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https://gitlab.com/libeigen/eigen.git
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- add _packetCoeff() to Inverse, allowing vectorization.
- let Inverse take template parameter MatrixType instead of ExpressionType, in order to reduce executable code size when taking inverses of xpr's. - introduce ei_corrected_matrix_flags : the flags template parameter to the Matrix class is only a suggestion. This is also useful in ei_eval.
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@ -35,7 +35,7 @@
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* specify that the number of rows is dynamic, i.e. is not fixed at compile-time.
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* \param _Cols the number of columns at compile-time. Use the special value \a Dynamic to
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* specify that the number of columns is dynamic, i.e. is not fixed at compile-time.
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* \param _Flags allows to control certain features such as storage order. See MatrixBase::Flags.
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* \param _SuggestedFlags allows to control certain features such as storage order. See MatrixBase::Flags.
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*
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* This single class template covers all kinds of matrix and vectors that Eigen can handle.
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* All matrix and vector types are just typedefs to specializations of this class template.
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@ -70,8 +70,8 @@
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*
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* Note that most of the API is in the base class MatrixBase.
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*/
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template<typename _Scalar, int _Rows, int _Cols, unsigned int _Flags, int _MaxRows, int _MaxCols>
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struct ei_traits<Matrix<_Scalar, _Rows, _Cols, _Flags, _MaxRows, _MaxCols> >
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template<typename _Scalar, int _Rows, int _Cols, unsigned int _SuggestedFlags, int _MaxRows, int _MaxCols>
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struct ei_traits<Matrix<_Scalar, _Rows, _Cols, _SuggestedFlags, _MaxRows, _MaxCols> >
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{
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typedef _Scalar Scalar;
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enum {
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@ -79,11 +79,7 @@ struct ei_traits<Matrix<_Scalar, _Rows, _Cols, _Flags, _MaxRows, _MaxCols> >
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ColsAtCompileTime = _Cols,
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MaxRowsAtCompileTime = _MaxRows,
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MaxColsAtCompileTime = _MaxCols,
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Flags = (_Flags & ~VectorizableBit)
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| (
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ei_is_matrix_vectorizable<Scalar, _Rows, _Cols, _Flags>::ret
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? VectorizableBit : 0
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),
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Flags = ei_corrected_matrix_flags<_Scalar, _Rows, _Cols, _SuggestedFlags>::ret,
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CoeffReadCost = NumTraits<Scalar>::ReadCost
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};
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};
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@ -511,8 +511,8 @@ template<typename Derived> class MatrixBase
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* \code #include <Eigen/LU> \endcode
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*/
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//@{
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const Inverse<Derived, true> inverse() const;
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const Inverse<Derived, false> quickInverse() const;
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const Inverse<typename ei_eval<Derived>::type, true> inverse() const;
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const Inverse<typename ei_eval<Derived>::type, false> quickInverse() const;
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Scalar determinant() const;
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//@}
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@ -30,7 +30,7 @@ template<typename Lhs, typename Rhs> struct ei_product_eval_mode;
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template<typename T> struct NumTraits;
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template<typename _Scalar, int _Rows, int _Cols,
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unsigned int _Flags = EIGEN_DEFAULT_MATRIX_FLAGS,
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unsigned int _SuggestedFlags = EIGEN_DEFAULT_MATRIX_FLAGS,
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int _MaxRows = _Rows, int _MaxCols = _Cols>
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class Matrix;
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@ -145,36 +145,44 @@ template<typename T> struct ei_packet_traits
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enum {size=1};
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};
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template<typename Scalar, int Rows, int Cols, unsigned int Flags>
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struct ei_is_matrix_vectorizable
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template<typename Scalar, int Rows, int Cols, unsigned int SuggestedFlags>
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class ei_corrected_matrix_flags
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{
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enum { ret = ei_packet_traits<Scalar>::size > 1
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&& Rows!=Dynamic
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&& Cols!=Dynamic
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&&
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(
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(Flags&RowMajorBit && Cols%ei_packet_traits<Scalar>::size==0)
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|| (Rows%ei_packet_traits<Scalar>::size==0)
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)
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};
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enum { is_vectorizable
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= ei_packet_traits<Scalar>::size > 1
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&& Rows!=Dynamic
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&& Cols!=Dynamic
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&&
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(
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SuggestedFlags&RowMajorBit
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? Cols%ei_packet_traits<Scalar>::size==0
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: Rows%ei_packet_traits<Scalar>::size==0
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),
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_flags1 = SuggestedFlags & ~(EvalBeforeNestingBit | EvalBeforeAssigningBit)
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};
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public:
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enum { ret = is_vectorizable
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? _flags1 | VectorizableBit
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: _flags1 & ~VectorizableBit
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};
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};
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template<typename T> struct ei_eval
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template<typename T> class ei_eval
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{
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typedef typename ei_traits<T>::Scalar _Scalar;
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enum { _Rows = ei_traits<T>::RowsAtCompileTime,
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_Cols = ei_traits<T>::ColsAtCompileTime,
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_Flags = ei_traits<T>::Flags
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};
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typedef Matrix<_Scalar,
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_Rows,
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_Cols,
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(_Flags & ~(EvalBeforeNestingBit | EvalBeforeAssigningBit))
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(ei_is_matrix_vectorizable<_Scalar, _Rows, _Cols, _Flags>::ret
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? VectorizableBit : 0),
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ei_traits<T>::MaxRowsAtCompileTime,
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ei_traits<T>::MaxColsAtCompileTime> type;
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typedef typename ei_traits<T>::Scalar _Scalar;
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enum { _Rows = ei_traits<T>::RowsAtCompileTime,
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_Cols = ei_traits<T>::ColsAtCompileTime,
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_Flags = ei_traits<T>::Flags
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};
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public:
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typedef Matrix<_Scalar,
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_Rows,
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_Cols,
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ei_corrected_matrix_flags<_Scalar, _Rows, _Cols, _Flags>::ret,
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ei_traits<T>::MaxRowsAtCompileTime,
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ei_traits<T>::MaxColsAtCompileTime> type;
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};
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template<typename T> struct ei_unref { typedef T type; };
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@ -29,7 +29,7 @@
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*
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* \brief Inverse of a matrix
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*
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* \param ExpressionType the type of the matrix/expression of which we are taking the inverse
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* \param MatrixType the type of the matrix of which we are taking the inverse
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* \param CheckExistence whether or not to check the existence of the inverse while computing it
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*
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* This class represents the inverse of a matrix. It is the return
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@ -38,11 +38,10 @@
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*
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* \sa MatrixBase::inverse(), MatrixBase::quickInverse()
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*/
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template<typename ExpressionType, bool CheckExistence>
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struct ei_traits<Inverse<ExpressionType, CheckExistence> >
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template<typename MatrixType, bool CheckExistence>
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struct ei_traits<Inverse<MatrixType, CheckExistence> >
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{
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typedef typename ExpressionType::Scalar Scalar;
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typedef typename ExpressionType::Eval MatrixType;
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typedef typename MatrixType::Scalar Scalar;
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enum {
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RowsAtCompileTime = MatrixType::RowsAtCompileTime,
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ColsAtCompileTime = MatrixType::ColsAtCompileTime,
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@ -53,20 +52,19 @@ struct ei_traits<Inverse<ExpressionType, CheckExistence> >
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};
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};
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template<typename ExpressionType, bool CheckExistence> class Inverse : ei_no_assignment_operator,
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public MatrixBase<Inverse<ExpressionType, CheckExistence> >
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template<typename MatrixType, bool CheckExistence> class Inverse : ei_no_assignment_operator,
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public MatrixBase<Inverse<MatrixType, CheckExistence> >
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{
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public:
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EIGEN_GENERIC_PUBLIC_INTERFACE(Inverse)
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typedef typename ei_traits<Inverse>::MatrixType MatrixType;
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Inverse(const ExpressionType& xpr)
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Inverse(const MatrixType& matrix)
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: m_exists(true),
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m_inverse(MatrixType::identity(xpr.rows(), xpr.cols()))
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m_inverse(MatrixType::identity(matrix.rows(), matrix.cols()))
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{
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ei_assert(xpr.rows() == xpr.cols());
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_compute(xpr);
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ei_assert(matrix.rows() == matrix.cols());
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_compute(matrix);
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}
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/** \returns whether or not the inverse exists.
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@ -86,24 +84,29 @@ template<typename ExpressionType, bool CheckExistence> class Inverse : ei_no_ass
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return m_inverse.coeff(row, col);
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}
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PacketScalar _packetCoeff(int row, int col) const
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{
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return m_inverse.packetCoeff(row, col);
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}
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enum { _Size = MatrixType::RowsAtCompileTime };
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void _compute(const ExpressionType& xpr);
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void _compute_in_general_case(const ExpressionType& xpr);
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void _compute_in_size1_case(const ExpressionType& xpr);
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void _compute_in_size2_case(const ExpressionType& xpr);
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void _compute_in_size3_case(const ExpressionType& xpr);
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void _compute_in_size4_case(const ExpressionType& xpr);
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void _compute(const MatrixType& matrix);
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void _compute_in_general_case(const MatrixType& matrix);
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void _compute_in_size1_case(const MatrixType& matrix);
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void _compute_in_size2_case(const MatrixType& matrix);
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void _compute_in_size3_case(const MatrixType& matrix);
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void _compute_in_size4_case(const MatrixType& matrix);
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protected:
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bool m_exists;
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MatrixType m_inverse;
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};
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template<typename ExpressionType, bool CheckExistence>
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void Inverse<ExpressionType, CheckExistence>
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::_compute_in_general_case(const ExpressionType& xpr)
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template<typename MatrixType, bool CheckExistence>
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void Inverse<MatrixType, CheckExistence>
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::_compute_in_general_case(const MatrixType& _matrix)
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{
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MatrixType matrix(xpr);
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MatrixType matrix(_matrix);
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const RealScalar max = CheckExistence ? matrix.cwiseAbs().maxCoeff()
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: static_cast<RealScalar>(0);
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const int size = matrix.rows();
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@ -141,10 +144,10 @@ void Inverse<ExpressionType, CheckExistence>
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}
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}
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template<typename ExpressionType, typename MatrixType, bool CheckExistence>
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bool ei_compute_size2_inverse(const ExpressionType& xpr, MatrixType* result)
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template<typename ExpressionType, bool CheckExistence>
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bool ei_compute_size2_inverse(const ExpressionType& xpr, typename ExpressionType::Eval* result)
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{
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typedef typename MatrixType::Scalar Scalar;
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typedef typename ExpressionType::Scalar Scalar;
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const typename ei_nested<ExpressionType, 1+CheckExistence>::type matrix(xpr);
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const Scalar det = matrix.determinant();
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if(CheckExistence && ei_isMuchSmallerThan(det, matrix.cwiseAbs().maxCoeff()))
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@ -157,10 +160,9 @@ bool ei_compute_size2_inverse(const ExpressionType& xpr, MatrixType* result)
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return true;
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}
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template<typename ExpressionType, bool CheckExistence>
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void Inverse<ExpressionType, CheckExistence>::_compute_in_size3_case(const ExpressionType& xpr)
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template<typename MatrixType, bool CheckExistence>
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void Inverse<MatrixType, CheckExistence>::_compute_in_size3_case(const MatrixType& matrix)
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{
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const typename ei_nested<ExpressionType, 2+CheckExistence>::type matrix(xpr);
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const Scalar det_minor00 = matrix.minor(0,0).determinant();
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const Scalar det_minor10 = matrix.minor(1,0).determinant();
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const Scalar det_minor20 = matrix.minor(2,0).determinant();
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@ -184,25 +186,37 @@ void Inverse<ExpressionType, CheckExistence>::_compute_in_size3_case(const Expre
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}
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}
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template<typename ExpressionType, bool CheckExistence>
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void Inverse<ExpressionType, CheckExistence>::_compute_in_size4_case(const ExpressionType& xpr)
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template<typename MatrixType, bool CheckExistence>
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void Inverse<MatrixType, CheckExistence>::_compute_in_size4_case(const MatrixType& matrix)
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{
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typedef Block<ExpressionType,2,2> XprBlock22;
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/* Let's split M into four 2x2 blocks:
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* (P Q)
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* (R S)
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* If P is invertible, with inverse denoted by P_inverse, and if
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* (S - R*P_inverse*Q) is also invertible, then the inverse of M is
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* (P' Q')
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* (R' S')
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* where
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* S' = (S - R*P_inverse*Q)^(-1)
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* P' = P1 + (P1*Q) * S' *(R*P_inverse)
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* Q' = -(P_inverse*Q) * S'
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* R' = -S' * (R*P_inverse)
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*/
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typedef Block<MatrixType,2,2> XprBlock22;
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typedef typename XprBlock22::Eval Block22;
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Block22 P_inverse;
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if(ei_compute_size2_inverse<XprBlock22, Block22, true>(xpr.template block<2,2>(0,0), &P_inverse))
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if(ei_compute_size2_inverse<XprBlock22, true>(matrix.template block<2,2>(0,0), &P_inverse))
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{
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const Block22 Q = xpr.template block<2,2>(0,2);
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const Block22 Q = matrix.template block<2,2>(0,2);
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const Block22 P_inverse_times_Q = P_inverse * Q;
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const XprBlock22 R = xpr.template block<2,2>(2,0);
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const XprBlock22 R = matrix.template block<2,2>(2,0);
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const Block22 R_times_P_inverse = R * P_inverse;
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const Block22 R_times_P_inverse_times_Q = R_times_P_inverse * Q;
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const XprBlock22 S = xpr.template block<2,2>(2,2);
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const XprBlock22 S = matrix.template block<2,2>(2,2);
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const Block22 X = S - R_times_P_inverse_times_Q;
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Block22 Y;
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if(ei_compute_size2_inverse<Block22, Block22, CheckExistence>(X, &Y))
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if(ei_compute_size2_inverse<Block22, CheckExistence>(X, &Y))
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{
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m_inverse.template block<2,2>(2,2) = Y;
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m_inverse.template block<2,2>(2,0) = - Y * R_times_P_inverse;
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@ -217,16 +231,16 @@ void Inverse<ExpressionType, CheckExistence>::_compute_in_size4_case(const Expre
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}
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else
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{
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_compute_in_general_case(xpr);
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_compute_in_general_case(matrix);
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}
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}
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template<typename ExpressionType, bool CheckExistence>
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void Inverse<ExpressionType, CheckExistence>::_compute(const ExpressionType& xpr)
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template<typename MatrixType, bool CheckExistence>
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void Inverse<MatrixType, CheckExistence>::_compute(const MatrixType& matrix)
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{
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if(_Size == 1)
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{
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const Scalar x = xpr.coeff(0,0);
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const Scalar x = matrix.coeff(0,0);
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if(CheckExistence && x == static_cast<Scalar>(0))
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m_exists = false;
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else
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@ -235,13 +249,13 @@ void Inverse<ExpressionType, CheckExistence>::_compute(const ExpressionType& xpr
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else if(_Size == 2)
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{
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if(CheckExistence)
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m_exists = ei_compute_size2_inverse<ExpressionType, MatrixType, true>(xpr, &m_inverse);
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m_exists = ei_compute_size2_inverse<MatrixType, true>(matrix, &m_inverse);
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else
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ei_compute_size2_inverse<ExpressionType, MatrixType, false>(xpr, &m_inverse);
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ei_compute_size2_inverse<MatrixType, false>(matrix, &m_inverse);
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}
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else if(_Size == 3) _compute_in_size3_case(xpr);
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else if(_Size == 4) _compute_in_size4_case(xpr);
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else _compute_in_general_case(xpr);
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else if(_Size == 3) _compute_in_size3_case(matrix);
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else if(_Size == 4) _compute_in_size4_case(matrix);
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else _compute_in_general_case(matrix);
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}
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/** \return the matrix inverse of \c *this, if it exists.
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@ -252,10 +266,10 @@ void Inverse<ExpressionType, CheckExistence>::_compute(const ExpressionType& xpr
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* \sa class Inverse
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*/
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template<typename Derived>
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const Inverse<Derived, true>
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const Inverse<typename ei_eval<Derived>::type, true>
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MatrixBase<Derived>::inverse() const
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{
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return Inverse<Derived, true>(derived());
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return Inverse<typename ei_eval<Derived>::type, true>(derived());
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}
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/** \return the matrix inverse of \c *this, which is assumed to exist.
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@ -266,10 +280,10 @@ MatrixBase<Derived>::inverse() const
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* \sa class Inverse
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*/
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template<typename Derived>
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const Inverse<Derived, false>
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const Inverse<typename ei_eval<Derived>::type, false>
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MatrixBase<Derived>::quickInverse() const
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{
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return Inverse<Derived, false>(derived());
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return Inverse<typename ei_eval<Derived>::type, false>(derived());
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}
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#endif // EIGEN_INVERSE_H
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