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<div class="title">GeneralMatrixMatrix.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_MATRIX_H</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor"></span><span class="preprocessor">#define EIGEN_GENERAL_MATRIX_MATRIX_H</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">namespace </span>Eigen { </div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">template</span><<span class="keyword">typename</span> _LhsScalar, <span class="keyword">typename</span> _RhsScalar> <span class="keyword">class </span>level3_blocking;</div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment">/* Specialization for a row-major destination matrix => simple transposition of the product */</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="keyword">template</span><</div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keyword">typename</span> Index,</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keyword">typename</span> LhsScalar, <span class="keywordtype">int</span> LhsStorageOrder, <span class="keywordtype">bool</span> ConjugateLhs,</div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keyword">typename</span> RhsScalar, <span class="keywordtype">int</span> RhsStorageOrder, <span class="keywordtype">bool</span> ConjugateRhs></div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="keyword">struct </span>general_matrix_matrix_product<Index,LhsScalar,LhsStorageOrder,ConjugateLhs,RhsScalar,RhsStorageOrder,ConjugateRhs,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>></div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> {</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> scalar_product_traits<LhsScalar, RhsScalar>::ReturnType ResScalar;</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keyword">static</span> EIGEN_STRONG_INLINE <span class="keywordtype">void</span> run(</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  Index rows, Index cols, Index depth,</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keyword">const</span> LhsScalar* lhs, Index lhsStride,</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keyword">const</span> RhsScalar* rhs, Index rhsStride,</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  ResScalar* res, Index resStride,</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  ResScalar alpha,</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  level3_blocking<RhsScalar,LhsScalar>& blocking,</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  GemmParallelInfo<Index>* info = 0)</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  {</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="comment">// transpose the product such that the result is column major</span></div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  general_matrix_matrix_product<Index,</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  RhsScalar, RhsStorageOrder==<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a> ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a> : <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>, ConjugateRhs,</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  LhsScalar, LhsStorageOrder==<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a> ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a> : <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>, ConjugateLhs,</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>></div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  ::run(cols,rows,depth,rhs,rhsStride,lhs,lhsStride,res,resStride,alpha,blocking,info);</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> };</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment">/* Specialization for a col-major destination matrix</span></div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment"> * => Blocking algorithm following Goto's paper */</span></div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">template</span><</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">typename</span> Index,</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">typename</span> LhsScalar, <span class="keywordtype">int</span> LhsStorageOrder, <span class="keywordtype">bool</span> ConjugateLhs,</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keyword">typename</span> RhsScalar, <span class="keywordtype">int</span> RhsStorageOrder, <span class="keywordtype">bool</span> ConjugateRhs></div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="keyword">struct </span>general_matrix_matrix_product<Index,LhsScalar,LhsStorageOrder,ConjugateLhs,RhsScalar,RhsStorageOrder,ConjugateRhs,<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>></div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> {</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="keyword">typedef</span> <span class="keyword">typename</span> scalar_product_traits<LhsScalar, RhsScalar>::ReturnType ResScalar;</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="keyword">static</span> <span class="keywordtype">void</span> run(Index rows, Index cols, Index depth,</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">const</span> LhsScalar* _lhs, Index lhsStride,</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keyword">const</span> RhsScalar* _rhs, Index rhsStride,</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  ResScalar* res, Index resStride,</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  ResScalar alpha,</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  level3_blocking<LhsScalar,RhsScalar>& blocking,</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  GemmParallelInfo<Index>* info = 0)</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span> {</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  const_blas_data_mapper<LhsScalar, Index, LhsStorageOrder> lhs(_lhs,lhsStride);</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  const_blas_data_mapper<RhsScalar, Index, RhsStorageOrder> rhs(_rhs,rhsStride);</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">typedef</span> gebp_traits<LhsScalar,RhsScalar> Traits;</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  Index kc = blocking.kc(); <span class="comment">// cache block size along the K direction</span></div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  Index mc = (std::min)(rows,blocking.mc()); <span class="comment">// cache block size along the M direction</span></div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="comment">//Index nc = blocking.nc(); // cache block size along the N direction</span></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>  gemm_pack_lhs<LhsScalar, Index, Traits::mr, Traits::LhsProgress, LhsStorageOrder> pack_lhs;</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  gemm_pack_rhs<RhsScalar, Index, Traits::nr, RhsStorageOrder> pack_rhs;</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  gebp_kernel<LhsScalar, RhsScalar, Index, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="preprocessor">#ifdef EIGEN_HAS_OPENMP</span></div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="preprocessor"></span> <span class="keywordflow">if</span>(info)</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  {</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="comment">// this is the parallel version!</span></div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  Index tid = omp_get_thread_num();</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  Index threads = omp_get_num_threads();</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  </div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  std::size_t sizeA = kc*mc;</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  std::size_t sizeW = kc*Traits::WorkSpaceFactor;</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  ei_declare_aligned_stack_constructed_variable(LhsScalar, blockA, sizeA, 0);</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  ei_declare_aligned_stack_constructed_variable(RhsScalar, w, sizeW, 0);</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  </div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  RhsScalar* blockB = blocking.blockB();</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  eigen_internal_assert(blockB!=0);</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="comment">// For each horizontal panel of the rhs, and corresponding vertical panel of the lhs...</span></div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordflow">for</span>(Index k=0; k<depth; k+=kc)</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  {</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keyword">const</span> Index actual_kc = (std::min)(k+kc,depth)-k; <span class="comment">// => rows of B', and cols of the A'</span></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">// In order to reduce the chance that a thread has to wait for the other,</span></div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="comment">// let's start by packing A'.</span></div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  pack_lhs(blockA, &lhs(0,k), lhsStride, actual_kc, mc);</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="comment">// Pack B_k to B' in a parallel fashion:</span></div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="comment">// each thread packs the sub block B_k,j to B'_j where j is the thread id.</span></div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="comment">// However, before copying to B'_j, we have to make sure that no other thread is still using it,</span></div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="comment">// i.e., we test that info[tid].users equals 0.</span></div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="comment">// Then, we set info[tid].users to the number of threads to mark that all other threads are going to use it.</span></div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">while</span>(info[tid].users!=0) {}</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  info[tid].users += threads;</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>  pack_rhs(blockB+info[tid].rhs_start*actual_kc, &rhs(k,info[tid].rhs_start), rhsStride, actual_kc, info[tid].rhs_length);</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="comment">// Notify the other threads that the part B'_j is ready to go.</span></div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  info[tid].sync = k;</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="comment">// Computes C_i += A' * B' per B'_j</span></div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">for</span>(Index shift=0; shift<threads; ++shift)</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>  Index j = (tid+shift)%threads;</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="comment">// At this point we have to make sure that B'_j has been updated by the thread j,</span></div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="comment">// we use testAndSetOrdered to mimic a volatile access.</span></div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="comment">// However, no need to wait for the B' part which has been updated by the current thread!</span></div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordflow">if</span>(shift>0)</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">while</span>(info[j].sync!=k) {}</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>  gebp(res+info[j].rhs_start*resStride, resStride, blockA, blockB+info[j].rhs_start*actual_kc, mc, actual_kc, info[j].rhs_length, alpha, -1,-1,0,0, w);</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  }</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="comment">// Then keep going as usual with the remaining A'</span></div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">for</span>(Index i=mc; i<rows; i+=mc)</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  {</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keyword">const</span> Index actual_mc = (std::min)(i+mc,rows)-i;</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="comment">// pack A_i,k to A'</span></div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  pack_lhs(blockA, &lhs(i,k), lhsStride, actual_kc, actual_mc);</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>  <span class="comment">// C_i += A' * B'</span></div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  gebp(res+i, resStride, blockA, blockB, actual_mc, actual_kc, cols, alpha, -1,-1,0,0, w);</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>  <span class="comment">// Release all the sub blocks B'_j of B' for the current thread,</span></div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="comment">// i.e., we simply decrement the number of users by 1</span></div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordflow">for</span>(Index j=0; j<threads; ++j)</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  #pragma omp atomic</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  --(info[j].users);</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="keywordflow">else</span></div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span> <span class="preprocessor">#endif // EIGEN_HAS_OPENMP</span></div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span> <span class="preprocessor"></span> {</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  EIGEN_UNUSED_VARIABLE(info);</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="comment">// this is the sequential version!</span></div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  std::size_t sizeA = kc*mc;</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  std::size_t sizeB = kc*cols;</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  std::size_t sizeW = kc*Traits::WorkSpaceFactor;</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  ei_declare_aligned_stack_constructed_variable(LhsScalar, blockA, sizeA, blocking.blockA());</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  ei_declare_aligned_stack_constructed_variable(RhsScalar, blockB, sizeB, blocking.blockB());</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  ei_declare_aligned_stack_constructed_variable(RhsScalar, blockW, sizeW, blocking.blockW());</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span> </div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="comment">// For each horizontal panel of the rhs, and corresponding panel of the lhs...</span></div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="comment">// (==GEMM_VAR1)</span></div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keywordflow">for</span>(Index k2=0; k2<depth; k2+=kc)</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  {</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keyword">const</span> Index actual_kc = (std::min)(k2+kc,depth)-k2;</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="comment">// OK, here we have selected one horizontal panel of rhs and one vertical panel of lhs.</span></div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="comment">// => Pack rhs's panel into a sequential chunk of memory (L2 caching)</span></div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="comment">// Note that this panel will be read as many times as the number of blocks in the lhs's</span></div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="comment">// vertical panel which is, in practice, a very low number.</span></div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  pack_rhs(blockB, &rhs(k2,0), rhsStride, actual_kc, cols);</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>  <span class="comment">// For each mc x kc block of the lhs's vertical panel...</span></div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="comment">// (==GEPP_VAR1)</span></div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordflow">for</span>(Index i2=0; i2<rows; i2+=mc)</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  {</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keyword">const</span> Index actual_mc = (std::min)(i2+mc,rows)-i2;</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="comment">// We pack the lhs's block into a sequential chunk of memory (L1 caching)</span></div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="comment">// Note that this block will be read a very high number of times, which is equal to the number of</span></div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="comment">// micro vertical panel of the large rhs's panel (e.g., cols/4 times).</span></div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  pack_lhs(blockA, &lhs(i2,k2), lhsStride, actual_kc, actual_mc);</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="comment">// Everything is packed, we can now call the block * panel kernel:</span></div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  gebp(res+i2, resStride, blockA, blockB, actual_mc, actual_kc, cols, alpha, -1, -1, 0, 0, blockW);</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  }</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  }</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  }</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span> }</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span> </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">/*********************************************************************************</span></div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span> <span class="comment">* Specialization of GeneralProduct<> for "large" GEMM, i.e.,</span></div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span> <span class="comment">* implementation of the high level wrapper to general_matrix_matrix_product</span></div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span> <span class="comment">**********************************************************************************/</span></div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span> <span class="keyword">struct </span>traits<GeneralProduct<Lhs,Rhs,GemmProduct> ></div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  : traits<ProductBase<GeneralProduct<Lhs,Rhs,GemmProduct>, Lhs, Rhs> ></div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span> {};</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span> </div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index, <span class="keyword">typename</span> Gemm, <span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Dest, <span class="keyword">typename</span> BlockingType></div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="keyword">struct </span>gemm_functor</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>  gemm_functor(<span class="keyword">const</span> Lhs& lhs, <span class="keyword">const</span> Rhs& rhs, Dest& dest, <span class="keyword">const</span> Scalar& actualAlpha,</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  BlockingType& blocking)</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  : m_lhs(lhs), m_rhs(rhs), m_dest(dest), m_actualAlpha(actualAlpha), m_blocking(blocking)</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  {}</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keywordtype">void</span> initParallelSession()<span class="keyword"> const</span></div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  m_blocking.allocateB();</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  }</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordtype">void</span> operator() (Index row, Index rows, Index col=0, Index cols=-1, GemmParallelInfo<Index>* info=0)<span class="keyword"> const</span></div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordflow">if</span>(cols==-1)</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  cols = m_rhs.cols();</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  Gemm::run(rows, cols, m_lhs.cols(),</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="comment">/*(const Scalar*)*/</span>&m_lhs.coeffRef(row,0), m_lhs.outerStride(),</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="comment">/*(const Scalar*)*/</span>&m_rhs.coeffRef(0,col), m_rhs.outerStride(),</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.outerStride(),</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  m_actualAlpha, m_blocking, info);</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> </div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keyword">const</span> Lhs& m_lhs;</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keyword">const</span> Rhs& m_rhs;</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  Dest& m_dest;</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  Scalar m_actualAlpha;</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  BlockingType& m_blocking;</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</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> <span class="keyword">template</span><<span class="keywordtype">int</span> StorageOrder, <span class="keyword">typename</span> LhsScalar, <span class="keyword">typename</span> RhsScalar, <span class="keywordtype">int</span> MaxRows, <span class="keywordtype">int</span> MaxCols, <span class="keywordtype">int</span> MaxDepth, <span class="keywordtype">int</span> KcFactor=1,</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span> <span class="keywordtype">bool</span> FiniteAtCompileTime = MaxRows!=<a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a> && MaxCols!=<a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a> && MaxDepth != <a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a>> <span class="keyword">class </span>gemm_blocking_space;</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="keyword">template</span><<span class="keyword">typename</span> _LhsScalar, <span class="keyword">typename</span> _RhsScalar></div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span> <span class="keyword">class </span>level3_blocking</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>  <span class="keyword">typedef</span> _LhsScalar LhsScalar;</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keyword">typedef</span> _RhsScalar RhsScalar;</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  LhsScalar* m_blockA;</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  RhsScalar* m_blockB;</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  RhsScalar* m_blockW;</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span> </div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  DenseIndex m_mc;</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  DenseIndex m_nc;</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  DenseIndex m_kc;</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span> </div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keyword">public</span>:</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>  level3_blocking()</div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  : m_blockA(0), m_blockB(0), m_blockW(0), m_mc(0), m_nc(0), m_kc(0)</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> </div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keyword">inline</span> DenseIndex mc()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_mc; }</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keyword">inline</span> DenseIndex nc()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_nc; }</div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keyword">inline</span> DenseIndex kc()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_kc; }</div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span> </div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keyword">inline</span> LhsScalar* blockA() { <span class="keywordflow">return</span> m_blockA; }</div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keyword">inline</span> RhsScalar* blockB() { <span class="keywordflow">return</span> m_blockB; }</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keyword">inline</span> RhsScalar* blockW() { <span class="keywordflow">return</span> m_blockW; }</div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span> };</div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span> </div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span> <span class="keyword">template</span><<span class="keywordtype">int</span> StorageOrder, <span class="keyword">typename</span> _LhsScalar, <span class="keyword">typename</span> _RhsScalar, <span class="keywordtype">int</span> MaxRows, <span class="keywordtype">int</span> MaxCols, <span class="keywordtype">int</span> MaxDepth, <span class="keywordtype">int</span> KcFactor></div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span> <span class="keyword">class </span>gemm_blocking_space<StorageOrder,_LhsScalar,_RhsScalar,MaxRows, MaxCols, MaxDepth, KcFactor, true></div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  : <span class="keyword">public</span> level3_blocking<</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  typename conditional<StorageOrder==RowMajor,_RhsScalar,_LhsScalar>::type,</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  typename conditional<StorageOrder==RowMajor,_LhsScalar,_RhsScalar>::type></div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span> {</div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  Transpose = StorageOrder==<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a>,</div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  ActualRows = Transpose ? MaxCols : MaxRows,</div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  ActualCols = Transpose ? MaxRows : MaxCols</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>  <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Transpose,_RhsScalar,_LhsScalar>::type LhsScalar;</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Transpose,_LhsScalar,_RhsScalar>::type RhsScalar;</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keyword">typedef</span> gebp_traits<LhsScalar,RhsScalar> Traits;</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  SizeA = ActualRows * MaxDepth,</div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  SizeB = ActualCols * MaxDepth,</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  SizeW = MaxDepth * Traits::WorkSpaceFactor</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> </div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  EIGEN_ALIGN16 LhsScalar m_staticA[SizeA];</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  EIGEN_ALIGN16 RhsScalar m_staticB[SizeB];</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  EIGEN_ALIGN16 RhsScalar m_staticW[SizeW];</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span> </div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span> </div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  gemm_blocking_space(DenseIndex <span class="comment">/*rows*/</span>, DenseIndex <span class="comment">/*cols*/</span>, DenseIndex <span class="comment">/*depth*/</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>  this->m_mc = ActualRows;</div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  this->m_nc = ActualCols;</div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  this->m_kc = MaxDepth;</div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  this->m_blockA = m_staticA;</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  this->m_blockB = m_staticB;</div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  this->m_blockW = m_staticW;</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  }</div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span> </div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> allocateA() {}</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> allocateB() {}</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> allocateW() {}</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> allocateAll() {}</div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span> };</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span> </div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span> <span class="keyword">template</span><<span class="keywordtype">int</span> StorageOrder, <span class="keyword">typename</span> _LhsScalar, <span class="keyword">typename</span> _RhsScalar, <span class="keywordtype">int</span> MaxRows, <span class="keywordtype">int</span> MaxCols, <span class="keywordtype">int</span> MaxDepth, <span class="keywordtype">int</span> KcFactor></div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span> <span class="keyword">class </span>gemm_blocking_space<StorageOrder,_LhsScalar,_RhsScalar,MaxRows, MaxCols, MaxDepth, KcFactor, false></div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  : <span class="keyword">public</span> level3_blocking<</div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  typename conditional<StorageOrder==RowMajor,_RhsScalar,_LhsScalar>::type,</div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  typename conditional<StorageOrder==RowMajor,_LhsScalar,_RhsScalar>::type></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">enum</span> {</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  Transpose = StorageOrder==<a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a></div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  };</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Transpose,_RhsScalar,_LhsScalar>::type LhsScalar;</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> conditional<Transpose,_LhsScalar,_RhsScalar>::type RhsScalar;</div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keyword">typedef</span> gebp_traits<LhsScalar,RhsScalar> Traits;</div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span> </div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  DenseIndex m_sizeA;</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  DenseIndex m_sizeB;</div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  DenseIndex m_sizeW;</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">public</span>:</div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span> </div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  gemm_blocking_space(DenseIndex rows, DenseIndex cols, DenseIndex depth)</div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  {</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  this->m_mc = Transpose ? cols : rows;</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  this->m_nc = Transpose ? rows : cols;</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  this->m_kc = depth;</div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span> </div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  computeProductBlockingSizes<LhsScalar,RhsScalar,KcFactor>(this->m_kc, this->m_mc, this->m_nc);</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  m_sizeA = this->m_mc * this->m_kc;</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  m_sizeB = this->m_kc * this->m_nc;</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  m_sizeW = this->m_kc*Traits::WorkSpaceFactor;</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> </div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keywordtype">void</span> allocateA()</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>  <span class="keywordflow">if</span>(this->m_blockA==0)</div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  this->m_blockA = aligned_new<LhsScalar>(m_sizeA);</div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  }</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span> </div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keywordtype">void</span> allocateB()</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  {</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordflow">if</span>(this->m_blockB==0)</div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  this->m_blockB = aligned_new<RhsScalar>(m_sizeB);</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>  <span class="keywordtype">void</span> allocateW()</div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  {</div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">if</span>(this->m_blockW==0)</div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  this->m_blockW = aligned_new<RhsScalar>(m_sizeW);</div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  }</div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span> </div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="keywordtype">void</span> allocateAll()</div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  {</div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  allocateA();</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  allocateB();</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  allocateW();</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  }</div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span> </div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  ~gemm_blocking_space()</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>  aligned_delete(this->m_blockA, m_sizeA);</div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  aligned_delete(this->m_blockB, m_sizeB);</div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  aligned_delete(this->m_blockW, m_sizeW);</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> };</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> } <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span> <span class="keyword">template</span><<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs></div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span> <span class="keyword">class </span>GeneralProduct<Lhs, Rhs, GemmProduct></div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  : <span class="keyword">public</span> ProductBase<GeneralProduct<Lhs,Rhs,GemmProduct>, Lhs, Rhs></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>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  MaxDepthAtCompileTime = EIGEN_SIZE_MIN_PREFER_FIXED(Lhs::MaxColsAtCompileTime,Rhs::MaxRowsAtCompileTime)</div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  };</div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  EIGEN_PRODUCT_PUBLIC_INTERFACE(GeneralProduct)</div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  </div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  typedef typename Lhs::Scalar LhsScalar;</div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  typedef typename Rhs::Scalar RhsScalar;</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  typedef Scalar ResScalar;</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>  GeneralProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs)</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="keyword">typedef</span> internal::scalar_product_op<LhsScalar,RhsScalar> BinOp;</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  EIGEN_CHECK_BINARY_COMPATIBILIY(BinOp,LhsScalar,RhsScalar);</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  }</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="keyword">template</span><<span class="keyword">typename</span> Dest> <span class="keywordtype">void</span> scaleAndAddTo(Dest& dst, <span class="keyword">const</span> Scalar& alpha)<span class="keyword"> const</span></div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  eigen_assert(dst.rows()==m_lhs.rows() && dst.cols()==m_rhs.cols());</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">typename</span> internal::add_const_on_value_type<ActualLhsType>::type lhs = LhsBlasTraits::extract(m_lhs);</div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keyword">typename</span> internal::add_const_on_value_type<ActualRhsType>::type rhs = RhsBlasTraits::extract(m_rhs);</div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span> </div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  Scalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(m_lhs)</div>
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  * RhsBlasTraits::extractScalarFactor(m_rhs);</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>  <span class="keyword">typedef</span> internal::gemm_blocking_space<(Dest::Flags&<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>) ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a> : <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcdac86184b0e3be936fbfd20249a057a0bf">ColMajor</a>,LhsScalar,RhsScalar,</div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  Dest::MaxRowsAtCompileTime,Dest::MaxColsAtCompileTime,MaxDepthAtCompileTime> BlockingType;</div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span> </div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keyword">typedef</span> internal::gemm_functor<</div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  Scalar, Index,</div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  internal::general_matrix_matrix_product<</div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  Index,</div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  LhsScalar, (_ActualLhsType::Flags&<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>) ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a> : ColMajor, <span class="keywordtype">bool</span>(LhsBlasTraits::NeedToConjugate),</div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  RhsScalar, (_ActualRhsType::Flags&<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>) ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a> : ColMajor, <span class="keywordtype">bool</span>(RhsBlasTraits::NeedToConjugate),</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  (Dest::Flags&<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>) ? <a class="code" href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">RowMajor</a> : ColMajor>,</div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  _ActualLhsType, _ActualRhsType, Dest, BlockingType> GemmFunctor;</div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span> </div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  BlockingType blocking(dst.rows(), dst.cols(), lhs.cols());</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>  internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==<a class="code" href="namespaceEigen.html#adc9da5be31bdce40c25a92c27999c0e3">Dynamic</a>)>(GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), this->rows(), this->cols(), Dest::Flags&<a class="code" href="group__flags.html#ga7bd49e7b260e869e10fb9dc4fd081a85">RowMajorBit</a>);</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> </div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span> } <span class="comment">// end namespace Eigen</span></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="preprocessor">#endif // EIGEN_GENERAL_MATRIX_MATRIX_H</span></div>
<div class="ttc" id="group__enums_html_gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044"><div class="ttname"><a href="group__enums.html#gga0c5bde183ecefe103f70b49ad9740bcda1e16fa1b92ed7a058cd4ce7a9a0db044">Eigen::RowMajor</a></div><div class="ttdef"><b>Definition:</b> Constants.h:266</div></div>
<div class="ttc" id="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__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_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>
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