type_data.h File Reference

Defines and implements TensorTypeData, a type traits class. More...

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Classes
struct	madness::IsSupported< TypeData, ReturnType, true >
struct	madness::TensorResultType< leftT, rightT >
	TensorResultType<L,R>::type is the type of (L op R) where op is nominally multiplication. More...
class	madness::TensorTypeFromId< id >
	This provides the reverse mapping from integer id to type name. More...

Namespaces
namespace	madness
	Namespace for all elements and tools of MADNESS.

Macros
#define	DPEC(L, R, T)
#define	SPEC(L, R, T)
#define	TENSOR_MAX_TYPE_ID   5
#define	TENSOR_RESULT_TYPE(L, R)
	This macro simplifies access to TensorResultType.
#define	TYPEINFO(num, T, iscmplx, mcpyok, realT, floatrealT)

Functions
	madness::DPEC (double, double, double)
	madness::DPEC (double_complex, double_complex, double_complex)
	madness::DPEC (float, float, float)
	madness::DPEC (float_complex, float_complex, float_complex)
	madness::DPEC (int, int, int)
	madness::DPEC (long, long, long)
	madness::SPEC (double, double_complex, double_complex)
	madness::SPEC (double, float_complex, float_complex)
	madness::SPEC (float, double, double)
	madness::SPEC (float, double_complex, double_complex)
	madness::SPEC (float, float_complex, float_complex)
	madness::SPEC (float_complex, double_complex, double_complex)
	madness::SPEC (int, double, double)
	madness::SPEC (int, double_complex, double_complex)
	madness::SPEC (int, float, float)
	madness::SPEC (int, float_complex, float_complex)
	madness::SPEC (int, long, long)
	madness::SPEC (long, double, double)
	madness::SPEC (long, double_complex, double_complex)
	madness::SPEC (long, float, float)
	madness::SPEC (long, float_complex, float_complex)
	madness::TYPEINFO (0, int, false, true, int, double)
	madness::TYPEINFO (1, long, false, true, long, double)
	madness::TYPEINFO (2, float, false, true, float, float)
	madness::TYPEINFO (3, double, false, true, double, double)
	madness::TYPEINFO (4, float_complex, true, true, float, float)
	madness::TYPEINFO (5, double_complex, true, true, double, double)

Variables
const char *	madness::tensor_type_names []

Detailed Description

Defines and implements TensorTypeData, a type traits class.

Macro Definition Documentation

DPEC

#define DPEC	(		L,
			R,
			T )

Value:

    template <> struct TensorResultType<L,L> {typedef T type;}

SPEC

#define SPEC	(		L,
			R,
			T )

Value:

    template <> struct TensorResultType<L,R> {typedef T type;}; \
    template <> struct TensorResultType<R,L> {typedef T type;}

TENSOR_MAX_TYPE_ID

#define TENSOR_MAX_TYPE_ID   5

Referenced by madness::TensorException::operator<<.

TENSOR_RESULT_TYPE

#define TENSOR_RESULT_TYPE	(		L,
			R )

Value:

typename TensorResultType<L,R>::type

This macro simplifies access to TensorResultType.

Referenced by madness::add(), madness::add(), madness::add(), madness::apply(), madness::apply(), madness::apply(), madness::apply(), madness::apply(), madness::SeparatedConvolution< double, 3 >::apply(), madness::SeparatedConvolution< double, 3 >::apply2(), madness::SeparatedConvolution< double, 3 >::apply2_lowdim(), madness::apply_1d_realspace_push(), madness::apply_only(), madness::binary_op(), madness::cross(), madness::FunctionImpl< T, LDIM >::do_dot_localX(), madness::FunctionImpl< T, LDIM >::do_inner_localX(), madness::FunctionImpl< T, LDIM >::dot_local(), madness::FunctionImpl< T, NDIM >::eval_cube(), madness::fast_transform(), madness::gaxpy(), madness::gaxpy_oop(), madness::gaxpy_oop(), madness::gaxpy_oop(), madness::general_fast_transform(), madness::general_transform(), madness::general_transform(), madness::inner(), madness::inner(), madness::inner(), madness::FunctionImpl< T, LDIM >::inner_local(), madness::inner_result(), madness::innerXX(), madness::matrix_dot(), madness::matrix_dot_old(), madness::matrix_inner(), madness::matrix_inner_old(), madness::FunctionImpl< T, LDIM >::mul(), madness::mul(), madness::mul(), madness::mul_sparse(), madness::FunctionImpl< T, NDIM >::do_dot_local< R >::operator()(), madness::FunctionImpl< T, NDIM >::do_inner_local< R >::operator()(), madness::GenTensor< T >::operator*(), madness::operator*(), madness::operator*(), madness::operator*(), madness::operator*(), madness::Tensor< double >::operator*(), madness::Tensor< double >::operator+(), madness::Tensor< double >::operator+(), madness::Tensor< double >::operator-(), madness::Tensor< double >::operator/(), madness::outer(), madness::outer(), madness::outer(), madness::Function< double, 3 >::project_out(), madness::GenTensor< T >::SliceLowRankTensor< T >, madness::sub(), madness::sub(), madness::GenTensor< T >::TENSOR_RESULT_TYPE(), madness::Tensor< double >::TENSOR_RESULT_TYPE(), madness::Tensor< double >::TENSOR_RESULT_TYPE(), test_cross(), test_dot(), test_inner(), madness::SRConf< T >::trace(), madness::TensorTrain< T >::trace(), madness::GenTensor< T >::transform, madness::transform(), madness::transform(), madness::transform(), madness::transform(), madness::transform(), madness::transform_dir(), madness::transform_reconstructed(), and madness::vmulXX().

TYPEINFO

#define TYPEINFO	(		num,
			T,
			iscmplx,
			mcpyok,
			realT,
			floatrealT )

Value:

template<> class TensorTypeData<T> {\
public: \
  enum {id = num}; \
  enum {supported = true}; \
  enum {iscomplex = iscmplx}; \
  enum {memcopyok = mcpyok}; \
  typedef T type; \
  typedef realT scalar_type; \
  typedef floatrealT float_scalar_type; \
}; \
template<> class TensorTypeFromId<num> {\
public: \
  typedef T type; \
}