libtrilinos-stratimikos-dev 12.10.1-3 / usr / include / trilinos / BelosThyraAdapter.hpp

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/*! \file BelosThyraAdapter.hpp
  \brief Thyra specializations of MultiVecTraits and OperatorTraits.

  This file implements partial specializations of Belos' traits
  classes for Thyra's abstract linear algebra interface classes.  In
  particular, the file specializes Belos::MultiVecTraits for
  Thyra::MultiVectorBase, and Belos::OperatorTraits for
  Thyra::LinearOpBase.
*/

#ifndef BELOS_THYRA_ADAPTER_HPP
#define BELOS_THYRA_ADAPTER_HPP

#include "BelosConfigDefs.hpp"
#include "BelosMultiVecTraits.hpp"
#include "BelosOperatorTraits.hpp"

#include <Thyra_DetachedMultiVectorView.hpp>
#include <Thyra_MultiVectorBase.hpp>
#include <Thyra_MultiVectorStdOps.hpp>
#ifdef HAVE_BELOS_TSQR
#  include <Thyra_TsqrAdaptor.hpp>
#endif // HAVE_BELOS_TSQR

namespace Belos {

  ////////////////////////////////////////////////////////////////////////////
  //
  // Implementation of the Belos::MultiVecTraits for Thyra::MultiVectorBase
  //
  ////////////////////////////////////////////////////////////////////////////

  /// \brief Specialization of MultiVecTraits using Thyra::MultiVectorBase.
  ///
  /// This is a partial specialization of Belos::MultiVecTraits class
  /// using the Thyra::MultiVectorBase class.  It will ensure that any
  /// implementation of Thyra::MultiVectorBase will be accepted by the
  /// Belos templated solvers.
  template<class ScalarType>
  class MultiVecTraits< ScalarType, Thyra::MultiVectorBase<ScalarType> >
  {
  private:
    typedef Thyra::MultiVectorBase<ScalarType> TMVB;
    typedef Teuchos::ScalarTraits<ScalarType> ST;
    typedef typename ST::magnitudeType magType;

  public:

    /** \name Creation methods */
    //@{

    /*! \brief Creates a new empty MultiVectorBase containing \c numvecs columns.

    \return Reference-counted pointer to the new MultiVectorBase.
    */
    static Teuchos::RCP<TMVB> Clone( const TMVB& mv, const int numvecs )
    {
      Teuchos::RCP<TMVB> c = Thyra::createMembers( mv.range(), numvecs );
      return c;
    }

    /*! \brief Creates a new MultiVectorBase and copies contents of \c mv into the new std::vector (deep copy).

      \return Reference-counted pointer to the new MultiVectorBase.
    */
    static Teuchos::RCP<TMVB> CloneCopy( const TMVB& mv )
    {
      int numvecs = mv.domain()->dim();
      // create the new multivector
      Teuchos::RCP< TMVB > cc = Thyra::createMembers( mv.range(), numvecs );
      // copy the data from the source multivector to the new multivector
      Thyra::assign(cc.ptr(), mv);
      return cc;
    }

    /*! \brief Creates a new MultiVectorBase and copies the selected contents of \c mv into the new std::vector (deep copy).

      The copied vectors from \c mv are indicated by the \c indeX.size() indices in \c index.
      \return Reference-counted pointer to the new MultiVectorBase.
    */
    static Teuchos::RCP<TMVB> CloneCopy( const TMVB& mv, const std::vector<int>& index )
    {
      int numvecs = index.size();
      // create the new multivector
      Teuchos::RCP<TMVB> cc = Thyra::createMembers( mv.range(), numvecs );
      // create a view to the relevant part of the source multivector
      Teuchos::RCP<const TMVB> view = mv.subView(index);
      // copy the data from the relevant view to the new multivector
      Thyra::assign(cc.ptr(), *view);
      return cc;
    }

    static Teuchos::RCP<TMVB>
    CloneCopy (const TMVB& mv, const Teuchos::Range1D& index)
    {
      const int numVecs = index.size();
      // Create the new multivector
      Teuchos::RCP<TMVB> cc = Thyra::createMembers (mv.range(), numVecs);
      // Create a view to the relevant part of the source multivector
      Teuchos::RCP<const TMVB> view = mv.subView (index);
      // Copy the data from the view to the new multivector.
      Thyra::assign (cc.ptr(), *view);
      return cc;
    }

    /*! \brief Creates a new MultiVectorBase that shares the selected contents of \c mv (shallow copy).

    The index of the \c numvecs vectors shallow copied from \c mv are indicated by the indices given in \c index.
    \return Reference-counted pointer to the new MultiVectorBase.
    */
    static Teuchos::RCP<TMVB> CloneViewNonConst( TMVB& mv, const std::vector<int>& index )
    {
      int numvecs = index.size();

      // We do not assume that the indices are sorted, nor do we check that
      // index.size() > 0. This code is fail-safe, in the sense that a zero
      // length index std::vector will pass the error on the Thyra.

      // Thyra has two ways to create an indexed View:
      // * contiguous (via a range of columns)
      // * indexed (via a std::vector of column indices)
      // The former is significantly more efficient than the latter, in terms of
      // computations performed with/against the created view.
      // We will therefore check to see if the given indices are contiguous, and
      // if so, we will use the contiguous view creation method.

      int lb = index[0];
      bool contig = true;
      for (int i=0; i<numvecs; i++) {
        if (lb+i != index[i]) contig = false;
      }

      Teuchos::RCP< TMVB > cc;
      if (contig) {
        const Thyra::Range1D rng(lb,lb+numvecs-1);
        // create a contiguous view to the relevant part of the source multivector
        cc = mv.subView(rng);
      }
      else {
        // create an indexed view to the relevant part of the source multivector
        cc = mv.subView(index);
      }
      return cc;
    }

    static Teuchos::RCP<TMVB>
    CloneViewNonConst (TMVB& mv, const Teuchos::Range1D& index)
    {
      // We let Thyra be responsible for checking that the index range
      // is nonempty.
      //
      // Create and return a contiguous view to the relevant part of
      // the source multivector.
      return mv.subView (index);
    }


    /*! \brief Creates a new const MultiVectorBase that shares the selected contents of \c mv (shallow copy).

    The index of the \c numvecs vectors shallow copied from \c mv are indicated by the indices given in \c index.
    \return Reference-counted pointer to the new const MultiVectorBase.
    */
    static Teuchos::RCP<const TMVB> CloneView( const TMVB& mv, const std::vector<int>& index )
    {
      int numvecs = index.size();

      // We do not assume that the indices are sorted, nor do we check that
      // index.size() > 0. This code is fail-safe, in the sense that a zero
      // length index std::vector will pass the error on the Thyra.

      // Thyra has two ways to create an indexed View:
      // * contiguous (via a range of columns)
      // * indexed (via a std::vector of column indices)
      // The former is significantly more efficient than the latter, in terms of
      // computations performed with/against the created view.
      // We will therefore check to see if the given indices are contiguous, and
      // if so, we will use the contiguous view creation method.

      int lb = index[0];
      bool contig = true;
      for (int i=0; i<numvecs; i++) {
        if (lb+i != index[i]) contig = false;
      }

      Teuchos::RCP< const TMVB > cc;
      if (contig) {
        const Thyra::Range1D rng(lb,lb+numvecs-1);
        // create a contiguous view to the relevant part of the source multivector
        cc = mv.subView(rng);
      }
      else {
        // create an indexed view to the relevant part of the source multivector
        cc = mv.subView(index);
      }
      return cc;
    }

    static Teuchos::RCP<const TMVB>
    CloneView (const TMVB& mv, const Teuchos::Range1D& index)
    {
      // We let Thyra be responsible for checking that the index range
      // is nonempty.
      //
      // Create and return a contiguous view to the relevant part of
      // the source multivector.
      return mv.subView (index);
    }

    //@}

    /** \name Attribute methods */
    //@{

    //! Obtain the std::vector length of \c mv.
    static ptrdiff_t GetGlobalLength( const TMVB& mv ) {
      return Teuchos::as<ptrdiff_t>(mv.range()->dim());
    }

    //! Obtain the number of vectors in \c mv
    static int GetNumberVecs( const TMVB& mv )
    { return mv.domain()->dim(); }

    //@}

    /** \name Update methods */
    //@{

    /*! \brief Update \c mv with \f$ \alpha AB + \beta mv \f$.
     */
    static void MvTimesMatAddMv( const ScalarType alpha, const TMVB& A,
         const Teuchos::SerialDenseMatrix<int,ScalarType>& B,
         const ScalarType beta, TMVB& mv )
    {
      using Teuchos::arrayView; using Teuchos::arcpFromArrayView;
      const int m = B.numRows();
      const int n = B.numCols();
      // Create a view of the B object!
      Teuchos::RCP< const TMVB >
        B_thyra = Thyra::createMembersView(
          A.domain(),
          RTOpPack::ConstSubMultiVectorView<ScalarType>(
            0, m, 0, n,
            arcpFromArrayView(arrayView(&B(0,0), B.stride()*B.numCols())), B.stride()
            )
          );
      // perform the operation via A: mv <- alpha*A*B_thyra + beta*mv
      Thyra::apply<ScalarType>(A, Thyra::NOTRANS, *B_thyra, Teuchos::outArg(mv), alpha, beta);
    }

    /*! \brief Replace \c mv with \f$\alpha A + \beta B\f$.
     */
    static void MvAddMv( const ScalarType alpha, const TMVB& A,
                         const ScalarType beta,  const TMVB& B, TMVB& mv )
    {
      typedef Teuchos::ScalarTraits<ScalarType> ST;
      using Teuchos::tuple; using Teuchos::ptrInArg; using Teuchos::inoutArg;

      Thyra::linear_combination<ScalarType>(
        tuple(alpha, beta)(), tuple(ptrInArg(A), ptrInArg(B))(), ST::zero(), inoutArg(mv));
    }

    /*! \brief Scale each element of the vectors in \c *this with \c alpha.
     */
    static void MvScale ( TMVB& mv, const ScalarType alpha )
      { Thyra::scale(alpha, Teuchos::inoutArg(mv)); }

    /*! \brief Scale each element of the \c i-th vector in \c *this with \c alpha[i].
     */
    static void MvScale (TMVB& mv, const std::vector<ScalarType>& alpha)
    {
      for (unsigned int i=0; i<alpha.size(); i++) {
        Thyra::scale<ScalarType> (alpha[i], mv.col(i).ptr());
      }
    }

    /*! \brief Compute a dense matrix \c B through the matrix-matrix multiply \f$ \alpha A^Tmv \f$.
    */
    static void MvTransMv( const ScalarType alpha, const TMVB& A, const TMVB& mv,
      Teuchos::SerialDenseMatrix<int,ScalarType>& B )
    {
      using Teuchos::arrayView; using Teuchos::arcpFromArrayView;
      // Create a multivector to hold the result (m by n)
      int m = A.domain()->dim();
      int n = mv.domain()->dim();
      // Create a view of the B object!
      Teuchos::RCP< TMVB >
        B_thyra = Thyra::createMembersView(
          A.domain(),
          RTOpPack::SubMultiVectorView<ScalarType>(
            0, m, 0, n,
            arcpFromArrayView(arrayView(&B(0,0), B.stride()*B.numCols())), B.stride()
            )
          );
      Thyra::apply<ScalarType>(A, Thyra::CONJTRANS, mv, B_thyra.ptr(), alpha);
    }

    /*! \brief Compute a std::vector \c b where the components are the individual dot-products of the
        \c i-th columns of \c A and \c mv, i.e.\f$b[i] = A[i]^Tmv[i]\f$.
     */
    static void MvDot( const TMVB& mv, const TMVB& A, std::vector<ScalarType>& b )
      { Thyra::dots(mv, A, Teuchos::arrayViewFromVector(b)); }

    //@}

    /** \name Norm method */
    //@{

    /*! \brief Compute the 2-norm of each individual std::vector of \c mv.
      Upon return, \c normvec[i] holds the value of \f$||mv_i||_2\f$, the \c i-th column of \c mv.
    */
    static void MvNorm( const TMVB& mv, std::vector<magType>& normvec,
      NormType type = TwoNorm ) {
      if(type == TwoNorm)
        Thyra::norms_2(mv, Teuchos::arrayViewFromVector(normvec));
      else if(type == OneNorm)
        Thyra::norms_1(mv, Teuchos::arrayViewFromVector(normvec));
      else if(type == InfNorm)
        Thyra::norms_inf(mv, Teuchos::arrayViewFromVector(normvec));
      else
        TEUCHOS_TEST_FOR_EXCEPTION(true, std::invalid_argument,
                           "Belos::MultiVecTraits::MvNorm (Thyra specialization): "
                           "invalid norm type. Must be either TwoNorm, OneNorm or InfNorm");
    }

    //@}

    /** \name Initialization methods */
    //@{

    /*! \brief Copy the vectors in \c A to a set of vectors in \c mv indicated by the indices given in \c index.
     */
    static void SetBlock( const TMVB& A, const std::vector<int>& index, TMVB& mv )
    {
      // Extract the "numvecs" columns of mv indicated by the index std::vector.
      int numvecs = index.size();
      std::vector<int> indexA(numvecs);
      int numAcols = A.domain()->dim();
      for (int i=0; i<numvecs; i++) {
        indexA[i] = i;
      }
      // Thyra::assign requires that both arguments have the same number of
      // vectors. Enforce this, by shrinking one to match the other.
      if ( numAcols < numvecs ) {
        // A does not have enough columns to satisfy index_plus. Shrink
        // index_plus.
        numvecs = numAcols;
      }
      else if ( numAcols > numvecs ) {
        numAcols = numvecs;
        indexA.resize( numAcols );
      }
      // create a view to the relevant part of the source multivector
      Teuchos::RCP< const TMVB > relsource = A.subView(indexA);
      // create a view to the relevant part of the destination multivector
      Teuchos::RCP< TMVB > reldest = mv.subView(index);
      // copy the data to the destination multivector subview
      Thyra::assign(reldest.ptr(), *relsource);
    }

    static void
    SetBlock (const TMVB& A, const Teuchos::Range1D& index, TMVB& mv)
    {
      const int numColsA = A.domain()->dim();
      const int numColsMv = mv.domain()->dim();
      // 'index' indexes into mv; it's the index set of the target.
      const bool validIndex = index.lbound() >= 0 && index.ubound() < numColsMv;
      // We can't take more columns out of A than A has.
      const bool validSource = index.size() <= numColsA;

      if (! validIndex || ! validSource)
        {
          std::ostringstream os;
          os << "Belos::MultiVecTraits<Scalar, Thyra::MultiVectorBase<Scalar> "
            ">::SetBlock(A, [" << index.lbound() << ", " << index.ubound()
             << "], mv): ";
          TEUCHOS_TEST_FOR_EXCEPTION(index.lbound() < 0, std::invalid_argument,
                             os.str() << "Range lower bound must be nonnegative.");
          TEUCHOS_TEST_FOR_EXCEPTION(index.ubound() >= numColsMv, std::invalid_argument,
                             os.str() << "Range upper bound must be less than "
                             "the number of columns " << numColsA << " in the "
                             "'mv' output argument.");
          TEUCHOS_TEST_FOR_EXCEPTION(index.size() > numColsA, std::invalid_argument,
                             os.str() << "Range must have no more elements than"
                             " the number of columns " << numColsA << " in the "
                             "'A' input argument.");
          TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "Should never get here!");
        }

      // View of the relevant column(s) of the target multivector mv.
      // We avoid view creation overhead by only creating a view if
      // the index range is different than [0, (# columns in mv) - 1].
      Teuchos::RCP<TMVB> mv_view;
      if (index.lbound() == 0 && index.ubound()+1 == numColsMv)
        mv_view = Teuchos::rcpFromRef (mv); // Non-const, non-owning RCP
      else
        mv_view = mv.subView (index);

      // View of the relevant column(s) of the source multivector A.
      // If A has fewer columns than mv_view, then create a view of
      // the first index.size() columns of A.
      Teuchos::RCP<const TMVB> A_view;
      if (index.size() == numColsA)
        A_view = Teuchos::rcpFromRef (A); // Const, non-owning RCP
      else
        A_view = A.subView (Teuchos::Range1D(0, index.size()-1));

      // Copy the data to the destination multivector.
      Thyra::assign(mv_view.ptr(), *A_view);
    }

    static void
    Assign (const TMVB& A, TMVB& mv)
    {
      const int numColsA = A.domain()->dim();
      const int numColsMv = mv.domain()->dim();
      if (numColsA > numColsMv)
        {
          std::ostringstream os;
          os << "Belos::MultiVecTraits<Scalar, Thyra::MultiVectorBase<Scalar>"
            " >::Assign(A, mv): ";
          TEUCHOS_TEST_FOR_EXCEPTION(numColsA > numColsMv, std::invalid_argument,
                             os.str() << "Input multivector 'A' has "
                             << numColsA << " columns, but output multivector "
                             "'mv' has only " << numColsMv << " columns.");
          TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "Should never get here!");
        }
      // Copy the data to the destination multivector.
      if (numColsA == numColsMv) {
        Thyra::assign (Teuchos::outArg (mv), A);
      } else {
        Teuchos::RCP<TMVB> mv_view =
          CloneViewNonConst (mv, Teuchos::Range1D(0, numColsA-1));
        Thyra::assign (mv_view.ptr(), A);
      }
    }

    /*! \brief Replace the vectors in \c mv with random vectors.
     */
    static void MvRandom( TMVB& mv )
    {
      // Thyra::randomize generates via a uniform distribution on [l,u]
      // We will use this to generate on [-1,1]
      Thyra::randomize<ScalarType>(
        -Teuchos::ScalarTraits<ScalarType>::one(),
        Teuchos::ScalarTraits<ScalarType>::one(),
        Teuchos::outArg(mv));
    }

    //! Replace each element of the vectors in \c mv with \c alpha.
    static void
    MvInit (TMVB& mv, ScalarType alpha = Teuchos::ScalarTraits<ScalarType>::zero())
    {
      Thyra::assign (Teuchos::outArg (mv), alpha);
    }

    //@}

    /** \name Print method */
    //@{

    /*! \brief Print the \c mv multi-std::vector to the \c os output stream.
     */
    static void MvPrint( const TMVB& mv, std::ostream& os )
      { os << describe(mv,Teuchos::VERB_EXTREME); }

    //@}

#ifdef HAVE_BELOS_TSQR
    /// \typedef tsqr_adaptor_type
    /// \brief TsqrAdaptor specialization for Epetra_MultiVector
    ///
    /// \warning This is a STUB for now; it doesn't work.
    ///
    typedef Thyra::TsqrAdaptor< ScalarType > tsqr_adaptor_type;
#endif // HAVE_BELOS_TSQR
  };

  /////////////////////////////////////////////////////////////////////////
  //
  // Implementation of the Belos::OperatorTraits for Thyra::LinearOpBase
  //
  /////////////////////////////////////////////////////////////////////////

  /// \brief Specialization of OperatorTraits for Thyra objects.
  ///
  /// This is a partial specialization of the Belos::OperatorTraits
  /// traits class with Thyra::LinearOpBase as the operator type, and
  /// Thyra::MultiVectorBase class as the multivector type.  This
  /// interface will ensure that any LinearOpBase and MultiVectorBase
  /// implementations will be accepted by the Belos templated solvers.
  template<class ScalarType>
  class OperatorTraits <ScalarType,
                        Thyra::MultiVectorBase<ScalarType>,
                        Thyra::LinearOpBase<ScalarType> >
  {
  private:
    typedef Thyra::MultiVectorBase<ScalarType> TMVB;
    typedef Thyra::LinearOpBase<ScalarType>    TLOB;

  public:
    /// \brief Apply Op to x, storing the result in y.
    ///
    /// This method takes the MultiVectorBase \c x and applies the
    /// LinearOpBase \c Op to it, resulting in the MultiVectorBase \c
    /// y.
    ///
    /// If x is not in the domain of the operator or y is not in the
    /// range of the operator, then the operator will throw a
    /// Thyra::Exceptions::IncompatibleVectorSpaces exception.
    ///
    /// We don't check here whether the operator implements the
    /// requested \c trans operation.  Call HasApplyTranspose() to
    /// check, for the cases trans=TRANS or CONJTRANS.  If the
    /// operation is not supported, the operator will throw a
    /// Thyra::Exceptions::OpNotSupported exception.
    static void
    Apply (const TLOB& Op,
           const TMVB& x,
           TMVB& y,
           ETrans trans = NOTRANS)
    {
      Thyra::EOpTransp whichOp;

      // We don't check here whether the operator implements the
      // requested operation.  Call HasApplyTranspose() to check.
      // Thyra::LinearOpBase implementations are not required to
      // implement NOTRANS.  However, Belos needs NOTRANS
      // (obviously!), so we assume that Op implements NOTRANS.
      if (trans == NOTRANS)
        whichOp = Thyra::NOTRANS;
      else if (trans == TRANS)
        whichOp = Thyra::TRANS;
      else if (trans == CONJTRANS)
        whichOp = Thyra::CONJTRANS;
      else
        TEUCHOS_TEST_FOR_EXCEPTION(true, std::invalid_argument,
                           "Belos::OperatorTraits::Apply (Thyra specialization): "
                           "'trans' argument must be neither NOTRANS=" << NOTRANS
                           << ", TRANS=" << TRANS << ", or CONJTRANS=" << CONJTRANS
                           << ", but instead has an invalid value of " << trans << ".");
      Thyra::apply<ScalarType>(Op, whichOp, x, Teuchos::outArg(y));
    }

    //! Whether the operator implements applying the transpose.
    static bool HasApplyTranspose (const TLOB& Op)
    {
      typedef Teuchos::ScalarTraits<ScalarType> STS;

      // Thyra::LinearOpBase's interface lets you check whether the
      // operator implements any of all four possible combinations of
      // conjugation and transpose.  Belos only needs transpose
      // (TRANS) if the operator is real; in that case, Apply() does
      // the same thing with trans = CONJTRANS or TRANS.  If the
      // operator is complex, Belos needs both transpose and conjugate
      // transpose (CONJTRANS) if the operator is complex.
      return Op.opSupported (Thyra::TRANS) &&
        (! STS::isComplex || Op.opSupported (Thyra::CONJTRANS));
    }
  };

} // end of Belos namespace

#endif
// end of file BELOS_THYRA_ADAPTER_HPP