RESET_CMAKE_REQUIRED()
ENDIF()
-
-#
-# GCC 4.8 (and possibly older) have a regression that prevents our "trick"
-# to allow multiplication of Tensor objects with std::complex<T> and
-# scalars U with different types T and U from working. In this case a
-# specialization is needed. See also base/product_type_02.cc and
-# base/product_type_03.cc
-#
-# - Matthias Maier, 2015
-#
-
-IF( CMAKE_CXX_COMPILER_ID MATCHES "GNU" AND
- CMAKE_CXX_COMPILER_VERSION VERSION_LESS "4.9" )
- SET(DEAL_II_GCC_COMPLEX_CONV_BUG TRUE)
-ENDIF()
#cmakedefine DEAL_II_BIND_NO_CONST_OP_PARENTHESES
#cmakedefine DEAL_II_CONSTEXPR_BUG
#cmakedefine DEAL_II_ICC_SFINAE_BUG
-#cmakedefine DEAL_II_GCC_COMPLEX_CONV_BUG
/***********************************************************************
}
-#ifdef DEAL_II_GCC_COMPLEX_CONV_BUG
-template <int dim, typename Number, typename OtherNumber>
-inline
-Tensor<1,dim,typename ProductType<Number, typename EnableIfScalar<OtherNumber>::type>::type>
-operator * (const Tensor<1,dim,Number> &t,
- const OtherNumber factor)
-{
- typedef typename ProductType<Number,OtherNumber>::type product_type;
- Tensor<1,dim,product_type> tt;
- for (unsigned int d=0; d<dim; ++d)
- tt[d] = product_type(t[d]) * product_type(factor);
- return tt;
-}
-#endif
-
-
/**
* Multiplication of a tensor of general rank with a scalar number from the
* left.