TensorForwardDeclarations.h File Reference

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Classes
struct	Eigen::internal::IsTileable< Device, Expression >
struct	Eigen::internal::IsVectorizable< Device, Expression >
struct	Eigen::internal::IsVectorizable< GpuDevice, Expression >
struct	Eigen::MakePointer< T >
struct	Eigen::internal::Pointer_type_promotion< A, B >
struct	Eigen::internal::Pointer_type_promotion< A, A >
struct	Eigen::StorageMemory< T, device >
class	Eigen::Tensor< Scalar_, NumIndices_, Options_, IndexType_ >
	The tensor class. More...
class	Eigen::TensorAssignOp< LhsXprType, RhsXprType >
class	Eigen::TensorAsyncDevice< ExpressionType, DeviceType, DoneCallback >
	Pseudo expression providing an operator = that will evaluate its argument asynchronously on the specified device. Currently only ThreadPoolDevice implements proper asynchronous execution, while the default and GPU devices just run the expression synchronously and call m_done() on completion.. More...
class	Eigen::internal::TensorAsyncExecutor< Expression, Device, DoneCallback, Vectorizable, Tiling >
class	Eigen::TensorBase< Derived, AccessLevel >
	The tensor base class. More...
class	Eigen::TensorBroadcastingOp< Broadcast, XprType >
class	Eigen::TensorChippingOp< DimId, XprType >
class	Eigen::TensorConcatenationOp< Axis, LhsXprType, RhsXprType >
	Tensor concatenation class. More...
class	Eigen::TensorContractionOp< Indices, LhsXprType, RhsXprType, OutputKernelType >
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. More...
class	Eigen::TensorConvolutionOp< Indices, InputXprType, KernelXprType >
class	Eigen::TensorCustomBinaryOp< CustomBinaryFunc, LhsXprType, RhsXprType >
	Tensor custom class. More...
class	Eigen::TensorCustomUnaryOp< CustomUnaryFunc, XprType >
	Tensor custom class. More...
class	Eigen::TensorCwiseBinaryOp< BinaryOp, LhsXprType, RhsXprType >
class	Eigen::TensorCwiseNullaryOp< NullaryOp, XprType >
class	Eigen::TensorCwiseTernaryOp< TernaryOp, Arg1XprType, Arg2XprType, Arg3XprType >
class	Eigen::TensorCwiseUnaryOp< UnaryOp, XprType >
class	Eigen::TensorDevice< ExpressionType, DeviceType >
	Pseudo expression providing an operator = that will evaluate its argument on the specified computing 'device' (GPU, thread pool, ...) More...
class	Eigen::TensorEvalToOp< XprType, MakePointer_ >
class	Eigen::TensorEvaluator< Derived, Device >
	A cost model used to limit the number of threads used for evaluating tensor expression. More...
class	Eigen::internal::TensorExecutor< Expression, Device, Vectorizable, Tiling >
class	Eigen::TensorFFTOp< FFT, XprType, FFTResultType, FFTDir >
class	Eigen::TensorFixedSize< Scalar_, Dimensions_, Options_, IndexType >
	The fixed sized version of the tensor class. More...
class	Eigen::TensorForcedEvalOp< XprType >
class	Eigen::TensorGeneratorOp< Generator, XprType >
	Tensor generator class. More...
class	Eigen::TensorImagePatchOp< Rows, Cols, XprType >
class	Eigen::TensorIndexTupleOp< XprType >
class	Eigen::TensorInflationOp< Strides, XprType >
class	Eigen::TensorLayoutSwapOp< XprType >
class	Eigen::TensorMap< PlainObjectType, Options_, MakePointer_ >
	A tensor expression mapping an existing array of data. More...
class	Eigen::TensorPaddingOp< PaddingDimensions, XprType >
class	Eigen::TensorPatchOp< PatchDim, XprType >
class	Eigen::TensorReductionOp< Op, Dims, XprType, MakePointer_ >
class	Eigen::TensorRef< PlainObjectType >
	A reference to a tensor expression The expression will be evaluated lazily (as much as possible). More...
class	Eigen::TensorReshapingOp< NewDimensions, XprType >
class	Eigen::TensorReverseOp< ReverseDimensions, XprType >
class	Eigen::TensorScanOp< Op, XprType >
class	Eigen::TensorSelectOp< IfXprType, ThenXprType, ElseXprType >
class	Eigen::TensorShufflingOp< Shuffle, XprType >
class	Eigen::TensorSlicingOp< StartIndices, Sizes, XprType >
class	Eigen::TensorStridingOp< Strides, XprType >
class	Eigen::TensorStridingSlicingOp< StartIndices, StopIndices, Strides, XprType >
class	Eigen::TensorTraceOp< Dims, XprType >
class	Eigen::TensorTupleReducerOp< ReduceOp, Dims, XprType >
class	Eigen::TensorVolumePatchOp< Planes, Rows, Cols, XprType >
struct	Eigen::internal::TypeConversion< A, B >

Namespaces
	Eigen
	Namespace containing all symbols from the Eigen library.
	Eigen::internal

Enumerations
enum	Eigen::FFTDirection { Eigen::FFT_FORWARD = 0, Eigen::FFT_REVERSE = 1 }
enum	Eigen::FFTResultType { Eigen::RealPart = 0, Eigen::ImagPart = 1, Eigen::BothParts = 2 }
enum	Eigen::internal::TiledEvaluation { Eigen::internal::Off = 0, Eigen::internal::On = 1 }

Functions
template<typename T >
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T *	Eigen::constCast (const T *data)