//---------------------------------------------------------------------------//
// Tests.
//---------------------------------------------------------------------------//
TEUCHOS_UNIT_TEST( LAPACK, block_inversion )
{
// Build a 4x4 block.
int m = 4;
int n = 4;
Teuchos::SerialDenseMatrix<int,double> block( m, n );
block(0,0) = 3.2;
block(0,1) = -1.43;
block(0,2) = 2.98;
block(0,3) = 0.32;
block(1,0) = -4.12;
block(1,1) = -7.53;
block(1,2) = 1.44;
block(1,3) = -3.72;
block(2,0) = 4.24;
block(2,1) = -6.42;
block(2,2) = 1.82;
block(2,3) = 2.67;
block(3,0) = -0.23;
block(3,1) = 5.8;
block(3,2) = 1.13;
block(3,3) = -3.73;
// Make a LAPACK object.
Teuchos::LAPACK<int,double> lapack;
// Compute the LU-factorization of the block.
Teuchos::ArrayRCP<int> ipiv( block.numRows() );
int info = 0;
int lda = m;
lapack.GETRF( m, n, block.values(), lda, ipiv.getRawPtr(), &info );
TEST_EQUALITY( info, 0 );
// Compute the inverse of the block from the LU-factorization.
Teuchos::ArrayRCP<double> work( m );
lapack.GETRI( n, block.values(), lda, ipiv.getRawPtr(),
work.getRawPtr(), work.size(), &info );
TEST_EQUALITY( info, 0 );
TEST_EQUALITY( work[0], m );
// Check the inversion against matlab.
TEST_FLOATING_EQUALITY( block(0,0), -0.461356423424245, 1.0e-14 );
TEST_FLOATING_EQUALITY( block(0,1), -0.060920073472551, 1.0e-14 );
TEST_FLOATING_EQUALITY( block(0,2), 0.547244760641934, 1.0e-14 );
TEST_FLOATING_EQUALITY( block(0,3), 0.412904055961420, 1.0e-14 );
TEST_FLOATING_EQUALITY( block(1,0), 0.154767451798665, 1.0e-14 );
TEST_FLOATING_EQUALITY( block(1,1), -0.056225122550555, 1.0e-14 );
TEST_FLOATING_EQUALITY( block(1,2), -0.174451348828054, 1.0e-14 );
TEST_FLOATING_EQUALITY( block(1,3), -0.055523340725809, 1.0e-14 );
TEST_FLOATING_EQUALITY( block(2,0), 0.848746201780808, 1.0e-14 );
TEST_FLOATING_EQUALITY( block(2,1), 0.045927762119214, 1.0e-14 );
TEST_FLOATING_EQUALITY( block(2,2), -0.618485718805259, 1.0e-14 );
TEST_FLOATING_EQUALITY( block(2,3), -0.415712965073367, 1.0e-14 );
TEST_FLOATING_EQUALITY( block(3,0), 0.526232280383953, 1.0e-14 );
TEST_FLOATING_EQUALITY( block(3,1), -0.069757566407458, 1.0e-14 );
TEST_FLOATING_EQUALITY( block(3,2), -0.492378815120724, 1.0e-14 );
TEST_FLOATING_EQUALITY( block(3,3), -0.505833501236923, 1.0e-14 );
}
TEUCHOS_UNIT_TEST(point_values, md_field_evaluate)
{
typedef panzer::Traits::FadType ScalarType;
typedef PHX::MDField<ScalarType> ArrayType;
typedef PHX::KokkosViewFactory<ScalarType,PHX::Device> ViewFactory;
typedef PHX::MDField<double>::size_type size_type;
Teuchos::RCP<shards::CellTopology> topo =
Teuchos::rcp(new shards::CellTopology(shards::getCellTopologyData< shards::Quadrilateral<4> >()));
const int num_cells = 4;
const int base_cell_dimension = 2;
const panzer::CellData cell_data(num_cells,topo);
int num_points = 3;
RCP<PointRule> point_rule = rcp(new PointRule("RandomPoints",num_points, cell_data));
TEST_EQUALITY(point_rule->num_points,num_points);
panzer::PointValues<ScalarType,PHX::MDField<ScalarType> > point_values;
panzer::MDFieldArrayFactory af("prefix_");
point_values.setupArrays(point_rule,af);
// Set up node coordinates. Here we assume the following
// ordering. This needs to be consistent with shards topology,
// otherwise we will get negative determinates
// 3(0,1)---2(1,1)
// | 0 |
// | |
// 0(0,0)---1(1,0)
const size_type derivative_dim = 4;
const std::vector<PHX::index_size_type> ddims(1,derivative_dim);
const int num_vertices = point_rule->topology->getNodeCount();
ArrayType node_coordinates = af.buildArray<ScalarType,Cell,NODE,Dim>("node_coordinates",num_cells, num_vertices, base_cell_dimension);
node_coordinates.setFieldData(ViewFactory::buildView(node_coordinates.fieldTag(),ddims));
const size_type x = 0;
const size_type y = 1;
for (size_type cell = 0; cell < node_coordinates.dimension(0); ++cell) {
int xleft = cell % 2;
int yleft = int(cell/2);
node_coordinates(cell,0,x) = xleft*0.5;
node_coordinates(cell,0,y) = yleft*0.5;
node_coordinates(cell,1,x) = (xleft+1)*0.5;
node_coordinates(cell,1,y) = yleft*0.5;
node_coordinates(cell,2,x) = (xleft+1)*0.5;
node_coordinates(cell,2,y) = (yleft+1)*0.5;
node_coordinates(cell,3,x) = xleft*0.5;
node_coordinates(cell,3,y) = (yleft+1)*0.5;
out << "Cell " << cell << " = ";
for(int i=0;i<4;i++)
out << "(" << node_coordinates(cell,i,x) << ", "
<< node_coordinates(cell,i,y) << ") ";
out << std::endl;
}
// Build the evaluation points
ArrayType point_coordinates = af.buildArray<ScalarType,IP,Dim>("points",num_points, base_cell_dimension);
point_coordinates.setFieldData(ViewFactory::buildView(point_coordinates.fieldTag(),ddims));
point_coordinates(0,0) = 0.0; point_coordinates(0,1) = 0.0; // mid point
point_coordinates(1,0) = 0.5; point_coordinates(1,1) = 0.5; // mid point of upper left quadrant
point_coordinates(2,0) = -0.5; point_coordinates(2,1) = 0.0; // mid point of line from center to left side
point_values.coords_ref.setFieldData(ViewFactory::buildView(point_values.coords_ref.fieldTag(),ddims));
point_values.node_coordinates.setFieldData(ViewFactory::buildView(point_values.node_coordinates.fieldTag(),ddims));
point_values.point_coords.setFieldData(ViewFactory::buildView(point_values.point_coords.fieldTag(),ddims));
point_values.jac.setFieldData(ViewFactory::buildView(point_values.jac.fieldTag(),ddims));
point_values.jac_inv.setFieldData(ViewFactory::buildView(point_values.jac_inv.fieldTag(),ddims));
point_values.jac_det.setFieldData(ViewFactory::buildView(point_values.jac_det.fieldTag(),ddims));
point_values.evaluateValues(node_coordinates,point_coordinates);
// check the reference values (ensure copying)
for(int p=0;p<num_points;p++)
for(size_type d=0;d<base_cell_dimension;d++)
TEST_EQUALITY(point_values.coords_ref(p,d).val(),point_coordinates(p,d).val());
// check the shifted values (ensure physical mapping)
for(int c=0;c<num_cells;c++) {
double dx = 0.5;
double dy = 0.5;
for(int p=0;p<num_points;p++) {
double x = dx*(point_coordinates(p,0).val()+1.0)/2.0 + node_coordinates(c,0,0).val();
double y = dy*(point_coordinates(p,1).val()+1.0)/2.0 + node_coordinates(c,0,1).val();
TEST_FLOATING_EQUALITY(point_values.point_coords(c,p,0).val(),x,1e-10);
TEST_FLOATING_EQUALITY(point_values.point_coords(c,p,1).val(),y,1e-10);
}
}
// check the jacobian
for(int c=0;c<num_cells;c++) {
double dx = 0.5;
double dy = 0.5;
for(int p=0;p<num_points;p++) {
TEST_FLOATING_EQUALITY(point_values.jac(c,p,0,0).val(),dx/2.0,1e-10);
TEST_FLOATING_EQUALITY(point_values.jac(c,p,0,1).val(),0.0,1e-10);
TEST_FLOATING_EQUALITY(point_values.jac(c,p,1,0).val(),0.0,1e-10);
TEST_FLOATING_EQUALITY(point_values.jac(c,p,1,1).val(),dy/2.0,1e-10);
}
}
for(int c=0;c<num_cells;c++) {
double dx = 0.5;
double dy = 0.5;
for(int p=0;p<num_points;p++) {
TEST_FLOATING_EQUALITY(point_values.jac_det(c,p).val(),dy*dx/4.0,1e-10);
}
}
out << "TESTING" << std::endl;
for(size_type c=0;c<point_values.jac_det.size();c++) {
point_values.jac_det[c] = c+1.0;
out << " " << point_values.jac_det[c] << ", " << c+1.0 << std::endl;
}
out << "TESTING B" << std::endl;
for(size_type c=0;c<point_values.jac_det.size();c++)
out << " " << point_values.jac_det[c] << ", " << c << std::endl;
// check the inverse jacobian
for(int c=0;c<num_cells;c++) {
double dx = 0.5;
double dy = 0.5;
for(int p=0;p<num_points;p++) {
TEST_FLOATING_EQUALITY(point_values.jac_inv(c,p,0,0).val(),2.0/dx,1e-10);
TEST_FLOATING_EQUALITY(point_values.jac_inv(c,p,0,1).val(),0.0,1e-10);
TEST_FLOATING_EQUALITY(point_values.jac_inv(c,p,1,0).val(),0.0,1e-10);
TEST_FLOATING_EQUALITY(point_values.jac_inv(c,p,1,1).val(),2.0/dy,1e-10);
}
}
}
TEUCHOS_UNIT_TEST(point_values, intrepid_container)
{
Teuchos::RCP<shards::CellTopology> topo =
Teuchos::rcp(new shards::CellTopology(shards::getCellTopologyData< shards::Quadrilateral<4> >()));
const int num_cells = 4;
const int base_cell_dimension = 2;
const panzer::CellData cell_data(num_cells,topo);
int num_points = 3;
RCP<PointRule> point_rule = rcp(new PointRule("RandomPoints",num_points, cell_data));
TEST_EQUALITY(point_rule->num_points,num_points);
panzer::PointValues<double,Kokkos::DynRankView<double,PHX::Device> > point_values;
panzer::Intrepid2FieldContainerFactory af;
point_values.setupArrays(point_rule,af);
// Set up node coordinates. Here we assume the following
// ordering. This needs to be consistent with shards topology,
// otherwise we will get negative determinates
// 3(0,1)---2(1,1)
// | 0 |
// | |
// 0(0,0)---1(1,0)
const int num_vertices = point_rule->topology->getNodeCount();
Kokkos::DynRankView<double,PHX::Device> node_coordinates(num_cells, num_vertices,
base_cell_dimension);
typedef panzer::ArrayTraits<double,Kokkos::DynRankView<double,PHX::Device> >::size_type size_type;
const size_type x = 0;
const size_type y = 1;
for (size_type cell = 0; cell < node_coordinates.dimension(0); ++cell) {
int xleft = cell % 2;
int yleft = int(cell/2);
node_coordinates(cell,0,x) = xleft*0.5;
node_coordinates(cell,0,y) = yleft*0.5;
node_coordinates(cell,1,x) = (xleft+1)*0.5;
node_coordinates(cell,1,y) = yleft*0.5;
node_coordinates(cell,2,x) = (xleft+1)*0.5;
node_coordinates(cell,2,y) = (yleft+1)*0.5;
node_coordinates(cell,3,x) = xleft*0.5;
node_coordinates(cell,3,y) = (yleft+1)*0.5;
out << "Cell " << cell << " = ";
for(int i=0;i<4;i++)
out << "(" << node_coordinates(cell,i,x) << ", "
<< node_coordinates(cell,i,y) << ") ";
out << std::endl;
}
// Build the evaluation points
Kokkos::DynRankView<double,PHX::Device> point_coordinates("a",num_points, base_cell_dimension);
point_coordinates(0,0) = 0.0; point_coordinates(0,1) = 0.0; // mid point
point_coordinates(1,0) = 0.5; point_coordinates(1,1) = 0.5; // mid point of upper left quadrant
point_coordinates(2,0) = -0.5; point_coordinates(2,1) = 0.0; // mid point of line from center to left side
point_values.evaluateValues(node_coordinates,point_coordinates);
for(size_type p=0;p<num_points;p++)
for(size_type d=0;d<base_cell_dimension;d++)
TEST_EQUALITY(point_values.coords_ref(p,d),point_coordinates(p,d));
for(int c=0;c<num_cells;c++) {
double dx = 0.5;
double dy = 0.5;
for(size_type p=0;p<num_points;p++) {
double x = dx*(point_coordinates(p,0)+1.0)/2.0 + node_coordinates(c,0,0);
double y = dy*(point_coordinates(p,1)+1.0)/2.0 + node_coordinates(c,0,1);
TEST_FLOATING_EQUALITY(point_values.point_coords(c,p,0),x,1e-10);
TEST_FLOATING_EQUALITY(point_values.point_coords(c,p,1),y,1e-10);
}
}
}
TEUCHOS_UNIT_TEST( Rythmos_GlobalErrorEstimator, SinCos ) {
typedef Teuchos::ScalarTraits<double> ST;
// Forward Solve, storing data in linear interpolation buffer
int storageLimit = 100;
double finalTime = 0.1;
double dt = 0.1;
RCP<IntegratorBuilder<double> > ib = integratorBuilder<double>();
{
RCP<ParameterList> ibPL = Teuchos::parameterList();
ibPL->sublist("Integrator Settings").sublist("Integrator Selection").set("Integrator Type","Default Integrator");
ibPL->sublist("Integrator Settings").set("Final Time",finalTime);
ibPL->sublist("Integration Control Strategy Selection").set("Integration Control Strategy Type","Simple Integration Control Strategy");
ibPL->sublist("Integration Control Strategy Selection").sublist("Simple Integration Control Strategy").set("Take Variable Steps",false);
ibPL->sublist("Integration Control Strategy Selection").sublist("Simple Integration Control Strategy").set("Fixed dt",dt);
ibPL->sublist("Stepper Settings").sublist("Stepper Selection").set("Stepper Type","Backward Euler");
//ibPL->sublist("Stepper Settings").sublist("Stepper Selection").set("Stepper Type","Implicit RK");
//ibPL->sublist("Stepper Settings").sublist("Runge Kutta Butcher Tableau Selection").set("Runge Kutta Butcher Tableau Type","Backward Euler");
ibPL->sublist("Interpolation Buffer Settings").sublist("Trailing Interpolation Buffer Selection").set("Interpolation Buffer Type","Interpolation Buffer");
ibPL->sublist("Interpolation Buffer Settings").sublist("Trailing Interpolation Buffer Selection").sublist("Interpolation Buffer").set("StorageLimit",storageLimit);
ibPL->sublist("Interpolation Buffer Settings").sublist("Interpolator Selection").set("Interpolator Type","Linear Interpolator");
ib->setParameterList(ibPL);
}
RCP<SinCosModel> fwdModel = sinCosModel(true); // implicit formulation
Thyra::ModelEvaluatorBase::InArgs<double> fwdIC = fwdModel->getNominalValues();
RCP<Thyra::NonlinearSolverBase<double> > fwdNLSolver = timeStepNonlinearSolver<double>();
RCP<IntegratorBase<double> > fwdIntegrator = ib->create(fwdModel,fwdIC,fwdNLSolver);
RCP<const VectorBase<double> > x_final;
{
Array<double> time_vec;
time_vec.push_back(finalTime);
Array<RCP<const Thyra::VectorBase<double> > > x_final_array;
fwdIntegrator->getFwdPoints(time_vec,&x_final_array,NULL,NULL);
x_final = x_final_array[0];
}
// Verify x_final is correct
{
// Defaults from SinCos Model:
double f = 1.0;
double L = 1.0;
double a = 0.0;
double x_ic_0 = 0.0;
double x_ic_1 = 1.0;
double x_0 = dt/(1.0+std::pow(dt*f/L,2))*(x_ic_0/dt+x_ic_1+dt*std::pow(f/L,2)*a);
double x_1 = dt/(1.0+std::pow(dt*f/L,2))*(-std::pow(f/L,2)*x_ic_0+x_ic_1/dt+std::pow(f/L,2)*a);
double tol = 1.0e-10;
Thyra::ConstDetachedVectorView<double> x_final_view( *x_final );
TEST_FLOATING_EQUALITY( x_final_view[0], x_0, tol );
TEST_FLOATING_EQUALITY( x_final_view[1], x_1, tol );
}
// Copy InterpolationBuffer data into Cubic Spline interpolation buffer for use in Adjoint Solve
TimeRange<double> fwdTimeRange;
RCP<InterpolationBufferBase<double> > fwdCubicSplineInterpBuffer;
{
RCP<PointwiseInterpolationBufferAppender<double> > piba = pointwiseInterpolationBufferAppender<double>();
RCP<InterpolationBuffer<double> > sinkInterpBuffer = interpolationBuffer<double>();
sinkInterpBuffer->setStorage(storageLimit);
RCP<CubicSplineInterpolator<double> > csi = cubicSplineInterpolator<double>();
sinkInterpBuffer->setInterpolator(csi);
RCP<const InterpolationBufferBase<double> > sourceInterpBuffer;
{
RCP<TrailingInterpolationBufferAcceptingIntegratorBase<double> > tibaib =
Teuchos::rcp_dynamic_cast<TrailingInterpolationBufferAcceptingIntegratorBase<double> >(fwdIntegrator,true);
sourceInterpBuffer = tibaib->getTrailingInterpolationBuffer();
}
fwdTimeRange = sourceInterpBuffer->getTimeRange();
piba->append(*sourceInterpBuffer, fwdTimeRange, Teuchos::outArg(*sinkInterpBuffer));
fwdCubicSplineInterpBuffer = sinkInterpBuffer;
TimeRange<double> sourceRange = sourceInterpBuffer->getTimeRange();
TimeRange<double> sinkRange = sinkInterpBuffer->getTimeRange();
TEST_EQUALITY( sourceRange.lower(), sinkRange.lower() );
TEST_EQUALITY( sourceRange.upper(), sinkRange.upper() );
}
// Adjoint Solve, reading forward solve data from Cubic Spline interpolation buffer
{
RCP<ParameterList> ibPL = Teuchos::parameterList();
ibPL->sublist("Integrator Settings").sublist("Integrator Selection").set("Integrator Type","Default Integrator");
ibPL->sublist("Integrator Settings").set("Final Time",finalTime);
ibPL->sublist("Integration Control Strategy Selection").set("Integration Control Strategy Type","Simple Integration Control Strategy");
ibPL->sublist("Integration Control Strategy Selection").sublist("Simple Integration Control Strategy").set("Take Variable Steps",false);
ibPL->sublist("Integration Control Strategy Selection").sublist("Simple Integration Control Strategy").set("Fixed dt",dt);
ibPL->sublist("Stepper Settings").sublist("Stepper Selection").set("Stepper Type","Backward Euler");
//ibPL->sublist("Stepper Settings").sublist("Stepper Selection").set("Stepper Type","Implicit RK");
//ibPL->sublist("Stepper Settings").sublist("Runge Kutta Butcher Tableau Selection").set("Runge Kutta Butcher Tableau Type","Implicit 1 Stage 2nd order Gauss");
ibPL->sublist("Interpolation Buffer Settings").sublist("Trailing Interpolation Buffer Selection").set("Interpolation Buffer Type","Interpolation Buffer");
ibPL->sublist("Interpolation Buffer Settings").sublist("Trailing Interpolation Buffer Selection").sublist("Interpolation Buffer").set("StorageLimit",storageLimit);
ibPL->sublist("Interpolation Buffer Settings").sublist("Interpolator Selection").set("Interpolator Type","Linear Interpolator");
ib->setParameterList(ibPL);
}
RCP<Thyra::ModelEvaluator<double> > adjModel;
{
RCP<Rythmos::AdjointModelEvaluator<double> > model =
Rythmos::adjointModelEvaluator<double>(
fwdModel, fwdTimeRange
);
//model->setFwdStateSolutionBuffer(fwdCubicSplineInterpBuffer);
adjModel = model;
}
Thyra::ModelEvaluatorBase::InArgs<double> adjIC = adjModel->getNominalValues();
double phi_ic_0 = 2.0;
double phi_ic_1 = 3.0;
{
// Initial conditions for adjoint:
const RCP<const Thyra::VectorSpaceBase<double> >
f_space = fwdModel->get_f_space();
const RCP<Thyra::VectorBase<double> > x_ic = createMember(f_space);
{
Thyra::DetachedVectorView<double> x_ic_view( *x_ic );
x_ic_view[0] = phi_ic_0;
x_ic_view[1] = phi_ic_1;
}
const RCP<Thyra::VectorBase<double> > xdot_ic = createMember(f_space);
V_S( Teuchos::outArg(*xdot_ic), ST::zero() );
adjIC.set_x(x_ic);
adjIC.set_x_dot(xdot_ic);
}
RCP<Thyra::LinearNonlinearSolver<double> > adjNLSolver = Thyra::linearNonlinearSolver<double>();
RCP<IntegratorBase<double> > adjIntegrator = ib->create(adjModel,adjIC,adjNLSolver);
RCP<const VectorBase<double> > phi_final;
{
Array<double> time_vec;
time_vec.push_back(finalTime);
Array<RCP<const Thyra::VectorBase<double> > > phi_final_array;
adjIntegrator->getFwdPoints(time_vec,&phi_final_array,NULL,NULL);
phi_final = phi_final_array[0];
}
// Verify phi_final is correct
{
// Defaults from SinCos Model:
double f = 1.0;
double L = 1.0;
double h = -dt;
double phi_0 = 1.0/(1.0+std::pow(f*h/L,2.0))*(phi_ic_0+std::pow(f/L,2.0)*h*phi_ic_1);
double phi_1 = 1.0/(1.0+std::pow(f*h/L,2.0))*(-h*phi_ic_0+phi_ic_1);
double tol = 1.0e-10;
Thyra::ConstDetachedVectorView<double> phi_final_view( *phi_final );
TEST_FLOATING_EQUALITY( phi_final_view[0], phi_0, tol );
TEST_FLOATING_EQUALITY( phi_final_view[1], phi_1, tol );
}
// Compute error estimate
//TEST_ASSERT( false );
}
TEUCHOS_UNIT_TEST(RAPFactory, Correctness)
{
out << "version: " << MueLu::Version() << std::endl;
RCP<const Teuchos::Comm<int> > comm = Parameters::getDefaultComm();
Level fineLevel, coarseLevel; TestHelpers::TestFactory<SC, LO, GO, NO, LMO>::createTwoLevelHierarchy(fineLevel, coarseLevel);
RCP<Matrix> Op = TestHelpers::TestFactory<SC, LO, GO, NO, LMO>::Build1DPoisson(27*comm->getSize());
fineLevel.Set("A",Op);
TentativePFactory tentpFactory;
SaPFactory sapFactory;
sapFactory.SetFactory("P",rcpFromRef(tentpFactory));
TransPFactory transPFactory;
transPFactory.SetFactory("P", rcpFromRef(sapFactory)); //todo:rcpFromRef
coarseLevel.Request("P",&sapFactory);
coarseLevel.Request("R",&transPFactory);
coarseLevel.Request(sapFactory);
coarseLevel.Request(transPFactory);
sapFactory.Build(fineLevel,coarseLevel);
transPFactory.Build(fineLevel,coarseLevel);
RAPFactory rap;
rap.SetFactory("P", rcpFromRef(sapFactory));
rap.SetFactory("R", rcpFromRef(transPFactory));
coarseLevel.Request(rap);
coarseLevel.Request("A",&rap);
rap.Build(fineLevel,coarseLevel);
RCP<Matrix> A = fineLevel.Get< RCP<Matrix> >("A");
RCP<Matrix> P = coarseLevel.Get< RCP<Matrix> >("P", &sapFactory);
RCP<Matrix> R = coarseLevel.Get< RCP<Matrix> >("R", &transPFactory);
RCP<MultiVector> workVec1 = MultiVectorFactory::Build(P->getRangeMap(),1);
RCP<MultiVector> workVec2 = MultiVectorFactory::Build(Op->getRangeMap(),1);
RCP<MultiVector> result1 = MultiVectorFactory::Build(R->getRangeMap(),1);
RCP<MultiVector> X = MultiVectorFactory::Build(P->getDomainMap(),1);
X->randomize();
//Calculate result1 = R*(A*(P*X))
P->apply(*X,*workVec1,Teuchos::NO_TRANS,(SC)1.0,(SC)0.0);
Op->apply(*workVec1,*workVec2,Teuchos::NO_TRANS,(SC)1.0,(SC)0.0);
R->apply(*workVec2,*result1,Teuchos::NO_TRANS,(SC)1.0,(SC)0.0);
RCP<Matrix> coarseOp = coarseLevel.Get< RCP<Matrix> >("A", &rap);
//Calculate result2 = (R*A*P)*X
RCP<MultiVector> result2 = MultiVectorFactory::Build(R->getRangeMap(),1);
coarseOp->apply(*X,*result2,Teuchos::NO_TRANS,(SC)1.0,(SC)0.0);
Teuchos::Array<ST::magnitudeType> normX(1), normResult1(1),normResult2(1);
X->norm2(normX);
out << "This test checks the correctness of the Galerkin triple "
<< "matrix product by comparing (RAP)*X to R(A(P*X))." << std::endl;
out << "||X||_2 = " << normX << std::endl;
result1->norm2(normResult1);
result2->norm2(normResult2);
TEST_FLOATING_EQUALITY(normResult1[0], normResult2[0], 1e-12);
} // Correctness test
TEUCHOS_UNIT_TEST(RAPFactory, ImplicitTranspose)
{
out << "version: " << MueLu::Version() << std::endl;
RCP<const Teuchos::Comm<int> > comm = Parameters::getDefaultComm();
if (comm->getSize() > 1 && TestHelpers::Parameters::getLib() == Xpetra::UseEpetra ) {
out << "Skipping ImplicitTranspose test for Epetra and #proc>1" << std::endl;
return;
}
// build test-specific default factory manager
RCP<FactoryManager> defManager = rcp(new FactoryManager());
defManager->SetFactory("A", rcp(MueLu::NoFactory::get(),false)); // dummy factory for A
defManager->SetFactory("Nullspace", rcp(new NullspaceFactory())); // real null space factory for Ptent
defManager->SetFactory("Graph", rcp(new CoalesceDropFactory())); // real graph factory for Ptent
defManager->SetFactory("Aggregates", rcp(new CoupledAggregationFactory())); // real aggregation factory for Ptent
Level fineLevel, coarseLevel;
TestHelpers::TestFactory<SC, LO, GO, NO, LMO>::createTwoLevelHierarchy(fineLevel, coarseLevel);
// overwrite default factory manager
fineLevel.SetFactoryManager(defManager);
coarseLevel.SetFactoryManager(defManager);
RCP<Matrix> Op = TestHelpers::TestFactory<SC, LO, GO, NO, LMO>::Build1DPoisson(19*comm->getSize());
fineLevel.Set("A",Op);
TentativePFactory tentpFactory;
SaPFactory sapFactory;
sapFactory.SetFactory("P",rcpFromRef(tentpFactory));
TransPFactory transPFactory;
transPFactory.SetFactory("P", rcpFromRef(sapFactory));
coarseLevel.Request("P", &sapFactory);
coarseLevel.Request("R", &transPFactory);
coarseLevel.Request(sapFactory);
coarseLevel.Request(transPFactory);
sapFactory.Build(fineLevel, coarseLevel);
transPFactory.Build(fineLevel,coarseLevel);
RAPFactory rap;
rap.SetFactory("P", rcpFromRef(sapFactory));
rap.SetFactory("R", rcpFromRef(transPFactory));
coarseLevel.Request("A", &rap);
rap.SetImplicitTranspose(true);
coarseLevel.Request(rap);
rap.Build(fineLevel,coarseLevel);
RCP<Matrix> A = fineLevel.Get< RCP<Matrix> >("A");
RCP<Matrix> P = coarseLevel.Get< RCP<Matrix> >("P", &sapFactory);
RCP<Matrix> R = coarseLevel.Get< RCP<Matrix> >("R", &transPFactory);
//std::string filename = "A.dat";
//Utils::Write(filename,Op);
//filename = "P.dat";
//Utils::Write(filename,P);
RCP<MultiVector> workVec1 = MultiVectorFactory::Build(P->getRangeMap(),1);
RCP<MultiVector> workVec2 = MultiVectorFactory::Build(Op->getRangeMap(),1);
RCP<MultiVector> result1 = MultiVectorFactory::Build(P->getDomainMap(),1);
RCP<MultiVector> X = MultiVectorFactory::Build(P->getDomainMap(),1);
X->randomize();
//out.precision(12);
//out.setOutputToRootOnly(-1);
//X->describe(out,Teuchos::VERB_EXTREME);
//Calculate result1 = P^T*(A*(P*X))
P->apply(*X,*workVec1,Teuchos::NO_TRANS,(SC)1.0,(SC)0.0);
Op->apply(*workVec1,*workVec2,Teuchos::NO_TRANS,(SC)1.0,(SC)0.0);
P->apply(*workVec2,*result1,Teuchos::TRANS,(SC)1.0,(SC)0.0);
RCP<Matrix> coarseOp = coarseLevel.Get< RCP<Matrix> >("A", &rap);
//Calculate result2 = (R*A*P)*X
RCP<MultiVector> result2 = MultiVectorFactory::Build(P->getDomainMap(),1);
coarseOp->apply(*X,*result2,Teuchos::NO_TRANS,(SC)1.0,(SC)0.0);
Teuchos::Array<ST::magnitudeType> normX(1), normResult1(1),normResult2(1);
X->norm2(normX);
out << "This test checks the correctness of the Galerkin triple "
<< "matrix product by comparing (RAP)*X to R(A(P*X)), where R is the implicit tranpose of P." << std::endl;
out << "||X||_2 = " << normX << std::endl;
result1->norm2(normResult1);
result2->norm2(normResult2);
TEST_FLOATING_EQUALITY(normResult1[0], normResult2[0], 1e-12);
} // Correctness test
TEUCHOS_UNIT_TEST_TEMPLATE_1_DECL( SpmdLocalDataAccess,
getNonconstLocalSubVectorView_procRankLocalDim, Scalar )
{
typedef typename ScalarTraits<Scalar>::magnitudeType ScalarMag;
const RCP<const DefaultSpmdVectorSpace<Scalar> > vs =
createProcRankLocalDimVS<Scalar>();
const RCP<const Teuchos::Comm<Ordinal> > comm = vs->getComm();
const int procRank = comm->getRank();
PRINT_VAR(procRank);
const int numProcs = comm->getSize();
PRINT_VAR(numProcs);
out << "*** A) Test that we get and change the nonconst view"
<< " directly through an SPMD Vector ...\n";
{
const RCP<VectorBase<Scalar> > v = createMember<Scalar>(vs);
const Scalar val = as<Scalar>(1.5);
PRINT_VAR(val);
assign<Scalar>(v.ptr(), val);
const ScalarMag tol = 100.0*ScalarTraits<Scalar>::eps();
TEST_FLOATING_EQUALITY(sum<Scalar>(*v), as<Scalar>(vs->dim())*val, tol);
{
out << "*** A.1) Get the non-const view and set the local elements ...\n";
RTOpPack::SubVectorView<Scalar> lsv =
getNonconstLocalSubVectorView<Scalar>(v);
TEST_EQUALITY(lsv.globalOffset(), as<Ordinal>((procRank*(procRank+1))/2));
TEST_EQUALITY(lsv.subDim(), procRank+1);
TEST_EQUALITY_CONST(lsv.stride(), 1);
for (int k = 0; k < lsv.subDim(); ++k) {
lsv[k] = lsv.globalOffset() + k + 1;
}
const Ordinal n = vs->dim();
TEST_FLOATING_EQUALITY(sum<Scalar>(*v), as<Scalar>((n*(n+1))/2.0), tol);
}
{
out << "*** A.2) Get the const view and check the local elemetns ...\n";
RTOpPack::ConstSubVectorView<Scalar> lsv =
getLocalSubVectorView<Scalar>(v);
TEST_EQUALITY(lsv.subDim(), procRank+1);
TEST_EQUALITY_CONST(lsv.stride(), 1);
for (int k = 0; k < lsv.subDim(); ++k) {
TEST_EQUALITY(lsv[k], as<Scalar>(lsv.globalOffset() + k + 1));
}
}
}
out << "*** B) Test that we get and change the nonconst view"
<< " indirectly through a product vector with one block ...\n";
{
const RCP<const VectorSpaceBase<Scalar> > pvs =
productVectorSpace<Scalar>(tuple<RCP<const VectorSpaceBase<Scalar> > >(vs)());
const RCP<VectorBase<Scalar> > pv = createMember<Scalar>(pvs);
const Scalar val = as<Scalar>(1.7);
PRINT_VAR(val);
assign<Scalar>(pv.ptr(), val);
const ScalarMag tol = 100.0*ScalarTraits<Scalar>::eps();
{
out << "*** B.1) Get the non-const view and set the local elements ...\n";
RTOpPack::SubVectorView<Scalar> lsv =
getNonconstLocalSubVectorView<Scalar>(pv);
TEST_EQUALITY(lsv.globalOffset(), as<Ordinal>((procRank*(procRank+1))/2));
TEST_EQUALITY(lsv.subDim(), procRank+1);
TEST_EQUALITY_CONST(lsv.stride(), 1);
for (int k = 0; k < lsv.subDim(); ++k) {
lsv[k] = lsv.globalOffset() + k + 1;
}
const Ordinal n = vs->dim();
TEST_FLOATING_EQUALITY(sum<Scalar>(*pv), as<Scalar>((n*(n+1))/2.0), tol);
}
{
out << "*** B.2) Get the const view and check the local elemetns ...\n";
RTOpPack::ConstSubVectorView<Scalar> lsv =
getLocalSubVectorView<Scalar>(pv);
TEST_EQUALITY(lsv.subDim(), procRank+1);
TEST_EQUALITY_CONST(lsv.stride(), 1);
for (int k = 0; k < lsv.subDim(); ++k) {
TEST_EQUALITY(lsv[k], as<Scalar>(lsv.globalOffset() + k + 1));
}
}
}
}
TEUCHOS_UNIT_TEST(basis_time_vector, residual)
{
PHX::KokkosDeviceSession session;
const std::size_t workset_size = 1;
const std::string fieldName_q1 = "TEMPERATURE";
const std::string fieldName_qedge1 = "ION_TEMPERATURE";
Teuchos::RCP<panzer_stk_classic::STK_Interface> mesh = buildMesh(1,1);
// build input physics block
Teuchos::RCP<panzer::PureBasis> basis_q1 = buildBasis(workset_size,"Q1");
Teuchos::RCP<panzer::PureBasis> basis_qedge1 = buildBasis(workset_size,"QEdge1");
Teuchos::RCP<Teuchos::ParameterList> ipb = Teuchos::parameterList();
testInitialization(ipb);
const int default_int_order = 1;
std::string eBlockID = "eblock-0_0";
Teuchos::RCP<user_app::MyFactory> eqset_factory = Teuchos::rcp(new user_app::MyFactory);
panzer::CellData cellData(workset_size,mesh->getCellTopology("eblock-0_0"));
Teuchos::RCP<panzer::GlobalData> gd = panzer::createGlobalData();
Teuchos::RCP<panzer::PhysicsBlock> physicsBlock =
Teuchos::rcp(new PhysicsBlock(ipb,eBlockID,default_int_order,cellData,eqset_factory,gd,false));
Teuchos::RCP<panzer::IntegrationRule> ir = buildIR(workset_size,4);
Teuchos::RCP<panzer::BasisIRLayout> layout_qedge1 = Teuchos::rcp(new panzer::BasisIRLayout(basis_qedge1,*ir));
// build connection manager and field manager
const Teuchos::RCP<panzer::ConnManager<int,int> > conn_manager = Teuchos::rcp(new panzer_stk_classic::STKConnManager<int>(mesh));
RCP<panzer::DOFManager<int,int> > dofManager = Teuchos::rcp(new panzer::DOFManager<int,int>(conn_manager,MPI_COMM_WORLD));
dofManager->addField(fieldName_q1,Teuchos::rcp(new panzer::IntrepidFieldPattern(basis_q1->getIntrepidBasis())));
dofManager->addField(fieldName_qedge1,Teuchos::rcp(new panzer::IntrepidFieldPattern(basis_qedge1->getIntrepidBasis())));
dofManager->setOrientationsRequired(true);
dofManager->buildGlobalUnknowns();
// build worksets
std::vector<Teuchos::RCP<panzer::PhysicsBlock> > physicsBlocks;
physicsBlocks.push_back(physicsBlock); // pushing back singular
panzer::WorksetContainer wkstContainer(Teuchos::rcp(new panzer_stk_classic::WorksetFactory(mesh)),physicsBlocks,workset_size);
wkstContainer.setGlobalIndexer(dofManager);
Teuchos::RCP<std::vector<panzer::Workset> > work_sets = wkstContainer.getVolumeWorksets(physicsBlock->elementBlockID());
TEST_EQUALITY(work_sets->size(),1);
// setup field manager, add evaluator under test
/////////////////////////////////////////////////////////////
PHX::FieldManager<panzer::Traits> fm;
{
Teuchos::ParameterList pl;
pl.set("Name","Integrand");
pl.set("IR",ir);
pl.set("Is Vector",true);
pl.set<Teuchos::RCP<const PointEvaluation<panzer::Traits::Residual::ScalarT> > >("Point Evaluator",
Teuchos::rcp(new BilinearPointEvaluator));
Teuchos::RCP<PHX::Evaluator<panzer::Traits> > evaluator
= Teuchos::rcp(new PointEvaluator<panzer::Traits::Residual,panzer::Traits>(pl));
fm.registerEvaluator<panzer::Traits::Residual>(evaluator);
}
{
Teuchos::ParameterList pl;
pl.set("Residual Name","Residual");
pl.set("Value Name","Integrand");
pl.set("Test Field Name",fieldName_qedge1);
pl.set("Basis",layout_qedge1);
pl.set("IR",ir);
pl.set<double>("Multiplier", 1.0);
Teuchos::RCP<const std::vector<std::string> > vec
= Teuchos::rcp(new std::vector<std::string>);
pl.set("Field Multipliers", vec);
Teuchos::RCP<PHX::Evaluator<panzer::Traits> > evaluator
= Teuchos::rcp(new panzer::Integrator_BasisTimesVector<panzer::Traits::Residual,panzer::Traits>(pl));
fm.registerEvaluator<panzer::Traits::Residual>(evaluator);
fm.requireField<panzer::Traits::Residual>(*evaluator->evaluatedFields()[0]);
}
std::vector<PHX::index_size_type> derivative_dimensions;
derivative_dimensions.push_back(8);
fm.setKokkosExtendedDataTypeDimensions<panzer::Traits::Jacobian>(derivative_dimensions);
panzer::Traits::SetupData sd;
sd.worksets_ = work_sets;
fm.postRegistrationSetup(sd);
// run tests
/////////////////////////////////////////////////////////////
panzer::Workset & workset = (*work_sets)[0];
workset.alpha = 0.0;
workset.beta = 0.0;
workset.time = 0.0;
workset.evaluate_transient_terms = false;
fm.evaluateFields<panzer::Traits::Residual>(workset);
PHX::MDField<panzer::Traits::Residual::ScalarT,panzer::Cell,panzer::BASIS>
fieldData_qedge1("Residual",basis_qedge1->functional);
fm.getFieldData<panzer::Traits::Residual::ScalarT,panzer::Traits::Residual>(fieldData_qedge1);
TEST_EQUALITY(fieldData_qedge1.dimension(0),1);
TEST_EQUALITY(fieldData_qedge1.dimension(1),4);
// Transformation is [x,y] = F[x_ref,y_ref] = 0.5*[1,1]+0.5*[1,0;0,1]*[x_ref,y_ref]
// therefore transformation matrix is DF^{-T} = 2*[1,0;0,1]
// so curl vector u_ref:Ref_coord=>Ref_Vec transforms with
//
// u(x,y)=DF^{-T}*u_ref(F^{-1}(x,y))
TEST_FLOATING_EQUALITY(fieldData_qedge1(0,0),5.0/12.0,1e-5); // 0 edge basis is [(1-y_ref)/4, 0]
TEST_FLOATING_EQUALITY(fieldData_qedge1(0,2),3.0/4.0,1e-5); // 2 edge basis is [(1+y_ref)/4, 0]
// these two have sign changes because of the mesh topology!
TEST_FLOATING_EQUALITY(fieldData_qedge1(0,1),0.428925006266,1e-5); // 1 edge basis is [(1+x_ref)/4, 0]
TEST_FLOATING_EQUALITY(fieldData_qedge1(0,3),0.344719536524,1e-5); // 3 edge basis is [(1-x_ref)/4, 0]
}
