3 #include "searchtuner.h"
10 AutoTuner::AutoTuner(uint _budget) :
11 budget(_budget), result(UNSETVALUE) {
14 void AutoTuner::addProblem(CSolver *solver) {
18 long long AutoTuner::evaluate(CSolver *problem, SearchTuner *tuner) {
19 CSolver *copy = problem->clone();
20 copy->setTuner(tuner);
21 copy->setSatSolverTimeout(TIMEOUTSEC);
22 model_print("**********************\n");
23 int sat = copy->solve();
24 if (result == UNSETVALUE && sat != IS_INDETER)
26 else if (result != sat && sat != IS_INDETER) {
27 model_print("&&&&&&&&&&&&&&&&&& Result has changed &&&&&&&&&&&&&\n");
28 copy->printConstraints();
30 long long metric = copy->getElapsedTime();
35 double AutoTuner::evaluateAll(SearchTuner *tuner) {
37 for (uint i = 0; i < solvers.getSize(); i++) {
38 CSolver *problem = solvers.get(i);
39 double score = evaluate(problem, tuner);
42 return pow(product, 1 / ((double)solvers.getSize()));
45 SearchTuner *AutoTuner::mutateTuner(SearchTuner *oldTuner, uint k) {
46 SearchTuner *newTuner = oldTuner->copyUsed();
47 uint numSettings = oldTuner->getSize();
48 uint settingsToMutate = (uint)(AUTOTUNERFACTOR * (((double)numSettings) * (budget - k)) / (budget));
49 if (settingsToMutate < 1)
51 model_print("Mutating %u settings\n", settingsToMutate);
52 while (settingsToMutate-- != 0) {
53 newTuner->randomMutate();
59 void AutoTuner::tune() {
60 SearchTuner *bestTuner = NULL;
61 double bestScore = DBL_MAX;
63 SearchTuner *oldTuner = new SearchTuner();
64 double base_temperature = evaluateAll(oldTuner);
65 double oldScore = base_temperature;
67 for (uint i = 0; i < budget; i++) {
68 SearchTuner *newTuner = mutateTuner(oldTuner, i);
69 double newScore = evaluateAll(newTuner);
70 newTuner->printUsed();
71 model_print("Received score %f\n", newScore);
72 double scoreDiff = newScore - oldScore; //smaller is better
73 if (newScore < bestScore) {
74 if (bestTuner != NULL)
77 bestTuner = newTuner->copyUsed();
84 double currTemp = base_temperature * (((double)budget - i) / budget);
85 acceptanceP = exp(-scoreDiff / currTemp);
87 double ran = ((double)random()) / RAND_MAX;
88 if (ran <= acceptanceP) {
96 model_print("Best tuner:\n");
98 bestTuner->serialize();
99 model_print("Received score %f\n", bestScore);
100 if (bestTuner != NULL)