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Diffstat (limited to 'third_party/eigen3/Eigen/src/Core/functors/NullaryFunctors.h')
| -rw-r--r-- | third_party/eigen3/Eigen/src/Core/functors/NullaryFunctors.h | 158 |
1 files changed, 158 insertions, 0 deletions
diff --git a/third_party/eigen3/Eigen/src/Core/functors/NullaryFunctors.h b/third_party/eigen3/Eigen/src/Core/functors/NullaryFunctors.h new file mode 100644 index 0000000000..6e464b2b8a --- /dev/null +++ b/third_party/eigen3/Eigen/src/Core/functors/NullaryFunctors.h @@ -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_DEVICE_FUNC 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 |