void DefaultStateEliminationModelEvaluator<Scalar>::evalModelImpl(
const ModelEvaluatorBase::InArgs<Scalar> &inArgs,
const ModelEvaluatorBase::OutArgs<Scalar> &outArgs
) const
{
typedef ModelEvaluatorBase MEB;
using Teuchos::RCP;
using Teuchos::rcp;
using Teuchos::rcp_const_cast;
using Teuchos::rcp_dynamic_cast;
using Teuchos::OSTab;
Teuchos::Time totalTimer(""), timer("");
totalTimer.start(true);
const Teuchos::RCP<Teuchos::FancyOStream> out = this->getOStream();
const Teuchos::EVerbosityLevel verbLevel = this->getVerbLevel();
Teuchos::OSTab tab(out);
if(out.get() && static_cast<int>(verbLevel) >= static_cast<int>(Teuchos::VERB_LOW))
*out << "\nEntering Thyra::DefaultStateEliminationModelEvaluator<Scalar>::evalModel(...) ...\n";
const Teuchos::RCP<const ModelEvaluator<Scalar> >
thyraModel = this->getUnderlyingModel();
const int Np = outArgs.Np(), Ng = outArgs.Ng();
// Get the intial state guess if not already gotten
if (is_null(x_guess_solu_)) {
const ModelEvaluatorBase::InArgs<Scalar>
nominalValues = thyraModel->getNominalValues();
if(nominalValues.get_x().get()) {
x_guess_solu_ = nominalValues.get_x()->clone_v();
}
else {
x_guess_solu_ = createMember(thyraModel->get_x_space());
assign(&*x_guess_solu_,Scalar(0.0));
}
}
// Reset the nominal values
MEB::InArgs<Scalar> wrappedNominalValues = thyraModel->getNominalValues();
wrappedNominalValues.setArgs(inArgs,true);
wrappedNominalValues.set_x(x_guess_solu_);
typedef Teuchos::VerboseObjectTempState<ModelEvaluatorBase> VOTSME;
//VOTSME thyraModel_outputTempState(rcp(&wrappedThyraModel,false),out,verbLevel);
typedef Teuchos::VerboseObjectTempState<NonlinearSolverBase<Scalar> > VOTSNSB;
VOTSNSB statSolver_outputTempState(
stateSolver_,out
,static_cast<int>(verbLevel) >= static_cast<int>(Teuchos::VERB_LOW) ? Teuchos::VERB_LOW : Teuchos::VERB_NONE
);
if(out.get() && static_cast<int>(verbLevel) >= static_cast<int>(Teuchos::VERB_EXTREME))
*out
<< "\ninArgs =\n" << Teuchos::describe(inArgs,verbLevel)
<< "\noutArgs on input =\n" << Teuchos::describe(outArgs,Teuchos::VERB_LOW);
if(out.get() && static_cast<int>(verbLevel) >= static_cast<int>(Teuchos::VERB_LOW))
*out << "\nSolving f(x,...) for x ...\n";
wrappedThyraModel_->setNominalValues(
rcp(new MEB::InArgs<Scalar>(wrappedNominalValues))
);
SolveStatus<Scalar> solveStatus = stateSolver_->solve(&*x_guess_solu_,NULL);
if( solveStatus.solveStatus == SOLVE_STATUS_CONVERGED ) {
if(out.get() && static_cast<int>(verbLevel) >= static_cast<int>(Teuchos::VERB_LOW))
*out << "\nComputing the output functions at the solved state solution ...\n";
MEB::InArgs<Scalar> wrappedInArgs = thyraModel->createInArgs();
MEB::OutArgs<Scalar> wrappedOutArgs = thyraModel->createOutArgs();
wrappedInArgs.setArgs(inArgs,true);
wrappedInArgs.set_x(x_guess_solu_);
wrappedOutArgs.setArgs(outArgs,true);
for( int l = 0; l < Np; ++l ) {
for( int j = 0; j < Ng; ++j ) {
if(
outArgs.supports(MEB::OUT_ARG_DgDp,j,l).none()==false
&& outArgs.get_DgDp(j,l).isEmpty()==false
)
{
// Set DfDp(l) and DgDx(j) to be computed!
//wrappedOutArgs.set_DfDp(l,...);
//wrappedOutArgs.set_DgDx(j,...);
TEST_FOR_EXCEPT(true);
}
}
}
thyraModel->evalModel(wrappedInArgs,wrappedOutArgs);
//
// Compute DgDp(j,l) using direct sensitivties
//
for( int l = 0; l < Np; ++l ) {
if(
wrappedOutArgs.supports(MEB::OUT_ARG_DfDp,l).none()==false
&& wrappedOutArgs.get_DfDp(l).isEmpty()==false
)
{
//
// Compute: D(l) = -inv(DfDx)*DfDp(l)
//
TEST_FOR_EXCEPT(true);
for( int j = 0; j < Ng; ++j ) {
if(
outArgs.supports(MEB::OUT_ARG_DgDp,j,l).none()==false
&& outArgs.get_DgDp(j,l).isEmpty()==false
)
{
//
// Compute: DgDp(j,l) = DgDp(j,l) + DgDx(j)*D
//
TEST_FOR_EXCEPT(true);
}
}
}
}
// ToDo: Add a mode to compute DgDp(l) using adjoint sensitivities?
}
else {
if(out.get() && static_cast<int>(verbLevel) >= static_cast<int>(Teuchos::VERB_LOW))
*out << "\nFailed to converge, returning NaNs ...\n";
outArgs.setFailed();
}
if(out.get() && static_cast<int>(verbLevel) >= static_cast<int>(Teuchos::VERB_EXTREME))
*out
<< "\noutArgs on output =\n" << Teuchos::describe(outArgs,verbLevel);
totalTimer.stop();
if(out.get() && static_cast<int>(verbLevel) >= static_cast<int>(Teuchos::VERB_LOW))
*out
<< "\nTotal evaluation time = "<<totalTimer.totalElapsedTime()<<" sec\n"
<< "\nLeaving Thyra::DefaultStateEliminationModelEvaluator<Scalar>::evalModel(...) ...\n";
}
void ModelEvaluatorDefaultBase<Scalar>::evalModel(
const ModelEvaluatorBase::InArgs<Scalar> &inArgs,
const ModelEvaluatorBase::OutArgs<Scalar> &outArgs
) const
{
using Teuchos::outArg;
typedef ModelEvaluatorBase MEB;
lazyInitializeDefaultBase();
const int l_Np = outArgs.Np();
const int l_Ng = outArgs.Ng();
//
// A) Assert that the inArgs and outArgs object match this class!
//
#ifdef TEUCHOS_DEBUG
assertInArgsEvalObjects(*this,inArgs);
assertOutArgsEvalObjects(*this,outArgs,&inArgs);
#endif
//
// B) Setup the OutArgs object for the underlying implementation's
// evalModelImpl(...) function
//
MEB::OutArgs<Scalar> outArgsImpl = this->createOutArgsImpl();
Array<MultiVectorAdjointPair> DgDp_temp_adjoint_copies;
{
outArgsImpl.setArgs(outArgs,true);
// DfDp(l)
if (outArgsImpl.supports(MEB::OUT_ARG_f)) {
for ( int l = 0; l < l_Np; ++l ) {
const DefaultDerivLinearOpSupport defaultLinearOpSupport =
DfDp_default_op_support_[l];
if (defaultLinearOpSupport.provideDefaultLinearOp()) {
outArgsImpl.set_DfDp( l,
getOutArgImplForDefaultLinearOpSupport(
outArgs.get_DfDp(l), defaultLinearOpSupport
)
);
}
else {
// DfDp(l) already set by outArgsImpl.setArgs(...)!
}
}
}
// DgDx_dot(j)
for ( int j = 0; j < l_Ng; ++j ) {
const DefaultDerivLinearOpSupport defaultLinearOpSupport =
DgDx_dot_default_op_support_[j];
if (defaultLinearOpSupport.provideDefaultLinearOp()) {
outArgsImpl.set_DgDx_dot( j,
getOutArgImplForDefaultLinearOpSupport(
outArgs.get_DgDx_dot(j), defaultLinearOpSupport
)
);
}
else {
// DgDx_dot(j) already set by outArgsImpl.setArgs(...)!
}
}
// DgDx(j)
for ( int j = 0; j < l_Ng; ++j ) {
const DefaultDerivLinearOpSupport defaultLinearOpSupport =
DgDx_default_op_support_[j];
if (defaultLinearOpSupport.provideDefaultLinearOp()) {
outArgsImpl.set_DgDx( j,
getOutArgImplForDefaultLinearOpSupport(
outArgs.get_DgDx(j), defaultLinearOpSupport
)
);
}
else {
// DgDx(j) already set by outArgsImpl.setArgs(...)!
}
}
// DgDp(j,l)
for ( int j = 0; j < l_Ng; ++j ) {
const Array<DefaultDerivLinearOpSupport> &DgDp_default_op_support_j =
DgDp_default_op_support_[j];
const Array<DefaultDerivMvAdjointSupport> &DgDp_default_mv_support_j =
DgDp_default_mv_support_[j];
for ( int l = 0; l < l_Np; ++l ) {
const DefaultDerivLinearOpSupport defaultLinearOpSupport =
DgDp_default_op_support_j[l];
const DefaultDerivMvAdjointSupport defaultMvAdjointSupport =
DgDp_default_mv_support_j[l];
MEB::Derivative<Scalar> DgDp_j_l;
if (!outArgs.supports(MEB::OUT_ARG_DgDp,j,l).none())
DgDp_j_l = outArgs.get_DgDp(j,l);
if (
defaultLinearOpSupport.provideDefaultLinearOp()
&& !is_null(DgDp_j_l.getLinearOp())
)
{
outArgsImpl.set_DgDp( j, l,
getOutArgImplForDefaultLinearOpSupport(
DgDp_j_l, defaultLinearOpSupport
)
);
}
else if (
defaultMvAdjointSupport.provideDefaultAdjoint()
&& !is_null(DgDp_j_l.getMultiVector())
)
{
const RCP<MultiVectorBase<Scalar> > DgDp_j_l_mv =
DgDp_j_l.getMultiVector();
if (
defaultMvAdjointSupport.mvAdjointCopyOrientation()
==
DgDp_j_l.getMultiVectorOrientation()
)
{
// The orientation of the multi-vector is different so we need to
// create a temporary copy to pass to evalModelImpl(...) and then
// copy it back again!
const RCP<MultiVectorBase<Scalar> > DgDp_j_l_mv_adj =
createMembers(DgDp_j_l_mv->domain(), DgDp_j_l_mv->range()->dim());
outArgsImpl.set_DgDp( j, l,
MEB::Derivative<Scalar>(
DgDp_j_l_mv_adj,
getOtherDerivativeMultiVectorOrientation(
defaultMvAdjointSupport.mvAdjointCopyOrientation()
)
)
);
// Remember these multi-vectors so that we can do the transpose copy
// back after the evaluation!
DgDp_temp_adjoint_copies.push_back(
MultiVectorAdjointPair(DgDp_j_l_mv, DgDp_j_l_mv_adj)
);
}
else {
// The form of the multi-vector is supported by evalModelImpl(..)
// and is already set on the outArgsImpl object.
}
}
else {
// DgDp(j,l) already set by outArgsImpl.setArgs(...)!
}
}
}
// W
{
RCP<LinearOpWithSolveBase<Scalar> > W;
if ( default_W_support_ && !is_null(W=outArgs.get_W()) ) {
const RCP<const LinearOpWithSolveFactoryBase<Scalar> >
W_factory = this->get_W_factory();
// Extract the underlying W_op object (if it exists)
RCP<const LinearOpBase<Scalar> > W_op_const;
uninitializeOp<Scalar>(*W_factory, W.ptr(), outArg(W_op_const));
RCP<LinearOpBase<Scalar> > W_op;
if (!is_null(W_op_const)) {
// Here we remove the const. This is perfectly safe since
// w.r.t. this class, we put a non-const object in there and we can
// expect to change that object after the fact. That is our
// prerogative.
W_op = Teuchos::rcp_const_cast<LinearOpBase<Scalar> >(W_op_const);
}
else {
// The W_op object has not been initialized yet so create it. The
// next time through, we should not have to do this!
W_op = this->create_W_op();
}
outArgsImpl.set_W_op(W_op);
}
}
}
//
// C) Evaluate the underlying model implementation!
//
this->evalModelImpl( inArgs, outArgsImpl );
//
// D) Post-process the output arguments
//
// Do explicit transposes for DgDp(j,l) if needed
const int numMvAdjointCopies = DgDp_temp_adjoint_copies.size();
for ( int adj_copy_i = 0; adj_copy_i < numMvAdjointCopies; ++adj_copy_i ) {
const MultiVectorAdjointPair adjPair =
DgDp_temp_adjoint_copies[adj_copy_i];
doExplicitMultiVectorAdjoint( *adjPair.mvImplAdjoint, &*adjPair.mvOuter );
}
// Update W given W_op and W_factory
{
RCP<LinearOpWithSolveBase<Scalar> > W;
if ( default_W_support_ && !is_null(W=outArgs.get_W()) ) {
const RCP<const LinearOpWithSolveFactoryBase<Scalar> >
W_factory = this->get_W_factory();
W_factory->setOStream(this->getOStream());
W_factory->setVerbLevel(this->getVerbLevel());
initializeOp<Scalar>(*W_factory, outArgsImpl.get_W_op().getConst(), W.ptr());
}
}
}