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https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
Clean implementation of permutation * matrix products.
This commit is contained in:
@@ -16,25 +16,8 @@ namespace Eigen {
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namespace internal {
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template<typename PermutationType, typename MatrixType, int Side, bool Transposed>
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struct traits<permut_sparsematrix_product_retval<PermutationType, MatrixType, Side, Transposed> >
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{
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typedef typename remove_all<typename MatrixType::Nested>::type MatrixTypeNestedCleaned;
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typedef typename MatrixTypeNestedCleaned::Scalar Scalar;
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typedef typename MatrixTypeNestedCleaned::StorageIndex StorageIndex;
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enum {
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SrcStorageOrder = MatrixTypeNestedCleaned::Flags&RowMajorBit ? RowMajor : ColMajor,
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MoveOuter = SrcStorageOrder==RowMajor ? Side==OnTheLeft : Side==OnTheRight
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};
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typedef typename internal::conditional<MoveOuter,
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SparseMatrix<Scalar,SrcStorageOrder,StorageIndex>,
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SparseMatrix<Scalar,int(SrcStorageOrder)==RowMajor?ColMajor:RowMajor,StorageIndex> >::type ReturnType;
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};
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template<typename PermutationType, typename MatrixType, int Side, bool Transposed>
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struct permut_sparsematrix_product_retval
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: public ReturnByValue<permut_sparsematrix_product_retval<PermutationType, MatrixType, Side, Transposed> >
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template<typename MatrixType, int Side, bool Transposed>
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struct permutation_matrix_product<MatrixType, Side, Transposed, SparseShape>
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{
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typedef typename remove_all<typename MatrixType::Nested>::type MatrixTypeNestedCleaned;
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typedef typename MatrixTypeNestedCleaned::Scalar Scalar;
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@@ -44,61 +27,55 @@ struct permut_sparsematrix_product_retval
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SrcStorageOrder = MatrixTypeNestedCleaned::Flags&RowMajorBit ? RowMajor : ColMajor,
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MoveOuter = SrcStorageOrder==RowMajor ? Side==OnTheLeft : Side==OnTheRight
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};
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typedef typename internal::conditional<MoveOuter,
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SparseMatrix<Scalar,SrcStorageOrder,StorageIndex>,
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SparseMatrix<Scalar,int(SrcStorageOrder)==RowMajor?ColMajor:RowMajor,StorageIndex> >::type ReturnType;
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permut_sparsematrix_product_retval(const PermutationType& perm, const MatrixType& matrix)
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: m_permutation(perm), m_matrix(matrix)
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{}
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inline int rows() const { return m_matrix.rows(); }
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inline int cols() const { return m_matrix.cols(); }
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template<typename Dest> inline void evalTo(Dest& dst) const
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template<typename Dest,typename PermutationType>
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static inline void run(Dest& dst, const PermutationType& perm, const MatrixType& mat)
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{
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if(MoveOuter)
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{
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SparseMatrix<Scalar,SrcStorageOrder,StorageIndex> tmp(m_matrix.rows(), m_matrix.cols());
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Matrix<StorageIndex,Dynamic,1> sizes(m_matrix.outerSize());
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for(Index j=0; j<m_matrix.outerSize(); ++j)
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SparseMatrix<Scalar,SrcStorageOrder,StorageIndex> tmp(mat.rows(), mat.cols());
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Matrix<StorageIndex,Dynamic,1> sizes(mat.outerSize());
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for(Index j=0; j<mat.outerSize(); ++j)
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{
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Index jp = m_permutation.indices().coeff(j);
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sizes[((Side==OnTheLeft) ^ Transposed) ? jp : j] = StorageIndex(m_matrix.innerVector(((Side==OnTheRight) ^ Transposed) ? jp : j).nonZeros());
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Index jp = perm.indices().coeff(j);
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sizes[((Side==OnTheLeft) ^ Transposed) ? jp : j] = StorageIndex(mat.innerVector(((Side==OnTheRight) ^ Transposed) ? jp : j).nonZeros());
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}
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tmp.reserve(sizes);
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for(Index j=0; j<m_matrix.outerSize(); ++j)
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for(Index j=0; j<mat.outerSize(); ++j)
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{
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Index jp = m_permutation.indices().coeff(j);
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Index jp = perm.indices().coeff(j);
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Index jsrc = ((Side==OnTheRight) ^ Transposed) ? jp : j;
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Index jdst = ((Side==OnTheLeft) ^ Transposed) ? jp : j;
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for(typename MatrixTypeNestedCleaned::InnerIterator it(m_matrix,jsrc); it; ++it)
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for(typename MatrixTypeNestedCleaned::InnerIterator it(mat,jsrc); it; ++it)
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tmp.insertByOuterInner(jdst,it.index()) = it.value();
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}
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dst = tmp;
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}
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else
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{
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SparseMatrix<Scalar,int(SrcStorageOrder)==RowMajor?ColMajor:RowMajor,StorageIndex> tmp(m_matrix.rows(), m_matrix.cols());
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SparseMatrix<Scalar,int(SrcStorageOrder)==RowMajor?ColMajor:RowMajor,StorageIndex> tmp(mat.rows(), mat.cols());
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Matrix<StorageIndex,Dynamic,1> sizes(tmp.outerSize());
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sizes.setZero();
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PermutationMatrix<Dynamic,Dynamic,StorageIndex> perm;
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PermutationMatrix<Dynamic,Dynamic,StorageIndex> perm_cpy;
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if((Side==OnTheLeft) ^ Transposed)
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perm = m_permutation;
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perm_cpy = perm;
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else
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perm = m_permutation.transpose();
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perm_cpy = perm.transpose();
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for(Index j=0; j<m_matrix.outerSize(); ++j)
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for(typename MatrixTypeNestedCleaned::InnerIterator it(m_matrix,j); it; ++it)
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sizes[perm.indices().coeff(it.index())]++;
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for(Index j=0; j<mat.outerSize(); ++j)
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for(typename MatrixTypeNestedCleaned::InnerIterator it(mat,j); it; ++it)
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sizes[perm_cpy.indices().coeff(it.index())]++;
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tmp.reserve(sizes);
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for(Index j=0; j<m_matrix.outerSize(); ++j)
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for(typename MatrixTypeNestedCleaned::InnerIterator it(m_matrix,j); it; ++it)
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tmp.insertByOuterInner(perm.indices().coeff(it.index()),j) = it.value();
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for(Index j=0; j<mat.outerSize(); ++j)
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for(typename MatrixTypeNestedCleaned::InnerIterator it(mat,j); it; ++it)
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tmp.insertByOuterInner(perm_cpy.indices().coeff(it.index()),j) = it.value();
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dst = tmp;
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}
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}
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protected:
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const PermutationType& m_permutation;
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typename MatrixType::Nested m_matrix;
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};
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}
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@@ -107,63 +84,17 @@ namespace internal {
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template <int ProductTag> struct product_promote_storage_type<Sparse, PermutationStorage, ProductTag> { typedef Sparse ret; };
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template <int ProductTag> struct product_promote_storage_type<PermutationStorage, Sparse, ProductTag> { typedef Sparse ret; };
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// TODO, the following need cleaning, this is just a copy-past of the dense case
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template<typename Lhs, typename Rhs, int ProductTag>
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struct generic_product_impl<Lhs, Rhs, PermutationShape, SparseShape, ProductTag>
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{
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template<typename Dest>
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static void evalTo(Dest& dst, const Lhs& lhs, const Rhs& rhs)
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{
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permut_sparsematrix_product_retval<Lhs, Rhs, OnTheLeft, false> pmpr(lhs, rhs);
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pmpr.evalTo(dst);
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}
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};
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template<typename Lhs, typename Rhs, int ProductTag>
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struct generic_product_impl<Lhs, Rhs, SparseShape, PermutationShape, ProductTag>
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{
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template<typename Dest>
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static void evalTo(Dest& dst, const Lhs& lhs, const Rhs& rhs)
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{
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permut_sparsematrix_product_retval<Rhs, Lhs, OnTheRight, false> pmpr(rhs, lhs);
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pmpr.evalTo(dst);
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}
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};
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template<typename Lhs, typename Rhs, int ProductTag>
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struct generic_product_impl<Transpose<Lhs>, Rhs, PermutationShape, SparseShape, ProductTag>
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{
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template<typename Dest>
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static void evalTo(Dest& dst, const Transpose<Lhs>& lhs, const Rhs& rhs)
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{
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permut_sparsematrix_product_retval<Lhs, Rhs, OnTheLeft, true> pmpr(lhs.nestedPermutation(), rhs);
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pmpr.evalTo(dst);
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}
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};
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template<typename Lhs, typename Rhs, int ProductTag>
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struct generic_product_impl<Lhs, Transpose<Rhs>, SparseShape, PermutationShape, ProductTag>
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{
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template<typename Dest>
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static void evalTo(Dest& dst, const Lhs& lhs, const Transpose<Rhs>& rhs)
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{
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permut_sparsematrix_product_retval<Rhs, Lhs, OnTheRight, true> pmpr(rhs.nestedPermutation(), lhs);
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pmpr.evalTo(dst);
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}
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};
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// TODO, the following two overloads are only needed to define the right temporary type through
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// typename traits<permut_sparsematrix_product_retval<Rhs,Lhs,OnTheRight,false> >::ReturnType
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// while it should be correctly handled by traits<Product<> >::PlainObject
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// typename traits<permutation_sparse_matrix_product<Rhs,Lhs,OnTheRight,false> >::ReturnType
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// whereas it should be correctly handled by traits<Product<> >::PlainObject
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template<typename Lhs, typename Rhs, int ProductTag>
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struct product_evaluator<Product<Lhs, Rhs, DefaultProduct>, ProductTag, PermutationShape, SparseShape, typename traits<Lhs>::Scalar, typename traits<Rhs>::Scalar>
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: public evaluator<typename traits<permut_sparsematrix_product_retval<Lhs,Rhs,OnTheRight,false> >::ReturnType>::type
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: public evaluator<typename permutation_matrix_product<Rhs,OnTheRight,false,SparseShape>::ReturnType>::type
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{
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typedef Product<Lhs, Rhs, DefaultProduct> XprType;
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typedef typename traits<permut_sparsematrix_product_retval<Lhs,Rhs,OnTheRight,false> >::ReturnType PlainObject;
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typedef typename permutation_matrix_product<Rhs,OnTheRight,false,SparseShape>::ReturnType PlainObject;
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typedef typename evaluator<PlainObject>::type Base;
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explicit product_evaluator(const XprType& xpr)
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@@ -179,10 +110,10 @@ protected:
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template<typename Lhs, typename Rhs, int ProductTag>
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struct product_evaluator<Product<Lhs, Rhs, DefaultProduct>, ProductTag, SparseShape, PermutationShape, typename traits<Lhs>::Scalar, typename traits<Rhs>::Scalar>
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: public evaluator<typename traits<permut_sparsematrix_product_retval<Rhs,Lhs,OnTheRight,false> >::ReturnType>::type
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: public evaluator<typename permutation_matrix_product<Lhs,OnTheRight,false,SparseShape>::ReturnType>::type
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{
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typedef Product<Lhs, Rhs, DefaultProduct> XprType;
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typedef typename traits<permut_sparsematrix_product_retval<Rhs,Lhs,OnTheRight,false> >::ReturnType PlainObject;
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typedef typename permutation_matrix_product<Lhs,OnTheRight,false,SparseShape>::ReturnType PlainObject;
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typedef typename evaluator<PlainObject>::type Base;
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explicit product_evaluator(const XprType& xpr)
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