Deleted the local copy of the tensor code since we're now pulling this

code directly from the eigen repository

1 files changed, 0 insertions, 442 deletions

diff --git a/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorRef.h b/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorRef.h
deleted file mode 100644
index fb8ba09dd3..0000000000
--- a/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorRef.h
+++ /dev/null
@@ -1,442 +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_REF_H
-#define EIGEN_CXX11_TENSOR_TENSOR_REF_H
-
-namespace Eigen {
-
-namespace internal {
-
-template <typename Dimensions, typename Scalar>
-class TensorLazyBaseEvaluator {
- public:
-  TensorLazyBaseEvaluator() : m_refcount(0) { }
-  virtual ~TensorLazyBaseEvaluator() { }
-
-  EIGEN_DEVICE_FUNC virtual const Dimensions& dimensions() const = 0;
-  EIGEN_DEVICE_FUNC virtual const Scalar* data() const = 0;
-
-  EIGEN_DEVICE_FUNC virtual const Scalar coeff(DenseIndex index) const = 0;
-  EIGEN_DEVICE_FUNC virtual Scalar& coeffRef(DenseIndex index) = 0;
-
-  void incrRefCount() { ++m_refcount; }
-  void decrRefCount() { --m_refcount; }
-  int refCount() const { return m_refcount; }
-
- private:
-  // No copy, no assigment;
-  TensorLazyBaseEvaluator(const TensorLazyBaseEvaluator& other);
-  TensorLazyBaseEvaluator& operator = (const TensorLazyBaseEvaluator& other);
-
-  int m_refcount;
-};
-
-
-template <typename Dimensions, typename Expr, typename Device>
-class TensorLazyEvaluatorReadOnly : public TensorLazyBaseEvaluator<Dimensions, typename TensorEvaluator<Expr, Device>::Scalar> {
- public:
-  //  typedef typename TensorEvaluator<Expr, Device>::Dimensions Dimensions;
-  typedef typename TensorEvaluator<Expr, Device>::Scalar Scalar;
-
-  TensorLazyEvaluatorReadOnly(const Expr& expr, const Device& device) : m_impl(expr, device), m_dummy(Scalar(0)) {
-    m_dims = m_impl.dimensions();
-    m_impl.evalSubExprsIfNeeded(NULL);
-  }
-  virtual ~TensorLazyEvaluatorReadOnly() {
-    m_impl.cleanup();
-  }
-
-  EIGEN_DEVICE_FUNC virtual const Dimensions& dimensions() const {
-    return m_dims;
-  }
-  EIGEN_DEVICE_FUNC virtual const Scalar* data() const {
-    return m_impl.data();
-  }
-
-  EIGEN_DEVICE_FUNC virtual const Scalar coeff(DenseIndex index) const {
-    return m_impl.coeff(index);
-  }
-  EIGEN_DEVICE_FUNC virtual Scalar& coeffRef(DenseIndex /*index*/) {
-    eigen_assert(false && "can't reference the coefficient of a rvalue");
-    return m_dummy;
-  };
-
- protected:
-  TensorEvaluator<Expr, Device> m_impl;
-  Dimensions m_dims;
-  Scalar m_dummy;
-};
-
-template <typename Dimensions, typename Expr, typename Device>
-class TensorLazyEvaluatorWritable : public TensorLazyEvaluatorReadOnly<Dimensions, Expr, Device> {
- public:
-  typedef TensorLazyEvaluatorReadOnly<Dimensions, Expr, Device> Base;
-  typedef typename Base::Scalar Scalar;
-
-  TensorLazyEvaluatorWritable(const Expr& expr, const Device& device) : Base(expr, device) {
-  }
-  virtual ~TensorLazyEvaluatorWritable() {
-  }
-
-  EIGEN_DEVICE_FUNC virtual Scalar& coeffRef(DenseIndex index) {
-    return this->m_impl.coeffRef(index);
-  }
-};
-
-template <typename Dimensions, typename Expr, typename Device>
-class TensorLazyEvaluator : public internal::conditional<bool(internal::is_lvalue<Expr>::value),
-                            TensorLazyEvaluatorWritable<Dimensions, Expr, Device>,
-                            TensorLazyEvaluatorReadOnly<Dimensions, const Expr, Device> >::type {
- public:
-  typedef typename internal::conditional<bool(internal::is_lvalue<Expr>::value),
-                                         TensorLazyEvaluatorWritable<Dimensions, Expr, Device>,
-                                         TensorLazyEvaluatorReadOnly<Dimensions, const Expr, Device> >::type Base;
-  typedef typename Base::Scalar Scalar;
-
-  TensorLazyEvaluator(const Expr& expr, const Device& device) : Base(expr, device) {
-  }
-  virtual ~TensorLazyEvaluator() {
-  }
-};
-
-}  // namespace internal
-
-
-/** \class TensorRef
-  * \ingroup CXX11_Tensor_Module
-  *
-  * \brief A reference to a tensor expression
-  * The expression will be evaluated lazily (as much as possible).
-  *
-  */
-template<typename PlainObjectType> class TensorRef : public TensorBase<TensorRef<PlainObjectType> >
-{
-  public:
-    typedef TensorRef<PlainObjectType> Self;
-    typedef typename PlainObjectType::Base Base;
-    typedef typename Eigen::internal::nested<Self>::type Nested;
-    typedef typename internal::traits<PlainObjectType>::StorageKind StorageKind;
-    typedef typename internal::traits<PlainObjectType>::Index Index;
-    typedef typename internal::traits<PlainObjectType>::Scalar Scalar;
-    typedef typename internal::packet_traits<Scalar>::type Packet;
-    typedef typename NumTraits<Scalar>::Real RealScalar;
-    typedef typename Base::CoeffReturnType CoeffReturnType;
-    typedef Scalar* PointerType;
-    typedef PointerType PointerArgType;
-
-    static const Index NumIndices = PlainObjectType::NumIndices;
-    typedef typename PlainObjectType::Dimensions Dimensions;
-
-    enum {
-      IsAligned = false,
-      PacketAccess = false,
-      BlockAccess = false,
-      Layout = PlainObjectType::Layout,
-      CoordAccess = false,  // to be implemented
-    };
-
-    EIGEN_STRONG_INLINE TensorRef() : m_evaluator(NULL) {
-    }
-
-    template <typename Expression>
-    EIGEN_STRONG_INLINE TensorRef(Expression& expr) : m_evaluator(new internal::TensorLazyEvaluator<Dimensions, Expression, DefaultDevice>(expr, DefaultDevice())) {
-      m_evaluator->incrRefCount();
-    }
-
-    template <typename Expression>
-    EIGEN_STRONG_INLINE TensorRef(const Expression& expr) : m_evaluator(new internal::TensorLazyEvaluator<Dimensions, const Expression, DefaultDevice>(expr, DefaultDevice())) {
-      m_evaluator->incrRefCount();
-    }
-
-    template <typename Expression>
-    EIGEN_STRONG_INLINE TensorRef& operator = (const Expression& expr) {
-      unrefEvaluator();
-      m_evaluator = new internal::TensorLazyEvaluator<Dimensions, Expression, DefaultDevice>(expr, DefaultDevice());
-      m_evaluator->incrRefCount();
-      return *this;
-    }
-
-    ~TensorRef() {
-      unrefEvaluator();
-    }
-
-    TensorRef(const TensorRef& other) : m_evaluator(other.m_evaluator) {
-      eigen_assert(m_evaluator->refCount() > 0);
-      m_evaluator->incrRefCount();
-    }
-
-    TensorRef(TensorRef& other) : m_evaluator(other.m_evaluator) {
-      eigen_assert(m_evaluator->refCount() > 0);
-      m_evaluator->incrRefCount();
-    }
-
-    TensorRef& operator = (const TensorRef& other) {
-      if (this != &other) {
-        unrefEvaluator();
-        m_evaluator = other.m_evaluator;
-        eigen_assert(m_evaluator->refCount() > 0);
-        m_evaluator->incrRefCount();
-      }
-      return *this;
-    }
-
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE Index rank() const { return m_evaluator->dimensions().size(); }
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE Index dimension(Index n) const { return m_evaluator->dimensions()[n]; }
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_evaluator->dimensions(); }
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE Index size() const { return m_evaluator->dimensions().TotalSize(); }
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE const Scalar* data() const { return m_evaluator->data(); }
-
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE const Scalar operator()(Index index) const
-    {
-      return m_evaluator->coeff(index);
-    }
-
-#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
-    template<typename... IndexTypes> EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE const Scalar operator()(Index firstIndex, IndexTypes... otherIndices) const
-    {
-      const std::size_t NumIndices = (sizeof...(otherIndices) + 1);
-      const array<Index, NumIndices> indices{{firstIndex, otherIndices...}};
-      return coeff(indices);
-    }
-    template<typename... IndexTypes> EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE Scalar& coeffRef(Index firstIndex, IndexTypes... otherIndices)
-    {
-      const std::size_t NumIndices = (sizeof...(otherIndices) + 1);
-      const array<Index, NumIndices> indices{{firstIndex, otherIndices...}};
-      return coeffRef(indices);
-    }
-#else
-
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE const Scalar operator()(Index i0, Index i1) const
-    {
-      array<Index, 2> indices;
-      indices[0] = i0;
-      indices[1] = i1;
-      return coeff(indices);
-    }
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE const Scalar operator()(Index i0, Index i1, Index i2) const
-    {
-      array<Index, 3> indices;
-      indices[0] = i0;
-      indices[1] = i1;
-      indices[2] = i2;
-      return coeff(indices);
-    }
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE const Scalar operator()(Index i0, Index i1, Index i2, Index i3) const
-    {
-      array<Index, 4> indices;
-      indices[0] = i0;
-      indices[1] = i1;
-      indices[2] = i2;
-      indices[3] = i3;
-      return coeff(indices);
-    }
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE const Scalar operator()(Index i0, Index i1, Index i2, Index i3, Index i4) const
-    {
-      array<Index, 5> indices;
-      indices[0] = i0;
-      indices[1] = i1;
-      indices[2] = i2;
-      indices[3] = i3;
-      indices[4] = i4;
-      return coeff(indices);
-    }
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE Scalar& coeffRef(Index i0, Index i1)
-    {
-      array<Index, 2> indices;
-      indices[0] = i0;
-      indices[1] = i1;
-      return coeffRef(indices);
-    }
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE Scalar& coeffRef(Index i0, Index i1, Index i2)
-    {
-      array<Index, 3> indices;
-      indices[0] = i0;
-      indices[1] = i1;
-      indices[2] = i2;
-      return coeffRef(indices);
-    }
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE Scalar& operator()(Index i0, Index i1, Index i2, Index i3)
-    {
-      array<Index, 4> indices;
-      indices[0] = i0;
-      indices[1] = i1;
-      indices[2] = i2;
-      indices[3] = i3;
-      return coeffRef(indices);
-    }
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE Scalar& coeffRef(Index i0, Index i1, Index i2, Index i3, Index i4)
-    {
-      array<Index, 5> indices;
-      indices[0] = i0;
-      indices[1] = i1;
-      indices[2] = i2;
-      indices[3] = i3;
-      indices[4] = i4;
-      return coeffRef(indices);
-    }
-#endif
-
-    template <std::size_t NumIndices> EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE const Scalar coeff(const array<Index, NumIndices>& indices) const
-    {
-      const Dimensions& dims = this->dimensions();
-      Index index = 0;
-      if (PlainObjectType::Options & RowMajor) {
-        index += indices[0];
-        for (int i = 1; i < NumIndices; ++i) {
-          index = index * dims[i] + indices[i];
-        }
-      } else {
-        index += indices[NumIndices-1];
-        for (int i = NumIndices-2; i >= 0; --i) {
-          index = index * dims[i] + indices[i];
-        }
-      }
-      return m_evaluator->coeff(index);
-    }
-    template <std::size_t NumIndices> EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE Scalar& coeffRef(const array<Index, NumIndices>& indices)
-    {
-      const Dimensions& dims = this->dimensions();
-      Index index = 0;
-      if (PlainObjectType::Options & RowMajor) {
-        index += indices[0];
-        for (int i = 1; i < NumIndices; ++i) {
-          index = index * dims[i] + indices[i];
-        }
-      } else {
-        index += indices[NumIndices-1];
-        for (int i = NumIndices-2; i >= 0; --i) {
-          index = index * dims[i] + indices[i];
-        }
-      }
-      return m_evaluator->coeffRef(index);
-    }
-
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE const Scalar coeff(Index index) const
-    {
-      return m_evaluator->coeff(index);
-    }
-
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE Scalar& coeffRef(Index index)
-    {
-      return m_evaluator->coeffRef(index);
-    }
-
-  private:
-    EIGEN_STRONG_INLINE void unrefEvaluator() {
-      if (m_evaluator) {
-        m_evaluator->decrRefCount();
-        if (m_evaluator->refCount() == 0) {
-          delete m_evaluator;
-        }
-      }
-    }
-
-  internal::TensorLazyBaseEvaluator<Dimensions, Scalar>* m_evaluator;
-};
-
-
-// evaluator for rvalues
-template<typename Derived, typename Device>
-struct TensorEvaluator<const TensorRef<Derived>, Device>
-{
-  typedef typename Derived::Index Index;
-  typedef typename Derived::Scalar Scalar;
-  typedef typename Derived::Packet Packet;
-  typedef typename Derived::Scalar CoeffReturnType;
-  typedef typename Derived::Packet PacketReturnType;
-  typedef typename Derived::Dimensions Dimensions;
-
-  enum {
-    IsAligned = false,
-    PacketAccess = false,
-    BlockAccess = false,
-    Layout = TensorRef<Derived>::Layout,
-    CoordAccess = false,  // to be implemented
-  };
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const TensorRef<Derived>& m, const Device&)
-      : m_ref(m)
-  { }
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_ref.dimensions(); }
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar*) {
-    return true;
-  }
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() { }
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE CoeffReturnType coeff(Index index) const {
-    return m_ref.coeff(index);
-  }
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar& coeffRef(Index index) {
-    return m_ref.coeffRef(index);
-  }
-
-  EIGEN_DEVICE_FUNC Scalar* data() const { return m_ref.data(); }
-
- protected:
-  TensorRef<Derived> m_ref;
-};
-
-
-// evaluator for lvalues
-template<typename Derived, typename Device>
-struct TensorEvaluator<TensorRef<Derived>, Device> : public TensorEvaluator<const TensorRef<Derived>, Device>
-{
-  typedef typename Derived::Index Index;
-  typedef typename Derived::Scalar Scalar;
-  typedef typename Derived::Packet Packet;
-  typedef typename Derived::Scalar CoeffReturnType;
-  typedef typename Derived::Packet PacketReturnType;
-  typedef typename Derived::Dimensions Dimensions;
-
-  typedef TensorEvaluator<const TensorRef<Derived>, Device> Base;
-
-  enum {
-    IsAligned = false,
-    PacketAccess = false,
-    BlockAccess = false,
-  };
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(TensorRef<Derived>& m, const Device& d) : Base(m, d)
-  { }
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar& coeffRef(Index index) {
-    return this->m_ref.coeffRef(index);
-  }
-};
-
-
-
-} // end namespace Eigen
-
-#endif // EIGEN_CXX11_TENSOR_TENSOR_REF_H