void ScaledModelEvaluator<Scalar>::evalModelImpl(
const ModelEvaluatorBase::InArgs<Scalar> &inArgs,
const ModelEvaluatorBase::OutArgs<Scalar> &outArgs
) const
{
using Teuchos::rcp;
using Teuchos::rcp_const_cast;
using Teuchos::rcp_dynamic_cast;
using Teuchos::OSTab;
typedef ScalarTraits<Scalar> ST;
typedef ModelEvaluatorBase MEB;
THYRA_MODEL_EVALUATOR_DECORATOR_EVAL_MODEL_BEGIN(
"Thyra::ScaledModelEvaluator",inArgs,outArgs
);
thyraModel->evalModel(inArgs, outArgs);
if (nonnull(f_scaling_)) {
const RCP<VectorBase<Scalar> > f = outArgs.get_f();
if (nonnull(f)) {
ele_wise_scale(*f_scaling_, f.ptr());
}
const RCP<LinearOpBase<Scalar> > W_op = outArgs.get_W_op();
if (nonnull(W_op)) {
const RCP<ScaledLinearOpBase<Scalar> > W_scaled =
rcp_dynamic_cast<ScaledLinearOpBase<Scalar> >(W_op, true);
W_scaled->scaleLeft(*f_scaling_);
}
}
THYRA_MODEL_EVALUATOR_DECORATOR_EVAL_MODEL_END();
}
void PolynomialModel::evalModelImpl(
const ModelEvaluatorBase::InArgs<double> &inArgs,
const ModelEvaluatorBase::OutArgs<double> &outArgs
) const
{
TEST_FOR_EXCEPTION( !isInitialized_, std::logic_error,
"Error, setPolynomial must be called first!\n"
);
//const RCP<const VectorBase<double> > x_in = inArgs.get_x().assert_not_null();
//Thyra::ConstDetachedVectorView<double> x_in_view( *x_in );
double t = inArgs.get_t();
double p;
poly_->evaluate(t,&p);
const RCP<VectorBase<double> > f_out = outArgs.get_f();
if (!is_null(f_out)) {
Thyra::DetachedVectorView<double> f_out_view( *f_out );
f_out_view[0] = p;
}
}
void DefaultModelEvaluatorWithSolveFactory<Scalar>::evalModelImpl(
const ModelEvaluatorBase::InArgs<Scalar> &inArgs,
const ModelEvaluatorBase::OutArgs<Scalar> &outArgs
) const
{
typedef ModelEvaluatorBase MEB;
using Teuchos::rcp;
using Teuchos::rcp_const_cast;
using Teuchos::rcp_dynamic_cast;
using Teuchos::OSTab;
THYRA_MODEL_EVALUATOR_DECORATOR_EVAL_MODEL_BEGIN(
"Thyra::DefaultModelEvaluatorWithSolveFactory",inArgs,outArgs
);
Teuchos::Time timer("");
typedef Teuchos::VerboseObjectTempState<LinearOpWithSolveFactoryBase<Scalar> >
VOTSLOWSF;
VOTSLOWSF W_factory_outputTempState(W_factory_,out,verbLevel);
// InArgs
MEB::InArgs<Scalar> wrappedInArgs = thyraModel->createInArgs();
wrappedInArgs.setArgs(inArgs,true);
// OutArgs
MEB::OutArgs<Scalar> wrappedOutArgs = thyraModel->createOutArgs();
wrappedOutArgs.setArgs(outArgs,true);
RCP<LinearOpWithSolveBase<Scalar> > W;
RCP<const LinearOpBase<Scalar> > fwdW;
if( outArgs.supports(MEB::OUT_ARG_W) && (W = outArgs.get_W()).get() ) {
Thyra::uninitializeOp<Scalar>(*W_factory_, W.ptr(), outArg(fwdW));
{
// Handle this case later if we need to!
const bool both_W_and_W_op_requested = nonnull(outArgs.get_W_op());
TEUCHOS_TEST_FOR_EXCEPT(both_W_and_W_op_requested);
}
RCP<LinearOpBase<Scalar> > nonconst_fwdW;
if(fwdW.get()) {
nonconst_fwdW = rcp_const_cast<LinearOpBase<Scalar> >(fwdW);
}
else {
nonconst_fwdW = thyraModel->create_W_op();
fwdW = nonconst_fwdW;
}
wrappedOutArgs.set_W_op(nonconst_fwdW);
}
// Do the evaluation
if(out.get() && includesVerbLevel(verbLevel,Teuchos::VERB_LOW))
*out << "\nEvaluating the output functions on model \'"
<< thyraModel->description() << "\' ...\n";
timer.start(true);
thyraModel->evalModel(wrappedInArgs,wrappedOutArgs);
timer.stop();
if(out.get() && includesVerbLevel(verbLevel,Teuchos::VERB_LOW))
OSTab(out).o() << "\nTime to evaluate underlying model = "
<< timer.totalElapsedTime()<<" sec\n";
// Postprocess arguments
if(out.get() && includesVerbLevel(verbLevel,Teuchos::VERB_LOW))
*out << "\nPost processing the output objects ...\n";
timer.start(true);
if( W.get() ) {
Thyra::initializeOp<Scalar>(*W_factory_, fwdW, W.ptr());
W->setVerbLevel(this->getVerbLevel());
W->setOStream(this->getOStream());
}
timer.stop();
if(out.get() && includesVerbLevel(verbLevel,Teuchos::VERB_LOW))
OSTab(out).o() << "\nTime to process output objects = "
<< timer.totalElapsedTime()<<" sec\n";
THYRA_MODEL_EVALUATOR_DECORATOR_EVAL_MODEL_END();
}
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 VanderPolModel::evalModelImpl(
const ModelEvaluatorBase::InArgs<double> &inArgs,
const ModelEvaluatorBase::OutArgs<double> &outArgs
) const
{
using Teuchos::as;
using Teuchos::outArg;
using Teuchos::optInArg;
using Teuchos::inOutArg;
using Sacado::Fad::DFad;
TEST_FOR_EXCEPTION( !isInitialized_, std::logic_error,
"Error, setParameterList must be called first!\n"
);
const RCP<const VectorBase<double> > x_in = inArgs.get_x().assert_not_null();
Thyra::ConstDetachedVectorView<double> x_in_view( *x_in );
double t = inArgs.get_t();
double eps = epsilon_;
if (acceptModelParams_) {
const RCP<const VectorBase<double> > p_in = inArgs.get_p(0).assert_not_null();
Thyra::ConstDetachedVectorView<double> p_in_view( *p_in );
eps = p_in_view[0];
}
RCP<const VectorBase<double> > x_dot_in;
double alpha = -1.0;
double beta = -1.0;
if (isImplicit_) {
x_dot_in = inArgs.get_x_dot().assert_not_null();
alpha = inArgs.get_alpha();
beta = inArgs.get_beta();
}
const RCP<VectorBase<double> > f_out = outArgs.get_f();
const RCP<Thyra::LinearOpBase<double> > W_out = outArgs.get_W_op();
RCP<Thyra::MultiVectorBase<double> > DfDp_out;
if (acceptModelParams_) {
Derivative<double> DfDp = outArgs.get_DfDp(0);
DfDp_out = DfDp.getMultiVector();
}
// Determine how many derivatives we will compute
int num_derivs = 0;
if (nonnull(W_out)) {
num_derivs += 2;
if (isImplicit_) {
num_derivs += 2;
}
}
if (nonnull(DfDp_out))
num_derivs += 1;
// Set up the FAD derivative objects
int deriv_i = 0;
Array<DFad<double> > x_dot_fad;
int x_dot_idx_offset = 0;
if (isImplicit_) {
Thyra::ConstDetachedVectorView<double> x_dot_in_view( *x_dot_in );
if (nonnull(W_out)) {
x_dot_idx_offset = deriv_i;
x_dot_fad = convertToIndepVarFadArray<double>(x_dot_in_view.sv().values()(),
num_derivs, inOutArg(deriv_i));
}
else {
x_dot_fad = convertToPassiveFadArray<double>(x_dot_in_view.sv().values()());
}
}
Array<DFad<double> > x_fad;
int x_idx_offset = 0;
if (nonnull(W_out)) {
x_idx_offset = deriv_i;
x_fad = convertToIndepVarFadArray<double>(x_in_view.sv().values()(),
num_derivs, inOutArg(deriv_i));
}
else {
x_fad = convertToPassiveFadArray<double>(x_in_view.sv().values()());
}
DFad<double> eps_fad(eps); // Default passive
int eps_idx_offset = 0;
if (nonnull(DfDp_out)) {
eps_idx_offset = deriv_i;
eps_fad = DFad<double>(num_derivs, deriv_i++, eps);
}
// Compute the function
Array<DFad<double> > f_fad(2);
this->eval_f<DFad<double> >( x_dot_fad, x_fad, eps_fad, t, f_fad );
// Extract the output
if (nonnull(f_out)) {
Thyra::DetachedVectorView<double> f_out_view( *f_out );
for ( int i = 0; i < as<int>(f_fad.size()); ++i )
f_out_view[i] = f_fad[i].val();
}
if (nonnull(W_out)) {
const RCP<Thyra::MultiVectorBase<double> > matrix =
Teuchos::rcp_dynamic_cast<Thyra::MultiVectorBase<double> >(W_out, true);
Thyra::DetachedMultiVectorView<double> matrix_view( *matrix );
if (isImplicit_) {
for ( int i = 0; i < matrix_view.subDim(); ++i) {
for ( int j = 0; j < matrix_view.numSubCols(); ++j) {
matrix_view(i, j) = alpha * f_fad[i].dx(x_dot_idx_offset+j)
+ beta * f_fad[i].dx(x_idx_offset + j);
}
}
}
else {
for ( int i = 0; i < matrix_view.subDim(); ++i) {
for ( int j = 0; j < matrix_view.numSubCols(); ++j) {
matrix_view(i, j) = f_fad[i].dx(x_idx_offset + j);
}
}
}
}
if (nonnull(DfDp_out)) {
Thyra::DetachedMultiVectorView<double> DfDp_out_view( *DfDp_out );
for ( int i = 0; i < DfDp_out_view.subDim(); ++i )
DfDp_out_view(i,0) = f_fad[i].dx(eps_idx_offset);
}
}
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());
}
}
}