TriangularMatrixVector_MKL.h

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 ********************************************************************************
 *   Content : Eigen bindings to Intel(R) MKL
 *   Triangular matrix-vector product functionality based on ?TRMV.
 ********************************************************************************
*/
 
#ifndef EIGEN_TRIANGULAR_MATRIX_VECTOR_MKL_H
#define EIGEN_TRIANGULAR_MATRIX_VECTOR_MKL_H
 
namespace Eigen { 
 
namespace internal {
 
/**********************************************************************
* This file implements triangular matrix-vector multiplication using BLAS
**********************************************************************/
 
// trmv/hemv specialization
 
template<typename Index, int Mode, typename LhsScalar, bool ConjLhs, typename RhsScalar, bool ConjRhs, int StorageOrder>
struct triangular_matrix_vector_product_trmv :
  triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,StorageOrder,BuiltIn> {};
 
#define EIGEN_MKL_TRMV_SPECIALIZE(Scalar) \
template<typename Index, int Mode, bool ConjLhs, bool ConjRhs> \
struct triangular_matrix_vector_product<Index,Mode,Scalar,ConjLhs,Scalar,ConjRhs,ColMajor,Specialized> { \
 static void run(Index _rows, Index _cols, const Scalar* _lhs, Index lhsStride, \
                                     const Scalar* _rhs, Index rhsIncr, Scalar* _res, Index resIncr, Scalar alpha) { \
      triangular_matrix_vector_product_trmv<Index,Mode,Scalar,ConjLhs,Scalar,ConjRhs,ColMajor>::run( \
        _rows, _cols, _lhs, lhsStride, _rhs, rhsIncr, _res, resIncr, alpha); \
  } \
}; \
template<typename Index, int Mode, bool ConjLhs, bool ConjRhs> \
struct triangular_matrix_vector_product<Index,Mode,Scalar,ConjLhs,Scalar,ConjRhs,RowMajor,Specialized> { \
 static void run(Index _rows, Index _cols, const Scalar* _lhs, Index lhsStride, \
                                     const Scalar* _rhs, Index rhsIncr, Scalar* _res, Index resIncr, Scalar alpha) { \
      triangular_matrix_vector_product_trmv<Index,Mode,Scalar,ConjLhs,Scalar,ConjRhs,RowMajor>::run( \
        _rows, _cols, _lhs, lhsStride, _rhs, rhsIncr, _res, resIncr, alpha); \
  } \
};
 
EIGEN_MKL_TRMV_SPECIALIZE(double)
EIGEN_MKL_TRMV_SPECIALIZE(float)
EIGEN_MKL_TRMV_SPECIALIZE(dcomplex)
EIGEN_MKL_TRMV_SPECIALIZE(scomplex)
 
// implements col-major: res += alpha * op(triangular) * vector
#define EIGEN_MKL_TRMV_CM(EIGTYPE, MKLTYPE, EIGPREFIX, MKLPREFIX) \
template<typename Index, int Mode, bool ConjLhs, bool ConjRhs> \
struct triangular_matrix_vector_product_trmv<Index,Mode,EIGTYPE,ConjLhs,EIGTYPE,ConjRhs,ColMajor> { \
  enum { \
    IsLower = (Mode&Lower) == Lower, \
    SetDiag = (Mode&(ZeroDiag|UnitDiag)) ? 0 : 1, \
    IsUnitDiag  = (Mode&UnitDiag) ? 1 : 0, \
    IsZeroDiag  = (Mode&ZeroDiag) ? 1 : 0, \
    LowUp = IsLower ? Lower : Upper \
  }; \
 static void run(Index _rows, Index _cols, const EIGTYPE* _lhs, Index lhsStride, \
                 const EIGTYPE* _rhs, Index rhsIncr, EIGTYPE* _res, Index resIncr, EIGTYPE alpha) \
 { \
   if (ConjLhs || IsZeroDiag) { \
     triangular_matrix_vector_product<Index,Mode,EIGTYPE,ConjLhs,EIGTYPE,ConjRhs,ColMajor,BuiltIn>::run( \
       _rows, _cols, _lhs, lhsStride, _rhs, rhsIncr, _res, resIncr, alpha); \
     return; \
   }\
   Index size = (std::min)(_rows,_cols); \
   Index rows = IsLower ? _rows : size; \
   Index cols = IsLower ? size : _cols; \
\
   typedef VectorX##EIGPREFIX VectorRhs; \
   EIGTYPE *x, *y;\
\
/* Set x*/ \
   Map<const VectorRhs, 0, InnerStride<> > rhs(_rhs,cols,InnerStride<>(rhsIncr)); \
   VectorRhs x_tmp; \
   if (ConjRhs) x_tmp = rhs.conjugate(); else x_tmp = rhs; \
   x = x_tmp.data(); \
\
/* Square part handling */\
\
   char trans, uplo, diag; \
   MKL_INT m, n, lda, incx, incy; \
   EIGTYPE const *a; \
   MKLTYPE alpha_, beta_; \
   assign_scalar_eig2mkl<MKLTYPE, EIGTYPE>(alpha_, alpha); \
   assign_scalar_eig2mkl<MKLTYPE, EIGTYPE>(beta_, EIGTYPE(1)); \
\
/* Set m, n */ \
   n = (MKL_INT)size; \
   lda = lhsStride; \
   incx = 1; \
   incy = resIncr; \
\
/* Set uplo, trans and diag*/ \
   trans = 'N'; \
   uplo = IsLower ? 'L' : 'U'; \
   diag = IsUnitDiag ? 'U' : 'N'; \
\
/* call ?TRMV*/ \
   MKLPREFIX##trmv(&uplo, &trans, &diag, &n, (const MKLTYPE*)_lhs, &lda, (MKLTYPE*)x, &incx); \
\
/* Add op(a_tr)rhs into res*/ \
   MKLPREFIX##axpy(&n, &alpha_,(const MKLTYPE*)x, &incx, (MKLTYPE*)_res, &incy); \
/* Non-square case - doesn't fit to MKL ?TRMV. Fall to default triangular product*/ \
   if (size<(std::max)(rows,cols)) { \
     if (ConjRhs) x_tmp = rhs.conjugate(); else x_tmp = rhs; \
     x = x_tmp.data(); \
     if (size<rows) { \
       y = _res + size*resIncr; \
       a = _lhs + size; \
       m = rows-size; \
       n = size; \
     } \
     else { \
       x += size; \
       y = _res; \
       a = _lhs + size*lda; \
       m = size; \
       n = cols-size; \
     } \
     MKLPREFIX##gemv(&trans, &m, &n, &alpha_, (const MKLTYPE*)a, &lda, (const MKLTYPE*)x, &incx, &beta_, (MKLTYPE*)y, &incy); \
   } \
  } \
};
 
EIGEN_MKL_TRMV_CM(double, double, d, d)
EIGEN_MKL_TRMV_CM(dcomplex, MKL_Complex16, cd, z)
EIGEN_MKL_TRMV_CM(float, float, f, s)
EIGEN_MKL_TRMV_CM(scomplex, MKL_Complex8, cf, c)
 
// implements row-major: res += alpha * op(triangular) * vector
#define EIGEN_MKL_TRMV_RM(EIGTYPE, MKLTYPE, EIGPREFIX, MKLPREFIX) \
template<typename Index, int Mode, bool ConjLhs, bool ConjRhs> \
struct triangular_matrix_vector_product_trmv<Index,Mode,EIGTYPE,ConjLhs,EIGTYPE,ConjRhs,RowMajor> { \
  enum { \
    IsLower = (Mode&Lower) == Lower, \
    SetDiag = (Mode&(ZeroDiag|UnitDiag)) ? 0 : 1, \
    IsUnitDiag  = (Mode&UnitDiag) ? 1 : 0, \
    IsZeroDiag  = (Mode&ZeroDiag) ? 1 : 0, \
    LowUp = IsLower ? Lower : Upper \
  }; \
 static void run(Index _rows, Index _cols, const EIGTYPE* _lhs, Index lhsStride, \
                 const EIGTYPE* _rhs, Index rhsIncr, EIGTYPE* _res, Index resIncr, EIGTYPE alpha) \
 { \
   if (IsZeroDiag) { \
     triangular_matrix_vector_product<Index,Mode,EIGTYPE,ConjLhs,EIGTYPE,ConjRhs,RowMajor,BuiltIn>::run( \
       _rows, _cols, _lhs, lhsStride, _rhs, rhsIncr, _res, resIncr, alpha); \
     return; \
   }\
   Index size = (std::min)(_rows,_cols); \
   Index rows = IsLower ? _rows : size; \
   Index cols = IsLower ? size : _cols; \
\
   typedef VectorX##EIGPREFIX VectorRhs; \
   EIGTYPE *x, *y;\
\
/* Set x*/ \
   Map<const VectorRhs, 0, InnerStride<> > rhs(_rhs,cols,InnerStride<>(rhsIncr)); \
   VectorRhs x_tmp; \
   if (ConjRhs) x_tmp = rhs.conjugate(); else x_tmp = rhs; \
   x = x_tmp.data(); \
\
/* Square part handling */\
\
   char trans, uplo, diag; \
   MKL_INT m, n, lda, incx, incy; \
   EIGTYPE const *a; \
   MKLTYPE alpha_, beta_; \
   assign_scalar_eig2mkl<MKLTYPE, EIGTYPE>(alpha_, alpha); \
   assign_scalar_eig2mkl<MKLTYPE, EIGTYPE>(beta_, EIGTYPE(1)); \
\
/* Set m, n */ \
   n = (MKL_INT)size; \
   lda = lhsStride; \
   incx = 1; \
   incy = resIncr; \
\
/* Set uplo, trans and diag*/ \
   trans = ConjLhs ? 'C' : 'T'; \
   uplo = IsLower ? 'U' : 'L'; \
   diag = IsUnitDiag ? 'U' : 'N'; \
\
/* call ?TRMV*/ \
   MKLPREFIX##trmv(&uplo, &trans, &diag, &n, (const MKLTYPE*)_lhs, &lda, (MKLTYPE*)x, &incx); \
\
/* Add op(a_tr)rhs into res*/ \
   MKLPREFIX##axpy(&n, &alpha_,(const MKLTYPE*)x, &incx, (MKLTYPE*)_res, &incy); \
/* Non-square case - doesn't fit to MKL ?TRMV. Fall to default triangular product*/ \
   if (size<(std::max)(rows,cols)) { \
     if (ConjRhs) x_tmp = rhs.conjugate(); else x_tmp = rhs; \
     x = x_tmp.data(); \
     if (size<rows) { \
       y = _res + size*resIncr; \
       a = _lhs + size*lda; \
       m = rows-size; \
       n = size; \
     } \
     else { \
       x += size; \
       y = _res; \
       a = _lhs + size; \
       m = size; \
       n = cols-size; \
     } \
     MKLPREFIX##gemv(&trans, &n, &m, &alpha_, (const MKLTYPE*)a, &lda, (const MKLTYPE*)x, &incx, &beta_, (MKLTYPE*)y, &incy); \
   } \
  } \
};
 
EIGEN_MKL_TRMV_RM(double, double, d, d)
EIGEN_MKL_TRMV_RM(dcomplex, MKL_Complex16, cd, z)
EIGEN_MKL_TRMV_RM(float, float, f, s)
EIGEN_MKL_TRMV_RM(scomplex, MKL_Complex8, cf, c)
 
} // end namespase internal
 
} // end namespace Eigen
 
#endif // EIGEN_TRIANGULAR_MATRIX_VECTOR_MKL_H