46 #ifndef MUELU_RAPFACTORY_DEF_HPP
47 #define MUELU_RAPFACTORY_DEF_HPP
52 #include <Xpetra_Matrix.hpp>
53 #include <Xpetra_MatrixFactory.hpp>
54 #include <Xpetra_MatrixMatrix.hpp>
55 #include <Xpetra_MatrixUtils.hpp>
56 #include <Xpetra_TripleMatrixMultiply.hpp>
57 #include <Xpetra_Vector.hpp>
58 #include <Xpetra_VectorFactory.hpp>
64 #include "MueLu_PerfUtils.hpp"
70 template <
class Scalar,
class LocalOrdinal,
class GlobalOrdinal,
class Node>
72 : hasDeclaredInput_(false) { }
74 template <
class Scalar,
class LocalOrdinal,
class GlobalOrdinal,
class Node>
76 RCP<ParameterList> validParamList = rcp(
new ParameterList());
78 #define SET_VALID_ENTRY(name) validParamList->setEntry(name, MasterList::getEntry(name))
83 #undef SET_VALID_ENTRY
84 validParamList->set< RCP<const FactoryBase> >(
"A",
null,
"Generating factory of the matrix A used during the prolongator smoothing process");
85 validParamList->set< RCP<const FactoryBase> >(
"P",
null,
"Prolongator factory");
86 validParamList->set< RCP<const FactoryBase> >(
"R",
null,
"Restrictor factory");
88 validParamList->set<
bool > (
"CheckMainDiagonal",
false,
"Check main diagonal for zeros");
89 validParamList->set<
bool > (
"RepairMainDiagonal",
false,
"Repair zeros on main diagonal");
92 ParameterList norecurse;
93 norecurse.disableRecursiveValidation();
94 validParamList->set<ParameterList> (
"matrixmatrix: kernel params", norecurse,
"MatrixMatrix kernel parameters");
96 return validParamList;
99 template <
class Scalar,
class LocalOrdinal,
class GlobalOrdinal,
class Node>
101 const Teuchos::ParameterList& pL = GetParameterList();
102 if (pL.get<
bool>(
"transpose: use implicit") ==
false)
103 Input(coarseLevel,
"R");
105 Input(fineLevel,
"A");
106 Input(coarseLevel,
"P");
109 for (std::vector<RCP<const FactoryBase> >::const_iterator it = transferFacts_.begin(); it != transferFacts_.end(); ++it)
110 (*it)->CallDeclareInput(coarseLevel);
112 hasDeclaredInput_ =
true;
115 template <
class Scalar,
class LocalOrdinal,
class GlobalOrdinal,
class Node>
117 const bool doTranspose =
true;
118 const bool doFillComplete =
true;
119 const bool doOptimizeStorage =
true;
122 std::ostringstream levelstr;
127 "MueLu::RAPFactory::Build(): CallDeclareInput has not been called before Build!");
129 const Teuchos::ParameterList& pL = GetParameterList();
130 RCP<Matrix> A = Get< RCP<Matrix> >(fineLevel,
"A");
131 RCP<Matrix> P = Get< RCP<Matrix> >(coarseLevel,
"P"), AP, Ac;
133 bool isEpetra = A->getRowMap()->lib() == Xpetra::UseEpetra;
134 #ifdef KOKKOS_ENABLE_CUDA
135 bool isCuda =
typeid(
Node).name() ==
typeid(Kokkos::Compat::KokkosCudaWrapperNode).name();
140 if (pL.get<
bool>(
"rap: triple product") ==
false || isEpetra || isCuda) {
141 if (pL.get<
bool>(
"rap: triple product") && isEpetra)
142 GetOStream(
Warnings1) <<
"Switching from triple product to R x (A x P) since triple product has not been implemented for Epetra.\n";
143 #ifdef KOKKOS_ENABLE_CUDA
144 if (pL.get<
bool>(
"rap: triple product") && isCuda)
145 GetOStream(
Warnings1) <<
"Switching from triple product to R x (A x P) since triple product has not been implemented for Cuda.\n";
149 RCP<ParameterList> APparams = rcp(
new ParameterList);
150 if(pL.isSublist(
"matrixmatrix: kernel params"))
151 APparams->sublist(
"matrixmatrix: kernel params") = pL.sublist(
"matrixmatrix: kernel params");
154 APparams->set(
"compute global constants: temporaries",APparams->get(
"compute global constants: temporaries",
false));
155 APparams->set(
"compute global constants",APparams->get(
"compute global constants",
false));
157 if (coarseLevel.IsAvailable(
"AP reuse data",
this)) {
158 GetOStream(
static_cast<MsgType>(
Runtime0 |
Test)) <<
"Reusing previous AP data" << std::endl;
160 APparams = coarseLevel.Get< RCP<ParameterList> >(
"AP reuse data",
this);
162 if (APparams->isParameter(
"graph"))
163 AP = APparams->get< RCP<Matrix> >(
"graph");
169 AP = MatrixMatrix::Multiply(*A, !doTranspose, *P, !doTranspose, AP, GetOStream(
Statistics2),
170 doFillComplete, doOptimizeStorage, labelstr+
std::string(
"MueLu::A*P-")+levelstr.str(), APparams);
174 RCP<ParameterList> RAPparams = rcp(
new ParameterList);
175 if(pL.isSublist(
"matrixmatrix: kernel params"))
176 RAPparams->sublist(
"matrixmatrix: kernel params") = pL.sublist(
"matrixmatrix: kernel params");
178 if (coarseLevel.IsAvailable(
"RAP reuse data",
this)) {
179 GetOStream(
static_cast<MsgType>(
Runtime0 |
Test)) <<
"Reusing previous RAP data" << std::endl;
181 RAPparams = coarseLevel.Get< RCP<ParameterList> >(
"RAP reuse data",
this);
183 if (RAPparams->isParameter(
"graph"))
184 Ac = RAPparams->get< RCP<Matrix> >(
"graph");
188 Ac->SetMaxEigenvalueEstimate(-Teuchos::ScalarTraits<SC>::one());
192 RAPparams->set(
"compute global constants: temporaries",RAPparams->get(
"compute global constants: temporaries",
false));
193 RAPparams->set(
"compute global constants",
true);
199 if (pL.get<
bool>(
"transpose: use implicit") ==
true) {
202 Ac = MatrixMatrix::Multiply(*P, doTranspose, *AP, !doTranspose, Ac, GetOStream(
Statistics2),
203 doFillComplete, doOptimizeStorage, labelstr+
std::string(
"MueLu::R*(AP)-implicit-")+levelstr.str(), RAPparams);
206 RCP<Matrix> R = Get< RCP<Matrix> >(coarseLevel,
"R");
210 Ac = MatrixMatrix::Multiply(*R, !doTranspose, *AP, !doTranspose, Ac, GetOStream(
Statistics2),
211 doFillComplete, doOptimizeStorage, labelstr+
std::string(
"MueLu::R*(AP)-explicit-")+levelstr.str(), RAPparams);
214 Teuchos::ArrayView<const double> relativeFloor = pL.get<Teuchos::Array<double> >(
"rap: relative diagonal floor")();
215 if(relativeFloor.size() > 0) {
216 Xpetra::MatrixUtils<SC,LO,GO,NO>::RelativeDiagonalBoost(Ac, relativeFloor,GetOStream(
Statistics2));
219 bool repairZeroDiagonals = pL.get<
bool>(
"RepairMainDiagonal") || pL.get<
bool>(
"rap: fix zero diagonals");
220 bool checkAc = pL.get<
bool>(
"CheckMainDiagonal")|| pL.get<
bool>(
"rap: fix zero diagonals"); ;
221 if (checkAc || repairZeroDiagonals)
222 Xpetra::MatrixUtils<SC,LO,GO,NO>::CheckRepairMainDiagonal(Ac, repairZeroDiagonals, GetOStream(
Warnings1));
225 RCP<ParameterList> params = rcp(
new ParameterList());;
226 params->set(
"printLoadBalancingInfo",
true);
227 params->set(
"printCommInfo",
true);
231 if(!Ac.is_null()) {std::ostringstream oss; oss <<
"A_" << coarseLevel.GetLevelID(); Ac->setObjectLabel(oss.str());}
232 Set(coarseLevel,
"A", Ac);
234 APparams->set(
"graph", AP);
235 Set(coarseLevel,
"AP reuse data", APparams);
236 RAPparams->set(
"graph", Ac);
237 Set(coarseLevel,
"RAP reuse data", RAPparams);
239 RCP<ParameterList> RAPparams = rcp(
new ParameterList);
240 if(pL.isSublist(
"matrixmatrix: kernel params"))
241 RAPparams->sublist(
"matrixmatrix: kernel params") = pL.sublist(
"matrixmatrix: kernel params");
243 if (coarseLevel.IsAvailable(
"RAP reuse data",
this)) {
244 GetOStream(
static_cast<MsgType>(
Runtime0 |
Test)) <<
"Reusing previous RAP data" << std::endl;
246 RAPparams = coarseLevel.Get< RCP<ParameterList> >(
"RAP reuse data",
this);
248 if (RAPparams->isParameter(
"graph"))
249 Ac = RAPparams->get< RCP<Matrix> >(
"graph");
253 Ac->SetMaxEigenvalueEstimate(-Teuchos::ScalarTraits<SC>::one());
257 RAPparams->set(
"compute global constants: temporaries",RAPparams->get(
"compute global constants: temporaries",
false));
258 RAPparams->set(
"compute global constants",
true);
260 if (pL.get<
bool>(
"transpose: use implicit") ==
true) {
262 Ac = MatrixFactory::Build(P->getDomainMap(), Teuchos::as<LO>(0));
266 Xpetra::TripleMatrixMultiply<SC,LO,GO,NO>::
267 MultiplyRAP(*P, doTranspose, *A, !doTranspose, *P, !doTranspose, *Ac, doFillComplete,
268 doOptimizeStorage, labelstr+
std::string(
"MueLu::R*A*P-implicit-")+levelstr.str(),
272 RCP<Matrix> R = Get< RCP<Matrix> >(coarseLevel,
"R");
273 Ac = MatrixFactory::Build(R->getRowMap(), Teuchos::as<LO>(0));
277 Xpetra::TripleMatrixMultiply<SC,LO,GO,NO>::
278 MultiplyRAP(*R, !doTranspose, *A, !doTranspose, *P, !doTranspose, *Ac, doFillComplete,
279 doOptimizeStorage, labelstr+
std::string(
"MueLu::R*A*P-explicit-")+levelstr.str(),
283 Teuchos::ArrayView<const double> relativeFloor = pL.get<Teuchos::Array<double> >(
"rap: relative diagonal floor")();
284 if(relativeFloor.size() > 0) {
285 Xpetra::MatrixUtils<SC,LO,GO,NO>::RelativeDiagonalBoost(Ac, relativeFloor,GetOStream(
Statistics2));
288 bool repairZeroDiagonals = pL.get<
bool>(
"RepairMainDiagonal") || pL.get<
bool>(
"rap: fix zero diagonals");
289 bool checkAc = pL.get<
bool>(
"CheckMainDiagonal")|| pL.get<
bool>(
"rap: fix zero diagonals"); ;
290 if (checkAc || repairZeroDiagonals)
291 Xpetra::MatrixUtils<SC,LO,GO,NO>::CheckRepairMainDiagonal(Ac, repairZeroDiagonals, GetOStream(
Warnings1));
296 RCP<ParameterList> params = rcp(
new ParameterList());;
297 params->set(
"printLoadBalancingInfo",
true);
298 params->set(
"printCommInfo",
true);
302 if(!Ac.is_null()) {std::ostringstream oss; oss <<
"A_" << coarseLevel.GetLevelID(); Ac->setObjectLabel(oss.str());}
303 Set(coarseLevel,
"A", Ac);
305 RAPparams->set(
"graph", Ac);
306 Set(coarseLevel,
"RAP reuse data", RAPparams);
312 if (transferFacts_.begin() != transferFacts_.end()) {
316 for (std::vector<RCP<const FactoryBase> >::const_iterator it = transferFacts_.begin(); it != transferFacts_.end(); ++it) {
317 RCP<const FactoryBase> fac = *it;
318 GetOStream(
Runtime0) <<
"RAPFactory: call transfer factory: " << fac->description() << std::endl;
319 fac->CallBuild(coarseLevel);
354 template <
class Scalar,
class LocalOrdinal,
class GlobalOrdinal,
class Node>
357 TEUCHOS_TEST_FOR_EXCEPTION(Teuchos::rcp_dynamic_cast<const TwoLevelFactoryBase>(factory) == Teuchos::null,
Exceptions::BadCast,
358 "MueLu::RAPFactory::AddTransferFactory: Transfer factory is not derived from TwoLevelFactoryBase. "
359 "This is very strange. (Note: you can remove this exception if there's a good reason for)");
360 TEUCHOS_TEST_FOR_EXCEPTION(hasDeclaredInput_,
Exceptions::RuntimeError,
"MueLu::RAPFactory::AddTransferFactory: Factory is being added after we have already declared input");
361 transferFacts_.push_back(factory);
366 #define MUELU_RAPFACTORY_SHORT
367 #endif // MUELU_RAPFACTORY_DEF_HPP