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Diffstat (limited to 'third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h')
-rw-r--r-- | third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h | 104 |
1 files changed, 0 insertions, 104 deletions
diff --git a/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h b/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h deleted file mode 100644 index e11d5ed22e..0000000000 --- a/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h +++ /dev/null @@ -1,104 +0,0 @@ -// This file is part of Eigen, a lightweight C++ template library -// for linear algebra. -// -// Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com> -// -// This Source Code Form is subject to the terms of the Mozilla -// Public License v. 2.0. If a copy of the MPL was not distributed -// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. - -#ifndef EIGEN_CXX11_TENSOR_TENSOR_FORWARD_DECLARATIONS_H -#define EIGEN_CXX11_TENSOR_TENSOR_FORWARD_DECLARATIONS_H - -namespace Eigen { - -template<typename Scalar_, std::size_t NumIndices_, int Options_ = 0, typename IndexType = DenseIndex> class Tensor; -template<typename Scalar_, typename Dimensions, int Options_ = 0, typename IndexType = DenseIndex> class TensorFixedSize; -template<typename Scalar_, int Options_ = 0, typename IndexType = DenseIndex> class TensorVarDim; -template<typename PlainObjectType, int Options_ = Unaligned> class TensorMap; -template<typename PlainObjectType> class TensorRef; -template<typename Derived, int AccessLevel = internal::accessors_level<Derived>::value> class TensorBase; - -template<typename NullaryOp, typename PlainObjectType> class TensorCwiseNullaryOp; -template<typename UnaryOp, typename XprType> class TensorCwiseUnaryOp; -template<typename BinaryOp, typename LeftXprType, typename RightXprType> class TensorCwiseBinaryOp; -template<typename IfXprType, typename ThenXprType, typename ElseXprType> class TensorSelectOp; -template<typename Op, typename Dims, typename XprType> class TensorReductionOp; -template<typename XprType> class TensorIndexTupleOp; -template<typename ReduceOp, typename Dims, typename XprType> class TensorTupleReducerOp; -template<typename Axis, typename LeftXprType, typename RightXprType> class TensorConcatenationOp; -template<typename Dimensions, typename LeftXprType, typename RightXprType> class TensorContractionOp; -template<typename TargetType, typename XprType> class TensorConversionOp; -template<typename Dimensions, typename InputXprType, typename KernelXprType> class TensorConvolutionOp; -template<typename Dimensions, typename InputXprType, typename KernelXprType> class TensorConvolutionByFFTOp; -template<typename FFT, typename XprType, int FFTDataType, int FFTDirection> class TensorFFTOp; -template<typename IFFT, typename XprType, int ResultType> class TensorIFFTOp; -template<typename DFT, typename XprType, int ResultType> class TensorDFTOp; -template<typename IDFT, typename XprType, int ResultType> class TensorIDFTOp; -template<typename PatchDim, typename XprType> class TensorPatchOp; -template<DenseIndex Rows, DenseIndex Cols, typename XprType> class TensorImagePatchOp; -template<DenseIndex Planes, DenseIndex Rows, DenseIndex Cols, typename XprType> class TensorVolumePatchOp; -template<typename Broadcast, typename XprType> class TensorBroadcastingOp; -template<DenseIndex DimId, typename XprType> class TensorChippingOp; -template<typename NewDimensions, typename XprType> class TensorReshapingOp; -template<typename XprType> class TensorLayoutSwapOp; -template<typename StartIndices, typename Sizes, typename XprType> class TensorSlicingOp; -template<typename ReverseDimensions, typename XprType> class TensorReverseOp; -template<typename XprType> class TensorTrueIndicesOp; -template<typename PaddingDimensions, typename XprType> class TensorPaddingOp; -template<typename Shuffle, typename XprType> class TensorShufflingOp; -template<typename Strides, typename XprType> class TensorStridingOp; -template<typename Strides, typename XprType> class TensorInflationOp; -template<typename Generator, typename XprType> class TensorGeneratorOp; -template<typename LeftXprType, typename RightXprType> class TensorAssignOp; - -template<typename CustomUnaryFunc, typename XprType> class TensorCustomUnaryOp; -template<typename CustomBinaryFunc, typename LhsXprType, typename RhsXprType> class TensorCustomBinaryOp; - -template<typename XprType> class TensorEvalToOp; -template<typename XprType> class TensorForcedEvalOp; - -template<typename ExpressionType, typename DeviceType> class TensorDevice; -template<typename Derived, typename Device> struct TensorEvaluator; - -class DefaultDevice; -class ThreadPoolDevice; -class GpuDevice; - -enum DFTResultType { - RealPart = 0, - ImagPart = 1, - BothParts = 2 -}; - -enum FFTDirection { - FFT_FORWARD = 0, - FFT_REVERSE = 1 -}; - -namespace internal { -template <typename Device, typename Expression> -struct IsVectorizable { - static const bool value = TensorEvaluator<Expression, Device>::PacketAccess; -}; - -template <typename Expression> -struct IsVectorizable<GpuDevice, Expression> { - static const bool value = TensorEvaluator<Expression, GpuDevice>::PacketAccess && - TensorEvaluator<Expression, GpuDevice>::IsAligned; -}; - -template <typename Device, typename Expression> -struct IsTileable { - static const bool value = TensorEvaluator<Expression, Device>::BlockAccess; -}; - -template <typename Expression, typename Device, - bool Vectorizable = IsVectorizable<Device, Expression>::value, - bool Tileable = IsTileable<Device, Expression>::value> -class TensorExecutor; -} // end namespace internal - -} // end namespace Eigen - -#endif // EIGEN_CXX11_TENSOR_TENSOR_FORWARD_DECLARATIONS_H |