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<div class="title">SelfadjointMatrixVector_MKL.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">/*</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> Copyright (c) 2011, Intel Corporation. All rights reserved.</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"> Redistribution and use in source and binary forms, with or without modification,</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> are permitted provided that the following conditions are met:</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"> * Redistributions of source code must retain the above copyright notice, this</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> list of conditions and the following disclaimer.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * Redistributions in binary form must reproduce the above copyright notice,</span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> this list of conditions and the following disclaimer in the documentation</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> and/or other materials provided with the distribution.</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> * Neither the name of Intel Corporation nor the names of its contributors may</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> be used to endorse or promote products derived from this software without</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> specific prior written permission.</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"></span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED</span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;</span></div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON</span></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT</span></div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment"> (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS</span></div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment"> SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment"></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"> * Content : Eigen bindings to Intel(R) MKL</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment"> * Selfadjoint matrix-vector product functionality based on ?SYMV/HEMV.</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment"> ********************************************************************************</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment">*/</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#ifndef EIGEN_SELFADJOINT_MATRIX_VECTOR_MKL_H</span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor"></span><span class="preprocessor">#define EIGEN_SELFADJOINT_MATRIX_VECTOR_MKL_H</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">namespace </span>Eigen { </div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment">/**********************************************************************</span></div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="comment">* This file implements selfadjoint matrix-vector multiplication using BLAS</span></div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="comment">**********************************************************************/</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> <span class="comment">// symv/hemv specialization</span></div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> Index, <span class="keywordtype">int</span> StorageOrder, <span class="keywordtype">int</span> UpLo, <span class="keywordtype">bool</span> ConjugateLhs, <span class="keywordtype">bool</span> ConjugateRhs></div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">struct </span>selfadjoint_matrix_vector_product_symv :</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,BuiltIn> {};</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="preprocessor">#define EIGEN_MKL_SYMV_SPECIALIZE(Scalar) \</span></div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="preprocessor">template<typename Index, int StorageOrder, int UpLo, bool ConjugateLhs, bool ConjugateRhs> \</span></div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="preprocessor">struct selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Specialized> { \</span></div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="preprocessor">static void run( \</span></div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="preprocessor"> Index size, const Scalar* lhs, Index lhsStride, \</span></div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="preprocessor"> const Scalar* _rhs, Index rhsIncr, Scalar* res, Scalar alpha) { \</span></div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="preprocessor"> enum {\</span></div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="preprocessor"> IsColMajor = StorageOrder==ColMajor \</span></div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="preprocessor"> }; \</span></div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="preprocessor"> if (IsColMajor == ConjugateLhs) {\</span></div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="preprocessor"> selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,BuiltIn>::run( \</span></div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="preprocessor"> size, lhs, lhsStride, _rhs, rhsIncr, res, alpha); \</span></div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="preprocessor"> } else {\</span></div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="preprocessor"> selfadjoint_matrix_vector_product_symv<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs>::run( \</span></div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="preprocessor"> size, lhs, lhsStride, _rhs, rhsIncr, res, alpha); \</span></div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="preprocessor"> }\</span></div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="preprocessor"> } \</span></div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="preprocessor">}; \</span></div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="preprocessor"></span>EIGEN_MKL_SYMV_SPECIALIZE(<span class="keywordtype">double</span>)</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span> EIGEN_MKL_SYMV_SPECIALIZE(<span class="keywordtype">float</span>)</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span> EIGEN_MKL_SYMV_SPECIALIZE(dcomplex)</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> EIGEN_MKL_SYMV_SPECIALIZE(scomplex)</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> <span class="preprocessor">#define EIGEN_MKL_SYMV_SPECIALIZATION(EIGTYPE,MKLTYPE,MKLFUNC) \</span></div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="preprocessor">template<typename Index, int StorageOrder, int UpLo, bool ConjugateLhs, bool ConjugateRhs> \</span></div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="preprocessor">struct selfadjoint_matrix_vector_product_symv<EIGTYPE,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs> \</span></div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="preprocessor">{ \</span></div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="preprocessor">typedef Matrix<EIGTYPE,Dynamic,1,ColMajor> SYMVVector;\</span></div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="preprocessor">\</span></div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="preprocessor">static void run( \</span></div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="preprocessor">Index size, const EIGTYPE* lhs, Index lhsStride, \</span></div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="preprocessor">const EIGTYPE* _rhs, Index rhsIncr, EIGTYPE* res, EIGTYPE alpha) \</span></div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="preprocessor">{ \</span></div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="preprocessor"> enum {\</span></div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="preprocessor"> IsRowMajor = StorageOrder==RowMajor ? 1 : 0, \</span></div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="preprocessor"> IsLower = UpLo == Lower ? 1 : 0 \</span></div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="preprocessor"> }; \</span></div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="preprocessor"> MKL_INT n=size, lda=lhsStride, incx=rhsIncr, incy=1; \</span></div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="preprocessor"> MKLTYPE alpha_, beta_; \</span></div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="preprocessor"> const EIGTYPE *x_ptr, myone(1); \</span></div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="preprocessor"> char uplo=(IsRowMajor) ? (IsLower ? 'U' : 'L') : (IsLower ? 'L' : 'U'); \</span></div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="preprocessor"> assign_scalar_eig2mkl(alpha_, alpha); \</span></div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="preprocessor"> assign_scalar_eig2mkl(beta_, myone); \</span></div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="preprocessor"> SYMVVector x_tmp; \</span></div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="preprocessor"> if (ConjugateRhs) { \</span></div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="preprocessor"> Map<const SYMVVector, 0, InnerStride<> > map_x(_rhs,size,1,InnerStride<>(incx)); \</span></div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="preprocessor"> x_tmp=map_x.conjugate(); \</span></div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="preprocessor"> x_ptr=x_tmp.data(); \</span></div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="preprocessor"> incx=1; \</span></div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="preprocessor"> } else x_ptr=_rhs; \</span></div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="preprocessor"> MKLFUNC(&uplo, &n, &alpha_, (const MKLTYPE*)lhs, &lda, (const MKLTYPE*)x_ptr, &incx, &beta_, (MKLTYPE*)res, &incy); \</span></div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="preprocessor">}\</span></div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="preprocessor">};</span></div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span> EIGEN_MKL_SYMV_SPECIALIZATION(<span class="keywordtype">double</span>, <span class="keywordtype">double</span>, dsymv)</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span> EIGEN_MKL_SYMV_SPECIALIZATION(<span class="keywordtype">float</span>, <span class="keywordtype">float</span>, ssymv)</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span> EIGEN_MKL_SYMV_SPECIALIZATION(dcomplex, MKL_Complex16, zhemv)</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span> EIGEN_MKL_SYMV_SPECIALIZATION(scomplex, MKL_Complex8, chemv)</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="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="preprocessor">#endif // EIGEN_SELFADJOINT_MATRIX_VECTOR_MKL_H</span></div>
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