Ifpack2_Relaxation_decl.hpp

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#ifndef IFPACK2_RELAXATION_DECL_HPP
#define IFPACK2_RELAXATION_DECL_HPP

#include "Ifpack2_Preconditioner.hpp"
#include "Ifpack2_Details_CanChangeMatrix.hpp"
#include "Ifpack2_Parameters.hpp"
#include "Tpetra_Vector.hpp"
#include "Teuchos_ScalarTraits.hpp"
#include "Tpetra_CrsMatrix_decl.hpp" // Don't need the definition here
#include "Tpetra_Experimental_BlockCrsMatrix_decl.hpp"
#include <type_traits>
#include <KokkosKernels_Handle.hpp>

namespace Teuchos {
  // forward declarations
  class ParameterList;
  class Time;
} // namespace Teuchos

namespace Ifpack2 {

template<class MatrixType>
class Relaxation :
  virtual public Ifpack2::Preconditioner<typename MatrixType::scalar_type,
                                         typename MatrixType::local_ordinal_type,
                                         typename MatrixType::global_ordinal_type,
                                         typename MatrixType::node_type>,
  virtual public Ifpack2::Details::CanChangeMatrix<Tpetra::RowMatrix<typename MatrixType::scalar_type,
                                                                     typename MatrixType::local_ordinal_type,
                                                                     typename MatrixType::global_ordinal_type,
                                                                     typename MatrixType::node_type> >
{
public:


  typedef typename MatrixType::scalar_type scalar_type;

  typedef typename MatrixType::local_ordinal_type local_ordinal_type;

  typedef typename MatrixType::global_ordinal_type global_ordinal_type;

  typedef typename MatrixType::node_type node_type;

  typedef typename Teuchos::ScalarTraits<scalar_type>::magnitudeType magnitude_type;

  typedef Tpetra::RowMatrix<scalar_type, local_ordinal_type,
                            global_ordinal_type, node_type> row_matrix_type;

  static_assert(std::is_same<MatrixType, row_matrix_type>::value, "Ifpack2::Relaxation: Please use MatrixType = Tpetra::RowMatrix.  This saves build times, library sizes, and executable sizes.  Don't worry, this class still works with CrsMatrix and BlockCrsMatrix; those are both subclasses of RowMatrix.");



  explicit Relaxation (const Teuchos::RCP<const row_matrix_type>& A);

  virtual ~Relaxation();



  void setParameters (const Teuchos::ParameterList& params);

  Teuchos::RCP<const Teuchos::ParameterList>
  getValidParameters () const;

  void initialize ();

  inline bool isInitialized() const {
    return isInitialized_;
  }

  void compute ();


  inline bool isComputed() const {
    return(IsComputed_);
  }



  virtual void
  setMatrix (const Teuchos::RCP<const row_matrix_type>& A);



  void
  apply (const Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& X,
         Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& Y,
         Teuchos::ETransp mode = Teuchos::NO_TRANS,
         scalar_type alpha = Teuchos::ScalarTraits<scalar_type>::one(),
         scalar_type beta = Teuchos::ScalarTraits<scalar_type>::zero()) const;

  Teuchos::RCP<const Tpetra::Map<local_ordinal_type,global_ordinal_type,node_type> >
  getDomainMap () const;

  Teuchos::RCP<const Tpetra::Map<local_ordinal_type,global_ordinal_type,node_type> >
  getRangeMap () const;

  bool hasTransposeApply () const;

  void
  applyMat (const Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& X,
            Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& Y,
            Teuchos::ETransp mode = Teuchos::NO_TRANS) const;



  Teuchos::RCP<const Teuchos::Comm<int> > getComm() const;

  Teuchos::RCP<const row_matrix_type> getMatrix () const;

  double getComputeFlops() const;

  double getApplyFlops() const;

  int getNumInitialize() const;

  int getNumCompute() const;

  int getNumApply() const;

  double getInitializeTime() const;

  double getComputeTime() const;

  double getApplyTime() const;

  size_t getNodeSmootherComplexity() const;
    


  std::string description () const;

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

private:


  typedef Teuchos::ScalarTraits<scalar_type> STS;
  typedef Teuchos::ScalarTraits<magnitude_type> STM;

  typedef Tpetra::CrsMatrix<scalar_type, local_ordinal_type,
                            global_ordinal_type, node_type> crs_matrix_type;
  typedef Tpetra::Experimental::BlockCrsMatrix<scalar_type, local_ordinal_type,
                            global_ordinal_type, node_type> block_crs_matrix_type;
  typedef Tpetra::Experimental::BlockMultiVector<scalar_type, local_ordinal_type,
                            global_ordinal_type, node_type> block_multivector_type;




  typedef typename crs_matrix_type::local_matrix_type local_matrix_type;
  typedef typename local_matrix_type::StaticCrsGraphType::row_map_type lno_row_view_t;
  typedef typename local_matrix_type::StaticCrsGraphType::entries_type lno_nonzero_view_t;
  typedef typename local_matrix_type::values_type scalar_nonzero_view_t;
  typedef typename local_matrix_type::StaticCrsGraphType::device_type TemporaryWorkSpace;
  typedef typename local_matrix_type::StaticCrsGraphType::device_type PersistentWorkSpace;
  typedef typename local_matrix_type::StaticCrsGraphType::execution_space MyExecSpace;
  typedef typename KokkosKernels::Experimental::KokkosKernelsHandle
      <typename lno_row_view_t::const_value_type, local_ordinal_type,typename scalar_nonzero_view_t::value_type,
      MyExecSpace, TemporaryWorkSpace,PersistentWorkSpace > mt_kernel_handle_type;
  Teuchos::RCP<mt_kernel_handle_type> mtKernelHandle_;



  Relaxation (const Relaxation<MatrixType>& RHS);

  Relaxation<MatrixType>& operator= (const Relaxation<MatrixType>& RHS);



  void setParametersImpl (Teuchos::ParameterList& params);

  void ApplyInverseJacobi(
        const Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& X,
              Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& Y) const;

  void ApplyInverseJacobi_BlockCrsMatrix(
        const Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& X,
              Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& Y) const;

  void ApplyInverseGS(
        const Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& X,
              Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& Y) const;

  void ApplyInverseMTGS_CrsMatrix(
          const Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& X,
                Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& Y) const;


  void ApplyInverseGS_RowMatrix(
        const Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& X,
              Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& Y) const;

  void
  ApplyInverseGS_CrsMatrix (const crs_matrix_type& A,
                            const Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& X,
                            Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& Y) const;

  void
  ApplyInverseGS_BlockCrsMatrix (const block_crs_matrix_type& A,
                            const Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& X,
                            Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& Y);

  void ApplyInverseSGS(
        const Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& X,
              Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& Y) const;

  void ApplyInverseMTSGS_CrsMatrix(
          const Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& X,
                Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& Y) const;

  void MTGaussSeidel (
      const crs_matrix_type* crsMat,
      Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& X,
      const Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& B,
      const Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& D,
      const scalar_type& dampingFactor,
      const Tpetra::ESweepDirection direction,
      const int numSweeps,
      const bool zeroInitialGuess) const;

  void ApplyInverseSGS_RowMatrix(
        const Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& X,
              Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& Y) const;

  void
  ApplyInverseSGS_CrsMatrix (const crs_matrix_type& A,
                             const Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& X,
                             Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& Y) const;

  void
  ApplyInverseSGS_BlockCrsMatrix (const block_crs_matrix_type& A,
                             const Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& X,
                             Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type>& Y);

  void computeBlockCrs ();

  void updateCachedMultiVector(const Teuchos::RCP<const Tpetra::Map<local_ordinal_type,global_ordinal_type,node_type> >& map, size_t numVecs) const;




  mutable Teuchos::RCP<const Teuchos::ParameterList> validParams_;

  Teuchos::RCP<const row_matrix_type> A_;
  Teuchos::RCP<const Tpetra::Import<local_ordinal_type,global_ordinal_type,node_type> > Importer_;
  Teuchos::RCP<Tpetra::Vector<scalar_type,local_ordinal_type,global_ordinal_type,node_type> > Diagonal_;
  mutable Teuchos::RCP<Tpetra::MultiVector<scalar_type,local_ordinal_type,global_ordinal_type,node_type> > cachedMV_;

  typedef Kokkos::View<typename block_crs_matrix_type::impl_scalar_type***,
                       typename block_crs_matrix_type::device_type> block_diag_type;
  typedef Kokkos::View<typename block_crs_matrix_type::impl_scalar_type***,
                       typename block_crs_matrix_type::device_type,
                       Kokkos::MemoryUnmanaged> unmanaged_block_diag_type;

  block_diag_type blockDiag_;

  Teuchos::RCP<block_multivector_type> yBlockColumnPointMap_;

  int NumSweeps_;
  Details::RelaxationType PrecType_;
  scalar_type DampingFactor_;
  bool IsParallel_;
  bool ZeroStartingSolution_;
  bool DoBackwardGS_;
  bool DoL1Method_;
  magnitude_type L1Eta_;
  scalar_type MinDiagonalValue_;
  bool fixTinyDiagEntries_;
  bool checkDiagEntries_;

  bool is_matrix_structurally_symmetric_;

  bool ifpack2_dump_matrix_;


  bool isInitialized_;
  bool IsComputed_;
  int NumInitialize_;
  int NumCompute_;
  mutable int NumApply_;
  double InitializeTime_;
  double ComputeTime_;
  mutable double ApplyTime_;
  double ComputeFlops_;
  mutable double ApplyFlops_;

  magnitude_type globalMinMagDiagEntryMag_;
  magnitude_type globalMaxMagDiagEntryMag_;
  size_t globalNumSmallDiagEntries_;
  size_t globalNumZeroDiagEntries_;
  size_t globalNumNegDiagEntries_;
  magnitude_type globalDiagNormDiff_;

  Kokkos::View<size_t*, typename node_type::device_type> diagOffsets_;

  bool savedDiagOffsets_;

  bool hasBlockCrsMatrix_;

  Teuchos::ArrayRCP<local_ordinal_type> localSmoothingIndices_;

}; //class Relaxation

}//namespace Ifpack2

#endif // IFPACK2_RELAXATION_DECL_HPP