template <typename DstXprType, typename SrcXprNested, typename Plain> \
struct Assignment<DstXprType, \
CwiseBinaryOp<scalar_##EIGENOP##_op<EIGENTYPE, EIGENTYPE>, SrcXprNested, \
const CwiseNullaryOp<internal::scalar_constant_op<EIGENTYPE>, Plain>>, \
assign_op<EIGENTYPE, EIGENTYPE>, Dense2Dense, \
std::enable_if_t<vml_assign_traits<DstXprType, SrcXprNested>::EnableVml>> { \
typedef CwiseBinaryOp<scalar_##EIGENOP##_op<EIGENTYPE, EIGENTYPE>, SrcXprNested, \
const CwiseNullaryOp<internal::scalar_constant_op<EIGENTYPE>, Plain>> \
SrcXprType; \
static
void run(DstXprType &dst,
const SrcXprType &src,
const assign_op<EIGENTYPE, EIGENTYPE> &
func) { \
resize_if_allowed(dst, src,
func); \
eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols()); \
VMLTYPE exponent = reinterpret_cast<const VMLTYPE &>(src.rhs().functor().m_other); \
if (vml_assign_traits<DstXprType, SrcXprNested>::Traversal ==
LinearTraversal) { \
VMLOP(dst.size(), (const VMLTYPE *)src.lhs().data(), exponent, \
} else { \
const
Index outerSize = dst.outerSize(); \
for (
Index outer = 0; outer < outerSize; ++outer) { \
const EIGENTYPE *src_ptr = \
src.IsRowMajor ? &(src.lhs().coeffRef(outer, 0)) : &(src.lhs().coeffRef(0, outer)); \
EIGENTYPE *dst_ptr = dst.IsRowMajor ? &(dst.coeffRef(outer, 0)) : &(dst.coeffRef(0, outer)); \
VMLOP(dst.innerSize(), (const VMLTYPE *)src_ptr, exponent, \
} \
} \
} \
};
#define EIGEN_PP_EXPAND(ARG)
Definition: Assign_MKL.h:70
@ LinearTraversal
Definition: Constants.h:281
EIGEN_DEFAULT_DENSE_INDEX_TYPE Index
The Index type as used for the API.
Definition: Meta.h:83
Definition: benchGeometry.cpp:21
void run(const string &dir_name, LinearSolver *linear_solver_pt, const unsigned nel_1d, bool mess_up_order)
Definition: two_d_poisson_compare_solvers.cc:317