Deleted the remainder of the local copy of eigen that is shipped with

TensorFlow.

1 files changed, 0 insertions, 134 deletions

diff --git a/third_party/eigen3/Eigen/src/plugins/MatrixCwiseBinaryOps.h b/third_party/eigen3/Eigen/src/plugins/MatrixCwiseBinaryOps.h
deleted file mode 100644
index b9582a5a06..0000000000
--- a/third_party/eigen3/Eigen/src/plugins/MatrixCwiseBinaryOps.h
+++ /dev/null
@@ -1,134 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
-// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@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/.
-
-// This file is a base class plugin containing matrix specifics coefficient wise functions.
-
-/** \returns an expression of the Schur product (coefficient wise product) of *this and \a other
-  *
-  * Example: \include MatrixBase_cwiseProduct.cpp
-  * Output: \verbinclude MatrixBase_cwiseProduct.out
-  *
-  * \sa class CwiseBinaryOp, cwiseAbs2
-  */
-template<typename OtherDerived>
-EIGEN_DEVICE_FUNC
-EIGEN_STRONG_INLINE const EIGEN_CWISE_PRODUCT_RETURN_TYPE(Derived,OtherDerived)
-cwiseProduct(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
-{
-  return EIGEN_CWISE_PRODUCT_RETURN_TYPE(Derived,OtherDerived)(derived(), other.derived());
-}
-
-/** \returns an expression of the coefficient-wise == operator of *this and \a other
-  *
-  * \warning this performs an exact comparison, which is generally a bad idea with floating-point types.
-  * In order to check for equality between two vectors or matrices with floating-point coefficients, it is
-  * generally a far better idea to use a fuzzy comparison as provided by isApprox() and
-  * isMuchSmallerThan().
-  *
-  * Example: \include MatrixBase_cwiseEqual.cpp
-  * Output: \verbinclude MatrixBase_cwiseEqual.out
-  *
-  * \sa cwiseNotEqual(), isApprox(), isMuchSmallerThan()
-  */
-template<typename OtherDerived>
-EIGEN_DEVICE_FUNC
-inline const CwiseBinaryOp<std::equal_to<Scalar>, const Derived, const OtherDerived>
-cwiseEqual(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
-{
-  return CwiseBinaryOp<std::equal_to<Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
-}
-
-/** \returns an expression of the coefficient-wise != operator of *this and \a other
-  *
-  * \warning this performs an exact comparison, which is generally a bad idea with floating-point types.
-  * In order to check for equality between two vectors or matrices with floating-point coefficients, it is
-  * generally a far better idea to use a fuzzy comparison as provided by isApprox() and
-  * isMuchSmallerThan().
-  *
-  * Example: \include MatrixBase_cwiseNotEqual.cpp
-  * Output: \verbinclude MatrixBase_cwiseNotEqual.out
-  *
-  * \sa cwiseEqual(), isApprox(), isMuchSmallerThan()
-  */
-template<typename OtherDerived>
-EIGEN_DEVICE_FUNC
-inline const CwiseBinaryOp<std::not_equal_to<Scalar>, const Derived, const OtherDerived>
-cwiseNotEqual(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
-{
-  return CwiseBinaryOp<std::not_equal_to<Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
-}
-
-/** \returns an expression of the coefficient-wise min of *this and \a other
-  *
-  * Example: \include MatrixBase_cwiseMin.cpp
-  * Output: \verbinclude MatrixBase_cwiseMin.out
-  *
-  * \sa class CwiseBinaryOp, max()
-  */
-template<typename OtherDerived>
-EIGEN_DEVICE_FUNC
-EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar>, const Derived, const OtherDerived>
-cwiseMin(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
-{
-  return CwiseBinaryOp<internal::scalar_min_op<Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
-}
-
-/** \returns an expression of the coefficient-wise min of *this and scalar \a other
-  *
-  * \sa class CwiseBinaryOp, min()
-  */
-EIGEN_DEVICE_FUNC
-EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar>, const Derived, const ConstantReturnType>
-cwiseMin(const Scalar &other) const
-{
-  return cwiseMin(Derived::Constant(rows(), cols(), other));
-}
-
-/** \returns an expression of the coefficient-wise max of *this and \a other
-  *
-  * Example: \include MatrixBase_cwiseMax.cpp
-  * Output: \verbinclude MatrixBase_cwiseMax.out
-  *
-  * \sa class CwiseBinaryOp, min()
-  */
-template<typename OtherDerived>
-EIGEN_DEVICE_FUNC
-EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar>, const Derived, const OtherDerived>
-cwiseMax(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
-{
-  return CwiseBinaryOp<internal::scalar_max_op<Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
-}
-
-/** \returns an expression of the coefficient-wise max of *this and scalar \a other
-  *
-  * \sa class CwiseBinaryOp, min()
-  */
-EIGEN_DEVICE_FUNC
-EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar>, const Derived, const ConstantReturnType>
-cwiseMax(const Scalar &other) const
-{
-  return cwiseMax(Derived::Constant(rows(), cols(), other));
-}
-
-
-/** \returns an expression of the coefficient-wise quotient of *this and \a other
-  *
-  * Example: \include MatrixBase_cwiseQuotient.cpp
-  * Output: \verbinclude MatrixBase_cwiseQuotient.out
-  *
-  * \sa class CwiseBinaryOp, cwiseProduct(), cwiseInverse()
-  */
-template<typename OtherDerived>
-EIGEN_DEVICE_FUNC
-EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_quotient_op<Scalar>, const Derived, const OtherDerived>
-cwiseQuotient(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
-{
-  return CwiseBinaryOp<internal::scalar_quotient_op<Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
-}