1 files changed, 0 insertions, 250 deletions
diff --git a/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorTrueIndices.h b/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorTrueIndices.h
deleted file mode 100644
index ec1d44e6a6..0000000000
--- a/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorTrueIndices.h
+++ /dev/null
@@ -1,250 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2015 Eugene Brevdo <ebrevdo@google.com>
-//                    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_TRUE_INDICES_H
-#define EIGEN_CXX11_TENSOR_TENSOR_TRUE_INDICES_H
-namespace Eigen {
-
-/** \class TensorTrueIndices
-  * \ingroup CXX11_Tensor_Module
-  *
-  * \brief Tensor provide indices of true values class.
-  *
-  */
-namespace internal {
-template<typename XprType>
-struct traits<TensorTrueIndicesOp<XprType> > : public traits<XprType>
-{
-  typedef DenseIndex Scalar;
-  typedef DenseIndex CoeffReturnType;
-  typedef traits<XprType> XprTraits;
-  //typedef typename packet_traits<Scalar>::type Packet;
-  typedef typename XprTraits::StorageKind StorageKind;
-  typedef typename XprTraits::Index Index;
-  typedef typename XprType::Nested Nested;
-  typedef typename remove_reference<Nested>::type _Nested;
-  static const int NumDimensions = 2; // XprTraits::NumDimensions;
-  static const int Layout = XprTraits::Layout;
-};
-
-template<typename XprType>
-struct eval<TensorTrueIndicesOp<XprType>, Eigen::Dense>
-{
-  typedef const TensorTrueIndicesOp<XprType>& type;
-};
-
-template<typename XprType>
-struct nested<TensorTrueIndicesOp<XprType>, 1,
-            typename eval<TensorTrueIndicesOp<XprType> >::type>
-{
-  typedef TensorTrueIndicesOp<XprType> type;
-};
-
-}  // end namespace internal
-
-template<typename XprType>
-class TensorTrueIndicesOp : public TensorBase<TensorTrueIndicesOp<XprType>, WriteAccessors>
-{
-  public:
-    typedef typename Eigen::internal::traits<TensorTrueIndicesOp>::Scalar Scalar;
-    //typedef typename Eigen::internal::traits<TensorTrueIndicesOp>::Packet Packet;
-    typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
-    typedef typename Eigen::internal::traits<TensorTrueIndicesOp>::CoeffReturnType CoeffReturnType;
-    typedef typename internal::packet_traits<CoeffReturnType>::type PacketReturnType;
-    typedef typename Eigen::internal::nested<TensorTrueIndicesOp>::type Nested;
-    typedef typename Eigen::internal::traits<TensorTrueIndicesOp>::StorageKind
-                                                                    StorageKind;
-    typedef typename Eigen::internal::traits<TensorTrueIndicesOp>::Index Index;
-
-    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorTrueIndicesOp(
-        const XprType& expr, const CoeffReturnType& not_found = -1)
-        : m_xpr(expr), m_not_found(not_found) {
-    }
-
-    EIGEN_DEVICE_FUNC
-    const CoeffReturnType& not_found() const { return m_not_found; }
-
-    EIGEN_DEVICE_FUNC
-    const typename internal::remove_all<typename XprType::Nested>::type&
-    expression() const { return m_xpr; }
-
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE TensorTrueIndicesOp& operator = (const TensorTrueIndicesOp& other)
-    {
-      typedef TensorAssignOp<TensorTrueIndicesOp, const TensorTrueIndicesOp> Assign;
-      Assign assign(*this, other);
-      internal::TensorExecutor<const Assign, DefaultDevice>::run(
-          assign, DefaultDevice());
-      return *this;
-    }
-
-    template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE TensorTrueIndicesOp& operator = (const OtherDerived& other)
-    {
-      typedef TensorAssignOp<TensorTrueIndicesOp, const OtherDerived> Assign;
-      Assign assign(*this, other);
-      internal::TensorExecutor<const Assign, DefaultDevice>::run(
-          assign, DefaultDevice());
-      return *this;
-    }
-
-  protected:
-    typename XprType::Nested m_xpr;
-    CoeffReturnType m_not_found;
-};
-
-// Eval as rvalue
-template<typename ArgType, typename Device>
-struct TensorEvaluator<const TensorTrueIndicesOp<ArgType>, Device>
-{
-  typedef TensorTrueIndicesOp<ArgType> XprType;
-  typedef typename XprType::Index InputIndex;
-  typedef typename XprType::Index Index;
-  static const int NumDims = 2;
-  typedef DSizes<Index, 2> Dimensions;
-  typedef typename TensorEvaluator<ArgType, Device>::Dimensions InputDimensions;
-  static const int NumInputDims = internal::array_size<InputDimensions>::value;
-
-  enum {
-    IsAligned = true,
-    PacketAccess = TensorEvaluator<ArgType, Device>::PacketAccess,
-    BlockAccess = false,
-    Layout = TensorEvaluator<ArgType, Device>::Layout,
-    CoordAccess = false,  // to be implemented
-  };
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op,
-                                                        const Device& device)
-      : m_impl(op.expression(), device), m_not_found(op.not_found())
-  {
-    // Store original dimensions
-    m_orig_dimensions = m_impl.dimensions();
-
-    // Calculate output dimensions
-    m_dimensions[0] = m_orig_dimensions.TotalSize();
-    m_dimensions[1] = NumInputDims;
-
-    // Calculate strides of input expression
-    if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) {
-      m_strides[0] = 1;
-      for (int i = 1; i < NumInputDims; ++i) {
-        m_strides[i] = m_strides[i-1] * m_orig_dimensions[i-1];
-      }
-    } else {
-      m_strides[NumInputDims-1] = 1;
-      for (int i = NumInputDims - 2; i >= 0; --i) {
-        m_strides[i] = m_strides[i+1] * m_orig_dimensions[i+1];
-      }
-    }
-  }
-
-  typedef typename XprType::Scalar Scalar;
-  typedef typename XprType::CoeffReturnType CoeffReturnType;
-  typedef typename XprType::PacketReturnType PacketReturnType;
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
-  const Dimensions& dimensions() const { return m_dimensions; }
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar*) {
-    m_impl.evalSubExprsIfNeeded(NULL);
-    return true;
-  }
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() {
-    m_impl.cleanup();
-  }
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE InputIndex origIndices(
-      Index index) const {
-    eigen_assert(index < dimensions().TotalSize());
-    Index inputIndex = 0;
-    if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) {
-      inputIndex = index % m_dimensions[0];
-    } else {
-      inputIndex = index / m_dimensions[1];
-    }
-    return inputIndex;
-  }
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE int whichDim(
-      Index index) const {
-    eigen_assert(index < dimensions().TotalSize());
-    int inputDim = 0;
-    if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) {
-      inputDim = index / m_dimensions[0];
-    } else {
-      inputDim = index % m_dimensions[1];
-    }
-    return inputDim;
-  }
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE CoeffReturnType origDim(
-      int dim, InputIndex index) const {
-    eigen_assert(index < m_orig_dimensions.TotalSize());
-    eigen_assert(dim > -1 && dim < m_orig_dimensions.size());
-    if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) {
-      for (int i = NumInputDims - 1; i > 0; --i) {
-        Index idx = index / m_strides[i];
-        if (i == dim) return idx;  // Found our dimension
-        index -= idx * m_strides[i];
-      }
-      return index;
-    } else {
-      for (int i = 0; i < NumInputDims - 1; ++i) {
-        Index idx = index / m_strides[i];
-        if (i == dim) return idx;  // Found our dimension
-        index -= idx * m_strides[i];
-      }
-      return index;
-    }
-  }
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE CoeffReturnType coeff(
-      Index index) const  {
-    InputIndex orig_index = origIndices(index);
-    if (m_impl.coeff(orig_index))
-      return origDim(whichDim(index), orig_index);
-    else {
-      return m_not_found;
-    }
-  }
-
-  template<int LoadMode>
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
-  PacketReturnType packet(Index index) const
-  {
-    const int packetSize = internal::unpacket_traits<PacketReturnType>::size;
-    EIGEN_STATIC_ASSERT(packetSize > 1, YOU_MADE_A_PROGRAMMING_MISTAKE)
-    eigen_assert(index+packetSize-1 < dimensions().TotalSize());
-
-    // TODO(ndjaitly): write a better packing routine that uses
-    // local structure.
-    EIGEN_ALIGN_DEFAULT typename internal::remove_const<CoeffReturnType>::type
-                                                            values[packetSize];
-    for (int i = 0; i < packetSize; ++i) {
-      values[i] = coeff(index+i);
-    }
-    PacketReturnType rslt = internal::pload<PacketReturnType>(values);
-    return rslt;
-  }
-
-  EIGEN_DEVICE_FUNC Scalar* data() const { return NULL; }
-
- protected:
-  InputDimensions m_orig_dimensions;
-  Dimensions m_dimensions;
-  TensorEvaluator<ArgType, Device> m_impl;
-  array<Index, NumInputDims> m_strides;
-  CoeffReturnType m_not_found;
-};
-
-}  // end namespace Eigen
-
-#endif // EIGEN_CXX11_TENSOR_TENSOR_TRUE_INDICES_H