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1748 lines
63 KiB
C++
1748 lines
63 KiB
C++
// 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) 2011 Benoit Jacob <jacob.benoit.1@gmail.com>
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// Copyright (C) 2011-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
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// Copyright (C) 2011-2012 Jitse Niesen <jitse@maths.leeds.ac.uk>
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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_COREEVALUATORS_H
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#define EIGEN_COREEVALUATORS_H
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namespace Eigen {
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namespace internal {
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// This class returns the evaluator kind from the expression storage kind.
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// Default assumes index based accessors
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template<typename StorageKind>
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struct storage_kind_to_evaluator_kind {
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typedef IndexBased Kind;
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};
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// This class returns the evaluator shape from the expression storage kind.
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// It can be Dense, Sparse, Triangular, Diagonal, SelfAdjoint, Band, etc.
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template<typename StorageKind> struct storage_kind_to_shape;
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template<> struct storage_kind_to_shape<Dense> { typedef DenseShape Shape; };
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template<> struct storage_kind_to_shape<SolverStorage> { typedef SolverShape Shape; };
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template<> struct storage_kind_to_shape<PermutationStorage> { typedef PermutationShape Shape; };
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template<> struct storage_kind_to_shape<TranspositionsStorage> { typedef TranspositionsShape Shape; };
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// Evaluators have to be specialized with respect to various criteria such as:
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// - storage/structure/shape
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// - scalar type
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// - etc.
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// Therefore, we need specialization of evaluator providing additional template arguments for each kind of evaluators.
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// We currently distinguish the following kind of evaluators:
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// - unary_evaluator for expressions taking only one arguments (CwiseUnaryOp, CwiseUnaryView, Transpose, MatrixWrapper, ArrayWrapper, Reverse, Replicate)
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// - binary_evaluator for expression taking two arguments (CwiseBinaryOp)
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// - ternary_evaluator for expression taking three arguments (CwiseTernaryOp)
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// - product_evaluator for linear algebra products (Product); special case of binary_evaluator because it requires additional tags for dispatching.
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// - mapbase_evaluator for Map, Block, Ref
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// - block_evaluator for Block (special dispatching to a mapbase_evaluator or unary_evaluator)
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template< typename T,
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typename Arg1Kind = typename evaluator_traits<typename T::Arg1>::Kind,
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typename Arg2Kind = typename evaluator_traits<typename T::Arg2>::Kind,
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typename Arg3Kind = typename evaluator_traits<typename T::Arg3>::Kind,
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typename Arg1Scalar = typename traits<typename T::Arg1>::Scalar,
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typename Arg2Scalar = typename traits<typename T::Arg2>::Scalar,
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typename Arg3Scalar = typename traits<typename T::Arg3>::Scalar> struct ternary_evaluator;
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template< typename T,
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typename LhsKind = typename evaluator_traits<typename T::Lhs>::Kind,
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typename RhsKind = typename evaluator_traits<typename T::Rhs>::Kind,
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typename LhsScalar = typename traits<typename T::Lhs>::Scalar,
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typename RhsScalar = typename traits<typename T::Rhs>::Scalar> struct binary_evaluator;
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template< typename T,
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typename Kind = typename evaluator_traits<typename T::NestedExpression>::Kind,
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typename Scalar = typename T::Scalar> struct unary_evaluator;
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// evaluator_traits<T> contains traits for evaluator<T>
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template<typename T>
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struct evaluator_traits_base
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{
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// by default, get evaluator kind and shape from storage
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typedef typename storage_kind_to_evaluator_kind<typename traits<T>::StorageKind>::Kind Kind;
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typedef typename storage_kind_to_shape<typename traits<T>::StorageKind>::Shape Shape;
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};
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// Default evaluator traits
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template<typename T>
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struct evaluator_traits : public evaluator_traits_base<T>
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{
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};
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template<typename T, typename Shape = typename evaluator_traits<T>::Shape >
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struct evaluator_assume_aliasing {
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static const bool value = false;
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};
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// By default, we assume a unary expression:
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template<typename T>
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struct evaluator : public unary_evaluator<T>
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{
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typedef unary_evaluator<T> Base;
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EIGEN_DEVICE_FUNC explicit evaluator(const T& xpr) : Base(xpr) {}
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};
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// TODO: Think about const-correctness
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template<typename T>
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struct evaluator<const T>
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: evaluator<T>
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{
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EIGEN_DEVICE_FUNC
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explicit evaluator(const T& xpr) : evaluator<T>(xpr) {}
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};
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// ---------- base class for all evaluators ----------
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template<typename ExpressionType>
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struct evaluator_base
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{
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// TODO that's not very nice to have to propagate all these traits. They are currently only needed to handle outer,inner indices.
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typedef traits<ExpressionType> ExpressionTraits;
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enum {
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Alignment = 0
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};
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// noncopyable:
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// Don't make this class inherit noncopyable as this kills EBO (Empty Base Optimization)
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// and make complex evaluator much larger than then should do.
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE evaluator_base() {}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ~evaluator_base() {}
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private:
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EIGEN_DEVICE_FUNC evaluator_base(const evaluator_base&);
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EIGEN_DEVICE_FUNC const evaluator_base& operator=(const evaluator_base&);
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};
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// -------------------- Matrix and Array --------------------
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//
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// evaluator<PlainObjectBase> is a common base class for the
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// Matrix and Array evaluators.
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// Here we directly specialize evaluator. This is not really a unary expression, and it is, by definition, dense,
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// so no need for more sophisticated dispatching.
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// this helper permits to completely eliminate m_outerStride if it is known at compiletime.
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template<typename Scalar,int OuterStride> class plainobjectbase_evaluator_data {
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public:
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EIGEN_DEVICE_FUNC plainobjectbase_evaluator_data(const Scalar* ptr, Index outerStride) : data(ptr)
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{
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#ifndef EIGEN_INTERNAL_DEBUGGING
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EIGEN_UNUSED_VARIABLE(outerStride);
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#endif
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eigen_internal_assert(outerStride==OuterStride);
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}
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EIGEN_DEVICE_FUNC Index outerStride() const { return OuterStride; }
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const Scalar *data;
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};
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template<typename Scalar> class plainobjectbase_evaluator_data<Scalar,Dynamic> {
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public:
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EIGEN_DEVICE_FUNC plainobjectbase_evaluator_data(const Scalar* ptr, Index outerStride) : data(ptr), m_outerStride(outerStride) {}
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EIGEN_DEVICE_FUNC Index outerStride() const { return m_outerStride; }
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const Scalar *data;
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protected:
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Index m_outerStride;
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};
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template<typename Derived>
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struct evaluator<PlainObjectBase<Derived> >
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: evaluator_base<Derived>
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{
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typedef PlainObjectBase<Derived> PlainObjectType;
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typedef typename PlainObjectType::Scalar Scalar;
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typedef typename PlainObjectType::CoeffReturnType CoeffReturnType;
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enum {
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IsRowMajor = PlainObjectType::IsRowMajor,
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IsVectorAtCompileTime = PlainObjectType::IsVectorAtCompileTime,
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RowsAtCompileTime = PlainObjectType::RowsAtCompileTime,
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ColsAtCompileTime = PlainObjectType::ColsAtCompileTime,
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CoeffReadCost = NumTraits<Scalar>::ReadCost,
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Flags = traits<Derived>::EvaluatorFlags,
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Alignment = traits<Derived>::Alignment
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};
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enum {
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// We do not need to know the outer stride for vectors
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OuterStrideAtCompileTime = IsVectorAtCompileTime ? 0
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: int(IsRowMajor) ? ColsAtCompileTime
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: RowsAtCompileTime
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};
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EIGEN_DEVICE_FUNC evaluator()
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: m_d(0,OuterStrideAtCompileTime)
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{
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EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
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}
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EIGEN_DEVICE_FUNC explicit evaluator(const PlainObjectType& m)
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: m_d(m.data(),IsVectorAtCompileTime ? 0 : m.outerStride())
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{
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EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
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}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
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CoeffReturnType coeff(Index row, Index col) const
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{
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if (IsRowMajor)
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return m_d.data[row * m_d.outerStride() + col];
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else
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return m_d.data[row + col * m_d.outerStride()];
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}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
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CoeffReturnType coeff(Index index) const
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{
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return m_d.data[index];
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}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
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Scalar& coeffRef(Index row, Index col)
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{
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if (IsRowMajor)
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return const_cast<Scalar*>(m_d.data)[row * m_d.outerStride() + col];
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else
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return const_cast<Scalar*>(m_d.data)[row + col * m_d.outerStride()];
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}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
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Scalar& coeffRef(Index index)
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{
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return const_cast<Scalar*>(m_d.data)[index];
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}
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template<int LoadMode, typename PacketType>
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EIGEN_STRONG_INLINE
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PacketType packet(Index row, Index col) const
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{
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if (IsRowMajor)
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return ploadt<PacketType, LoadMode>(m_d.data + row * m_d.outerStride() + col);
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else
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return ploadt<PacketType, LoadMode>(m_d.data + row + col * m_d.outerStride());
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}
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template<int LoadMode, typename PacketType>
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EIGEN_STRONG_INLINE
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PacketType packet(Index index) const
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{
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return ploadt<PacketType, LoadMode>(m_d.data + index);
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}
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template<int StoreMode,typename PacketType>
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EIGEN_STRONG_INLINE
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void writePacket(Index row, Index col, const PacketType& x)
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{
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if (IsRowMajor)
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return pstoret<Scalar, PacketType, StoreMode>
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(const_cast<Scalar*>(m_d.data) + row * m_d.outerStride() + col, x);
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else
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return pstoret<Scalar, PacketType, StoreMode>
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(const_cast<Scalar*>(m_d.data) + row + col * m_d.outerStride(), x);
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}
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template<int StoreMode, typename PacketType>
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EIGEN_STRONG_INLINE
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void writePacket(Index index, const PacketType& x)
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{
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return pstoret<Scalar, PacketType, StoreMode>(const_cast<Scalar*>(m_d.data) + index, x);
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}
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protected:
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plainobjectbase_evaluator_data<Scalar,OuterStrideAtCompileTime> m_d;
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};
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template<typename Scalar, int Rows, int Cols, int Options, int MaxRows, int MaxCols>
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struct evaluator<Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
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: evaluator<PlainObjectBase<Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> > >
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{
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typedef Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> XprType;
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EIGEN_DEVICE_FUNC evaluator() {}
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EIGEN_DEVICE_FUNC explicit evaluator(const XprType& m)
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: evaluator<PlainObjectBase<XprType> >(m)
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{ }
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};
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template<typename Scalar, int Rows, int Cols, int Options, int MaxRows, int MaxCols>
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struct evaluator<Array<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
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: evaluator<PlainObjectBase<Array<Scalar, Rows, Cols, Options, MaxRows, MaxCols> > >
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{
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typedef Array<Scalar, Rows, Cols, Options, MaxRows, MaxCols> XprType;
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EIGEN_DEVICE_FUNC evaluator() {}
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EIGEN_DEVICE_FUNC explicit evaluator(const XprType& m)
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: evaluator<PlainObjectBase<XprType> >(m)
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{ }
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};
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// -------------------- Transpose --------------------
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template<typename ArgType>
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struct unary_evaluator<Transpose<ArgType>, IndexBased>
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: evaluator_base<Transpose<ArgType> >
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{
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typedef Transpose<ArgType> XprType;
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enum {
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CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
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Flags = evaluator<ArgType>::Flags ^ RowMajorBit,
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Alignment = evaluator<ArgType>::Alignment
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};
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EIGEN_DEVICE_FUNC explicit unary_evaluator(const XprType& t) : m_argImpl(t.nestedExpression()) {}
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typedef typename XprType::Scalar Scalar;
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typedef typename XprType::CoeffReturnType CoeffReturnType;
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
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CoeffReturnType coeff(Index row, Index col) const
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{
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return m_argImpl.coeff(col, row);
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}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
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CoeffReturnType coeff(Index index) const
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{
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return m_argImpl.coeff(index);
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}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
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Scalar& coeffRef(Index row, Index col)
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{
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return m_argImpl.coeffRef(col, row);
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}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
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typename XprType::Scalar& coeffRef(Index index)
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{
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return m_argImpl.coeffRef(index);
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}
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template<int LoadMode, typename PacketType>
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EIGEN_STRONG_INLINE
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PacketType packet(Index row, Index col) const
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{
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return m_argImpl.template packet<LoadMode,PacketType>(col, row);
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}
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template<int LoadMode, typename PacketType>
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EIGEN_STRONG_INLINE
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PacketType packet(Index index) const
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{
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return m_argImpl.template packet<LoadMode,PacketType>(index);
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}
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template<int StoreMode, typename PacketType>
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EIGEN_STRONG_INLINE
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void writePacket(Index row, Index col, const PacketType& x)
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{
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m_argImpl.template writePacket<StoreMode,PacketType>(col, row, x);
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}
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template<int StoreMode, typename PacketType>
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EIGEN_STRONG_INLINE
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void writePacket(Index index, const PacketType& x)
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{
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m_argImpl.template writePacket<StoreMode,PacketType>(index, x);
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}
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protected:
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evaluator<ArgType> m_argImpl;
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};
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// -------------------- CwiseNullaryOp --------------------
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// Like Matrix and Array, this is not really a unary expression, so we directly specialize evaluator.
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// Likewise, there is not need to more sophisticated dispatching here.
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template<typename Scalar,typename NullaryOp,
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bool has_nullary = has_nullary_operator<NullaryOp>::value,
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bool has_unary = has_unary_operator<NullaryOp>::value,
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bool has_binary = has_binary_operator<NullaryOp>::value>
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struct nullary_wrapper
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{
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template <typename IndexType>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator()(const NullaryOp& op, IndexType i, IndexType j) const { return op(i,j); }
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template <typename IndexType>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator()(const NullaryOp& op, IndexType i) const { return op(i); }
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template <typename T, typename IndexType> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType i, IndexType j) const { return op.template packetOp<T>(i,j); }
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template <typename T, typename IndexType> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType i) const { return op.template packetOp<T>(i); }
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};
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template<typename Scalar,typename NullaryOp>
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struct nullary_wrapper<Scalar,NullaryOp,true,false,false>
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{
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template <typename IndexType>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator()(const NullaryOp& op, IndexType=0, IndexType=0) const { return op(); }
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template <typename T, typename IndexType> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType=0, IndexType=0) const { return op.template packetOp<T>(); }
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};
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template<typename Scalar,typename NullaryOp>
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struct nullary_wrapper<Scalar,NullaryOp,false,false,true>
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{
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template <typename IndexType>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator()(const NullaryOp& op, IndexType i, IndexType j=0) const { return op(i,j); }
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template <typename T, typename IndexType> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType i, IndexType j=0) const { return op.template packetOp<T>(i,j); }
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};
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// We need the following specialization for vector-only functors assigned to a runtime vector,
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// for instance, using linspace and assigning a RowVectorXd to a MatrixXd or even a row of a MatrixXd.
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// In this case, i==0 and j is used for the actual iteration.
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template<typename Scalar,typename NullaryOp>
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struct nullary_wrapper<Scalar,NullaryOp,false,true,false>
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{
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template <typename IndexType>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator()(const NullaryOp& op, IndexType i, IndexType j) const {
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eigen_assert(i==0 || j==0);
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return op(i+j);
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}
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template <typename T, typename IndexType> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType i, IndexType j) const {
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eigen_assert(i==0 || j==0);
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return op.template packetOp<T>(i+j);
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}
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template <typename IndexType>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator()(const NullaryOp& op, IndexType i) const { return op(i); }
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template <typename T, typename IndexType>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType i) const { return op.template packetOp<T>(i); }
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};
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template<typename Scalar,typename NullaryOp>
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struct nullary_wrapper<Scalar,NullaryOp,false,false,false> {};
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#if 0 && EIGEN_COMP_MSVC>0
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// Disable this ugly workaround. This is now handled in traits<Ref>::match,
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// but this piece of code might still become handly if some other weird compilation
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// erros pop up again.
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// MSVC exhibits a weird compilation error when
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// compiling:
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// Eigen::MatrixXf A = MatrixXf::Random(3,3);
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// Ref<const MatrixXf> R = 2.f*A;
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// and that has_*ary_operator<scalar_constant_op<float>> have not been instantiated yet.
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// The "problem" is that evaluator<2.f*A> is instantiated by traits<Ref>::match<2.f*A>
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// and at that time has_*ary_operator<T> returns true regardless of T.
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// Then nullary_wrapper is badly instantiated as nullary_wrapper<.,.,true,true,true>.
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// The trick is thus to defer the proper instantiation of nullary_wrapper when coeff(),
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// and packet() are really instantiated as implemented below:
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// This is a simple wrapper around Index to enforce the re-instantiation of
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// has_*ary_operator when needed.
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template<typename T> struct nullary_wrapper_workaround_msvc {
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nullary_wrapper_workaround_msvc(const T&);
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operator T()const;
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};
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template<typename Scalar,typename NullaryOp>
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struct nullary_wrapper<Scalar,NullaryOp,true,true,true>
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{
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template <typename IndexType>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator()(const NullaryOp& op, IndexType i, IndexType j) const {
|
|
return nullary_wrapper<Scalar,NullaryOp,
|
|
has_nullary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value,
|
|
has_unary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value,
|
|
has_binary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value>().operator()(op,i,j);
|
|
}
|
|
template <typename IndexType>
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator()(const NullaryOp& op, IndexType i) const {
|
|
return nullary_wrapper<Scalar,NullaryOp,
|
|
has_nullary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value,
|
|
has_unary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value,
|
|
has_binary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value>().operator()(op,i);
|
|
}
|
|
|
|
template <typename T, typename IndexType>
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType i, IndexType j) const {
|
|
return nullary_wrapper<Scalar,NullaryOp,
|
|
has_nullary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value,
|
|
has_unary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value,
|
|
has_binary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value>().template packetOp<T>(op,i,j);
|
|
}
|
|
template <typename T, typename IndexType>
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType i) const {
|
|
return nullary_wrapper<Scalar,NullaryOp,
|
|
has_nullary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value,
|
|
has_unary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value,
|
|
has_binary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value>().template packetOp<T>(op,i);
|
|
}
|
|
};
|
|
#endif // MSVC workaround
|
|
|
|
template<typename NullaryOp, typename PlainObjectType>
|
|
struct evaluator<CwiseNullaryOp<NullaryOp,PlainObjectType> >
|
|
: evaluator_base<CwiseNullaryOp<NullaryOp,PlainObjectType> >
|
|
{
|
|
typedef CwiseNullaryOp<NullaryOp,PlainObjectType> XprType;
|
|
typedef typename internal::remove_all<PlainObjectType>::type PlainObjectTypeCleaned;
|
|
|
|
enum {
|
|
CoeffReadCost = internal::functor_traits<NullaryOp>::Cost,
|
|
|
|
Flags = (evaluator<PlainObjectTypeCleaned>::Flags
|
|
& ( HereditaryBits
|
|
| (functor_has_linear_access<NullaryOp>::ret ? LinearAccessBit : 0)
|
|
| (functor_traits<NullaryOp>::PacketAccess ? PacketAccessBit : 0)))
|
|
| (functor_traits<NullaryOp>::IsRepeatable ? 0 : EvalBeforeNestingBit),
|
|
Alignment = AlignedMax
|
|
};
|
|
|
|
EIGEN_DEVICE_FUNC explicit evaluator(const XprType& n)
|
|
: m_functor(n.functor()), m_wrapper()
|
|
{
|
|
EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
|
|
}
|
|
|
|
typedef typename XprType::CoeffReturnType CoeffReturnType;
|
|
|
|
template <typename IndexType>
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(IndexType row, IndexType col) const
|
|
{
|
|
return m_wrapper(m_functor, row, col);
|
|
}
|
|
|
|
template <typename IndexType>
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(IndexType index) const
|
|
{
|
|
return m_wrapper(m_functor,index);
|
|
}
|
|
|
|
template<int LoadMode, typename PacketType, typename IndexType>
|
|
EIGEN_STRONG_INLINE
|
|
PacketType packet(IndexType row, IndexType col) const
|
|
{
|
|
return m_wrapper.template packetOp<PacketType>(m_functor, row, col);
|
|
}
|
|
|
|
template<int LoadMode, typename PacketType, typename IndexType>
|
|
EIGEN_STRONG_INLINE
|
|
PacketType packet(IndexType index) const
|
|
{
|
|
return m_wrapper.template packetOp<PacketType>(m_functor, index);
|
|
}
|
|
|
|
protected:
|
|
const NullaryOp m_functor;
|
|
const internal::nullary_wrapper<CoeffReturnType,NullaryOp> m_wrapper;
|
|
};
|
|
|
|
// -------------------- CwiseUnaryOp --------------------
|
|
|
|
template<typename UnaryOp, typename ArgType>
|
|
struct unary_evaluator<CwiseUnaryOp<UnaryOp, ArgType>, IndexBased >
|
|
: evaluator_base<CwiseUnaryOp<UnaryOp, ArgType> >
|
|
{
|
|
typedef CwiseUnaryOp<UnaryOp, ArgType> XprType;
|
|
|
|
enum {
|
|
CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
|
|
|
|
Flags = evaluator<ArgType>::Flags
|
|
& (HereditaryBits | LinearAccessBit | (functor_traits<UnaryOp>::PacketAccess ? PacketAccessBit : 0)),
|
|
Alignment = evaluator<ArgType>::Alignment
|
|
};
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
explicit unary_evaluator(const XprType& op) : m_d(op)
|
|
{
|
|
EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<UnaryOp>::Cost);
|
|
EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
|
|
}
|
|
|
|
typedef typename XprType::CoeffReturnType CoeffReturnType;
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index row, Index col) const
|
|
{
|
|
return m_d.func()(m_d.argImpl.coeff(row, col));
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index index) const
|
|
{
|
|
return m_d.func()(m_d.argImpl.coeff(index));
|
|
}
|
|
|
|
template<int LoadMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
PacketType packet(Index row, Index col) const
|
|
{
|
|
return m_d.func().packetOp(m_d.argImpl.template packet<LoadMode, PacketType>(row, col));
|
|
}
|
|
|
|
template<int LoadMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
PacketType packet(Index index) const
|
|
{
|
|
return m_d.func().packetOp(m_d.argImpl.template packet<LoadMode, PacketType>(index));
|
|
}
|
|
|
|
protected:
|
|
|
|
// this helper permits to completely eliminate the functor if it is empty
|
|
class Data : private UnaryOp
|
|
{
|
|
public:
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
Data(const XprType& xpr) : UnaryOp(xpr.functor()), argImpl(xpr.nestedExpression()) {}
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
const UnaryOp& func() const { return static_cast<const UnaryOp&>(*this); }
|
|
evaluator<ArgType> argImpl;
|
|
};
|
|
|
|
Data m_d;
|
|
};
|
|
|
|
// -------------------- CwiseTernaryOp --------------------
|
|
|
|
// this is a ternary expression
|
|
template<typename TernaryOp, typename Arg1, typename Arg2, typename Arg3>
|
|
struct evaluator<CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3> >
|
|
: public ternary_evaluator<CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3> >
|
|
{
|
|
typedef CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3> XprType;
|
|
typedef ternary_evaluator<CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3> > Base;
|
|
|
|
EIGEN_DEVICE_FUNC explicit evaluator(const XprType& xpr) : Base(xpr) {}
|
|
};
|
|
|
|
template<typename TernaryOp, typename Arg1, typename Arg2, typename Arg3>
|
|
struct ternary_evaluator<CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3>, IndexBased, IndexBased>
|
|
: evaluator_base<CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3> >
|
|
{
|
|
typedef CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3> XprType;
|
|
|
|
enum {
|
|
CoeffReadCost = evaluator<Arg1>::CoeffReadCost + evaluator<Arg2>::CoeffReadCost + evaluator<Arg3>::CoeffReadCost + functor_traits<TernaryOp>::Cost,
|
|
|
|
Arg1Flags = evaluator<Arg1>::Flags,
|
|
Arg2Flags = evaluator<Arg2>::Flags,
|
|
Arg3Flags = evaluator<Arg3>::Flags,
|
|
SameType = is_same<typename Arg1::Scalar,typename Arg2::Scalar>::value && is_same<typename Arg1::Scalar,typename Arg3::Scalar>::value,
|
|
StorageOrdersAgree = (int(Arg1Flags)&RowMajorBit)==(int(Arg2Flags)&RowMajorBit) && (int(Arg1Flags)&RowMajorBit)==(int(Arg3Flags)&RowMajorBit),
|
|
Flags0 = (int(Arg1Flags) | int(Arg2Flags) | int(Arg3Flags)) & (
|
|
HereditaryBits
|
|
| (int(Arg1Flags) & int(Arg2Flags) & int(Arg3Flags) &
|
|
( (StorageOrdersAgree ? LinearAccessBit : 0)
|
|
| (functor_traits<TernaryOp>::PacketAccess && StorageOrdersAgree && SameType ? PacketAccessBit : 0)
|
|
)
|
|
)
|
|
),
|
|
Flags = (Flags0 & ~RowMajorBit) | (Arg1Flags & RowMajorBit),
|
|
Alignment = EIGEN_PLAIN_ENUM_MIN(
|
|
EIGEN_PLAIN_ENUM_MIN(evaluator<Arg1>::Alignment, evaluator<Arg2>::Alignment),
|
|
evaluator<Arg3>::Alignment)
|
|
};
|
|
|
|
EIGEN_DEVICE_FUNC explicit ternary_evaluator(const XprType& xpr) : m_d(xpr)
|
|
{
|
|
EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<TernaryOp>::Cost);
|
|
EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
|
|
}
|
|
|
|
typedef typename XprType::CoeffReturnType CoeffReturnType;
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index row, Index col) const
|
|
{
|
|
return m_d.func()(m_d.arg1Impl.coeff(row, col), m_d.arg2Impl.coeff(row, col), m_d.arg3Impl.coeff(row, col));
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index index) const
|
|
{
|
|
return m_d.func()(m_d.arg1Impl.coeff(index), m_d.arg2Impl.coeff(index), m_d.arg3Impl.coeff(index));
|
|
}
|
|
|
|
template<int LoadMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
PacketType packet(Index row, Index col) const
|
|
{
|
|
return m_d.func().packetOp(m_d.arg1Impl.template packet<LoadMode,PacketType>(row, col),
|
|
m_d.arg2Impl.template packet<LoadMode,PacketType>(row, col),
|
|
m_d.arg3Impl.template packet<LoadMode,PacketType>(row, col));
|
|
}
|
|
|
|
template<int LoadMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
PacketType packet(Index index) const
|
|
{
|
|
return m_d.func().packetOp(m_d.arg1Impl.template packet<LoadMode,PacketType>(index),
|
|
m_d.arg2Impl.template packet<LoadMode,PacketType>(index),
|
|
m_d.arg3Impl.template packet<LoadMode,PacketType>(index));
|
|
}
|
|
|
|
protected:
|
|
// this helper permits to completely eliminate the functor if it is empty
|
|
struct Data : private TernaryOp
|
|
{
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
Data(const XprType& xpr) : TernaryOp(xpr.functor()), arg1Impl(xpr.arg1()), arg2Impl(xpr.arg2()), arg3Impl(xpr.arg3()) {}
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
const TernaryOp& func() const { return static_cast<const TernaryOp&>(*this); }
|
|
evaluator<Arg1> arg1Impl;
|
|
evaluator<Arg2> arg2Impl;
|
|
evaluator<Arg3> arg3Impl;
|
|
};
|
|
|
|
Data m_d;
|
|
};
|
|
|
|
// -------------------- CwiseBinaryOp --------------------
|
|
|
|
// this is a binary expression
|
|
template<typename BinaryOp, typename Lhs, typename Rhs>
|
|
struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
|
|
: public binary_evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
|
|
{
|
|
typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> XprType;
|
|
typedef binary_evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > Base;
|
|
|
|
EIGEN_DEVICE_FUNC explicit evaluator(const XprType& xpr) : Base(xpr) {}
|
|
};
|
|
|
|
template<typename BinaryOp, typename Lhs, typename Rhs>
|
|
struct binary_evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs>, IndexBased, IndexBased>
|
|
: evaluator_base<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
|
|
{
|
|
typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> XprType;
|
|
|
|
enum {
|
|
CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
|
|
|
|
LhsFlags = evaluator<Lhs>::Flags,
|
|
RhsFlags = evaluator<Rhs>::Flags,
|
|
SameType = is_same<typename Lhs::Scalar,typename Rhs::Scalar>::value,
|
|
StorageOrdersAgree = (int(LhsFlags)&RowMajorBit)==(int(RhsFlags)&RowMajorBit),
|
|
Flags0 = (int(LhsFlags) | int(RhsFlags)) & (
|
|
HereditaryBits
|
|
| (int(LhsFlags) & int(RhsFlags) &
|
|
( (StorageOrdersAgree ? LinearAccessBit : 0)
|
|
| (functor_traits<BinaryOp>::PacketAccess && StorageOrdersAgree && SameType ? PacketAccessBit : 0)
|
|
)
|
|
)
|
|
),
|
|
Flags = (Flags0 & ~RowMajorBit) | (LhsFlags & RowMajorBit),
|
|
Alignment = EIGEN_PLAIN_ENUM_MIN(evaluator<Lhs>::Alignment,evaluator<Rhs>::Alignment)
|
|
};
|
|
|
|
EIGEN_DEVICE_FUNC explicit binary_evaluator(const XprType& xpr) : m_d(xpr)
|
|
{
|
|
EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<BinaryOp>::Cost);
|
|
EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
|
|
}
|
|
|
|
typedef typename XprType::CoeffReturnType CoeffReturnType;
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index row, Index col) const
|
|
{
|
|
return m_d.func()(m_d.lhsImpl.coeff(row, col), m_d.rhsImpl.coeff(row, col));
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index index) const
|
|
{
|
|
return m_d.func()(m_d.lhsImpl.coeff(index), m_d.rhsImpl.coeff(index));
|
|
}
|
|
|
|
template<int LoadMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
PacketType packet(Index row, Index col) const
|
|
{
|
|
return m_d.func().packetOp(m_d.lhsImpl.template packet<LoadMode,PacketType>(row, col),
|
|
m_d.rhsImpl.template packet<LoadMode,PacketType>(row, col));
|
|
}
|
|
|
|
template<int LoadMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
PacketType packet(Index index) const
|
|
{
|
|
return m_d.func().packetOp(m_d.lhsImpl.template packet<LoadMode,PacketType>(index),
|
|
m_d.rhsImpl.template packet<LoadMode,PacketType>(index));
|
|
}
|
|
|
|
protected:
|
|
|
|
// this helper permits to completely eliminate the functor if it is empty
|
|
struct Data : private BinaryOp
|
|
{
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
Data(const XprType& xpr) : BinaryOp(xpr.functor()), lhsImpl(xpr.lhs()), rhsImpl(xpr.rhs()) {}
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
const BinaryOp& func() const { return static_cast<const BinaryOp&>(*this); }
|
|
evaluator<Lhs> lhsImpl;
|
|
evaluator<Rhs> rhsImpl;
|
|
};
|
|
|
|
Data m_d;
|
|
};
|
|
|
|
// -------------------- CwiseUnaryView --------------------
|
|
|
|
template<typename UnaryOp, typename ArgType>
|
|
struct unary_evaluator<CwiseUnaryView<UnaryOp, ArgType>, IndexBased>
|
|
: evaluator_base<CwiseUnaryView<UnaryOp, ArgType> >
|
|
{
|
|
typedef CwiseUnaryView<UnaryOp, ArgType> XprType;
|
|
|
|
enum {
|
|
CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
|
|
|
|
Flags = (evaluator<ArgType>::Flags & (HereditaryBits | LinearAccessBit | DirectAccessBit)),
|
|
|
|
Alignment = 0 // FIXME it is not very clear why alignment is necessarily lost...
|
|
};
|
|
|
|
EIGEN_DEVICE_FUNC explicit unary_evaluator(const XprType& op) : m_d(op)
|
|
{
|
|
EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<UnaryOp>::Cost);
|
|
EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
|
|
}
|
|
|
|
typedef typename XprType::Scalar Scalar;
|
|
typedef typename XprType::CoeffReturnType CoeffReturnType;
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index row, Index col) const
|
|
{
|
|
return m_d.func()(m_d.argImpl.coeff(row, col));
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index index) const
|
|
{
|
|
return m_d.func()(m_d.argImpl.coeff(index));
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
Scalar& coeffRef(Index row, Index col)
|
|
{
|
|
return m_d.func()(m_d.argImpl.coeffRef(row, col));
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
Scalar& coeffRef(Index index)
|
|
{
|
|
return m_d.func()(m_d.argImpl.coeffRef(index));
|
|
}
|
|
|
|
protected:
|
|
|
|
// this helper permits to completely eliminate the functor if it is empty
|
|
struct Data : private UnaryOp
|
|
{
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
Data(const XprType& xpr) : UnaryOp(xpr.functor()), argImpl(xpr.nestedExpression()) {}
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
const UnaryOp& func() const { return static_cast<const UnaryOp&>(*this); }
|
|
evaluator<ArgType> argImpl;
|
|
};
|
|
|
|
Data m_d;
|
|
};
|
|
|
|
// -------------------- Map --------------------
|
|
|
|
// FIXME perhaps the PlainObjectType could be provided by Derived::PlainObject ?
|
|
// but that might complicate template specialization
|
|
template<typename Derived, typename PlainObjectType>
|
|
struct mapbase_evaluator;
|
|
|
|
template<typename Derived, typename PlainObjectType>
|
|
struct mapbase_evaluator : evaluator_base<Derived>
|
|
{
|
|
typedef Derived XprType;
|
|
typedef typename XprType::PointerType PointerType;
|
|
typedef typename XprType::Scalar Scalar;
|
|
typedef typename XprType::CoeffReturnType CoeffReturnType;
|
|
|
|
enum {
|
|
IsRowMajor = XprType::RowsAtCompileTime,
|
|
ColsAtCompileTime = XprType::ColsAtCompileTime,
|
|
CoeffReadCost = NumTraits<Scalar>::ReadCost
|
|
};
|
|
|
|
EIGEN_DEVICE_FUNC explicit mapbase_evaluator(const XprType& map)
|
|
: m_data(const_cast<PointerType>(map.data())),
|
|
m_innerStride(map.innerStride()),
|
|
m_outerStride(map.outerStride())
|
|
{
|
|
EIGEN_STATIC_ASSERT(EIGEN_IMPLIES(evaluator<Derived>::Flags&PacketAccessBit, internal::inner_stride_at_compile_time<Derived>::ret==1),
|
|
PACKET_ACCESS_REQUIRES_TO_HAVE_INNER_STRIDE_FIXED_TO_1);
|
|
EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index row, Index col) const
|
|
{
|
|
return m_data[col * colStride() + row * rowStride()];
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index index) const
|
|
{
|
|
return m_data[index * m_innerStride.value()];
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
Scalar& coeffRef(Index row, Index col)
|
|
{
|
|
return m_data[col * colStride() + row * rowStride()];
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
Scalar& coeffRef(Index index)
|
|
{
|
|
return m_data[index * m_innerStride.value()];
|
|
}
|
|
|
|
template<int LoadMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
PacketType packet(Index row, Index col) const
|
|
{
|
|
PointerType ptr = m_data + row * rowStride() + col * colStride();
|
|
return internal::ploadt<PacketType, LoadMode>(ptr);
|
|
}
|
|
|
|
template<int LoadMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
PacketType packet(Index index) const
|
|
{
|
|
return internal::ploadt<PacketType, LoadMode>(m_data + index * m_innerStride.value());
|
|
}
|
|
|
|
template<int StoreMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
void writePacket(Index row, Index col, const PacketType& x)
|
|
{
|
|
PointerType ptr = m_data + row * rowStride() + col * colStride();
|
|
return internal::pstoret<Scalar, PacketType, StoreMode>(ptr, x);
|
|
}
|
|
|
|
template<int StoreMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
void writePacket(Index index, const PacketType& x)
|
|
{
|
|
internal::pstoret<Scalar, PacketType, StoreMode>(m_data + index * m_innerStride.value(), x);
|
|
}
|
|
protected:
|
|
EIGEN_DEVICE_FUNC
|
|
inline Index rowStride() const { return XprType::IsRowMajor ? m_outerStride.value() : m_innerStride.value(); }
|
|
EIGEN_DEVICE_FUNC
|
|
inline Index colStride() const { return XprType::IsRowMajor ? m_innerStride.value() : m_outerStride.value(); }
|
|
|
|
PointerType m_data;
|
|
const internal::variable_if_dynamic<Index, XprType::InnerStrideAtCompileTime> m_innerStride;
|
|
const internal::variable_if_dynamic<Index, XprType::OuterStrideAtCompileTime> m_outerStride;
|
|
};
|
|
|
|
template<typename PlainObjectType, int MapOptions, typename StrideType>
|
|
struct evaluator<Map<PlainObjectType, MapOptions, StrideType> >
|
|
: public mapbase_evaluator<Map<PlainObjectType, MapOptions, StrideType>, PlainObjectType>
|
|
{
|
|
typedef Map<PlainObjectType, MapOptions, StrideType> XprType;
|
|
typedef typename XprType::Scalar Scalar;
|
|
// TODO: should check for smaller packet types once we can handle multi-sized packet types
|
|
typedef typename packet_traits<Scalar>::type PacketScalar;
|
|
|
|
enum {
|
|
InnerStrideAtCompileTime = StrideType::InnerStrideAtCompileTime == 0
|
|
? int(PlainObjectType::InnerStrideAtCompileTime)
|
|
: int(StrideType::InnerStrideAtCompileTime),
|
|
OuterStrideAtCompileTime = StrideType::OuterStrideAtCompileTime == 0
|
|
? int(PlainObjectType::OuterStrideAtCompileTime)
|
|
: int(StrideType::OuterStrideAtCompileTime),
|
|
HasNoInnerStride = InnerStrideAtCompileTime == 1,
|
|
HasNoOuterStride = StrideType::OuterStrideAtCompileTime == 0,
|
|
HasNoStride = HasNoInnerStride && HasNoOuterStride,
|
|
IsDynamicSize = PlainObjectType::SizeAtCompileTime==Dynamic,
|
|
|
|
PacketAccessMask = bool(HasNoInnerStride) ? ~int(0) : ~int(PacketAccessBit),
|
|
LinearAccessMask = bool(HasNoStride) || bool(PlainObjectType::IsVectorAtCompileTime) ? ~int(0) : ~int(LinearAccessBit),
|
|
Flags = int( evaluator<PlainObjectType>::Flags) & (LinearAccessMask&PacketAccessMask),
|
|
|
|
Alignment = int(MapOptions)&int(AlignedMask)
|
|
};
|
|
|
|
EIGEN_DEVICE_FUNC explicit evaluator(const XprType& map)
|
|
: mapbase_evaluator<XprType, PlainObjectType>(map)
|
|
{ }
|
|
};
|
|
|
|
// -------------------- Ref --------------------
|
|
|
|
template<typename PlainObjectType, int RefOptions, typename StrideType>
|
|
struct evaluator<Ref<PlainObjectType, RefOptions, StrideType> >
|
|
: public mapbase_evaluator<Ref<PlainObjectType, RefOptions, StrideType>, PlainObjectType>
|
|
{
|
|
typedef Ref<PlainObjectType, RefOptions, StrideType> XprType;
|
|
|
|
enum {
|
|
Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
|
|
Alignment = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Alignment
|
|
};
|
|
|
|
EIGEN_DEVICE_FUNC explicit evaluator(const XprType& ref)
|
|
: mapbase_evaluator<XprType, PlainObjectType>(ref)
|
|
{ }
|
|
};
|
|
|
|
// -------------------- Block --------------------
|
|
|
|
template<typename ArgType, int BlockRows, int BlockCols, bool InnerPanel,
|
|
bool HasDirectAccess = internal::has_direct_access<ArgType>::ret> struct block_evaluator;
|
|
|
|
template<typename ArgType, int BlockRows, int BlockCols, bool InnerPanel>
|
|
struct evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
|
|
: block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel>
|
|
{
|
|
typedef Block<ArgType, BlockRows, BlockCols, InnerPanel> XprType;
|
|
typedef typename XprType::Scalar Scalar;
|
|
// TODO: should check for smaller packet types once we can handle multi-sized packet types
|
|
typedef typename packet_traits<Scalar>::type PacketScalar;
|
|
|
|
enum {
|
|
CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
|
|
|
|
RowsAtCompileTime = traits<XprType>::RowsAtCompileTime,
|
|
ColsAtCompileTime = traits<XprType>::ColsAtCompileTime,
|
|
MaxRowsAtCompileTime = traits<XprType>::MaxRowsAtCompileTime,
|
|
MaxColsAtCompileTime = traits<XprType>::MaxColsAtCompileTime,
|
|
|
|
ArgTypeIsRowMajor = (int(evaluator<ArgType>::Flags)&RowMajorBit) != 0,
|
|
IsRowMajor = (MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1) ? 1
|
|
: (MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1) ? 0
|
|
: ArgTypeIsRowMajor,
|
|
HasSameStorageOrderAsArgType = (IsRowMajor == ArgTypeIsRowMajor),
|
|
InnerSize = IsRowMajor ? int(ColsAtCompileTime) : int(RowsAtCompileTime),
|
|
InnerStrideAtCompileTime = HasSameStorageOrderAsArgType
|
|
? int(inner_stride_at_compile_time<ArgType>::ret)
|
|
: int(outer_stride_at_compile_time<ArgType>::ret),
|
|
OuterStrideAtCompileTime = HasSameStorageOrderAsArgType
|
|
? int(outer_stride_at_compile_time<ArgType>::ret)
|
|
: int(inner_stride_at_compile_time<ArgType>::ret),
|
|
MaskPacketAccessBit = (InnerStrideAtCompileTime == 1 || HasSameStorageOrderAsArgType) ? PacketAccessBit : 0,
|
|
|
|
FlagsLinearAccessBit = (RowsAtCompileTime == 1 || ColsAtCompileTime == 1 || (InnerPanel && (evaluator<ArgType>::Flags&LinearAccessBit))) ? LinearAccessBit : 0,
|
|
FlagsRowMajorBit = XprType::Flags&RowMajorBit,
|
|
Flags0 = evaluator<ArgType>::Flags & ( (HereditaryBits & ~RowMajorBit) |
|
|
DirectAccessBit |
|
|
MaskPacketAccessBit),
|
|
Flags = Flags0 | FlagsLinearAccessBit | FlagsRowMajorBit,
|
|
|
|
PacketAlignment = unpacket_traits<PacketScalar>::alignment,
|
|
Alignment0 = (InnerPanel && (OuterStrideAtCompileTime!=Dynamic)
|
|
&& (OuterStrideAtCompileTime!=0)
|
|
&& (((OuterStrideAtCompileTime * int(sizeof(Scalar))) % int(PacketAlignment)) == 0)) ? int(PacketAlignment) : 0,
|
|
Alignment = EIGEN_PLAIN_ENUM_MIN(evaluator<ArgType>::Alignment, Alignment0)
|
|
};
|
|
typedef block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel> block_evaluator_type;
|
|
EIGEN_DEVICE_FUNC explicit evaluator(const XprType& block) : block_evaluator_type(block)
|
|
{
|
|
EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
|
|
}
|
|
};
|
|
|
|
// no direct-access => dispatch to a unary evaluator
|
|
template<typename ArgType, int BlockRows, int BlockCols, bool InnerPanel>
|
|
struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
|
|
: unary_evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
|
|
{
|
|
typedef Block<ArgType, BlockRows, BlockCols, InnerPanel> XprType;
|
|
|
|
EIGEN_DEVICE_FUNC explicit block_evaluator(const XprType& block)
|
|
: unary_evaluator<XprType>(block)
|
|
{}
|
|
};
|
|
|
|
template<typename ArgType, int BlockRows, int BlockCols, bool InnerPanel>
|
|
struct unary_evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel>, IndexBased>
|
|
: evaluator_base<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
|
|
{
|
|
typedef Block<ArgType, BlockRows, BlockCols, InnerPanel> XprType;
|
|
|
|
EIGEN_DEVICE_FUNC explicit unary_evaluator(const XprType& block)
|
|
: m_argImpl(block.nestedExpression()),
|
|
m_startRow(block.startRow()),
|
|
m_startCol(block.startCol()),
|
|
m_linear_offset(InnerPanel?(XprType::IsRowMajor ? block.startRow()*block.cols() : block.startCol()*block.rows()):0)
|
|
{ }
|
|
|
|
typedef typename XprType::Scalar Scalar;
|
|
typedef typename XprType::CoeffReturnType CoeffReturnType;
|
|
|
|
enum {
|
|
RowsAtCompileTime = XprType::RowsAtCompileTime,
|
|
ForwardLinearAccess = InnerPanel && bool(evaluator<ArgType>::Flags&LinearAccessBit)
|
|
};
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index row, Index col) const
|
|
{
|
|
return m_argImpl.coeff(m_startRow.value() + row, m_startCol.value() + col);
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index index) const
|
|
{
|
|
if (ForwardLinearAccess)
|
|
return m_argImpl.coeff(m_linear_offset.value() + index);
|
|
else
|
|
return coeff(RowsAtCompileTime == 1 ? 0 : index, RowsAtCompileTime == 1 ? index : 0);
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
Scalar& coeffRef(Index row, Index col)
|
|
{
|
|
return m_argImpl.coeffRef(m_startRow.value() + row, m_startCol.value() + col);
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
Scalar& coeffRef(Index index)
|
|
{
|
|
if (ForwardLinearAccess)
|
|
return m_argImpl.coeffRef(m_linear_offset.value() + index);
|
|
else
|
|
return coeffRef(RowsAtCompileTime == 1 ? 0 : index, RowsAtCompileTime == 1 ? index : 0);
|
|
}
|
|
|
|
template<int LoadMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
PacketType packet(Index row, Index col) const
|
|
{
|
|
return m_argImpl.template packet<LoadMode,PacketType>(m_startRow.value() + row, m_startCol.value() + col);
|
|
}
|
|
|
|
template<int LoadMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
PacketType packet(Index index) const
|
|
{
|
|
if (ForwardLinearAccess)
|
|
return m_argImpl.template packet<LoadMode,PacketType>(m_linear_offset.value() + index);
|
|
else
|
|
return packet<LoadMode,PacketType>(RowsAtCompileTime == 1 ? 0 : index,
|
|
RowsAtCompileTime == 1 ? index : 0);
|
|
}
|
|
|
|
template<int StoreMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
void writePacket(Index row, Index col, const PacketType& x)
|
|
{
|
|
return m_argImpl.template writePacket<StoreMode,PacketType>(m_startRow.value() + row, m_startCol.value() + col, x);
|
|
}
|
|
|
|
template<int StoreMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
void writePacket(Index index, const PacketType& x)
|
|
{
|
|
if (ForwardLinearAccess)
|
|
return m_argImpl.template writePacket<StoreMode,PacketType>(m_linear_offset.value() + index, x);
|
|
else
|
|
return writePacket<StoreMode,PacketType>(RowsAtCompileTime == 1 ? 0 : index,
|
|
RowsAtCompileTime == 1 ? index : 0,
|
|
x);
|
|
}
|
|
|
|
protected:
|
|
evaluator<ArgType> m_argImpl;
|
|
const variable_if_dynamic<Index, (ArgType::RowsAtCompileTime == 1 && BlockRows==1) ? 0 : Dynamic> m_startRow;
|
|
const variable_if_dynamic<Index, (ArgType::ColsAtCompileTime == 1 && BlockCols==1) ? 0 : Dynamic> m_startCol;
|
|
const variable_if_dynamic<Index, InnerPanel ? Dynamic : 0> m_linear_offset;
|
|
};
|
|
|
|
// TODO: This evaluator does not actually use the child evaluator;
|
|
// all action is via the data() as returned by the Block expression.
|
|
|
|
template<typename ArgType, int BlockRows, int BlockCols, bool InnerPanel>
|
|
struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /* HasDirectAccess */ true>
|
|
: mapbase_evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel>,
|
|
typename Block<ArgType, BlockRows, BlockCols, InnerPanel>::PlainObject>
|
|
{
|
|
typedef Block<ArgType, BlockRows, BlockCols, InnerPanel> XprType;
|
|
typedef typename XprType::Scalar Scalar;
|
|
|
|
EIGEN_DEVICE_FUNC explicit block_evaluator(const XprType& block)
|
|
: mapbase_evaluator<XprType, typename XprType::PlainObject>(block)
|
|
{
|
|
// TODO: for the 3.3 release, this should be turned to an internal assertion, but let's keep it as is for the beta lifetime
|
|
eigen_assert(((internal::UIntPtr(block.data()) % EIGEN_PLAIN_ENUM_MAX(1,evaluator<XprType>::Alignment)) == 0) && "data is not aligned");
|
|
}
|
|
};
|
|
|
|
|
|
// -------------------- Select --------------------
|
|
// NOTE shall we introduce a ternary_evaluator?
|
|
|
|
// TODO enable vectorization for Select
|
|
template<typename ConditionMatrixType, typename ThenMatrixType, typename ElseMatrixType>
|
|
struct evaluator<Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >
|
|
: evaluator_base<Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >
|
|
{
|
|
typedef Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> XprType;
|
|
enum {
|
|
CoeffReadCost = evaluator<ConditionMatrixType>::CoeffReadCost
|
|
+ EIGEN_PLAIN_ENUM_MAX(evaluator<ThenMatrixType>::CoeffReadCost,
|
|
evaluator<ElseMatrixType>::CoeffReadCost),
|
|
|
|
Flags = (unsigned int)evaluator<ThenMatrixType>::Flags & evaluator<ElseMatrixType>::Flags & HereditaryBits,
|
|
|
|
Alignment = EIGEN_PLAIN_ENUM_MIN(evaluator<ThenMatrixType>::Alignment, evaluator<ElseMatrixType>::Alignment)
|
|
};
|
|
|
|
EIGEN_DEVICE_FUNC explicit evaluator(const XprType& select)
|
|
: m_conditionImpl(select.conditionMatrix()),
|
|
m_thenImpl(select.thenMatrix()),
|
|
m_elseImpl(select.elseMatrix())
|
|
{
|
|
EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
|
|
}
|
|
|
|
typedef typename XprType::CoeffReturnType CoeffReturnType;
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index row, Index col) const
|
|
{
|
|
if (m_conditionImpl.coeff(row, col))
|
|
return m_thenImpl.coeff(row, col);
|
|
else
|
|
return m_elseImpl.coeff(row, col);
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index index) const
|
|
{
|
|
if (m_conditionImpl.coeff(index))
|
|
return m_thenImpl.coeff(index);
|
|
else
|
|
return m_elseImpl.coeff(index);
|
|
}
|
|
|
|
protected:
|
|
evaluator<ConditionMatrixType> m_conditionImpl;
|
|
evaluator<ThenMatrixType> m_thenImpl;
|
|
evaluator<ElseMatrixType> m_elseImpl;
|
|
};
|
|
|
|
|
|
// -------------------- Replicate --------------------
|
|
|
|
template<typename ArgType, int RowFactor, int ColFactor>
|
|
struct unary_evaluator<Replicate<ArgType, RowFactor, ColFactor> >
|
|
: evaluator_base<Replicate<ArgType, RowFactor, ColFactor> >
|
|
{
|
|
typedef Replicate<ArgType, RowFactor, ColFactor> XprType;
|
|
typedef typename XprType::CoeffReturnType CoeffReturnType;
|
|
enum {
|
|
Factor = (RowFactor==Dynamic || ColFactor==Dynamic) ? Dynamic : RowFactor*ColFactor
|
|
};
|
|
typedef typename internal::nested_eval<ArgType,Factor>::type ArgTypeNested;
|
|
typedef typename internal::remove_all<ArgTypeNested>::type ArgTypeNestedCleaned;
|
|
|
|
enum {
|
|
CoeffReadCost = evaluator<ArgTypeNestedCleaned>::CoeffReadCost,
|
|
LinearAccessMask = XprType::IsVectorAtCompileTime ? LinearAccessBit : 0,
|
|
Flags = (evaluator<ArgTypeNestedCleaned>::Flags & (HereditaryBits|LinearAccessMask) & ~RowMajorBit) | (traits<XprType>::Flags & RowMajorBit),
|
|
|
|
Alignment = evaluator<ArgTypeNestedCleaned>::Alignment
|
|
};
|
|
|
|
EIGEN_DEVICE_FUNC explicit unary_evaluator(const XprType& replicate)
|
|
: m_arg(replicate.nestedExpression()),
|
|
m_argImpl(m_arg),
|
|
m_rows(replicate.nestedExpression().rows()),
|
|
m_cols(replicate.nestedExpression().cols())
|
|
{}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index row, Index col) const
|
|
{
|
|
// try to avoid using modulo; this is a pure optimization strategy
|
|
const Index actual_row = internal::traits<XprType>::RowsAtCompileTime==1 ? 0
|
|
: RowFactor==1 ? row
|
|
: row % m_rows.value();
|
|
const Index actual_col = internal::traits<XprType>::ColsAtCompileTime==1 ? 0
|
|
: ColFactor==1 ? col
|
|
: col % m_cols.value();
|
|
|
|
return m_argImpl.coeff(actual_row, actual_col);
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index index) const
|
|
{
|
|
// try to avoid using modulo; this is a pure optimization strategy
|
|
const Index actual_index = internal::traits<XprType>::RowsAtCompileTime==1
|
|
? (ColFactor==1 ? index : index%m_cols.value())
|
|
: (RowFactor==1 ? index : index%m_rows.value());
|
|
|
|
return m_argImpl.coeff(actual_index);
|
|
}
|
|
|
|
template<int LoadMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
PacketType packet(Index row, Index col) const
|
|
{
|
|
const Index actual_row = internal::traits<XprType>::RowsAtCompileTime==1 ? 0
|
|
: RowFactor==1 ? row
|
|
: row % m_rows.value();
|
|
const Index actual_col = internal::traits<XprType>::ColsAtCompileTime==1 ? 0
|
|
: ColFactor==1 ? col
|
|
: col % m_cols.value();
|
|
|
|
return m_argImpl.template packet<LoadMode,PacketType>(actual_row, actual_col);
|
|
}
|
|
|
|
template<int LoadMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
PacketType packet(Index index) const
|
|
{
|
|
const Index actual_index = internal::traits<XprType>::RowsAtCompileTime==1
|
|
? (ColFactor==1 ? index : index%m_cols.value())
|
|
: (RowFactor==1 ? index : index%m_rows.value());
|
|
|
|
return m_argImpl.template packet<LoadMode,PacketType>(actual_index);
|
|
}
|
|
|
|
protected:
|
|
const ArgTypeNested m_arg;
|
|
evaluator<ArgTypeNestedCleaned> m_argImpl;
|
|
const variable_if_dynamic<Index, ArgType::RowsAtCompileTime> m_rows;
|
|
const variable_if_dynamic<Index, ArgType::ColsAtCompileTime> m_cols;
|
|
};
|
|
|
|
|
|
// -------------------- PartialReduxExpr --------------------
|
|
|
|
template< typename ArgType, typename MemberOp, int Direction>
|
|
struct evaluator<PartialReduxExpr<ArgType, MemberOp, Direction> >
|
|
: evaluator_base<PartialReduxExpr<ArgType, MemberOp, Direction> >
|
|
{
|
|
typedef PartialReduxExpr<ArgType, MemberOp, Direction> XprType;
|
|
typedef typename internal::nested_eval<ArgType,1>::type ArgTypeNested;
|
|
typedef typename internal::remove_all<ArgTypeNested>::type ArgTypeNestedCleaned;
|
|
typedef typename ArgType::Scalar InputScalar;
|
|
typedef typename XprType::Scalar Scalar;
|
|
enum {
|
|
TraversalSize = Direction==int(Vertical) ? int(ArgType::RowsAtCompileTime) : int(ArgType::ColsAtCompileTime)
|
|
};
|
|
typedef typename MemberOp::template Cost<InputScalar,int(TraversalSize)> CostOpType;
|
|
enum {
|
|
CoeffReadCost = TraversalSize==Dynamic ? HugeCost
|
|
: TraversalSize * evaluator<ArgType>::CoeffReadCost + int(CostOpType::value),
|
|
|
|
Flags = (traits<XprType>::Flags&RowMajorBit) | (evaluator<ArgType>::Flags&(HereditaryBits&(~RowMajorBit))) | LinearAccessBit,
|
|
|
|
Alignment = 0 // FIXME this will need to be improved once PartialReduxExpr is vectorized
|
|
};
|
|
|
|
EIGEN_DEVICE_FUNC explicit evaluator(const XprType xpr)
|
|
: m_arg(xpr.nestedExpression()), m_functor(xpr.functor())
|
|
{
|
|
EIGEN_INTERNAL_CHECK_COST_VALUE(TraversalSize==Dynamic ? HugeCost : int(CostOpType::value));
|
|
EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
|
|
}
|
|
|
|
typedef typename XprType::CoeffReturnType CoeffReturnType;
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
const Scalar coeff(Index i, Index j) const
|
|
{
|
|
if (Direction==Vertical)
|
|
return m_functor(m_arg.col(j));
|
|
else
|
|
return m_functor(m_arg.row(i));
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
const Scalar coeff(Index index) const
|
|
{
|
|
if (Direction==Vertical)
|
|
return m_functor(m_arg.col(index));
|
|
else
|
|
return m_functor(m_arg.row(index));
|
|
}
|
|
|
|
protected:
|
|
typename internal::add_const_on_value_type<ArgTypeNested>::type m_arg;
|
|
const MemberOp m_functor;
|
|
};
|
|
|
|
|
|
// -------------------- MatrixWrapper and ArrayWrapper --------------------
|
|
//
|
|
// evaluator_wrapper_base<T> is a common base class for the
|
|
// MatrixWrapper and ArrayWrapper evaluators.
|
|
|
|
template<typename XprType>
|
|
struct evaluator_wrapper_base
|
|
: evaluator_base<XprType>
|
|
{
|
|
typedef typename remove_all<typename XprType::NestedExpressionType>::type ArgType;
|
|
enum {
|
|
CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
|
|
Flags = evaluator<ArgType>::Flags,
|
|
Alignment = evaluator<ArgType>::Alignment
|
|
};
|
|
|
|
EIGEN_DEVICE_FUNC explicit evaluator_wrapper_base(const ArgType& arg) : m_argImpl(arg) {}
|
|
|
|
typedef typename ArgType::Scalar Scalar;
|
|
typedef typename ArgType::CoeffReturnType CoeffReturnType;
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index row, Index col) const
|
|
{
|
|
return m_argImpl.coeff(row, col);
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index index) const
|
|
{
|
|
return m_argImpl.coeff(index);
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
Scalar& coeffRef(Index row, Index col)
|
|
{
|
|
return m_argImpl.coeffRef(row, col);
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
Scalar& coeffRef(Index index)
|
|
{
|
|
return m_argImpl.coeffRef(index);
|
|
}
|
|
|
|
template<int LoadMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
PacketType packet(Index row, Index col) const
|
|
{
|
|
return m_argImpl.template packet<LoadMode,PacketType>(row, col);
|
|
}
|
|
|
|
template<int LoadMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
PacketType packet(Index index) const
|
|
{
|
|
return m_argImpl.template packet<LoadMode,PacketType>(index);
|
|
}
|
|
|
|
template<int StoreMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
void writePacket(Index row, Index col, const PacketType& x)
|
|
{
|
|
m_argImpl.template writePacket<StoreMode>(row, col, x);
|
|
}
|
|
|
|
template<int StoreMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
void writePacket(Index index, const PacketType& x)
|
|
{
|
|
m_argImpl.template writePacket<StoreMode>(index, x);
|
|
}
|
|
|
|
protected:
|
|
evaluator<ArgType> m_argImpl;
|
|
};
|
|
|
|
template<typename TArgType>
|
|
struct unary_evaluator<MatrixWrapper<TArgType> >
|
|
: evaluator_wrapper_base<MatrixWrapper<TArgType> >
|
|
{
|
|
typedef MatrixWrapper<TArgType> XprType;
|
|
|
|
EIGEN_DEVICE_FUNC explicit unary_evaluator(const XprType& wrapper)
|
|
: evaluator_wrapper_base<MatrixWrapper<TArgType> >(wrapper.nestedExpression())
|
|
{ }
|
|
};
|
|
|
|
template<typename TArgType>
|
|
struct unary_evaluator<ArrayWrapper<TArgType> >
|
|
: evaluator_wrapper_base<ArrayWrapper<TArgType> >
|
|
{
|
|
typedef ArrayWrapper<TArgType> XprType;
|
|
|
|
EIGEN_DEVICE_FUNC explicit unary_evaluator(const XprType& wrapper)
|
|
: evaluator_wrapper_base<ArrayWrapper<TArgType> >(wrapper.nestedExpression())
|
|
{ }
|
|
};
|
|
|
|
|
|
// -------------------- Reverse --------------------
|
|
|
|
// defined in Reverse.h:
|
|
template<typename PacketType, bool ReversePacket> struct reverse_packet_cond;
|
|
|
|
template<typename ArgType, int Direction>
|
|
struct unary_evaluator<Reverse<ArgType, Direction> >
|
|
: evaluator_base<Reverse<ArgType, Direction> >
|
|
{
|
|
typedef Reverse<ArgType, Direction> XprType;
|
|
typedef typename XprType::Scalar Scalar;
|
|
typedef typename XprType::CoeffReturnType CoeffReturnType;
|
|
|
|
enum {
|
|
IsRowMajor = XprType::IsRowMajor,
|
|
IsColMajor = !IsRowMajor,
|
|
ReverseRow = (Direction == Vertical) || (Direction == BothDirections),
|
|
ReverseCol = (Direction == Horizontal) || (Direction == BothDirections),
|
|
ReversePacket = (Direction == BothDirections)
|
|
|| ((Direction == Vertical) && IsColMajor)
|
|
|| ((Direction == Horizontal) && IsRowMajor),
|
|
|
|
CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
|
|
|
|
// let's enable LinearAccess only with vectorization because of the product overhead
|
|
// FIXME enable DirectAccess with negative strides?
|
|
Flags0 = evaluator<ArgType>::Flags,
|
|
LinearAccess = ( (Direction==BothDirections) && (int(Flags0)&PacketAccessBit) )
|
|
|| ((ReverseRow && XprType::ColsAtCompileTime==1) || (ReverseCol && XprType::RowsAtCompileTime==1))
|
|
? LinearAccessBit : 0,
|
|
|
|
Flags = int(Flags0) & (HereditaryBits | PacketAccessBit | LinearAccess),
|
|
|
|
Alignment = 0 // FIXME in some rare cases, Alignment could be preserved, like a Vector4f.
|
|
};
|
|
|
|
EIGEN_DEVICE_FUNC explicit unary_evaluator(const XprType& reverse)
|
|
: m_argImpl(reverse.nestedExpression()),
|
|
m_rows(ReverseRow ? reverse.nestedExpression().rows() : 1),
|
|
m_cols(ReverseCol ? reverse.nestedExpression().cols() : 1)
|
|
{ }
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index row, Index col) const
|
|
{
|
|
return m_argImpl.coeff(ReverseRow ? m_rows.value() - row - 1 : row,
|
|
ReverseCol ? m_cols.value() - col - 1 : col);
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index index) const
|
|
{
|
|
return m_argImpl.coeff(m_rows.value() * m_cols.value() - index - 1);
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
Scalar& coeffRef(Index row, Index col)
|
|
{
|
|
return m_argImpl.coeffRef(ReverseRow ? m_rows.value() - row - 1 : row,
|
|
ReverseCol ? m_cols.value() - col - 1 : col);
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
Scalar& coeffRef(Index index)
|
|
{
|
|
return m_argImpl.coeffRef(m_rows.value() * m_cols.value() - index - 1);
|
|
}
|
|
|
|
template<int LoadMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
PacketType packet(Index row, Index col) const
|
|
{
|
|
enum {
|
|
PacketSize = unpacket_traits<PacketType>::size,
|
|
OffsetRow = ReverseRow && IsColMajor ? PacketSize : 1,
|
|
OffsetCol = ReverseCol && IsRowMajor ? PacketSize : 1
|
|
};
|
|
typedef internal::reverse_packet_cond<PacketType,ReversePacket> reverse_packet;
|
|
return reverse_packet::run(m_argImpl.template packet<LoadMode,PacketType>(
|
|
ReverseRow ? m_rows.value() - row - OffsetRow : row,
|
|
ReverseCol ? m_cols.value() - col - OffsetCol : col));
|
|
}
|
|
|
|
template<int LoadMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
PacketType packet(Index index) const
|
|
{
|
|
enum { PacketSize = unpacket_traits<PacketType>::size };
|
|
return preverse(m_argImpl.template packet<LoadMode,PacketType>(m_rows.value() * m_cols.value() - index - PacketSize));
|
|
}
|
|
|
|
template<int LoadMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
void writePacket(Index row, Index col, const PacketType& x)
|
|
{
|
|
// FIXME we could factorize some code with packet(i,j)
|
|
enum {
|
|
PacketSize = unpacket_traits<PacketType>::size,
|
|
OffsetRow = ReverseRow && IsColMajor ? PacketSize : 1,
|
|
OffsetCol = ReverseCol && IsRowMajor ? PacketSize : 1
|
|
};
|
|
typedef internal::reverse_packet_cond<PacketType,ReversePacket> reverse_packet;
|
|
m_argImpl.template writePacket<LoadMode>(
|
|
ReverseRow ? m_rows.value() - row - OffsetRow : row,
|
|
ReverseCol ? m_cols.value() - col - OffsetCol : col,
|
|
reverse_packet::run(x));
|
|
}
|
|
|
|
template<int LoadMode, typename PacketType>
|
|
EIGEN_STRONG_INLINE
|
|
void writePacket(Index index, const PacketType& x)
|
|
{
|
|
enum { PacketSize = unpacket_traits<PacketType>::size };
|
|
m_argImpl.template writePacket<LoadMode>
|
|
(m_rows.value() * m_cols.value() - index - PacketSize, preverse(x));
|
|
}
|
|
|
|
protected:
|
|
evaluator<ArgType> m_argImpl;
|
|
|
|
// If we do not reverse rows, then we do not need to know the number of rows; same for columns
|
|
// Nonetheless, in this case it is important to set to 1 such that the coeff(index) method works fine for vectors.
|
|
const variable_if_dynamic<Index, ReverseRow ? ArgType::RowsAtCompileTime : 1> m_rows;
|
|
const variable_if_dynamic<Index, ReverseCol ? ArgType::ColsAtCompileTime : 1> m_cols;
|
|
};
|
|
|
|
|
|
// -------------------- Diagonal --------------------
|
|
|
|
template<typename ArgType, int DiagIndex>
|
|
struct evaluator<Diagonal<ArgType, DiagIndex> >
|
|
: evaluator_base<Diagonal<ArgType, DiagIndex> >
|
|
{
|
|
typedef Diagonal<ArgType, DiagIndex> XprType;
|
|
|
|
enum {
|
|
CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
|
|
|
|
Flags = (unsigned int)(evaluator<ArgType>::Flags & (HereditaryBits | DirectAccessBit) & ~RowMajorBit) | LinearAccessBit,
|
|
|
|
Alignment = 0
|
|
};
|
|
|
|
EIGEN_DEVICE_FUNC explicit evaluator(const XprType& diagonal)
|
|
: m_argImpl(diagonal.nestedExpression()),
|
|
m_index(diagonal.index())
|
|
{ }
|
|
|
|
typedef typename XprType::Scalar Scalar;
|
|
typedef typename XprType::CoeffReturnType CoeffReturnType;
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index row, Index) const
|
|
{
|
|
return m_argImpl.coeff(row + rowOffset(), row + colOffset());
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
CoeffReturnType coeff(Index index) const
|
|
{
|
|
return m_argImpl.coeff(index + rowOffset(), index + colOffset());
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
Scalar& coeffRef(Index row, Index)
|
|
{
|
|
return m_argImpl.coeffRef(row + rowOffset(), row + colOffset());
|
|
}
|
|
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
|
Scalar& coeffRef(Index index)
|
|
{
|
|
return m_argImpl.coeffRef(index + rowOffset(), index + colOffset());
|
|
}
|
|
|
|
protected:
|
|
evaluator<ArgType> m_argImpl;
|
|
const internal::variable_if_dynamicindex<Index, XprType::DiagIndex> m_index;
|
|
|
|
private:
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index rowOffset() const { return m_index.value() > 0 ? 0 : -m_index.value(); }
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index colOffset() const { return m_index.value() > 0 ? m_index.value() : 0; }
|
|
};
|
|
|
|
|
|
//----------------------------------------------------------------------
|
|
// deprecated code
|
|
//----------------------------------------------------------------------
|
|
|
|
// -------------------- EvalToTemp --------------------
|
|
|
|
// expression class for evaluating nested expression to a temporary
|
|
|
|
template<typename ArgType> class EvalToTemp;
|
|
|
|
template<typename ArgType>
|
|
struct traits<EvalToTemp<ArgType> >
|
|
: public traits<ArgType>
|
|
{ };
|
|
|
|
template<typename ArgType>
|
|
class EvalToTemp
|
|
: public dense_xpr_base<EvalToTemp<ArgType> >::type
|
|
{
|
|
public:
|
|
|
|
typedef typename dense_xpr_base<EvalToTemp>::type Base;
|
|
EIGEN_GENERIC_PUBLIC_INTERFACE(EvalToTemp)
|
|
|
|
explicit EvalToTemp(const ArgType& arg)
|
|
: m_arg(arg)
|
|
{ }
|
|
|
|
const ArgType& arg() const
|
|
{
|
|
return m_arg;
|
|
}
|
|
|
|
Index rows() const
|
|
{
|
|
return m_arg.rows();
|
|
}
|
|
|
|
Index cols() const
|
|
{
|
|
return m_arg.cols();
|
|
}
|
|
|
|
private:
|
|
const ArgType& m_arg;
|
|
};
|
|
|
|
template<typename ArgType>
|
|
struct evaluator<EvalToTemp<ArgType> >
|
|
: public evaluator<typename ArgType::PlainObject>
|
|
{
|
|
typedef EvalToTemp<ArgType> XprType;
|
|
typedef typename ArgType::PlainObject PlainObject;
|
|
typedef evaluator<PlainObject> Base;
|
|
|
|
EIGEN_DEVICE_FUNC explicit evaluator(const XprType& xpr)
|
|
: m_result(xpr.arg())
|
|
{
|
|
::new (static_cast<Base*>(this)) Base(m_result);
|
|
}
|
|
|
|
// This constructor is used when nesting an EvalTo evaluator in another evaluator
|
|
EIGEN_DEVICE_FUNC evaluator(const ArgType& arg)
|
|
: m_result(arg)
|
|
{
|
|
::new (static_cast<Base*>(this)) Base(m_result);
|
|
}
|
|
|
|
protected:
|
|
PlainObject m_result;
|
|
};
|
|
|
|
} // namespace internal
|
|
|
|
} // end namespace Eigen
|
|
|
|
#endif // EIGEN_COREEVALUATORS_H
|