10 #ifndef EIGEN_CXX11_TENSOR_TENSOR_FORWARD_DECLARATIONS_H 11 #define EIGEN_CXX11_TENSOR_TENSOR_FORWARD_DECLARATIONS_H 15 template<
typename Scalar_,
int NumIndices_,
int Options_ = 0,
typename IndexType = DenseIndex>
class Tensor;
16 template<
typename Scalar_,
typename Dimensions,
int Options_ = 0,
typename IndexType = DenseIndex>
class TensorFixedSize;
17 template<
typename PlainObjectType,
int Options_ = Unaligned>
class TensorMap;
19 template<typename Derived, int AccessLevel = internal::accessors_level<Derived>::value>
class TensorBase;
21 template<
typename NullaryOp,
typename PlainObjectType>
class TensorCwiseNullaryOp;
22 template<
typename UnaryOp,
typename XprType>
class TensorCwiseUnaryOp;
23 template<
typename BinaryOp,
typename LeftXprType,
typename RightXprType>
class TensorCwiseBinaryOp;
24 template<
typename IfXprType,
typename ThenXprType,
typename ElseXprType>
class TensorSelectOp;
25 template<
typename Op,
typename Dims,
typename XprType>
class TensorReductionOp;
26 template<
typename XprType>
class TensorIndexTupleOp;
27 template<
typename ReduceOp,
typename Dims,
typename XprType>
class TensorTupleReducerOp;
29 template<
typename Dimensions,
typename LeftXprType,
typename RightXprType>
class TensorContractionOp;
31 template<
typename Dimensions,
typename InputXprType,
typename KernelXprType>
class TensorConvolutionOp;
32 template<
typename FFT,
typename XprType,
int FFTDataType,
int FFTDirection>
class TensorFFTOp;
33 template<
typename PatchDim,
typename XprType>
class TensorPatchOp;
34 template<DenseIndex Rows, DenseIndex Cols,
typename XprType>
class TensorImagePatchOp;
35 template<DenseIndex Planes, DenseIndex Rows, DenseIndex Cols,
typename XprType>
class TensorVolumePatchOp;
36 template<
typename Broadcast,
typename XprType>
class TensorBroadcastingOp;
37 template<DenseIndex DimId,
typename XprType>
class TensorChippingOp;
38 template<
typename NewDimensions,
typename XprType>
class TensorReshapingOp;
39 template<
typename XprType>
class TensorLayoutSwapOp;
40 template<
typename StartIndices,
typename Sizes,
typename XprType>
class TensorSlicingOp;
41 template<
typename ReverseDimensions,
typename XprType>
class TensorReverseOp;
42 template<
typename PaddingDimensions,
typename XprType>
class TensorPaddingOp;
43 template<
typename Shuffle,
typename XprType>
class TensorShufflingOp;
44 template<
typename Str
ides,
typename XprType>
class TensorStridingOp;
45 template<
typename Str
ides,
typename XprType>
class TensorInflationOp;
46 template<
typename Generator,
typename XprType>
class TensorGeneratorOp;
47 template<
typename LeftXprType,
typename RightXprType>
class TensorAssignOp;
50 template<
typename CustomBinaryFunc,
typename LhsXprType,
typename RhsXprType>
class TensorCustomBinaryOp;
52 template<
typename XprType>
class TensorEvalToOp;
53 template<
typename XprType>
class TensorForcedEvalOp;
55 template<
typename ExpressionType,
typename DeviceType>
class TensorDevice;
59 struct ThreadPoolDevice;
76 template <
typename Device,
typename Expression>
77 struct IsVectorizable {
81 template <
typename Expression>
82 struct IsVectorizable<GpuDevice, Expression> {
87 template <
typename Expression,
typename Device,
88 bool Vectorizable = IsVectorizable<Device, Expression>::value>
95 #endif // EIGEN_CXX11_TENSOR_TENSOR_FORWARD_DECLARATIONS_H Tensor custom class.
Definition: TensorCustomOp.h:53
Tensor custom class.
Definition: TensorCustomOp.h:203
Namespace containing all symbols from the Eigen library.
Definition: CXX11Meta.h:13
The tensor evaluator classes.
Definition: TensorEvaluator.h:28
Pseudo expression providing an operator = that will evaluate its argument on the specified computing ...
Definition: TensorDevice.h:27
A tensor expression mapping an existing array of data.
Definition: TensorForwardDeclarations.h:17
Tensor conversion class. This class makes it possible to vectorize type casting operations when the n...
Definition: TensorConversion.h:122
The tensor base class.
Definition: TensorForwardDeclarations.h:19
The tensor executor class.
A reference to a tensor expression The expression will be evaluated lazily (as much as possible)...
Definition: TensorForwardDeclarations.h:18
Tensor concatenation class.
Definition: TensorConcatenation.h:59