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-rw-r--r--Eigen/src/SparseCore/SparsePermutation.h117
1 files changed, 103 insertions, 14 deletions
diff --git a/Eigen/src/SparseCore/SparsePermutation.h b/Eigen/src/SparseCore/SparsePermutation.h
index b85be93f6..21411f232 100644
--- a/Eigen/src/SparseCore/SparsePermutation.h
+++ b/Eigen/src/SparseCore/SparsePermutation.h
@@ -61,7 +61,7 @@ struct permut_sparsematrix_product_retval
for(Index j=0; j<m_matrix.outerSize(); ++j)
{
Index jp = m_permutation.indices().coeff(j);
- sizes[((Side==OnTheLeft) ^ Transposed) ? jp : j] = m_matrix.innerVector(((Side==OnTheRight) ^ Transposed) ? jp : j).size();
+ sizes[((Side==OnTheLeft) ^ Transposed) ? jp : j] = m_matrix.innerVector(((Side==OnTheRight) ^ Transposed) ? jp : j).nonZeros();
}
tmp.reserve(sizes);
for(Index j=0; j<m_matrix.outerSize(); ++j)
@@ -103,44 +103,133 @@ struct permut_sparsematrix_product_retval
}
+namespace internal {
+
+template <int ProductTag> struct product_promote_storage_type<Sparse, PermutationStorage, ProductTag> { typedef Sparse ret; };
+template <int ProductTag> struct product_promote_storage_type<PermutationStorage, Sparse, ProductTag> { typedef Sparse ret; };
+
+// TODO, the following need cleaning, this is just a copy-past of the dense case
+
+template<typename Lhs, typename Rhs, int ProductTag>
+struct generic_product_impl<Lhs, Rhs, PermutationShape, SparseShape, ProductTag>
+{
+ template<typename Dest>
+ static void evalTo(Dest& dst, const Lhs& lhs, const Rhs& rhs)
+ {
+ permut_sparsematrix_product_retval<Lhs, Rhs, OnTheLeft, false> pmpr(lhs, rhs);
+ pmpr.evalTo(dst);
+ }
+};
+
+template<typename Lhs, typename Rhs, int ProductTag>
+struct generic_product_impl<Lhs, Rhs, SparseShape, PermutationShape, ProductTag>
+{
+ template<typename Dest>
+ static void evalTo(Dest& dst, const Lhs& lhs, const Rhs& rhs)
+ {
+ permut_sparsematrix_product_retval<Rhs, Lhs, OnTheRight, false> pmpr(rhs, lhs);
+ pmpr.evalTo(dst);
+ }
+};
+
+template<typename Lhs, typename Rhs, int ProductTag>
+struct generic_product_impl<Transpose<Lhs>, Rhs, PermutationShape, SparseShape, ProductTag>
+{
+ template<typename Dest>
+ static void evalTo(Dest& dst, const Transpose<Lhs>& lhs, const Rhs& rhs)
+ {
+ permut_sparsematrix_product_retval<Lhs, Rhs, OnTheLeft, true> pmpr(lhs.nestedPermutation(), rhs);
+ pmpr.evalTo(dst);
+ }
+};
+
+template<typename Lhs, typename Rhs, int ProductTag>
+struct generic_product_impl<Lhs, Transpose<Rhs>, SparseShape, PermutationShape, ProductTag>
+{
+ template<typename Dest>
+ static void evalTo(Dest& dst, const Lhs& lhs, const Transpose<Rhs>& rhs)
+ {
+ permut_sparsematrix_product_retval<Rhs, Lhs, OnTheRight, true> pmpr(rhs.nestedPermutation(), lhs);
+ pmpr.evalTo(dst);
+ }
+};
+
+// TODO, the following two overloads are only needed to define the right temporary type through
+// typename traits<permut_sparsematrix_product_retval<Rhs,Lhs,OnTheRight,false> >::ReturnType
+// while it should be correctly handled by traits<Product<> >::PlainObject
+template<typename Lhs, typename Rhs, int ProductTag>
+struct product_evaluator<Product<Lhs, Rhs, DefaultProduct>, ProductTag, PermutationShape, SparseShape, typename traits<Lhs>::Scalar, typename traits<Rhs>::Scalar>
+ : public evaluator<typename traits<permut_sparsematrix_product_retval<Lhs,Rhs,OnTheRight,false> >::ReturnType>::type
+{
+ typedef Product<Lhs, Rhs, DefaultProduct> XprType;
+ typedef typename traits<permut_sparsematrix_product_retval<Lhs,Rhs,OnTheRight,false> >::ReturnType PlainObject;
+ typedef typename evaluator<PlainObject>::type Base;
+
+ explicit product_evaluator(const XprType& xpr)
+ : m_result(xpr.rows(), xpr.cols())
+ {
+ ::new (static_cast<Base*>(this)) Base(m_result);
+ generic_product_impl<Lhs, Rhs, PermutationShape, SparseShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
+ }
+
+protected:
+ PlainObject m_result;
+};
+
+template<typename Lhs, typename Rhs, int ProductTag>
+struct product_evaluator<Product<Lhs, Rhs, DefaultProduct>, ProductTag, SparseShape, PermutationShape, typename traits<Lhs>::Scalar, typename traits<Rhs>::Scalar>
+ : public evaluator<typename traits<permut_sparsematrix_product_retval<Rhs,Lhs,OnTheRight,false> >::ReturnType>::type
+{
+ typedef Product<Lhs, Rhs, DefaultProduct> XprType;
+ typedef typename traits<permut_sparsematrix_product_retval<Rhs,Lhs,OnTheRight,false> >::ReturnType PlainObject;
+ typedef typename evaluator<PlainObject>::type Base;
+
+ explicit product_evaluator(const XprType& xpr)
+ : m_result(xpr.rows(), xpr.cols())
+ {
+ ::new (static_cast<Base*>(this)) Base(m_result);
+ generic_product_impl<Lhs, Rhs, SparseShape, PermutationShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
+ }
+
+protected:
+ PlainObject m_result;
+};
+
+} // end namespace internal
/** \returns the matrix with the permutation applied to the columns
*/
template<typename SparseDerived, typename PermDerived>
-inline const internal::permut_sparsematrix_product_retval<PermutationBase<PermDerived>, SparseDerived, OnTheRight, false>
+inline const Product<SparseDerived, PermDerived>
operator*(const SparseMatrixBase<SparseDerived>& matrix, const PermutationBase<PermDerived>& perm)
-{
- return internal::permut_sparsematrix_product_retval<PermutationBase<PermDerived>, SparseDerived, OnTheRight, false>(perm, matrix.derived());
-}
+{ return Product<SparseDerived, PermDerived>(matrix.derived(), perm.derived()); }
/** \returns the matrix with the permutation applied to the rows
*/
template<typename SparseDerived, typename PermDerived>
-inline const internal::permut_sparsematrix_product_retval<PermutationBase<PermDerived>, SparseDerived, OnTheLeft, false>
+inline const Product<PermDerived, SparseDerived>
operator*( const PermutationBase<PermDerived>& perm, const SparseMatrixBase<SparseDerived>& matrix)
-{
- return internal::permut_sparsematrix_product_retval<PermutationBase<PermDerived>, SparseDerived, OnTheLeft, false>(perm, matrix.derived());
-}
-
+{ return Product<PermDerived, SparseDerived>(perm.derived(), matrix.derived()); }
+// TODO, the following specializations should not be needed as Transpose<Permutation*> should be a PermutationBase.
/** \returns the matrix with the inverse permutation applied to the columns.
*/
template<typename SparseDerived, typename PermDerived>
-inline const internal::permut_sparsematrix_product_retval<PermutationBase<PermDerived>, SparseDerived, OnTheRight, true>
+inline const Product<SparseDerived, Transpose<PermutationBase<PermDerived> > >
operator*(const SparseMatrixBase<SparseDerived>& matrix, const Transpose<PermutationBase<PermDerived> >& tperm)
{
- return internal::permut_sparsematrix_product_retval<PermutationBase<PermDerived>, SparseDerived, OnTheRight, true>(tperm.nestedPermutation(), matrix.derived());
+ return Product<SparseDerived, Transpose<PermutationBase<PermDerived> > >(matrix.derived(), tperm);
}
/** \returns the matrix with the inverse permutation applied to the rows.
*/
template<typename SparseDerived, typename PermDerived>
-inline const internal::permut_sparsematrix_product_retval<PermutationBase<PermDerived>, SparseDerived, OnTheLeft, true>
+inline const Product<Transpose<PermutationBase<PermDerived> >, SparseDerived>
operator*(const Transpose<PermutationBase<PermDerived> >& tperm, const SparseMatrixBase<SparseDerived>& matrix)
{
- return internal::permut_sparsematrix_product_retval<PermutationBase<PermDerived>, SparseDerived, OnTheLeft, true>(tperm.nestedPermutation(), matrix.derived());
+ return Product<Transpose<PermutationBase<PermDerived> >, SparseDerived>(tperm, matrix.derived());
}
} // end namespace Eigen