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Diffstat (limited to 'third_party/eigen3/Eigen/src/Core/SelfCwiseBinaryOp.h')
| -rw-r--r-- | third_party/eigen3/Eigen/src/Core/SelfCwiseBinaryOp.h | 226 |
1 files changed, 226 insertions, 0 deletions
diff --git a/third_party/eigen3/Eigen/src/Core/SelfCwiseBinaryOp.h b/third_party/eigen3/Eigen/src/Core/SelfCwiseBinaryOp.h new file mode 100644 index 0000000000..65864adf84 --- /dev/null +++ b/third_party/eigen3/Eigen/src/Core/SelfCwiseBinaryOp.h @@ -0,0 +1,226 @@ +// 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&AlignedBit) | (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; + + EIGEN_DEVICE_FUNC + inline SelfCwiseBinaryOp(Lhs& xpr, const BinaryOp& func = BinaryOp()) : m_matrix(xpr), m_functor(func) {} + + EIGEN_DEVICE_FUNC inline Index rows() const { return m_matrix.rows(); } + EIGEN_DEVICE_FUNC inline Index cols() const { return m_matrix.cols(); } + EIGEN_DEVICE_FUNC inline Index outerStride() const { return m_matrix.outerStride(); } + EIGEN_DEVICE_FUNC inline Index innerStride() const { return m_matrix.innerStride(); } + EIGEN_DEVICE_FUNC 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() + EIGEN_DEVICE_FUNC + inline Scalar& coeffRef(Index row, Index col) + { + EIGEN_STATIC_ASSERT_LVALUE(Lhs) + return m_matrix.const_cast_derived().coeffRef(row, col); + } + EIGEN_DEVICE_FUNC + 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() + EIGEN_DEVICE_FUNC + inline Scalar& coeffRef(Index index) + { + EIGEN_STATIC_ASSERT_LVALUE(Lhs) + return m_matrix.const_cast_derived().coeffRef(index); + } + EIGEN_DEVICE_FUNC + inline const Scalar& coeffRef(Index index) const + { + return m_matrix.const_cast_derived().coeffRef(index); + } + + template<typename OtherDerived> + EIGEN_DEVICE_FUNC + 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> + EIGEN_DEVICE_FUNC + 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_DEVICE_FUNC + 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... + EIGEN_DEVICE_FUNC + SelfCwiseBinaryOp& operator=(const Rhs& _rhs) + { + typename internal::nested<Rhs>::type rhs(_rhs); + return Base::operator=(rhs); + } + + EIGEN_DEVICE_FUNC + Lhs& expression() const + { + return m_matrix; + } + + EIGEN_DEVICE_FUNC + 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& ArrayBase<Derived>::operator+=(const Scalar& other) +{ + typedef typename Derived::PlainObject PlainObject; + SelfCwiseBinaryOp<internal::scalar_sum_op<Scalar>, Derived, typename PlainObject::ConstantReturnType> tmp(derived()); + tmp = PlainObject::Constant(rows(),cols(),other); + return derived(); +} + +template<typename Derived> +inline Derived& ArrayBase<Derived>::operator-=(const Scalar& other) +{ + typedef typename Derived::PlainObject PlainObject; + SelfCwiseBinaryOp<internal::scalar_difference_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()); + Scalar actual_other; + if(NumTraits<Scalar>::IsInteger) actual_other = other; + else actual_other = Scalar(1)/other; + tmp = PlainObject::Constant(rows(),cols(), actual_other); + return derived(); +} + +} // end namespace Eigen + +#endif // EIGEN_SELFCWISEBINARYOP_H |