TEUCHOS_UNIT_TEST(tIterativePreconditionerFactory, inverse_test)
{
// build global (or serial communicator)
#ifdef HAVE_MPI
Epetra_MpiComm Comm(MPI_COMM_WORLD);
#else
Epetra_SerialComm Comm;
#endif
Teko::LinearOp A = build2x2(Comm,1,2,3,4);
RCP<Teko::InverseLibrary> invLib = Teko::InverseLibrary::buildFromStratimikos();
RCP<Teko::InverseFactory> invFact = invLib->getInverseFactory("Amesos");
Teko::LinearOp iP = Teko::buildInverse(*invFact,A);
Thyra::LinearOpTester<double> tester;
tester.dump_all(true);
tester.show_all_tests(true);
{
RCP<Teko::InverseFactory> precOpFact = rcp(new Teko::StaticOpInverseFactory(iP));
RCP<Teko::IterativePreconditionerFactory> precFact = rcp(new Teko::IterativePreconditionerFactory(9,precOpFact));
RCP<Teko::InverseFactory> invFact = rcp(new Teko::PreconditionerInverseFactory(precFact,Teuchos::null));
Teko::LinearOp prec = Teko::buildInverse(*invFact,A);
const bool result = tester.compare( *prec, *iP, Teuchos::ptrFromRef(out));
if (!result) {
out << "Apply 0: FAILURE" << std::endl;
success = false;
}
else
out << "Apply 0: SUCCESS" << std::endl;
}
}
TEUCHOS_UNIT_TEST(assembly_engine, z_basic_epetra_vtpetra)
{
TEUCHOS_ASSERT(tLinearOp!=Teuchos::null);
TEUCHOS_ASSERT(eLinearOp!=Teuchos::null);
TEUCHOS_ASSERT(tVector!=Teuchos::null);
TEUCHOS_ASSERT(eVector!=Teuchos::null);
Thyra::LinearOpTester<double> tester;
tester.set_all_error_tol(1e-14);
tester.show_all_tests(true);
tester.dump_all(true);
tester.num_random_vectors(200);
{
const bool result = tester.compare( *tLinearOp, *eLinearOp, Teuchos::ptrFromRef(out) );
TEST_ASSERT(result);
}
{
const bool result = Thyra::testRelNormDiffErr(
"Tpetra",*tVector,
"Epetra",*eVector,
"linear_properties_error_tol()", 1e-14,
"linear_properties_warning_tol()", 1e-14,
&out);
TEST_ASSERT(result);
}
}
TEUCHOS_UNIT_TEST(tLU2x2InverseOp, exact_test_tpetra)
{
Kokkos::initialize();
// build global (or serial communicator)
RCP<const Teuchos::Comm<int> > Comm = Tpetra::DefaultPlatform::getDefaultPlatform ().getComm ();
Teko::LinearOp A_00 = build2x2(Comm,1,2,3,4);
Teko::LinearOp A_01 = build2x2(Comm,5,6,7,8);
Teko::LinearOp A_02 = build2x2(Comm,9,10,11,12);
Teko::LinearOp A_10 = build2x2(Comm,9,10,11,12);
Teko::LinearOp A_11 = build2x2(Comm,-13,-14,-15,-16);
Teko::LinearOp A_12 = build2x2(Comm,-1,-4,-5,-6);
Teko::LinearOp A_20 = build2x2(Comm,-9,-10,-11,-12);
Teko::LinearOp A_21 = build2x2(Comm,13,14,15,16);
Teko::LinearOp A_22 = build2x2(Comm,1,4,5,6);
Teko::BlockedLinearOp A = Teko::createBlockedOp();
Teko::beginBlockFill(A,3,3);
Teko::setBlock(0,0,A,A_00);
Teko::setBlock(0,1,A,A_01);
Teko::setBlock(0,2,A,A_02);
Teko::setBlock(1,0,A,A_10);
Teko::setBlock(1,1,A,A_11);
Teko::setBlock(1,2,A,A_12);
Teko::setBlock(2,0,A,A_20);
Teko::setBlock(2,1,A,A_21);
Teko::setBlock(2,2,A,A_22);
Teko::endBlockFill(A);
std::string reorderType = "[ [0 1] 2]";
Teuchos::RCP<const Teko::BlockReorderManager> brm = Teko::blockedReorderFromString(reorderType);
Teko::ModifiableLinearOp re_A = Teuchos::rcp_const_cast<Thyra::LinearOpBase<double> >(Teko::buildReorderedLinearOp(*brm,A));
Teko::ModifiableLinearOp final_A = Teuchos::rcp(new Teko::ReorderedLinearOp(brm,re_A));
Thyra::LinearOpTester<double> tester;
tester.dump_all(true);
tester.show_all_tests(true);
{
const bool result = tester.compare( *final_A, *A, Teuchos::ptrFromRef(out));
if (!result) {
out << "Apply: FAILURE" << std::endl;
success = false;
}
else
out << "Apply: SUCCESS" << std::endl;
}
Kokkos::finalize();
}
TEUCHOS_UNIT_TEST(tLU2x2InverseOp, exact_test)
{
// build global (or serial communicator)
#ifdef HAVE_MPI
Epetra_MpiComm Comm(MPI_COMM_WORLD);
#else
Epetra_SerialComm Comm;
#endif
Teko::LinearOp A_00 = build2x2(Comm,1,2,3,4);
Teko::LinearOp A_01 = build2x2(Comm,5,6,7,8);
Teko::LinearOp A_10 = build2x2(Comm,9,10,11,12);
Teko::LinearOp A_11 = build2x2(Comm,-13,-14,-15,-16);
Teko::BlockedLinearOp A = Teko::toBlockedLinearOp(Thyra::block2x2(A_00,A_01,A_10,A_11));
Teko::LinearOp S = build2x2(Comm,26.000000000000000, 28.000000000000004, 30.000000000000000, 32.000000000000000);
Teko::LinearOp iA_00 = build2x2(Comm,-1.000000000000000, 0.500000000000000, 0.749999999999998, -0.249999999999998);
Teko::LinearOp iA_01 = build2x2(Comm,-3.000000000000004, 2.500000000000003, 2.750000000000008, -2.250000000000007);
Teko::LinearOp iA_10 = build2x2(Comm,-1.999999999999999, 1.499999999999999, 1.749999999999999, -1.249999999999999);
Teko::LinearOp iA_11 = build2x2(Comm, 4.000000000000001, -3.500000000000001, -3.750000000000001, 3.250000000000001);
Teko::LinearOp iA = Thyra::block2x2(iA_00,iA_01,iA_10,iA_11);
Thyra::LinearOpTester<double> tester;
tester.dump_all(true);
tester.show_all_tests(true);
{
RCP<Teko::InverseLibrary> invLib = Teko::InverseLibrary::buildFromStratimikos();
RCP<Teko::InverseFactory> invFact = invLib->getInverseFactory("Amesos");
Teko::LinearOp invA_00 = Teko::buildInverse(*invFact,A_00);
Teko::LinearOp invS = Teko::buildInverse(*invFact,S);
Teko::LinearOp invA = Teko::createLU2x2InverseOp(A,invA_00,invA_00,invS,"Approximation");
const bool result = tester.compare( *invA, *iA, &out);
if (!result) {
out << "Apply: FAILURE" << std::endl;
success = false;
}
else
out << "Apply: SUCCESS" << std::endl;
}
}
TEUCHOS_UNIT_TEST(tProbingFactory, invlib_constr)
{
// build global (or serial communicator)
#ifdef HAVE_MPI
Epetra_MpiComm Comm(MPI_COMM_WORLD);
#else
Epetra_SerialComm Comm;
#endif
Teko::LinearOp lo = buildSystem(Comm,10);
Teuchos::ParameterList subList;
subList.set("Type","Probing Preconditioner");
subList.set("Inverse Type","Amesos");
subList.set("Probing Graph Operator",lo);
Teuchos::ParameterList pl;
pl.set("Prober",subList);
Teuchos::RCP<Teko::InverseLibrary> invLib = Teko::InverseLibrary::buildFromParameterList(pl);
Teuchos::RCP<Teko::InverseFactory> proberFactory = invLib->getInverseFactory("Prober");
Teuchos::RCP<Teko::InverseFactory> directSolveFactory = invLib->getInverseFactory("Amesos");
{
Teko::LinearOp probedInverse = Teko::buildInverse(*proberFactory,lo);
Teko::LinearOp invLo = Teko::buildInverse(*directSolveFactory,lo);
Thyra::LinearOpTester<double> tester;
tester.dump_all(true);
tester.show_all_tests(true);
{
const bool result = tester.compare( *probedInverse, *invLo, &out);
if (!result) {
out << "Apply: FAILURE" << std::endl;
success = false;
}
else
out << "Apply: SUCCESS" << std::endl;
}
}
}
TEUCHOS_UNIT_TEST(assembly_engine, z_basic_epetra_vtpetra)
{
PHX::InitializeKokkosDevice();
TEUCHOS_ASSERT(tLinearOp!=Teuchos::null);
TEUCHOS_ASSERT(eLinearOp!=Teuchos::null);
TEUCHOS_ASSERT(tVector!=Teuchos::null);
TEUCHOS_ASSERT(eVector!=Teuchos::null);
Thyra::LinearOpTester<double> tester;
tester.set_all_error_tol(1e-14);
tester.show_all_tests(true);
tester.dump_all(true);
tester.num_random_vectors(200);
{
const bool result = tester.compare( *tLinearOp, *eLinearOp, Teuchos::ptrFromRef(out) );
TEST_ASSERT(result);
}
{
const bool result = Thyra::testRelNormDiffErr(
"Tpetra",*tVector,
"Epetra",*eVector,
"linear_properties_error_tol()", 1e-14,
"linear_properties_warning_tol()", 1e-14,
&out);
TEST_ASSERT(result);
}
// Need to kill global objects so that memory leaks on kokkos ref
// count pointing doesn't trigger test failure.
eLinearOp = Teuchos::null;
tLinearOp = Teuchos::null;
eVector = Teuchos::null;
tVector = Teuchos::null;
PHX::FinalizeKokkosDevice();
}
TEUCHOS_UNIT_TEST_TEMPLATE_1_DECL( SimpleDenseLinearOp, basic,
Scalar )
{
using Teuchos::rcp_dynamic_cast;
typedef ScalarTraits<Scalar> ST;
const RCP<MultiVectorBase<Scalar> > mv =
createSerialMultiVector<Scalar>(g_dim, g_dim/2, ST::one());
const RCP<LinearOpBase<Scalar> > op =
createNonconstSimpleDenseLinearOp<Scalar>(mv);
TEST_EQUALITY(
mv,
rcp_dynamic_cast<SimpleDenseLinearOp<Scalar> >(op)->getNonconstMultiVector()
);
Thyra::LinearOpTester<Scalar> linearOpTester;
linearOpTester.dump_all(g_dumpAll);
TEST_ASSERT(linearOpTester.check(*op, ptrFromRef(out)));
}
TEUCHOS_UNIT_TEST(tProbingFactory, basic_test)
{
// build global (or serial communicator)
#ifdef HAVE_MPI
Epetra_MpiComm Comm(MPI_COMM_WORLD);
#else
Epetra_SerialComm Comm;
#endif
Teko::LinearOp lo = buildSystem(Comm,10);
Teuchos::RCP<Teko::InverseLibrary> invLib = Teko::InverseLibrary::buildFromStratimikos();
Teuchos::RCP<Teko::InverseFactory> directSolveFactory = invLib->getInverseFactory("Amesos");
Teuchos::RCP<Teko::ProbingPreconditionerFactory> probeFact
= rcp(new Teko::ProbingPreconditionerFactory);
probeFact->setGraphOperator(lo);
probeFact->setInverseFactory(directSolveFactory);
RCP<Teko::InverseFactory> invFact = Teuchos::rcp(new Teko::PreconditionerInverseFactory(probeFact,Teuchos::null));
Teko::LinearOp probedInverse = Teko::buildInverse(*invFact,lo);
Teko::LinearOp invLo = Teko::buildInverse(*directSolveFactory,lo);
Thyra::LinearOpTester<double> tester;
tester.dump_all(true);
tester.show_all_tests(true);
{
const bool result = tester.compare( *probedInverse, *invLo, &out);
if (!result) {
out << "Apply: FAILURE" << std::endl;
success = false;
}
else
out << "Apply: SUCCESS" << std::endl;
}
}
bool run_composite_linear_ops_tests(
const Teuchos::RCP<const Teuchos::Comm<Thyra::Ordinal> > comm,
const int n,
const bool useSpmd,
const typename Teuchos::ScalarTraits<Scalar>::magnitudeType &tol,
const bool dumpAll,
Teuchos::FancyOStream *out_arg
)
{
using Teuchos::as;
typedef Teuchos::ScalarTraits<Scalar> ST;
typedef typename ST::magnitudeType ScalarMag;
typedef Teuchos::ScalarTraits<ScalarMag> STM;
using Teuchos::RCP;
using Teuchos::rcp;
using Teuchos::null;
using Teuchos::rcp_const_cast;
using Teuchos::rcp_dynamic_cast;
using Teuchos::dyn_cast;
using Teuchos::OSTab;
using Thyra::relErr;
using Thyra::passfail;
RCP<Teuchos::FancyOStream>
out = rcp(new Teuchos::FancyOStream(rcp(out_arg,false)));
const Teuchos::EVerbosityLevel
verbLevel = dumpAll?Teuchos::VERB_EXTREME:Teuchos::VERB_HIGH;
if (nonnull(out)) *out
<< "\n*** Entering run_composite_linear_ops_tests<"<<ST::name()<<">(...) ...\n";
bool success = true, result;
const ScalarMag warning_tol = ScalarMag(1e-2)*tol, error_tol = tol;
Thyra::LinearOpTester<Scalar> linearOpTester;
linearOpTester.linear_properties_warning_tol(warning_tol);
linearOpTester.linear_properties_error_tol(error_tol);
linearOpTester.adjoint_warning_tol(warning_tol);
linearOpTester.adjoint_error_tol(error_tol);
linearOpTester.dump_all(dumpAll);
Thyra::LinearOpTester<Scalar> symLinearOpTester(linearOpTester);
symLinearOpTester.check_for_symmetry(true);
symLinearOpTester.symmetry_warning_tol(STM::squareroot(warning_tol));
symLinearOpTester.symmetry_error_tol(STM::squareroot(error_tol));
RCP<const Thyra::VectorSpaceBase<Scalar> > space;
if(useSpmd) space = Thyra::defaultSpmdVectorSpace<Scalar>(comm,n,-1);
else space = Thyra::defaultSpmdVectorSpace<Scalar>(n);
if (nonnull(out)) *out
<< "\nUsing a basic vector space described as " << describe(*space,verbLevel) << " ...\n";
if (nonnull(out)) *out << "\nCreating random n x (n/2) multi-vector origA ...\n";
RCP<Thyra::MultiVectorBase<Scalar> >
mvOrigA = createMembers(space,n/2,"origA");
Thyra::seed_randomize<Scalar>(0);
//RTOpPack::show_spmd_apply_op_dump = true;
Thyra::randomize( as<Scalar>(as<Scalar>(-1)*ST::one()), as<Scalar>(as<Scalar>(+1)*ST::one()),
mvOrigA.ptr() );
RCP<const Thyra::LinearOpBase<Scalar> >
origA = mvOrigA;
if (nonnull(out)) *out << "\norigA =\n" << describe(*origA,verbLevel);
//RTOpPack::show_spmd_apply_op_dump = false;
if (nonnull(out)) *out << "\nTesting origA ...\n";
Thyra::seed_randomize<Scalar>(0);
result = linearOpTester.check(*origA, out.ptr());
if(!result) success = false;
if (nonnull(out)) *out
<< "\nCreating implicit scaled linear operator A1 = scale(0.5,origA) ...\n";
RCP<const Thyra::LinearOpBase<Scalar> >
A1 = scale(as<Scalar>(0.5),origA);
if (nonnull(out)) *out << "\nA1 =\n" << describe(*A1,verbLevel);
if (nonnull(out)) *out << "\nTesting A1 ...\n";
Thyra::seed_randomize<Scalar>(0);
result = linearOpTester.check(*A1,out.ptr());
if(!result) success = false;
if (nonnull(out)) *out << "\nTesting that A1.getOp() == origA ...\n";
Thyra::seed_randomize<Scalar>(0);
result = linearOpTester.compare(
*dyn_cast<const Thyra::DefaultScaledAdjointLinearOp<Scalar> >(*A1).getOp(),
*origA,out.ptr());
if(!result) success = false;
{
if (nonnull(out)) *out
<< "\nUnwrapping origA to get non-persisting pointer to origA_1, scalar and transp ...\n";
Scalar scalar;
Thyra::EOpTransp transp;
const Thyra::LinearOpBase<Scalar> *origA_1 = NULL;
unwrap( *origA, &scalar, &transp, &origA_1 );
TEUCHOS_TEST_FOR_EXCEPT( origA_1 == NULL );
if (nonnull(out)) *out << "\nscalar = " << scalar << " == 1 ? ";
result = (scalar == ST::one());
if(!result) success = false;
if (nonnull(out)) *out << passfail(result) << std::endl;
if (nonnull(out)) *out << "\ntransp = " << toString(transp) << " == NOTRANS ? ";
result = (transp == Thyra::NOTRANS);
if(!result) success = false;
if (nonnull(out)) *out << passfail(result) << std::endl;
if (nonnull(out)) *out << "\nTesting that origA_1 == origA ...\n";
Thyra::seed_randomize<Scalar>(0);
result = linearOpTester.compare(*origA_1,*origA,out.ptr());
if(!result) success = false;
}
{
if (nonnull(out)) *out << "\nUnwrapping A1 to get non-persisting pointer to origA_2 ...\n";
Scalar scalar;
Thyra::EOpTransp transp;
const Thyra::LinearOpBase<Scalar> *origA_2 = NULL;
unwrap( *A1, &scalar, &transp, &origA_2 );
TEUCHOS_TEST_FOR_EXCEPT( origA_2 == NULL );
if (nonnull(out)) *out << "\nscalar = " << scalar << " == 0.5 ? ";
result = (scalar == as<Scalar>(0.5));
if(!result) success = false;
if (nonnull(out)) *out << passfail(result) << std::endl;
if (nonnull(out)) *out << "\ntransp = " << toString(transp) << " == NOTRANS ? ";
result = (transp == Thyra::NOTRANS);
if(!result) success = false;
if (nonnull(out)) *out << passfail(result) << std::endl;
if (nonnull(out)) *out << "\nTesting that origA_2 == origA ...\n";
Thyra::seed_randomize<Scalar>(0);
result = linearOpTester.compare(*origA_2,*origA,out.ptr());
if(!result) success = false;
}
if (nonnull(out)) *out << "\nCreating implicit scaled linear operator A2 = adjoint(A1) ...\n";
RCP<const Thyra::LinearOpBase<Scalar> >
A2 = adjoint(A1);
if (nonnull(out)) *out << "\nA2 =\n" << describe(*A2,verbLevel);
if (nonnull(out)) *out << "\nTesting A2 ...\n";
Thyra::seed_randomize<Scalar>(0);
result = linearOpTester.check(*A2,out.ptr());
if(!result) success = false;
if (nonnull(out)) *out << "\nTesting that A2.getOp() == A1 ...\n";
Thyra::seed_randomize<Scalar>(0);
result = linearOpTester.compare(*dyn_cast<const Thyra::DefaultScaledAdjointLinearOp<Scalar> >(*A2).getOp(),*A1,out.ptr());
if(!result) success = false;
if (nonnull(out)) *out << "\nCreating implicit scaled, adjoined linear operator A3 = adjoint(scale(2.0,(A2)) ...\n";
RCP<const Thyra::LinearOpBase<Scalar> >
A3 = adjoint(scale(as<Scalar>(2.0),A2));
if (nonnull(out)) *out << "\nA3 =\n" << describe(*A3,verbLevel);
if (nonnull(out)) *out << "\nTesting A3 ...\n";
Thyra::seed_randomize<Scalar>(0);
result = linearOpTester.check(*A3,out.ptr());
if(!result) success = false;
if (nonnull(out)) *out << "\nTesting that A3 == origA ...\n";
Thyra::seed_randomize<Scalar>(0);
result = linearOpTester.compare(*A3,*origA,out.ptr());
if(!result) success = false;
if (nonnull(out)) *out << "\nCalling all of the rest of the functions for non-const just to test them ...\n";
RCP<Thyra::LinearOpBase<Scalar> >
A4 = nonconstScale(
as<Scalar>(0.25)
,nonconstAdjoint(
nonconstTranspose(
nonconstAdjoint(
nonconstScaleAndAdjoint(
as<Scalar>(4.0)
,Thyra::TRANS
,Teuchos::rcp_const_cast<Thyra::LinearOpBase<Scalar> >(origA)
)
)
)
)
);
if(!ST::isComplex) A4 = nonconstTranspose(nonconstAdjoint(A4)); // Should result in CONJ
if (nonnull(out)) *out << "\nA4 =\n" << describe(*A4,verbLevel);
if (nonnull(out)) *out << "\nTesting A4 ...\n";
Thyra::seed_randomize<Scalar>(0);
result = linearOpTester.check(*A4,out.ptr());
if(!result) success = false;
if (nonnull(out)) *out << "\nCalling all of the rest of the functions for const just to test them ...\n";
RCP<const Thyra::LinearOpBase<Scalar> >
A5 = scale(
as<Scalar>(0.25)
,adjoint(
transpose(
adjoint(
scaleAndAdjoint(
as<Scalar>(4.0)
,Thyra::TRANS
,origA
)
)
)
)
);
if(!ST::isComplex) A5 = transpose(adjoint(A5)); // Should result in CONJ
if (nonnull(out)) *out << "\nA5 =\n" << describe(*A5,verbLevel);
if (nonnull(out)) *out << "\nTesting A5 ...\n";
Thyra::seed_randomize<Scalar>(0);
result = linearOpTester.check(*A5,out.ptr());
if(!result) success = false;
if (nonnull(out)) *out << "\nCreating a multiplied operator A6 = origA^H*A1 ...\n";
RCP<const Thyra::LinearOpBase<Scalar> >
A6 = multiply(adjoint(origA),A1);
if (nonnull(out)) *out << "\nA6 =\n" << describe(*A6,verbLevel);
if (nonnull(out)) *out << "\nTesting A6 ...\n";
Thyra::seed_randomize<Scalar>(0);
result = symLinearOpTester.check(*A6,out.ptr());
if(!result) success = false;
// Note that testing the symmetry above helps to check the transpose mode
// against the non-transpose mode!
#ifdef TEUCHOS_DEBUG
if (nonnull(out)) *out << "\nCreating an invalid multiplied operator A6b = origA*origA (should throw an exception) ...\n\n";
try {
RCP<const Thyra::LinearOpBase<Scalar> >
A6b = multiply(origA,origA);
result = true;
}
TEUCHOS_STANDARD_CATCH_STATEMENTS(true,out.get()?*out:std::cerr,result)
if (nonnull(out))
*out << "\nCaught expected exception : " << (result?"failed\n":"passed\n");
if(result) success = false;
#endif // TEUCHOS_DEBUG
if (nonnull(out)) *out << "\nCreating a non-const multiplied operator A7 = origA^H*A1 ...\n";
RCP<Thyra::LinearOpBase<Scalar> >
A7 = nonconstMultiply(
rcp_const_cast<Thyra::LinearOpBase<Scalar> >(adjoint(origA))
,rcp_const_cast<Thyra::LinearOpBase<Scalar> >(A1)
);
if (nonnull(out)) *out << "\nA7 =\n" << describe(*A7,verbLevel);
if (nonnull(out)) *out << "\nTesting A7 ...\n";
Thyra::seed_randomize<Scalar>(0);
result = symLinearOpTester.check(*A7,out.ptr());
if(!result) success = false;
if (nonnull(out)) *out << "\nCreating an added operator A8 = origA + A1 ...\n";
RCP<const Thyra::LinearOpBase<Scalar> >
A8 = add(origA,A1);
if (nonnull(out)) *out << "\nA8 =\n" << describe(*A8,verbLevel);
if (nonnull(out)) *out << "\nTesting A8 ...\n";
Thyra::seed_randomize<Scalar>(0);
result = linearOpTester.check(*A8,out.ptr());
if(!result) success = false;
if (nonnull(out)) *out << "\nCreating a symmetric subtracted operator A8b = A6 + adjoint(origA)*origA ...\n";
RCP<const Thyra::LinearOpBase<Scalar> >
A8b = subtract(A6,multiply(adjoint(origA),origA));
if (nonnull(out)) *out << "\nA8b =\n" << describe(*A8b,verbLevel);
if (nonnull(out)) *out << "\nTesting A8b ...\n";
Thyra::seed_randomize<Scalar>(0);
result = symLinearOpTester.check(*A8b,out.ptr());
if(!result) success = false;
#ifdef TEUCHOS_DEBUG
if (nonnull(out)) *out << "\nCreating an invalid added operator A8c = origA + adjoint(origA) (should throw an exception) ...\n\n";
try {
RCP<const Thyra::LinearOpBase<Scalar> >
A8c = add(origA,adjoint(origA));
result = true;
}
TEUCHOS_STANDARD_CATCH_STATEMENTS(true,out.get()?*out:std::cerr,result)
if (nonnull(out))
*out << "\nCaught expected exception : " << (result?"failed\n":"passed\n");
if(result) success = false;
#endif // TEUCHOS_DEBUG
RCP<const Thyra::LinearOpBase<Scalar> >
nullOp = null;
if (nonnull(out)) *out << "\nCreating a blocked 2x2 linear operator A9 = [ A6, A1^H; A1, null ] ...\n";
RCP<const Thyra::LinearOpBase<Scalar> >
A9 = Thyra::block2x2<Scalar>(
A6, adjoint(A1)
,A1, nullOp
);
if (nonnull(out)) *out << "\nA9 =\n" << describe(*A9,verbLevel);
if (nonnull(out)) *out << "\nTesting A9 ...\n";
Thyra::seed_randomize<Scalar>(0);
result = symLinearOpTester.check(*A9,out.ptr());
if(!result) success = false;
// Note that testing the symmetry above helps to check the transpose mode
// against the non-transpose mode!
if (nonnull(out)) *out << "\nCreating a blocked 2x2 linear operator A9_a = [ A6, A1^H; A1, null ] using pre-formed range and domain product spaces ...\n";
RCP<Thyra::PhysicallyBlockedLinearOpBase<Scalar> >
A9_a = rcp(new Thyra::DefaultBlockedLinearOp<Scalar>());
A9_a->beginBlockFill(
rcp_dynamic_cast<const Thyra::BlockedLinearOpBase<Scalar> >(A9,true)->productRange()
,rcp_dynamic_cast<const Thyra::BlockedLinearOpBase<Scalar> >(A9,true)->productDomain()
);
A9_a->setBlock(0,0,A6);
A9_a->setBlock(0,1,adjoint(A1));
A9_a->setBlock(1,0,A1);
A9_a->endBlockFill();
if (nonnull(out)) *out << "\nA9_a =\n" << describe(*A9_a,verbLevel);
if (nonnull(out)) *out << "\nTesting A9_a ...\n";
Thyra::seed_randomize<Scalar>(0);
result = symLinearOpTester.check(*A9_a,out.ptr());
if(!result) success = false;
// Note that testing the symmetry above helps to check the transpose mode
// against the non-transpose mode!
if (nonnull(out)) *out << "\nComparing A9 == A9_a ...\n";
Thyra::seed_randomize<Scalar>(0);
result = linearOpTester.compare(*A9,*A9_a,out.ptr());
if(!result) success = false;
if (nonnull(out)) *out << "\nCreating a blocked 2x2 linear operator A9_b = [ A6, A1^H; A1, null ] using flexible fill ...\n";
RCP<Thyra::PhysicallyBlockedLinearOpBase<Scalar> >
A9_b = rcp(new Thyra::DefaultBlockedLinearOp<Scalar>());
A9_b->beginBlockFill();
A9_b->setBlock(0,0,A6);
A9_b->setBlock(0,1,adjoint(A1));
A9_b->setBlock(1,0,A1);
A9_b->endBlockFill();
if (nonnull(out)) *out << "\nA9_b =\n" << describe(*A9_b,verbLevel);
if (nonnull(out)) *out << "\nTesting A9_b ...\n";
Thyra::seed_randomize<Scalar>(0);
result = symLinearOpTester.check(*A9_b,out.ptr());
if(!result) success = false;
// Note that testing the symmetry above helps to check the transpose mode
// against the non-transpose mode!
if (nonnull(out)) *out << "\nComparing A9 == A9_b ...\n";
Thyra::seed_randomize<Scalar>(0);
result = linearOpTester.compare(*A9,*A9_b,out.ptr());
if(!result) success = false;
if (nonnull(out)) *out << "\nCreating a blocked 2x2 linear operator A9a = [ null, A1^H; A1, null ] ...\n";
RCP<const Thyra::LinearOpBase<Scalar> >
A9a = Thyra::block2x2<Scalar>(
nullOp, adjoint(A1),
A1, nullOp
);
if (nonnull(out)) *out << "\nA9a =\n" << describe(*A9a,verbLevel);
if (nonnull(out)) *out << "\nTesting A9a ...\n";
Thyra::seed_randomize<Scalar>(0);
result = symLinearOpTester.check(*A9a,out.ptr());
if(!result) success = false;
// Note that testing the symmetry above helps to check the transpose mode
// against the non-transpose mode!
#ifdef TEUCHOS_DEBUG
if (nonnull(out)) *out << "\nCreating an invalid blocked 2x2 operator A9b = [ A6, A1^H; A1, A1 ] (should throw an exception) ...\n\n";
try {
RCP<const Thyra::LinearOpBase<Scalar> >
A9b = Thyra::block2x2<Scalar>(
A6, adjoint(A1),
A1, A1
);
result = true;
}
TEUCHOS_STANDARD_CATCH_STATEMENTS(true,out.get()?*out:std::cerr,result)
if (nonnull(out))
*out << "\nCaught expected exception : " << (result?"failed\n":"passed\n");
if(result) success = false;
#endif // TEUCHOS_DEBUG
#ifdef TEUCHOS_DEBUG
if (nonnull(out)) *out << "\nCreating an invalid blocked 2x2 operator A9c = [ A1, A1 ; null, null ] (should throw an exception) ...\n\n";
try {
RCP<const Thyra::LinearOpBase<Scalar> >
A9c = Thyra::block2x2<Scalar>(
A1, A1,
nullOp, nullOp
);
result = true;
}
TEUCHOS_STANDARD_CATCH_STATEMENTS(true,out.get()?*out:std::cerr,result)
if (nonnull(out))
*out << "\nCaught expected exception : " << (result?"failed\n":"passed\n");
if(result) success = false;
#endif // TEUCHOS_DEBUG
#ifdef TEUCHOS_DEBUG
if (nonnull(out)) *out << "\nCreating an invalid blocked 2x2 operator A9d = [ A1, null; A1, null ] (should throw an exception) ...\n\n";
try {
RCP<const Thyra::LinearOpBase<Scalar> >
A9d = Thyra::block2x2<Scalar>(
A1, nullOp,
A1, nullOp
);
result = true;
}
TEUCHOS_STANDARD_CATCH_STATEMENTS(true,out.get()?*out:std::cerr,result)
if (nonnull(out))
*out << "\nCaught expected exception : " << (result?"failed\n":"passed\n");
if(result) success = false;
#endif // TEUCHOS_DEBUG
if (nonnull(out)) *out << "\nCreating a blocked 2x1 linear operator A10 = [ A6; A1 ] ...\n";
RCP<const Thyra::LinearOpBase<Scalar> >
A10 = Thyra::block2x1<Scalar>(
A6,
A1
);
if (nonnull(out)) *out << "\nA10 =\n" << describe(*A10,verbLevel);
if (nonnull(out)) *out << "\nTesting A10 ...\n";
Thyra::seed_randomize<Scalar>(0);
result = linearOpTester.check(*A10,out.ptr());
if(!result) success = false;
if (nonnull(out)) *out << "\nCreating a blocked 1x2 linear operator A11 = [ A9, A10 ] ...\n";
RCP<const Thyra::LinearOpBase<Scalar> >
A11 = Thyra::block1x2<Scalar>( A9, A10 );
if (nonnull(out)) *out << "\nA11 =\n" << describe(*A11,verbLevel);
if (nonnull(out)) *out << "\nTesting A11 ...\n";
Thyra::seed_randomize<Scalar>(0);
result = linearOpTester.check(*A11,out.ptr());
if(!result) success = false;
if (nonnull(out)) *out << "\nCreating a zero linear operator A12 = 0 (range and domain spaces of origA) ...\n";
RCP<const Thyra::LinearOpBase<Scalar> >
A12 = Thyra::zero(origA->range(),origA->domain());
if (nonnull(out)) *out << "\nA12 =\n" << describe(*A12,verbLevel);
if (nonnull(out)) *out << "\nTesting A12 ...\n";
Thyra::seed_randomize<Scalar>(0);
result = linearOpTester.check(*A12,out.ptr());
if(!result) success = false;
if (nonnull(out)) *out << "\nCreating a blocked 2x2 linear operator A13 = [ zero, A1^H; A1, zero ] ...\n";
RCP<const Thyra::LinearOpBase<Scalar> >
A13 = Thyra::block2x2<Scalar>(
Thyra::zero(A1->domain(),A1->domain()), adjoint(A1),
A1, Thyra::zero(A1->range(),A1->range())
);
if (nonnull(out)) *out << "\nA13 =\n" << describe(*A13,verbLevel);
if (nonnull(out)) *out << "\nComparing A9a == A13 ...\n";
Thyra::seed_randomize<Scalar>(0);
result = linearOpTester.compare(*A9a,*A13,out.ptr());
if(!result) success = false;
if (nonnull(out)) *out << "\nCreating a zero linear operator A14 = I (range space of origA) ...\n";
RCP<const Thyra::LinearOpBase<Scalar> >
A14 = Thyra::identity(origA->range());
if (nonnull(out)) *out << "\nA14 =\n" << describe(*A14,verbLevel);
if (nonnull(out)) *out << "\nTesting A14 ...\n";
Thyra::seed_randomize<Scalar>(0);
result = symLinearOpTester.check(*A14,out.ptr());
if(!result) success = false;
if (nonnull(out)) *out << "\n*** Leaving run_composite_linear_ops_tests<"<<ST::name()<<">(...) ...\n";
return success;
} // end run_composite_linear_ops_tests() [Doxygen looks for this!]
int exampleImplicitlyComposedLinearOperators(
const int n0,
const int n1,
const int n2,
Teuchos::FancyOStream &out,
const Teuchos::EVerbosityLevel verbLevel,
typename Teuchos::ScalarTraits<Scalar>::magnitudeType errorTol,
const bool testAdjoint
)
{
// Using and other declarations
typedef Teuchos::ScalarTraits<Scalar> ST;
using Teuchos::as;
using Teuchos::RCP;
using Teuchos::OSTab;
using Thyra::VectorSpaceBase;
using Thyra::VectorBase;
using Thyra::MultiVectorBase;
using Thyra::LinearOpBase;
using Thyra::defaultSpmdVectorSpace;
using Thyra::randomize;
using Thyra::identity;
using Thyra::diagonal;
using Thyra::multiply;
using Thyra::add;
using Thyra::subtract;
using Thyra::scale;
using Thyra::adjoint;
using Thyra::block1x2;
using Thyra::block2x2;
using Thyra::block2x2;
out << "\n***"
<< "\n*** Demonstrating building linear operators for scalar type "
<< ST::name()
<< "\n***\n";
OSTab tab(out);
//
// A) Set up the basic objects and other inputs to build the implicitly
// composed linear operators.
//
// Create serial vector spaces in this case
const RCP<const VectorSpaceBase<Scalar> >
space0 = defaultSpmdVectorSpace<Scalar>(n0),
space1 = defaultSpmdVectorSpace<Scalar>(n1),
space2 = defaultSpmdVectorSpace<Scalar>(n2);
// Create the component linear operators first as multi-vectors
const RCP<MultiVectorBase<Scalar> >
mvA = createMembers(space2, n0, "A"),
mvB = createMembers(space0, n2, "B"),
mvC = createMembers(space0, n0, "C"),
mvE = createMembers(space0, n1, "E"),
mvF = createMembers(space0, n1, "F"),
mvJ = createMembers(space2, n1, "J"),
mvK = createMembers(space1, n2, "K"),
mvL = createMembers(space2, n1, "L"),
mvN = createMembers(space0, n1, "N"),
mvP = createMembers(space2, n1, "P"),
mvQ = createMembers(space0, n2, "Q");
// Create the vector diagonal for D
const RCP<VectorBase<Scalar> > d = createMember(space2);
// Get the constants
const Scalar
one = 1.0,
beta = 2.0,
gamma = 3.0,
eta = 4.0;
// Randomize the values in the Multi-Vector
randomize( -one, +one, mvA.ptr() );
randomize( -one, +one, mvB.ptr() );
randomize( -one, +one, mvC.ptr() );
randomize( -one, +one, d.ptr() );
randomize( -one, +one, mvE.ptr() );
randomize( -one, +one, mvF.ptr() );
randomize( -one, +one, mvJ.ptr() );
randomize( -one, +one, mvK.ptr() );
randomize( -one, +one, mvL.ptr() );
randomize( -one, +one, mvN.ptr() );
randomize( -one, +one, mvP.ptr() );
randomize( -one, +one, mvQ.ptr() );
// Get the linear operator forms of the basic component linear operators
const RCP<const LinearOpBase<Scalar> >
A = mvA,
B = mvB,
C = mvC,
E = mvE,
F = mvF,
J = mvJ,
K = mvK,
L = mvL,
N = mvN,
P = mvP,
Q = mvQ;
out << describe(*A, verbLevel);
out << describe(*B, verbLevel);
out << describe(*C, verbLevel);
out << describe(*E, verbLevel);
out << describe(*F, verbLevel);
out << describe(*J, verbLevel);
out << describe(*K, verbLevel);
out << describe(*L, verbLevel);
out << describe(*N, verbLevel);
out << describe(*P, verbLevel);
out << describe(*Q, verbLevel);
//
// B) Create the composed linear operators
//
// I
const RCP<const LinearOpBase<Scalar> > I = identity(space1, "I");
// D = diag(d)
const RCP<const LinearOpBase<Scalar> > D = diagonal(d, "D");
// M00 = [ gama*B*A + C, E + F ] ^H
// [ J^H * A, I ]
const RCP<const LinearOpBase<Scalar> > M00 =
adjoint(
block2x2(
add( scale(gamma,multiply(B,A)), C ), add( E, F ),
multiply(adjoint(J),A), I
),
"M00"
);
out << "\nM00 = " << describe(*M00, verbLevel);
// M01 = beta * [ Q ]
// [ K ]
const RCP<const LinearOpBase<Scalar> > M01 =
scale(
beta,
block2x1( Q, K ),
"M01"
);
out << "\nM01 = " << describe(*M01, verbLevel);
// M10 = [ L * N^H, eta*P ]
const RCP<const LinearOpBase<Scalar> > M10 =
block1x2(
multiply(L,adjoint(N)), scale(eta,P),
"M10"
);
out << "\nM10 = " << describe(*M10, verbLevel);
// M11 = D - Q^H*Q
const RCP<const LinearOpBase<Scalar> > M11 =
subtract( D, multiply(adjoint(Q),Q), "M11" );
out << "\nM11 = " << describe(*M11, verbLevel);
// M = [ M00, M01 ]
// [ M10, M11 ]
const RCP<const LinearOpBase<Scalar> > M =
block2x2(
M00, M01,
M10, M11,
"M"
);
out << "\nM = " << describe(*M, verbLevel);
//
// C) Test the final composed operator
//
Thyra::LinearOpTester<Scalar> linearOpTester;
linearOpTester.set_all_error_tol(errorTol);
linearOpTester.check_adjoint(testAdjoint);
if (as<int>(verbLevel) >= as<int>(Teuchos::VERB_HIGH))
linearOpTester.show_all_tests(true);
if (as<int>(verbLevel) >= as<int>(Teuchos::VERB_EXTREME))
linearOpTester.dump_all(true);
const bool result = linearOpTester.check(*M,&out);
return result;
}
TEUCHOS_UNIT_TEST(tProbingFactory, parameterlist_constr)
{
// build global (or serial communicator)
#ifdef HAVE_MPI
Epetra_MpiComm Comm(MPI_COMM_WORLD);
#else
Epetra_SerialComm Comm;
#endif
Teko::LinearOp lo = buildSystem(Comm,10);
Teuchos::RCP<Teko::InverseLibrary> invLib = Teko::InverseLibrary::buildFromStratimikos();
Teuchos::RCP<Teko::InverseFactory> directSolveFactory = invLib->getInverseFactory("Amesos");
{
Teuchos::ParameterList pl;
pl.set("Inverse Type","Amesos");
pl.set("Probing Graph Operator",lo);
Teuchos::RCP<Teko::ProbingPreconditionerFactory> probeFact
= rcp(new Teko::ProbingPreconditionerFactory);
probeFact->initializeFromParameterList(pl);
RCP<Teko::InverseFactory> invFact = Teuchos::rcp(new Teko::PreconditionerInverseFactory(probeFact,Teuchos::null));
Teko::LinearOp probedInverse = Teko::buildInverse(*invFact,lo);
Teko::LinearOp invLo = Teko::buildInverse(*directSolveFactory,lo);
Thyra::LinearOpTester<double> tester;
tester.dump_all(true);
tester.show_all_tests(true);
{
const bool result = tester.compare( *probedInverse, *invLo, &out);
if (!result) {
out << "Apply: FAILURE" << std::endl;
success = false;
}
else
out << "Apply: SUCCESS" << std::endl;
}
}
{
Teuchos::RCP<const Epetra_CrsGraph> theGraph
= rcpFromRef(rcp_dynamic_cast<const Epetra_CrsMatrix>(Thyra::get_Epetra_Operator(*lo))->Graph());
Teuchos::ParameterList pl;
pl.set("Inverse Type","Amesos");
pl.set("Probing Graph",theGraph);
Teuchos::RCP<Teko::ProbingPreconditionerFactory> probeFact
= rcp(new Teko::ProbingPreconditionerFactory);
probeFact->initializeFromParameterList(pl);
RCP<Teko::InverseFactory> invFact = Teuchos::rcp(new Teko::PreconditionerInverseFactory(probeFact,Teuchos::null));
Teko::LinearOp probedInverse = Teko::buildInverse(*invFact,lo);
Teko::LinearOp invLo = Teko::buildInverse(*directSolveFactory,lo);
Thyra::LinearOpTester<double> tester;
tester.dump_all(true);
tester.show_all_tests(true);
{
const bool result = tester.compare( *probedInverse, *invLo, &out);
if (!result) {
out << "Apply: FAILURE" << std::endl;
success = false;
}
else
out << "Apply: SUCCESS" << std::endl;
}
}
}
