def runThread(results, finished):
exp = SimpleSimulation(numDevices=4,
maxJobs=100,
reconsiderBatches=False,
systemStateClass=minimalSystemState,
agentClass=minimalTableAgent)
exp.setFpgaIdleSleep(1e-2)
exp.setBatterySize(1e6)
try:
for i in range(numJobs):
exp.simulateUntilJobDone()
results.put(
["Loss", exp.completedJobs, exp.sharedAgent.latestLoss, False])
# results.put(["Reward", exp.completedJobs, exp.sharedAgent.latestReward, True])
# results.put(["Action", exp.completedJobs, exp.sharedAgent.latestAction, True])
# results.put(["MAE", exp.completedJobs, exp.sharedAgent.latestMAE, True])
# results.put(["MeanQ", exp.completedJobs, exp.sharedAgent.latestMeanQ, True])
except:
traceback.print_exc(file=sys.stdout)
sys.exit(0)
print("Error in experiment:", exp.time)
finished.put(True)
from sim.simulations.SimpleSimulation import SimpleSimulation as Simulation
if __name__ == '__main__':
print("testing simple simulation")
constants.NUM_DEVICES = 2
constants.DEFAULT_ELASTIC_NODE.BATTERY_SIZE = 1e2
constants.OFFLOADING_POLICY = REINFORCEMENT_LEARNING
debug.enabled = True
debug.learnEnabled = True
constants.DRAW_DEVICES = False
exp = Simulation(numDevices=1,
systemStateClass=minimalSystemState,
agentClass=lazyTableAgent)
# for i in range(10):
# exp.simulateTick()
for i in range(1):
exp.simulateUntilJobDone()
# exp.simulateUntilTime(50)
# exp.simulateEpisode()
# try:
# exp.simulateEpisode()
# print("Experiment done!", exp.time)
# except Exception:
# print("number of successful episodes:", exp.episodeNumber)
# print(sys.exc_info())
