TensorForwardDeclarations.h File Reference

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Classes
struct	Eigen::internal::IsVectorizable< Device, Expression >
struct	Eigen::internal::IsVectorizable< GpuDevice, Expression >
struct	Eigen::MakePointer< T >
class	Eigen::Tensor< Scalar_, NumIndices_, Options_, IndexType_ >
	The tensor class. More...
class	Eigen::TensorAssignOp< LhsXprType, RhsXprType >
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 >
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 >
class	Eigen::TensorFFTOp< FFT, XprType, FFTDataType, FFTDirection >
class	Eigen::TensorFixedSize< Scalar_, Dimensions_, Options_, IndexType >
	The fixed sized version of the tensor class. More...
class	Eigen::TensorForcedEvalOp< XprType, MakePointer_ >
class	Eigen::TensorGeneratorOp< Generator, XprType >
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::TensorTupleReducerOp< ReduceOp, Dims, XprType >
class	Eigen::TensorVolumePatchOp< Planes, Rows, Cols, XprType >

Namespaces
	Eigen
	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 }