1 files changed, 0 insertions, 288 deletions
diff --git a/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorArgMax.h b/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorArgMax.h
deleted file mode 100644
index ee3bf7fe34..0000000000
--- a/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorArgMax.h
+++ /dev/null
@@ -1,288 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2015 Eugene Brevdo <ebrevdo@gmail.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_ARG_MAX_H
-#define EIGEN_CXX11_TENSOR_TENSOR_ARG_MAX_H
-
-namespace Eigen {
-namespace internal {
-
-/** \class TensorIndexTuple
-  * \ingroup CXX11_Tensor_Module
-  *
-  * \brief Tensor + Index Tuple class.
-  *
-  *
-  */
-template<typename XprType>
-struct traits<TensorIndexTupleOp<XprType> > : public traits<XprType>
-{
-  typedef traits<XprType> XprTraits;
-  typedef typename XprTraits::StorageKind StorageKind;
-  typedef typename XprTraits::Index Index;
-  typedef Tuple<Index, typename XprTraits::Scalar> Scalar;
-  typedef typename XprType::Nested Nested;
-  typedef typename remove_reference<Nested>::type _Nested;
-  static const int NumDimensions = XprTraits::NumDimensions;
-  static const int Layout = XprTraits::Layout;
-};
-
-template<typename XprType>
-struct eval<TensorIndexTupleOp<XprType>, Eigen::Dense>
-{
-  typedef const TensorIndexTupleOp<XprType>& type;
-};
-
-template<typename XprType>
-struct nested<TensorIndexTupleOp<XprType>, 1,
-              typename eval<TensorIndexTupleOp<XprType> >::type>
-{
-  typedef TensorIndexTupleOp<XprType> type;
-};
-
-}  // end namespace internal
-
-template<typename XprType>
-class TensorIndexTupleOp : public TensorBase<TensorIndexTupleOp<XprType>, ReadOnlyAccessors>
-{
-  public:
-  typedef typename Eigen::internal::traits<TensorIndexTupleOp>::Scalar Scalar;
-  typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
-  typedef typename Eigen::internal::nested<TensorIndexTupleOp>::type Nested;
-  typedef typename Eigen::internal::traits<TensorIndexTupleOp>::StorageKind StorageKind;
-  typedef typename Eigen::internal::traits<TensorIndexTupleOp>::Index Index;
-  typedef Tuple<Index, typename XprType::CoeffReturnType> CoeffReturnType;
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorIndexTupleOp(const XprType& expr)
-      : m_xpr(expr) {}
-
-  EIGEN_DEVICE_FUNC
-  const typename internal::remove_all<typename XprType::Nested>::type&
-  expression() const { return m_xpr; }
-
-  protected:
-    typename XprType::Nested m_xpr;
-};
-
-// Eval as rvalue
-template<typename ArgType, typename Device>
-struct TensorEvaluator<const TensorIndexTupleOp<ArgType>, Device>
-{
-  typedef TensorIndexTupleOp<ArgType> XprType;
-  typedef typename XprType::Index Index;
-  typedef typename XprType::Scalar Scalar;
-  typedef typename XprType::CoeffReturnType CoeffReturnType;
-
-  typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
-  static const int NumDims = internal::array_size<Dimensions>::value;
-
-  enum {
-    IsAligned = /*TensorEvaluator<ArgType, Device>::IsAligned*/ false,
-    PacketAccess = /*TensorEvaluator<ArgType, Device>::PacketAccess*/ false,
-    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) { }
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const {
-    return m_impl.dimensions();
-  }
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* /*data*/) {
-    m_impl.evalSubExprsIfNeeded(NULL);
-    return true;
-  }
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() {
-    m_impl.cleanup();
-  }
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE CoeffReturnType coeff(Index index) const
-  {
-    return CoeffReturnType(index, m_impl.coeff(index));
-  }
-
-  EIGEN_DEVICE_FUNC Scalar* data() const { return NULL; }
-
- protected:
-  TensorEvaluator<ArgType, Device> m_impl;
-};
-
-namespace internal {
-
-/** \class TensorTupleIndex
-  * \ingroup CXX11_Tensor_Module
-  *
-  * \brief Converts to Tensor<Tuple<Index, Scalar> > and reduces to Tensor<Index>.
-  *
-  */
-template<typename ReduceOp, typename Dims, typename XprType>
-struct traits<TensorTupleReducerOp<ReduceOp, Dims, XprType> > : public traits<XprType>
-{
-  typedef traits<XprType> XprTraits;
-  typedef typename XprTraits::StorageKind StorageKind;
-  typedef typename XprTraits::Index Index;
-  typedef Index Scalar;
-  typedef typename XprType::Nested Nested;
-  typedef typename remove_reference<Nested>::type _Nested;
-  static const int NumDimensions = XprTraits::NumDimensions;
-  static const int Layout = XprTraits::Layout;
-};
-
-template<typename ReduceOp, typename Dims, typename XprType>
-struct eval<TensorTupleReducerOp<ReduceOp, Dims, XprType>, Eigen::Dense>
-{
-  typedef const TensorTupleReducerOp<ReduceOp, Dims, XprType>& type;
-};
-
-template<typename ReduceOp, typename Dims, typename XprType>
-struct nested<TensorTupleReducerOp<ReduceOp, Dims, XprType>, 1,
-              typename eval<TensorTupleReducerOp<ReduceOp, Dims, XprType> >::type>
-{
-  typedef TensorTupleReducerOp<ReduceOp, Dims, XprType> type;
-};
-
-}  // end namespace internal
-
-template<typename ReduceOp, typename Dims, typename XprType>
-class TensorTupleReducerOp : public TensorBase<TensorTupleReducerOp<ReduceOp, Dims, XprType>, ReadOnlyAccessors>
-{
-  public:
-  typedef typename Eigen::internal::traits<TensorTupleReducerOp>::Scalar Scalar;
-  typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
-  typedef typename Eigen::internal::nested<TensorTupleReducerOp>::type Nested;
-  typedef typename Eigen::internal::traits<TensorTupleReducerOp>::StorageKind StorageKind;
-  typedef typename Eigen::internal::traits<TensorTupleReducerOp>::Index Index;
-  typedef Index CoeffReturnType;
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorTupleReducerOp(const XprType& expr,
-                                                          const ReduceOp& reduce_op,
-                                                          const int return_dim,
-                                                          const Dims& reduce_dims)
-      : m_xpr(expr), m_reduce_op(reduce_op), m_return_dim(return_dim), m_reduce_dims(reduce_dims) {}
-
-  EIGEN_DEVICE_FUNC
-  const typename internal::remove_all<typename XprType::Nested>::type&
-  expression() const { return m_xpr; }
-
-  EIGEN_DEVICE_FUNC
-  const ReduceOp& reduce_op() const { return m_reduce_op; }
-
-  EIGEN_DEVICE_FUNC
-  const Dims& reduce_dims() const { return m_reduce_dims; }
-
-  EIGEN_DEVICE_FUNC
-  int return_dim() const { return m_return_dim; }
-
-  protected:
-    typename XprType::Nested m_xpr;
-    const ReduceOp m_reduce_op;
-    const int m_return_dim;
-    const Dims m_reduce_dims;
-};
-
-// Eval as rvalue
-template<typename ReduceOp, typename Dims, typename ArgType, typename Device>
-struct TensorEvaluator<const TensorTupleReducerOp<ReduceOp, Dims, ArgType>, Device>
-{
-  typedef TensorTupleReducerOp<ReduceOp, Dims, ArgType> XprType;
-  typedef typename XprType::Index Index;
-  typedef typename XprType::Scalar Scalar;
-  typedef typename XprType::CoeffReturnType CoeffReturnType;
-  typedef typename TensorIndexTupleOp<ArgType>::CoeffReturnType TupleType;
-  typedef typename TensorEvaluator<const TensorReductionOp<ReduceOp, Dims, const TensorIndexTupleOp<ArgType> >, Device>::Dimensions Dimensions;
-  typedef typename TensorEvaluator<const TensorIndexTupleOp<ArgType> , Device>::Dimensions InputDimensions;
-  static const int NumDims = internal::array_size<InputDimensions>::value;
-  typedef array<Index, NumDims> StrideDims;
-
-  enum {
-    IsAligned = /*TensorEvaluator<ArgType, Device>::IsAligned*/ false,
-    PacketAccess = /*TensorEvaluator<ArgType, Device>::PacketAccess*/ false,
-    BlockAccess = false,
-    Layout = TensorEvaluator<const TensorReductionOp<ReduceOp, Dims, const TensorIndexTupleOp<ArgType> >, Device>::Layout,
-    CoordAccess = false,  // to be implemented
-  };
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& device)
-      : m_orig_impl(op.expression(), device),
-        m_impl(op.expression().index_tuples().reduce(op.reduce_dims(), op.reduce_op()), device),
-        m_return_dim(op.return_dim()),
-        m_strides(gen_strides(m_orig_impl.dimensions())),
-        m_stride_mod(gen_stride_mod(m_orig_impl.dimensions())),
-        m_stride_div(gen_stride_div()) { }
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const {
-    return m_impl.dimensions();
-  }
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* /*data*/) {
-    m_impl.evalSubExprsIfNeeded(NULL);
-    return true;
-  }
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() {
-    m_impl.cleanup();
-  }
-
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE CoeffReturnType coeff(Index index) const {
-    const TupleType v = m_impl.coeff(index);
-    return (m_return_dim < 0) ? v.first : (v.first % m_stride_mod) / m_stride_div;
-  }
-
-  EIGEN_DEVICE_FUNC Scalar* data() const { return NULL; }
-
- private:
-  EIGEN_DEVICE_FUNC StrideDims gen_strides(const InputDimensions& dims) {
-    StrideDims strides;
-    if (m_return_dim < 0) return strides;  // Won't be using these.
-    eigen_assert(m_return_dim < NumDims &&
-                 "Asking to convert index to a dimension outside of the rank");
-
-    // Calculate m_stride_div and m_stride_mod, which are used to
-    // calculate the value of an index w.r.t. the m_return_dim.
-    if (Layout == static_cast<int>(ColMajor)) {
-      strides[0] = 1;
-      for (int i = 1; i < NumDims; ++i) {
-        strides[i] = strides[i-1] * dims[i-1];
-      }
-    } else {
-      strides[NumDims-1] = 1;
-      for (int i = NumDims - 2; i >= 0; --i) {
-        strides[i] = strides[i+1] * dims[i+1];
-      }
-    }
-    return strides;
-  }
-
-  EIGEN_DEVICE_FUNC Index gen_stride_mod(const InputDimensions& dims) {
-    if (Layout == static_cast<int>(ColMajor)) {
-      return (m_return_dim < NumDims - 1) ? m_strides[m_return_dim + 1] : dims.TotalSize();
-    } else {
-      return (m_return_dim > 0) ? m_strides[m_return_dim - 1] : dims.TotalSize();
-    }
-  }
-
-  EIGEN_DEVICE_FUNC Index gen_stride_div() {
-    return m_strides[m_return_dim];
-  }
-
- protected:
-  TensorEvaluator<const TensorIndexTupleOp<ArgType>, Device> m_orig_impl;
-  TensorEvaluator<const TensorReductionOp<ReduceOp, Dims, const TensorIndexTupleOp<ArgType> >, Device> m_impl;
-  const int m_return_dim;
-  const StrideDims m_strides;
-  const Index m_stride_mod;
-  const Index m_stride_div;
-};
-
-} // end namespace Eigen
-
-#endif // EIGEN_CXX11_TENSOR_TENSOR_ARG_MAX_H