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authorGravatar Gael Guennebaud <g.gael@free.fr>2018-10-10 22:50:15 +0200
committerGravatar Gael Guennebaud <g.gael@free.fr>2018-10-10 22:50:15 +0200
commiteec0dfd688215701f0fba429b068ee3f5c569573 (patch)
tree67ffffc74647e2ce2314ef618dfca014e50f08dd /Eigen/src/SparseCore
parent76ceae49c18908fd82393ddf3f22b2b3daa88b3a (diff)
bug #632: add specializations for res ?= dense +/- sparse and res ?= sparse +/- dense.
They are rewritten as two compound assignment to by-pass hybrid dense-sparse iterator.
Diffstat (limited to 'Eigen/src/SparseCore')
-rw-r--r--Eigen/src/SparseCore/SparseAssign.h71
1 files changed, 69 insertions, 2 deletions
diff --git a/Eigen/src/SparseCore/SparseAssign.h b/Eigen/src/SparseCore/SparseAssign.h
index 113463258..71452e75e 100644
--- a/Eigen/src/SparseCore/SparseAssign.h
+++ b/Eigen/src/SparseCore/SparseAssign.h
@@ -134,8 +134,8 @@ struct Assignment<DstXprType, SrcXprType, Functor, Sparse2Sparse>
};
// Generic Sparse to Dense assignment
-template< typename DstXprType, typename SrcXprType, typename Functor>
-struct Assignment<DstXprType, SrcXprType, Functor, Sparse2Dense>
+template< typename DstXprType, typename SrcXprType, typename Functor, typename Weak>
+struct Assignment<DstXprType, SrcXprType, Functor, Sparse2Dense, Weak>
{
static void run(DstXprType &dst, const SrcXprType &src, const Functor &func)
{
@@ -153,6 +153,73 @@ struct Assignment<DstXprType, SrcXprType, Functor, Sparse2Dense>
}
};
+// Specialization for dense ?= dense +/- sparse and dense ?= sparse +/- dense
+template<typename DstXprType, typename Func1, typename Func2>
+struct assignment_from_dense_op_sparse
+{
+ template<typename SrcXprType, typename InitialFunc>
+ static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+ void run(DstXprType &dst, const SrcXprType &src, const InitialFunc& /*func*/)
+ {
+ #ifdef EIGEN_SPARSE_ASSIGNMENT_FROM_DENSE_OP_SPARSE_PLUGIN
+ EIGEN_SPARSE_ASSIGNMENT_FROM_DENSE_OP_SPARSE_PLUGIN
+ #endif
+
+ call_assignment_no_alias(dst, src.lhs(), Func1());
+ call_assignment_no_alias(dst, src.rhs(), Func2());
+ }
+
+ // Specialization for dense1 = sparse + dense2; -> dense1 = dense2; dense1 += sparse;
+ template<typename Lhs, typename Rhs, typename Scalar>
+ static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+ typename internal::enable_if<internal::is_same<typename internal::evaluator_traits<Rhs>::Shape,DenseShape>::value>::type
+ run(DstXprType &dst, const CwiseBinaryOp<internal::scalar_sum_op<Scalar,Scalar>, const Lhs, const Rhs> &src,
+ const internal::assign_op<typename DstXprType::Scalar,Scalar>& /*func*/)
+ {
+ #ifdef EIGEN_SPARSE_ASSIGNMENT_FROM_SPARSE_ADD_DENSE_PLUGIN
+ EIGEN_SPARSE_ASSIGNMENT_FROM_SPARSE_ADD_DENSE_PLUGIN
+ #endif
+
+ // Apply the dense matrix first, then the sparse one.
+ call_assignment_no_alias(dst, src.rhs(), Func1());
+ call_assignment_no_alias(dst, src.lhs(), Func2());
+ }
+
+ // Specialization for dense1 = sparse - dense2; -> dense1 = -dense2; dense1 += sparse;
+ template<typename Lhs, typename Rhs, typename Scalar>
+ static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+ typename internal::enable_if<internal::is_same<typename internal::evaluator_traits<Rhs>::Shape,DenseShape>::value>::type
+ run(DstXprType &dst, const CwiseBinaryOp<internal::scalar_difference_op<Scalar,Scalar>, const Lhs, const Rhs> &src,
+ const internal::assign_op<typename DstXprType::Scalar,Scalar>& /*func*/)
+ {
+ #ifdef EIGEN_SPARSE_ASSIGNMENT_FROM_SPARSE_SUB_DENSE_PLUGIN
+ EIGEN_SPARSE_ASSIGNMENT_FROM_SPARSE_SUB_DENSE_PLUGIN
+ #endif
+
+ // Apply the dense matrix first, then the sparse one.
+ call_assignment_no_alias(dst, -src.rhs(), Func1());
+ call_assignment_no_alias(dst, src.lhs(), add_assign_op<typename DstXprType::Scalar,typename Lhs::Scalar>());
+ }
+};
+
+#define EIGEN_CATCH_ASSIGN_DENSE_OP_SPARSE(ASSIGN_OP,BINOP,ASSIGN_OP2) \
+ template< typename DstXprType, typename Lhs, typename Rhs, typename Scalar> \
+ struct Assignment<DstXprType, CwiseBinaryOp<internal::BINOP<Scalar,Scalar>, const Lhs, const Rhs>, internal::ASSIGN_OP<typename DstXprType::Scalar,Scalar>, \
+ Sparse2Dense, \
+ typename internal::enable_if< internal::is_same<typename internal::evaluator_traits<Lhs>::Shape,DenseShape>::value \
+ || internal::is_same<typename internal::evaluator_traits<Rhs>::Shape,DenseShape>::value>::type> \
+ : assignment_from_dense_op_sparse<DstXprType, internal::ASSIGN_OP<typename DstXprType::Scalar,typename Lhs::Scalar>, internal::ASSIGN_OP2<typename DstXprType::Scalar,typename Rhs::Scalar> > \
+ {}
+
+EIGEN_CATCH_ASSIGN_DENSE_OP_SPARSE(assign_op, scalar_sum_op,add_assign_op);
+EIGEN_CATCH_ASSIGN_DENSE_OP_SPARSE(add_assign_op,scalar_sum_op,add_assign_op);
+EIGEN_CATCH_ASSIGN_DENSE_OP_SPARSE(sub_assign_op,scalar_sum_op,sub_assign_op);
+
+EIGEN_CATCH_ASSIGN_DENSE_OP_SPARSE(assign_op, scalar_difference_op,sub_assign_op);
+EIGEN_CATCH_ASSIGN_DENSE_OP_SPARSE(add_assign_op,scalar_difference_op,sub_assign_op);
+EIGEN_CATCH_ASSIGN_DENSE_OP_SPARSE(sub_assign_op,scalar_difference_op,add_assign_op);
+
+
// Specialization for "dst = dec.solve(rhs)"
// NOTE we need to specialize it for Sparse2Sparse to avoid ambiguous specialization error
template<typename DstXprType, typename DecType, typename RhsType, typename Scalar>