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Diffstat (limited to 'extern/Eigen3/Eigen/src/Core/DiagonalProduct.h')
-rw-r--r-- | extern/Eigen3/Eigen/src/Core/DiagonalProduct.h | 135 |
1 files changed, 135 insertions, 0 deletions
diff --git a/extern/Eigen3/Eigen/src/Core/DiagonalProduct.h b/extern/Eigen3/Eigen/src/Core/DiagonalProduct.h new file mode 100644 index 00000000000..de0c6ed11b7 --- /dev/null +++ b/extern/Eigen3/Eigen/src/Core/DiagonalProduct.h @@ -0,0 +1,135 @@ +// This file is part of Eigen, a lightweight C++ template library +// for linear algebra. +// +// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr> +// Copyright (C) 2007-2009 Benoit Jacob <jacob.benoit.1@gmail.com> +// +// Eigen is free software; you can redistribute it and/or +// modify it under the terms of the GNU Lesser General Public +// License as published by the Free Software Foundation; either +// version 3 of the License, or (at your option) any later version. +// +// Alternatively, you can redistribute it and/or +// modify it under the terms of the GNU General Public License as +// published by the Free Software Foundation; either version 2 of +// the License, or (at your option) any later version. +// +// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY +// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS +// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the +// GNU General Public License for more details. +// +// You should have received a copy of the GNU Lesser General Public +// License and a copy of the GNU General Public License along with +// Eigen. If not, see <http://www.gnu.org/licenses/>. + +#ifndef EIGEN_DIAGONALPRODUCT_H +#define EIGEN_DIAGONALPRODUCT_H + +namespace internal { +template<typename MatrixType, typename DiagonalType, int ProductOrder> +struct traits<DiagonalProduct<MatrixType, DiagonalType, ProductOrder> > + : traits<MatrixType> +{ + typedef typename scalar_product_traits<typename MatrixType::Scalar, typename DiagonalType::Scalar>::ReturnType Scalar; + enum { + RowsAtCompileTime = MatrixType::RowsAtCompileTime, + ColsAtCompileTime = MatrixType::ColsAtCompileTime, + MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime, + MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime, + + _StorageOrder = MatrixType::Flags & RowMajorBit ? RowMajor : ColMajor, + _PacketOnDiag = !((int(_StorageOrder) == RowMajor && int(ProductOrder) == OnTheLeft) + ||(int(_StorageOrder) == ColMajor && int(ProductOrder) == OnTheRight)), + _SameTypes = is_same<typename MatrixType::Scalar, typename DiagonalType::Scalar>::value, + // FIXME currently we need same types, but in the future the next rule should be the one + //_Vectorizable = bool(int(MatrixType::Flags)&PacketAccessBit) && ((!_PacketOnDiag) || (_SameTypes && bool(int(DiagonalType::Flags)&PacketAccessBit))), + _Vectorizable = bool(int(MatrixType::Flags)&PacketAccessBit) && _SameTypes && ((!_PacketOnDiag) || (bool(int(DiagonalType::Flags)&PacketAccessBit))), + + Flags = (HereditaryBits & (unsigned int)(MatrixType::Flags)) | (_Vectorizable ? PacketAccessBit : 0), + CoeffReadCost = NumTraits<Scalar>::MulCost + MatrixType::CoeffReadCost + DiagonalType::DiagonalVectorType::CoeffReadCost + }; +}; +} + +template<typename MatrixType, typename DiagonalType, int ProductOrder> +class DiagonalProduct : internal::no_assignment_operator, + public MatrixBase<DiagonalProduct<MatrixType, DiagonalType, ProductOrder> > +{ + public: + + typedef MatrixBase<DiagonalProduct> Base; + EIGEN_DENSE_PUBLIC_INTERFACE(DiagonalProduct) + + inline DiagonalProduct(const MatrixType& matrix, const DiagonalType& diagonal) + : m_matrix(matrix), m_diagonal(diagonal) + { + eigen_assert(diagonal.diagonal().size() == (ProductOrder == OnTheLeft ? matrix.rows() : matrix.cols())); + } + + inline Index rows() const { return m_matrix.rows(); } + inline Index cols() const { return m_matrix.cols(); } + + const Scalar coeff(Index row, Index col) const + { + return m_diagonal.diagonal().coeff(ProductOrder == OnTheLeft ? row : col) * m_matrix.coeff(row, col); + } + + template<int LoadMode> + EIGEN_STRONG_INLINE PacketScalar packet(Index row, Index col) const + { + enum { + StorageOrder = Flags & RowMajorBit ? RowMajor : ColMajor + }; + const Index indexInDiagonalVector = ProductOrder == OnTheLeft ? row : col; + + return packet_impl<LoadMode>(row,col,indexInDiagonalVector,typename internal::conditional< + ((int(StorageOrder) == RowMajor && int(ProductOrder) == OnTheLeft) + ||(int(StorageOrder) == ColMajor && int(ProductOrder) == OnTheRight)), internal::true_type, internal::false_type>::type()); + } + + protected: + template<int LoadMode> + EIGEN_STRONG_INLINE PacketScalar packet_impl(Index row, Index col, Index id, internal::true_type) const + { + return internal::pmul(m_matrix.template packet<LoadMode>(row, col), + internal::pset1<PacketScalar>(m_diagonal.diagonal().coeff(id))); + } + + template<int LoadMode> + EIGEN_STRONG_INLINE PacketScalar packet_impl(Index row, Index col, Index id, internal::false_type) const + { + enum { + InnerSize = (MatrixType::Flags & RowMajorBit) ? MatrixType::ColsAtCompileTime : MatrixType::RowsAtCompileTime, + DiagonalVectorPacketLoadMode = (LoadMode == Aligned && ((InnerSize%16) == 0)) ? Aligned : Unaligned + }; + return internal::pmul(m_matrix.template packet<LoadMode>(row, col), + m_diagonal.diagonal().template packet<DiagonalVectorPacketLoadMode>(id)); + } + + const typename MatrixType::Nested m_matrix; + const typename DiagonalType::Nested m_diagonal; +}; + +/** \returns the diagonal matrix product of \c *this by the diagonal matrix \a diagonal. + */ +template<typename Derived> +template<typename DiagonalDerived> +inline const DiagonalProduct<Derived, DiagonalDerived, OnTheRight> +MatrixBase<Derived>::operator*(const DiagonalBase<DiagonalDerived> &diagonal) const +{ + return DiagonalProduct<Derived, DiagonalDerived, OnTheRight>(derived(), diagonal.derived()); +} + +/** \returns the diagonal matrix product of \c *this by the matrix \a matrix. + */ +template<typename DiagonalDerived> +template<typename MatrixDerived> +inline const DiagonalProduct<MatrixDerived, DiagonalDerived, OnTheLeft> +DiagonalBase<DiagonalDerived>::operator*(const MatrixBase<MatrixDerived> &matrix) const +{ + return DiagonalProduct<MatrixDerived, DiagonalDerived, OnTheLeft>(matrix.derived(), derived()); +} + + +#endif // EIGEN_DIAGONALPRODUCT_H |