Commiting my local changes ...
[satune.git] / src / Tuner / autotuner.cc
index 0ebcc2f51bfd16d91896a77b8e5533f1b336024b..29c3289ec2d371f71f9e47f0ea2745e8ee71e023 100644 (file)
 #include "autotuner.h"
 #include "csolver.h"
+#include "searchtuner.h"
+#include <math.h>
+#include <stdlib.h>
+#include <float.h>
+#include <iostream>
+#include <chrono>
+#include <thread>
+#include <mutex>
+#include <condition_variable>
+
+#define TIMEOUT 1000s
+#define UNSETVALUE -1
+#define POSINFINITY 9999999999L
+
+using namespace std::chrono_literals;
+
+int solve(CSolver *solver)
+{
+       try{
+               return solver->solve();
+       }
+       catch(std::runtime_error& e) {
+               return UNSETVALUE;
+       }
+}
+
+int solveWrapper(CSolver *solver)
+{
+       std::mutex m;
+       std::condition_variable cv;
+       int retValue;
+
+       std::thread t([&cv, &retValue, solver]()
+       {
+               retValue = solve(solver);
+               cv.notify_one();
+       });
+
+       t.detach();
+
+       {
+               std::unique_lock<std::mutex> l(m);
+               if(cv.wait_for(l, TIMEOUT) == std::cv_status::timeout)
+                       throw std::runtime_error("Timeout");
+       }
+
+       return retValue;
+}
+
+
+AutoTuner::AutoTuner(uint _budget) :
+       budget(_budget), result(UNSETVALUE) {
+}
 
 void AutoTuner::addProblem(CSolver *solver) {
        solvers.push(solver);
 }
 
-void AutoTuner::tune() {
-       
+long long AutoTuner::evaluate(CSolver *problem, SearchTuner *tuner) {
+       CSolver *copy = problem->clone();
+       copy->setTuner(tuner);
+       model_print("**********************\n");
+       long long metric = 0L;
+       try {
+               int sat = solveWrapper(copy);
+               if (result == UNSETVALUE)
+                       result = sat;
+               else if (result != sat) {
+                       model_print("&&&&&&&&&&&&&&&&&& Result has changed &&&&&&&&&&&&&\n");
+                       copy->printConstraints();
+               }
+               metric = copy->getElapsedTime();
+       }
+       catch(std::runtime_error& e) {
+               metric = POSINFINITY;
+               model_print("TimeOut has hit\n");
+       }
        
+       delete copy;
+       return metric;
+}
+
+double AutoTuner::evaluateAll(SearchTuner *tuner) {
+       double product = 1;
+       for (uint i = 0; i < solvers.getSize(); i++) {
+               CSolver *problem = solvers.get(i);
+               double score = evaluate(problem, tuner);
+               product *= score;
+       }
+       return pow(product, 1 / ((double)solvers.getSize()));
+}
+
+SearchTuner *AutoTuner::mutateTuner(SearchTuner *oldTuner, uint k) {
+       SearchTuner *newTuner = oldTuner->copyUsed();
+       uint numSettings = oldTuner->getSize();
+       uint settingsToMutate = (uint)(AUTOTUNERFACTOR * (((double)numSettings) * (budget - k)) / (budget));
+       if (settingsToMutate < 1)
+               settingsToMutate = 1;
+       model_print("Mutating %u settings\n", settingsToMutate);
+       while (settingsToMutate-- != 0) {
+               newTuner->randomMutate();
+       }
+       return newTuner;
+}
+
+
+void AutoTuner::tune() {
+       SearchTuner *bestTuner = NULL;
+       double bestScore = DBL_MAX;
+
+       SearchTuner *oldTuner = new SearchTuner();
+       double base_temperature = evaluateAll(oldTuner);
+       double oldScore = base_temperature;
+
+       for (uint i = 0; i < budget; i++) {
+               SearchTuner *newTuner = mutateTuner(oldTuner, i);
+               double newScore = evaluateAll(newTuner);
+               newTuner->printUsed();
+               model_print("Received score %f\n", newScore);
+               double scoreDiff = newScore - oldScore; //smaller is better
+               if (newScore < bestScore) {
+                       if (bestTuner != NULL)
+                               delete bestTuner;
+                       bestScore = newScore;
+                       bestTuner = newTuner->copyUsed();
+               }
+
+               double acceptanceP;
+               if (scoreDiff < 0) {
+                       acceptanceP = 1;
+               } else {
+                       double currTemp = base_temperature * (((double)budget - i) / budget);
+                       acceptanceP = exp(-scoreDiff / currTemp);
+               }
+               double ran = ((double)random()) / RAND_MAX;
+               if (ran <= acceptanceP) {
+                       delete oldTuner;
+                       oldScore = newScore;
+                       oldTuner = newTuner;
+               } else {
+                       delete newTuner;
+               }
+       }
+       model_print("Best tuner:\n");
+       bestTuner->print();
+       bestTuner->serialize();
+       model_print("Received score %f\n", bestScore);
+       if (bestTuner != NULL)
+               delete bestTuner;
+       delete oldTuner;
 }