def build(self):
runs = []
for epsilon in configStep(self.config):
job = Job(epsilon, self.mapRatio)
run = Run([job, job], self.delta, epsilon)
runs.append(run)
return Experiment(runs, self.__class__.details, self.config)
def build(self):
runs = []
for beta in configStep(self.config):
job1 = Job(self.job0.epsilon, self.job0.mapRatio * beta)
run = Run([self.job0, job1], self.delta, beta)
runs.append(run)
return Experiment(runs, self.__class__.details, self.config)
def build_jobs(epoch_no, network=None): local_job_name = NAMER(epoch_no) + '_LOCAL' local_job = Job(local_job_name, local_exp, local_nests, save_loc=SCHEDULE_DIR) local_job.write() global_job_name = NAMER(epoch_no) + '_GLOBAL' global_job = Job(global_job_name, global_exp, global_nests, save_loc=SCHEDULE_DIR) global_job.write()
def build_jobs(epoch_no, network=None): local_job_name = '%s_EPOCH%04d_LOCAL' % (NAME, epoch_no) local_job = Job(local_job_name, local_exp, local_nests, save_loc=SCHEDULE_DIR) local_job.write() global_job_name = '%s_EPOCH%04d_GLOBAL' % (NAME, epoch_no) global_job = Job(global_job_name, global_exp, global_nests, save_loc=SCHEDULE_DIR) global_job.write()
def build_jobs(epoch_no, network=None, NAME=NAME, reg_name=reg_name):
prefix = '%s_REG%s_EPOCH%04d' % (NAME, reg_name, epoch_no)
local_exp = Experiment(LOCAL_METHODS, network=network, **exp_kwargs)
global_exp = Experiment(GLOBAL_METHODS, network=network, **exp_kwargs)
local_job = Job('%s_LOCAL' % prefix, local_exp, local_nests,
save_loc=SCHEDULE_DIR)
global_job = Job('%s_GLOBAL' % prefix, global_exp, global_nests,
save_loc=SCHEDULE_DIR)
local_job.write()
global_job.write()
def build_jobs(network, **exp_kwargs): local_exp = Experiment([FastLip, LipLP, LipMIP], network=network, **exp_kwargs) global_exp = Experiment([LipMIP, FastLip, LipLP, SeqLip, LipSDP, NaiveUB], network=network, **exp_kwargs) prefix = NAME_FXN(network) #prefix = '%s_RELUS%02d' % (NAME, network.num_relus) local_job_name = prefix + "_LOCAL" local_job = Job(local_job_name, local_exp, local_nests, save_loc=SCHEDULE_DIR) global_job_name = prefix + "_GLOBAL" global_job = Job(global_job_name, global_exp, global_nests, save_loc=SCHEDULE_DIR) local_job.write() global_job.write()
def job_from_dict(job_data):
"""
Helper function to create an Arcs Job from CrowdFlower job data.
Args:
job_data (dict): A dictionary of CrowdFlower job data
Returns:
An Arcs Job
"""
metadata = dict(job_data)
data = {
"external_id": job_data["id"],
"platform": "crowdflower",
"metadata": metadata
}
return Job(**data)
def __init__(self, config): self.config = config epsilon = config["epsilon"] mapRatio = config["mapRatio"] self.job0 = Job(epsilon, mapRatio) self.delta = config["delta"]