| // 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 |
| |
| // IWYU pragma: private |
| #include "./InternalHeaderCheck.h" |
| |
| namespace Eigen { |
| |
| // The index type defined by EIGEN_DEFAULT_DENSE_INDEX_TYPE must be a signed type. |
| EIGEN_STATIC_ASSERT(NumTraits<DenseIndex>::IsSigned, THE_INDEX_TYPE_MUST_BE_A_SIGNED_TYPE) |
| |
| /** \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 TopicCustomizing_Plugins by defining the preprocessor symbol \c EIGEN_DENSEBASE_PLUGIN. |
| * |
| * \sa \blank \ref TopicClassHierarchy |
| */ |
| template <typename Derived> |
| class DenseBase |
| #ifndef EIGEN_PARSED_BY_DOXYGEN |
| : public DenseCoeffsBase<Derived, internal::accessors_level<Derived>::value> |
| #else |
| : public DenseCoeffsBase<Derived, DirectWriteAccessors> |
| #endif // not EIGEN_PARSED_BY_DOXYGEN |
| { |
| public: |
| /** Inner iterator type to iterate over the coefficients of a row or column. |
| * \sa class InnerIterator |
| */ |
| typedef Eigen::InnerIterator<Derived> InnerIterator; |
| |
| typedef typename internal::traits<Derived>::StorageKind StorageKind; |
| |
| /** |
| * \brief The type used to store indices |
| * \details This typedef is relevant for types that store multiple indices such as |
| * PermutationMatrix or Transpositions, otherwise it defaults to Eigen::Index |
| * \sa \blank \ref TopicPreprocessorDirectives, Eigen::Index, SparseMatrixBase. |
| */ |
| typedef typename internal::traits<Derived>::StorageIndex StorageIndex; |
| |
| /** The numeric type of the expression' coefficients, e.g. float, double, int or std::complex<float>, etc. */ |
| typedef typename internal::traits<Derived>::Scalar Scalar; |
| |
| /** The numeric type of the expression' coefficients, e.g. float, double, int or std::complex<float>, etc. |
| * |
| * It is an alias for the Scalar type */ |
| typedef Scalar value_type; |
| |
| typedef typename NumTraits<Scalar>::Real RealScalar; |
| typedef DenseCoeffsBase<Derived, internal::accessors_level<Derived>::value> Base; |
| |
| using Base::coeff; |
| using Base::coeffByOuterInner; |
| using Base::colIndexByOuterInner; |
| using Base::cols; |
| using Base::const_cast_derived; |
| using Base::derived; |
| using Base::rowIndexByOuterInner; |
| using Base::rows; |
| using Base::size; |
| using Base::operator(); |
| using Base::operator[]; |
| using Base::colStride; |
| using Base::innerStride; |
| using Base::outerStride; |
| using Base::rowStride; |
| using Base::stride; |
| using Base::w; |
| using Base::x; |
| using Base::y; |
| using Base::z; |
| 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_of_xpr_at_compile_time<Derived>::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), |
| /**< 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>::RowsAtCompileTime == 1 || internal::traits<Derived>::ColsAtCompileTime == 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). */ |
| |
| NumDimensions = int(MaxSizeAtCompileTime) == 1 ? 0 |
| : bool(IsVectorAtCompileTime) ? 1 |
| : 2, |
| /**< This value is equal to Tensor::NumDimensions, i.e. 0 for scalars, 1 for vectors, |
| * and 2 for matrices. |
| */ |
| |
| 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), |
| |
| InnerStrideAtCompileTime = internal::inner_stride_at_compile_time<Derived>::ret, |
| OuterStrideAtCompileTime = internal::outer_stride_at_compile_time<Derived>::ret |
| }; |
| |
| typedef typename internal::find_best_packet<Scalar, SizeAtCompileTime>::type PacketScalar; |
| |
| enum { IsPlainObjectBase = 0 }; |
| |
| /** The plain matrix type corresponding to this expression. |
| * \sa PlainObject */ |
| typedef Matrix<typename internal::traits<Derived>::Scalar, internal::traits<Derived>::RowsAtCompileTime, |
| internal::traits<Derived>::ColsAtCompileTime, |
| AutoAlign | (internal::traits<Derived>::Flags & RowMajorBit ? RowMajor : ColMajor), |
| internal::traits<Derived>::MaxRowsAtCompileTime, internal::traits<Derived>::MaxColsAtCompileTime> |
| PlainMatrix; |
| |
| /** The plain array type corresponding to this expression. |
| * \sa PlainObject */ |
| typedef Array<typename internal::traits<Derived>::Scalar, internal::traits<Derived>::RowsAtCompileTime, |
| internal::traits<Derived>::ColsAtCompileTime, |
| AutoAlign | (internal::traits<Derived>::Flags & RowMajorBit ? RowMajor : ColMajor), |
| internal::traits<Derived>::MaxRowsAtCompileTime, internal::traits<Derived>::MaxColsAtCompileTime> |
| PlainArray; |
| |
| /** \brief The plain matrix or array type corresponding to this expression. |
| * |
| * This is not necessarily exactly the return type of eval(). In the case of plain matrices, |
| * the return type of eval() is a const reference to a matrix, not a matrix! It is however guaranteed |
| * that the return type of eval() is either PlainObject or const PlainObject&. |
| */ |
| typedef std::conditional_t<internal::is_same<typename internal::traits<Derived>::XprKind, MatrixXpr>::value, |
| PlainMatrix, PlainArray> |
| PlainObject; |
| |
| /** \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 EIGEN_CONSTEXPR 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 EIGEN_CONSTEXPR 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 rows, Index cols) { |
| EIGEN_ONLY_USED_FOR_DEBUG(rows); |
| EIGEN_ONLY_USED_FOR_DEBUG(cols); |
| eigen_assert(rows == this->rows() && cols == 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>, PlainObject> ConstantReturnType; |
| /** \internal \deprecated Represents a vector with linearly spaced coefficients that allows sequential access only. */ |
| EIGEN_DEPRECATED typedef CwiseNullaryOp<internal::linspaced_op<Scalar>, PlainObject> SequentialLinSpacedReturnType; |
| /** \internal Represents a vector with linearly spaced coefficients that allows random access. */ |
| typedef CwiseNullaryOp<internal::linspaced_op<Scalar>, PlainObject> RandomAccessLinSpacedReturnType; |
| /** \internal Represents a vector with equally spaced coefficients that allows random access. */ |
| typedef CwiseNullaryOp<internal::equalspaced_op<Scalar>, PlainObject> RandomAccessEqualSpacedReturnType; |
| /** \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 EIGEN_STRONG_INLINE 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 EIGEN_STRONG_INLINE 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); |
| |
| /** \internal |
| * Copies \a other into *this without evaluating other. \returns a reference to *this. */ |
| template <typename OtherDerived> |
| /** \deprecated */ |
| EIGEN_DEPRECATED EIGEN_DEVICE_FUNC Derived& lazyAssign(const DenseBase<OtherDerived>& other); |
| |
| EIGEN_DEVICE_FUNC CommaInitializer<Derived> operator<<(const Scalar& s); |
| |
| template <unsigned int Added, unsigned int Removed> |
| /** \deprecated it now returns \c *this */ |
| EIGEN_DEPRECATED const Derived& flagged() const { |
| return derived(); |
| } |
| |
| template <typename OtherDerived> |
| EIGEN_DEVICE_FUNC CommaInitializer<Derived> operator<<(const DenseBase<OtherDerived>& other); |
| |
| typedef Transpose<Derived> TransposeReturnType; |
| EIGEN_DEVICE_FUNC TransposeReturnType transpose(); |
| typedef Transpose<const Derived> ConstTransposeReturnType; |
| EIGEN_DEVICE_FUNC const ConstTransposeReturnType transpose() const; |
| EIGEN_DEVICE_FUNC void transposeInPlace(); |
| |
| 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_DEPRECATED EIGEN_DEVICE_FUNC static const RandomAccessLinSpacedReturnType LinSpaced(Sequential_t, Index size, |
| const Scalar& low, |
| const Scalar& high); |
| EIGEN_DEPRECATED EIGEN_DEVICE_FUNC static const RandomAccessLinSpacedReturnType LinSpaced(Sequential_t, |
| 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 RandomAccessLinSpacedReturnType LinSpaced(const Scalar& low, const Scalar& high); |
| |
| EIGEN_DEVICE_FUNC static const RandomAccessEqualSpacedReturnType EqualSpaced(Index size, const Scalar& low, |
| const Scalar& step); |
| EIGEN_DEVICE_FUNC static const RandomAccessEqualSpacedReturnType EqualSpaced(const Scalar& low, const Scalar& step); |
| |
| template <typename CustomNullaryOp> |
| EIGEN_DEVICE_FUNC static const CwiseNullaryOp<CustomNullaryOp, PlainObject> NullaryExpr(Index rows, Index cols, |
| const CustomNullaryOp& func); |
| template <typename CustomNullaryOp> |
| EIGEN_DEVICE_FUNC static const CwiseNullaryOp<CustomNullaryOp, PlainObject> NullaryExpr(Index size, |
| const CustomNullaryOp& func); |
| template <typename CustomNullaryOp> |
| EIGEN_DEVICE_FUNC static const CwiseNullaryOp<CustomNullaryOp, PlainObject> 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& setEqualSpaced(Index size, const Scalar& low, const Scalar& step); |
| EIGEN_DEVICE_FUNC Derived& setEqualSpaced(const Scalar& low, const Scalar& step); |
| 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; |
| |
| EIGEN_DEVICE_FUNC inline bool hasNaN() const; |
| EIGEN_DEVICE_FUNC inline bool allFinite() const; |
| |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& operator*=(const Scalar& other); |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& operator/=(const Scalar& other); |
| |
| typedef internal::add_const_on_value_type_t<typename internal::eval<Derived>::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. |
| * |
| * \warning Be careful with eval() and the auto C++ keyword, as detailed in this \link TopicPitfalls_auto_keyword page |
| * \endlink. |
| */ |
| 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 EIGEN_STRONG_INLINE void swap(const DenseBase<OtherDerived>& other) { |
| EIGEN_STATIC_ASSERT(!OtherDerived::IsPlainObjectBase, THIS_EXPRESSION_IS_NOT_A_LVALUE__IT_IS_READ_ONLY); |
| eigen_assert(rows() == other.rows() && cols() == other.cols()); |
| call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>()); |
| } |
| |
| /** swaps *this with the matrix or array \a other. |
| * |
| */ |
| template <typename OtherDerived> |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void swap(PlainObjectBase<OtherDerived>& other) { |
| eigen_assert(rows() == other.rows() && cols() == other.cols()); |
| call_assignment(derived(), other.derived(), internal::swap_assign_op<Scalar>()); |
| } |
| |
| 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 std::conditional_t<Enable, ForceAlignedAccess<Derived>, Derived&> |
| forceAlignedAccessIf() const; |
| template <bool Enable> |
| EIGEN_DEVICE_FUNC inline std::conditional_t<Enable, ForceAlignedAccess<Derived>, Derived&> 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; |
| |
| template <int NaNPropagation> |
| EIGEN_DEVICE_FUNC typename internal::traits<Derived>::Scalar minCoeff() const; |
| template <int NaNPropagation> |
| EIGEN_DEVICE_FUNC typename internal::traits<Derived>::Scalar maxCoeff() const; |
| |
| // By default, the fastest version with undefined NaN propagation semantics is |
| // used. |
| // TODO(rmlarsen): Replace with default template argument when we move to |
| // c++11 or beyond. |
| EIGEN_DEVICE_FUNC inline typename internal::traits<Derived>::Scalar minCoeff() const { |
| return minCoeff<PropagateFast>(); |
| } |
| EIGEN_DEVICE_FUNC inline typename internal::traits<Derived>::Scalar maxCoeff() const { |
| return maxCoeff<PropagateFast>(); |
| } |
| |
| template <int NaNPropagation, typename IndexType> |
| EIGEN_DEVICE_FUNC typename internal::traits<Derived>::Scalar minCoeff(IndexType* row, IndexType* col) const; |
| template <int NaNPropagation, typename IndexType> |
| EIGEN_DEVICE_FUNC typename internal::traits<Derived>::Scalar maxCoeff(IndexType* row, IndexType* col) const; |
| template <int NaNPropagation, typename IndexType> |
| EIGEN_DEVICE_FUNC typename internal::traits<Derived>::Scalar minCoeff(IndexType* index) const; |
| template <int NaNPropagation, typename IndexType> |
| EIGEN_DEVICE_FUNC typename internal::traits<Derived>::Scalar maxCoeff(IndexType* index) const; |
| |
| // TODO(rmlarsen): Replace these methods with a default template argument. |
| template <typename IndexType> |
| EIGEN_DEVICE_FUNC inline typename internal::traits<Derived>::Scalar minCoeff(IndexType* row, IndexType* col) const { |
| return minCoeff<PropagateFast>(row, col); |
| } |
| template <typename IndexType> |
| EIGEN_DEVICE_FUNC inline typename internal::traits<Derived>::Scalar maxCoeff(IndexType* row, IndexType* col) const { |
| return maxCoeff<PropagateFast>(row, col); |
| } |
| template <typename IndexType> |
| EIGEN_DEVICE_FUNC inline typename internal::traits<Derived>::Scalar minCoeff(IndexType* index) const { |
| return minCoeff<PropagateFast>(index); |
| } |
| template <typename IndexType> |
| EIGEN_DEVICE_FUNC inline typename internal::traits<Derived>::Scalar maxCoeff(IndexType* index) const { |
| return maxCoeff<PropagateFast>(index); |
| } |
| |
| template <typename BinaryOp> |
| EIGEN_DEVICE_FUNC Scalar redux(const BinaryOp& func) const; |
| |
| template <typename Visitor> |
| EIGEN_DEVICE_FUNC void visit(Visitor& func) const; |
| |
| /** \returns a WithFormat proxy object allowing to print a matrix the with given |
| * format \a fmt. |
| * |
| * See class IOFormat for some examples. |
| * |
| * \sa class IOFormat, class WithFormat |
| */ |
| inline const WithFormat<Derived> format(const IOFormat& fmt) const { return WithFormat<Derived>(derived(), fmt); } |
| |
| /** \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); |
| } |
| |
| EIGEN_DEVICE_FUNC bool all() const; |
| EIGEN_DEVICE_FUNC bool any() const; |
| EIGEN_DEVICE_FUNC 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; |
| |
| /** \returns a VectorwiseOp wrapper of *this for broadcasting and partial reductions |
| * |
| * Example: \include MatrixBase_rowwise.cpp |
| * Output: \verbinclude MatrixBase_rowwise.out |
| * |
| * \sa colwise(), class VectorwiseOp, \ref TutorialReductionsVisitorsBroadcasting |
| */ |
| // Code moved here due to a CUDA compiler bug |
| EIGEN_DEVICE_FUNC inline ConstRowwiseReturnType rowwise() const { return ConstRowwiseReturnType(derived()); } |
| EIGEN_DEVICE_FUNC RowwiseReturnType rowwise(); |
| |
| /** \returns a VectorwiseOp wrapper of *this broadcasting and partial reductions |
| * |
| * Example: \include MatrixBase_colwise.cpp |
| * Output: \verbinclude MatrixBase_colwise.out |
| * |
| * \sa rowwise(), class VectorwiseOp, \ref TutorialReductionsVisitorsBroadcasting |
| */ |
| EIGEN_DEVICE_FUNC inline ConstColwiseReturnType colwise() const { return ConstColwiseReturnType(derived()); } |
| EIGEN_DEVICE_FUNC ColwiseReturnType colwise(); |
| |
| typedef CwiseNullaryOp<internal::scalar_random_op<Scalar>, PlainObject> RandomReturnType; |
| static const RandomReturnType Random(Index rows, Index cols); |
| static const RandomReturnType Random(Index size); |
| static const RandomReturnType Random(); |
| |
| template <typename ThenDerived, typename ElseDerived> |
| inline EIGEN_DEVICE_FUNC |
| CwiseTernaryOp<internal::scalar_boolean_select_op<typename DenseBase<ThenDerived>::Scalar, |
| typename DenseBase<ElseDerived>::Scalar, Scalar>, |
| ThenDerived, ElseDerived, Derived> |
| select(const DenseBase<ThenDerived>& thenMatrix, const DenseBase<ElseDerived>& elseMatrix) const; |
| |
| template <typename ThenDerived> |
| inline EIGEN_DEVICE_FUNC |
| CwiseTernaryOp<internal::scalar_boolean_select_op<typename DenseBase<ThenDerived>::Scalar, |
| typename DenseBase<ThenDerived>::Scalar, Scalar>, |
| ThenDerived, typename DenseBase<ThenDerived>::ConstantReturnType, Derived> |
| select(const DenseBase<ThenDerived>& thenMatrix, const typename DenseBase<ThenDerived>::Scalar& elseScalar) const; |
| |
| template <typename ElseDerived> |
| inline EIGEN_DEVICE_FUNC |
| CwiseTernaryOp<internal::scalar_boolean_select_op<typename DenseBase<ElseDerived>::Scalar, |
| typename DenseBase<ElseDerived>::Scalar, Scalar>, |
| typename DenseBase<ElseDerived>::ConstantReturnType, ElseDerived, Derived> |
| select(const typename DenseBase<ElseDerived>::Scalar& thenScalar, const DenseBase<ElseDerived>& elseMatrix) const; |
| |
| template <int p> |
| RealScalar lpNorm() const; |
| |
| template <int RowFactor, int ColFactor> |
| EIGEN_DEVICE_FUNC const Replicate<Derived, RowFactor, ColFactor> replicate() const; |
| /** |
| * \return an expression of the replication of \c *this |
| * |
| * Example: \include MatrixBase_replicate_int_int.cpp |
| * Output: \verbinclude MatrixBase_replicate_int_int.out |
| * |
| * \sa VectorwiseOp::replicate(), DenseBase::replicate<int,int>(), class Replicate |
| */ |
| // Code moved here due to a CUDA compiler bug |
| EIGEN_DEVICE_FUNC const Replicate<Derived, Dynamic, Dynamic> replicate(Index rowFactor, Index colFactor) const { |
| return Replicate<Derived, Dynamic, Dynamic>(derived(), rowFactor, colFactor); |
| } |
| |
| typedef Reverse<Derived, BothDirections> ReverseReturnType; |
| typedef const Reverse<const Derived, BothDirections> ConstReverseReturnType; |
| EIGEN_DEVICE_FUNC ReverseReturnType reverse(); |
| /** This is the const version of reverse(). */ |
| // Code moved here due to a CUDA compiler bug |
| EIGEN_DEVICE_FUNC ConstReverseReturnType reverse() const { return ConstReverseReturnType(derived()); } |
| EIGEN_DEVICE_FUNC void reverseInPlace(); |
| |
| #ifdef EIGEN_PARSED_BY_DOXYGEN |
| /** STL-like <a href="https://en.cppreference.com/w/cpp/named_req/RandomAccessIterator">RandomAccessIterator</a> |
| * iterator type as returned by the begin() and end() methods. |
| */ |
| typedef random_access_iterator_type iterator; |
| /** This is the const version of iterator (aka read-only) */ |
| typedef random_access_iterator_type const_iterator; |
| #else |
| typedef std::conditional_t<(Flags & DirectAccessBit) == DirectAccessBit, |
| internal::pointer_based_stl_iterator<Derived>, |
| internal::generic_randaccess_stl_iterator<Derived> > |
| iterator_type; |
| |
| typedef std::conditional_t<(Flags & DirectAccessBit) == DirectAccessBit, |
| internal::pointer_based_stl_iterator<const Derived>, |
| internal::generic_randaccess_stl_iterator<const Derived> > |
| const_iterator_type; |
| |
| // Stl-style iterators are supported only for vectors. |
| |
| typedef std::conditional_t<IsVectorAtCompileTime, iterator_type, void> iterator; |
| |
| typedef std::conditional_t<IsVectorAtCompileTime, const_iterator_type, void> const_iterator; |
| #endif |
| |
| inline iterator begin(); |
| inline const_iterator begin() const; |
| inline const_iterator cbegin() const; |
| inline iterator end(); |
| inline const_iterator end() const; |
| inline const_iterator cend() const; |
| |
| #define EIGEN_CURRENT_STORAGE_BASE_CLASS Eigen::DenseBase |
| #define EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL |
| #define EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(COND) |
| #define EIGEN_DOC_UNARY_ADDONS(X, Y) |
| #include "../plugins/CommonCwiseUnaryOps.inc" |
| #include "../plugins/BlockMethods.inc" |
| #include "../plugins/IndexedViewMethods.inc" |
| #include "../plugins/ReshapedMethods.inc" |
| #ifdef EIGEN_DENSEBASE_PLUGIN |
| #include EIGEN_DENSEBASE_PLUGIN |
| #endif |
| #undef EIGEN_CURRENT_STORAGE_BASE_CLASS |
| #undef EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL |
| #undef EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF |
| #undef EIGEN_DOC_UNARY_ADDONS |
| |
| // 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: |
| EIGEN_DEFAULT_COPY_CONSTRUCTOR(DenseBase) |
| /** Default constructor. Do nothing. */ |
| EIGEN_DEVICE_FUNC constexpr DenseBase() { |
| /* Just checks for self-consistency of the flags. |
| * Only do it when debugging Eigen, as this borders on paranoia and could slow compilation down |
| */ |
| #ifdef EIGEN_INTERNAL_DEBUGGING |
| EIGEN_STATIC_ASSERT( |
| (internal::check_implication(MaxRowsAtCompileTime == 1 && MaxColsAtCompileTime != 1, int(IsRowMajor)) && |
| internal::check_implication(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 |
