Efficiency-of-Neural-Architectures/run_service.py

import psutil
import pickle
import arguments
from time import sleep
import subprocess as sub
from arguments import makeArguments


def kill(proc_pid):
    process = psutil.Process(proc_pid)
    for proc in process.children(recursive=True):
        proc.kill()
    process.kill()

cfg = {
    "model": {"net_type": None, "type": None, "size": None, "layer_type": "lrt",
    "activation_type": "softplus", "priors": {
            'prior_mu': 0,
            'prior_sigma': 0.1,
            'posterior_mu_initial': (0, 0.1),  # (mean, std) normal_
            'posterior_rho_initial': (-5, 0.1),  # (mean, std) normal_
        },
    "n_epochs": 3,
    "sens": 1e-9,    
    "energy_thrs": 10000,
    "acc_thrs": 0.99,     
    "lr": 0.001,
    "num_workers": 4,
    "valid_size": 0.2,
    "batch_size": 256,
    "train_ens": 1,
    "valid_ens": 1,
    "beta_type": 0.1,  # 'Blundell', 'Standard', etc. Use float for const value
    },
    "data": None,
    "stopping_crit": None,
    "save": None,
    "pickle_path": None,
}

args = makeArguments(arguments.all_args)

check = list(args.values())
if all(v is None for v in check):
    raise Exception("One argument required")
elif None in check:
    if args['f'] is not None:
        cmd = ["python", "main_frequentist.py"]
        cfg["model"]["type"] = "frequentist"
    elif args['b'] is not None:
        cmd = ["python", "main_bayesian.py"]
        cfg["model"]["type"] = "bayesian"
else:
    raise Exception("Only one argument allowed")


wide = args["f"] or args["b"]

cfg["model"]["size"] = wide
cfg["data"] = args["dataset"]
cfg["model"]["net_type"] = args["net_type"]


if args['EarlyStopping']:
    cfg["stopping_crit"] = 2
elif args['EnergyBound']:
    cfg["stopping_crit"] = 3
elif args['AccuracyBound']:
    cfg["stopping_crit"] = 4
else:
    cfg["stopping_crit"] = 1
        
if args['Save']:
    cfg["save"] = 1
else:
    cfg["save"] = 0
    

cfg["pickle_path"] = "{}_wattdata_{}.pkl".format(cfg["model"]["type"],cfg["model"]["size"])

with open("configuration.pkl", "wb") as f:
    pickle.dump(cfg, f)

#print(args)
#print(cfg)

sleep(3)


if cmd[1] == "main_frequentist.py":
    cmd2 = ["./cpu_watt.sh", "freq_{}_cpu_watts".format(wide)]
    cmd3 = ["./mem_free.sh", "freq_{}_ram_use".format(wide)]
    cmd4 = ["./radeontop.sh", "freq_{}_flop_app".format(wide)]
elif cmd[1] == "main_bayesian.py":
    cmd2 = ["./cpu_watt.sh", "bayes_{}_cpu_watts".format(wide)]
    cmd3 = ["./mem_free.sh", "bayes_{}_ram_use".format(wide)]
    cmd4 = ["./radeontop.sh", "bayes_{}_flop_app".format(wide)]


path = sub.check_output(['pwd'])
path = path.decode()
path = path.replace('\n', '')

startWattCounter = 'python ' + path + '/amd_sample_draw.py'



p1 = sub.Popen(cmd)
p2 = sub.Popen(startWattCounter.split(),stdin=sub.PIPE,stdout=sub.PIPE, stderr=sub.PIPE)
p3 = sub.Popen(cmd2,stdin=sub.PIPE,stdout=sub.PIPE, stderr=sub.PIPE)
p4 = sub.Popen(cmd3,stdin=sub.PIPE,stdout=sub.PIPE, stderr=sub.PIPE)
p5 = sub.Popen(cmd4,stdin=sub.PIPE,stdout=sub.PIPE, stderr=sub.PIPE)

retcode = p1.wait()
print("Return code: {}".format(retcode))

p1.kill()
kill(p2.pid)
kill(p3.pid)
kill(p4.pid)
kill(p5.pid)