TensorForwardDeclarations.h
1 // This file is part of Eigen, a lightweight C++ template library
2 // for linear algebra.
3 //
4 // Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com>
5 //
6 // This Source Code Form is subject to the terms of the Mozilla
7 // Public License v. 2.0. If a copy of the MPL was not distributed
8 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
9 
10 #ifndef EIGEN_CXX11_TENSOR_TENSOR_FORWARD_DECLARATIONS_H
11 #define EIGEN_CXX11_TENSOR_TENSOR_FORWARD_DECLARATIONS_H
12 
13 namespace Eigen {
14 
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;
18 template<typename PlainObjectType> class TensorRef;
19 template<typename Derived, int AccessLevel> class TensorBase;
20 
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 TernaryOp, typename Arg1XprType, typename Arg2XprType, typename Arg3XprType> class TensorCwiseTernaryOp;
25 template<typename IfXprType, typename ThenXprType, typename ElseXprType> class TensorSelectOp;
26 template<typename Op, typename Dims, typename XprType> class TensorReductionOp;
27 template<typename XprType> class TensorIndexTupleOp;
28 template<typename ReduceOp, typename Dims, typename XprType> class TensorTupleReducerOp;
29 template<typename Axis, typename LeftXprType, typename RightXprType> class TensorConcatenationOp;
30 template<typename Dimensions, typename LeftXprType, typename RightXprType> class TensorContractionOp;
31 template<typename TargetType, typename XprType> class TensorConversionOp;
32 template<typename Dimensions, typename InputXprType, typename KernelXprType> class TensorConvolutionOp;
33 template<typename FFT, typename XprType, int FFTDataType, int FFTDirection> class TensorFFTOp;
34 template<typename PatchDim, typename XprType> class TensorPatchOp;
35 template<DenseIndex Rows, DenseIndex Cols, typename XprType> class TensorImagePatchOp;
36 template<DenseIndex Planes, DenseIndex Rows, DenseIndex Cols, typename XprType> class TensorVolumePatchOp;
37 template<typename Broadcast, typename XprType> class TensorBroadcastingOp;
38 template<DenseIndex DimId, typename XprType> class TensorChippingOp;
39 template<typename NewDimensions, typename XprType> class TensorReshapingOp;
40 template<typename XprType> class TensorLayoutSwapOp;
41 template<typename StartIndices, typename Sizes, typename XprType> class TensorSlicingOp;
42 template<typename ReverseDimensions, typename XprType> class TensorReverseOp;
43 template<typename PaddingDimensions, typename XprType> class TensorPaddingOp;
44 template<typename Shuffle, typename XprType> class TensorShufflingOp;
45 template<typename Strides, typename XprType> class TensorStridingOp;
46 template<typename StartIndices, typename StopIndices, typename Strides, typename XprType> class TensorStridingSlicingOp;
47 template<typename Strides, typename XprType> class TensorInflationOp;
48 template<typename Generator, typename XprType> class TensorGeneratorOp;
49 template<typename LeftXprType, typename RightXprType> class TensorAssignOp;
50 template<typename Op, typename XprType> class TensorScanOp;
51 
52 template<typename CustomUnaryFunc, typename XprType> class TensorCustomUnaryOp;
53 template<typename CustomBinaryFunc, typename LhsXprType, typename RhsXprType> class TensorCustomBinaryOp;
54 
55 template<typename XprType> class TensorEvalToOp;
56 template<typename XprType> class TensorForcedEvalOp;
57 
58 template<typename ExpressionType, typename DeviceType> class TensorDevice;
59 template<typename Derived, typename Device> struct TensorEvaluator;
60 
61 struct DefaultDevice;
62 struct ThreadPoolDevice;
63 struct GpuDevice;
64 
65 enum FFTResultType {
66  RealPart = 0,
67  ImagPart = 1,
68  BothParts = 2
69 };
70 
71 enum FFTDirection {
72  FFT_FORWARD = 0,
73  FFT_REVERSE = 1
74 };
75 
76 
77 namespace internal {
78 
79 template <typename Device, typename Expression>
80 struct IsVectorizable {
81  static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
82 };
83 
84 template <typename Expression>
85 struct IsVectorizable<GpuDevice, Expression> {
86  static const bool value = TensorEvaluator<Expression, GpuDevice>::PacketAccess &&
88 };
89 
90 template <typename Expression, typename Device,
91  bool Vectorizable = IsVectorizable<Device, Expression>::value>
92 class TensorExecutor;
93 
94 } // end namespace internal
95 
96 } // end namespace Eigen
97 
98 #endif // EIGEN_CXX11_TENSOR_TENSOR_FORWARD_DECLARATIONS_H
Tensor custom class.
Definition: TensorCustomOp.h:52
Tensor custom class.
Definition: TensorCustomOp.h:202
Namespace containing all symbols from the Eigen library.
Definition: AdolcForward:45
A cost model used to limit the number of threads used for evaluating tensor expression.
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:145
The tensor base class.
Definition: TensorBase.h:809
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:58