GeneralMatrixMatrix_MKL.h
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27  ********************************************************************************
28  * Content : Eigen bindings to Intel(R) MKL
29  * General matrix-matrix product functionality based on ?GEMM.
30  ********************************************************************************
31 */
32 
33 #ifndef EIGEN_GENERAL_MATRIX_MATRIX_MKL_H
34 #define EIGEN_GENERAL_MATRIX_MATRIX_MKL_H
35 
36 namespace Eigen {
37 
38 namespace internal {
39 
40 /**********************************************************************
41 * This file implements general matrix-matrix multiplication using BLAS
42 * gemm function via partial specialization of
43 * general_matrix_matrix_product::run(..) method for float, double,
44 * std::complex<float> and std::complex<double> types
45 **********************************************************************/
46 
47 // gemm specialization
48 
49 #define GEMM_SPECIALIZATION(EIGTYPE, EIGPREFIX, MKLTYPE, MKLPREFIX) \
50 template< \
51  typename Index, \
52  int LhsStorageOrder, bool ConjugateLhs, \
53  int RhsStorageOrder, bool ConjugateRhs> \
54 struct general_matrix_matrix_product<Index,EIGTYPE,LhsStorageOrder,ConjugateLhs,EIGTYPE,RhsStorageOrder,ConjugateRhs,ColMajor> \
55 { \
56 static void run(Index rows, Index cols, Index depth, \
57  const EIGTYPE* _lhs, Index lhsStride, \
58  const EIGTYPE* _rhs, Index rhsStride, \
59  EIGTYPE* res, Index resStride, \
60  EIGTYPE alpha, \
61  level3_blocking<EIGTYPE, EIGTYPE>& /*blocking*/, \
62  GemmParallelInfo<Index>* /*info = 0*/) \
63 { \
64  using std::conj; \
65 \
66  char transa, transb; \
67  MKL_INT m, n, k, lda, ldb, ldc; \
68  const EIGTYPE *a, *b; \
69  MKLTYPE alpha_, beta_; \
70  MatrixX##EIGPREFIX a_tmp, b_tmp; \
71  EIGTYPE myone(1);\
72 \
73 /* Set transpose options */ \
74  transa = (LhsStorageOrder==RowMajor) ? ((ConjugateLhs) ? 'C' : 'T') : 'N'; \
75  transb = (RhsStorageOrder==RowMajor) ? ((ConjugateRhs) ? 'C' : 'T') : 'N'; \
76 \
77 /* Set m, n, k */ \
78  m = (MKL_INT)rows; \
79  n = (MKL_INT)cols; \
80  k = (MKL_INT)depth; \
81 \
82 /* Set alpha_ & beta_ */ \
83  assign_scalar_eig2mkl(alpha_, alpha); \
84  assign_scalar_eig2mkl(beta_, myone); \
85 \
86 /* Set lda, ldb, ldc */ \
87  lda = (MKL_INT)lhsStride; \
88  ldb = (MKL_INT)rhsStride; \
89  ldc = (MKL_INT)resStride; \
90 \
91 /* Set a, b, c */ \
92  if ((LhsStorageOrder==ColMajor) && (ConjugateLhs)) { \
93  Map<const MatrixX##EIGPREFIX, 0, OuterStride<> > lhs(_lhs,m,k,OuterStride<>(lhsStride)); \
94  a_tmp = lhs.conjugate(); \
95  a = a_tmp.data(); \
96  lda = a_tmp.outerStride(); \
97  } else a = _lhs; \
98 \
99  if ((RhsStorageOrder==ColMajor) && (ConjugateRhs)) { \
100  Map<const MatrixX##EIGPREFIX, 0, OuterStride<> > rhs(_rhs,k,n,OuterStride<>(rhsStride)); \
101  b_tmp = rhs.conjugate(); \
102  b = b_tmp.data(); \
103  ldb = b_tmp.outerStride(); \
104  } else b = _rhs; \
105 \
106  MKLPREFIX##gemm(&transa, &transb, &m, &n, &k, &alpha_, (const MKLTYPE*)a, &lda, (const MKLTYPE*)b, &ldb, &beta_, (MKLTYPE*)res, &ldc); \
107 }};
108 
109 GEMM_SPECIALIZATION(double, d, double, d)
110 GEMM_SPECIALIZATION(float, f, float, s)
111 GEMM_SPECIALIZATION(dcomplex, cd, MKL_Complex16, z)
112 GEMM_SPECIALIZATION(scomplex, cf, MKL_Complex8, c)
113 
114 } // end namespase internal
115 
116 } // end namespace Eigen
117 
118 #endif // EIGEN_GENERAL_MATRIX_MATRIX_MKL_H
iterative scaling algorithm to equilibrate rows and column norms in matrices
Definition: matrix.hpp:471
#define GEMM_SPECIALIZATION(EIGTYPE, EIGPREFIX, MKLTYPE, MKLPREFIX)


acado
Author(s): Milan Vukov, Rien Quirynen
autogenerated on Mon Jun 10 2019 12:34:38