// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2012 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/.
template<typename Derived> struct match { enum {
IsVectorAtCompileTime = PlainObjectType::IsVectorAtCompileTime || Derived::IsVectorAtCompileTime,
HasDirectAccess = internal::has_direct_access<Derived>::ret,
StorageOrderMatch = IsVectorAtCompileTime || ((PlainObjectType::Flags&RowMajorBit)==(Derived::Flags&RowMajorBit)),
InnerStrideMatch = int(StrideType::InnerStrideAtCompileTime)==int(Dynamic)
|| int(StrideType::InnerStrideAtCompileTime)==int(Derived::InnerStrideAtCompileTime)
|| (int(StrideType::InnerStrideAtCompileTime)==0 && int(Derived::InnerStrideAtCompileTime)==1),
OuterStrideMatch = IsVectorAtCompileTime
|| int(StrideType::OuterStrideAtCompileTime)==int(Dynamic) || int(StrideType::OuterStrideAtCompileTime)==int(Derived::OuterStrideAtCompileTime), // NOTE, this indirection of evaluator<Derived>::Alignment is needed // to workaround a very strange bug in MSVC related to the instantiation // of has_*ary_operator in evaluator<CwiseNullaryOp>. // This line is surprisingly very sensitive. For instance, simply adding parenthesis // as "DerivedAlignment = (int(evaluator<Derived>::Alignment))," will make MSVC fail...
DerivedAlignment = int(evaluator<Derived>::Alignment),
AlignmentMatch = (int(traits<PlainObjectType>::Alignment)==int(Unaligned)) || (DerivedAlignment >= int(Alignment)), // FIXME the first condition is not very clear, it should be replaced by the required alignment
ScalarTypeMatch = internal::is_same<typename PlainObjectType::Scalar, typename Derived::Scalar>::value,
MatchAtCompileTime = HasDirectAccess && StorageOrderMatch && InnerStrideMatch && OuterStrideMatch && AlignmentMatch && ScalarTypeMatch
}; typedeftypename internal::conditional<MatchAtCompileTime,internal::true_type,internal::false_type>::type type;
};
};
template<typename Derived> struct traits<RefBase<Derived> > : public traits<Derived> {};
}
template<typename Derived> class RefBase
: public MapBase<Derived>
{ typedeftypename internal::traits<Derived>::PlainObjectType PlainObjectType; typedeftypename internal::traits<Derived>::StrideType StrideType;
EIGEN_DEVICE_FUNC RefBase()
: Base(0,RowsAtCompileTime==Dynamic?0:RowsAtCompileTime,ColsAtCompileTime==Dynamic?0:ColsAtCompileTime), // Stride<> does not allow default ctor for Dynamic strides, so let' initialize it with dummy values:
m_stride(StrideType::OuterStrideAtCompileTime==Dynamic?0:StrideType::OuterStrideAtCompileTime,
StrideType::InnerStrideAtCompileTime==Dynamic?0:StrideType::InnerStrideAtCompileTime)
{}
// Resolves outer stride if default 0. static EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR Index resolveOuterStride(Index inner, Index outer, Index rows, Index cols, bool isVectorAtCompileTime, bool isRowMajor) { return outer == 0 ? isVectorAtCompileTime ? inner * rows * cols : isRowMajor ? inner * cols : inner * rows : outer;
}
// Returns true if construction is valid, false if there is a stride mismatch, // and fails if there is a size mismatch. template<typename Expression>
EIGEN_DEVICE_FUNC bool construct(Expression& expr)
{ // Check matrix sizes. If this is a compile-time vector, we do allow // implicitly transposing.
EIGEN_STATIC_ASSERT(
EIGEN_PREDICATE_SAME_MATRIX_SIZE(PlainObjectType, Expression) // If it is a vector, the transpose sizes might match.
|| ( PlainObjectType::IsVectorAtCompileTime
&& ((int(PlainObjectType::RowsAtCompileTime)==Eigen::Dynamic
|| int(Expression::ColsAtCompileTime)==Eigen::Dynamic
|| int(PlainObjectType::RowsAtCompileTime)==int(Expression::ColsAtCompileTime))
&& (int(PlainObjectType::ColsAtCompileTime)==Eigen::Dynamic
|| int(Expression::RowsAtCompileTime)==Eigen::Dynamic
|| int(PlainObjectType::ColsAtCompileTime)==int(Expression::RowsAtCompileTime)))),
YOU_MIXED_MATRICES_OF_DIFFERENT_SIZES
)
// If this is a vector, we might be transposing, which means that stride should swap. constbool transpose = PlainObjectType::IsVectorAtCompileTime && (rows != expr.rows()); // If the storage format differs, we also need to swap the stride. constbool row_major = ((PlainObjectType::Flags)&RowMajorBit) != 0; constbool expr_row_major = (Expression::Flags&RowMajorBit) != 0; constbool storage_differs = (row_major != expr_row_major);
// Determine expr's actual strides, resolving any defaults if zero. const Index expr_inner_actual = resolveInnerStride(expr.innerStride()); const Index expr_outer_actual = resolveOuterStride(expr_inner_actual,
expr.outerStride(),
expr.rows(),
expr.cols(),
Expression::IsVectorAtCompileTime != 0,
expr_row_major);
// If this is a column-major row vector or row-major column vector, the inner-stride // is arbitrary, so set it to either the compile-time inner stride or 1. constbool row_vector = (rows == 1); constbool col_vector = (cols == 1); const Index inner_stride =
( (!row_major && row_vector) || (row_major && col_vector) ) ?
( StrideType::InnerStrideAtCompileTime > 0 ? Index(StrideType::InnerStrideAtCompileTime) : 1)
: swap_stride ? expr_outer_actual : expr_inner_actual;
// If this is a column-major column vector or row-major row vector, the outer-stride // is arbitrary, so set it to either the compile-time outer stride or vector size. const Index outer_stride =
( (!row_major && col_vector) || (row_major && row_vector) ) ?
( StrideType::OuterStrideAtCompileTime > 0 ? Index(StrideType::OuterStrideAtCompileTime) : rows * cols * inner_stride)
: swap_stride ? expr_inner_actual : expr_outer_actual;
// Check if given inner/outer strides are compatible with compile-time strides. constbool inner_valid = (StrideType::InnerStrideAtCompileTime == Dynamic)
|| (resolveInnerStride(Index(StrideType::InnerStrideAtCompileTime)) == inner_stride); if (!inner_valid) { returnfalse;
}
/** \class Ref * \ingroup Core_Module * * \brief A matrix or vector expression mapping an existing expression * * \tparam PlainObjectType the equivalent matrix type of the mapped data * \tparam Options specifies the pointer alignment in bytes. It can be: \c #Aligned128, , \c #Aligned64, \c #Aligned32, \c #Aligned16, \c #Aligned8 or \c #Unaligned. * The default is \c #Unaligned. * \tparam StrideType optionally specifies strides. By default, Ref implies a contiguous storage along the inner dimension (inner stride==1), * but accepts a variable outer stride (leading dimension). * This can be overridden by specifying strides. * The type passed here must be a specialization of the Stride template, see examples below. * * This class provides a way to write non-template functions taking Eigen objects as parameters while limiting the number of copies. * A Ref<> object can represent either a const expression or a l-value: * \code * // in-out argument: * void foo1(Ref<VectorXf> x); * * // read-only const argument: * void foo2(const Ref<const VectorXf>& x); * \endcode * * In the in-out case, the input argument must satisfy the constraints of the actual Ref<> type, otherwise a compilation issue will be triggered. * By default, a Ref<VectorXf> can reference any dense vector expression of float having a contiguous memory layout. * Likewise, a Ref<MatrixXf> can reference any column-major dense matrix expression of float whose column's elements are contiguously stored with * the possibility to have a constant space in-between each column, i.e. the inner stride must be equal to 1, but the outer stride (or leading dimension) * can be greater than the number of rows. * * In the const case, if the input expression does not match the above requirement, then it is evaluated into a temporary before being passed to the function. * Here are some examples: * \code * MatrixXf A; * VectorXf a; * foo1(a.head()); // OK * foo1(A.col()); // OK * foo1(A.row()); // Compilation error because here innerstride!=1 * foo2(A.row()); // Compilation error because A.row() is a 1xN object while foo2 is expecting a Nx1 object * foo2(A.row().transpose()); // The row is copied into a contiguous temporary * foo2(2*a); // The expression is evaluated into a temporary * foo2(A.col().segment(2,4)); // No temporary * \endcode * * The range of inputs that can be referenced without temporary can be enlarged using the last two template parameters. * Here is an example accepting an innerstride!=1: * \code * // in-out argument: * void foo3(Ref<VectorXf,0,InnerStride<> > x); * foo3(A.row()); // OK * \endcode * The downside here is that the function foo3 might be significantly slower than foo1 because it won't be able to exploit vectorization, and will involve more * expensive address computations even if the input is contiguously stored in memory. To overcome this issue, one might propose to overload internally calling a * template function, e.g.: * \code * // in the .h: * void foo(const Ref<MatrixXf>& A); * void foo(const Ref<MatrixXf,0,Stride<> >& A); * * // in the .cpp: * template<typename TypeOfA> void foo_impl(const TypeOfA& A) { * ... // crazy code goes here * } * void foo(const Ref<MatrixXf>& A) { foo_impl(A); } * void foo(const Ref<MatrixXf,0,Stride<> >& A) { foo_impl(A); } * \endcode * * See also the following stackoverflow questions for further references: * - <a href="http://stackoverflow.com/questions/21132538/correct-usage-of-the-eigenref-class">Correct usage of the Eigen::Ref<> class</a> * * \sa PlainObjectBase::Map(), \ref TopicStorageOrders
*/ template<typename PlainObjectType, int Options, typename StrideType> class Ref
: public RefBase<Ref<PlainObjectType, Options, StrideType> >
{ private: typedef internal::traits<Ref> Traits; template<typename Derived>
EIGEN_DEVICE_FUNC inline Ref(const PlainObjectBase<Derived>& expr, typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0); public:
#ifndef EIGEN_PARSED_BY_DOXYGEN template<typename Derived>
EIGEN_DEVICE_FUNC inline Ref(PlainObjectBase<Derived>& expr, typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0)
{
EIGEN_STATIC_ASSERT(bool(Traits::template match<Derived>::MatchAtCompileTime), STORAGE_LAYOUT_DOES_NOT_MATCH); // Construction must pass since we will not create temprary storage in the non-const case. constbool success = Base::construct(expr.derived());
EIGEN_UNUSED_VARIABLE(success)
eigen_assert(success);
} template<typename Derived>
EIGEN_DEVICE_FUNC inline Ref(const DenseBase<Derived>& expr, typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0) #else /** Implicit constructor from any dense expression */ template<typename Derived> inline Ref(DenseBase<Derived>& expr) #endif
{
EIGEN_STATIC_ASSERT(bool(internal::is_lvalue<Derived>::value), THIS_EXPRESSION_IS_NOT_A_LVALUE__IT_IS_READ_ONLY);
EIGEN_STATIC_ASSERT(bool(Traits::template match<Derived>::MatchAtCompileTime), STORAGE_LAYOUT_DOES_NOT_MATCH);
EIGEN_STATIC_ASSERT(!Derived::IsPlainObjectBase,THIS_EXPRESSION_IS_NOT_A_LVALUE__IT_IS_READ_ONLY); // Construction must pass since we will not create temporary storage in the non-const case. constbool success = Base::construct(expr.const_cast_derived());
EIGEN_UNUSED_VARIABLE(success)
eigen_assert(success);
}
EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Ref)
};
// this is the const ref version template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
: public RefBase<Ref<const TPlainObjectType, Options, StrideType> >
{ typedef internal::traits<Ref> Traits; public:
template<typename Expression>
EIGEN_DEVICE_FUNC void construct(const Expression& expr,internal::true_type)
{ // Check if we can use the underlying expr's storage directly, otherwise call the copy version. if (!Base::construct(expr)) {
construct(expr, internal::false_type());
}
}
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