int TriKota::ThyraDirectApplicInterface::derived_map_ac(const Dakota::String& ac_name)
{
if (App != Teuchos::null) {
// Test for consistency of problem definition between ModelEval and Dakota
TEST_FOR_EXCEPTION(numVars > numParameters, std::logic_error,
"TriKota_Dakota Adapter Error: ");
TEST_FOR_EXCEPTION(numFns > numResponses, std::logic_error,
"TriKota_Dakota Adapter Error: ");
TEST_FOR_EXCEPTION(hessFlag, std::logic_error,
"TriKota_Dakota Adapter Error: ");
MEB::InArgs<double> inArgs = App->createInArgs();
MEB::OutArgs<double> outArgs = App->createOutArgs();
TEST_FOR_EXCEPTION(gradFlag && !supportsSensitivities, std::logic_error,
"TriKota_Dakota Adapter Error: ");
// Load parameters from Dakota to ModelEval data structure
{
Thyra::DetachedVectorView<double> my_p(model_p);
for (unsigned int i=0; i<numVars; i++) my_p[i]=xC[i];
}
// Evaluate model
inArgs.set_p(0,model_p);
outArgs.set_g(0,model_g);
if (gradFlag) outArgs.set_DgDp(0,0,
MEB::DerivativeMultiVector<double>(model_dgdp,orientation));
App->evalModel(inArgs, outArgs);
Thyra::DetachedVectorView<double> my_g(model_g);
for (unsigned int j=0; j<numFns; j++) fnVals[j]= my_g[j];
if (gradFlag) {
if (orientation == MEB::DERIV_MV_BY_COL) {
for (unsigned int j=0; j<numVars; j++) {
Thyra::DetachedVectorView<double>
my_dgdp_j(model_dgdp->col(j));
for (unsigned int i=0; i<numFns; i++) fnGrads[i][j]= my_dgdp_j[i];
}
}
else {
for (unsigned int j=0; j<numFns; j++) {
Thyra::DetachedVectorView<double>
my_dgdp_j(model_dgdp->col(j));
for (unsigned int i=0; i<numVars; i++) fnGrads[j][i]= my_dgdp_j[i];
}
}
}
}
else {
TEST_FOR_EXCEPTION(parallelLib.parallel_configuration().ea_parallel_level().server_intra_communicator()
!= MPI_COMM_NULL, std::logic_error,
"\nTriKota Parallelism Error: ModelEvaluator=null, but analysis_comm != MPI_COMMM_NULL");
}
return 0;
}
int main(int argc, char *argv[])
{
using std::endl;
typedef double Scalar;
typedef double ScalarMag;
using Teuchos::describe;
using Teuchos::RCP;
using Teuchos::rcp;
using Teuchos::rcp_implicit_cast;
using Teuchos::rcp_dynamic_cast;
using Teuchos::as;
using Teuchos::ParameterList;
using Teuchos::CommandLineProcessor;
typedef Teuchos::ParameterList::PrintOptions PLPrintOptions;
typedef Thyra::ModelEvaluatorBase MEB;
typedef Thyra::DefaultMultiVectorProductVectorSpace<Scalar> DMVPVS;
using Thyra::productVectorBase;
bool result, success = true;
Teuchos::GlobalMPISession mpiSession(&argc,&argv);
RCP<Epetra_Comm> epetra_comm;
#ifdef HAVE_MPI
epetra_comm = rcp( new Epetra_MpiComm(MPI_COMM_WORLD) );
#else
epetra_comm = rcp( new Epetra_SerialComm );
#endif // HAVE_MPI
RCP<Teuchos::FancyOStream>
out = Teuchos::VerboseObjectBase::getDefaultOStream();
try {
//
// Read commandline options
//
CommandLineProcessor clp;
clp.throwExceptions(false);
clp.addOutputSetupOptions(true);
std::string paramsFileName = "";
clp.setOption( "params-file", ¶msFileName,
"File name for XML parameters" );
std::string extraParamsString = "";
clp.setOption( "extra-params", &extraParamsString,
"Extra XML parameters" );
std::string extraParamsFile = "";
clp.setOption( "extra-params-file", &extraParamsFile, "File containing extra parameters in XML format.");
double maxStateError = 1e-6;
clp.setOption( "max-state-error", &maxStateError,
"The maximum allowed error in the integrated state in relation to the exact state solution" );
double finalTime = 1e-3;
clp.setOption( "final-time", &finalTime,
"Final integration time (initial time is 0.0)" );
int numTimeSteps = 10;
clp.setOption( "num-time-steps", &numTimeSteps,
"Number of (fixed) time steps. If <= 0.0, then variable time steps are taken" );
bool useBDF = false;
clp.setOption( "use-BDF", "use-BE", &useBDF,
"Use BDF or Backward Euler (BE)" );
bool useIRK = false;
clp.setOption( "use-IRK", "use-other", &useIRK,
"Use IRK or something" );
bool doFwdSensSolve = false;
clp.setOption( "fwd-sens-solve", "state-solve", &doFwdSensSolve,
"Do the forward sensitivity solve or just the state solve" );
bool doFwdSensErrorControl = false;
clp.setOption( "fwd-sens-err-cntrl", "no-fwd-sens-err-cntrl", &doFwdSensErrorControl,
"Do error control on the forward sensitivity solve or not" );
double maxRestateError = 0.0;
clp.setOption( "max-restate-error", &maxRestateError,
"The maximum allowed error between the state integrated by itself verses integrated along with DxDp" );
double maxSensError = 1e-4;
clp.setOption( "max-sens-error", &maxSensError,
"The maximum allowed error in the integrated sensitivity in relation to"
" the finite-difference sensitivity" );
Teuchos::EVerbosityLevel verbLevel = Teuchos::VERB_DEFAULT;
setVerbosityLevelOption( "verb-level", &verbLevel,
"Top-level verbosity level. By default, this gets deincremented as you go deeper into numerical objects.",
&clp );
bool testExactSensitivity = false;
clp.setOption( "test-exact-sens", "no-test-exact-sens", &testExactSensitivity,
"Test the exact sensitivity with finite differences or not." );
bool dumpFinalSolutions = false;
clp.setOption(
"dump-final-solutions", "no-dump-final-solutions", &dumpFinalSolutions,
"Determine if the final solutions are dumpped or not." );
CommandLineProcessor::EParseCommandLineReturn parse_return = clp.parse(argc,argv);
if( parse_return != CommandLineProcessor::PARSE_SUCCESSFUL ) return parse_return;
if ( Teuchos::VERB_DEFAULT == verbLevel )
verbLevel = Teuchos::VERB_LOW;
const Teuchos::EVerbosityLevel
solnVerbLevel = ( dumpFinalSolutions ? Teuchos::VERB_EXTREME : verbLevel );
//
// Get the base parameter list that all other parameter lists will be read
// from.
//
RCP<ParameterList>
paramList = Teuchos::parameterList();
if (paramsFileName.length())
updateParametersFromXmlFile( paramsFileName, paramList.ptr() );
if(extraParamsFile.length())
Teuchos::updateParametersFromXmlFile( "./"+extraParamsFile, paramList.ptr() );
if (extraParamsString.length())
updateParametersFromXmlString( extraParamsString, paramList.ptr() );
if (testExactSensitivity) {
paramList->sublist(DiagonalTransientModel_name).set("Exact Solution as Response",true);
}
paramList->validateParameters(*getValidParameters(),0); // Only validate top level lists!
//
// Create the Stratimikos linear solver factory.
//
// This is the linear solve strategy that will be used to solve for the
// linear system with the W.
//
Stratimikos::DefaultLinearSolverBuilder linearSolverBuilder;
linearSolverBuilder.setParameterList(sublist(paramList,Stratimikos_name));
RCP<Thyra::LinearOpWithSolveFactoryBase<Scalar> >
W_factory = createLinearSolveStrategy(linearSolverBuilder);
//
// Create the underlying EpetraExt::ModelEvaluator
//
RCP<EpetraExt::DiagonalTransientModel>
epetraStateModel = EpetraExt::diagonalTransientModel(
epetra_comm,
sublist(paramList,DiagonalTransientModel_name)
);
*out <<"\nepetraStateModel valid options:\n";
epetraStateModel->getValidParameters()->print(
*out, PLPrintOptions().indent(2).showTypes(true).showDoc(true)
);
//
// Create the Thyra-wrapped ModelEvaluator
//
RCP<Thyra::ModelEvaluator<double> >
stateModel = epetraModelEvaluator(epetraStateModel,W_factory);
*out << "\nParameter names = " << *stateModel->get_p_names(0) << "\n";
//
// Create the Rythmos stateStepper
//
RCP<Rythmos::TimeStepNonlinearSolver<double> >
nonlinearSolver = Rythmos::timeStepNonlinearSolver<double>();
RCP<ParameterList>
nonlinearSolverPL = sublist(paramList,TimeStepNonlinearSolver_name);
nonlinearSolverPL->get("Default Tol",1e-3*maxStateError); // Set default if not set
nonlinearSolver->setParameterList(nonlinearSolverPL);
RCP<Rythmos::StepperBase<Scalar> > stateStepper;
if (useBDF) {
stateStepper = rcp(
new Rythmos::ImplicitBDFStepper<double>(
stateModel, nonlinearSolver
)
);
}
else if (useIRK) {
// We need a separate LOWSFB object for the IRK stepper
RCP<Thyra::LinearOpWithSolveFactoryBase<Scalar> >
irk_W_factory = createLinearSolveStrategy(linearSolverBuilder);
RCP<Rythmos::RKButcherTableauBase<double> > irkbt = Rythmos::createRKBT<double>("Backward Euler");
stateStepper = Rythmos::implicitRKStepper<double>(
stateModel, nonlinearSolver, irk_W_factory, irkbt
);
}
else {
stateStepper = rcp(
new Rythmos::BackwardEulerStepper<double>(
stateModel, nonlinearSolver
)
);
}
*out <<"\nstateStepper:\n" << describe(*stateStepper,verbLevel);
*out <<"\nstateStepper valid options:\n";
stateStepper->getValidParameters()->print(
*out, PLPrintOptions().indent(2).showTypes(true).showDoc(true)
);
stateStepper->setParameterList(sublist(paramList,RythmosStepper_name));
//
// Setup finite difference objects that will be used for tests
//
Thyra::DirectionalFiniteDiffCalculator<Scalar> fdCalc;
fdCalc.setParameterList(sublist(paramList,FdCalc_name));
fdCalc.setOStream(out);
fdCalc.setVerbLevel(verbLevel);
//
// Use a StepperAsModelEvaluator to integrate the state
//
const MEB::InArgs<Scalar>
state_ic = stateModel->getNominalValues();
*out << "\nstate_ic:\n" << describe(state_ic,verbLevel);
RCP<Rythmos::IntegratorBase<Scalar> > integrator;
{
RCP<ParameterList>
integratorPL = sublist(paramList,RythmosIntegrator_name);
integratorPL->set( "Take Variable Steps", as<bool>(numTimeSteps < 0) );
integratorPL->set( "Fixed dt", as<double>((finalTime - state_ic.get_t())/numTimeSteps) );
RCP<Rythmos::IntegratorBase<Scalar> >
defaultIntegrator = Rythmos::controlledDefaultIntegrator<Scalar>(
Rythmos::simpleIntegrationControlStrategy<Scalar>(integratorPL)
);
integrator = defaultIntegrator;
}
RCP<Rythmos::StepperAsModelEvaluator<Scalar> >
stateIntegratorAsModel = Rythmos::stepperAsModelEvaluator(
stateStepper, integrator, state_ic
);
stateIntegratorAsModel->setVerbLevel(verbLevel);
*out << "\nUse the StepperAsModelEvaluator to integrate state x(p,finalTime) ... \n";
RCP<Thyra::VectorBase<Scalar> > x_final;
{
Teuchos::OSTab tab(out);
x_final = createMember(stateIntegratorAsModel->get_g_space(0));
eval_g(
*stateIntegratorAsModel,
0, *state_ic.get_p(0),
finalTime,
0, &*x_final
);
*out
<< "\nx_final = x(p,finalTime) evaluated using stateIntegratorAsModel:\n"
<< describe(*x_final,solnVerbLevel);
}
//
// Test the integrated state against the exact analytical state solution
//
RCP<const Thyra::VectorBase<Scalar> >
exact_x_final = create_Vector(
epetraStateModel->getExactSolution(finalTime),
stateModel->get_x_space()
);
result = Thyra::testRelNormDiffErr(
"exact_x_final", *exact_x_final, "x_final", *x_final,
"maxStateError", maxStateError, "warningTol", 1.0, // Don't warn
&*out, solnVerbLevel
);
if (!result) success = false;
//
// Solve and test the forward sensitivity computation
//
if (doFwdSensSolve) {
//
// Create the forward sensitivity stepper
//
RCP<Rythmos::ForwardSensitivityStepper<Scalar> > stateAndSensStepper =
Rythmos::forwardSensitivityStepper<Scalar>();
if (doFwdSensErrorControl) {
stateAndSensStepper->initializeDecoupledSteppers(
stateModel, 0, stateModel->getNominalValues(),
stateStepper, nonlinearSolver,
integrator->cloneIntegrator(), finalTime
);
}
else {
stateAndSensStepper->initializeSyncedSteppers(
stateModel, 0, stateModel->getNominalValues(),
stateStepper, nonlinearSolver
);
// The above call will result in stateStepper and nonlinearSolver being
// cloned. This helps to ensure consistency between the state and
// sensitivity computations!
}
//
// Set the initial condition for the state and forward sensitivities
//
RCP<Thyra::VectorBase<Scalar> > s_bar_init
= createMember(stateAndSensStepper->getFwdSensModel()->get_x_space());
assign( s_bar_init.ptr(), 0.0 );
RCP<Thyra::VectorBase<Scalar> > s_bar_dot_init
= createMember(stateAndSensStepper->getFwdSensModel()->get_x_space());
assign( s_bar_dot_init.ptr(), 0.0 );
// Above, I believe that these are the correct initial conditions for
// s_bar and s_bar_dot given how the EpetraExt::DiagonalTransientModel
// is currently implemented!
RCP<const Rythmos::StateAndForwardSensitivityModelEvaluator<Scalar> >
stateAndSensModel = stateAndSensStepper->getStateAndFwdSensModel();
MEB::InArgs<Scalar>
state_and_sens_ic = stateAndSensStepper->getModel()->createInArgs();
// Copy time, parameters etc.
state_and_sens_ic.setArgs(state_ic);
// Set initial condition for x_bar = [ x; s_bar ]
state_and_sens_ic.set_x(
stateAndSensModel->create_x_bar_vec(state_ic.get_x(),s_bar_init)
);
// Set initial condition for x_bar_dot = [ x_dot; s_bar_dot ]
state_and_sens_ic.set_x_dot(
stateAndSensModel->create_x_bar_vec(state_ic.get_x_dot(),s_bar_dot_init)
);
*out << "\nstate_and_sens_ic:\n" << describe(state_and_sens_ic,verbLevel);
stateAndSensStepper->setInitialCondition(state_and_sens_ic);
//
// Use a StepperAsModelEvaluator to integrate the state+sens
//
RCP<Rythmos::StepperAsModelEvaluator<Scalar> >
stateAndSensIntegratorAsModel = Rythmos::stepperAsModelEvaluator(
rcp_implicit_cast<Rythmos::StepperBase<Scalar> >(stateAndSensStepper),
integrator, state_and_sens_ic
);
stateAndSensIntegratorAsModel->setVerbLevel(verbLevel);
*out << "\nUse the StepperAsModelEvaluator to integrate state + sens x_bar(p,finalTime) ... \n";
RCP<Thyra::VectorBase<Scalar> > x_bar_final;
{
Teuchos::OSTab tab(out);
x_bar_final = createMember(stateAndSensIntegratorAsModel->get_g_space(0));
eval_g(
*stateAndSensIntegratorAsModel,
0, *state_ic.get_p(0),
finalTime,
0, &*x_bar_final
);
*out
<< "\nx_bar_final = x_bar(p,finalTime) evaluated using stateAndSensIntegratorAsModel:\n"
<< describe(*x_bar_final,solnVerbLevel);
}
//
// Test that the state computed above is same as computed initially!
//
*out << "\nChecking that x(p,finalTime) computed as part of x_bar above is the same ...\n";
{
Teuchos::OSTab tab(out);
RCP<const Thyra::VectorBase<Scalar> >
x_in_x_bar_final = productVectorBase<Scalar>(x_bar_final)->getVectorBlock(0);
result = Thyra::testRelNormDiffErr<Scalar>(
"x_final", *x_final,
"x_in_x_bar_final", *x_in_x_bar_final,
"maxRestateError", maxRestateError,
"warningTol", 1.0, // Don't warn
&*out, solnVerbLevel
);
if (!result) success = false;
}
//
// Compute DxDp using finite differences
//
*out << "\nApproximating DxDp(p,t) using directional finite differences of integrator for x(p,t) ...\n";
RCP<Thyra::MultiVectorBase<Scalar> > DxDp_fd_final;
{
Teuchos::OSTab tab(out);
MEB::InArgs<Scalar>
fdBasePoint = stateIntegratorAsModel->createInArgs();
fdBasePoint.set_t(finalTime);
fdBasePoint.set_p(0,stateModel->getNominalValues().get_p(0));
DxDp_fd_final = createMembers(
stateIntegratorAsModel->get_g_space(0),
stateIntegratorAsModel->get_p_space(0)->dim()
);
typedef Thyra::DirectionalFiniteDiffCalculatorTypes::SelectedDerivatives
SelectedDerivatives;
MEB::OutArgs<Scalar> fdOutArgs =
fdCalc.createOutArgs(
*stateIntegratorAsModel,
SelectedDerivatives().supports(MEB::OUT_ARG_DgDp,0,0)
);
fdOutArgs.set_DgDp(0,0,DxDp_fd_final);
// Silence the model evaluators that are called. The fdCal object
// will show all of the inputs and outputs for each call.
stateStepper->setVerbLevel(Teuchos::VERB_NONE);
stateIntegratorAsModel->setVerbLevel(Teuchos::VERB_NONE);
fdCalc.calcDerivatives(
*stateIntegratorAsModel, fdBasePoint,
stateIntegratorAsModel->createOutArgs(), // Don't bother with function value
fdOutArgs
);
*out
<< "\nFinite difference DxDp_fd_final = DxDp(p,finalTime): "
<< describe(*DxDp_fd_final,solnVerbLevel);
}
//
// Test that the integrated sens and the F.D. sens are similar
//
*out << "\nChecking that integrated DxDp(p,finalTime) and finite-diff DxDp(p,finalTime) are similar ...\n";
{
Teuchos::OSTab tab(out);
RCP<const Thyra::VectorBase<Scalar> >
DxDp_vec_final = Thyra::productVectorBase<Scalar>(x_bar_final)->getVectorBlock(1);
RCP<const Thyra::VectorBase<Scalar> >
DxDp_fd_vec_final = Thyra::multiVectorProductVector(
rcp_dynamic_cast<const Thyra::DefaultMultiVectorProductVectorSpace<Scalar> >(
DxDp_vec_final->range()
),
DxDp_fd_final
);
result = Thyra::testRelNormDiffErr(
"DxDp_vec_final", *DxDp_vec_final,
"DxDp_fd_vec_final", *DxDp_fd_vec_final,
"maxSensError", maxSensError,
"warningTol", 1.0, // Don't warn
&*out, solnVerbLevel
);
if (!result) success = false;
}
}
}
TEUCHOS_STANDARD_CATCH_STATEMENTS(true,*out,success);
if(success)
*out << "\nEnd Result: TEST PASSED" << endl;
else
*out << "\nEnd Result: TEST FAILED" << endl;
return ( success ? 0 : 1 );
} // end main() [Doxygen looks for this!]
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());
}
}
}
