SolveStatus<Scalar>
BelosLinearOpWithSolve<Scalar>::solveImpl(
const EOpTransp M_trans,
const MultiVectorBase<Scalar> &B,
const Ptr<MultiVectorBase<Scalar> > &X,
const Ptr<const SolveCriteria<Scalar> > solveCriteria
) const
{
TEUCHOS_FUNC_TIME_MONITOR("BelosLOWS");
using Teuchos::rcp;
using Teuchos::rcpFromRef;
using Teuchos::rcpFromPtr;
using Teuchos::FancyOStream;
using Teuchos::OSTab;
using Teuchos::describe;
typedef Teuchos::ScalarTraits<Scalar> ST;
typedef typename ST::magnitudeType ScalarMag;
Teuchos::Time totalTimer(""), timer("");
totalTimer.start(true);
assertSolveSupports(*this, M_trans, solveCriteria);
// 2010/08/22: rabartl: Bug 4915 ToDo: Move the above into the NIV function
// solve(...).
const int numRhs = B.domain()->dim();
const int numEquations = B.range()->dim();
const RCP<FancyOStream> out = this->getOStream();
const Teuchos::EVerbosityLevel verbLevel = this->getVerbLevel();
OSTab tab = this->getOSTab();
if (out.get() && static_cast<int>(verbLevel) > static_cast<int>(Teuchos::VERB_LOW)) {
*out << "\nStarting iterations with Belos:\n";
OSTab tab2(out);
*out << "Using forward operator = " << describe(*fwdOpSrc_->getOp(),verbLevel);
*out << "Using iterative solver = " << describe(*iterativeSolver_,verbLevel);
*out << "With #Eqns="<<numEquations<<", #RHSs="<<numRhs<<" ...\n";
}
//
// Set RHS and LHS
//
bool ret = lp_->setProblem( rcpFromPtr(X), rcpFromRef(B) );
TEST_FOR_EXCEPTION(
ret == false, CatastrophicSolveFailure
,"Error, the Belos::LinearProblem could not be set for the current solve!"
);
//
// Set the solution criteria
//
const RCP<Teuchos::ParameterList> tmpPL = Teuchos::parameterList();
SolveMeasureType solveMeasureType;
RCP<GeneralSolveCriteriaBelosStatusTest<Scalar> > generalSolveCriteriaBelosStatusTest;
if (nonnull(solveCriteria)) {
solveMeasureType = solveCriteria->solveMeasureType;
const ScalarMag requestedTol = solveCriteria->requestedTol;
if (solveMeasureType.useDefault()) {
tmpPL->set("Convergence Tolerance", defaultTol_);
}
else if (solveMeasureType(SOLVE_MEASURE_NORM_RESIDUAL, SOLVE_MEASURE_NORM_RHS)) {
if (requestedTol != SolveCriteria<Scalar>::unspecifiedTolerance()) {
tmpPL->set("Convergence Tolerance", requestedTol);
}
else {
tmpPL->set("Convergence Tolerance", defaultTol_);
}
tmpPL->set("Explicit Residual Scaling", "Norm of RHS");
}
else if (solveMeasureType(SOLVE_MEASURE_NORM_RESIDUAL, SOLVE_MEASURE_NORM_INIT_RESIDUAL)) {
if (requestedTol != SolveCriteria<Scalar>::unspecifiedTolerance()) {
tmpPL->set("Convergence Tolerance", requestedTol);
}
else {
tmpPL->set("Convergence Tolerance", defaultTol_);
}
tmpPL->set("Explicit Residual Scaling", "Norm of Initial Residual");
}
else {
// Set the most generic (and inefficient) solve criteria
generalSolveCriteriaBelosStatusTest = createGeneralSolveCriteriaBelosStatusTest(
*solveCriteria, convergenceTestFrequency_);
// Set the verbosity level (one level down)
generalSolveCriteriaBelosStatusTest->setOStream(out);
generalSolveCriteriaBelosStatusTest->setVerbLevel(incrVerbLevel(verbLevel, -1));
// Set the default convergence tolerance to always converged to allow
// the above status test to control things.
tmpPL->set("Convergence Tolerance", 1.0);
}
}
else {
// No solveCriteria was even passed in!
tmpPL->set("Convergence Tolerance", defaultTol_);
}
//
// Reset the blocksize if we adding more vectors than half the number of equations,
// orthogonalization will fail on the first iteration!
//
RCP<const Teuchos::ParameterList> solverParams = iterativeSolver_->getCurrentParameters();
const int currBlockSize = Teuchos::getParameter<int>(*solverParams, "Block Size");
bool isNumBlocks = false;
int currNumBlocks = 0;
if (Teuchos::isParameterType<int>(*solverParams, "Num Blocks")) {
currNumBlocks = Teuchos::getParameter<int>(*solverParams, "Num Blocks");
isNumBlocks = true;
}
const int newBlockSize = TEUCHOS_MIN(currBlockSize,numEquations/2);
if (nonnull(out)
&& static_cast<int>(verbLevel) > static_cast<int>(Teuchos::VERB_NONE)
&& newBlockSize != currBlockSize)
{
*out << "\nAdjusted block size = " << newBlockSize << "\n";
}
//
tmpPL->set("Block Size",newBlockSize);
//
// Set the number of Krylov blocks if we are using a GMRES solver, or a solver
// that recognizes "Num Blocks". Otherwise the solver will throw an error!
//
if (isNumBlocks) {
const int Krylov_length = (currNumBlocks*currBlockSize)/newBlockSize;
tmpPL->set("Num Blocks",Krylov_length);
if (newBlockSize != currBlockSize) {
if (out.get() && static_cast<int>(verbLevel) > static_cast<int>(Teuchos::VERB_NONE))
*out
<< "\nAdjusted max number of Krylov basis blocks = " << Krylov_length << "\n";
}
}
//
// Solve the linear system
//
Belos::ReturnType belosSolveStatus;
{
RCP<std::ostream>
outUsed =
( static_cast<int>(verbLevel) > static_cast<int>(Teuchos::VERB_NONE)
? out
: rcp(new FancyOStream(rcp(new Teuchos::oblackholestream())))
);
Teuchos::OSTab tab(outUsed,1,"BELOS");
tmpPL->set("Output Stream", outUsed);
iterativeSolver_->setParameters(tmpPL);
if (nonnull(generalSolveCriteriaBelosStatusTest)) {
iterativeSolver_->setUserConvStatusTest(generalSolveCriteriaBelosStatusTest);
}
belosSolveStatus = iterativeSolver_->solve();
}
//
// Report the solve status
//
totalTimer.stop();
SolveStatus<Scalar> solveStatus;
switch (belosSolveStatus) {
case Belos::Unconverged: {
solveStatus.solveStatus = SOLVE_STATUS_UNCONVERGED;
break;
}
case Belos::Converged: {
solveStatus.solveStatus = SOLVE_STATUS_CONVERGED;
if (nonnull(generalSolveCriteriaBelosStatusTest)) {
const ArrayView<const ScalarMag> achievedTol =
generalSolveCriteriaBelosStatusTest->achievedTol();
solveStatus.achievedTol = ST::zero();
for (Ordinal i = 0; i < achievedTol.size(); ++i) {
solveStatus.achievedTol = std::max(solveStatus.achievedTol, achievedTol[i]);
}
}
else {
solveStatus.achievedTol = tmpPL->get("Convergence Tolerance", defaultTol_);
}
break;
}
TEUCHOS_SWITCH_DEFAULT_DEBUG_ASSERT();
}
std::ostringstream ossmessage;
ossmessage
<< "The Belos solver of type \""<<iterativeSolver_->description()
<<"\" returned a solve status of \""<< toString(solveStatus.solveStatus) << "\""
<< " in " << iterativeSolver_->getNumIters() << " iterations"
<< " with total CPU time of " << totalTimer.totalElapsedTime() << " sec" ;
if (out.get() && static_cast<int>(verbLevel) >=static_cast<int>(Teuchos::VERB_LOW))
*out << "\n" << ossmessage.str() << "\n";
solveStatus.message = ossmessage.str();
if (out.get() && static_cast<int>(verbLevel) >= static_cast<int>(Teuchos::VERB_LOW))
*out << "\nTotal solve time in Belos = "<<totalTimer.totalElapsedTime()<<" sec\n";
return solveStatus;
}
SolveStatus<Scalar>
BelosLinearOpWithSolve<Scalar>::solveImpl(
const EOpTransp M_trans,
const MultiVectorBase<Scalar> &B,
const Ptr<MultiVectorBase<Scalar> > &X,
const Ptr<const SolveCriteria<Scalar> > solveCriteria
) const
{
THYRA_FUNC_TIME_MONITOR("Stratimikos: BelosLOWS");
using Teuchos::rcp;
using Teuchos::rcpFromRef;
using Teuchos::rcpFromPtr;
using Teuchos::FancyOStream;
using Teuchos::OSTab;
using Teuchos::ParameterList;
using Teuchos::parameterList;
using Teuchos::describe;
typedef Teuchos::ScalarTraits<Scalar> ST;
typedef typename ST::magnitudeType ScalarMag;
Teuchos::Time totalTimer(""), timer("");
totalTimer.start(true);
assertSolveSupports(*this, M_trans, solveCriteria);
// 2010/08/22: rabartl: Bug 4915 ToDo: Move the above into the NIV function
// solve(...).
const RCP<FancyOStream> out = this->getOStream();
const Teuchos::EVerbosityLevel verbLevel = this->getVerbLevel();
OSTab tab = this->getOSTab();
if (out.get() && static_cast<int>(verbLevel) > static_cast<int>(Teuchos::VERB_LOW)) {
*out << "\nStarting iterations with Belos:\n";
OSTab tab2(out);
*out << "Using forward operator = " << describe(*fwdOpSrc_->getOp(),verbLevel);
*out << "Using iterative solver = " << describe(*iterativeSolver_,verbLevel);
*out << "With #Eqns="<<B.range()->dim()<<", #RHSs="<<B.domain()->dim()<<" ...\n";
}
//
// Set RHS and LHS
//
bool ret = lp_->setProblem( rcpFromPtr(X), rcpFromRef(B) );
TEUCHOS_TEST_FOR_EXCEPTION(
ret == false, CatastrophicSolveFailure
,"Error, the Belos::LinearProblem could not be set for the current solve!"
);
//
// Set the solution criteria
//
// Parameter list for the current solve.
const RCP<ParameterList> tmpPL = Teuchos::parameterList();
// The solver's valid parameter list.
RCP<const ParameterList> validPL = iterativeSolver_->getValidParameters();
SolveMeasureType solveMeasureType;
RCP<GeneralSolveCriteriaBelosStatusTest<Scalar> > generalSolveCriteriaBelosStatusTest;
if (nonnull(solveCriteria)) {
solveMeasureType = solveCriteria->solveMeasureType;
const ScalarMag requestedTol = solveCriteria->requestedTol;
if (solveMeasureType.useDefault()) {
tmpPL->set("Convergence Tolerance", defaultTol_);
}
else if (solveMeasureType(SOLVE_MEASURE_NORM_RESIDUAL, SOLVE_MEASURE_NORM_RHS)) {
if (requestedTol != SolveCriteria<Scalar>::unspecifiedTolerance()) {
tmpPL->set("Convergence Tolerance", requestedTol);
}
else {
tmpPL->set("Convergence Tolerance", defaultTol_);
}
setResidualScalingType (tmpPL, validPL, "Norm of RHS");
}
else if (solveMeasureType(SOLVE_MEASURE_NORM_RESIDUAL, SOLVE_MEASURE_NORM_INIT_RESIDUAL)) {
if (requestedTol != SolveCriteria<Scalar>::unspecifiedTolerance()) {
tmpPL->set("Convergence Tolerance", requestedTol);
}
else {
tmpPL->set("Convergence Tolerance", defaultTol_);
}
setResidualScalingType (tmpPL, validPL, "Norm of Initial Residual");
}
else {
// Set the most generic (and inefficient) solve criteria
generalSolveCriteriaBelosStatusTest = createGeneralSolveCriteriaBelosStatusTest(
*solveCriteria, convergenceTestFrequency_);
// Set the verbosity level (one level down)
generalSolveCriteriaBelosStatusTest->setOStream(out);
generalSolveCriteriaBelosStatusTest->setVerbLevel(incrVerbLevel(verbLevel, -1));
// Set the default convergence tolerance to always converged to allow
// the above status test to control things.
tmpPL->set("Convergence Tolerance", 1.0);
}
// maximum iterations
if (nonnull(solveCriteria->extraParameters)) {
if (Teuchos::isParameterType<int>(*solveCriteria->extraParameters,"Maximum Iterations")) {
tmpPL->set("Maximum Iterations", Teuchos::get<int>(*solveCriteria->extraParameters,"Maximum Iterations"));
}
}
}
else {
// No solveCriteria was even passed in!
tmpPL->set("Convergence Tolerance", defaultTol_);
}
//
// Solve the linear system
//
Belos::ReturnType belosSolveStatus;
{
RCP<std::ostream>
outUsed =
( static_cast<int>(verbLevel) > static_cast<int>(Teuchos::VERB_LOW)
? out
: rcp(new FancyOStream(rcp(new Teuchos::oblackholestream())))
);
Teuchos::OSTab tab1(outUsed,1,"BELOS");
tmpPL->set("Output Stream", outUsed);
iterativeSolver_->setParameters(tmpPL);
if (nonnull(generalSolveCriteriaBelosStatusTest)) {
iterativeSolver_->setUserConvStatusTest(generalSolveCriteriaBelosStatusTest);
}
belosSolveStatus = iterativeSolver_->solve();
}
//
// Report the solve status
//
totalTimer.stop();
SolveStatus<Scalar> solveStatus;
switch (belosSolveStatus) {
case Belos::Unconverged: {
solveStatus.solveStatus = SOLVE_STATUS_UNCONVERGED;
// Set achievedTol even if the solver did not converge. This is
// helpful for things like nonlinear solvers, which might be
// able to use a partially converged result, and which would
// like to know the achieved convergence tolerance for use in
// computing bounds. It's also helpful for estimating whether a
// small increase in the maximum iteration count might be
// helpful next time.
try {
// Some solvers might not have implemented achievedTol().
// The default implementation throws std::runtime_error.
solveStatus.achievedTol = iterativeSolver_->achievedTol();
} catch (std::runtime_error&) {
// Do nothing; use the default value of achievedTol.
}
break;
}
case Belos::Converged: {
solveStatus.solveStatus = SOLVE_STATUS_CONVERGED;
if (nonnull(generalSolveCriteriaBelosStatusTest)) {
// The user set a custom status test. This means that we
// should ask the custom status test itself, rather than the
// Belos solver, what the final achieved convergence tolerance
// was.
const ArrayView<const ScalarMag> achievedTol =
generalSolveCriteriaBelosStatusTest->achievedTol();
solveStatus.achievedTol = ST::zero();
for (Ordinal i = 0; i < achievedTol.size(); ++i) {
solveStatus.achievedTol = std::max(solveStatus.achievedTol, achievedTol[i]);
}
}
else {
try {
// Some solvers might not have implemented achievedTol().
// The default implementation throws std::runtime_error.
solveStatus.achievedTol = iterativeSolver_->achievedTol();
} catch (std::runtime_error&) {
// Use the default convergence tolerance. This is a correct
// upper bound, since we did actually converge.
solveStatus.achievedTol = tmpPL->get("Convergence Tolerance", defaultTol_);
}
}
break;
}
TEUCHOS_SWITCH_DEFAULT_DEBUG_ASSERT();
}
std::ostringstream ossmessage;
ossmessage
<< "The Belos solver of type \""<<iterativeSolver_->description()
<<"\" returned a solve status of \""<< toString(solveStatus.solveStatus) << "\""
<< " in " << iterativeSolver_->getNumIters() << " iterations"
<< " with total CPU time of " << totalTimer.totalElapsedTime() << " sec" ;
if (out.get() && static_cast<int>(verbLevel) > static_cast<int>(Teuchos::VERB_NONE))
*out << "\n" << ossmessage.str() << "\n";
solveStatus.message = ossmessage.str();
// Dump the getNumIters() and the achieved convergence tolerance
// into solveStatus.extraParameters, as the "Belos/Iteration Count"
// resp. "Belos/Achieved Tolerance" parameters.
if (solveStatus.extraParameters.is_null()) {
solveStatus.extraParameters = parameterList ();
}
solveStatus.extraParameters->set ("Belos/Iteration Count",
iterativeSolver_->getNumIters());\
// package independent version of the same
solveStatus.extraParameters->set ("Iteration Count",
iterativeSolver_->getNumIters());\
// NOTE (mfh 13 Dec 2011) Though the most commonly used Belos
// solvers do implement achievedTol(), some Belos solvers currently
// do not. In the latter case, if the solver did not converge, the
// reported achievedTol() value may just be the default "invalid"
// value -1, and if the solver did converge, the reported value will
// just be the convergence tolerance (a correct upper bound).
solveStatus.extraParameters->set ("Belos/Achieved Tolerance",
solveStatus.achievedTol);
// This information is in the previous line, which is printed anytime the verbosity
// is not set to Teuchos::VERB_NONE, so I'm commenting this out for now.
// if (out.get() && static_cast<int>(verbLevel) > static_cast<int>(Teuchos::VERB_NONE))
// *out << "\nTotal solve time in Belos = "<<totalTimer.totalElapsedTime()<<" sec\n";
return solveStatus;
}
bool
LinearOpWithSolveBase<Scalar>::solveSupportsSolveMeasureTypeImpl(
EOpTransp transp, const SolveMeasureType& solveMeasureType) const
{
return (solveSupports(transp) && solveMeasureType.useDefault());
}
bool
AztecOOLinearOpWithSolve::solveSupportsSolveMeasureTypeImpl(
EOpTransp M_trans, const SolveMeasureType& solveMeasureType
) const
{
if (real_trans(M_trans)==NOTRANS) {
if (solveMeasureType.useDefault())
{
return true;
}
else if (
solveMeasureType(
SOLVE_MEASURE_NORM_RESIDUAL,
SOLVE_MEASURE_NORM_RHS
)
&&
allowInexactFwdSolve_
)
{
return true;
}
else if (
solveMeasureType(
SOLVE_MEASURE_NORM_RESIDUAL,
SOLVE_MEASURE_NORM_INIT_RESIDUAL
)
&&
allowInexactFwdSolve_
)
{
return true;
}
}
else {
// TRANS
if (aztecAdjSolver_.get()==NULL)
{
return false;
}
else if (solveMeasureType.useDefault())
{
return true;
}
else if (
solveMeasureType(
SOLVE_MEASURE_NORM_RESIDUAL,
SOLVE_MEASURE_NORM_RHS
)
&&
allowInexactFwdSolve_
)
{
return true;
}
else if (
solveMeasureType(
SOLVE_MEASURE_NORM_RESIDUAL,
SOLVE_MEASURE_NORM_INIT_RESIDUAL
)
&&
allowInexactFwdSolve_
)
{
return true;
}
}
// If you get here then we don't support the solve measure type!
return false;
}
