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post merge compile issues with double vs rationals in storm pomdp

tempestpy_adaptions
Sebastian Junges 5 years ago
parent
160043a8b8
commit
0f967409e6
1 changed files with 24 additions and 23 deletions
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  1. 47
      src/storm-pomdp-cli/storm-pomdp.cpp

47
src/storm-pomdp-cli/storm-pomdp.cpp
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@ -197,13 +197,14 @@ int main(const int argc, const char** argv) {
}
storm::cli::setUrgentOptions();
typedef double VT;
auto const& coreSettings = storm::settings::getModule<storm::settings::modules::CoreSettings>();
auto const& pomdpSettings = storm::settings::getModule<storm::settings::modules::POMDPSettings>();
auto const &general = storm::settings::getModule<storm::settings::modules::GeneralSettings>();
auto const &debug = storm::settings::getModule<storm::settings::modules::DebugSettings>();
if (general.isVerboseSet()) {
storm::utility::setLogLevel(l3pp::LogLevel::INFO);
}
@ -222,8 +223,8 @@ int main(const int argc, const char** argv) {
auto model = storm::cli::buildPreprocessExportModelWithValueTypeAndDdlib<storm::dd::DdType::Sylvan, double>(symbolicInput, engine);
STORM_LOG_THROW(model && model->getType() == storm::models::ModelType::Pomdp, storm::exceptions::WrongFormatException, "Expected a POMDP.");
std::shared_ptr<storm::models::sparse::Pomdp<storm::RationalNumber>> pomdp = model->template as<storm::models::sparse::Pomdp<storm::RationalNumber>>();
storm::transformer::MakePOMDPCanonic<storm::RationalNumber> makeCanonic(*pomdp);
std::shared_ptr<storm::models::sparse::Pomdp<VT>> pomdp = model->template as<storm::models::sparse::Pomdp<VT>>();
storm::transformer::MakePOMDPCanonic<VT> makeCanonic(*pomdp);
pomdp = makeCanonic.transform();
std::shared_ptr<storm::logic::Formula const> formula;
@ -235,7 +236,7 @@ int main(const int argc, const char** argv) {
if (pomdpSettings.isAnalyzeUniqueObservationsSet()) {
STORM_PRINT_AND_LOG("Analyzing states with unique observation ..." << std::endl);
storm::analysis::UniqueObservationStates<double> uniqueAnalysis(*pomdp);
storm::analysis::UniqueObservationStates<VT> uniqueAnalysis(*pomdp);
std::cout << uniqueAnalysis.analyse() << std::endl;
}
@ -261,12 +262,12 @@ int main(const int argc, const char** argv) {
if (pomdpSettings.isSelfloopReductionSet() && !storm::solver::minimize(formula->asProbabilityOperatorFormula().getOptimalityType())) {
STORM_PRINT_AND_LOG("Eliminating self-loop choices ...");
uint64_t oldChoiceCount = pomdp->getNumberOfChoices();
storm::transformer::GlobalPOMDPSelfLoopEliminator<double> selfLoopEliminator(*pomdp);
storm::transformer::GlobalPOMDPSelfLoopEliminator<VT> selfLoopEliminator(*pomdp);
pomdp = selfLoopEliminator.transform();
STORM_PRINT_AND_LOG(oldChoiceCount - pomdp->getNumberOfChoices() << " choices eliminated through self-loop elimination." << std::endl);
}
if (pomdpSettings.isQualitativeReductionSet()) {
storm::analysis::QualitativeAnalysis<double> qualitativeAnalysis(*pomdp);
storm::analysis::QualitativeAnalysis<VT> qualitativeAnalysis(*pomdp);
STORM_PRINT_AND_LOG("Computing states with probability 0 ...");
prob0States = qualitativeAnalysis.analyseProb0(formula->asProbabilityOperatorFormula());
std::cout << *prob0States << std::endl;
@ -276,15 +277,15 @@ int main(const int argc, const char** argv) {
std::cout << *prob1States << std::endl;
STORM_PRINT_AND_LOG(" done." << std::endl);
//std::cout << "actual reduction not yet implemented..." << std::endl;
storm::pomdp::transformer::KnownProbabilityTransformer<double> kpt = storm::pomdp::transformer::KnownProbabilityTransformer<double>();
storm::pomdp::transformer::KnownProbabilityTransformer<VT> kpt = storm::pomdp::transformer::KnownProbabilityTransformer<double>();
pomdp = kpt.transform(*pomdp, *prob0States, *prob1States);
}
if (pomdpSettings.isGridApproximationSet()) {
storm::pomdp::modelchecker::ApproximatePOMDPModelchecker<double> checker = storm::pomdp::modelchecker::ApproximatePOMDPModelchecker<double>();
auto overRes = storm::utility::one<double>();
auto underRes = storm::utility::zero<double>();
std::unique_ptr<storm::pomdp::modelchecker::POMDPCheckResult<double>> result;
storm::pomdp::modelchecker::ApproximatePOMDPModelchecker<VT> checker = storm::pomdp::modelchecker::ApproximatePOMDPModelchecker<double>();
auto overRes = storm::utility::one<VT>();
auto underRes = storm::utility::zero<VT>();
std::unique_ptr<storm::pomdp::modelchecker::POMDPCheckResult<VT>> result;
result = checker.refineReachabilityProbability(*pomdp, targetObservationSet, probFormula.getOptimalityType() == storm::OptimizationDirection::Minimize,
pomdpSettings.getGridResolution(), pomdpSettings.getExplorationThreshold());
@ -306,10 +307,10 @@ int main(const int argc, const char** argv) {
storm::expressions::ExpressionManager expressionManager;
std::shared_ptr<storm::utility::solver::SmtSolverFactory> smtSolverFactory = std::make_shared<storm::utility::solver::Z3SmtSolverFactory>();
if (pomdpSettings.getMemlessSearchMethod() == "ccd16memless") {
storm::pomdp::QualitativeStrategySearchNaive<double> memlessSearch(*pomdp, targetObservationSet, targetStates, badStates, smtSolverFactory);
storm::pomdp::QualitativeStrategySearchNaive<VT> memlessSearch(*pomdp, targetObservationSet, targetStates, badStates, smtSolverFactory);
memlessSearch.findNewStrategyForSomeState(5);
} else if (pomdpSettings.getMemlessSearchMethod() == "iterative") {
storm::pomdp::MemlessStrategySearchQualitative<double> memlessSearch(*pomdp, targetObservationSet, targetStates, badStates, smtSolverFactory);
storm::pomdp::MemlessStrategySearchQualitative<VT> memlessSearch(*pomdp, targetObservationSet, targetStates, badStates, smtSolverFactory);
memlessSearch.findNewStrategyForSomeState(5);
} else {
STORM_LOG_ERROR("This method is not implemented.");
@ -321,7 +322,7 @@ int main(const int argc, const char** argv) {
if (pomdpSettings.isSelfloopReductionSet() && storm::solver::minimize(formula->asRewardOperatorFormula().getOptimalityType())) {
STORM_PRINT_AND_LOG("Eliminating self-loop choices ...");
uint64_t oldChoiceCount = pomdp->getNumberOfChoices();
storm::transformer::GlobalPOMDPSelfLoopEliminator<double> selfLoopEliminator(*pomdp);
storm::transformer::GlobalPOMDPSelfLoopEliminator<VT> selfLoopEliminator(*pomdp);
pomdp = selfLoopEliminator.transform();
STORM_PRINT_AND_LOG(oldChoiceCount - pomdp->getNumberOfChoices() << " choices eliminated through self-loop elimination." << std::endl);
}
@ -367,10 +368,10 @@ int main(const int argc, const char** argv) {
"The formula is not supported by the grid approximation");
STORM_LOG_ASSERT(!targetObservationSet.empty(), "The set of target observations is empty!");
storm::pomdp::modelchecker::ApproximatePOMDPModelchecker<double> checker = storm::pomdp::modelchecker::ApproximatePOMDPModelchecker<double>();
auto overRes = storm::utility::one<double>();
auto underRes = storm::utility::zero<double>();
std::unique_ptr<storm::pomdp::modelchecker::POMDPCheckResult<double>> result;
storm::pomdp::modelchecker::ApproximatePOMDPModelchecker<VT> checker = storm::pomdp::modelchecker::ApproximatePOMDPModelchecker<double>();
auto overRes = storm::utility::one<VT>();
auto underRes = storm::utility::zero<VT>();
std::unique_ptr<storm::pomdp::modelchecker::POMDPCheckResult<VT>> result;
result = checker.computeReachabilityReward(*pomdp, targetObservationSet,
rewFormula.getOptimalityType() ==
storm::OptimizationDirection::Minimize,
@ -384,7 +385,7 @@ int main(const int argc, const char** argv) {
STORM_PRINT_AND_LOG("Computing the unfolding for memory bound " << pomdpSettings.getMemoryBound() << " and memory pattern '" << storm::storage::toString(pomdpSettings.getMemoryPattern()) << "' ...");
storm::storage::PomdpMemory memory = storm::storage::PomdpMemoryBuilder().build(pomdpSettings.getMemoryPattern(), pomdpSettings.getMemoryBound());
std::cout << memory.toString() << std::endl;
storm::transformer::PomdpMemoryUnfolder<double> memoryUnfolder(*pomdp, memory);
storm::transformer::PomdpMemoryUnfolder<VT> memoryUnfolder(*pomdp, memory);
pomdp = memoryUnfolder.transform();
STORM_PRINT_AND_LOG(" done." << std::endl);
pomdp->printModelInformationToStream(std::cout);
@ -398,7 +399,7 @@ int main(const int argc, const char** argv) {
STORM_PRINT_AND_LOG("Eliminating mec choices ...");
// Note: Elimination of mec choices only preserves memoryless schedulers.
uint64_t oldChoiceCount = pomdp->getNumberOfChoices();
storm::transformer::GlobalPomdpMecChoiceEliminator<double> mecChoiceEliminator(*pomdp);
storm::transformer::GlobalPomdpMecChoiceEliminator<VT> mecChoiceEliminator(*pomdp);
pomdp = mecChoiceEliminator.transform(*formula);
STORM_PRINT_AND_LOG(" done." << std::endl);
STORM_PRINT_AND_LOG(oldChoiceCount - pomdp->getNumberOfChoices() << " choices eliminated through MEC choice elimination." << std::endl);
@ -408,10 +409,10 @@ int main(const int argc, const char** argv) {
if (pomdpSettings.isTransformBinarySet() || pomdpSettings.isTransformSimpleSet()) {
if (pomdpSettings.isTransformSimpleSet()) {
STORM_PRINT_AND_LOG("Transforming the POMDP to a simple POMDP.");
pomdp = storm::transformer::BinaryPomdpTransformer<double>().transform(*pomdp, true);
pomdp = storm::transformer::BinaryPomdpTransformer<VT>().transform(*pomdp, true);
} else {
STORM_PRINT_AND_LOG("Transforming the POMDP to a binary POMDP.");
pomdp = storm::transformer::BinaryPomdpTransformer<double>().transform(*pomdp, false);
pomdp = storm::transformer::BinaryPomdpTransformer<VT>().transform(*pomdp, false);
}
pomdp->printModelInformationToStream(std::cout);
STORM_PRINT_AND_LOG(" done." << std::endl);
@ -420,7 +421,7 @@ int main(const int argc, const char** argv) {
if (pomdpSettings.isExportToParametricSet()) {
STORM_PRINT_AND_LOG("Transforming memoryless POMDP to pMC...");
storm::transformer::ApplyFiniteSchedulerToPomdp<double> toPMCTransformer(*pomdp);
storm::transformer::ApplyFiniteSchedulerToPomdp<VT> toPMCTransformer(*pomdp);
std::string transformMode = pomdpSettings.getFscApplicationTypeString();
auto pmc = toPMCTransformer.transform(storm::transformer::parsePomdpFscApplicationMode(transformMode));
STORM_PRINT_AND_LOG(" done." << std::endl);

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