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 >:

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

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

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

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

typedef Scalar	CoeffReturnType

typedef NumTraits< Scalar >::Real	RealScalar

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

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

typedef DerivedTraits::Scalar	Scalar

typedef DerivedTraits::Index	Index

typedef Scalar	CoeffReturnType

Public Member Functions
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE	TensorConversionOp (const XprType &xpr)

EIGEN_DEVICE_FUNC const internal::remove_all_t< typename XprType::Nested > &	expression () const

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

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 > &	setValues (const typename internal::Initializer< TensorConversionOp< TargetType, XprType >, NumDimensions >::InitList &vals)

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

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

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)

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 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 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 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 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 const TensorRollOp< const Rolls, const TensorConversionOp< TargetType, XprType > >	roll (const Rolls &roll) const

EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorRollOp< const Rolls, TensorConversionOp< TargetType, XprType > >	roll (const Rolls &roll)

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

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

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)

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

TensorAsyncDevice< TensorConversionOp< TargetType, XprType >, DeviceType, DoneCallback >	device (const DeviceType &dev, DoneCallback done)

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

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

Protected Attributes
XprType::Nested	m_xpr

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

Protected Member Functions inherited from Eigen::TensorBase< TensorConversionOp< TargetType, XprType >, ReadOnlyAccessors >
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConversionOp< TargetType, XprType > &	operator= (const OtherDerived &other)

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.