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lifted quotient extractor from ADDs to BDDs

tempestpy_adaptions
dehnert 7 years ago
parent
f55fab0924
commit
334ed077fd
1 changed files with 35 additions and 28 deletions
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  1. 61
      src/storm/storage/dd/bisimulation/QuotientExtractor.cpp

61
src/storm/storage/dd/bisimulation/QuotientExtractor.cpp
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@ -226,7 +226,7 @@ namespace storm {
template<storm::dd::DdType DdType, typename ValueType>
class InternalSparseQuotientExtractorBase {
public:
InternalSparseQuotientExtractorBase(storm::models::symbolic::Model<DdType, ValueType> const& model, Partition<DdType, ValueType> const& partition, storm::dd::Bdd<DdType> const& representatives) : manager(model.getManager()), isNondeterministic(false), partition(partition), representatives(representatives), matrixEntriesCreated(false) {
InternalSparseQuotientExtractorBase(storm::models::symbolic::Model<DdType, ValueType> const& model, storm::dd::Bdd<DdType> const& partitionBdd, storm::dd::Bdd<DdType> const& representatives, uint64_t numberOfBlocks) : manager(model.getManager()), isNondeterministic(false), partitionBdd(partitionBdd), numberOfBlocks(numberOfBlocks), representatives(representatives), matrixEntriesCreated(false) {
// Create cubes.
rowVariablesCube = manager.getBddOne();
for (auto const& variable : model.getRowVariables()) {
@ -251,6 +251,8 @@ namespace storm {
if (this->isNondeterministic) {
this->nondeterminismOdd = (model.getQualitativeTransitionMatrix().existsAbstract(model.getColumnVariables()) && this->representatives).createOdd();
}
STORM_LOG_TRACE("Partition has " << partitionBdd.existsAbstract(model.getRowVariables()).getNonZeroCount() << " states in " << this->numberOfBlocks << " blocks.");
}
storm::dd::Odd const& getOdd() const {
@ -274,7 +276,7 @@ namespace storm {
uint64_t rowCounter = 0;
uint64_t lastState = this->isNondeterministic ? rowToState[rowPermutation.front()] : 0;
storm::storage::SparseMatrixBuilder<ValueType> builder(matrixEntries.size(), partition.getNumberOfBlocks(), 0, true, this->isNondeterministic);
storm::storage::SparseMatrixBuilder<ValueType> builder(matrixEntries.size(), this->numberOfBlocks, 0, true, this->isNondeterministic);
if (this->isNondeterministic) {
builder.newRowGroup(0);
}
@ -337,7 +339,8 @@ namespace storm {
storm::dd::Bdd<DdType> nondeterminismVariablesCube;
// Information about the state partition.
Partition<DdType, ValueType> partition;
storm::dd::Bdd<DdType> partitionBdd;
uint64_t numberOfBlocks;
storm::dd::Bdd<DdType> representatives;
storm::dd::Odd odd;
storm::dd::Odd nondeterminismOdd;
@ -355,28 +358,25 @@ namespace storm {
template<typename ValueType>
class InternalSparseQuotientExtractor<storm::dd::DdType::CUDD, ValueType> : public InternalSparseQuotientExtractorBase<storm::dd::DdType::CUDD, ValueType> {
public:
InternalSparseQuotientExtractor(storm::models::symbolic::Model<storm::dd::DdType::CUDD, ValueType> const& model, Partition<storm::dd::DdType::CUDD, ValueType> const& partition, storm::dd::Bdd<storm::dd::DdType::CUDD> const& representatives) : InternalSparseQuotientExtractorBase<storm::dd::DdType::CUDD, ValueType>(model, partition, representatives), ddman(this->manager.getInternalDdManager().getCuddManager().getManager()) {
STORM_LOG_ASSERT(this->partition.storedAsAdd(), "Expected partition to be stored as an ADD.");
InternalSparseQuotientExtractor(storm::models::symbolic::Model<storm::dd::DdType::CUDD, ValueType> const& model, storm::dd::Bdd<storm::dd::DdType::CUDD> const& partitionBdd, storm::dd::Bdd<storm::dd::DdType::CUDD> const& representatives, uint64_t numberOfBlocks) : InternalSparseQuotientExtractorBase<storm::dd::DdType::CUDD, ValueType>(model, partitionBdd, representatives, numberOfBlocks), ddman(this->manager.getInternalDdManager().getCuddManager().getManager()) {
this->createBlockToOffsetMapping();
}
storm::storage::SparseMatrix<ValueType> extractTransitionMatrix(storm::dd::Add<storm::dd::DdType::CUDD, ValueType> const& transitionMatrix) {
// Create the number of rows necessary for the matrix.
STORM_LOG_TRACE("Partition has " << this->partition.getNumberOfStates() << " states in " << this->partition.getNumberOfBlocks() << " blocks.");
this->createMatrixEntryStorage();
extractTransitionMatrixRec(transitionMatrix.getInternalAdd().getCuddDdNode(), this->isNondeterministic ? this->nondeterminismOdd : this->odd, 0, this->partition.asAdd().getInternalAdd().getCuddDdNode(), this->representatives.getInternalBdd().getCuddDdNode(), this->allSourceVariablesCube.getInternalBdd().getCuddDdNode(), this->nondeterminismVariablesCube.getInternalBdd().getCuddDdNode(), this->isNondeterministic ? &this->odd : nullptr, 0);
extractTransitionMatrixRec(transitionMatrix.getInternalAdd().getCuddDdNode(), this->isNondeterministic ? this->nondeterminismOdd : this->odd, 0, this->partitionBdd.getInternalBdd().getCuddDdNode(), this->representatives.getInternalBdd().getCuddDdNode(), this->allSourceVariablesCube.getInternalBdd().getCuddDdNode(), this->nondeterminismVariablesCube.getInternalBdd().getCuddDdNode(), this->isNondeterministic ? &this->odd : nullptr, 0);
return this->createMatrixFromEntries();
}
private:
void createBlockToOffsetMapping() {
this->createBlockToOffsetMappingRec(this->partition.asAdd().getInternalAdd().getCuddDdNode(), this->representatives.getInternalBdd().getCuddDdNode(), this->rowVariablesCube.getInternalBdd().getCuddDdNode(), this->odd, 0);
STORM_LOG_ASSERT(blockToOffset.size() == this->partition.getNumberOfBlocks(), "Mismatching block-to-offset mapping: " << blockToOffset.size() << " vs. " << this->partition.getNumberOfBlocks() << ".");
this->createBlockToOffsetMappingRec(this->partitionBdd.getInternalBdd().getCuddDdNode(), this->representatives.getInternalBdd().getCuddDdNode(), this->rowVariablesCube.getInternalBdd().getCuddDdNode(), this->odd, 0);
STORM_LOG_ASSERT(blockToOffset.size() == this->numberOfBlocks, "Mismatching block-to-offset mapping: " << blockToOffset.size() << " vs. " << this->numberOfBlocks << ".");
}
void createBlockToOffsetMappingRec(DdNodePtr partitionNode, DdNodePtr representativesNode, DdNodePtr variables, storm::dd::Odd const& odd, uint64_t offset) {
STORM_LOG_ASSERT(partitionNode != Cudd_ReadZero(ddman) || representativesNode == Cudd_ReadLogicZero(ddman), "Expected representative to be zero if the partition is zero.");
STORM_LOG_ASSERT(partitionNode != Cudd_ReadLogicZero(ddman) || representativesNode == Cudd_ReadLogicZero(ddman), "Expected representative to be zero if the partition is zero.");
if (representativesNode == Cudd_ReadLogicZero(ddman)) {
return;
}
@ -389,9 +389,14 @@ namespace storm {
STORM_LOG_ASSERT(!odd.isTerminalNode(), "Expected non-terminal node.");
DdNodePtr partitionT;
DdNodePtr partitionE;
if (Cudd_NodeReadIndex(partitionNode) == Cudd_NodeReadIndex(variables) + 1) {
if (Cudd_NodeReadIndex(partitionNode) == Cudd_NodeReadIndex(variables)) {
partitionT = Cudd_T(partitionNode);
partitionE = Cudd_E(partitionNode);
if (Cudd_IsComplement(partitionNode)) {
partitionE = Cudd_Not(partitionE);
partitionT = Cudd_Not(partitionT);
}
} else {
partitionT = partitionE = partitionNode;
}
@ -401,14 +406,14 @@ namespace storm {
if (Cudd_NodeReadIndex(representativesNode) == Cudd_NodeReadIndex(variables)) {
representativesT = Cudd_T(representativesNode);
representativesE = Cudd_E(representativesNode);
} else {
representativesT = representativesE = representativesNode;
}
if (representativesT != representativesE && Cudd_IsComplement(representativesNode)) {
if (Cudd_IsComplement(representativesNode)) {
representativesE = Cudd_Not(representativesE);
representativesT = Cudd_Not(representativesT);
}
} else {
representativesT = representativesE = representativesNode;
}
createBlockToOffsetMappingRec(partitionE, representativesE, Cudd_T(variables), odd.getElseSuccessor(), offset);
createBlockToOffsetMappingRec(partitionT, representativesT, Cudd_T(variables), odd.getThenSuccessor(), offset + odd.getElseOffset());
@ -487,10 +492,15 @@ namespace storm {
DdNodePtr targetT;
DdNodePtr targetE;
if (Cudd_NodeReadIndex(targetPartitionNode) == Cudd_NodeReadIndex(variables) + 1) {
if (Cudd_NodeReadIndex(targetPartitionNode) == Cudd_NodeReadIndex(variables)) {
// Node was not skipped in target partition.
targetT = Cudd_T(targetPartitionNode);
targetE = Cudd_E(targetPartitionNode);
if (Cudd_IsComplement(targetPartitionNode)) {
targetT = Cudd_Not(targetT);
targetE = Cudd_Not(targetE);
}
} else {
// Node was skipped in target partition.
targetT = targetE = targetPartitionNode;
@ -529,23 +539,21 @@ namespace storm {
template<typename ValueType>
class InternalSparseQuotientExtractor<storm::dd::DdType::Sylvan, ValueType> : public InternalSparseQuotientExtractorBase<storm::dd::DdType::Sylvan, ValueType> {
public:
InternalSparseQuotientExtractor(storm::models::symbolic::Model<storm::dd::DdType::Sylvan, ValueType> const& model, Partition<storm::dd::DdType::Sylvan, ValueType> const& partition, storm::dd::Bdd<storm::dd::DdType::Sylvan> const& representatives) : InternalSparseQuotientExtractorBase<storm::dd::DdType::Sylvan, ValueType>(model, partition, representatives) {
STORM_LOG_ASSERT(partition.storedAsBdd(), "Expected partition stored as BDD.");
InternalSparseQuotientExtractor(storm::models::symbolic::Model<storm::dd::DdType::Sylvan, ValueType> const& model, storm::dd::Bdd<storm::dd::DdType::Sylvan> const& partitionBdd, storm::dd::Bdd<storm::dd::DdType::Sylvan> const& representatives, uint64_t numberOfBlocks) : InternalSparseQuotientExtractorBase<storm::dd::DdType::Sylvan, ValueType>(model, partitionBdd, representatives, numberOfBlocks) {
this->createBlockToOffsetMapping();
}
storm::storage::SparseMatrix<ValueType> extractTransitionMatrix(storm::dd::Add<storm::dd::DdType::Sylvan, ValueType> const& transitionMatrix) {
// Create the number of rows necessary for the matrix.
this->createMatrixEntryStorage();
extractTransitionMatrixRec(transitionMatrix.getInternalAdd().getSylvanMtbdd().GetMTBDD(), this->isNondeterministic ? this->nondeterminismOdd : this->odd, 0, this->partition.asBdd().getInternalBdd().getSylvanBdd().GetBDD(), this->representatives.getInternalBdd().getSylvanBdd().GetBDD(), this->allSourceVariablesCube.getInternalBdd().getSylvanBdd().GetBDD(), this->nondeterminismVariablesCube.getInternalBdd().getSylvanBdd().GetBDD(), this->isNondeterministic ? &this->odd : nullptr, 0);
extractTransitionMatrixRec(transitionMatrix.getInternalAdd().getSylvanMtbdd().GetMTBDD(), this->isNondeterministic ? this->nondeterminismOdd : this->odd, 0, this->partitionBdd.getInternalBdd().getSylvanBdd().GetBDD(), this->representatives.getInternalBdd().getSylvanBdd().GetBDD(), this->allSourceVariablesCube.getInternalBdd().getSylvanBdd().GetBDD(), this->nondeterminismVariablesCube.getInternalBdd().getSylvanBdd().GetBDD(), this->isNondeterministic ? &this->odd : nullptr, 0);
return this->createMatrixFromEntries();
}
private:
void createBlockToOffsetMapping() {
this->createBlockToOffsetMappingRec(this->partition.asBdd().getInternalBdd().getSylvanBdd().GetBDD(), this->representatives.getInternalBdd().getSylvanBdd().GetBDD(), this->rowVariablesCube.getInternalBdd().getSylvanBdd().GetBDD(), this->odd, 0);
STORM_LOG_ASSERT(blockToOffset.size() == this->partition.getNumberOfBlocks(), "Mismatching block-to-offset mapping: " << blockToOffset.size() << " vs. " << this->partition.getNumberOfBlocks() << ".");
this->createBlockToOffsetMappingRec(this->partitionBdd.getInternalBdd().getSylvanBdd().GetBDD(), this->representatives.getInternalBdd().getSylvanBdd().GetBDD(), this->rowVariablesCube.getInternalBdd().getSylvanBdd().GetBDD(), this->odd, 0);
STORM_LOG_ASSERT(blockToOffset.size() == this->numberOfBlocks, "Mismatching block-to-offset mapping: " << blockToOffset.size() << " vs. " << this->numberOfBlocks << ".");
}
void createBlockToOffsetMappingRec(BDD partitionNode, BDD representativesNode, BDD variables, storm::dd::Odd const& odd, uint64_t offset) {
@ -562,7 +570,7 @@ namespace storm {
STORM_LOG_ASSERT(!odd.isTerminalNode(), "Expected non-terminal node.");
BDD partitionT;
BDD partitionE;
if (sylvan_var(partitionNode) == sylvan_var(variables) + 1) {
if (sylvan_var(partitionNode) == sylvan_var(variables)) {
partitionT = sylvan_high(partitionNode);
partitionE = sylvan_low(partitionNode);
} else {
@ -655,7 +663,7 @@ namespace storm {
BDD targetT;
BDD targetE;
if (sylvan_var(targetPartitionNode) == sylvan_var(variables) + 1) {
if (sylvan_var(targetPartitionNode) == sylvan_var(variables)) {
// Node was not skipped in target partition.
targetT = sylvan_high(targetPartitionNode);
targetE = sylvan_low(targetPartitionNode);
@ -720,10 +728,9 @@ namespace storm {
auto start = std::chrono::high_resolution_clock::now();
auto representatives = InternalRepresentativeComputer<DdType>(partitionAsBdd, model.getRowVariables()).getRepresentatives();
representatives.template toAdd<ValueType>().exportToDot("repr.dot");
STORM_LOG_ASSERT(representatives.getNonZeroCount() == partition.getNumberOfBlocks(), "Representatives size does not match that of the partition: " << representatives.getNonZeroCount() << " vs. " << partition.getNumberOfBlocks() << ".");
STORM_LOG_ASSERT((representatives && partitionAsBdd).existsAbstract(model.getRowVariables()) == partitionAsBdd.existsAbstract(model.getRowVariables()), "Representatives do not cover all blocks.");
InternalSparseQuotientExtractor<DdType, ValueType> sparseExtractor(model, partition, representatives);
InternalSparseQuotientExtractor<DdType, ValueType> sparseExtractor(model, partitionAsBdd, representatives, partition.getNumberOfBlocks());
storm::dd::Odd const& odd = sparseExtractor.getOdd();
STORM_LOG_ASSERT(odd.getTotalOffset() == representatives.getNonZeroCount(), "Mismatching ODD.");
storm::storage::SparseMatrix<ValueType> quotientTransitionMatrix = sparseExtractor.extractTransitionMatrix(model.getTransitionMatrix());

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