BelosThyraAdapter.hpp

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// @HEADER
// *****************************************************************************
//         Stratimikos: Thyra-based strategies for linear solvers
//
// Copyright 2006 NTESS and the Stratimikos contributors.
// SPDX-License-Identifier: BSD-3-Clause
// *****************************************************************************
// @HEADER
 
#ifndef BELOS_THYRA_ADAPTER_HPP
#define BELOS_THYRA_ADAPTER_HPP
 
#include "Stratimikos_Config.h"
#include "BelosConfigDefs.hpp"
#include "BelosMultiVecTraits.hpp"
#include "BelosOperatorTraits.hpp"
#include "Thyra_DefaultProductMultiVector_decl.hpp"
#include "Thyra_TpetraThyraWrappers_decl.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
 
#if defined(HAVE_STRATIMIKOS_THYRATPETRAADAPTERS) && defined(HAVE_BELOS_TPETRA)
#include "BelosMultiVecTraits_Tpetra.hpp"
#include "Thyra_DefaultProductMultiVector.hpp"
#include "Thyra_DefaultProductVectorSpace.hpp"
#endif
 
#ifdef HAVE_STRATIMIKOS_BELOS_TIMERS
# include <Teuchos_TimeMonitor.hpp>
 
# define STRATIMIKOS_TIME_MONITOR(NAME) \
  Teuchos::TimeMonitor tM(*Teuchos::TimeMonitor::getNewTimer(std::string(NAME)))
 
#else
 
# define STRATIMIKOS_TIME_MONITOR(NAME)
 
#endif
 
namespace Belos {
 
  //
  // Implementation of the Belos::MultiVecTraits for Thyra::MultiVectorBase
  //
 
  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;
#if defined(HAVE_STRATIMIKOS_THYRATPETRAADAPTERS) && defined(HAVE_BELOS_TPETRA)
    using TpMap = Tpetra::Map<Tpetra::MultiVector<>::local_ordinal_type,
                              Tpetra::MultiVector<>::global_ordinal_type,
                              Tpetra::MultiVector<>::node_type>;
    using TpMV = Tpetra::MultiVector<ScalarType, Tpetra::MultiVector<>::local_ordinal_type,
                                     Tpetra::MultiVector<>::global_ordinal_type,
                                     Tpetra::MultiVector<>::node_type>;
    using Extraction = Thyra::TpetraOperatorVectorExtraction<ScalarType,
                                                             Tpetra::MultiVector<>::local_ordinal_type,
                                                             Tpetra::MultiVector<>::global_ordinal_type,
                                                             Tpetra::MultiVector<>::node_type>;
 
    private:
    static Teuchos::RCP<TMVB> BuildProductMultiVectorMaybe(Teuchos::RCP<const TMVB> &mv_rcp, const int numvecs) {
      auto pmv_rcp = Teuchos::rcp_dynamic_cast<const Thyra::DefaultProductMultiVector<ScalarType>>(mv_rcp);
      if (!pmv_rcp.is_null()) {
        auto ps = Teuchos::rcp_dynamic_cast<const Thyra::DefaultProductVectorSpace<ScalarType>>(pmv_rcp->range());
        const int numBlocks = ps->numBlocks();
        Teuchos::Array<Teuchos::RCP<Thyra::MultiVectorBase<ScalarType>>> multiVecs;
        for (int k = 0; k < numBlocks; ++k) {
          auto vs = ps->getBlock(k);
          Teuchos::RCP<const TpMap> map = Extraction::getTpetraMap(vs);
          if (map.is_null())
            break;
          auto tp_mv = impl::getMultiVectorFromPool<ScalarType>(map, numvecs);
          auto thy_mv = createMultiVector(tp_mv, vs);
          multiVecs.push_back(thy_mv);
        }
        if (multiVecs.size() == numBlocks)
          return Thyra::defaultProductMultiVector<ScalarType>(ps, multiVecs);
      }
      return Teuchos::null;
    }
#endif
 
  public:
 
 
    static Teuchos::RCP<TMVB> Clone( const TMVB& mv, const int numvecs )
    {
      Teuchos::RCP<TMVB> c;
#if defined(HAVE_STRATIMIKOS_THYRATPETRAADAPTERS) && defined(HAVE_BELOS_TPETRA)
      auto mv_rcp = Teuchos::rcpFromRef(mv);
      try {
        Teuchos::RCP<const TpMV> X = Extraction::getConstTpetraMultiVector(mv_rcp);
        auto X_copy = ::Belos::MultiVecTraits<ScalarType, TpMV>::Clone(*X, numvecs);
        c = Thyra::createMultiVector(X_copy);
      } catch (std::logic_error&)
#endif
      {
#if defined(HAVE_STRATIMIKOS_THYRATPETRAADAPTERS) && defined(HAVE_BELOS_TPETRA)
        c = BuildProductMultiVectorMaybe(mv_rcp, numvecs);
        if (c.is_null())
#endif
        {
          c = Thyra::createMembers(mv.range(), numvecs);
        }
      }
      return c;
    }
 
    static Teuchos::RCP<TMVB> CloneCopy( const TMVB& mv )
    {
      Teuchos::RCP< TMVB > cc;
#if defined(HAVE_STRATIMIKOS_THYRATPETRAADAPTERS) && defined(HAVE_BELOS_TPETRA)
      auto mv_rcp = Teuchos::rcpFromRef(mv);
      try {
        Teuchos::RCP<const TpMV> X = Extraction::getConstTpetraMultiVector(mv_rcp);
        auto X_copy = ::Belos::MultiVecTraits<ScalarType, TpMV>::CloneCopy(*X);
        cc = Thyra::createMultiVector(X_copy);
      } catch (std::logic_error&)
#endif
      {
        int numvecs = mv.domain()->dim();
        // create the new multivector
#if defined(HAVE_STRATIMIKOS_THYRATPETRAADAPTERS) && defined(HAVE_BELOS_TPETRA)
        cc = BuildProductMultiVectorMaybe(mv_rcp, numvecs);
        if (cc.is_null())
#endif
        {
          cc = Thyra::createMembers(mv.range(), numvecs);
        }
        // copy the data from the source multivector to the new multivector
        Thyra::assign(cc.ptr(), mv);
      }
      return cc;
    }
 
    static Teuchos::RCP<TMVB> CloneCopy( const TMVB& mv, const std::vector<int>& index )
    {
      Teuchos::RCP<TMVB> cc;
#if defined(HAVE_STRATIMIKOS_THYRATPETRAADAPTERS) && defined(HAVE_BELOS_TPETRA)
      auto mv_rcp = Teuchos::rcpFromRef(mv);
      try {
        Teuchos::RCP<const TpMV> X = Extraction::getConstTpetraMultiVector(mv_rcp);
        auto X_copy = ::Belos::MultiVecTraits<ScalarType, TpMV>::CloneCopy(*X, index);
        cc = Thyra::createMultiVector(X_copy);
      } catch (std::logic_error&)
#endif
      {
        int numvecs = index.size();
        // create the new multivector
#if defined(HAVE_STRATIMIKOS_THYRATPETRAADAPTERS) && defined(HAVE_BELOS_TPETRA)
        cc = BuildProductMultiVectorMaybe(mv_rcp, numvecs);
        if (cc.is_null())
#endif
        {
          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)
    {
      Teuchos::RCP<TMVB> cc;
#if defined(HAVE_STRATIMIKOS_THYRATPETRAADAPTERS) && defined(HAVE_BELOS_TPETRA)
      auto mv_rcp = Teuchos::rcpFromRef(mv);
      try {
        Teuchos::RCP<const TpMV> X = Extraction::getConstTpetraMultiVector(mv_rcp);
        auto X_copy = ::Belos::MultiVecTraits<ScalarType, TpMV>::CloneCopy(*X, index);
        cc = Thyra::createMultiVector(X_copy);
      } catch (std::logic_error&)
#endif
      {
        const int numVecs = index.size();
        // Create the new multivector
#if defined(HAVE_STRATIMIKOS_THYRATPETRAADAPTERS) && defined(HAVE_BELOS_TPETRA)
        cc = BuildProductMultiVectorMaybe(mv_rcp, numVecs);
        if (cc.is_null())
#endif
        {
          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;
    }
 
    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);
    }
 
 
    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);
    }
 
 
 
    static ptrdiff_t GetGlobalLength( const TMVB& mv ) {
      return Teuchos::as<ptrdiff_t>(mv.range()->dim());
    }
 
    static int GetNumberVecs( const TMVB& mv )
    { return mv.domain()->dim(); }
 
 
 
    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;
      STRATIMIKOS_TIME_MONITOR("Belos::MVT::MvTimesMatAddMv");
 
      const int m = B.numRows();
      const int n = B.numCols();
      // Check if B is 1-by-1, in which case we can just call MvAddMv()
      if ((m == 1) && (n == 1)) {
        using Teuchos::tuple; using Teuchos::ptrInArg; using Teuchos::inoutArg;
        const ScalarType alphaNew = alpha * B(0, 0);
        Thyra::linear_combination<ScalarType>(tuple(alphaNew)(), tuple(ptrInArg(A))(), beta, inoutArg(mv));
      } else {
        // perform the operation via A: mv <- alpha*A*B_thyra + beta*mv
        auto vs = A.domain();
        // Create a view of the B object!
        Teuchos::RCP< const TMVB >
          B_thyra = vs->createCachedMembersView(
            RTOpPack::ConstSubMultiVectorView<ScalarType>(
              0, m, 0, n,
              arcpFromArrayView(arrayView(&B(0,0), B.stride()*B.numCols())), B.stride()
              )
            );
        Thyra::apply<ScalarType>(A, Thyra::NOTRANS, *B_thyra, Teuchos::outArg(mv), alpha, beta);
      }
    }
 
    static void MvAddMv( const ScalarType alpha, const TMVB& A,
                         const ScalarType beta,  const TMVB& B, TMVB& mv )
    {
      using Teuchos::tuple; using Teuchos::ptrInArg; using Teuchos::inoutArg;
      STRATIMIKOS_TIME_MONITOR("Belos::MVT::MvAddMv");
 
      Thyra::linear_combination<ScalarType>(
        tuple(alpha, beta)(), tuple(ptrInArg(A), ptrInArg(B))(), Teuchos::ScalarTraits<ScalarType>::zero(), inoutArg(mv));
    }
 
    static void MvScale ( TMVB& mv, const ScalarType alpha )
      {
        STRATIMIKOS_TIME_MONITOR("Belos::MVT::MvScale");
 
        Thyra::scale(alpha, Teuchos::inoutArg(mv));
      }
 
    static void MvScale (TMVB& mv, const std::vector<ScalarType>& alpha)
    {
      STRATIMIKOS_TIME_MONITOR("Belos::MVT::MvScale");
 
      for (unsigned int i=0; i<alpha.size(); i++) {
        Thyra::scale<ScalarType> (alpha[i], mv.col(i).ptr());
      }
    }
 
    static void MvTransMv( const ScalarType alpha, const TMVB& A, const TMVB& mv,
      Teuchos::SerialDenseMatrix<int,ScalarType>& B )
    {
      using Teuchos::arrayView; using Teuchos::arcpFromArrayView;
      STRATIMIKOS_TIME_MONITOR("Belos::MVT::MvTransMv");
 
      // Create a multivector to hold the result (m by n)
      int m = A.domain()->dim();
      int n = mv.domain()->dim();
      auto vs = A.domain();
      // Create a view of the B object!
      Teuchos::RCP< TMVB >
        B_thyra = vs->createCachedMembersView(
          RTOpPack::SubMultiVectorView<ScalarType>(
            0, m, 0, n,
            arcpFromArrayView(arrayView(&B(0,0), B.stride()*B.numCols())), B.stride()
            ),
          false
          );
      Thyra::apply<ScalarType>(A, Thyra::CONJTRANS, mv, B_thyra.ptr(), alpha);
    }
 
    static void MvDot( const TMVB& mv, const TMVB& A, std::vector<ScalarType>& b )
      {
        STRATIMIKOS_TIME_MONITOR("Belos::MVT::MvDot");
 
        Thyra::dots(mv, A, Teuchos::arrayViewFromVector(b));
      }
 
 
 
    static void MvNorm( const TMVB& mv, std::vector<magType>& normvec,
      NormType type = TwoNorm ) {
      STRATIMIKOS_TIME_MONITOR("Belos::MVT::MvNorm");
 
      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");
    }
 
 
 
    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)
    {
      STRATIMIKOS_TIME_MONITOR("Belos::MVT::Assign");
 
      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);
      }
    }
 
    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));
    }
 
    static void
    MvInit (TMVB& mv, ScalarType alpha = Teuchos::ScalarTraits<ScalarType>::zero())
    {
      Thyra::assign (Teuchos::outArg (mv), alpha);
    }
 
 
 
    static void MvPrint( const TMVB& mv, std::ostream& os )
      { os << describe(mv,Teuchos::VERB_EXTREME); }
 
 
#ifdef HAVE_BELOS_TSQR
    typedef Thyra::TsqrAdaptor< ScalarType > tsqr_adaptor_type;
#endif // HAVE_BELOS_TSQR
  };
 
  //
  // Implementation of the Belos::OperatorTraits for Thyra::LinearOpBase
  //
 
  template<class ScalarType>
  class OperatorTraits <ScalarType,
                        Thyra::MultiVectorBase<ScalarType>,
                        Thyra::LinearOpBase<ScalarType> >
  {
  private:
    typedef Thyra::MultiVectorBase<ScalarType> TMVB;
    typedef Thyra::LinearOpBase<ScalarType>    TLOB;
 
  public:
    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));
    }
 
    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