--- /dev/null
+#include "randomtuner.h"
+#include "csolver.h"
+#include "searchtuner.h"
+#include "multituner.h"
+#include <math.h>
+#include <stdlib.h>
+#include <float.h>
+#include <string.h>
+#include <iostream>
+#include <fstream>
+#include <limits>
+
+#define UNSETVALUE -1
+
+RandomTuner::RandomTuner(uint _budget, uint _timeout) :
+ budget(_budget), timeout(_timeout), execnum(0) {
+}
+
+RandomTuner::~RandomTuner() {
+ for (uint i = 0; i < problems.getSize(); i++)
+ ourfree(problems.get(i));
+ for (uint i = 0; i < allTuners.getSize(); i++)
+ delete allTuners.get(i);
+}
+
+void RandomTuner::addProblem(const char *filename) {
+ Problem *p = new Problem(filename);
+ p->problemnumber = problems.getSize();
+ problems.push(p);
+}
+
+void RandomTuner::printData() {
+ model_print("*********** DATA DUMP ***********\n");
+ for (uint i = 0; i < allTuners.getSize(); i++) {
+ TunerRecord *tuner = allTuners.get(i);
+ SearchTuner *stun = tuner->getTuner();
+ model_print("Tuner %u\n", i);
+ stun->print();
+ model_print("----------------------------------\n\n\n");
+ for (uint j = 0; j < tuner->problems.getSize(); j++) {
+ Problem *problem = tuner->problems.get(j);
+ model_print("Problem %s\n", problem->getProblem());
+ model_print("Time = %lld\n", tuner->getTime(problem));
+ }
+ }
+}
+
+bool RandomTuner::tunerExists(SearchTuner *tuner){
+ for(uint i=0; i< explored.getSize(); i++){
+ if(explored.get(i)->getTuner()->equalUsed(tuner))
+ return true;
+ }
+ return false;
+}
+
+void RandomTuner::addTuner(SearchTuner *tuner) {
+ TunerRecord *t = new TunerRecord(tuner);
+ tuners.push(t);
+ t->tunernumber = allTuners.getSize();
+ allTuners.push(t);
+}
+
+long long RandomTuner::evaluate(Problem *problem, TunerRecord *tuner) {
+ char buffer[512];
+ {
+ snprintf(buffer, sizeof(buffer), "problem%u", execnum);
+
+ ofstream myfile;
+ myfile.open (buffer, ios::out);
+
+
+ if (myfile.is_open()) {
+ myfile << problem->getProblem() << endl;
+ myfile << problem->problemnumber << endl;
+ myfile.close();
+ }
+ }
+
+ {
+ snprintf(buffer, sizeof(buffer), "tunernum%u", execnum);
+
+ ofstream myfile;
+ myfile.open (buffer, ios::out);
+
+
+ if (myfile.is_open()) {
+ myfile << tuner->tunernumber << endl;
+ myfile.close();
+ }
+ }
+
+ //Write out the tuner
+ snprintf(buffer, sizeof(buffer), "tuner%u", execnum);
+ tuner->getTuner()->serialize(buffer);
+
+ //compute timeout
+ uint timeinsecs = problem->besttime / NANOSEC;
+ uint adaptive = (timeinsecs > 30) ? timeinsecs * 5 : 150;
+ uint maxtime = (adaptive < timeout) ? adaptive : timeout;
+
+ //Do run
+ snprintf(buffer, sizeof(buffer), "./run.sh deserializerun %s %u tuner%u result%u > log%u", problem->getProblem(), maxtime, execnum, execnum, execnum);
+ int status = system(buffer);
+
+ long long metric = -1;
+ int sat = IS_INDETER;
+
+ if (status == 0) {
+ //Read data in from results file
+ snprintf(buffer, sizeof(buffer), "result%u", execnum);
+
+ ifstream myfile;
+ myfile.open (buffer, ios::in);
+
+
+ if (myfile.is_open()) {
+ myfile >> metric;
+ myfile >> sat;
+ myfile.close();
+ }
+ updateTimeout(problem, metric);
+ snprintf(buffer, sizeof(buffer), "tuner%uused", execnum);
+ tuner->getTuner()->addUsed(buffer);
+ }
+ //Increment execution count
+ execnum++;
+
+ if (problem->result == UNSETVALUE && sat != IS_INDETER) {
+ problem->result = sat;
+ } else if (problem->result != sat && sat != IS_INDETER) {
+ model_print("******** Result has changed ********\n");
+ }
+ if (sat == IS_INDETER && metric != -1) {//The case when we have a timeout
+ metric = -1;
+ }
+ return metric;
+}
+
+void RandomTuner::updateTimeout(Problem *problem, long long metric) {
+ if (metric < problem->besttime) {
+ problem->besttime = metric;
+ }
+}
+
+void RandomTuner::tune() {
+ for (uint r = 0; r < budget; r++) {
+ model_print("Round %u of %u\n", r, budget);
+ for (uint i = 0; i < tuners.getSize(); i++){
+ TunerRecord *tuner = tuners.get(i);
+ bool isNew = true;
+ for (uint j = 0; j < problems.getSize(); j++){
+ Problem *problem = problems.get(j);
+ long long metric = tuner->getTime(problem);
+ if(metric == -1){
+ metric = evaluate(problem, tuner);
+ ASSERT(tuner->getTime(problem) == -1);
+ tuner->problems.push(problem);
+ model_print("%u.Problem<%s>\tTuner<%p, %d>\tMetric<%lld>\n", i, problem->problem,tuner, tuner->tunernumber, metric);
+ if (metric != -1)
+ tuner->setTime(problem, metric);
+ else
+ tuner->setTime(problem, -2);
+ if(tunerExists(tuner->getTuner())){
+ //Solving the first problem and noticing the tuner
+ //already exists
+ isNew = false;
+ break;
+ }
+ }
+ }
+ if(isNew){
+ explored.push(tuner);
+ }
+
+ }
+ uint tSize = tuners.getSize();
+ for (uint i = 0; i < tSize; i++) {
+ SearchTuner *tmpTuner = mutateTuner(tuners.get(i)->getTuner(), budget);
+ while(subtuneIndex(tmpTuner) != -1){
+ tmpTuner->randomMutate();
+ }
+ TunerRecord *tmp = new TunerRecord(tmpTuner);
+ tmp->tunernumber = allTuners.getSize();
+ model_print("Mutated tuner %u to generate tuner %u\n", tuners.get(i)->tunernumber, tmp->tunernumber);
+ allTuners.push(tmp);
+ tuners.set(i, tmp);
+ }
+ }
+ printData();
+
+}
+
+SearchTuner *RandomTuner::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;
+}
+
+int RandomTuner::subtuneIndex(SearchTuner *newTuner){
+ for (uint i=0; i< explored.getSize(); i++){
+ SearchTuner *tuner = explored.get(i)->getTuner();
+ if(tuner->isSubTunerof(newTuner)){
+ return i;
+ }
+ }
+ return -1;
+}
def getRunNumber(self):
return self.args.number[0]
+PROBLEMS = []
+
TUNABLEHEADER = ["DECOMPOSEORDER", "MUSTREACHGLOBAL", "MUSTREACHLOCAL", "MUSTREACHPRUNE", "OPTIMIZEORDERSTRUCTURE",
"ORDERINTEGERENCODING", "PREPROCESS", "NODEENCODING", "EDGEENCODING", "MUSTEDGEPRUNE", "ELEMENTOPT",
"ENCODINGGRAPHOPT", "ELEMENTOPTSETS", "PROXYVARIABLE", "MUSTVALUE", "NAIVEENCODER", "VARIABLEORDER",
row["EXECTIME"] = configs["EXECTIME"]
def loadProblemName(row,filename):
+ global PROBLEMS
with open(filename) as f:
- row["PROBLEM"] = f.readline().replace("\n","")
+ problem = f.readline().replace("\n","")
+ probNumber = int(f.readline())
+ if probNumber >= len(PROBLEMS):
+ PROBLEMS.insert(probNumber,problem)
+ elif PROBLEMS[probNumber] != problem:
+ PROBLEMS[probNumber] = problem
+ row["PROBLEM"] = problem
+
def loadTunerNumber(row, filename):
with open(filename) as f:
row["TUNERNUMBER"] = f.readline().replace("\n","")
rows.append(row)
return rows, data
-def tunerNumberAnalysis(file, rows):
+def tunerCountAnalysis(file, rows):
global TUNABLEHEADER
+ global PROBLEMS
tunercount = {}
tunernumber = {}
for row in rows:
mystr=""
for i in range(18):
- mystr+=row[TUNABLEHEADER[i]]
+ if not row[TUNABLEHEADER[i]]:
+ mystr += "."
+ else:
+ mystr+=row[TUNABLEHEADER[i]]
if mystr not in tunercount:
tunercount.update({mystr : 1})
tunernumber.update({mystr : str(row["TUNERNUMBER"])})
print ("Number of repititive tuners")
for key in tunercount:
if tunercount[key] > 1:
- print (key + "(ids:" + tunernumber[key] + ") = #" + str(tunercount[key]))
+ print key + "(ids:" + tunernumber[key] + ") = #" + str(tunercount[key])
+
+def combineRowForEachTuner(rows):
+ global PROBLEMS
+ newRows = []
+ combined = None
+ for row in rows:
+ if row["PROBLEM"] == PROBLEMS[0]:
+ combined = row
+ for key in row:
+ if row[key]:
+ combined[key] = row[key]
+ if row["PROBLEM"] == PROBLEMS[len(PROBLEMS)-1]:
+ newRows.append(combined)
+ return newRows
def transformDataset(rows):
print(rows)
+
+
def main():
global TUNABLEHEADER
file = open("tuner.csv", "w")
rows, data = analyzeLogs(file)
- tunerNumberAnalysis(file, rows)
+ tunerCountAnalysis(file, combineRowForEachTuner(rows) )
file.close()
#transformDataset(data)
pl.plot(data, TUNABLEHEADER)
- return
+
if __name__ == "__main__":
main()
projects / satune.git / commitdiff