Ifpack2_SparseContainer_decl.hpp

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#ifndef IFPACK2_SPARSECONTAINER_DECL_HPP
#define IFPACK2_SPARSECONTAINER_DECL_HPP


#include "Ifpack2_Container.hpp"
#include "Ifpack2_Details_MultiVectorLocalGatherScatter.hpp"
#include "Tpetra_MultiVector.hpp"
#include "Tpetra_Map.hpp"
#include "Tpetra_RowMatrix.hpp"
#include "Tpetra_CrsMatrix.hpp"
#include "Teuchos_ParameterList.hpp"
#include "Ifpack2_ILUT_decl.hpp"
#include <vector>
#ifdef HAVE_IFPACK2_AMESOS2
#include "Ifpack2_Details_Amesos2Wrapper.hpp"
#endif

namespace Ifpack2 {

template<typename MatrixType, typename InverseType>
class SparseContainer
: public ContainerImpl<MatrixType, typename InverseType::scalar_type>
{


private:
  using matrix_type = MatrixType;
  using inverse_type = InverseType;

  using typename Container<MatrixType>::SC;
  using typename Container<MatrixType>::LO;
  using typename Container<MatrixType>::GO;
  using typename Container<MatrixType>::NO;

  using typename Container<MatrixType>::mv_type;
  using typename Container<MatrixType>::map_type;
  using typename Container<MatrixType>::vector_type;
  using typename Container<MatrixType>::import_type;

  using InverseScalar = typename InverseType::scalar_type;
  using InverseLocalOrdinal = typename InverseType::local_ordinal_type;
  using InverseGlobalOrdinal = typename InverseType::global_ordinal_type;
  using InverseNode = typename InverseType::node_type;

  using inverse_mv_type = Tpetra::MultiVector<InverseScalar, InverseLocalOrdinal, InverseGlobalOrdinal, InverseNode>;
  using InverseCrs = Tpetra::CrsMatrix<InverseScalar, InverseLocalOrdinal, InverseGlobalOrdinal, InverseNode>;
  using InverseMap = typename Tpetra::Map<InverseLocalOrdinal, InverseGlobalOrdinal, InverseNode>;

  using typename Container<MatrixType>::HostView;
  using HostViewInverse = typename inverse_mv_type::dual_view_type::t_host;

  static_assert(std::is_same<MatrixType,
                  Tpetra::RowMatrix<SC, LO, GO, NO>>::value, "Ifpack2::SparseContainer: Please use MatrixType = Tpetra::RowMatrix.");

  using typename Container<MatrixType>::row_matrix_type;

public:


  SparseContainer (const Teuchos::RCP<const row_matrix_type>& matrix,
                   const Teuchos::Array<Teuchos::Array<LO> >& partitions,
                   const Teuchos::RCP<const import_type>& importer,
                   bool pointIndexed);

  virtual ~SparseContainer();



  virtual void setParameters(const Teuchos::ParameterList& List);



  virtual void initialize();

  virtual void compute ();

  void clearBlocks ();

  virtual void
  apply (HostView X,
         HostView Y,
         int blockIndex,
         Teuchos::ETransp mode = Teuchos::NO_TRANS,
         SC alpha = Teuchos::ScalarTraits<SC>::one(),
         SC beta = Teuchos::ScalarTraits<SC>::zero()) const;

  virtual void
  weightedApply (HostView X,
                 HostView Y,
                 HostView W,
                 int blockIndex,
                 Teuchos::ETransp mode = Teuchos::NO_TRANS,
                 SC alpha = Teuchos::ScalarTraits<SC>::one(),
                 SC beta = Teuchos::ScalarTraits<SC>::zero()) const;



  virtual std::ostream& print(std::ostream& os) const;



  virtual std::string description () const;

  virtual void
  describe (Teuchos::FancyOStream &out,
            const Teuchos::EVerbosityLevel verbLevel =
            Teuchos::Describable::verbLevel_default) const;

  static std::string getName();

private:

  SparseContainer (const SparseContainer<MatrixType,InverseType>& rhs);

  void extract ();

  void
  solveBlockMV(inverse_mv_type& X,
               inverse_mv_type& Y,
               int blockIndex,
               Teuchos::ETransp mode,
               InverseScalar alpha,
               InverseScalar beta) const;

  std::vector<Teuchos::RCP<InverseCrs>> diagBlocks_;

  mutable std::vector<inverse_mv_type> invX;
  mutable std::vector<inverse_mv_type> invY;

  mutable Teuchos::Array<Teuchos::RCP<InverseType>> Inverses_;
  Teuchos::RCP<Teuchos::Comm<int>> localComm_;


  Teuchos::ParameterList List_;
};

}// namespace Ifpack2

#endif // IFPACK2_SPARSECONTAINER_HPP