1 files changed, 0 insertions, 179 deletions
diff --git a/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h b/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h
deleted file mode 100644
index fdb943e713..0000000000
--- a/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h
+++ /dev/null
@@ -1,179 +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_ASSIGN_H
-#define EIGEN_CXX11_TENSOR_TENSOR_ASSIGN_H
-
-namespace Eigen {
-
-/** \class TensorAssign
-  * \ingroup CXX11_Tensor_Module
-  *
-  * \brief The tensor assignment class.
-  *
-  * This class is represents the assignment of the values resulting from the evaluation of
-  * the rhs expression to the memory locations denoted by the lhs expression.
-  */
-namespace internal {
-template<typename LhsXprType, typename RhsXprType>
-struct traits<TensorAssignOp<LhsXprType, RhsXprType> >
-{
-  typedef typename LhsXprType::Scalar Scalar;
-  typedef typename traits<LhsXprType>::StorageKind StorageKind;
-  typedef typename promote_index_type<typename traits<LhsXprType>::Index,
-                                      typename traits<RhsXprType>::Index>::type Index;
-  typedef typename LhsXprType::Nested LhsNested;
-  typedef typename RhsXprType::Nested RhsNested;
-  typedef typename remove_reference<LhsNested>::type _LhsNested;
-  typedef typename remove_reference<RhsNested>::type _RhsNested;
-  static const std::size_t NumDimensions = internal::traits<LhsXprType>::NumDimensions;
-  static const int Layout = internal::traits<LhsXprType>::Layout;
-
-  enum {
-    Flags = 0,
-  };
-};
-
-template<typename LhsXprType, typename RhsXprType>
-struct eval<TensorAssignOp<LhsXprType, RhsXprType>, Eigen::Dense>
-{
-  typedef const TensorAssignOp<LhsXprType, RhsXprType>& type;
-};
-
-template<typename LhsXprType, typename RhsXprType>
-struct nested<TensorAssignOp<LhsXprType, RhsXprType>, 1, typename eval<TensorAssignOp<LhsXprType, RhsXprType> >::type>
-{
-  typedef TensorAssignOp<LhsXprType, RhsXprType> type;
-};
-
-}  // end namespace internal
-
-
-
-template<typename LhsXprType, typename RhsXprType>
-class TensorAssignOp : public TensorBase<TensorAssignOp<LhsXprType, RhsXprType> >
-{
-  public:
-  typedef typename Eigen::internal::traits<TensorAssignOp>::Scalar Scalar;
-  typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
-  typedef typename LhsXprType::CoeffReturnType CoeffReturnType;
-  typedef typename Eigen::internal::traits<TensorAssignOp>::StorageKind StorageKind;
-  typedef typename Eigen::internal::traits<TensorAssignOp>::Index Index;
-  static const std::size_t NumDims = Eigen::internal::traits<TensorAssignOp>::NumDimensions;
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorAssignOp(LhsXprType& lhs, const RhsXprType& rhs)
-      : m_lhs_xpr(lhs), m_rhs_xpr(rhs) {}
-
-    /** \returns the nested expressions */
-    EIGEN_DEVICE_FUNC
-    typename internal::remove_all<typename LhsXprType::Nested>::type&
-    lhsExpression() const { return *((typename internal::remove_all<typename LhsXprType::Nested>::type*)&m_lhs_xpr); }
-
-    EIGEN_DEVICE_FUNC
-    const typename internal::remove_all<typename RhsXprType::Nested>::type&
-    rhsExpression() const { return m_rhs_xpr; }
-
-  protected:
-    typename internal::remove_all<typename LhsXprType::Nested>::type& m_lhs_xpr;
-    const typename internal::remove_all<typename RhsXprType::Nested>::type& m_rhs_xpr;
-};
-
-
-template<typename LeftArgType, typename RightArgType, typename Device>
-struct TensorEvaluator<const TensorAssignOp<LeftArgType, RightArgType>, Device>
-{
-  typedef TensorAssignOp<LeftArgType, RightArgType> XprType;
-
-  enum {
-    IsAligned = TensorEvaluator<LeftArgType, Device>::IsAligned &
-                TensorEvaluator<RightArgType, Device>::IsAligned,
-    PacketAccess = TensorEvaluator<LeftArgType, Device>::PacketAccess &
-                   TensorEvaluator<RightArgType, Device>::PacketAccess,
-    BlockAccess = TensorEvaluator<LeftArgType, Device>::BlockAccess &
-                  TensorEvaluator<RightArgType, Device>::BlockAccess,
-    Layout = TensorEvaluator<LeftArgType, Device>::Layout,
-  };
-
-  EIGEN_DEVICE_FUNC TensorEvaluator(const XprType& op, const Device& device) :
-      m_leftImpl(op.lhsExpression(), device),
-      m_rightImpl(op.rhsExpression(), device)
-  {
-    EIGEN_STATIC_ASSERT((static_cast<int>(TensorEvaluator<LeftArgType, Device>::Layout) == static_cast<int>(TensorEvaluator<RightArgType, Device>::Layout)), YOU_MADE_A_PROGRAMMING_MISTAKE);
-  }
-
-  typedef typename XprType::Index Index;
-  typedef typename XprType::Scalar Scalar;
-  typedef typename XprType::CoeffReturnType CoeffReturnType;
-  typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnType;
-  typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
-  static const std::size_t NumDims = XprType::NumDims;
-
-  typedef typename internal::TensorBlock<
-    Index, typename internal::remove_const<Scalar>::type, NumDims, Layout>
-    TensorBlock;
-
-  EIGEN_DEVICE_FUNC const Dimensions& dimensions() const
-  {
-    // TODO: use left impl instead if right impl dimensions are known at compile time.
-    return m_rightImpl.dimensions();
-  }
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar*) {
-    eigen_assert(dimensions_match(m_leftImpl.dimensions(), m_rightImpl.dimensions()));
-    m_leftImpl.evalSubExprsIfNeeded(NULL);
-    // If the lhs provides raw access to its storage area (i.e. if m_leftImpl.data() returns a non
-    // null value), attempt to evaluate the rhs expression in place. Returns true iff in place
-    // evaluation isn't supported and the caller still needs to manually assign the values generated
-    // by the rhs to the lhs.
-    return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
-  }
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() {
-    m_leftImpl.cleanup();
-    m_rightImpl.cleanup();
-  }
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalScalar(Index i) {
-    m_leftImpl.coeffRef(i) = m_rightImpl.coeff(i);
-  }
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalPacket(Index i) {
-    const int LhsStoreMode = TensorEvaluator<LeftArgType, Device>::IsAligned ? Aligned : Unaligned;
-    const int RhsLoadMode = TensorEvaluator<RightArgType, Device>::IsAligned ? Aligned : Unaligned;
-    m_leftImpl.template writePacket<LhsStoreMode>(i, m_rightImpl.template packet<RhsLoadMode>(i));
-  }
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void getResourceRequirements(
-      std::vector<internal::TensorOpResourceRequirements>* resources) const {
-    m_leftImpl.getResourceRequirements(resources);
-    m_rightImpl.getResourceRequirements(resources);
-  }
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalBlock(TensorBlock* block) {
-    m_rightImpl.block(block);
-    m_leftImpl.writeBlock(*block);
-  }
-
-  EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index index) const
-  {
-    return m_leftImpl.coeff(index);
-  }
-  template<int LoadMode>
-  EIGEN_DEVICE_FUNC PacketReturnType packet(Index index) const
-  {
-    return m_leftImpl.template packet<LoadMode>(index);
-  }
-
- private:
-  TensorEvaluator<LeftArgType, Device> m_leftImpl;
-  TensorEvaluator<RightArgType, Device> m_rightImpl;
-};
-
-}
-
-
-#endif // EIGEN_CXX11_TENSOR_TENSOR_ASSIGN_H