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* pload* and pset1 are now templated on the packet type * gemv routines are now embeded into a structure with a consistent API with respect to gemm * some configurations of vector * matrix and matrix * matrix works fine, some need more work...
134 lines
5.9 KiB
C++
134 lines
5.9 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
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// Copyright (C) 2007-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_DIAGONALPRODUCT_H
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#define EIGEN_DIAGONALPRODUCT_H
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template<typename MatrixType, typename DiagonalType, int ProductOrder>
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struct ei_traits<DiagonalProduct<MatrixType, DiagonalType, ProductOrder> >
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: ei_traits<MatrixType>
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{
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typedef typename ei_scalar_product_traits<typename MatrixType::Scalar, typename DiagonalType::Scalar>::ReturnType Scalar;
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enum {
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RowsAtCompileTime = MatrixType::RowsAtCompileTime,
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ColsAtCompileTime = MatrixType::ColsAtCompileTime,
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MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
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MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime,
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_StorageOrder = MatrixType::Flags & RowMajorBit ? RowMajor : ColMajor,
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_PacketOnDiag = !((int(_StorageOrder) == RowMajor && int(ProductOrder) == OnTheLeft)
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||(int(_StorageOrder) == ColMajor && int(ProductOrder) == OnTheRight)),
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_SameTypes = ei_is_same_type<typename MatrixType::Scalar, typename DiagonalType::Scalar>::ret,
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// FIXME currently we need same types, but in the future the next rule should be the one
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//_Vectorizable = bool(int(MatrixType::Flags)&PacketAccessBit) && ((!_PacketOnDiag) || (_SameTypes && bool(int(DiagonalType::Flags)&PacketAccessBit))),
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_Vectorizable = bool(int(MatrixType::Flags)&PacketAccessBit) && _SameTypes && ((!_PacketOnDiag) || (bool(int(DiagonalType::Flags)&PacketAccessBit))),
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Flags = (HereditaryBits & (unsigned int)(MatrixType::Flags)) | (_Vectorizable ? PacketAccessBit : 0),
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CoeffReadCost = NumTraits<Scalar>::MulCost + MatrixType::CoeffReadCost + DiagonalType::DiagonalVectorType::CoeffReadCost
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};
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};
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template<typename MatrixType, typename DiagonalType, int ProductOrder>
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class DiagonalProduct : ei_no_assignment_operator,
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public MatrixBase<DiagonalProduct<MatrixType, DiagonalType, ProductOrder> >
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{
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public:
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typedef MatrixBase<DiagonalProduct> Base;
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EIGEN_DENSE_PUBLIC_INTERFACE(DiagonalProduct)
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inline DiagonalProduct(const MatrixType& matrix, const DiagonalType& diagonal)
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: m_matrix(matrix), m_diagonal(diagonal)
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{
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ei_assert(diagonal.diagonal().size() == (ProductOrder == OnTheLeft ? matrix.rows() : matrix.cols()));
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}
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inline Index rows() const { return m_matrix.rows(); }
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inline Index cols() const { return m_matrix.cols(); }
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const Scalar coeff(Index row, Index col) const
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{
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return m_diagonal.diagonal().coeff(ProductOrder == OnTheLeft ? row : col) * m_matrix.coeff(row, col);
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}
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template<int LoadMode>
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EIGEN_STRONG_INLINE PacketScalar packet(Index row, Index col) const
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{
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enum {
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StorageOrder = Flags & RowMajorBit ? RowMajor : ColMajor
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};
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const Index indexInDiagonalVector = ProductOrder == OnTheLeft ? row : col;
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return packet_impl<LoadMode>(row,col,indexInDiagonalVector,typename ei_meta_if<
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((int(StorageOrder) == RowMajor && int(ProductOrder) == OnTheLeft)
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||(int(StorageOrder) == ColMajor && int(ProductOrder) == OnTheRight)), ei_meta_true, ei_meta_false>::ret());
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}
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protected:
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template<int LoadMode>
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EIGEN_STRONG_INLINE PacketScalar packet_impl(Index row, Index col, Index id, ei_meta_true) const
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{
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return ei_pmul(m_matrix.template packet<LoadMode>(row, col),
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ei_pset1<PacketScalar>(m_diagonal.diagonal().coeff(id)));
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}
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template<int LoadMode>
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EIGEN_STRONG_INLINE PacketScalar packet_impl(Index row, Index col, Index id, ei_meta_false) const
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{
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enum {
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InnerSize = (MatrixType::Flags & RowMajorBit) ? MatrixType::ColsAtCompileTime : MatrixType::RowsAtCompileTime,
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DiagonalVectorPacketLoadMode = (LoadMode == Aligned && ((InnerSize%16) == 0)) ? Aligned : Unaligned
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};
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return ei_pmul(m_matrix.template packet<LoadMode>(row, col),
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m_diagonal.diagonal().template packet<DiagonalVectorPacketLoadMode>(id));
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}
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const typename MatrixType::Nested m_matrix;
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const typename DiagonalType::Nested m_diagonal;
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};
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/** \returns the diagonal matrix product of \c *this by the diagonal matrix \a diagonal.
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*/
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template<typename Derived>
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template<typename DiagonalDerived>
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inline const DiagonalProduct<Derived, DiagonalDerived, OnTheRight>
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MatrixBase<Derived>::operator*(const DiagonalBase<DiagonalDerived> &diagonal) const
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{
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return DiagonalProduct<Derived, DiagonalDerived, OnTheRight>(derived(), diagonal.derived());
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}
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/** \returns the diagonal matrix product of \c *this by the matrix \a matrix.
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*/
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template<typename DiagonalDerived>
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template<typename MatrixDerived>
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inline const DiagonalProduct<MatrixDerived, DiagonalDerived, OnTheLeft>
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DiagonalBase<DiagonalDerived>::operator*(const MatrixBase<MatrixDerived> &matrix) const
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{
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return DiagonalProduct<MatrixDerived, DiagonalDerived, OnTheLeft>(matrix.derived(), derived());
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}
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#endif // EIGEN_DIAGONALPRODUCT_H
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