127 lines
4.6 KiB
C++
127 lines
4.6 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
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// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#ifndef EIGEN_CWISE_UNARY_OP_H
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#define EIGEN_CWISE_UNARY_OP_H
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namespace Eigen {
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/** \class CwiseUnaryOp
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* \ingroup Core_Module
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*
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* \brief Generic expression where a coefficient-wise unary operator is applied to an expression
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*
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* \param UnaryOp template functor implementing the operator
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* \param XprType the type of the expression to which we are applying the unary operator
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*
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* This class represents an expression where a unary operator is applied to an expression.
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* It is the return type of all operations taking exactly 1 input expression, regardless of the
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* presence of other inputs such as scalars. For example, the operator* in the expression 3*matrix
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* is considered unary, because only the right-hand side is an expression, and its
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* return type is a specialization of CwiseUnaryOp.
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*
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* Most of the time, this is the only way that it is used, so you typically don't have to name
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* CwiseUnaryOp types explicitly.
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*
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* \sa MatrixBase::unaryExpr(const CustomUnaryOp &) const, class CwiseBinaryOp, class CwiseNullaryOp
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*/
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namespace internal {
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template<typename UnaryOp, typename XprType>
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struct traits<CwiseUnaryOp<UnaryOp, XprType> >
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: traits<XprType>
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{
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typedef typename result_of<
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UnaryOp(typename XprType::Scalar)
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>::type Scalar;
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typedef typename XprType::Nested XprTypeNested;
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typedef typename remove_reference<XprTypeNested>::type _XprTypeNested;
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enum {
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Flags = _XprTypeNested::Flags & (
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HereditaryBits | LinearAccessBit | AlignedBit
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| (functor_traits<UnaryOp>::PacketAccess ? PacketAccessBit : 0)),
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CoeffReadCost = EIGEN_ADD_COST(_XprTypeNested::CoeffReadCost, functor_traits<UnaryOp>::Cost)
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};
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};
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}
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template<typename UnaryOp, typename XprType, typename StorageKind>
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class CwiseUnaryOpImpl;
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template<typename UnaryOp, typename XprType>
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class CwiseUnaryOp : internal::no_assignment_operator,
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public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>
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{
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public:
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typedef typename CwiseUnaryOpImpl<UnaryOp, XprType,typename internal::traits<XprType>::StorageKind>::Base Base;
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EIGEN_GENERIC_PUBLIC_INTERFACE(CwiseUnaryOp)
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inline CwiseUnaryOp(const XprType& xpr, const UnaryOp& func = UnaryOp())
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: m_xpr(xpr), m_functor(func) {}
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EIGEN_STRONG_INLINE Index rows() const { return m_xpr.rows(); }
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EIGEN_STRONG_INLINE Index cols() const { return m_xpr.cols(); }
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/** \returns the functor representing the unary operation */
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const UnaryOp& functor() const { return m_functor; }
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/** \returns the nested expression */
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const typename internal::remove_all<typename XprType::Nested>::type&
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nestedExpression() const { return m_xpr; }
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/** \returns the nested expression */
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typename internal::remove_all<typename XprType::Nested>::type&
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nestedExpression() { return m_xpr.const_cast_derived(); }
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protected:
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typename XprType::Nested m_xpr;
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const UnaryOp m_functor;
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};
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// This is the generic implementation for dense storage.
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// It can be used for any expression types implementing the dense concept.
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template<typename UnaryOp, typename XprType>
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class CwiseUnaryOpImpl<UnaryOp,XprType,Dense>
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: public internal::dense_xpr_base<CwiseUnaryOp<UnaryOp, XprType> >::type
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{
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public:
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typedef CwiseUnaryOp<UnaryOp, XprType> Derived;
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typedef typename internal::dense_xpr_base<CwiseUnaryOp<UnaryOp, XprType> >::type Base;
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EIGEN_DENSE_PUBLIC_INTERFACE(Derived)
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EIGEN_STRONG_INLINE const Scalar coeff(Index rowId, Index colId) const
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{
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return derived().functor()(derived().nestedExpression().coeff(rowId, colId));
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}
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template<int LoadMode>
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EIGEN_STRONG_INLINE PacketScalar packet(Index rowId, Index colId) const
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{
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return derived().functor().packetOp(derived().nestedExpression().template packet<LoadMode>(rowId, colId));
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}
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EIGEN_STRONG_INLINE const Scalar coeff(Index index) const
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{
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return derived().functor()(derived().nestedExpression().coeff(index));
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}
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template<int LoadMode>
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EIGEN_STRONG_INLINE PacketScalar packet(Index index) const
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{
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return derived().functor().packetOp(derived().nestedExpression().template packet<LoadMode>(index));
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}
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};
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} // end namespace Eigen
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#endif // EIGEN_CWISE_UNARY_OP_H
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