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lots of debug output

tempestpy_adaptions
dehnert 7 years ago
parent
commit
09876f6808
  1. 107
      src/storm/modelchecker/abstraction/GameBasedMdpModelChecker.cpp
  2. 2
      src/storm/storage/SparseMatrix.h
  3. 7
      src/storm/utility/vector.h

107
src/storm/modelchecker/abstraction/GameBasedMdpModelChecker.cpp

@ -38,6 +38,7 @@
#include "storm/settings/SettingsManager.h" #include "storm/settings/SettingsManager.h"
#include "storm/settings/modules/CoreSettings.h" #include "storm/settings/modules/CoreSettings.h"
#include "storm/settings/modules/GeneralSettings.h"
#include "storm/utility/prism.h" #include "storm/utility/prism.h"
#include "storm/utility/macros.h" #include "storm/utility/macros.h"
@ -475,24 +476,40 @@ namespace storm {
uint64_t maybeStatePosition = 0; uint64_t maybeStatePosition = 0;
previousPlayer2States = 0; previousPlayer2States = 0;
for (auto state : maybeStates) { for (auto state : maybeStates) {
if (state == 25305 || state == 67442 || state == 67440) {
std::cout << "dealing with problematic state " << state << " whose local offset is " << maybeStatePosition << std::endl;
}
uint64_t chosenPlayer2State = startingStrategyPair->getPlayer1Strategy().getChoice(state); uint64_t chosenPlayer2State = startingStrategyPair->getPlayer1Strategy().getChoice(state);
uint64_t previousPlayer2StatesForState = 0;
uint64_t previousPlayer2MaybeStatesForState = 0;
for (uint64_t player2State = player1Groups[state]; player2State < player1Groups[state + 1]; ++player2State) { for (uint64_t player2State = player1Groups[state]; player2State < player1Groups[state + 1]; ++player2State) {
if (player2MaybeStates.get(player2State)) { if (player2MaybeStates.get(player2State)) {
if (state == 25305 || state == 67442 || state == 67440) {
std::cout << "player 2 state " << player2State << " is a player 2 maybe state with local index " << previousPlayer2States << std::endl;
}
if (player2State == chosenPlayer2State) { if (player2State == chosenPlayer2State) {
player1Scheduler[maybeStatePosition] = previousPlayer2StatesForState;
player1Scheduler[maybeStatePosition] = previousPlayer2MaybeStatesForState;
if (state == 25305 || state == 67442 || state == 67440) {
std::cout << "player 1 scheduler chooses " << previousPlayer2MaybeStatesForState << " which globally is " << player2State << std::endl;
}
} }
// Copy over the player 2 action (modulo making it local) as all rows for the state are taken.
// Copy over the player 2 action (modulo making it local) as all rows for the player 2 state are taken.
if (startingStrategyPair->getPlayer2Strategy().hasDefinedChoice(player2State)) { if (startingStrategyPair->getPlayer2Strategy().hasDefinedChoice(player2State)) {
player2Scheduler[previousPlayer2States] = startingStrategyPair->getPlayer2Strategy().getChoice(player2State) - transitionMatrix.getRowGroupIndices() player2Scheduler[previousPlayer2States] = startingStrategyPair->getPlayer2Strategy().getChoice(player2State) - transitionMatrix.getRowGroupIndices()
[player2State]; [player2State];
if (state == 25305 || state == 67442 || state == 67440) {
std::cout << "copied over choice " << player2Scheduler[previousPlayer2States] << " for player 2 (global index " << startingStrategyPair->getPlayer2Strategy().getChoice(player2State) << ")" << std::endl;
}
} else { } else {
player2Scheduler[previousPlayer2States] = 0; player2Scheduler[previousPlayer2States] = 0;
if (state == 25305 || state == 67442 || state == 67440) {
std::cout << "did not copy (undefined) choice for player 2 (global index " << startingStrategyPair->getPlayer2Strategy().getChoice(player2State) << ")" << std::endl;
}
} }
++previousPlayer2StatesForState;
++previousPlayer2MaybeStatesForState;
++previousPlayer2States; ++previousPlayer2States;
} }
} }
@ -502,7 +519,13 @@ namespace storm {
} }
// Solve actual game and track schedulers. // Solve actual game and track schedulers.
if (player1Scheduler.size() > 4713) {
std::cout << "before: player1Scheduler[4713] = " << player1Scheduler[4713] << std::endl;
}
gameSolver->solveGame(env, player1Direction, player2Direction, values, b, &player1Scheduler, &player2Scheduler); gameSolver->solveGame(env, player1Direction, player2Direction, values, b, &player1Scheduler, &player2Scheduler);
if (player1Scheduler.size() > 67440) {
std::cout << "after: player1Scheduler[4713] = " << player1Scheduler[4713] << std::endl;
}
// Set values according to quantitative result (qualitative result has already been taken care of). // Set values according to quantitative result (qualitative result has already been taken care of).
storm::utility::vector::setVectorValues(result.getValues(), maybeStates, values); storm::utility::vector::setVectorValues(result.getValues(), maybeStates, values);
@ -511,16 +534,16 @@ namespace storm {
uint64_t previousPlayer1MaybeStates = 0; uint64_t previousPlayer1MaybeStates = 0;
uint64_t previousPlayer2MaybeStates = 0; uint64_t previousPlayer2MaybeStates = 0;
for (auto state : maybeStates) { for (auto state : maybeStates) {
uint64_t previousPlayer2StatesForState = 0;
uint64_t previousPlayer2MaybeStatesForState = 0;
for (uint64_t player2State = player1Groups[state]; player2State < player1Groups[state + 1]; ++player2State) { for (uint64_t player2State = player1Groups[state]; player2State < player1Groups[state + 1]; ++player2State) {
if (player1Scheduler[previousPlayer1MaybeStates] == previousPlayer2StatesForState) {
if (player1Scheduler[previousPlayer1MaybeStates] == previousPlayer2MaybeStatesForState) {
strategyPair.getPlayer1Strategy().setChoice(state, player2State); strategyPair.getPlayer1Strategy().setChoice(state, player2State);
} }
if (player2MaybeStates.get(player2State)) { if (player2MaybeStates.get(player2State)) {
strategyPair.getPlayer2Strategy().setChoice(player2State, transitionMatrix.getRowGroupIndices()[player2State] + player2Scheduler[previousPlayer2MaybeStates]); strategyPair.getPlayer2Strategy().setChoice(player2State, transitionMatrix.getRowGroupIndices()[player2State] + player2Scheduler[previousPlayer2MaybeStates]);
++previousPlayer2StatesForState;
++previousPlayer2MaybeStatesForState;
++previousPlayer2MaybeStates; ++previousPlayer2MaybeStates;
} }
} }
@ -895,6 +918,8 @@ namespace storm {
} }
if (sanityCheck) { if (sanityCheck) {
storm::utility::ConstantsComparator<ValueType> sanityComparator(1e-6, true);
///////// SANITY CHECK: apply lower strategy, obtain DTMC matrix and model check it. the values should ///////// SANITY CHECK: apply lower strategy, obtain DTMC matrix and model check it. the values should
///////// still be the lower ones. ///////// still be the lower ones.
storm::storage::SparseMatrixBuilder<ValueType> dtmcMatrixBuilder(player1Groups.size() - 1, player1Groups.size() - 1); storm::storage::SparseMatrixBuilder<ValueType> dtmcMatrixBuilder(player1Groups.size() - 1, player1Groups.size() - 1);
@ -913,9 +938,21 @@ namespace storm {
auto dtmcMatrix = dtmcMatrixBuilder.build(); auto dtmcMatrix = dtmcMatrixBuilder.build();
std::vector<ValueType> sanityValues = storm::modelchecker::helper::SparseDtmcPrctlHelper<ValueType>::computeUntilProbabilities(Environment(), storm::solver::SolveGoal<ValueType>(), dtmcMatrix, dtmcMatrix.transpose(), constraintStates, targetStates, false); std::vector<ValueType> sanityValues = storm::modelchecker::helper::SparseDtmcPrctlHelper<ValueType>::computeUntilProbabilities(Environment(), storm::solver::SolveGoal<ValueType>(), dtmcMatrix, dtmcMatrix.transpose(), constraintStates, targetStates, false);
ValueType maxDiff = storm::utility::zero<ValueType>();
uint64_t maxState = 0;
for (uint64_t state = 0; state < player1Groups.size() - 1; ++state) { for (uint64_t state = 0; state < player1Groups.size() - 1; ++state) {
STORM_LOG_ASSERT(std::abs(sanityValues[state] - quantitativeResult.getMin().getValues()[state]) < 1e-4, "Got weird min divergences!");
ValueType const& diff = std::abs(sanityValues[state] - quantitativeResult.getMin().getValues()[state]);
if (diff > maxDiff) {
maxState = state;
maxDiff = diff;
}
} }
STORM_LOG_TRACE("Got maximal deviation of " << maxDiff << ".");
STORM_LOG_WARN_COND(sanityComparator.isZero(maxDiff), "Deviation " << maxDiff << " between computed value (" << quantitativeResult.getMin().getValues()[maxState] << ") and sanity check value (" << sanityValues[maxState] << ") in state " << maxState << " appears to be too high. (Obtained bounds were [" << quantitativeResult.getMin().getValues()[maxState] << ", " << quantitativeResult.getMax().getValues()[maxState] << "]");
if (!sanityComparator.isZero(maxDiff)) {
exit(-1);
}
///////// SANITY CHECK: apply upper strategy, obtain DTMC matrix and model check it. the values should ///////// SANITY CHECK: apply upper strategy, obtain DTMC matrix and model check it. the values should
///////// still be the upper ones. ///////// still be the upper ones.
dtmcMatrixBuilder = storm::storage::SparseMatrixBuilder<ValueType>(player1Groups.size() - 1, player1Groups.size() - 1); dtmcMatrixBuilder = storm::storage::SparseMatrixBuilder<ValueType>(player1Groups.size() - 1, player1Groups.size() - 1);
@ -926,16 +963,68 @@ namespace storm {
STORM_LOG_ASSERT(maxStrategyPair.getPlayer1Strategy().hasDefinedChoice(state), "Expected max player 1 choice in state " << state << "."); STORM_LOG_ASSERT(maxStrategyPair.getPlayer1Strategy().hasDefinedChoice(state), "Expected max player 1 choice in state " << state << ".");
STORM_LOG_ASSERT(maxStrategyPair.getPlayer2Strategy().hasDefinedChoice(maxStrategyPair.getPlayer1Strategy().getChoice(state)), "Expected max player 2 choice in state " << state << " with player 2 choice " << maxStrategyPair.getPlayer1Strategy().getChoice(state) << "."); STORM_LOG_ASSERT(maxStrategyPair.getPlayer2Strategy().hasDefinedChoice(maxStrategyPair.getPlayer1Strategy().getChoice(state)), "Expected max player 2 choice in state " << state << " with player 2 choice " << maxStrategyPair.getPlayer1Strategy().getChoice(state) << ".");
uint64_t player2Choice = maxStrategyPair.getPlayer2Strategy().getChoice(maxStrategyPair.getPlayer1Strategy().getChoice(state)); uint64_t player2Choice = maxStrategyPair.getPlayer2Strategy().getChoice(maxStrategyPair.getPlayer1Strategy().getChoice(state));
for (auto const& entry : transitionMatrix.getRow(player2Choice)) { for (auto const& entry : transitionMatrix.getRow(player2Choice)) {
dtmcMatrixBuilder.addNextValue(state, entry.getColumn(), entry.getValue()); dtmcMatrixBuilder.addNextValue(state, entry.getColumn(), entry.getValue());
if (state == 25305) {
std::cout << "entry " << entry.getColumn() << " -> " << entry.getValue() << std::endl;
std::cout << "values [" << quantitativeResult.getMin().getValues()[entry.getColumn()] << ", " << quantitativeResult.getMax().getValues()[entry.getColumn()] << "]" << std::endl;
}
} }
} }
} }
dtmcMatrix = dtmcMatrixBuilder.build(); dtmcMatrix = dtmcMatrixBuilder.build();
sanityValues = storm::modelchecker::helper::SparseDtmcPrctlHelper<ValueType>::computeUntilProbabilities(Environment(), storm::solver::SolveGoal<ValueType>(), dtmcMatrix, dtmcMatrix.transpose(), constraintStates, targetStates, false); sanityValues = storm::modelchecker::helper::SparseDtmcPrctlHelper<ValueType>::computeUntilProbabilities(Environment(), storm::solver::SolveGoal<ValueType>(), dtmcMatrix, dtmcMatrix.transpose(), constraintStates, targetStates, false);
maxDiff = storm::utility::zero<ValueType>();
maxState = 0;
for (uint64_t state = 0; state < player1Groups.size() - 1; ++state) { for (uint64_t state = 0; state < player1Groups.size() - 1; ++state) {
STORM_LOG_ASSERT(std::abs(sanityValues[state] - quantitativeResult.getMax().getValues()[state]) < 1e-4, "Got weird max divergences!");
ValueType const& diff = std::abs(sanityValues[state] - quantitativeResult.getMax().getValues()[state]);
if (diff > maxDiff) {
maxState = state;
maxDiff = diff;
}
if (dtmcMatrix.getRowCount() > 25305 && !targetStates.get(state)) {
uint64_t player2Choice = maxStrategyPair.getPlayer2Strategy().getChoice(maxStrategyPair.getPlayer1Strategy().getChoice(state));
for (auto const& entry : transitionMatrix.getRow(player2Choice)) {
if (state == 25305) {
std::cout << "entry " << entry.getColumn() << " -> " << entry.getValue() << std::endl;
std::cout << "sanity value " << sanityValues[entry.getColumn()] << std::endl;
}
}
}
}
STORM_LOG_TRACE("Got maximal deviation of " << maxDiff << ".");
STORM_LOG_WARN_COND(sanityComparator.isZero(maxDiff), "Deviation " << maxDiff << " between computed value (" << quantitativeResult.getMax().getValues()[maxState] << ") and sanity check value (" << sanityValues[maxState] << ") in state " << maxState << " appears to be too high. (Obtained bounds were [" << quantitativeResult.getMin().getValues()[maxState] << ", " << quantitativeResult.getMax().getValues()[maxState] << "]");
if (!sanityComparator.isZero(maxDiff)) {
// Perform DFS from max diff state in upper system.
std::vector<uint64_t> stack;
stack.push_back(maxState);
storm::storage::BitVector reachable(dtmcMatrix.getRowCount());
while (!stack.empty()) {
uint64_t currentState = stack.back();
stack.pop_back();
std::cout << "exploring player 1 state " << currentState << std::endl;
uint64_t player2State = maxStrategyPair.getPlayer1Strategy().getChoice(currentState);
std::cout << "going to player 2 state " << player2State << std::endl;
uint64_t player2Choice = maxStrategyPair.getPlayer2Strategy().getChoice(player2State);
std::cout << "which takes choice " << player2Choice << " which locally is " << (player2Choice - transitionMatrix.getRowGroupIndices()[player2State]) << std::endl;
for (auto const& entry : transitionMatrix.getRow(player2Choice)) {
std::cout << entry.getColumn() << " -> " << entry.getValue() << std::endl;
auto successor = entry.getColumn();
if (!reachable.get(successor)) {
if (!targetStates.get(successor)) {
reachable.set(successor);
stack.push_back(successor);
}
}
}
}
exit(-1);
} }
} }
} }

2
src/storm/storage/SparseMatrix.h

@ -693,7 +693,7 @@ namespace storm {
* *
* @param useGroups If set to true, the constraint for the rows is interpreted as selecting whole row groups. * @param useGroups If set to true, the constraint for the rows is interpreted as selecting whole row groups.
* If it is not set, the row constraint is interpreted over the actual rows. Note that empty row groups will * If it is not set, the row constraint is interpreted over the actual rows. Note that empty row groups will
* be dropped altogether. That is, if no row of a row group is selected *or* the row group is alread empty,
* be dropped altogether. That is, if no row of a row group is selected *or* the row group is already empty,
* the submatrix will not have this row group. * the submatrix will not have this row group.
* @param constraint A bit vector indicating which rows to keep. * @param constraint A bit vector indicating which rows to keep.
* @param columnConstraint A bit vector indicating which columns to keep. * @param columnConstraint A bit vector indicating which columns to keep.

7
src/storm/utility/vector.h

@ -725,6 +725,10 @@ namespace storm {
} }
if (choices && f(*targetIt, oldSelectedChoiceValue)) { if (choices && f(*targetIt, oldSelectedChoiceValue)) {
uint64_t distance = std::distance(target.begin(), targetIt);
if (distance == 1693 || distance == 4715 || distance == 4713) {
std::cout << "improving value at " << distance << ": moving from " << *choiceIt << " to " << selectedChoice << " because " << *targetIt << " is better than " << oldSelectedChoiceValue << std::endl;
}
*choiceIt = selectedChoice; *choiceIt = selectedChoice;
} }
} else { } else {
@ -792,7 +796,8 @@ namespace storm {
*/ */
template<class T> template<class T>
void reduceVectorMinOrMax(storm::solver::OptimizationDirection dir, std::vector<T> const& source, std::vector<T>& target, std::vector<uint_fast64_t> const& rowGrouping, std::vector<uint_fast64_t>* choices = nullptr) { void reduceVectorMinOrMax(storm::solver::OptimizationDirection dir, std::vector<T> const& source, std::vector<T>& target, std::vector<uint_fast64_t> const& rowGrouping, std::vector<uint_fast64_t>* choices = nullptr) {
if(dir == storm::solver::OptimizationDirection::Minimize) {
std::cout << "[" << dir << "]: reducing vector " << std::endl;
if (dir == storm::solver::OptimizationDirection::Minimize) {
reduceVectorMin(source, target, rowGrouping, choices); reduceVectorMin(source, target, rowGrouping, choices);
} else { } else {
reduceVectorMax(source, target, rowGrouping, choices); reduceVectorMax(source, target, rowGrouping, choices);

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