bug #1358: fix compilation for sparse += sparse.selfadjointView();

This commit is contained in:
Gael Guennebaud
2016-12-14 17:53:47 +01:00
parent e67397bfa7
commit 11b492e993
4 changed files with 60 additions and 2 deletions

View File

@@ -222,14 +222,43 @@ template< typename DstXprType, typename SrcXprType, typename Functor>
struct Assignment<DstXprType, SrcXprType, Functor, SparseSelfAdjoint2Sparse>
{
typedef typename DstXprType::StorageIndex StorageIndex;
typedef internal::assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar> AssignOpType;
template<typename DestScalar,int StorageOrder>
static void run(SparseMatrix<DestScalar,StorageOrder,StorageIndex> &dst, const SrcXprType &src, const internal::assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar> &/*func*/)
static void run(SparseMatrix<DestScalar,StorageOrder,StorageIndex> &dst, const SrcXprType &src, const AssignOpType&/*func*/)
{
internal::permute_symm_to_fullsymm<SrcXprType::Mode>(src.matrix(), dst);
}
// FIXME: the handling of += and -= in sparse matrices should be cleanup so that next two overloads could be reduced to:
template<typename DestScalar,int StorageOrder,typename AssignFunc>
static void run(SparseMatrix<DestScalar,StorageOrder,StorageIndex> &dst, const SrcXprType &src, const AssignFunc& func)
{
SparseMatrix<DestScalar,StorageOrder,StorageIndex> tmp(src.rows(),src.cols());
run(tmp, src, AssignOpType());
call_assignment_no_alias_no_transpose(dst, tmp, func);
}
template<typename DestScalar,int StorageOrder>
static void run(SparseMatrix<DestScalar,StorageOrder,StorageIndex> &dst, const SrcXprType &src,
const internal::add_assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar>& /* func */)
{
SparseMatrix<DestScalar,StorageOrder,StorageIndex> tmp(src.rows(),src.cols());
run(tmp, src, AssignOpType());
dst += tmp;
}
template<typename DestScalar,int StorageOrder>
static void run(SparseMatrix<DestScalar,StorageOrder,StorageIndex> &dst, const SrcXprType &src,
const internal::sub_assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar>& /* func */)
{
SparseMatrix<DestScalar,StorageOrder,StorageIndex> tmp(src.rows(),src.cols());
run(tmp, src, AssignOpType());
dst -= tmp;
}
template<typename DestScalar>
static void run(DynamicSparseMatrix<DestScalar,ColMajor,StorageIndex>& dst, const SrcXprType &src, const internal::assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar> &/*func*/)
static void run(DynamicSparseMatrix<DestScalar,ColMajor,StorageIndex>& dst, const SrcXprType &src, const AssignOpType&/*func*/)
{
// TODO directly evaluate into dst;
SparseMatrix<DestScalar,ColMajor,StorageIndex> tmp(dst.rows(),dst.cols());