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diff --git a/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h b/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h
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--- a/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h
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@@ -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