Tensor conversion class. This class makes it possible to vectorize type casting operations when the number of scalars per packet in the source and the destination type differ. More...

#include <TensorConversion.h>

Inheritance diagram for Eigen::TensorConversionOp< TargetType, XprType >:

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Public Types
typedef Scalar	CoeffReturnType

typedef internal::traits< TensorConversionOp >::Index	Index

typedef internal::nested< TensorConversionOp >::type	Nested

typedef NumTraits< Scalar >::Real	RealScalar

typedef internal::traits< TensorConversionOp >::Scalar	Scalar

typedef internal::traits< TensorConversionOp >::StorageKind	StorageKind

Public Types inherited from Eigen::TensorBase< TensorConversionOp< TargetType, XprType >, ReadOnlyAccessors >
typedef Scalar	CoeffReturnType

typedef internal::traits< TensorConversionOp< TargetType, XprType > >	DerivedTraits

typedef DerivedTraits::Index	Index

typedef DerivedTraits::Scalar	Scalar

Public Member Functions
EIGEN_DEVICE_FUNC const internal::remove_all< typename XprType::Nested >::type &	expression () const

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE	TensorConversionOp (const XprType &xpr)

Public Member Functions inherited from Eigen::TensorBase< TensorConversionOp< TargetType, XprType >, ReadOnlyAccessors >
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorChippingOp< DimId, const TensorConversionOp< TargetType, XprType > >	chip (const Index offset) const

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorChippingOp< DimId, TensorConversionOp< TargetType, XprType > >	chip (const Index offset)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorChippingOp< Dynamic, const TensorConversionOp< TargetType, XprType > >	chip (const Index offset, const Index dim) const

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorChippingOp< Dynamic, TensorConversionOp< TargetType, XprType > >	chip (const Index offset, const Index dim)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorConcatenationOp< const Axis, const TensorConversionOp< TargetType, XprType >, const OtherDerived >	concatenate (const OtherDerived &other, const Axis &axis) const

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConcatenationOp< const Axis, TensorConversionOp< TargetType, XprType >, OtherDerived >	concatenate (const OtherDerived &other, const Axis &axis)

TensorDevice< TensorConversionOp< TargetType, XprType >, DeviceType >	device (const DeviceType &device)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConversionOp< TargetType, XprType > &	operator*= (const OtherDerived &other)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConversionOp< TargetType, XprType > &	operator+= (const OtherDerived &other)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConversionOp< TargetType, XprType > &	operator-= (const OtherDerived &other)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConversionOp< TargetType, XprType > &	operator/= (const OtherDerived &other)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorReshapingOp< const NewDimensions, const TensorConversionOp< TargetType, XprType > >	reshape (const NewDimensions &newDimensions) const

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorReshapingOp< const NewDimensions, TensorConversionOp< TargetType, XprType > >	reshape (const NewDimensions &newDimensions)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorReverseOp< const ReverseDimensions, const TensorConversionOp< TargetType, XprType > >	reverse (const ReverseDimensions &rev) const

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorReverseOp< const ReverseDimensions, TensorConversionOp< TargetType, XprType > >	reverse (const ReverseDimensions &rev)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConversionOp< TargetType, XprType > &	setConstant (const Scalar &val)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConversionOp< TargetType, XprType > &	setRandom ()

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConversionOp< TargetType, XprType > &	setRandom ()

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConversionOp< TargetType, XprType > &	setZero ()

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorShufflingOp< const Shuffle, const TensorConversionOp< TargetType, XprType > >	shuffle (const Shuffle &shuffle) const

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorShufflingOp< const Shuffle, TensorConversionOp< TargetType, XprType > >	shuffle (const Shuffle &shuffle)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorSlicingOp< const StartIndices, const Sizes, const TensorConversionOp< TargetType, XprType > >	slice (const StartIndices &startIndices, const Sizes &sizes) const

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorSlicingOp< const StartIndices, const Sizes, TensorConversionOp< TargetType, XprType > >	slice (const StartIndices &startIndices, const Sizes &sizes)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorStridingOp< const Strides, const TensorConversionOp< TargetType, XprType > >	stride (const Strides &strides) const

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorStridingOp< const Strides, TensorConversionOp< TargetType, XprType > >	stride (const Strides &strides)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorStridingSlicingOp< const StartIndices, const StopIndices, const Strides, const TensorConversionOp< TargetType, XprType > >	stridedSlice (const StartIndices &startIndices, const StopIndices &stopIndices, const Strides &strides) const

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorStridingSlicingOp< const StartIndices, const StopIndices, const Strides, TensorConversionOp< TargetType, XprType > >	stridedSlice (const StartIndices &startIndices, const StopIndices &stopIndices, const Strides &strides)

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorLayoutSwapOp< const TensorConversionOp< TargetType, XprType > >	swap_layout () const

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorLayoutSwapOp< TensorConversionOp< TargetType, XprType > >	swap_layout ()

Protected Attributes
XprType::Nested	m_xpr

Additional Inherited Members
Static Public Attributes inherited from Eigen::TensorBase< TensorConversionOp< TargetType, XprType >, ReadOnlyAccessors >
static const int	NumDimensions

Protected Member Functions inherited from Eigen::TensorBase< TensorConversionOp< TargetType, XprType >, ReadOnlyAccessors >
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConversionOp< TargetType, XprType > &	derived ()

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorConversionOp< TargetType, XprType > &	derived () const

Detailed Description

template<typename TargetType, typename XprType>
class Eigen::TensorConversionOp< TargetType, XprType >

Tensor conversion class. This class makes it possible to vectorize type casting operations when the number of scalars per packet in the source and the destination type differ.

Definition at line 145 of file TensorConversion.h.