def run(numEpisodes):
print("starting experiment")
processes = list()
# sim.simulations.constants.MINIMUM_BATCH = 1e7
# offloadingOptions = [True, False]
results = multiprocessing.Queue()
finished = multiprocessing.Queue()
# experiments = multiprocessing.Queue()
# REPEATS = 1
# localConstants.REPEATS = 10
numEpisodes = int(numEpisodes)
agentsToTest = [minimalTableAgent, lazyTableAgent,
randomAgent] # localAgent]
for agent in agentsToTest: # [minimalAgent, lazyAgent]:
for _ in range(localConstants.REPEATS):
processes.append(
multiprocessing.Process(target=runThread,
args=(agent, numEpisodes, results,
finished)))
results = executeMulti(processes,
results,
finished,
numResults=len(agentsToTest) * numEpisodes *
localConstants.REPEATS)
# plotting.plotMultiWithErrors("Number of Jobs", results=results, ylabel="Job #", xlabel="Episode #") # , save=True)
plotting.plotMulti("Sleep Time",
results=results,
ylabel="Time Asleep %",
xlabel="Episode #") # , save=True)
def run(numEpisodes):
print("starting experiment")
processes = list()
# sim.simulations.constants.MINIMUM_BATCH = 1e7
# offloadingOptions = [True, False]
results = multiprocessing.Queue()
finished = multiprocessing.Queue()
# experiments = multiprocessing.Queue()
# REPEATS = 1
numDevices = 2
# localConstants.REPEATS = 10
numEpisodes = int(numEpisodes)
# agentsToTest = [minimalTableAgent] #, lazyTableAgent]
# tasks = [[EASY], [EASY, HARD]]
taskOptions = [EASY, HARD]
# taskOptions = [HARD, ALTERNATIVE]
for t in range(len(taskOptions)):
taskOptions[t].identifier = t
print("task", taskOptions[t], taskOptions[t].identifier)
# for agent in agentsToTest: # [minimalAgent, lazyAgent]:
for _ in range(localConstants.REPEATS):
# for taskOptions in tasks:
processes.append(multiprocessing.Process(target=runThread, args=(minimalTableAgent, numEpisodes, numDevices, taskOptions, results, finished)))
results = executeMulti(processes, results, finished, numResults=len(processes) * numEpisodes * numDevices, assembly=experiment.assembleResultsBasic)
# plotting.plotMultiWithErrors("Number of Jobs", results=results, ylabel="Job #", xlabel="Episode #") # , save=True)
plotting.plotMulti("Number of Jobs", results=results, ylabel="EASY/HARD", xlabel="Episode #") # , save=True)
def run():
print("starting experiment")
debug.settings.enabled = False
debug.settings.learnEnabled = False
debug.settings.infoEnabled = False
processes = list()
results = multiprocessing.Queue()
finished = multiprocessing.Queue()
histories = multiprocessing.Queue()
numDevices = 2
numTicks = int(1e1)
agentsToTest = [minimalTableAgent] # , lazyAgent]
for agent in agentsToTest: # [minimalAgent, lazyAgent]:
for _ in range(localConstants.REPEATS):
processes.append(
multiprocessing.Process(target=runThread,
args=(agent, numTicks, numDevices,
results, finished, histories)))
results = executeMulti(processes,
results,
finished,
assembly=assembleResultsBasic,
numResults=localConstants.REPEATS * numTicks * 2)
plotting.plotMulti("Device Power",
results=results,
ylabel="Power (in mW)",
xlabel="Tick #") #, ylim=[0, 0.1]) # , save=True)
# for device in exp.devices:
# device.agent.printModel()
finished.put(True)
if __name__ == "__main__":
setupMultithreading()
results = multiprocessing.Queue()
finished = multiprocessing.Queue()
results = executeMulti([multiprocessing.Process(target=run, args=(results, finished))], results, finished, numResults=numEpisodes * numDevices)
plotting.plotMulti("Competing Agents", results=results, ylabel="Job #", xlabel="Episode #") # , save=True)
# <Lazy Agent> Model
# energyRemaining = 0 jobsInQueue = 0 currentConfig = 0 [ 0.0015 0.0019 3.7539 ]
# energyRemaining = 0 jobsInQueue = 0 currentConfig = 1 [ 25.0000 25.0000 25.0000 ]
# energyRemaining = 0 jobsInQueue = 1 currentConfig = 0 [ -5.8986 0.0019 9.6867 ]
# energyRemaining = 0 jobsInQueue = 1 currentConfig = 1 [ 25.0000 25.0000 25.0000 ]
# energyRemaining = 0 jobsInQueue = 2 currentConfig = 0 [ -0.1022 0.0019 16.4031 ]
# energyRemaining = 0 jobsInQueue = 2 currentConfig = 1 [ 25.0000 25.0000 25.0000 ]
# energyRemaining = 0 jobsInQueue = 3 currentConfig = 0 [ 0.6967 25.0000 -10.7927 ]
# energyRemaining = 0 jobsInQueue = 3 currentConfig = 1 [ 25.0000 25.0000 25.0000 ]
# energyRemaining = 0 jobsInQueue = 4 currentConfig = 0 [ 25.0000 25.0000 25.0000 ]
# energyRemaining = 0 jobsInQueue = 4 currentConfig = 1 [ 25.0000 25.0000 25.0000 ]
# energyRemaining = 1 jobsInQueue = 0 currentConfig = 0 [ 0.0013 0.0019 0.0039 ]
# energyRemaining = 1 jobsInQueue = 0 currentConfig = 1 [ 25.0000 25.0000 25.0000 ]
# energyRemaining = 1 jobsInQueue = 1 currentConfig = 0 [ 0.0012 0.0019 0.2711 ]