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Hadrons: more verbose genetic parameters

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This commit is contained in:
Antonin Portelli 2016-12-07 08:59:58 +09:00
parent c56707e003
commit 49c3eeb378
1 changed files with 17 additions and 7 deletions
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24
extras/Hadrons/Application.cc
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@ -76,7 +76,6 @@ Application::Application(const std::string parameterFileName)
void Application::setPar(const Application::GlobalPar &par)
{
par_ = par;
LOG(Message) << par_.seed << std::endl;
env_.setSeed(strToVec<int>(par_.seed));
}
@ -143,14 +142,23 @@ void Application::schedule(void)
return memPeak;
};
// constrained topological sort using a genetic algorithm
LOG(Message) << "Scheduling computation..." << std::endl;
unsigned int k = 0, gen, prevPeak, nCstPeak = 0;
// build module dependency graph
LOG(Message) << "Building module graph..." << std::endl;
auto graph = env_.makeModuleGraph();
auto con = graph.getConnectedComponents();
std::random_device rd;
// constrained topological sort using a genetic algorithm
LOG(Message) << "Scheduling computation..." << std::endl;
LOG(Message) << " #module= " << graph.size() << std::endl;
LOG(Message) << " population size= " << par_.genetic.popSize << std::endl;
LOG(Message) << " max. generation= " << par_.genetic.maxGen << std::endl;
LOG(Message) << " max. cst. generation= " << par_.genetic.maxCstGen << std::endl;
LOG(Message) << " mutation rate= " << par_.genetic.mutationRate << std::endl;
unsigned int k = 0, gen, prevPeak, nCstPeak = 0;
std::random_device rd;
GeneticScheduler<unsigned int>::Parameters par;
par.popSize = par_.genetic.popSize;
par.mutationRate = par_.genetic.mutationRate;
par.seed = rd();
@ -162,6 +170,7 @@ void Application::schedule(void)
gen = 0;
do
{
LOG(Debug) << "Generation " << gen << ":" << std::endl;
scheduler.nextGeneration();
if (gen != 0)
{
@ -174,13 +183,14 @@ void Application::schedule(void)
nCstPeak = 0;
}
}
LOG(Debug) << "generation " << gen << ":\n" << scheduler;
prevPeak = scheduler.getMinValue();
if (gen % 10 == 0)
{
LOG(Iterative) << "Generation " << gen << ": "
<< MEM_MSG(scheduler.getMinValue()) << std::endl;
}
gen++;
} while ((gen < par_.genetic.maxGen)
and (nCstPeak < par_.genetic.maxCstGen));