protected GenericCudaAlgorithm(CudaParams parameters, StateProxy proxy)
{
Proxy = proxy;
ParticlesCount = parameters.ParticlesCount;
DimensionsCount = parameters.LocationDimensions;
Iterations = parameters.Iterations;
FitnessFunction = parameters.FitnessFunction;
SyncWithCpu = parameters.SyncWithCpu;
FunctionNumber = parameters.FunctionNumber;
InstanceNumber = parameters.InstanceNumber;
evalLogger = PsoServiceLocator.Instance.GetService<EvaluationsLogger>();
}
static void Main(string[] args)
{
var timeStr = DateTime.Now.Hour.ToString("D2") + DateTime.Now.Minute.ToString("D2");
var nodeParamsDeserialize = new ParametersSerializer<NodeParameters>();
var psoParamsDeserialize = new ParametersSerializer<PsoParameters>();
var nodeParams = nodeParamsDeserialize.Deserialize("nodeParams.xml");
var psoParams = psoParamsDeserialize.Deserialize("psoParams.xml");
MachineManager machineManager = new MachineManager(nodeParams.Ip, nodeParams.Ports.ToArray(), nodeParams.NrOfVCpu);
if (nodeParams.PeerAddress != null)
{
try
{
machineManager.Register(nodeParams.PeerAddress);
}
catch (Exception e)
{
Console.WriteLine("Unexpected error occured. Plase try to connect once again.");
return;
}
Console.WriteLine("Working...");
Console.WriteLine("Press ENTER to finish");
ConsoleKeyInfo pressed = new ConsoleKeyInfo();
while (pressed.Key != ConsoleKey.Enter)
{
pressed = Console.ReadKey();
};
}
else
{
if (args.Length < 3)
{
Console.WriteLine("CocoClusterApp <Dim1[,Dim2,Dim3...]> <FunctionsFrom> <FunctionsTo> <Budget>");
return;
}
var dims = args[0];
var functionsFrom = int.Parse(args[1]);
var functionsTo = int.Parse(args[2]);
var budgetMultiplier = int.Parse(args[3]);
var randomGenerator = RandomGenerator.GetInstance(RandomSeed);
CocoLibraryWrapper.cocoSetLogLevel("warning");
var functionsToOptimize = new List<string>();
for (var i = functionsFrom; i <= functionsTo; i++)
{
functionsToOptimize.Add(string.Format("f{0:D3}", i));
}
Console.WriteLine("Press any key on the keyboard when ready...");
Console.ReadKey();
Console.WriteLine("Running the example experiment... (might take time, be patient)");
try
{
/* Set some options for the observer. See documentation for other options. */
var observerOptions =
"result_folder: " +
String.Format("{0}P_{1}G", psoParams.ParticleIterationsToRestart,
psoParams.PsoIterationsToRestart)
+ " algorithm_name: PSO"
+ " algorithm_info: \"A simple Random search algorithm\"";
/* Initialize the suite and observer */
var suite = new Suite("bbob", "year: 2016", "dimensions: " + dims);
var observer = new Observer("bbob", observerOptions);
var benchmark = new Benchmark(suite, observer);
/* Iterate over all problems in the suite */
var evalLogger = new EvaluationsLogger();
PsoServiceLocator.Instance.Register<EvaluationsLogger>(evalLogger);
var fileLogger = new FileLogger("evals.csv");
fileLogger.Log("function_id,gpu_evals,cpu_evals,gpu/cpu");
int instanceCounter = 0;
while ((Problem = benchmark.getNextProblem()) != null)
{
instanceCounter = (instanceCounter + 1) % 15;
if(instanceCounter == 0)
{
evalLogger.RestartCounters();
}
var restarts = -1;
FitnessFunction function;
if (!functionsToOptimize.Contains(Problem.FunctionNumber)) continue;
var settings = SetupOptimizer(psoParams, out function);
var evaluations = (long) settings.FunctionParameters.Dimension * budgetMultiplier;
var evaluationsLeft = evaluations;
do
{
restarts++;
settings.Iterations =
(int)Math.Ceiling(evaluations / ((double)settings.Particles.Sum(pc => pc.Count)));
//var sendParams = new PsoParameters()
//{
// Iterations = psoParams.Iterations,
// TargetValueCondition = psoParams.TargetValueCondition,
// IterationsLimitCondition = psoParams.IterationsLimitCondition,
// PsoIterationsToRestart = psoParams.PsoIterationsToRestart,
// ParticleIterationsToRestart = psoParams.ParticleIterationsToRestart,
// Epsilon = psoParams.Epsilon,
// FunctionParameters = psoParams.FunctionParameters,
// ParticlesCount = 20,
// Particles = new ParticlesCount[1] { new ParticlesCount(PsoParticleType.Standard, 20)}
//};
machineManager.StartPsoAlgorithm(psoParams);
machineManager.GetResult();
var evalsDone = Problem.getEvaluations();
evaluationsLeft = evaluations - evalsDone;
} while (!Problem.isFinalTargetHit() && evaluationsLeft > 0 );
evalLogger.IncreaseCpuEvals((int)Problem.getEvaluations());
Console.WriteLine("{0} | {1} evaluations | {2} restarts | {3:e} BestEval ", Problem.Id, Problem.getEvaluations(), restarts, function.BestEvaluation.FitnessValue[0]);
if(instanceCounter == 14)
{
fileLogger.Log(String.Format("{0},{1},{2},{3}", Problem.Id.Substring(5,4), evalLogger._cpuEvaluations, evalLogger._gpuEvaluations, evalLogger.Ratio));
}
}
fileLogger.GenerateLog();
benchmark.finalizeBenchmark();
}
catch (Exception e)
{
Console.WriteLine(e.Message);
}
}
Console.WriteLine("Done");
}