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-// 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/.
-
-#ifndef EIGEN_CWISE_BINARY_OP_H
-#define EIGEN_CWISE_BINARY_OP_H
-
-namespace Eigen {
-
-/** \class CwiseBinaryOp
- * \ingroup Core_Module
- *
- * \brief Generic expression where a coefficient-wise binary operator is applied to two expressions
- *
- * \param BinaryOp template functor implementing the operator
- * \param Lhs the type of the left-hand side
- * \param Rhs the type of the right-hand side
- *
- * This class represents an expression where a coefficient-wise binary operator is applied to two expressions.
- * It is the return type of binary operators, by which we mean only those binary operators where
- * both the left-hand side and the right-hand side are Eigen expressions.
- * For example, the return type of matrix1+matrix2 is a CwiseBinaryOp.
- *
- * Most of the time, this is the only way that it is used, so you typically don't have to name
- * CwiseBinaryOp types explicitly.
- *
- * \sa MatrixBase::binaryExpr(const MatrixBase<OtherDerived> &,const CustomBinaryOp &) const, class CwiseUnaryOp, class CwiseNullaryOp
- */
-
-namespace internal {
-template<typename BinaryOp, typename Lhs, typename Rhs>
-struct traits<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
-{
- // we must not inherit from traits<Lhs> since it has
- // the potential to cause problems with MSVC
- typedef typename remove_all<Lhs>::type Ancestor;
- typedef typename traits<Ancestor>::XprKind XprKind;
- enum {
- RowsAtCompileTime = traits<Ancestor>::RowsAtCompileTime,
- ColsAtCompileTime = traits<Ancestor>::ColsAtCompileTime,
- MaxRowsAtCompileTime = traits<Ancestor>::MaxRowsAtCompileTime,
- MaxColsAtCompileTime = traits<Ancestor>::MaxColsAtCompileTime
- };
-
- // even though we require Lhs and Rhs to have the same scalar type (see CwiseBinaryOp constructor),
- // we still want to handle the case when the result type is different.
- typedef typename result_of<
- BinaryOp(
- typename Lhs::Scalar,
- typename Rhs::Scalar
- )
- >::type Scalar;
- typedef typename promote_storage_type<typename traits<Lhs>::StorageKind,
- typename traits<Rhs>::StorageKind>::ret StorageKind;
- typedef typename promote_index_type<typename traits<Lhs>::Index,
- typename traits<Rhs>::Index>::type Index;
- typedef typename Lhs::Nested LhsNested;
- typedef typename Rhs::Nested RhsNested;
- typedef typename remove_reference<LhsNested>::type _LhsNested;
- typedef typename remove_reference<RhsNested>::type _RhsNested;
- enum {
- LhsCoeffReadCost = _LhsNested::CoeffReadCost,
- RhsCoeffReadCost = _RhsNested::CoeffReadCost,
- LhsFlags = _LhsNested::Flags,
- RhsFlags = _RhsNested::Flags,
- SameType = is_same<typename _LhsNested::Scalar,typename _RhsNested::Scalar>::value,
- StorageOrdersAgree = (int(Lhs::Flags)&RowMajorBit)==(int(Rhs::Flags)&RowMajorBit),
- Flags0 = (int(LhsFlags) | int(RhsFlags)) & (
- HereditaryBits
- | (int(LhsFlags) & int(RhsFlags) &
- ( AlignedBit
- | (StorageOrdersAgree ? LinearAccessBit : 0)
- | (functor_traits<BinaryOp>::PacketAccess && StorageOrdersAgree && SameType ? PacketAccessBit : 0)
- )
- )
- ),
- Flags = (Flags0 & ~RowMajorBit) | (LhsFlags & RowMajorBit),
- CoeffReadCost = LhsCoeffReadCost + RhsCoeffReadCost + functor_traits<BinaryOp>::Cost
- };
-};
-} // end namespace internal
-
-// we require Lhs and Rhs to have the same scalar type. Currently there is no example of a binary functor
-// that would take two operands of different types. If there were such an example, then this check should be
-// moved to the BinaryOp functors, on a per-case basis. This would however require a change in the BinaryOp functors, as
-// currently they take only one typename Scalar template parameter.
-// It is tempting to always allow mixing different types but remember that this is often impossible in the vectorized paths.
-// So allowing mixing different types gives very unexpected errors when enabling vectorization, when the user tries to
-// add together a float matrix and a double matrix.
-#define EIGEN_CHECK_BINARY_COMPATIBILIY(BINOP,LHS,RHS) \
- EIGEN_STATIC_ASSERT((internal::functor_is_product_like<BINOP>::ret \
- ? int(internal::scalar_product_traits<LHS, RHS>::Defined) \
- : int(internal::is_same<LHS, RHS>::value)), \
- YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
-
-template<typename BinaryOp, typename Lhs, typename Rhs, typename StorageKind>
-class CwiseBinaryOpImpl;
-
-template<typename BinaryOp, typename Lhs, typename Rhs>
-class CwiseBinaryOp : internal::no_assignment_operator,
- public CwiseBinaryOpImpl<
- BinaryOp, Lhs, Rhs,
- typename internal::promote_storage_type<typename internal::traits<Lhs>::StorageKind,
- typename internal::traits<Rhs>::StorageKind>::ret>
-{
- public:
-
- typedef typename CwiseBinaryOpImpl<
- BinaryOp, Lhs, Rhs,
- typename internal::promote_storage_type<typename internal::traits<Lhs>::StorageKind,
- typename internal::traits<Rhs>::StorageKind>::ret>::Base Base;
- EIGEN_GENERIC_PUBLIC_INTERFACE(CwiseBinaryOp)
-
- typedef typename internal::nested<Lhs>::type LhsNested;
- typedef typename internal::nested<Rhs>::type RhsNested;
- typedef typename internal::remove_reference<LhsNested>::type _LhsNested;
- typedef typename internal::remove_reference<RhsNested>::type _RhsNested;
-
- EIGEN_DEVICE_FUNC
- EIGEN_STRONG_INLINE CwiseBinaryOp(const Lhs& aLhs, const Rhs& aRhs, const BinaryOp& func = BinaryOp())
- : m_lhs(aLhs), m_rhs(aRhs), m_functor(func)
- {
- EIGEN_CHECK_BINARY_COMPATIBILIY(BinaryOp,typename Lhs::Scalar,typename Rhs::Scalar);
- // require the sizes to match
- EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Lhs, Rhs)
- eigen_assert(aLhs.rows() == aRhs.rows() && aLhs.cols() == aRhs.cols());
- }
-
- EIGEN_DEVICE_FUNC
- EIGEN_STRONG_INLINE Index rows() const {
- // return the fixed size type if available to enable compile time optimizations
- if (internal::traits<typename internal::remove_all<LhsNested>::type>::RowsAtCompileTime==Dynamic)
- return m_rhs.rows();
- else
- return m_lhs.rows();
- }
- EIGEN_DEVICE_FUNC
- EIGEN_STRONG_INLINE Index cols() const {
- // return the fixed size type if available to enable compile time optimizations
- if (internal::traits<typename internal::remove_all<LhsNested>::type>::ColsAtCompileTime==Dynamic)
- return m_rhs.cols();
- else
- return m_lhs.cols();
- }
-
- /** \returns the left hand side nested expression */
- EIGEN_DEVICE_FUNC
- const _LhsNested& lhs() const { return m_lhs; }
- /** \returns the right hand side nested expression */
- EIGEN_DEVICE_FUNC
- const _RhsNested& rhs() const { return m_rhs; }
- /** \returns the functor representing the binary operation */
- EIGEN_DEVICE_FUNC
- const BinaryOp& functor() const { return m_functor; }
-
- protected:
- LhsNested m_lhs;
- RhsNested m_rhs;
- const BinaryOp m_functor;
-};
-
-template<typename BinaryOp, typename Lhs, typename Rhs>
-class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Dense>
- : public internal::dense_xpr_base<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::type
-{
- typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> Derived;
- public:
-
- typedef typename internal::dense_xpr_base<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::type Base;
- EIGEN_DENSE_PUBLIC_INTERFACE( Derived )
-
- EIGEN_DEVICE_FUNC
- EIGEN_STRONG_INLINE const Scalar coeff(Index rowId, Index colId) const
- {
- return derived().functor()(derived().lhs().coeff(rowId, colId),
- derived().rhs().coeff(rowId, colId));
- }
-
- template<int LoadMode>
- EIGEN_STRONG_INLINE PacketScalar packet(Index rowId, Index colId) const
- {
- return derived().functor().packetOp(derived().lhs().template packet<LoadMode>(rowId, colId),
- derived().rhs().template packet<LoadMode>(rowId, colId));
- }
-
- EIGEN_DEVICE_FUNC
- EIGEN_STRONG_INLINE const Scalar coeff(Index index) const
- {
- return derived().functor()(derived().lhs().coeff(index),
- derived().rhs().coeff(index));
- }
-
- template<int LoadMode>
- EIGEN_STRONG_INLINE PacketScalar packet(Index index) const
- {
- return derived().functor().packetOp(derived().lhs().template packet<LoadMode>(index),
- derived().rhs().template packet<LoadMode>(index));
- }
-};
-
-/** replaces \c *this by \c *this - \a other.
- *
- * \returns a reference to \c *this
- */
-template<typename Derived>
-template<typename OtherDerived>
-EIGEN_STRONG_INLINE Derived &
-MatrixBase<Derived>::operator-=(const MatrixBase<OtherDerived> &other)
-{
- SelfCwiseBinaryOp<internal::scalar_difference_op<Scalar>, Derived, OtherDerived> tmp(derived());
- tmp = other.derived();
- return derived();
-}
-
-/** replaces \c *this by \c *this + \a other.
- *
- * \returns a reference to \c *this
- */
-template<typename Derived>
-template<typename OtherDerived>
-EIGEN_STRONG_INLINE Derived &
-MatrixBase<Derived>::operator+=(const MatrixBase<OtherDerived>& other)
-{
- SelfCwiseBinaryOp<internal::scalar_sum_op<Scalar>, Derived, OtherDerived> tmp(derived());
- tmp = other.derived();
- return derived();
-}
-
-} // end namespace Eigen
-
-#endif // EIGEN_CWISE_BINARY_OP_H
-