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Diffstat (limited to 'third_party/eigen3/Eigen/src/Core/DenseBase.h')
| -rw-r--r-- | third_party/eigen3/Eigen/src/Core/DenseBase.h | 561 |
1 files changed, 0 insertions, 561 deletions
diff --git a/third_party/eigen3/Eigen/src/Core/DenseBase.h b/third_party/eigen3/Eigen/src/Core/DenseBase.h deleted file mode 100644 index 55cec0bc26..0000000000 --- a/third_party/eigen3/Eigen/src/Core/DenseBase.h +++ /dev/null @@ -1,561 +0,0 @@ -// This file is part of Eigen, a lightweight C++ template library -// for linear algebra. -// -// Copyright (C) 2007-2010 Benoit Jacob <jacob.benoit.1@gmail.com> -// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr> -// -// This Source Code Form is subject to the terms of the Mozilla -// Public License v. 2.0. If a copy of the MPL was not distributed -// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. - -#ifndef EIGEN_DENSEBASE_H -#define EIGEN_DENSEBASE_H - -namespace Eigen { - -namespace internal { - -// The index type defined by EIGEN_DEFAULT_DENSE_INDEX_TYPE must be a signed type. -// This dummy function simply aims at checking that at compile time. -static inline void check_DenseIndex_is_signed() { - EIGEN_STATIC_ASSERT(NumTraits<DenseIndex>::IsSigned,THE_INDEX_TYPE_MUST_BE_A_SIGNED_TYPE); -} - -} // end namespace internal - -/** \class DenseBase - * \ingroup Core_Module - * - * \brief Base class for all dense matrices, vectors, and arrays - * - * This class is the base that is inherited by all dense objects (matrix, vector, arrays, - * and related expression types). The common Eigen API for dense objects is contained in this class. - * - * \tparam Derived is the derived type, e.g., a matrix type or an expression. - * - * This class can be extended with the help of the plugin mechanism described on the page - * \ref TopicCustomizingEigen by defining the preprocessor symbol \c EIGEN_DENSEBASE_PLUGIN. - * - * \sa \ref TopicClassHierarchy - */ -template<typename Derived> class DenseBase -#ifndef EIGEN_PARSED_BY_DOXYGEN - : public internal::special_scalar_op_base<Derived,typename internal::traits<Derived>::Scalar, - typename NumTraits<typename internal::traits<Derived>::Scalar>::Real> -#else - : public DenseCoeffsBase<Derived> -#endif // not EIGEN_PARSED_BY_DOXYGEN -{ - public: - using internal::special_scalar_op_base<Derived,typename internal::traits<Derived>::Scalar, - typename NumTraits<typename internal::traits<Derived>::Scalar>::Real>::operator*; - - class InnerIterator; - - typedef typename internal::traits<Derived>::StorageKind StorageKind; - - /** \brief The type of indices - * \details To change this, \c \#define the preprocessor symbol \c EIGEN_DEFAULT_DENSE_INDEX_TYPE. - * \sa \ref TopicPreprocessorDirectives. - */ - typedef typename internal::traits<Derived>::Index Index; - - typedef typename internal::traits<Derived>::Scalar Scalar; - typedef typename internal::packet_traits<Scalar>::type PacketScalar; - typedef typename NumTraits<Scalar>::Real RealScalar; - - typedef DenseCoeffsBase<Derived> Base; - using Base::derived; - using Base::const_cast_derived; - using Base::rows; - using Base::cols; - using Base::size; - using Base::rowIndexByOuterInner; - using Base::colIndexByOuterInner; - using Base::coeff; - using Base::coeffByOuterInner; - using Base::packet; - using Base::packetByOuterInner; - using Base::writePacket; - using Base::writePacketByOuterInner; - using Base::coeffRef; - using Base::coeffRefByOuterInner; - using Base::copyCoeff; - using Base::copyCoeffByOuterInner; - using Base::copyPacket; - using Base::copyPacketByOuterInner; - using Base::operator(); - using Base::operator[]; - using Base::x; - using Base::y; - using Base::z; - using Base::w; - using Base::stride; - using Base::innerStride; - using Base::outerStride; - using Base::rowStride; - using Base::colStride; - typedef typename Base::CoeffReturnType CoeffReturnType; - - enum { - - RowsAtCompileTime = internal::traits<Derived>::RowsAtCompileTime, - /**< The number of rows at compile-time. This is just a copy of the value provided - * by the \a Derived type. If a value is not known at compile-time, - * it is set to the \a Dynamic constant. - * \sa MatrixBase::rows(), MatrixBase::cols(), ColsAtCompileTime, SizeAtCompileTime */ - - ColsAtCompileTime = internal::traits<Derived>::ColsAtCompileTime, - /**< The number of columns at compile-time. This is just a copy of the value provided - * by the \a Derived type. If a value is not known at compile-time, - * it is set to the \a Dynamic constant. - * \sa MatrixBase::rows(), MatrixBase::cols(), RowsAtCompileTime, SizeAtCompileTime */ - - - SizeAtCompileTime = (internal::size_at_compile_time<internal::traits<Derived>::RowsAtCompileTime, - internal::traits<Derived>::ColsAtCompileTime>::ret), - /**< This is equal to the number of coefficients, i.e. the number of - * rows times the number of columns, or to \a Dynamic if this is not - * known at compile-time. \sa RowsAtCompileTime, ColsAtCompileTime */ - - MaxRowsAtCompileTime = internal::traits<Derived>::MaxRowsAtCompileTime, - /**< This value is equal to the maximum possible number of rows that this expression - * might have. If this expression might have an arbitrarily high number of rows, - * this value is set to \a Dynamic. - * - * This value is useful to know when evaluating an expression, in order to determine - * whether it is possible to avoid doing a dynamic memory allocation. - * - * \sa RowsAtCompileTime, MaxColsAtCompileTime, MaxSizeAtCompileTime - */ - - MaxColsAtCompileTime = internal::traits<Derived>::MaxColsAtCompileTime, - /**< This value is equal to the maximum possible number of columns that this expression - * might have. If this expression might have an arbitrarily high number of columns, - * this value is set to \a Dynamic. - * - * This value is useful to know when evaluating an expression, in order to determine - * whether it is possible to avoid doing a dynamic memory allocation. - * - * \sa ColsAtCompileTime, MaxRowsAtCompileTime, MaxSizeAtCompileTime - */ - - MaxSizeAtCompileTime = (internal::size_at_compile_time<internal::traits<Derived>::MaxRowsAtCompileTime, - internal::traits<Derived>::MaxColsAtCompileTime>::ret), - /**< This value is equal to the maximum possible number of coefficients that this expression - * might have. If this expression might have an arbitrarily high number of coefficients, - * this value is set to \a Dynamic. - * - * This value is useful to know when evaluating an expression, in order to determine - * whether it is possible to avoid doing a dynamic memory allocation. - * - * \sa SizeAtCompileTime, MaxRowsAtCompileTime, MaxColsAtCompileTime - */ - - IsVectorAtCompileTime = internal::traits<Derived>::MaxRowsAtCompileTime == 1 - || internal::traits<Derived>::MaxColsAtCompileTime == 1, - /**< This is set to true if either the number of rows or the number of - * columns is known at compile-time to be equal to 1. Indeed, in that case, - * we are dealing with a column-vector (if there is only one column) or with - * a row-vector (if there is only one row). */ - - Flags = internal::traits<Derived>::Flags, - /**< This stores expression \ref flags flags which may or may not be inherited by new expressions - * constructed from this one. See the \ref flags "list of flags". - */ - - IsRowMajor = int(Flags) & RowMajorBit, /**< True if this expression has row-major storage order. */ - - InnerSizeAtCompileTime = int(IsVectorAtCompileTime) ? int(SizeAtCompileTime) - : int(IsRowMajor) ? int(ColsAtCompileTime) : int(RowsAtCompileTime), - - CoeffReadCost = internal::traits<Derived>::CoeffReadCost, - /**< This is a rough measure of how expensive it is to read one coefficient from - * this expression. - */ - - InnerStrideAtCompileTime = internal::inner_stride_at_compile_time<Derived>::ret, - OuterStrideAtCompileTime = internal::outer_stride_at_compile_time<Derived>::ret - }; - - enum { ThisConstantIsPrivateInPlainObjectBase }; - - /** \returns the number of nonzero coefficients which is in practice the number - * of stored coefficients. */ - EIGEN_DEVICE_FUNC - inline Index nonZeros() const { return size(); } - /** \returns true if either the number of rows or the number of columns is equal to 1. - * In other words, this function returns - * \code rows()==1 || cols()==1 \endcode - * \sa rows(), cols(), IsVectorAtCompileTime. */ - - /** \returns the outer size. - * - * \note For a vector, this returns just 1. For a matrix (non-vector), this is the major dimension - * with respect to the \ref TopicStorageOrders "storage order", i.e., the number of columns for a - * column-major matrix, and the number of rows for a row-major matrix. */ - EIGEN_DEVICE_FUNC - Index outerSize() const - { - return IsVectorAtCompileTime ? 1 - : int(IsRowMajor) ? this->rows() : this->cols(); - } - - /** \returns the inner size. - * - * \note For a vector, this is just the size. For a matrix (non-vector), this is the minor dimension - * with respect to the \ref TopicStorageOrders "storage order", i.e., the number of rows for a - * column-major matrix, and the number of columns for a row-major matrix. */ - EIGEN_DEVICE_FUNC - Index innerSize() const - { - return IsVectorAtCompileTime ? this->size() - : int(IsRowMajor) ? this->cols() : this->rows(); - } - - /** Only plain matrices/arrays, not expressions, may be resized; therefore the only useful resize methods are - * Matrix::resize() and Array::resize(). The present method only asserts that the new size equals the old size, and does - * nothing else. - */ - EIGEN_DEVICE_FUNC - void resize(Index newSize) - { - EIGEN_ONLY_USED_FOR_DEBUG(newSize); - eigen_assert(newSize == this->size() - && "DenseBase::resize() does not actually allow to resize."); - } - /** Only plain matrices/arrays, not expressions, may be resized; therefore the only useful resize methods are - * Matrix::resize() and Array::resize(). The present method only asserts that the new size equals the old size, and does - * nothing else. - */ - EIGEN_DEVICE_FUNC - void resize(Index nbRows, Index nbCols) - { - EIGEN_ONLY_USED_FOR_DEBUG(nbRows); - EIGEN_ONLY_USED_FOR_DEBUG(nbCols); - eigen_assert(nbRows == this->rows() && nbCols == this->cols() - && "DenseBase::resize() does not actually allow to resize."); - } - -#ifndef EIGEN_PARSED_BY_DOXYGEN - - /** \internal Represents a matrix with all coefficients equal to one another*/ - typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,Derived> ConstantReturnType; - /** \internal Represents a vector with linearly spaced coefficients that allows sequential access only. */ - typedef CwiseNullaryOp<internal::linspaced_op<Scalar,false>,Derived> SequentialLinSpacedReturnType; - /** \internal Represents a vector with linearly spaced coefficients that allows random access. */ - typedef CwiseNullaryOp<internal::linspaced_op<Scalar,true>,Derived> RandomAccessLinSpacedReturnType; - /** \internal the return type of MatrixBase::eigenvalues() */ - typedef Matrix<typename NumTraits<typename internal::traits<Derived>::Scalar>::Real, internal::traits<Derived>::ColsAtCompileTime, 1> EigenvaluesReturnType; - -#endif // not EIGEN_PARSED_BY_DOXYGEN - - /** Copies \a other into *this. \returns a reference to *this. */ - template<typename OtherDerived> - EIGEN_DEVICE_FUNC - Derived& operator=(const DenseBase<OtherDerived>& other); - - /** Special case of the template operator=, in order to prevent the compiler - * from generating a default operator= (issue hit with g++ 4.1) - */ - EIGEN_DEVICE_FUNC - Derived& operator=(const DenseBase& other); - - template<typename OtherDerived> - EIGEN_DEVICE_FUNC - Derived& operator=(const EigenBase<OtherDerived> &other); - - template<typename OtherDerived> - EIGEN_DEVICE_FUNC - Derived& operator+=(const EigenBase<OtherDerived> &other); - - template<typename OtherDerived> - EIGEN_DEVICE_FUNC - Derived& operator-=(const EigenBase<OtherDerived> &other); - - template<typename OtherDerived> - EIGEN_DEVICE_FUNC - Derived& operator=(const ReturnByValue<OtherDerived>& func); - -#ifndef EIGEN_PARSED_BY_DOXYGEN - /** Copies \a other into *this without evaluating other. \returns a reference to *this. */ - template<typename OtherDerived> - EIGEN_DEVICE_FUNC - Derived& lazyAssign(const DenseBase<OtherDerived>& other); -#endif // not EIGEN_PARSED_BY_DOXYGEN - - EIGEN_DEVICE_FUNC - CommaInitializer<Derived> operator<< (const Scalar& s); - - template<unsigned int Added,unsigned int Removed> - const Flagged<Derived, Added, Removed> flagged() const; - - template<typename OtherDerived> - EIGEN_DEVICE_FUNC - CommaInitializer<Derived> operator<< (const DenseBase<OtherDerived>& other); - - EIGEN_DEVICE_FUNC - Eigen::Transpose<Derived> transpose(); - typedef typename internal::add_const<Transpose<const Derived> >::type ConstTransposeReturnType; - EIGEN_DEVICE_FUNC - ConstTransposeReturnType transpose() const; - EIGEN_DEVICE_FUNC - void transposeInPlace(); -#ifndef EIGEN_NO_DEBUG - protected: - template<typename OtherDerived> - void checkTransposeAliasing(const OtherDerived& other) const; - public: -#endif - - - EIGEN_DEVICE_FUNC static const ConstantReturnType - Constant(Index rows, Index cols, const Scalar& value); - EIGEN_DEVICE_FUNC static const ConstantReturnType - Constant(Index size, const Scalar& value); - EIGEN_DEVICE_FUNC static const ConstantReturnType - Constant(const Scalar& value); - - EIGEN_DEVICE_FUNC static const SequentialLinSpacedReturnType - LinSpaced(Sequential_t, Index size, const Scalar& low, const Scalar& high); - EIGEN_DEVICE_FUNC static const RandomAccessLinSpacedReturnType - LinSpaced(Index size, const Scalar& low, const Scalar& high); - EIGEN_DEVICE_FUNC static const SequentialLinSpacedReturnType - LinSpaced(Sequential_t, const Scalar& low, const Scalar& high); - EIGEN_DEVICE_FUNC static const RandomAccessLinSpacedReturnType - LinSpaced(const Scalar& low, const Scalar& high); - - template<typename CustomNullaryOp> EIGEN_DEVICE_FUNC - static const CwiseNullaryOp<CustomNullaryOp, Derived> - NullaryExpr(Index rows, Index cols, const CustomNullaryOp& func); - template<typename CustomNullaryOp> EIGEN_DEVICE_FUNC - static const CwiseNullaryOp<CustomNullaryOp, Derived> - NullaryExpr(Index size, const CustomNullaryOp& func); - template<typename CustomNullaryOp> EIGEN_DEVICE_FUNC - static const CwiseNullaryOp<CustomNullaryOp, Derived> - NullaryExpr(const CustomNullaryOp& func); - - EIGEN_DEVICE_FUNC static const ConstantReturnType Zero(Index rows, Index cols); - EIGEN_DEVICE_FUNC static const ConstantReturnType Zero(Index size); - EIGEN_DEVICE_FUNC static const ConstantReturnType Zero(); - EIGEN_DEVICE_FUNC static const ConstantReturnType Ones(Index rows, Index cols); - EIGEN_DEVICE_FUNC static const ConstantReturnType Ones(Index size); - EIGEN_DEVICE_FUNC static const ConstantReturnType Ones(); - - EIGEN_DEVICE_FUNC void fill(const Scalar& value); - EIGEN_DEVICE_FUNC Derived& setConstant(const Scalar& value); - EIGEN_DEVICE_FUNC Derived& setLinSpaced(Index size, const Scalar& low, const Scalar& high); - EIGEN_DEVICE_FUNC Derived& setLinSpaced(const Scalar& low, const Scalar& high); - EIGEN_DEVICE_FUNC Derived& setZero(); - EIGEN_DEVICE_FUNC Derived& setOnes(); - EIGEN_DEVICE_FUNC Derived& setRandom(); - - template<typename OtherDerived> EIGEN_DEVICE_FUNC - bool isApprox(const DenseBase<OtherDerived>& other, - const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; - EIGEN_DEVICE_FUNC - bool isMuchSmallerThan(const RealScalar& other, - const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; - template<typename OtherDerived> EIGEN_DEVICE_FUNC - bool isMuchSmallerThan(const DenseBase<OtherDerived>& other, - const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; - - EIGEN_DEVICE_FUNC bool isApproxToConstant(const Scalar& value, const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; - EIGEN_DEVICE_FUNC bool isConstant(const Scalar& value, const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; - EIGEN_DEVICE_FUNC bool isZero(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; - EIGEN_DEVICE_FUNC bool isOnes(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; - - inline bool hasNaN() const; - inline bool allFinite() const; - - EIGEN_DEVICE_FUNC - inline Derived& operator*=(const Scalar& other); - EIGEN_DEVICE_FUNC - inline Derived& operator/=(const Scalar& other); - - typedef typename internal::add_const_on_value_type<typename internal::eval<Derived>::type>::type EvalReturnType; - /** \returns the matrix or vector obtained by evaluating this expression. - * - * Notice that in the case of a plain matrix or vector (not an expression) this function just returns - * a const reference, in order to avoid a useless copy. - */ - EIGEN_DEVICE_FUNC - EIGEN_STRONG_INLINE EvalReturnType eval() const - { - // Even though MSVC does not honor strong inlining when the return type - // is a dynamic matrix, we desperately need strong inlining for fixed - // size types on MSVC. - return typename internal::eval<Derived>::type(derived()); - } - - /** swaps *this with the expression \a other. - * - */ - template<typename OtherDerived> - EIGEN_DEVICE_FUNC - void swap(const DenseBase<OtherDerived>& other, - int = OtherDerived::ThisConstantIsPrivateInPlainObjectBase) - { - SwapWrapper<Derived>(derived()).lazyAssign(other.derived()); - } - - /** swaps *this with the matrix or array \a other. - * - */ - template<typename OtherDerived> - EIGEN_DEVICE_FUNC - void swap(PlainObjectBase<OtherDerived>& other) - { - SwapWrapper<Derived>(derived()).lazyAssign(other.derived()); - } - - - EIGEN_DEVICE_FUNC inline const NestByValue<Derived> nestByValue() const; - EIGEN_DEVICE_FUNC inline const ForceAlignedAccess<Derived> forceAlignedAccess() const; - EIGEN_DEVICE_FUNC inline ForceAlignedAccess<Derived> forceAlignedAccess(); - template<bool Enable> EIGEN_DEVICE_FUNC - inline const typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type forceAlignedAccessIf() const; - template<bool Enable> EIGEN_DEVICE_FUNC - inline typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type forceAlignedAccessIf(); - - EIGEN_DEVICE_FUNC Scalar sum() const; - EIGEN_DEVICE_FUNC Scalar mean() const; - EIGEN_DEVICE_FUNC Scalar trace() const; - - EIGEN_DEVICE_FUNC Scalar prod() const; - - EIGEN_DEVICE_FUNC typename internal::traits<Derived>::Scalar minCoeff() const; - EIGEN_DEVICE_FUNC typename internal::traits<Derived>::Scalar maxCoeff() const; - - template<typename IndexType> EIGEN_DEVICE_FUNC - typename internal::traits<Derived>::Scalar minCoeff(IndexType* row, IndexType* col) const; - template<typename IndexType> EIGEN_DEVICE_FUNC - typename internal::traits<Derived>::Scalar maxCoeff(IndexType* row, IndexType* col) const; - template<typename IndexType> EIGEN_DEVICE_FUNC - typename internal::traits<Derived>::Scalar minCoeff(IndexType* index) const; - template<typename IndexType> EIGEN_DEVICE_FUNC - typename internal::traits<Derived>::Scalar maxCoeff(IndexType* index) const; - - template<typename BinaryOp> - EIGEN_DEVICE_FUNC - typename internal::result_of<BinaryOp(typename internal::traits<Derived>::Scalar)>::type - redux(const BinaryOp& func) const; - - template<typename Visitor> - EIGEN_DEVICE_FUNC - void visit(Visitor& func) const; - - inline const WithFormat<Derived> format(const IOFormat& fmt) const; - - /** \returns the unique coefficient of a 1x1 expression */ - EIGEN_DEVICE_FUNC - CoeffReturnType value() const - { - EIGEN_STATIC_ASSERT_SIZE_1x1(Derived) - eigen_assert(this->rows() == 1 && this->cols() == 1); - return derived().coeff(0,0); - } - - bool all() const; - bool any() const; - Index count() const; - - typedef VectorwiseOp<Derived, Horizontal> RowwiseReturnType; - typedef const VectorwiseOp<const Derived, Horizontal> ConstRowwiseReturnType; - typedef VectorwiseOp<Derived, Vertical> ColwiseReturnType; - typedef const VectorwiseOp<const Derived, Vertical> ConstColwiseReturnType; - - ConstRowwiseReturnType rowwise() const; - RowwiseReturnType rowwise(); - ConstColwiseReturnType colwise() const; - ColwiseReturnType colwise(); - - static const CwiseNullaryOp<internal::scalar_random_op<Scalar>,Derived> Random(Index rows, Index cols); - static const CwiseNullaryOp<internal::scalar_random_op<Scalar>,Derived> Random(Index size); - static const CwiseNullaryOp<internal::scalar_random_op<Scalar>,Derived> Random(); - - template<typename ThenDerived,typename ElseDerived> - const Select<Derived,ThenDerived,ElseDerived> - select(const DenseBase<ThenDerived>& thenMatrix, - const DenseBase<ElseDerived>& elseMatrix) const; - - template<typename ThenDerived> - inline const Select<Derived,ThenDerived, typename ThenDerived::ConstantReturnType> - select(const DenseBase<ThenDerived>& thenMatrix, const typename ThenDerived::Scalar& elseScalar) const; - - template<typename ElseDerived> - inline const Select<Derived, typename ElseDerived::ConstantReturnType, ElseDerived > - select(const typename ElseDerived::Scalar& thenScalar, const DenseBase<ElseDerived>& elseMatrix) const; - - template<int p> RealScalar lpNorm() const; - - template<int RowFactor, int ColFactor> - const Replicate<Derived,RowFactor,ColFactor> replicate() const; - const Replicate<Derived,Dynamic,Dynamic> replicate(Index rowFacor,Index colFactor) const; - - typedef Reverse<Derived, BothDirections> ReverseReturnType; - typedef const Reverse<const Derived, BothDirections> ConstReverseReturnType; - ReverseReturnType reverse(); - ConstReverseReturnType reverse() const; - void reverseInPlace(); - -#define EIGEN_CURRENT_STORAGE_BASE_CLASS Eigen::DenseBase -# include "../plugins/BlockMethods.h" -# ifdef EIGEN_DENSEBASE_PLUGIN -# include EIGEN_DENSEBASE_PLUGIN -# endif -// Because of an intra-Google include scanner limitation, -// third_party/stan cannot define the EIGEN_DENSEBASE_PLUGIN -// macro -// as "stan/math/matrix/EigenDenseBaseAddons.hpp". According to -// ambrose@google.com, this is a known limitation: the include -// scanner doesn't maintain any preprocessor state about macros, -// previously visited files, etc. See also //base/stacktrace.cc. -# ifdef STAN_MATH_MATRIX_EIGEN_DENSEBASE_PLUGIN -# include "stan/math/matrix/EigenDenseBaseAddons.hpp" -# endif -#undef EIGEN_CURRENT_STORAGE_BASE_CLASS - -#ifdef EIGEN2_SUPPORT - - Block<Derived> corner(CornerType type, Index cRows, Index cCols); - const Block<Derived> corner(CornerType type, Index cRows, Index cCols) const; - template<int CRows, int CCols> - Block<Derived, CRows, CCols> corner(CornerType type); - template<int CRows, int CCols> - const Block<Derived, CRows, CCols> corner(CornerType type) const; - -#endif // EIGEN2_SUPPORT - - - // disable the use of evalTo for dense objects with a nice compilation error - template<typename Dest> - EIGEN_DEVICE_FUNC - inline void evalTo(Dest& ) const - { - EIGEN_STATIC_ASSERT((internal::is_same<Dest,void>::value),THE_EVAL_EVALTO_FUNCTION_SHOULD_NEVER_BE_CALLED_FOR_DENSE_OBJECTS); - } - - protected: - /** Default constructor. Do nothing. */ - EIGEN_DEVICE_FUNC DenseBase() - { - /* Just checks for self-consistency of the flags. - * Only do it when debugging Eigen, as this borders on paranoiac and could slow compilation down - */ -#ifdef EIGEN_INTERNAL_DEBUGGING - EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, int(IsRowMajor)) - && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, int(!IsRowMajor))), - INVALID_STORAGE_ORDER_FOR_THIS_VECTOR_EXPRESSION) -#endif - } - - private: - EIGEN_DEVICE_FUNC explicit DenseBase(int); - EIGEN_DEVICE_FUNC DenseBase(int,int); - template<typename OtherDerived> EIGEN_DEVICE_FUNC explicit DenseBase(const DenseBase<OtherDerived>&); -}; - -} // end namespace Eigen - -#endif // EIGEN_DENSEBASE_H |