1 // This file is part of Eigen, a lightweight C++ template library 2 // for linear algebra. 3 // 4 // Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud (at) inria.fr> 5 // Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1 (at) gmail.com> 6 // 7 // This Source Code Form is subject to the terms of the Mozilla 8 // Public License v. 2.0. If a copy of the MPL was not distributed 9 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. 10 11 #ifndef EIGEN_CWISE_UNARY_OP_H 12 #define EIGEN_CWISE_UNARY_OP_H 13 14 namespace Eigen { 15 16 /** \class CwiseUnaryOp 17 * \ingroup Core_Module 18 * 19 * \brief Generic expression where a coefficient-wise unary operator is applied to an expression 20 * 21 * \param UnaryOp template functor implementing the operator 22 * \param XprType the type of the expression to which we are applying the unary operator 23 * 24 * This class represents an expression where a unary operator is applied to an expression. 25 * It is the return type of all operations taking exactly 1 input expression, regardless of the 26 * presence of other inputs such as scalars. For example, the operator* in the expression 3*matrix 27 * is considered unary, because only the right-hand side is an expression, and its 28 * return type is a specialization of CwiseUnaryOp. 29 * 30 * Most of the time, this is the only way that it is used, so you typically don't have to name 31 * CwiseUnaryOp types explicitly. 32 * 33 * \sa MatrixBase::unaryExpr(const CustomUnaryOp &) const, class CwiseBinaryOp, class CwiseNullaryOp 34 */ 35 36 namespace internal { 37 template<typename UnaryOp, typename XprType> 38 struct traits<CwiseUnaryOp<UnaryOp, XprType> > 39 : traits<XprType> 40 { 41 typedef typename result_of< 42 UnaryOp(typename XprType::Scalar) 43 >::type Scalar; 44 typedef typename XprType::Nested XprTypeNested; 45 typedef typename remove_reference<XprTypeNested>::type _XprTypeNested; 46 enum { 47 Flags = _XprTypeNested::Flags & ( 48 HereditaryBits | LinearAccessBit | AlignedBit 49 | (functor_traits<UnaryOp>::PacketAccess ? PacketAccessBit : 0)), 50 CoeffReadCost = _XprTypeNested::CoeffReadCost + functor_traits<UnaryOp>::Cost 51 }; 52 }; 53 } 54 55 template<typename UnaryOp, typename XprType, typename StorageKind> 56 class CwiseUnaryOpImpl; 57 58 template<typename UnaryOp, typename XprType> 59 class CwiseUnaryOp : internal::no_assignment_operator, 60 public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind> 61 { 62 public: 63 64 typedef typename CwiseUnaryOpImpl<UnaryOp, XprType,typename internal::traits<XprType>::StorageKind>::Base Base; 65 EIGEN_GENERIC_PUBLIC_INTERFACE(CwiseUnaryOp) 66 67 inline CwiseUnaryOp(const XprType& xpr, const UnaryOp& func = UnaryOp()) 68 : m_xpr(xpr), m_functor(func) {} 69 70 EIGEN_STRONG_INLINE Index rows() const { return m_xpr.rows(); } 71 EIGEN_STRONG_INLINE Index cols() const { return m_xpr.cols(); } 72 73 /** \returns the functor representing the unary operation */ 74 const UnaryOp& functor() const { return m_functor; } 75 76 /** \returns the nested expression */ 77 const typename internal::remove_all<typename XprType::Nested>::type& 78 nestedExpression() const { return m_xpr; } 79 80 /** \returns the nested expression */ 81 typename internal::remove_all<typename XprType::Nested>::type& 82 nestedExpression() { return m_xpr.const_cast_derived(); } 83 84 protected: 85 typename XprType::Nested m_xpr; 86 const UnaryOp m_functor; 87 }; 88 89 // This is the generic implementation for dense storage. 90 // It can be used for any expression types implementing the dense concept. 91 template<typename UnaryOp, typename XprType> 92 class CwiseUnaryOpImpl<UnaryOp,XprType,Dense> 93 : public internal::dense_xpr_base<CwiseUnaryOp<UnaryOp, XprType> >::type 94 { 95 public: 96 97 typedef CwiseUnaryOp<UnaryOp, XprType> Derived; 98 typedef typename internal::dense_xpr_base<CwiseUnaryOp<UnaryOp, XprType> >::type Base; 99 EIGEN_DENSE_PUBLIC_INTERFACE(Derived) 100 101 EIGEN_STRONG_INLINE const Scalar coeff(Index row, Index col) const 102 { 103 return derived().functor()(derived().nestedExpression().coeff(row, col)); 104 } 105 106 template<int LoadMode> 107 EIGEN_STRONG_INLINE PacketScalar packet(Index row, Index col) const 108 { 109 return derived().functor().packetOp(derived().nestedExpression().template packet<LoadMode>(row, col)); 110 } 111 112 EIGEN_STRONG_INLINE const Scalar coeff(Index index) const 113 { 114 return derived().functor()(derived().nestedExpression().coeff(index)); 115 } 116 117 template<int LoadMode> 118 EIGEN_STRONG_INLINE PacketScalar packet(Index index) const 119 { 120 return derived().functor().packetOp(derived().nestedExpression().template packet<LoadMode>(index)); 121 } 122 }; 123 124 } // end namespace Eigen 125 126 #endif // EIGEN_CWISE_UNARY_OP_H 127
