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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, 0 insertions, 226 deletions
diff --git a/third_party/eigen3/Eigen/src/Core/SelfCwiseBinaryOp.h b/third_party/eigen3/Eigen/src/Core/SelfCwiseBinaryOp.h deleted file mode 100644 index 65864adf84..0000000000 --- a/third_party/eigen3/Eigen/src/Core/SelfCwiseBinaryOp.h +++ /dev/null @@ -1,226 +0,0 @@ -// 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 |