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author | Jim Guggemos <jimg@google.com> | 2012-12-04 16:46:41 -0700 |
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committer | Jim Guggemos <jimg@google.com> | 2012-12-04 17:08:38 -0700 |
commit | b015e75e8c7ba1ab4ddb91e9372a57e76f3fd159 (patch) | |
tree | 54d1c7d66098154c1d7c5bd414394ef4cf255810 /Eigen/src/Core/SelfCwiseBinaryOp.h | |
parent | 63f67d748682b46d58be31235a0a2d64d81b998c (diff) | |
parent | c981c48f5bc9aefeffc0bcb0cc3934c2fae179dd (diff) | |
download | eigen-b015e75e8c7ba1ab4ddb91e9372a57e76f3fd159.tar.gz |
Merge 'goog/jb-mr1.1-dev' into platform/external/eigen.android-sdk-4.4.2_r1.0.1android-sdk-4.4.2_r1android-cts-4.4_r1android-4.4w_r1android-4.4_r0.7android-4.4.4_r2.0.1android-4.4.4_r2android-4.4.4_r1.0.1android-4.4.4_r1android-4.4.3_r1.1.0.1android-4.4.3_r1.1android-4.4.3_r1.0.1android-4.4.3_r1android-4.4.2_r2.0.1android-4.4.2_r2android-4.4.2_r1.0.1android-4.4.2_r1android-4.4.1_r1.0.1android-4.4.1_r1android-4.3_r3.1android-4.3_r3android-4.3.1_r1tools_r22.2tools_r22kitkat-wearkitkat-mr2.2-releasekitkat-mr2.1-releasekitkat-mr2-releasekitkat-mr1.1-releasekitkat-mr1-releasekitkat-devkitkat-cts-devjb-mr2.0.0-releasejb-mr2-devjb-mr1.1-dev-plus-aospjb-mr1-dev-plus-aospidea133-weekly-releaseidea133
Change-Id: Ic9004531328145ea36ba513bb96a23595427f6a4
Diffstat (limited to 'Eigen/src/Core/SelfCwiseBinaryOp.h')
-rw-r--r-- | Eigen/src/Core/SelfCwiseBinaryOp.h | 194 |
1 files changed, 194 insertions, 0 deletions
diff --git a/Eigen/src/Core/SelfCwiseBinaryOp.h b/Eigen/src/Core/SelfCwiseBinaryOp.h new file mode 100644 index 000000000..0caf2bab1 --- /dev/null +++ b/Eigen/src/Core/SelfCwiseBinaryOp.h @@ -0,0 +1,194 @@ +// This file is part of Eigen, a lightweight C++ template library +// for linear algebra. +// +// Copyright (C) 2009-2010 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_SELFCWISEBINARYOP_H +#define EIGEN_SELFCWISEBINARYOP_H + +namespace Eigen { + +/** \class SelfCwiseBinaryOp + * \ingroup Core_Module + * + * \internal + * + * \brief Internal helper class for optimizing operators like +=, -= + * + * This is a pseudo expression class re-implementing the copyCoeff/copyPacket + * method to directly performs a +=/-= operations in an optimal way. In particular, + * this allows to make sure that the input/output data are loaded only once using + * aligned packet loads. + * + * \sa class SwapWrapper for a similar trick. + */ + +namespace internal { +template<typename BinaryOp, typename Lhs, typename Rhs> +struct traits<SelfCwiseBinaryOp<BinaryOp,Lhs,Rhs> > + : traits<CwiseBinaryOp<BinaryOp,Lhs,Rhs> > +{ + enum { + // Note that it is still a good idea to preserve the DirectAccessBit + // so that assign can correctly align the data. + Flags = traits<CwiseBinaryOp<BinaryOp,Lhs,Rhs> >::Flags | (Lhs::Flags&DirectAccessBit) | (Lhs::Flags&LvalueBit), + OuterStrideAtCompileTime = Lhs::OuterStrideAtCompileTime, + InnerStrideAtCompileTime = Lhs::InnerStrideAtCompileTime + }; +}; +} + +template<typename BinaryOp, typename Lhs, typename Rhs> class SelfCwiseBinaryOp + : public internal::dense_xpr_base< SelfCwiseBinaryOp<BinaryOp, Lhs, Rhs> >::type +{ + public: + + typedef typename internal::dense_xpr_base<SelfCwiseBinaryOp>::type Base; + EIGEN_DENSE_PUBLIC_INTERFACE(SelfCwiseBinaryOp) + + typedef typename internal::packet_traits<Scalar>::type Packet; + + inline SelfCwiseBinaryOp(Lhs& xpr, const BinaryOp& func = BinaryOp()) : m_matrix(xpr), m_functor(func) {} + + inline Index rows() const { return m_matrix.rows(); } + inline Index cols() const { return m_matrix.cols(); } + inline Index outerStride() const { return m_matrix.outerStride(); } + inline Index innerStride() const { return m_matrix.innerStride(); } + inline const Scalar* data() const { return m_matrix.data(); } + + // note that this function is needed by assign to correctly align loads/stores + // TODO make Assign use .data() + inline Scalar& coeffRef(Index row, Index col) + { + EIGEN_STATIC_ASSERT_LVALUE(Lhs) + return m_matrix.const_cast_derived().coeffRef(row, col); + } + inline const Scalar& coeffRef(Index row, Index col) const + { + return m_matrix.coeffRef(row, col); + } + + // note that this function is needed by assign to correctly align loads/stores + // TODO make Assign use .data() + inline Scalar& coeffRef(Index index) + { + EIGEN_STATIC_ASSERT_LVALUE(Lhs) + return m_matrix.const_cast_derived().coeffRef(index); + } + inline const Scalar& coeffRef(Index index) const + { + return m_matrix.const_cast_derived().coeffRef(index); + } + + template<typename OtherDerived> + void copyCoeff(Index row, Index col, const DenseBase<OtherDerived>& other) + { + OtherDerived& _other = other.const_cast_derived(); + eigen_internal_assert(row >= 0 && row < rows() + && col >= 0 && col < cols()); + Scalar& tmp = m_matrix.coeffRef(row,col); + tmp = m_functor(tmp, _other.coeff(row,col)); + } + + template<typename OtherDerived> + void copyCoeff(Index index, const DenseBase<OtherDerived>& other) + { + OtherDerived& _other = other.const_cast_derived(); + eigen_internal_assert(index >= 0 && index < m_matrix.size()); + Scalar& tmp = m_matrix.coeffRef(index); + tmp = m_functor(tmp, _other.coeff(index)); + } + + template<typename OtherDerived, int StoreMode, int LoadMode> + void copyPacket(Index row, Index col, const DenseBase<OtherDerived>& other) + { + OtherDerived& _other = other.const_cast_derived(); + eigen_internal_assert(row >= 0 && row < rows() + && col >= 0 && col < cols()); + m_matrix.template writePacket<StoreMode>(row, col, + m_functor.packetOp(m_matrix.template packet<StoreMode>(row, col),_other.template packet<LoadMode>(row, col)) ); + } + + template<typename OtherDerived, int StoreMode, int LoadMode> + void copyPacket(Index index, const DenseBase<OtherDerived>& other) + { + OtherDerived& _other = other.const_cast_derived(); + eigen_internal_assert(index >= 0 && index < m_matrix.size()); + m_matrix.template writePacket<StoreMode>(index, + m_functor.packetOp(m_matrix.template packet<StoreMode>(index),_other.template packet<LoadMode>(index)) ); + } + + // reimplement lazyAssign to handle complex *= real + // see CwiseBinaryOp ctor for details + template<typename RhsDerived> + EIGEN_STRONG_INLINE SelfCwiseBinaryOp& lazyAssign(const DenseBase<RhsDerived>& rhs) + { + EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Lhs,RhsDerived) + EIGEN_CHECK_BINARY_COMPATIBILIY(BinaryOp,typename Lhs::Scalar,typename RhsDerived::Scalar); + + #ifdef EIGEN_DEBUG_ASSIGN + internal::assign_traits<SelfCwiseBinaryOp, RhsDerived>::debug(); + #endif + eigen_assert(rows() == rhs.rows() && cols() == rhs.cols()); + internal::assign_impl<SelfCwiseBinaryOp, RhsDerived>::run(*this,rhs.derived()); + #ifndef EIGEN_NO_DEBUG + this->checkTransposeAliasing(rhs.derived()); + #endif + return *this; + } + + // overloaded to honor evaluation of special matrices + // maybe another solution would be to not use SelfCwiseBinaryOp + // at first... + SelfCwiseBinaryOp& operator=(const Rhs& _rhs) + { + typename internal::nested<Rhs>::type rhs(_rhs); + return Base::operator=(rhs); + } + + Lhs& expression() const + { + return m_matrix; + } + + const BinaryOp& functor() const + { + return m_functor; + } + + protected: + Lhs& m_matrix; + const BinaryOp& m_functor; + + private: + SelfCwiseBinaryOp& operator=(const SelfCwiseBinaryOp&); +}; + +template<typename Derived> +inline Derived& DenseBase<Derived>::operator*=(const Scalar& other) +{ + typedef typename Derived::PlainObject PlainObject; + SelfCwiseBinaryOp<internal::scalar_product_op<Scalar>, Derived, typename PlainObject::ConstantReturnType> tmp(derived()); + tmp = PlainObject::Constant(rows(),cols(),other); + return derived(); +} + +template<typename Derived> +inline Derived& DenseBase<Derived>::operator/=(const Scalar& other) +{ + typedef typename internal::conditional<NumTraits<Scalar>::IsInteger, + internal::scalar_quotient_op<Scalar>, + internal::scalar_product_op<Scalar> >::type BinOp; + typedef typename Derived::PlainObject PlainObject; + SelfCwiseBinaryOp<BinOp, Derived, typename PlainObject::ConstantReturnType> tmp(derived()); + tmp = PlainObject::Constant(rows(),cols(), NumTraits<Scalar>::IsInteger ? other : Scalar(1)/other); + return derived(); +} + +} // end namespace Eigen + +#endif // EIGEN_SELFCWISEBINARYOP_H |