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// Stratimikos: Thyra-based strategies for linear solvers
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#ifndef __Thyra_TsqrAdaptor_hpp
#define __Thyra_TsqrAdaptor_hpp
#include "BelosConfigDefs.hpp"
// BelosThyraAdapter.hpp only includes this file if HAVE_BELOS_TSQR is
// defined. Thus, it's OK to include TSQR header files here.
#include "Thyra_MultiVectorBase.hpp"
#include "Thyra_SpmdVectorSpaceBase.hpp"
#ifdef HAVE_MPI
# include "Teuchos_DefaultMpiComm.hpp"
#endif // HAVE_MPI
#include "Teuchos_DefaultSerialComm.hpp"
#include "Teuchos_ParameterListAcceptorDefaultBase.hpp"
#include <stdexcept>
namespace Thyra {
/// \class TsqrAdaptor
/// \brief Stub adaptor from Thyra::MultiVectorBase to TSQR
///
/// TSQR (Tall Skinny QR factorization) is an orthogonalization
/// kernel that is as accurate as Householder QR, yet requires only
/// \f$2 \log P\f$ messages between $P$ MPI processes, independently
/// of the number of columns in the multivector.
///
/// TSQR works independently of the particular multivector
/// implementation, and interfaces to the latter via an adaptor
/// class. This class is the adaptor class for \c MultiVectorBase.
/// It templates on the MultiVector (MV) type so that it can pick up
/// that class' typedefs. In particular, TSQR chooses its intranode
/// implementation based on the Kokkos Node type of the multivector.
///
/// \warning This is a stub adaptor that just placates the compiler
/// and does nothing. It's not hard to implement a Thyra adaptor,
/// but in order for the adaptor to be efficient, it requires
/// special cases for extracting the actual multivector
/// implementation (e.g., Epetra_MultiVector or
/// Tpetra::MultiVector) out of the Thyra wrapper.
template<class Scalar>
class TsqrAdaptor : public Teuchos::ParameterListAcceptorDefaultBase {
public:
typedef Thyra::MultiVectorBase<Scalar> MV;
typedef Scalar scalar_type;
typedef int ordinal_type; // MultiVectorBase really does use int for this
typedef Teuchos::SerialDenseMatrix<ordinal_type, scalar_type> dense_matrix_type;
typedef typename Teuchos::ScalarTraits<scalar_type>::magnitudeType magnitude_type;
/// \brief Constructor (that accepts a parameter list).
///
/// \param plist [in] List of parameters for configuring TSQR.
/// The specific parameter keys that are read depend on the TSQR
/// implementation. For details, call \c getValidParameters()
/// and examine the documentation embedded therein.
TsqrAdaptor (const Teuchos::RCP<Teuchos::ParameterList>& /* plist */)
{
throw std::logic_error ("Thyra adaptor for TSQR not implemented");
}
//! Constructor (that uses default parameters).
TsqrAdaptor ()
{
throw std::logic_error ("Thyra adaptor for TSQR not implemented");
}
Teuchos::RCP<const Teuchos::ParameterList>
getValidParameters () const
{
throw std::logic_error ("Thyra adaptor for TSQR not implemented");
}
void
setParameterList (const Teuchos::RCP<Teuchos::ParameterList>& /* plist */)
{
throw std::logic_error ("Thyra adaptor for TSQR not implemented");
}
/// \brief Compute QR factorization [Q,R] = qr(A,0).
///
/// \param A [in/out] On input: the multivector to factor.
/// Overwritten with garbage on output.
///
/// \param Q [out] On output: the (explicitly stored) Q factor in
/// the QR factorization of the (input) multivector A.
///
/// \param R [out] On output: the R factor in the QR factorization
/// of the (input) multivector A.
///
/// \param forceNonnegativeDiagonal [in] If true, then (if
/// necessary) do extra work (modifying both the Q and R
/// factors) in order to force the R factor to have a
/// nonnegative diagonal.
///
/// \warning Currently, this method only works if A and Q have the
/// same communicator and row distribution ("map," in Petra
/// terms) as those of the multivector given to this TsqrAdaptor
/// instance's constructor. Otherwise, the result of this
/// method is undefined.
void
factorExplicit (MV& /* A */,
MV& /* Q */,
dense_matrix_type& /* R */,
const bool /* forceNonnegativeDiagonal */ = false)
{
throw std::logic_error ("Thyra adaptor for TSQR not implemented");
}
/// \brief Rank-revealing decomposition
///
/// Using the R factor and explicit Q factor from
/// factorExplicit(), compute the singular value decomposition
/// (SVD) of R (\f$R = U \Sigma V^*\f$). If R is full rank (with
/// respect to the given relative tolerance tol), don't change Q
/// or R. Otherwise, compute \f$Q := Q \cdot U\f$ and \f$R :=
/// \Sigma V^*\f$ in place (the latter may be no longer upper
/// triangular).
///
/// \param Q [in/out] On input: explicit Q factor computed by
/// factorExplicit(). (Must be an orthogonal resp. unitary
/// matrix.) On output: If R is of full numerical rank with
/// respect to the tolerance tol, Q is unmodified. Otherwise, Q
/// is updated so that the first rank columns of Q are a basis
/// for the column space of A (the original matrix whose QR
/// factorization was computed by factorExplicit()). The
/// remaining columns of Q are a basis for the null space of A.
///
/// \param R [in/out] On input: ncols by ncols upper triangular
/// matrix with leading dimension ldr >= ncols. On output: if
/// input is full rank, R is unchanged on output. Otherwise, if
/// \f$R = U \Sigma V^*\f$ is the SVD of R, on output R is
/// overwritten with $\Sigma \cdot V^*$. This is also an ncols by
/// ncols matrix, but may not necessarily be upper triangular.
///
/// \param tol [in] Relative tolerance for computing the numerical
/// rank of the matrix R.
///
/// \return Rank \f$r\f$ of R: \f$ 0 \leq r \leq ncols\f$.
int
revealRank (MV& /* Q */,
dense_matrix_type& /* R */,
const magnitude_type& /* tol */)
{
throw std::logic_error ("Thyra adaptor for TSQR not implemented");
}
private:
/// \brief Attempt to get a communicator out of the given multivector.
///
/// This only works if the multivector's range (VectorSpaceBase)
/// is actually an SpmdVectorSpaceBase object, and if that
/// object's Comm is either an MpiComm (in an MPI build) or a
/// SerialComm (in either an MPI build or a no-MPI build).
///
/// If the attempt does <i>not</i> succeed, this method throws
/// std::runtime_error. If it <i>does</i> succeed, it returns the
/// (suitably wrapped) communicator.
static Teuchos::RCP<const Teuchos::Comm<int> >
getComm (const MV& X)
{
using Teuchos::RCP;
using Teuchos::rcp;
using Teuchos::rcp_dynamic_cast;
using Teuchos::rcp_implicit_cast;
typedef Thyra::VectorSpaceBase<Scalar> space_base_type;
typedef Thyra::SpmdVectorSpaceBase<Scalar> space_type;
// Thyra stores the communicator in the "vector space," but only
// if that vector space is an SpmdVectorSpaceBase.
RCP<const space_base_type> rangeBase = X.range ();
TEUCHOS_TEST_FOR_EXCEPTION(rangeBase.is_null (), std::runtime_error, "X.range() is null.");
RCP<const space_type> range = rcp_dynamic_cast<const space_type> (rangeBase);
TEUCHOS_TEST_FOR_EXCEPTION(range.is_null (), std::runtime_error, "X.range() is not an SpmdVectorSpaceBase.");
// Thyra annoyingly uses a (possibly) different template
// parameter for its Teuchos::Comm than everybody else. The
// least hackish way to work around this is to convert the Comm
// to one of two subclasses (MpiComm or SerialComm). If it's an
// MpiComm, we can extract the RCP<const OpaqueWrapper<MPI_Comm>
// > and make a new MpiComm<int> from it. If it's a SerialComm,
// just create a new SerialComm<int>. If it's neither of those,
// then I have no idea what to do. Note that MpiComm is only
// defined if HAVE_MPI is defined.
RCP<const Teuchos::Comm<Thyra::Ordinal> > thyraComm = range->getComm ();
#ifdef HAVE_MPI
RCP<const Teuchos::MpiComm<Thyra::Ordinal> > thyraMpiComm =
rcp_dynamic_cast<const Teuchos::MpiComm<Thyra::Ordinal> > (thyraComm);
if (thyraMpiComm.is_null ()) {
RCP<const Teuchos::SerialComm<Thyra::Ordinal> > thyraSerialComm =
rcp_dynamic_cast<const Teuchos::SerialComm<Thyra::Ordinal> > (thyraComm);
TEUCHOS_TEST_FOR_EXCEPTION(
thyraSerialComm.is_null (), std::runtime_error,
"Thyra's communicator is neither an MpiComm nor a SerialComm. "
"Sorry, I have no idea what to do with it in that case.");
// It's a SerialComm. Make a SerialComm of our own.
// SerialComm instances are all the same, so there's no need
// to keep the original one.
return rcp_implicit_cast<const Teuchos::Comm<int> > (rcp (new Teuchos::SerialComm<int>));
}
else { // Yippie, we have an MpiComm.
RCP<const Teuchos::OpaqueWrapper<MPI_Comm> > rawMpiComm = thyraMpiComm->getRawMpiComm ();
// NOTE (mfh 18 Jun 2013) Since the error handler is attached
// to the MPI_Comm, not to the Teuchos widget, we don't have
// to set the error handler again on the new MpiComm object.
return rcp_implicit_cast<const Teuchos::Comm<int> > (rcp (new Teuchos::MpiComm<int> (rawMpiComm)));
}
#else // NOT HAVE_MPI
// Either it's a SerialComm or I don't know what to do with it.
RCP<const Teuchos::SerialComm<Thyra::Ordinal> > thyraSerialComm =
rcp_dynamic_cast<const Teuchos::SerialComm<Thyra::Ordinal> > (thyraComm);
TEUCHOS_TEST_FOR_EXCEPTION(
thyraSerialComm.is_null (), std::runtime_error,
"Thyra's communicator is not a SerialComm, and MPI is not enabled, so "
"it can't be an MpiComm either. That means it must be some other "
"subclass of Comm, about which I don't know. "
"Sorry, I have no idea what to do with it in that case.");
// It's a SerialComm. Make a SerialComm of our own.
// SerialComm instances are all the same, so there's no need
// to keep the original one.
return rcp_implicit_cast<const Teuchos::Comm<int> > (rcp (new Teuchos::SerialComm<int>));
#endif // HAVE_MPI
}
/// \brief Finish intranode TSQR initialization.
///
/// \note It's OK to call this method more than once; it is idempotent.
void
prepareNodeTsqr (const MV& /* X */)
{
throw std::logic_error ("Thyra adaptor for TSQR not implemented");
}
/// \brief Finish internode TSQR initialization.
///
/// Input X is a valid Thyra::MultiVectorBase instance whose
/// communicator wrapper we will use to prepare TSQR. It is not
/// modified.
///
/// \note It's OK to call this method more than once; it is idempotent.
///
/// This method may fail if MV is not the right kind of
/// multivector, that is, if it does not have a communicator or if
/// we don't know how to extract a communicator from it. If it
/// fails in this way, it will throw std::runtime_error.
void
prepareDistTsqr (const MV& /* X */)
{
throw std::logic_error ("Thyra adaptor for TSQR not implemented");
}
/// \brief Finish TSQR initialization.
///
/// The intranode and internode TSQR implementations both have a
/// two-stage initialization procedure: first, setting parameters
/// (which may happen at construction), and second, getting
/// information they need from the multivector input in order to
/// finish initialization. For intranode TSQR, this may include
/// the Kokkos Node instance; for internode TSQR, this includes
/// the communicator. The second stage of initialization happens
/// in this class' computational routines; all of those routines
/// accept one or more multivector inputs, which this method can
/// use for finishing initialization. Thus, users of this class
/// never need to see the two-stage initialization.
///
/// \param X [in] Multivector object, used only to access the
/// underlying communicator object (in this case, the
/// Teuchos::Comm<int>) and (possibly) the Kokkos Node instance.
/// All multivector objects used with this adapter must have the
/// same communicator and Kokkos Node instance (if applicable).
void
prepareTsqr (const MV& /* X */)
{
throw std::logic_error ("Thyra adaptor for TSQR not implemented");
}
};
} // namespace Tpetra
#endif // __Thyra_TsqrAdaptor_hpp
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