| // This file is part of Eigen, a lightweight C++ template library |
| // for linear algebra. |
| // |
| // Copyright (C) 2008-2010 Gael Guennebaud <g.gael@free.fr> |
| // Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com> |
| // |
| // Eigen is free software; you can redistribute it and/or |
| // modify it under the terms of the GNU Lesser General Public |
| // License as published by the Free Software Foundation; either |
| // version 3 of the License, or (at your option) any later version. |
| // |
| // Alternatively, you can redistribute it and/or |
| // modify it under the terms of the GNU General Public License as |
| // published by the Free Software Foundation; either version 2 of |
| // the License, or (at your option) any later version. |
| // |
| // Eigen is distributed in the hope that it will be useful, but WITHOUT ANY |
| // WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS |
| // FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the |
| // GNU General Public License for more details. |
| // |
| // You should have received a copy of the GNU Lesser General Public |
| // License and a copy of the GNU General Public License along with |
| // Eigen. If not, see <http://www.gnu.org/licenses/>. |
| |
| #ifndef EIGEN_CWISE_UNARY_OP_H |
| #define EIGEN_CWISE_UNARY_OP_H |
| |
| /** \class CwiseUnaryOp |
| * |
| * \brief Generic expression of a coefficient-wise unary operator of a matrix or a vector |
| * |
| * \param UnaryOp template functor implementing the operator |
| * \param MatrixType the type of the matrix we are applying the unary operator |
| * |
| * This class represents an expression of a generic unary operator of a matrix or a vector. |
| * It is the return type of the unary operator-, of a matrix or a vector, and most |
| * of the time this is the only way it is used. |
| * |
| * \sa MatrixBase::unaryExpr(const CustomUnaryOp &) const, class CwiseBinaryOp, class CwiseNullaryOp |
| */ |
| template<typename UnaryOp, typename MatrixType> |
| struct ei_traits<CwiseUnaryOp<UnaryOp, MatrixType> > |
| : ei_traits<MatrixType> |
| { |
| typedef typename ei_result_of< |
| UnaryOp(typename MatrixType::Scalar) |
| >::type Scalar; |
| typedef typename MatrixType::Nested MatrixTypeNested; |
| typedef typename ei_unref<MatrixTypeNested>::type _MatrixTypeNested; |
| enum { |
| Flags = _MatrixTypeNested::Flags & ( |
| HereditaryBits | LinearAccessBit | AlignedBit |
| | (ei_functor_traits<UnaryOp>::PacketAccess ? PacketAccessBit : 0)), |
| CoeffReadCost = _MatrixTypeNested::CoeffReadCost + ei_functor_traits<UnaryOp>::Cost |
| }; |
| }; |
| |
| template<typename UnaryOp, typename MatrixType, typename StorageKind> |
| class CwiseUnaryOpImpl; |
| |
| template<typename UnaryOp, typename MatrixType> |
| class CwiseUnaryOp : ei_no_assignment_operator, |
| public CwiseUnaryOpImpl<UnaryOp, MatrixType, typename ei_traits<MatrixType>::StorageKind> |
| { |
| public: |
| |
| typedef typename CwiseUnaryOpImpl<UnaryOp, MatrixType,typename ei_traits<MatrixType>::StorageKind>::Base Base; |
| EIGEN_GENERIC_PUBLIC_INTERFACE_NEW(CwiseUnaryOp) |
| |
| inline CwiseUnaryOp(const MatrixType& mat, const UnaryOp& func = UnaryOp()) |
| : m_matrix(mat), m_functor(func) {} |
| |
| EIGEN_STRONG_INLINE int rows() const { return m_matrix.rows(); } |
| EIGEN_STRONG_INLINE int cols() const { return m_matrix.cols(); } |
| |
| /** \returns the functor representing the unary operation */ |
| const UnaryOp& functor() const { return m_functor; } |
| |
| /** \returns the nested expression */ |
| const typename ei_cleantype<typename MatrixType::Nested>::type& |
| nestedExpression() const { return m_matrix; } |
| |
| /** \returns the nested expression */ |
| typename ei_cleantype<typename MatrixType::Nested>::type& |
| nestedExpression() { return m_matrix.const_cast_derived(); } |
| |
| protected: |
| const typename MatrixType::Nested m_matrix; |
| const UnaryOp m_functor; |
| }; |
| |
| // This is the generic implementation for dense storage. |
| // It can be used for any matrix types implementing the dense concept. |
| template<typename UnaryOp, typename MatrixType> |
| class CwiseUnaryOpImpl<UnaryOp,MatrixType,Dense> |
| : public MatrixType::template MakeBase< CwiseUnaryOp<UnaryOp, MatrixType> >::Type |
| { |
| typedef CwiseUnaryOp<UnaryOp, MatrixType> Derived; |
| |
| public: |
| |
| typedef typename MatrixType::template MakeBase< CwiseUnaryOp<UnaryOp, MatrixType> >::Type Base; |
| EIGEN_DENSE_PUBLIC_INTERFACE(Derived) |
| |
| EIGEN_STRONG_INLINE const Scalar coeff(int row, int col) const |
| { |
| return derived().functor()(derived().nestedExpression().coeff(row, col)); |
| } |
| |
| template<int LoadMode> |
| EIGEN_STRONG_INLINE PacketScalar packet(int row, int col) const |
| { |
| return derived().functor().packetOp(derived().nestedExpression().template packet<LoadMode>(row, col)); |
| } |
| |
| EIGEN_STRONG_INLINE const Scalar coeff(int index) const |
| { |
| return derived().functor()(derived().nestedExpression().coeff(index)); |
| } |
| |
| template<int LoadMode> |
| EIGEN_STRONG_INLINE PacketScalar packet(int index) const |
| { |
| return derived().functor().packetOp(derived().nestedExpression().template packet<LoadMode>(index)); |
| } |
| }; |
| |
| #endif // EIGEN_CWISE_UNARY_OP_H |