Tensor Module

Detailed Description

This module provides a Tensor class for storing arbitrarily indexed objects.

#include <Eigen/CXX11/Tensor>

Much of the documentation can be found here.

Classes
struct	Eigen::internal::Initializer< Derived, N >
	Helper template to initialize Tensors from std::initializer_lists. More...
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::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::TensorCostModel< Device >
	A cost model used to limit the number of threads used for evaluating tensor expression. More...
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 >
	Tensor binary expression. More...
class	Eigen::TensorCwiseNullaryOp< NullaryOp, XprType >
	Tensor nullary expression. More...
class	Eigen::TensorCwiseUnaryOp< UnaryOp, XprType >
	Tensor unary expression. More...
class	Eigen::TensorDevice< ExpressionType, DeviceType >
	Pseudo expression providing an operator = that will evaluate its argument on the specified computing 'device' (GPU, thread pool, ...) More...
struct	Eigen::TensorEvaluator< Derived, Device >
	The tensor evaluator class. More...
class	Eigen::internal::TensorExecutor< Expression, Device, Vectorizable, Tiling >
	The tensor executor class. More...
class	Eigen::TensorFFTOp< FFT, XprType, FFTResultType, FFTDir >
	Tensor FFT class. More...
class	Eigen::TensorFixedSize< Scalar_, Dimensions_, Options_, IndexType >
	The fixed sized version of the tensor class. More...
class	Eigen::TensorForcedEvalOp< XprType >
	Tensor reshaping class. More...
class	Eigen::TensorGeneratorOp< Generator, XprType >
	Tensor generator class. More...
class	Eigen::TensorImagePatchOp< Rows, Cols, XprType >
	Patch extraction specialized for image processing. This assumes that the input has a least 3 dimensions ordered as follow: 1st dimension: channels (of size d) 2nd dimension: rows (of size r) 3rd dimension: columns (of size c) There can be additional dimensions such as time (for video) or batch (for bulk processing after the first 3. Calling the image patch code with patch_rows and patch_cols is equivalent to calling the regular patch extraction code with parameters d, patch_rows, patch_cols, and 1 for all the additional dimensions. More...
class	Eigen::TensorIndexPairOp< XprType >
	Tensor + Index Pair class. More...
class	Eigen::TensorInflationOp< Strides, XprType >
	Tensor inflation class. More...
class	Eigen::TensorMap< PlainObjectType, Options_, MakePointer_ >
	A tensor expression mapping an existing array of data. More...
class	Eigen::TensorPaddingOp< PaddingDimensions, XprType >
	Tensor padding class. At the moment only padding with a constant value is supported. More...
class	TensorPairIndex
	Converts to Tensor<Pair<Index, Scalar> > and reduces to Tensor<Index>. More...
class	Eigen::TensorPatchOp< PatchDim, XprType >
	Tensor patch class. More...
class	Eigen::TensorReductionOp< Op, Dims, XprType, MakePointer_ >
	Tensor reduction class. More...
class	Eigen::TensorRef< PlainObjectType >
	A reference to a tensor expression The expression will be evaluated lazily (as much as possible). More...
class	Eigen::TensorRef< const PlainObjectType >
	A reference to a constant tensor expression The expression will be evaluated lazily (as much as possible). More...
class	Eigen::TensorReshapingOp< NewDimensions, XprType >
	Tensor reshaping class. More...
class	Eigen::TensorReverseOp< ReverseDimensions, XprType >
	Tensor reverse elements class. More...
class	Eigen::TensorRollOp< RollDimensions, XprType >
	Tensor roll (circular shift) elements class. More...
class	Eigen::TensorScanOp< Op, XprType >
	Tensor scan class. More...
class	Eigen::TensorShufflingOp< Shuffle, XprType >
	Tensor shuffling class. More...
class	TensorSlicing
	Tensor slicing class. More...
class	Eigen::TensorStridingOp< Strides, XprType >
	Tensor striding class. More...
class	Eigen::TensorTraceOp< Dims, XprType >
	Tensor Trace class. More...
class	Eigen::TensorVolumePatchOp< Planes, Rows, Cols, XprType >
	Patch extraction specialized for processing of volumetric data. This assumes that the input has a least 4 dimensions ordered as follows: More...