本文整理汇总了C++中Population::OutputLog方法的典型用法代码示例。如果您正苦于以下问题:C++ Population::OutputLog方法的具体用法?C++ Population::OutputLog怎么用?C++ Population::OutputLog使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Population
的用法示例。
在下文中一共展示了Population::OutputLog方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: MasterMaster
/* i would prefer that the thread initialization code happen in MPIMain(), but
* it needs Population pop, which is declared here */
int MasterMaster(MasterGamlConfig& conf, HKYData& data) {
Parameters params;
params.SetParams(conf, data);
LogParams(params);
int nprocs;
MPI_Comm_size(MPI_COMM_WORLD, &nprocs);
bool poo=true;
// while(poo);
Tree::alpha = params.gammaShapeBrlen;
Tree::meanBrlenMuts = params.meanBrlenMuts;
Population pop;
// debug_mpi("about to setup");
pop.Setup(params, &conf, nprocs, 0);
g_sw=&pop.stopwatch;
// debug_mpi("setup");
g_gen = &pop.gen;
pop.CalcAverageFitness();
// start the thread
pthread_t thread;
thread_arg_t targ;
pthread_mutex_init(&lock_pm, NULL);
pthread_mutex_init(&lock_pop, NULL);
pthread_cond_init(&cond_pm, NULL);
g_quit_time = false;
g_processing_message = false;
targ.conf = &const_cast<MasterGamlConfig&>(conf);
targ.pop = &pop;
targ.nprocs = nprocs;
pthread_create(&thread, NULL, thread_func2, (void*)&targ);
cout << "Master running..." << endl;
pop.gen=0;
while (!g_quit_time){
pthread_mutex_lock(&lock_pop);
pop.keepTrack();
pop.OutputFate();
if (pop.gen % conf.logevery == 0) pop.OutputLog();
++pop.gen;
pop.NextGeneration();
if(pop.gen % pop.params->saveEvery == 0) pop.CreateTreeFile( pop.params->treefname );
if(pop.gen % pop.adap->intervalLength == 0){
if(pop.enforceTermConditions == true
&& pop.gen-pop.lastTopoImprove > pop.lastTopoImproveThresh
&& pop.adap->improveOverStoredIntervals < pop.improveOverStoredIntervalsThresh
&& pop.adap->branchOptPrecision == pop.adap->minOptPrecision){
// && pop.paraMan->updateThresh == pop.paraMan->minUpdateThresh){
cout << "Reached termination condition!\nlast topological improvement at gen " << pop.lastTopoImprove << endl;
cout << "Improvement over last " << pop.adap->intervalsToStore*pop.adap->intervalLength << " gen = " << pop.adap->improveOverStoredIntervals << endl;
g_quit_time=true;
break;
}
pop.CheckSubtrees();
//6-20-05 Changing this to deterministically reduce the replace thresh
//every subtreeInterval generations. Tying the reduction of this to
//how often the master recieved new bests from the remotes had odd properties,
//and didn't scale well with differing numbers of processors.
//and it's not clear what a better automated approach would be
//pop.CheckRemoteReplaceThresh();
if(pop.gen % pop.paraMan->subtreeInterval == 0) pop.paraMan->ReduceUpdateThresh();
#ifdef INCLUDE_PERTURBATION
pop.CheckPerturbParallel();
#endif
}
pthread_mutex_unlock(&lock_pop);
pthread_mutex_lock(&lock_pm);
while (g_processing_message)
pthread_cond_wait(&cond_pm, &lock_pm);
pthread_mutex_unlock(&lock_pm);
}
pop.FinalOptimization();
pthread_join(thread, NULL);
return 0;
}
示例2: RemoteSubtreeWorker
int RemoteSubtreeWorker(Population& pop, const GeneralGamlConfig& conf){
int *which, size, rank, tag;
char *tree_strings, *buf;
double score, *models;
bool perturb;
which=new int[5];
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
pop.CalcAverageFitness();
int lastSend=g_sw->SplitTime();
cout << "Remote number " << rank << " running..." << endl;
for (pop.gen = 1; pop.gen < conf.stopgen;){
pop.keepTrack();
pop.OutputFate();
if (pop.gen % conf.logevery == 0)
pop.OutputLog();
++pop.gen;
pop.NextGeneration();
if(g_sw->SplitTime() - lastSend > conf.sendInterval){
debug_mpi("SYNCH COMM (node 0)");
//send our best individual to the master
RemoteSendBestTree(pop);
lastSend=g_sw->SplitTime();
if(pop.params->stoptime - g_sw->SplitTime() < 0){
debug_mpi("time limit of %d seconds reached...", pop.params->stoptime);
break;
}
}
//Check for a new tree from the master
bool firstmessage=true;
bool gotmessage=false;
int subtreeNode;
while(RecvMPIMessage(&tree_strings, &size, 0, &tag, false)==true){
//check for a quit message
if(tag == TAG_QUIT) {
debug_mpi("\trecv: quit message");
delete [] which;
debug_mpi("quitting");
return 0;
}
//
bool gotNewIndiv=false;
int recievedDefNumber;
debug_mpi("SYNCH COMM (node 0)");
gotmessage=true;
assert(tag == TAG_TREE_STRINGS || tag==TAG_PERTURB);
if(firstmessage==false) debug_mpi("\tfound a newer message...");
if(tag != TAG_PERTURB){
gotNewIndiv=true;
RecvMPIMessage(&buf, &size, 0, &tag, true);
assert(tag == TAG_MODEL);
models=(double*) buf;
debug_mpi("\tgot new ind" );
RecvMPIMessage(&buf, &size, 0, &tag, true);
// if(tag != TAG_PERTURB){
perturb=false;
assert(tag == TAG_SUBTREE_DEFINE);
subtreeNode=atoi(buf);
if(subtreeNode!=0){
delete []buf;
RecvMPIMessage(&buf, &size, 0, &tag, true);
assert(tag == TAG_SUBTREE_ITERATION);
recievedDefNumber=atoi(buf);
debug_mpi("\tworking on subtree def %d, node %d", recievedDefNumber, subtreeNode);
}
else recievedDefNumber=0;
}
else{
pop.pertMan->pertType=atoi(tree_strings);
perturb=true;
}
//if the current best and the new tree are either both accurate for the same subtree def or both
//inaccurate for subtrees, just replace the worst individual, rather than the
// whole pop, that way if the tree is old and worse that what the remote
// already has it won't matter
if(gotNewIndiv){
*which=(int)pop.cumfit[0][0];
debug_mpi("\treplacing indiv %d", *which);
pop.ReplaceSpecifiedIndividuals(1, which, tree_strings, models);
if(recievedDefNumber!=pop.subtreeDefNumber || (pop.subtreeNode!=0 && subtreeNode!=0)){
pop.AssignSubtree(subtreeNode, *which);
pop.CalcAverageFitness();
debug_mpi("\tfilling pop with clones of %d", *which);
pop.SetNewBestIndiv(*which);
pop.FillPopWithClonesOfBest();
pop.subtreeDefNumber=recievedDefNumber;
}
delete [] models;
delete [] buf;
//.........这里部分代码省略.........