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Split the huge Functors.h file
This commit is contained in:
Gael Guennebaud
parent
4f572e4c14
commit
03de5c2410
@ -301,7 +301,11 @@ using std::ptrdiff_t;
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#include "src/Core/arch/Default/Settings.h"
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#include "src/Core/Functors.h"
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#include "src/Core/functors/BinaryFunctors.h"
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#include "src/Core/functors/UnaryFunctors.h"
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#include "src/Core/functors/NullaryFunctors.h"
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#include "src/Core/functors/StlFunctors.h"
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#include "src/Core/DenseCoeffsBase.h"
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#include "src/Core/DenseBase.h"
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#include "src/Core/MatrixBase.h"
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File diff suppressed because it is too large
Load Diff
448
Eigen/src/Core/functors/BinaryFunctors.h
Normal file
448
Eigen/src/Core/functors/BinaryFunctors.h
Normal file
@ -0,0 +1,448 @@
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// 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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//
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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_BINARY_FUNCTORS_H
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#define EIGEN_BINARY_FUNCTORS_H
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namespace Eigen {
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namespace internal {
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//---------- associative binary functors ----------
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/** \internal
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* \brief Template functor to compute the sum of two scalars
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*
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* \sa class CwiseBinaryOp, MatrixBase::operator+, class VectorwiseOp, DenseBase::sum()
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*/
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template<typename Scalar> struct scalar_sum_op {
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// typedef Scalar result_type;
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EIGEN_EMPTY_STRUCT_CTOR(scalar_sum_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a, const Scalar& b) const { return a + b; }
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template<typename Packet>
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EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const
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{ return internal::padd(a,b); }
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template<typename Packet>
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EIGEN_STRONG_INLINE const Scalar predux(const Packet& a) const
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{ return internal::predux(a); }
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};
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template<typename Scalar>
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struct functor_traits<scalar_sum_op<Scalar> > {
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enum {
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Cost = NumTraits<Scalar>::AddCost,
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PacketAccess = packet_traits<Scalar>::HasAdd
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};
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};
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/** \internal
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* \brief Template specialization to deprecate the summation of boolean expressions.
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* This is required to solve Bug 426.
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* \sa DenseBase::count(), DenseBase::any(), ArrayBase::cast(), MatrixBase::cast()
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*/
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template<> struct scalar_sum_op<bool> : scalar_sum_op<int> {
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EIGEN_DEPRECATED
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scalar_sum_op() {}
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};
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/** \internal
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* \brief Template functor to compute the product of two scalars
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*
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* \sa class CwiseBinaryOp, Cwise::operator*(), class VectorwiseOp, MatrixBase::redux()
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*/
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template<typename LhsScalar,typename RhsScalar> struct scalar_product_op {
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enum {
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// TODO vectorize mixed product
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Vectorizable = is_same<LhsScalar,RhsScalar>::value && packet_traits<LhsScalar>::HasMul && packet_traits<RhsScalar>::HasMul
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};
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typedef typename scalar_product_traits<LhsScalar,RhsScalar>::ReturnType result_type;
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EIGEN_EMPTY_STRUCT_CTOR(scalar_product_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const LhsScalar& a, const RhsScalar& b) const { return a * b; }
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template<typename Packet>
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EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const
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{ return internal::pmul(a,b); }
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template<typename Packet>
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EIGEN_STRONG_INLINE const result_type predux(const Packet& a) const
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{ return internal::predux_mul(a); }
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};
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template<typename LhsScalar,typename RhsScalar>
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struct functor_traits<scalar_product_op<LhsScalar,RhsScalar> > {
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enum {
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Cost = (NumTraits<LhsScalar>::MulCost + NumTraits<RhsScalar>::MulCost)/2, // rough estimate!
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PacketAccess = scalar_product_op<LhsScalar,RhsScalar>::Vectorizable
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};
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};
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/** \internal
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* \brief Template functor to compute the conjugate product of two scalars
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*
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* This is a short cut for conj(x) * y which is needed for optimization purpose; in Eigen2 support mode, this becomes x * conj(y)
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*/
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template<typename LhsScalar,typename RhsScalar> struct scalar_conj_product_op {
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enum {
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Conj = NumTraits<LhsScalar>::IsComplex
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};
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typedef typename scalar_product_traits<LhsScalar,RhsScalar>::ReturnType result_type;
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EIGEN_EMPTY_STRUCT_CTOR(scalar_conj_product_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const LhsScalar& a, const RhsScalar& b) const
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{ return conj_helper<LhsScalar,RhsScalar,Conj,false>().pmul(a,b); }
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template<typename Packet>
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EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const
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{ return conj_helper<Packet,Packet,Conj,false>().pmul(a,b); }
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};
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template<typename LhsScalar,typename RhsScalar>
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struct functor_traits<scalar_conj_product_op<LhsScalar,RhsScalar> > {
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enum {
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Cost = NumTraits<LhsScalar>::MulCost,
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PacketAccess = internal::is_same<LhsScalar, RhsScalar>::value && packet_traits<LhsScalar>::HasMul
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};
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};
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/** \internal
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* \brief Template functor to compute the min of two scalars
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*
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* \sa class CwiseBinaryOp, MatrixBase::cwiseMin, class VectorwiseOp, MatrixBase::minCoeff()
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*/
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template<typename Scalar> struct scalar_min_op {
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EIGEN_EMPTY_STRUCT_CTOR(scalar_min_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a, const Scalar& b) const { EIGEN_USING_STD_MATH(min); return (min)(a, b); }
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template<typename Packet>
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EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const
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{ return internal::pmin(a,b); }
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template<typename Packet>
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EIGEN_STRONG_INLINE const Scalar predux(const Packet& a) const
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{ return internal::predux_min(a); }
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};
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template<typename Scalar>
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struct functor_traits<scalar_min_op<Scalar> > {
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enum {
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Cost = NumTraits<Scalar>::AddCost,
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PacketAccess = packet_traits<Scalar>::HasMin
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};
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};
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/** \internal
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* \brief Template functor to compute the max of two scalars
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*
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* \sa class CwiseBinaryOp, MatrixBase::cwiseMax, class VectorwiseOp, MatrixBase::maxCoeff()
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*/
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template<typename Scalar> struct scalar_max_op {
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EIGEN_EMPTY_STRUCT_CTOR(scalar_max_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a, const Scalar& b) const { EIGEN_USING_STD_MATH(max); return (max)(a, b); }
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template<typename Packet>
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EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const
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{ return internal::pmax(a,b); }
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template<typename Packet>
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EIGEN_STRONG_INLINE const Scalar predux(const Packet& a) const
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{ return internal::predux_max(a); }
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};
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template<typename Scalar>
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struct functor_traits<scalar_max_op<Scalar> > {
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enum {
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Cost = NumTraits<Scalar>::AddCost,
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PacketAccess = packet_traits<Scalar>::HasMax
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};
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};
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/** \internal
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* \brief Template functor to compute the hypot of two scalars
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*
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* \sa MatrixBase::stableNorm(), class Redux
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*/
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template<typename Scalar> struct scalar_hypot_op {
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EIGEN_EMPTY_STRUCT_CTOR(scalar_hypot_op)
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// typedef typename NumTraits<Scalar>::Real result_type;
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& _x, const Scalar& _y) const
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{
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EIGEN_USING_STD_MATH(max);
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EIGEN_USING_STD_MATH(min);
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using std::sqrt;
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Scalar p = (max)(_x, _y);
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Scalar q = (min)(_x, _y);
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Scalar qp = q/p;
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return p * sqrt(Scalar(1) + qp*qp);
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}
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};
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template<typename Scalar>
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struct functor_traits<scalar_hypot_op<Scalar> > {
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enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess=0 };
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};
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/** \internal
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* \brief Template functor to compute the pow of two scalars
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*/
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template<typename Scalar, typename OtherScalar> struct scalar_binary_pow_op {
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EIGEN_EMPTY_STRUCT_CTOR(scalar_binary_pow_op)
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EIGEN_DEVICE_FUNC
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inline Scalar operator() (const Scalar& a, const OtherScalar& b) const { return numext::pow(a, b); }
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};
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template<typename Scalar, typename OtherScalar>
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struct functor_traits<scalar_binary_pow_op<Scalar,OtherScalar> > {
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enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = false };
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};
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//---------- non associative binary functors ----------
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/** \internal
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* \brief Template functor to compute the difference of two scalars
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*
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* \sa class CwiseBinaryOp, MatrixBase::operator-
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*/
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template<typename Scalar> struct scalar_difference_op {
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EIGEN_EMPTY_STRUCT_CTOR(scalar_difference_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a, const Scalar& b) const { return a - b; }
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template<typename Packet>
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EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const
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{ return internal::psub(a,b); }
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};
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template<typename Scalar>
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struct functor_traits<scalar_difference_op<Scalar> > {
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enum {
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Cost = NumTraits<Scalar>::AddCost,
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PacketAccess = packet_traits<Scalar>::HasSub
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};
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};
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/** \internal
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* \brief Template functor to compute the quotient of two scalars
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*
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* \sa class CwiseBinaryOp, Cwise::operator/()
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*/
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template<typename LhsScalar,typename RhsScalar> struct scalar_quotient_op {
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enum {
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// TODO vectorize mixed product
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Vectorizable = is_same<LhsScalar,RhsScalar>::value && packet_traits<LhsScalar>::HasDiv && packet_traits<RhsScalar>::HasDiv
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};
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typedef typename scalar_product_traits<LhsScalar,RhsScalar>::ReturnType result_type;
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EIGEN_EMPTY_STRUCT_CTOR(scalar_quotient_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const LhsScalar& a, const RhsScalar& b) const { return a / b; }
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template<typename Packet>
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EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const
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{ return internal::pdiv(a,b); }
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};
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template<typename LhsScalar,typename RhsScalar>
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struct functor_traits<scalar_quotient_op<LhsScalar,RhsScalar> > {
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enum {
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Cost = (NumTraits<LhsScalar>::MulCost + NumTraits<RhsScalar>::MulCost), // rough estimate!
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PacketAccess = scalar_quotient_op<LhsScalar,RhsScalar>::Vectorizable
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};
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};
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/** \internal
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* \brief Template functor to compute the and of two booleans
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*
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* \sa class CwiseBinaryOp, ArrayBase::operator&&
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*/
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struct scalar_boolean_and_op {
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EIGEN_EMPTY_STRUCT_CTOR(scalar_boolean_and_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator() (const bool& a, const bool& b) const { return a && b; }
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};
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template<> struct functor_traits<scalar_boolean_and_op> {
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enum {
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Cost = NumTraits<bool>::AddCost,
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PacketAccess = false
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};
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};
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/** \internal
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* \brief Template functor to compute the or of two booleans
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*
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* \sa class CwiseBinaryOp, ArrayBase::operator||
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*/
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struct scalar_boolean_or_op {
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EIGEN_EMPTY_STRUCT_CTOR(scalar_boolean_or_op)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator() (const bool& a, const bool& b) const { return a || b; }
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};
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template<> struct functor_traits<scalar_boolean_or_op> {
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enum {
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Cost = NumTraits<bool>::AddCost,
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PacketAccess = false
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};
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};
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//---------- binary functors bound to a constant, thus appearing as a unary functor ----------
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/** \internal
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* \brief Template functor to multiply a scalar by a fixed other one
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*
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* \sa class CwiseUnaryOp, MatrixBase::operator*, MatrixBase::operator/
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*/
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/* NOTE why doing the pset1() in packetOp *is* an optimization ?
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* indeed it seems better to declare m_other as a Packet and do the pset1() once
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* in the constructor. However, in practice:
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* - GCC does not like m_other as a Packet and generate a load every time it needs it
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* - on the other hand GCC is able to moves the pset1() outside the loop :)
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* - simpler code ;)
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* (ICC and gcc 4.4 seems to perform well in both cases, the issue is visible with y = a*x + b*y)
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*/
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template<typename Scalar>
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struct scalar_multiple_op {
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typedef typename packet_traits<Scalar>::type Packet;
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// FIXME default copy constructors seems bugged with std::complex<>
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE scalar_multiple_op(const scalar_multiple_op& other) : m_other(other.m_other) { }
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE scalar_multiple_op(const Scalar& other) : m_other(other) { }
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE Scalar operator() (const Scalar& a) const { return a * m_other; }
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EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a) const
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{ return internal::pmul(a, pset1<Packet>(m_other)); }
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typename add_const_on_value_type<typename NumTraits<Scalar>::Nested>::type m_other;
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};
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template<typename Scalar>
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struct functor_traits<scalar_multiple_op<Scalar> >
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{ enum { Cost = NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasMul }; };
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template<typename Scalar1, typename Scalar2>
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struct scalar_multiple2_op {
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typedef typename scalar_product_traits<Scalar1,Scalar2>::ReturnType result_type;
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_multiple2_op(const scalar_multiple2_op& other) : m_other(other.m_other) { }
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_multiple2_op(const Scalar2& other) : m_other(other) { }
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE result_type operator() (const Scalar1& a) const { return a * m_other; }
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typename add_const_on_value_type<typename NumTraits<Scalar2>::Nested>::type m_other;
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};
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template<typename Scalar1,typename Scalar2>
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struct functor_traits<scalar_multiple2_op<Scalar1,Scalar2> >
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{ enum { Cost = NumTraits<Scalar1>::MulCost, PacketAccess = false }; };
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/** \internal
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* \brief Template functor to divide a scalar by a fixed other one
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*
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* This functor is used to implement the quotient of a matrix by
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* a scalar where the scalar type is not necessarily a floating point type.
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*
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* \sa class CwiseUnaryOp, MatrixBase::operator/
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*/
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template<typename Scalar>
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struct scalar_quotient1_op {
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typedef typename packet_traits<Scalar>::type Packet;
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// FIXME default copy constructors seems bugged with std::complex<>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_quotient1_op(const scalar_quotient1_op& other) : m_other(other.m_other) { }
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_quotient1_op(const Scalar& other) : m_other(other) {}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator() (const Scalar& a) const { return a / m_other; }
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EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a) const
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{ return internal::pdiv(a, pset1<Packet>(m_other)); }
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typename add_const_on_value_type<typename NumTraits<Scalar>::Nested>::type m_other;
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};
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template<typename Scalar>
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struct functor_traits<scalar_quotient1_op<Scalar> >
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{ enum { Cost = 2 * NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasDiv }; };
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// In Eigen, any binary op (Product, CwiseBinaryOp) require the Lhs and Rhs to have the same scalar type, except for multiplication
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// where the mixing of different types is handled by scalar_product_traits
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// In particular, real * complex<real> is allowed.
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// FIXME move this to functor_traits adding a functor_default
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template<typename Functor> struct functor_is_product_like { enum { ret = 0 }; };
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template<typename LhsScalar,typename RhsScalar> struct functor_is_product_like<scalar_product_op<LhsScalar,RhsScalar> > { enum { ret = 1 }; };
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template<typename LhsScalar,typename RhsScalar> struct functor_is_product_like<scalar_conj_product_op<LhsScalar,RhsScalar> > { enum { ret = 1 }; };
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template<typename LhsScalar,typename RhsScalar> struct functor_is_product_like<scalar_quotient_op<LhsScalar,RhsScalar> > { enum { ret = 1 }; };
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/** \internal
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* \brief Template functor to add a scalar to a fixed other one
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* \sa class CwiseUnaryOp, Array::operator+
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*/
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/* If you wonder why doing the pset1() in packetOp() is an optimization check scalar_multiple_op */
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template<typename Scalar>
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struct scalar_add_op {
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typedef typename packet_traits<Scalar>::type Packet;
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// FIXME default copy constructors seems bugged with std::complex<>
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EIGEN_DEVICE_FUNC inline scalar_add_op(const scalar_add_op& other) : m_other(other.m_other) { }
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EIGEN_DEVICE_FUNC inline scalar_add_op(const Scalar& other) : m_other(other) { }
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EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a) const { return a + m_other; }
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inline const Packet packetOp(const Packet& a) const
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{ return internal::padd(a, pset1<Packet>(m_other)); }
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const Scalar m_other;
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};
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template<typename Scalar>
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struct functor_traits<scalar_add_op<Scalar> >
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{ enum { Cost = NumTraits<Scalar>::AddCost, PacketAccess = packet_traits<Scalar>::HasAdd }; };
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/** \internal
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* \brief Template functor to subtract a fixed scalar to another one
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* \sa class CwiseUnaryOp, Array::operator-, struct scalar_add_op, struct scalar_rsub_op
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*/
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template<typename Scalar>
|
||||
struct scalar_sub_op {
|
||||
typedef typename packet_traits<Scalar>::type Packet;
|
||||
inline scalar_sub_op(const scalar_sub_op& other) : m_other(other.m_other) { }
|
||||
inline scalar_sub_op(const Scalar& other) : m_other(other) { }
|
||||
inline Scalar operator() (const Scalar& a) const { return a - m_other; }
|
||||
inline const Packet packetOp(const Packet& a) const
|
||||
{ return internal::psub(a, pset1<Packet>(m_other)); }
|
||||
const Scalar m_other;
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_sub_op<Scalar> >
|
||||
{ enum { Cost = NumTraits<Scalar>::AddCost, PacketAccess = packet_traits<Scalar>::HasAdd }; };
|
||||
|
||||
/** \internal
|
||||
* \brief Template functor to subtract a scalar to fixed another one
|
||||
* \sa class CwiseUnaryOp, Array::operator-, struct scalar_add_op, struct scalar_sub_op
|
||||
*/
|
||||
template<typename Scalar>
|
||||
struct scalar_rsub_op {
|
||||
typedef typename packet_traits<Scalar>::type Packet;
|
||||
inline scalar_rsub_op(const scalar_rsub_op& other) : m_other(other.m_other) { }
|
||||
inline scalar_rsub_op(const Scalar& other) : m_other(other) { }
|
||||
inline Scalar operator() (const Scalar& a) const { return m_other - a; }
|
||||
inline const Packet packetOp(const Packet& a) const
|
||||
{ return internal::psub(pset1<Packet>(m_other), a); }
|
||||
const Scalar m_other;
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_rsub_op<Scalar> >
|
||||
{ enum { Cost = NumTraits<Scalar>::AddCost, PacketAccess = packet_traits<Scalar>::HasAdd }; };
|
||||
|
||||
/** \internal
|
||||
* \brief Template functor to raise a scalar to a power
|
||||
* \sa class CwiseUnaryOp, Cwise::pow
|
||||
*/
|
||||
template<typename Scalar>
|
||||
struct scalar_pow_op {
|
||||
// FIXME default copy constructors seems bugged with std::complex<>
|
||||
inline scalar_pow_op(const scalar_pow_op& other) : m_exponent(other.m_exponent) { }
|
||||
inline scalar_pow_op(const Scalar& exponent) : m_exponent(exponent) {}
|
||||
EIGEN_DEVICE_FUNC
|
||||
inline Scalar operator() (const Scalar& a) const { return numext::pow(a, m_exponent); }
|
||||
const Scalar m_exponent;
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_pow_op<Scalar> >
|
||||
{ enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = false }; };
|
||||
|
||||
/** \internal
|
||||
* \brief Template functor to compute the quotient between a scalar and array entries.
|
||||
* \sa class CwiseUnaryOp, Cwise::inverse()
|
||||
*/
|
||||
template<typename Scalar>
|
||||
struct scalar_inverse_mult_op {
|
||||
scalar_inverse_mult_op(const Scalar& other) : m_other(other) {}
|
||||
EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a) const { return m_other / a; }
|
||||
template<typename Packet>
|
||||
inline const Packet packetOp(const Packet& a) const
|
||||
{ return internal::pdiv(pset1<Packet>(m_other),a); }
|
||||
Scalar m_other;
|
||||
};
|
||||
|
||||
} // end namespace internal
|
||||
|
||||
} // end namespace Eigen
|
||||
|
||||
#endif // EIGEN_BINARY_FUNCTORS_H
|
||||
158
Eigen/src/Core/functors/NullaryFunctors.h
Normal file
158
Eigen/src/Core/functors/NullaryFunctors.h
Normal file
@ -0,0 +1,158 @@
|
||||
// This file is part of Eigen, a lightweight C++ template library
|
||||
// for linear algebra.
|
||||
//
|
||||
// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
|
||||
//
|
||||
// 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_NULLARY_FUNCTORS_H
|
||||
#define EIGEN_NULLARY_FUNCTORS_H
|
||||
|
||||
namespace Eigen {
|
||||
|
||||
namespace internal {
|
||||
|
||||
template<typename Scalar>
|
||||
struct scalar_constant_op {
|
||||
typedef typename packet_traits<Scalar>::type Packet;
|
||||
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { }
|
||||
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const Scalar& other) : m_other(other) { }
|
||||
template<typename Index>
|
||||
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (Index, Index = 0) const { return m_other; }
|
||||
template<typename Index>
|
||||
EIGEN_STRONG_INLINE const Packet packetOp(Index, Index = 0) const { return internal::pset1<Packet>(m_other); }
|
||||
const Scalar m_other;
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_constant_op<Scalar> >
|
||||
// FIXME replace this packet test by a safe one
|
||||
{ enum { Cost = 1, PacketAccess = packet_traits<Scalar>::Vectorizable, IsRepeatable = true }; };
|
||||
|
||||
template<typename Scalar> struct scalar_identity_op {
|
||||
EIGEN_EMPTY_STRUCT_CTOR(scalar_identity_op)
|
||||
template<typename Index>
|
||||
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (Index row, Index col) const { return row==col ? Scalar(1) : Scalar(0); }
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_identity_op<Scalar> >
|
||||
{ enum { Cost = NumTraits<Scalar>::AddCost, PacketAccess = false, IsRepeatable = true }; };
|
||||
|
||||
template <typename Scalar, bool RandomAccess> struct linspaced_op_impl;
|
||||
|
||||
// linear access for packet ops:
|
||||
// 1) initialization
|
||||
// base = [low, ..., low] + ([step, ..., step] * [-size, ..., 0])
|
||||
// 2) each step (where size is 1 for coeff access or PacketSize for packet access)
|
||||
// base += [size*step, ..., size*step]
|
||||
//
|
||||
// TODO: Perhaps it's better to initialize lazily (so not in the constructor but in packetOp)
|
||||
// in order to avoid the padd() in operator() ?
|
||||
template <typename Scalar>
|
||||
struct linspaced_op_impl<Scalar,false>
|
||||
{
|
||||
typedef typename packet_traits<Scalar>::type Packet;
|
||||
|
||||
linspaced_op_impl(const Scalar& low, const Scalar& step) :
|
||||
m_low(low), m_step(step),
|
||||
m_packetStep(pset1<Packet>(packet_traits<Scalar>::size*step)),
|
||||
m_base(padd(pset1<Packet>(low), pmul(pset1<Packet>(step),plset<Scalar>(-packet_traits<Scalar>::size)))) {}
|
||||
|
||||
template<typename Index>
|
||||
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (Index i) const
|
||||
{
|
||||
m_base = padd(m_base, pset1<Packet>(m_step));
|
||||
return m_low+Scalar(i)*m_step;
|
||||
}
|
||||
|
||||
template<typename Index>
|
||||
EIGEN_STRONG_INLINE const Packet packetOp(Index) const { return m_base = padd(m_base,m_packetStep); }
|
||||
|
||||
const Scalar m_low;
|
||||
const Scalar m_step;
|
||||
const Packet m_packetStep;
|
||||
mutable Packet m_base;
|
||||
};
|
||||
|
||||
// random access for packet ops:
|
||||
// 1) each step
|
||||
// [low, ..., low] + ( [step, ..., step] * ( [i, ..., i] + [0, ..., size] ) )
|
||||
template <typename Scalar>
|
||||
struct linspaced_op_impl<Scalar,true>
|
||||
{
|
||||
typedef typename packet_traits<Scalar>::type Packet;
|
||||
|
||||
linspaced_op_impl(const Scalar& low, const Scalar& step) :
|
||||
m_low(low), m_step(step),
|
||||
m_lowPacket(pset1<Packet>(m_low)), m_stepPacket(pset1<Packet>(m_step)), m_interPacket(plset<Scalar>(0)) {}
|
||||
|
||||
template<typename Index>
|
||||
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (Index i) const { return m_low+i*m_step; }
|
||||
|
||||
template<typename Index>
|
||||
EIGEN_STRONG_INLINE const Packet packetOp(Index i) const
|
||||
{ return internal::padd(m_lowPacket, pmul(m_stepPacket, padd(pset1<Packet>(i),m_interPacket))); }
|
||||
|
||||
const Scalar m_low;
|
||||
const Scalar m_step;
|
||||
const Packet m_lowPacket;
|
||||
const Packet m_stepPacket;
|
||||
const Packet m_interPacket;
|
||||
};
|
||||
|
||||
// ----- Linspace functor ----------------------------------------------------------------
|
||||
|
||||
// Forward declaration (we default to random access which does not really give
|
||||
// us a speed gain when using packet access but it allows to use the functor in
|
||||
// nested expressions).
|
||||
template <typename Scalar, bool RandomAccess = true> struct linspaced_op;
|
||||
template <typename Scalar, bool RandomAccess> struct functor_traits< linspaced_op<Scalar,RandomAccess> >
|
||||
{ enum { Cost = 1, PacketAccess = packet_traits<Scalar>::HasSetLinear, IsRepeatable = true }; };
|
||||
template <typename Scalar, bool RandomAccess> struct linspaced_op
|
||||
{
|
||||
typedef typename packet_traits<Scalar>::type Packet;
|
||||
linspaced_op(const Scalar& low, const Scalar& high, DenseIndex num_steps) : impl((num_steps==1 ? high : low), (num_steps==1 ? Scalar() : (high-low)/(num_steps-1))) {}
|
||||
|
||||
template<typename Index>
|
||||
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (Index i) const { return impl(i); }
|
||||
|
||||
// We need this function when assigning e.g. a RowVectorXd to a MatrixXd since
|
||||
// there row==0 and col is used for the actual iteration.
|
||||
template<typename Index>
|
||||
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (Index row, Index col) const
|
||||
{
|
||||
eigen_assert(col==0 || row==0);
|
||||
return impl(col + row);
|
||||
}
|
||||
|
||||
template<typename Index>
|
||||
EIGEN_STRONG_INLINE const Packet packetOp(Index i) const { return impl.packetOp(i); }
|
||||
|
||||
// We need this function when assigning e.g. a RowVectorXd to a MatrixXd since
|
||||
// there row==0 and col is used for the actual iteration.
|
||||
template<typename Index>
|
||||
EIGEN_STRONG_INLINE const Packet packetOp(Index row, Index col) const
|
||||
{
|
||||
eigen_assert(col==0 || row==0);
|
||||
return impl.packetOp(col + row);
|
||||
}
|
||||
|
||||
// This proxy object handles the actual required temporaries, the different
|
||||
// implementations (random vs. sequential access) as well as the
|
||||
// correct piping to size 2/4 packet operations.
|
||||
const linspaced_op_impl<Scalar,RandomAccess> impl;
|
||||
};
|
||||
|
||||
// all functors allow linear access, except scalar_identity_op. So we fix here a quick meta
|
||||
// to indicate whether a functor allows linear access, just always answering 'yes' except for
|
||||
// scalar_identity_op.
|
||||
// FIXME move this to functor_traits adding a functor_default
|
||||
template<typename Functor> struct functor_has_linear_access { enum { ret = 1 }; };
|
||||
template<typename Scalar> struct functor_has_linear_access<scalar_identity_op<Scalar> > { enum { ret = 0 }; };
|
||||
|
||||
} // end namespace internal
|
||||
|
||||
} // end namespace Eigen
|
||||
|
||||
#endif // EIGEN_NULLARY_FUNCTORS_H
|
||||
129
Eigen/src/Core/functors/StlFunctors.h
Normal file
129
Eigen/src/Core/functors/StlFunctors.h
Normal file
@ -0,0 +1,129 @@
|
||||
// This file is part of Eigen, a lightweight C++ template library
|
||||
// for linear algebra.
|
||||
//
|
||||
// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
|
||||
//
|
||||
// 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_STL_FUNCTORS_H
|
||||
#define EIGEN_STL_FUNCTORS_H
|
||||
|
||||
namespace Eigen {
|
||||
|
||||
namespace internal {
|
||||
|
||||
// default functor traits for STL functors:
|
||||
|
||||
template<typename T>
|
||||
struct functor_traits<std::multiplies<T> >
|
||||
{ enum { Cost = NumTraits<T>::MulCost, PacketAccess = false }; };
|
||||
|
||||
template<typename T>
|
||||
struct functor_traits<std::divides<T> >
|
||||
{ enum { Cost = NumTraits<T>::MulCost, PacketAccess = false }; };
|
||||
|
||||
template<typename T>
|
||||
struct functor_traits<std::plus<T> >
|
||||
{ enum { Cost = NumTraits<T>::AddCost, PacketAccess = false }; };
|
||||
|
||||
template<typename T>
|
||||
struct functor_traits<std::minus<T> >
|
||||
{ enum { Cost = NumTraits<T>::AddCost, PacketAccess = false }; };
|
||||
|
||||
template<typename T>
|
||||
struct functor_traits<std::negate<T> >
|
||||
{ enum { Cost = NumTraits<T>::AddCost, PacketAccess = false }; };
|
||||
|
||||
template<typename T>
|
||||
struct functor_traits<std::logical_or<T> >
|
||||
{ enum { Cost = 1, PacketAccess = false }; };
|
||||
|
||||
template<typename T>
|
||||
struct functor_traits<std::logical_and<T> >
|
||||
{ enum { Cost = 1, PacketAccess = false }; };
|
||||
|
||||
template<typename T>
|
||||
struct functor_traits<std::logical_not<T> >
|
||||
{ enum { Cost = 1, PacketAccess = false }; };
|
||||
|
||||
template<typename T>
|
||||
struct functor_traits<std::greater<T> >
|
||||
{ enum { Cost = 1, PacketAccess = false }; };
|
||||
|
||||
template<typename T>
|
||||
struct functor_traits<std::less<T> >
|
||||
{ enum { Cost = 1, PacketAccess = false }; };
|
||||
|
||||
template<typename T>
|
||||
struct functor_traits<std::greater_equal<T> >
|
||||
{ enum { Cost = 1, PacketAccess = false }; };
|
||||
|
||||
template<typename T>
|
||||
struct functor_traits<std::less_equal<T> >
|
||||
{ enum { Cost = 1, PacketAccess = false }; };
|
||||
|
||||
template<typename T>
|
||||
struct functor_traits<std::equal_to<T> >
|
||||
{ enum { Cost = 1, PacketAccess = false }; };
|
||||
|
||||
template<typename T>
|
||||
struct functor_traits<std::not_equal_to<T> >
|
||||
{ enum { Cost = 1, PacketAccess = false }; };
|
||||
|
||||
template<typename T>
|
||||
struct functor_traits<std::binder2nd<T> >
|
||||
{ enum { Cost = functor_traits<T>::Cost, PacketAccess = false }; };
|
||||
|
||||
template<typename T>
|
||||
struct functor_traits<std::binder1st<T> >
|
||||
{ enum { Cost = functor_traits<T>::Cost, PacketAccess = false }; };
|
||||
|
||||
template<typename T>
|
||||
struct functor_traits<std::unary_negate<T> >
|
||||
{ enum { Cost = 1 + functor_traits<T>::Cost, PacketAccess = false }; };
|
||||
|
||||
template<typename T>
|
||||
struct functor_traits<std::binary_negate<T> >
|
||||
{ enum { Cost = 1 + functor_traits<T>::Cost, PacketAccess = false }; };
|
||||
|
||||
#ifdef EIGEN_STDEXT_SUPPORT
|
||||
|
||||
template<typename T0,typename T1>
|
||||
struct functor_traits<std::project1st<T0,T1> >
|
||||
{ enum { Cost = 0, PacketAccess = false }; };
|
||||
|
||||
template<typename T0,typename T1>
|
||||
struct functor_traits<std::project2nd<T0,T1> >
|
||||
{ enum { Cost = 0, PacketAccess = false }; };
|
||||
|
||||
template<typename T0,typename T1>
|
||||
struct functor_traits<std::select2nd<std::pair<T0,T1> > >
|
||||
{ enum { Cost = 0, PacketAccess = false }; };
|
||||
|
||||
template<typename T0,typename T1>
|
||||
struct functor_traits<std::select1st<std::pair<T0,T1> > >
|
||||
{ enum { Cost = 0, PacketAccess = false }; };
|
||||
|
||||
template<typename T0,typename T1>
|
||||
struct functor_traits<std::unary_compose<T0,T1> >
|
||||
{ enum { Cost = functor_traits<T0>::Cost + functor_traits<T1>::Cost, PacketAccess = false }; };
|
||||
|
||||
template<typename T0,typename T1,typename T2>
|
||||
struct functor_traits<std::binary_compose<T0,T1,T2> >
|
||||
{ enum { Cost = functor_traits<T0>::Cost + functor_traits<T1>::Cost + functor_traits<T2>::Cost, PacketAccess = false }; };
|
||||
|
||||
#endif // EIGEN_STDEXT_SUPPORT
|
||||
|
||||
// allow to add new functors and specializations of functor_traits from outside Eigen.
|
||||
// this macro is really needed because functor_traits must be specialized after it is declared but before it is used...
|
||||
#ifdef EIGEN_FUNCTORS_PLUGIN
|
||||
#include EIGEN_FUNCTORS_PLUGIN
|
||||
#endif
|
||||
|
||||
} // end namespace internal
|
||||
|
||||
} // end namespace Eigen
|
||||
|
||||
#endif // EIGEN_STL_FUNCTORS_H
|
||||
376
Eigen/src/Core/functors/UnaryFunctors.h
Normal file
376
Eigen/src/Core/functors/UnaryFunctors.h
Normal file
@ -0,0 +1,376 @@
|
||||
// This file is part of Eigen, a lightweight C++ template library
|
||||
// for linear algebra.
|
||||
//
|
||||
// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
|
||||
//
|
||||
// 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_UNARY_FUNCTORS_H
|
||||
#define EIGEN_UNARY_FUNCTORS_H
|
||||
|
||||
namespace Eigen {
|
||||
|
||||
namespace internal {
|
||||
|
||||
/** \internal
|
||||
* \brief Template functor to compute the opposite of a scalar
|
||||
*
|
||||
* \sa class CwiseUnaryOp, MatrixBase::operator-
|
||||
*/
|
||||
template<typename Scalar> struct scalar_opposite_op {
|
||||
EIGEN_EMPTY_STRUCT_CTOR(scalar_opposite_op)
|
||||
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const { return -a; }
|
||||
template<typename Packet>
|
||||
EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a) const
|
||||
{ return internal::pnegate(a); }
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_opposite_op<Scalar> >
|
||||
{ enum {
|
||||
Cost = NumTraits<Scalar>::AddCost,
|
||||
PacketAccess = packet_traits<Scalar>::HasNegate };
|
||||
};
|
||||
|
||||
/** \internal
|
||||
* \brief Template functor to compute the absolute value of a scalar
|
||||
*
|
||||
* \sa class CwiseUnaryOp, Cwise::abs
|
||||
*/
|
||||
template<typename Scalar> struct scalar_abs_op {
|
||||
EIGEN_EMPTY_STRUCT_CTOR(scalar_abs_op)
|
||||
typedef typename NumTraits<Scalar>::Real result_type;
|
||||
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const Scalar& a) const { using std::abs; return abs(a); }
|
||||
template<typename Packet>
|
||||
EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a) const
|
||||
{ return internal::pabs(a); }
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_abs_op<Scalar> >
|
||||
{
|
||||
enum {
|
||||
Cost = NumTraits<Scalar>::AddCost,
|
||||
PacketAccess = packet_traits<Scalar>::HasAbs
|
||||
};
|
||||
};
|
||||
|
||||
/** \internal
|
||||
* \brief Template functor to compute the squared absolute value of a scalar
|
||||
*
|
||||
* \sa class CwiseUnaryOp, Cwise::abs2
|
||||
*/
|
||||
template<typename Scalar> struct scalar_abs2_op {
|
||||
EIGEN_EMPTY_STRUCT_CTOR(scalar_abs2_op)
|
||||
typedef typename NumTraits<Scalar>::Real result_type;
|
||||
EIGEN_DEVICE_FUNC
|
||||
EIGEN_STRONG_INLINE const result_type operator() (const Scalar& a) const { return numext::abs2(a); }
|
||||
template<typename Packet>
|
||||
EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a) const
|
||||
{ return internal::pmul(a,a); }
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_abs2_op<Scalar> >
|
||||
{ enum { Cost = NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasAbs2 }; };
|
||||
|
||||
/** \internal
|
||||
* \brief Template functor to compute the conjugate of a complex value
|
||||
*
|
||||
* \sa class CwiseUnaryOp, MatrixBase::conjugate()
|
||||
*/
|
||||
template<typename Scalar> struct scalar_conjugate_op {
|
||||
EIGEN_EMPTY_STRUCT_CTOR(scalar_conjugate_op)
|
||||
EIGEN_DEVICE_FUNC
|
||||
EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const { using numext::conj; return conj(a); }
|
||||
template<typename Packet>
|
||||
EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a) const { return internal::pconj(a); }
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_conjugate_op<Scalar> >
|
||||
{
|
||||
enum {
|
||||
Cost = NumTraits<Scalar>::IsComplex ? NumTraits<Scalar>::AddCost : 0,
|
||||
PacketAccess = packet_traits<Scalar>::HasConj
|
||||
};
|
||||
};
|
||||
|
||||
/** \internal
|
||||
* \brief Template functor to cast a scalar to another type
|
||||
*
|
||||
* \sa class CwiseUnaryOp, MatrixBase::cast()
|
||||
*/
|
||||
template<typename Scalar, typename NewType>
|
||||
struct scalar_cast_op {
|
||||
EIGEN_EMPTY_STRUCT_CTOR(scalar_cast_op)
|
||||
typedef NewType result_type;
|
||||
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const NewType operator() (const Scalar& a) const { return cast<Scalar, NewType>(a); }
|
||||
};
|
||||
template<typename Scalar, typename NewType>
|
||||
struct functor_traits<scalar_cast_op<Scalar,NewType> >
|
||||
{ enum { Cost = is_same<Scalar, NewType>::value ? 0 : NumTraits<NewType>::AddCost, PacketAccess = false }; };
|
||||
|
||||
/** \internal
|
||||
* \brief Template functor to extract the real part of a complex
|
||||
*
|
||||
* \sa class CwiseUnaryOp, MatrixBase::real()
|
||||
*/
|
||||
template<typename Scalar>
|
||||
struct scalar_real_op {
|
||||
EIGEN_EMPTY_STRUCT_CTOR(scalar_real_op)
|
||||
typedef typename NumTraits<Scalar>::Real result_type;
|
||||
EIGEN_DEVICE_FUNC
|
||||
EIGEN_STRONG_INLINE result_type operator() (const Scalar& a) const { return numext::real(a); }
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_real_op<Scalar> >
|
||||
{ enum { Cost = 0, PacketAccess = false }; };
|
||||
|
||||
/** \internal
|
||||
* \brief Template functor to extract the imaginary part of a complex
|
||||
*
|
||||
* \sa class CwiseUnaryOp, MatrixBase::imag()
|
||||
*/
|
||||
template<typename Scalar>
|
||||
struct scalar_imag_op {
|
||||
EIGEN_EMPTY_STRUCT_CTOR(scalar_imag_op)
|
||||
typedef typename NumTraits<Scalar>::Real result_type;
|
||||
EIGEN_DEVICE_FUNC
|
||||
EIGEN_STRONG_INLINE result_type operator() (const Scalar& a) const { return numext::imag(a); }
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_imag_op<Scalar> >
|
||||
{ enum { Cost = 0, PacketAccess = false }; };
|
||||
|
||||
/** \internal
|
||||
* \brief Template functor to extract the real part of a complex as a reference
|
||||
*
|
||||
* \sa class CwiseUnaryOp, MatrixBase::real()
|
||||
*/
|
||||
template<typename Scalar>
|
||||
struct scalar_real_ref_op {
|
||||
EIGEN_EMPTY_STRUCT_CTOR(scalar_real_ref_op)
|
||||
typedef typename NumTraits<Scalar>::Real result_type;
|
||||
EIGEN_DEVICE_FUNC
|
||||
EIGEN_STRONG_INLINE result_type& operator() (const Scalar& a) const { return numext::real_ref(*const_cast<Scalar*>(&a)); }
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_real_ref_op<Scalar> >
|
||||
{ enum { Cost = 0, PacketAccess = false }; };
|
||||
|
||||
/** \internal
|
||||
* \brief Template functor to extract the imaginary part of a complex as a reference
|
||||
*
|
||||
* \sa class CwiseUnaryOp, MatrixBase::imag()
|
||||
*/
|
||||
template<typename Scalar>
|
||||
struct scalar_imag_ref_op {
|
||||
EIGEN_EMPTY_STRUCT_CTOR(scalar_imag_ref_op)
|
||||
typedef typename NumTraits<Scalar>::Real result_type;
|
||||
EIGEN_DEVICE_FUNC
|
||||
EIGEN_STRONG_INLINE result_type& operator() (const Scalar& a) const { return numext::imag_ref(*const_cast<Scalar*>(&a)); }
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_imag_ref_op<Scalar> >
|
||||
{ enum { Cost = 0, PacketAccess = false }; };
|
||||
|
||||
/** \internal
|
||||
*
|
||||
* \brief Template functor to compute the exponential of a scalar
|
||||
*
|
||||
* \sa class CwiseUnaryOp, Cwise::exp()
|
||||
*/
|
||||
template<typename Scalar> struct scalar_exp_op {
|
||||
EIGEN_EMPTY_STRUCT_CTOR(scalar_exp_op)
|
||||
EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const { using std::exp; return exp(a); }
|
||||
typedef typename packet_traits<Scalar>::type Packet;
|
||||
inline Packet packetOp(const Packet& a) const { return internal::pexp(a); }
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_exp_op<Scalar> >
|
||||
{ enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasExp }; };
|
||||
|
||||
/** \internal
|
||||
*
|
||||
* \brief Template functor to compute the logarithm of a scalar
|
||||
*
|
||||
* \sa class CwiseUnaryOp, Cwise::log()
|
||||
*/
|
||||
template<typename Scalar> struct scalar_log_op {
|
||||
EIGEN_EMPTY_STRUCT_CTOR(scalar_log_op)
|
||||
EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const { using std::log; return log(a); }
|
||||
typedef typename packet_traits<Scalar>::type Packet;
|
||||
inline Packet packetOp(const Packet& a) const { return internal::plog(a); }
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_log_op<Scalar> >
|
||||
{ enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasLog }; };
|
||||
|
||||
|
||||
/** \internal
|
||||
* \brief Template functor to compute the square root of a scalar
|
||||
* \sa class CwiseUnaryOp, Cwise::sqrt()
|
||||
*/
|
||||
template<typename Scalar> struct scalar_sqrt_op {
|
||||
EIGEN_EMPTY_STRUCT_CTOR(scalar_sqrt_op)
|
||||
EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const { using std::sqrt; return sqrt(a); }
|
||||
typedef typename packet_traits<Scalar>::type Packet;
|
||||
inline Packet packetOp(const Packet& a) const { return internal::psqrt(a); }
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_sqrt_op<Scalar> >
|
||||
{ enum {
|
||||
Cost = 5 * NumTraits<Scalar>::MulCost,
|
||||
PacketAccess = packet_traits<Scalar>::HasSqrt
|
||||
};
|
||||
};
|
||||
|
||||
/** \internal
|
||||
* \brief Template functor to compute the cosine of a scalar
|
||||
* \sa class CwiseUnaryOp, ArrayBase::cos()
|
||||
*/
|
||||
template<typename Scalar> struct scalar_cos_op {
|
||||
EIGEN_EMPTY_STRUCT_CTOR(scalar_cos_op)
|
||||
EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a) const { using std::cos; return cos(a); }
|
||||
typedef typename packet_traits<Scalar>::type Packet;
|
||||
inline Packet packetOp(const Packet& a) const { return internal::pcos(a); }
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_cos_op<Scalar> >
|
||||
{
|
||||
enum {
|
||||
Cost = 5 * NumTraits<Scalar>::MulCost,
|
||||
PacketAccess = packet_traits<Scalar>::HasCos
|
||||
};
|
||||
};
|
||||
|
||||
/** \internal
|
||||
* \brief Template functor to compute the sine of a scalar
|
||||
* \sa class CwiseUnaryOp, ArrayBase::sin()
|
||||
*/
|
||||
template<typename Scalar> struct scalar_sin_op {
|
||||
EIGEN_EMPTY_STRUCT_CTOR(scalar_sin_op)
|
||||
EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const { using std::sin; return sin(a); }
|
||||
typedef typename packet_traits<Scalar>::type Packet;
|
||||
inline Packet packetOp(const Packet& a) const { return internal::psin(a); }
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_sin_op<Scalar> >
|
||||
{
|
||||
enum {
|
||||
Cost = 5 * NumTraits<Scalar>::MulCost,
|
||||
PacketAccess = packet_traits<Scalar>::HasSin
|
||||
};
|
||||
};
|
||||
|
||||
|
||||
/** \internal
|
||||
* \brief Template functor to compute the tan of a scalar
|
||||
* \sa class CwiseUnaryOp, ArrayBase::tan()
|
||||
*/
|
||||
template<typename Scalar> struct scalar_tan_op {
|
||||
EIGEN_EMPTY_STRUCT_CTOR(scalar_tan_op)
|
||||
EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const { using std::tan; return tan(a); }
|
||||
typedef typename packet_traits<Scalar>::type Packet;
|
||||
inline Packet packetOp(const Packet& a) const { return internal::ptan(a); }
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_tan_op<Scalar> >
|
||||
{
|
||||
enum {
|
||||
Cost = 5 * NumTraits<Scalar>::MulCost,
|
||||
PacketAccess = packet_traits<Scalar>::HasTan
|
||||
};
|
||||
};
|
||||
|
||||
/** \internal
|
||||
* \brief Template functor to compute the arc cosine of a scalar
|
||||
* \sa class CwiseUnaryOp, ArrayBase::acos()
|
||||
*/
|
||||
template<typename Scalar> struct scalar_acos_op {
|
||||
EIGEN_EMPTY_STRUCT_CTOR(scalar_acos_op)
|
||||
EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const { using std::acos; return acos(a); }
|
||||
typedef typename packet_traits<Scalar>::type Packet;
|
||||
inline Packet packetOp(const Packet& a) const { return internal::pacos(a); }
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_acos_op<Scalar> >
|
||||
{
|
||||
enum {
|
||||
Cost = 5 * NumTraits<Scalar>::MulCost,
|
||||
PacketAccess = packet_traits<Scalar>::HasACos
|
||||
};
|
||||
};
|
||||
|
||||
/** \internal
|
||||
* \brief Template functor to compute the arc sine of a scalar
|
||||
* \sa class CwiseUnaryOp, ArrayBase::asin()
|
||||
*/
|
||||
template<typename Scalar> struct scalar_asin_op {
|
||||
EIGEN_EMPTY_STRUCT_CTOR(scalar_asin_op)
|
||||
EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const { using std::asin; return asin(a); }
|
||||
typedef typename packet_traits<Scalar>::type Packet;
|
||||
inline Packet packetOp(const Packet& a) const { return internal::pasin(a); }
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_asin_op<Scalar> >
|
||||
{
|
||||
enum {
|
||||
Cost = 5 * NumTraits<Scalar>::MulCost,
|
||||
PacketAccess = packet_traits<Scalar>::HasASin
|
||||
};
|
||||
};
|
||||
|
||||
/** \internal
|
||||
* \brief Template functor to compute the inverse of a scalar
|
||||
* \sa class CwiseUnaryOp, Cwise::inverse()
|
||||
*/
|
||||
template<typename Scalar>
|
||||
struct scalar_inverse_op {
|
||||
EIGEN_EMPTY_STRUCT_CTOR(scalar_inverse_op)
|
||||
EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a) const { return Scalar(1)/a; }
|
||||
template<typename Packet>
|
||||
inline const Packet packetOp(const Packet& a) const
|
||||
{ return internal::pdiv(pset1<Packet>(Scalar(1)),a); }
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_inverse_op<Scalar> >
|
||||
{ enum { Cost = NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasDiv }; };
|
||||
|
||||
/** \internal
|
||||
* \brief Template functor to compute the square of a scalar
|
||||
* \sa class CwiseUnaryOp, Cwise::square()
|
||||
*/
|
||||
template<typename Scalar>
|
||||
struct scalar_square_op {
|
||||
EIGEN_EMPTY_STRUCT_CTOR(scalar_square_op)
|
||||
EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a) const { return a*a; }
|
||||
template<typename Packet>
|
||||
inline const Packet packetOp(const Packet& a) const
|
||||
{ return internal::pmul(a,a); }
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_square_op<Scalar> >
|
||||
{ enum { Cost = NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasMul }; };
|
||||
|
||||
/** \internal
|
||||
* \brief Template functor to compute the cube of a scalar
|
||||
* \sa class CwiseUnaryOp, Cwise::cube()
|
||||
*/
|
||||
template<typename Scalar>
|
||||
struct scalar_cube_op {
|
||||
EIGEN_EMPTY_STRUCT_CTOR(scalar_cube_op)
|
||||
EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a) const { return a*a*a; }
|
||||
template<typename Packet>
|
||||
inline const Packet packetOp(const Packet& a) const
|
||||
{ return internal::pmul(a,pmul(a,a)); }
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_cube_op<Scalar> >
|
||||
{ enum { Cost = 2*NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasMul }; };
|
||||
|
||||
|
||||
} // end namespace internal
|
||||
|
||||
} // end namespace Eigen
|
||||
|
||||
#endif // EIGEN_FUNCTORS_H
|
||||
Loading…
Reference in New Issue
Block a user