The source code and dockerfile for the GSW2024 AI Lab.
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#ifndef CUDA_KERNELS_GRAPH_H
#define CUDA_KERNELS_GRAPH_H
#include <set>
#include <limits>
#include "src/storage/sparse/StateType.h"
#include "src/models/AbstractDeterministicModel.h"
#include "src/models/AbstractNondeterministicModel.h"
#include "src/utility/constants.h"
#include "src/exceptions/InvalidArgumentException.h"
namespace stormcuda { namespace graph { void helloWorld(); template <typename T> storm::storage::BitVector performProbGreater0(storm::storage::SparseMatrix<T> const& backwardTransitions, storm::storage::BitVector const& phiStates, storm::storage::BitVector const& psiStates, bool useStepBound = false, uint_fast64_t maximalSteps = 0) { helloWorld(); // Prepare the resulting bit vector.
uint_fast64_t numberOfStates = phiStates.size(); storm::storage::BitVector statesWithProbabilityGreater0(numberOfStates);
// Add all psi states as the already satisfy the condition.
statesWithProbabilityGreater0 |= psiStates;
// Initialize the stack used for the DFS with the states.
std::vector<uint_fast64_t> stack(psiStates.begin(), psiStates.end());
// Initialize the stack for the step bound, if the number of steps is bounded.
std::vector<uint_fast64_t> stepStack; std::vector<uint_fast64_t> remainingSteps; if (useStepBound) { stepStack.reserve(numberOfStates); stepStack.insert(stepStack.begin(), psiStates.getNumberOfSetBits(), maximalSteps); remainingSteps.resize(numberOfStates); for (auto state : psiStates) { remainingSteps[state] = maximalSteps; } }
// Perform the actual DFS.
uint_fast64_t currentState, currentStepBound; while (!stack.empty()) { currentState = stack.back(); stack.pop_back();
if (useStepBound) { currentStepBound = stepStack.back(); stepStack.pop_back(); }
for (typename storm::storage::SparseMatrix<T>::const_iterator entryIt = backwardTransitions.begin(currentState), entryIte = backwardTransitions.end(currentState); entryIt != entryIte; ++entryIt) { if (phiStates[entryIt->getColumn()] && (!statesWithProbabilityGreater0.get(entryIt->getColumn()) || (useStepBound && remainingSteps[entryIt->getColumn()] < currentStepBound - 1))) { // If we don't have a bound on the number of steps to take, just add the state to the stack.
if (!useStepBound) { statesWithProbabilityGreater0.set(entryIt->getColumn(), true); stack.push_back(entryIt->getColumn()); } else if (currentStepBound > 0) { // If there is at least one more step to go, we need to push the state and the new number of steps.
remainingSteps[entryIt->getColumn()] = currentStepBound - 1; statesWithProbabilityGreater0.set(entryIt->getColumn(), true); stack.push_back(entryIt->getColumn()); stepStack.push_back(currentStepBound - 1); } } } }
// Return result.
return statesWithProbabilityGreater0; } } }
#endif /* CUDA_KERNELS_GRAPH_H */
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