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cf0f82ecbe
- remove some useless stuff => let's focus on a single sparse matrix format - finalize the new RandomSetter
139 lines
5.5 KiB
C++
139 lines
5.5 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
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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_SPARSESETTER_H
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#define EIGEN_SPARSESETTER_H
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template<typename MatrixType, int AccessPattern,
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int IsSupported = ei_support_access_pattern<MatrixType,AccessPattern>::ret>
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struct ei_sparse_setter_selector;
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/** \class SparseSetter
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*
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* Goal: provides a unified API to fill/update a dense or sparse matrix.
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*
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* Usage:
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* \code
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* {
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* SparseSetter<MatrixType, RandomAccessPattern> w(m);
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* for (...) w->coeffRef(rand(),rand()) = rand();
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* }
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* \endcode
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*
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* In the above example we want to fill a matrix m (could be a SparseMatrix or whatever other matrix type)
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* in a random fashion (whence the RandomAccessPattern). Internally, if \a MatrixType supports random writes
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* then \c w behaves as a pointer to m, and m is filled directly. Otherwise, a temporary matrix supporting
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* random writes is created and \c w behaves as a pointer to this temporary object. When the object \c w
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* is deleted (at the end of the block), then the temporary object is assigned to the matrix m.
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*
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* So far we can distinghished 4 types of access pattern:
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* - FullyCoherentAccessPattern (if col major, i+j*rows must increase)
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* - InnerCoherentAccessPattern (if col major, i must increase for each column j)
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* - OuterCoherentAccessPattern (if col major, the column j is set in a random order, but j must increase)
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* - RandomAccessPattern
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*
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* See the wiki for more details.
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*
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* The template class ei_support_access_pattern is used to determine the type of the temporary object (which
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* can be a reference to \a MatrixType if \a MatrixType support \a AccessPattern)
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*
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* Currently only the RandomAccessPattern seems to work as expected.
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*
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* \todo define the API for each kind of access pattern
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* \todo allows both update and set modes (set start a new matrix)
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* \todo implement the OuterCoherentAccessPattern
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*
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*/
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template<typename MatrixType,
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int AccessPattern,
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typename WrapperType = typename ei_sparse_setter_selector<MatrixType,AccessPattern>::type>
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class SparseSetter
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{
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typedef typename ei_unref<WrapperType>::type _WrapperType;
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public:
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inline SparseSetter(MatrixType& matrix) : m_wrapper(matrix), mp_matrix(&matrix) {}
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~SparseSetter()
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{ *mp_matrix = m_wrapper; }
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inline _WrapperType* operator->() { return &m_wrapper; }
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inline _WrapperType& operator*() { return m_wrapper; }
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protected:
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WrapperType m_wrapper;
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MatrixType* mp_matrix;
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};
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template<typename MatrixType, int AccessPattern>
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struct ei_sparse_setter_selector<MatrixType, AccessPattern, AccessPatternSupported>
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{
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typedef MatrixType& type;
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};
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// forward each derived of SparseMatrixBase to the generic SparseMatrixBase specializations
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template<typename Scalar, int Flags, int AccessPattern>
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struct ei_sparse_setter_selector<SparseMatrix<Scalar,Flags>, AccessPattern, AccessPatternNotSupported>
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: public ei_sparse_setter_selector<SparseMatrixBase<SparseMatrix<Scalar,Flags> >,AccessPattern, AccessPatternNotSupported>
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{};
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template<typename Scalar, int Flags, int AccessPattern>
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struct ei_sparse_setter_selector<LinkedVectorMatrix<Scalar,Flags>, AccessPattern, AccessPatternNotSupported>
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: public ei_sparse_setter_selector<LinkedVectorMatrix<SparseMatrix<Scalar,Flags> >,AccessPattern, AccessPatternNotSupported>
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{};
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template<typename Scalar, int Flags, int AccessPattern>
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struct ei_sparse_setter_selector<HashMatrix<Scalar,Flags>, AccessPattern, AccessPatternNotSupported>
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: public ei_sparse_setter_selector<HashMatrix<SparseMatrix<Scalar,Flags> >,AccessPattern, AccessPatternNotSupported>
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{};
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// generic SparseMatrixBase specializations
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template<typename Derived>
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struct ei_sparse_setter_selector<SparseMatrixBase<Derived>, RandomAccessPattern, AccessPatternNotSupported>
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{
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typedef HashMatrix<typename Derived::Scalar, Derived::Flags> type;
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};
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template<typename Derived>
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struct ei_sparse_setter_selector<SparseMatrixBase<Derived>, OuterCoherentAccessPattern, AccessPatternNotSupported>
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{
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typedef HashMatrix<typename Derived::Scalar, Derived::Flags> type;
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};
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template<typename Derived>
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struct ei_sparse_setter_selector<SparseMatrixBase<Derived>, InnerCoherentAccessPattern, AccessPatternNotSupported>
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{
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typedef LinkedVectorMatrix<typename Derived::Scalar, Derived::Flags> type;
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};
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template<typename Derived>
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struct ei_sparse_setter_selector<SparseMatrixBase<Derived>, FullyCoherentAccessPattern, AccessPatternNotSupported>
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{
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typedef SparseMatrix<typename Derived::Scalar, Derived::Flags> type;
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};
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#endif // EIGEN_SPARSESETTER_H
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