You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 

175 lines
14 KiB

#include "storm-pars/utility/ModelInstantiator.h"
#include "storm/models/sparse/StandardRewardModel.h"
namespace storm {
namespace utility {
template<typename ParametricSparseModelType, typename ConstantSparseModelType>
ModelInstantiator<ParametricSparseModelType, ConstantSparseModelType>::ModelInstantiator(ParametricSparseModelType const& parametricModel){
//Now pre-compute the information for the equation system.
initializeModelSpecificData(parametricModel);
initializeMatrixMapping(this->instantiatedModel->getTransitionMatrix(), this->functions, this->matrixMapping, parametricModel.getTransitionMatrix());
for(auto& rewModel : this->instantiatedModel->getRewardModels()) {
if(rewModel.second.hasStateRewards()){
initializeVectorMapping(rewModel.second.getStateRewardVector(), this->functions, this->vectorMapping, parametricModel.getRewardModel(rewModel.first).getStateRewardVector());
}
if(rewModel.second.hasStateActionRewards()){
initializeVectorMapping(rewModel.second.getStateActionRewardVector(), this->functions, this->vectorMapping, parametricModel.getRewardModel(rewModel.first).getStateActionRewardVector());
}
if(rewModel.second.hasTransitionRewards()){
initializeMatrixMapping(rewModel.second.getTransitionRewardMatrix(), this->functions, this->matrixMapping, parametricModel.getRewardModel(rewModel.first).getTransitionRewardMatrix());
}
}
}
template<typename ParametricSparseModelType, typename ConstantType>
ModelInstantiator<ParametricSparseModelType, ConstantType>::~ModelInstantiator() {
//Intentionally left empty
}
template<typename ParametricSparseModelType, typename ConstantSparseModelType>
storm::storage::SparseMatrix<typename ConstantSparseModelType::ValueType> ModelInstantiator<ParametricSparseModelType, ConstantSparseModelType>::buildDummyMatrix(storm::storage::SparseMatrix<ParametricType> const& parametricMatrix) const{
storm::storage::SparseMatrixBuilder<ConstantType> matrixBuilder(parametricMatrix.getRowCount(),
parametricMatrix.getColumnCount(),
parametricMatrix.getEntryCount(),
true,
!parametricMatrix.hasTrivialRowGrouping(),
parametricMatrix.hasTrivialRowGrouping() ? 0 : parametricMatrix.getRowGroupCount());
if (parametricMatrix.hasTrivialRowGrouping()) {
for (uint_fast64_t row = 0; row < parametricMatrix.getRowCount(); ++row) {
auto parametricRow = parametricMatrix.getRow(row);
ConstantType dummyValue = storm::utility::one<ConstantType>() / storm::utility::convertNumber<ConstantType>(parametricRow.getNumberOfEntries());
for (auto const& paramEntry : parametricRow) {
matrixBuilder.addNextValue(row, paramEntry.getColumn(), dummyValue);
}
}
}
else {
for(uint_fast64_t rowGroup = 0; rowGroup < parametricMatrix.getRowGroupCount(); ++rowGroup){
matrixBuilder.newRowGroup(parametricMatrix.getRowGroupIndices()[rowGroup]);
for (uint_fast64_t row = parametricMatrix.getRowGroupIndices()[rowGroup]; row < parametricMatrix.getRowGroupIndices()[rowGroup+1]; ++row) {
auto parametricRow = parametricMatrix.getRow(row);
ConstantType dummyValue = storm::utility::one<ConstantType>() / storm::utility::convertNumber<ConstantType>(parametricRow.getNumberOfEntries());
for(auto const& paramEntry : parametricRow){
matrixBuilder.addNextValue(row, paramEntry.getColumn(), dummyValue);
}
}
}
}
return matrixBuilder.build();
}
template<typename ParametricSparseModelType, typename ConstantSparseModelType>
std::unordered_map<std::string, typename ConstantSparseModelType::RewardModelType> ModelInstantiator<ParametricSparseModelType, ConstantSparseModelType>::buildDummyRewardModels(std::unordered_map<std::string, typename ParametricSparseModelType::RewardModelType> const& parametricRewardModel) const {
std::unordered_map<std::string, typename ConstantSparseModelType::RewardModelType> result;
for(auto const& paramRewardModel : parametricRewardModel){
auto const& rewModel = paramRewardModel.second;
boost::optional<std::vector<ConstantType>> optionalStateRewardVector;
if(rewModel.hasStateRewards()) {
optionalStateRewardVector = std::vector<ConstantType>(rewModel.getStateRewardVector().size());
}
boost::optional<std::vector<ConstantType>> optionalStateActionRewardVector;
if(rewModel.hasStateActionRewards()) {
optionalStateActionRewardVector = std::vector<ConstantType>(rewModel.getStateActionRewardVector().size());
}
boost::optional<storm::storage::SparseMatrix<ConstantType>> optionalTransitionRewardMatrix;
if(rewModel.hasTransitionRewards()) {
optionalTransitionRewardMatrix = buildDummyMatrix(rewModel.getTransitionRewardMatrix());
}
result.insert(std::make_pair(paramRewardModel.first,
storm::models::sparse::StandardRewardModel<ConstantType>(std::move(optionalStateRewardVector), std::move(optionalStateActionRewardVector), std::move(optionalTransitionRewardMatrix))
));
}
return result;
}
template<typename ParametricSparseModelType, typename ConstantSparseModelType>
void ModelInstantiator<ParametricSparseModelType, ConstantSparseModelType>::initializeMatrixMapping(storm::storage::SparseMatrix<ConstantType>& constantMatrix,
std::unordered_map<ParametricType, ConstantType>& functions,
std::vector<std::pair<typename storm::storage::SparseMatrix<ConstantType>::iterator, ConstantType*>>& mapping,
storm::storage::SparseMatrix<ParametricType> const& parametricMatrix) const{
ConstantType dummyValue = storm::utility::one<ConstantType>();
auto constantEntryIt = constantMatrix.begin();
auto parametricEntryIt = parametricMatrix.begin();
while(parametricEntryIt != parametricMatrix.end()){
STORM_LOG_ASSERT(parametricEntryIt->getColumn() == constantEntryIt->getColumn(), "Entries of parametric and constant matrix are not at the same position");
if(storm::utility::isConstant(parametricEntryIt->getValue())){
//Constant entries can be inserted directly
constantEntryIt->setValue(storm::utility::convertNumber<ConstantType>(parametricEntryIt->getValue()));
} else {
//insert the new function and store that the current constantMatrix entry needs to be set to the value of this function
auto functionsIt = functions.insert(std::make_pair(parametricEntryIt->getValue(), dummyValue)).first;
mapping.emplace_back(std::make_pair(constantEntryIt, &(functionsIt->second)));
//Note that references to elements of an unordered map remain valid after calling unordered_map::insert.
}
++constantEntryIt;
++parametricEntryIt;
}
STORM_LOG_ASSERT(constantEntryIt == constantMatrix.end(), "Parametric matrix seems to have more or less entries then the constant matrix");
constantMatrix.updateNonzeroEntryCount();
}
template<typename ParametricSparseModelType, typename ConstantSparseModelType>
void ModelInstantiator<ParametricSparseModelType, ConstantSparseModelType>::initializeVectorMapping(std::vector<ConstantType>& constantVector,
std::unordered_map<ParametricType, ConstantType>& functions,
std::vector<std::pair<typename std::vector<ConstantType>::iterator, ConstantType*>>& mapping,
std::vector<ParametricType> const& parametricVector) const{
ConstantType dummyValue = storm::utility::one<ConstantType>();
auto constantEntryIt = constantVector.begin();
auto parametricEntryIt = parametricVector.begin();
while(parametricEntryIt != parametricVector.end()){
if(storm::utility::isConstant(storm::utility::simplify(*parametricEntryIt))){
//Constant entries can be inserted directly
*constantEntryIt = storm::utility::convertNumber<ConstantType>(*parametricEntryIt);
} else {
//insert the new function and store that the current constantVector entry needs to be set to the value of this function
auto functionsIt = functions.insert(std::make_pair(*parametricEntryIt, dummyValue)).first;
mapping.emplace_back(std::make_pair(constantEntryIt, &(functionsIt->second)));
//Note that references to elements of an unordered map remain valid after calling unordered_map::insert.
}
++constantEntryIt;
++parametricEntryIt;
}
STORM_LOG_ASSERT(constantEntryIt == constantVector.end(), "Parametric vector seems to have more or less entries then the constant vector");
}
template<typename ParametricSparseModelType, typename ConstantSparseModelType>
ConstantSparseModelType const& ModelInstantiator<ParametricSparseModelType, ConstantSparseModelType>::instantiate(storm::utility::parametric::Valuation<ParametricType> const& valuation){
//Write results into the placeholders
for(auto& functionResult : this->functions){
functionResult.second=storm::utility::convertNumber<ConstantType>(
storm::utility::parametric::evaluate(functionResult.first, valuation));
}
//Write the instantiated values to the matrices and vectors according to the stored mappings
for(auto& entryValuePair : this->matrixMapping){
entryValuePair.first->setValue(*(entryValuePair.second));
}
for(auto& entryValuePair : this->vectorMapping){
*(entryValuePair.first)=*(entryValuePair.second);
}
return *this->instantiatedModel;
}
template<typename ParametricSparseModelType, typename ConstantSparseModelType>
void ModelInstantiator<ParametricSparseModelType, ConstantSparseModelType>::checkValid() const {
// TODO write some checks
}
#ifdef STORM_HAVE_CARL
template class ModelInstantiator<storm::models::sparse::Dtmc<storm::RationalFunction>, storm::models::sparse::Dtmc<double>>;
template class ModelInstantiator<storm::models::sparse::Mdp<storm::RationalFunction>, storm::models::sparse::Mdp<double>>;
template class ModelInstantiator<storm::models::sparse::Ctmc<storm::RationalFunction>, storm::models::sparse::Ctmc<double>>;
template class ModelInstantiator<storm::models::sparse::MarkovAutomaton<storm::RationalFunction>, storm::models::sparse::MarkovAutomaton<double>>;
template class ModelInstantiator<storm::models::sparse::StochasticTwoPlayerGame<storm::RationalFunction>, storm::models::sparse::StochasticTwoPlayerGame<double>>;
template class ModelInstantiator<storm::models::sparse::Dtmc<storm::RationalFunction>, storm::models::sparse::Dtmc<storm::RationalNumber>>;
template class ModelInstantiator<storm::models::sparse::Mdp<storm::RationalFunction>, storm::models::sparse::Mdp<storm::RationalNumber>>;
template class ModelInstantiator<storm::models::sparse::Ctmc<storm::RationalFunction>, storm::models::sparse::Ctmc<storm::RationalNumber>>;
template class ModelInstantiator<storm::models::sparse::MarkovAutomaton<storm::RationalFunction>, storm::models::sparse::MarkovAutomaton<storm::RationalNumber>>;
template class ModelInstantiator<storm::models::sparse::StochasticTwoPlayerGame<storm::RationalFunction>, storm::models::sparse::StochasticTwoPlayerGame<storm::RationalNumber>>;
#endif
} //namespace utility
} //namespace storm