhs, Packet, LoadMode></div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span> {</div>
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Lhs::Index Index;</div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(Index row, Index col, <span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, Packet& res)</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>  eigen_assert(lhs.cols()>0 && <span class="stringliteral">"you are using a non initialized matrix"</span>);</div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  res = pmul(lhs.template packet<LoadMode>(row, 0), pset1<Packet>(rhs.coeff(0, col)));</div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="keywordflow">for</span>(Index i = 1; i < lhs.cols(); ++i)</div>
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  res = pmadd(lhs.template packet<LoadMode>(row, i), pset1<Packet>(rhs.coeff(i, col)), res);</div>
<div class="line"><a name="l00434"></a><span class="lineno"> 434</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> </div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span> } <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span> </div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span> } <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span> </div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span> <span class="preprocessor">#endif // EIGEN_COEFFBASED_PRODUCT_H</span></div>
<div class="ttc" id="group__flags_html_gaf8ad6e2956f7368b8e3f7407e2319e63"><div class="ttname"><a href="group__flags.html#gaf8ad6e2956f7368b8e3f7407e2319e63">Eigen::EvalBeforeNestingBit</a></div><div class="ttdeci">const unsigned int EvalBeforeNestingBit</div><div class="ttdef"><b>Definition:</b> Constants.h:58</div></div>
<div class="ttc" id="group__enums_html_gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044"><div class="ttname"><a href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">Eigen::RowMajor</a></div><div class="ttdef"><b>Definition:</b> Constants.h:266</div></div>
<div class="ttc" id="namespaceEigen_html_adc9da5be31bdce40c25a92c27999c0e3"><div class="ttname"><a href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Eigen::Dynamic</a></div><div class="ttdeci">const int Dynamic</div><div class="ttdef"><b>Definition:</b> Constants.h:21</div></div>
<div class="ttc" id="group__flags_html_gaa780614dc11271c147db56e9c1524e76"><div class="ttname"><a href="group__flags.html#gaa780614dc11271c147db56e9c1524e76">Eigen::PacketAccessBit</a></div><div class="ttdeci">const unsigned int PacketAccessBit</div><div class="ttdef"><b>Definition:</b> Constants.h:81</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__flags_html_gaafbee24aed0aa204db61f7fce3334329"><div class="ttname"><a href="group__flags.html#gaafbee24aed0aa204db61f7fce3334329">Eigen::ActualPacketAccessBit</a></div><div class="ttdeci">const unsigned int ActualPacketAccessBit</div><div class="ttdef"><b>Definition:</b> Constants.h:92</div></div>
<div class="ttc" id="group__flags_html_gadc8925e67a5a54bd479d6f587112e19a"><div class="ttname"><a href="group__flags.html#gadc8925e67a5a54bd479d6f587112e19a">Eigen::EvalBeforeAssigningBit</a></div><div class="ttdeci">const unsigned int EvalBeforeAssigningBit</div><div class="ttdef"><b>Definition:</b> Constants.h:63</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 class="ttc" id="group__flags_html_ga972a2dcb6603215fa53e0b9e82051426"><div class="ttname"><a href="group__flags.html#ga972a2dcb6603215fa53e0b9e82051426">Eigen::AlignedBit</a></div><div class="ttdeci">const unsigned int AlignedBit</div><div class="ttdef"><b>Definition:</b> Constants.h:147</div></div>
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