137 lines
3.7 KiB
Python
Executable File
137 lines
3.7 KiB
Python
Executable File
import psutil
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import pickle
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import arguments
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from time import sleep
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from pathlib import Path
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import subprocess as sub
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from arguments import makeArguments
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def kill(proc_pid):
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process = psutil.Process(proc_pid)
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for proc in process.children(recursive=True):
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proc.kill()
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process.kill()
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cfg = {
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"model": {"net_type": None, "type": None, "size": None, "layer_type":
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"lrt", "activation_type": "softplus", "priors": {
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'prior_mu': 0,
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'prior_sigma': 0.1,
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'posterior_mu_initial': (0, 0.1), # (mean,std) normal_
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'posterior_rho_initial': (-5, 0.1), # (mean,std) normal_
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},
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"n_epochs": 100,
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"sens": 1e-9,
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"energy_thrs": 10000,
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"acc_thrs": 0.99,
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"lr": 0.001,
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"num_workers": 4,
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"valid_size": 0.2,
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"batch_size": 256,
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"train_ens": 1,
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"valid_ens": 1,
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"beta_type": 0.1, # 'Blundell','Standard',etc.
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# Use float for const value
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},
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"data": None,
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"stopping_crit": None,
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"save": None,
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"pickle_path": None,
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}
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args = makeArguments(arguments.all_args)
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check = list(args.values())
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if all(v is None for v in check):
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raise Exception("One argument required")
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elif None in check:
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if args['f'] is not None:
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cmd = ["python", "main_frequentist.py"]
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cfg["model"]["type"] = "freq"
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elif args['b'] is not None:
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cmd = ["python", "main_bayesian.py"]
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cfg["model"]["type"] = "bayes"
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else:
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raise Exception("Only one argument allowed")
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wide = args["f"] or args["b"]
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cfg["model"]["size"] = wide
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cfg["data"] = args["dataset"]
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cfg["model"]["net_type"] = args["net_type"]
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if args['EarlyStopping']:
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cfg["stopping_crit"] = 2
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elif args['EnergyBound']:
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cfg["stopping_crit"] = 3
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elif args['AccuracyBound']:
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cfg["stopping_crit"] = 4
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else:
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cfg["stopping_crit"] = 1
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if args['Save']:
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cfg["save"] = 1
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else:
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cfg["save"] = 0
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cfg["pickle_path"] = "{}_wattdata_{}.pkl".format(cfg["model"]["type"],
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cfg["model"]["size"])
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with open("configuration.pkl", "wb") as f:
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pickle.dump(cfg, f)
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# print(args)
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# print(cfg)
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sleep(3)
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cpu_watt = "cpu_watt.sh"
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ram = "mem_free.sh"
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gpu = "radeontop.sh"
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path_cpu_watt = Path(cpu_watt)
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path_ram = Path(ram)
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path_gpu = Path(gpu)
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path_cpu_watt = str(Path(cpu_watt).absolute()) + '/' + cpu_watt
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path_ram = str(Path(ram).absolute()) + '/' + ram
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path_gpu = str(Path(gpu).absolute()) + '/' + gpu
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if cmd[1] == "main_frequentist.py":
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cmd2 = [path_cpu_watt, "freq_{}_cpu_watts".format(wide)]
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cmd3 = [path_ram, "freq_{}_ram_use".format(wide)]
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cmd4 = [path_gpu, "freq_{}_flop_app".format(wide)]
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elif cmd[1] == "main_bayesian.py":
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cmd2 = [path_cpu_watt, "bayes_{}_cpu_watts".format(wide)]
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cmd3 = [path_ram, "bayes_{}_ram_use".format(wide)]
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cmd4 = [path_gpu, "bayes_{}_flop_app".format(wide)]
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path = sub.check_output(['pwd'])
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path = path.decode()
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path = path.replace('\n', '')
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startWattCounter = 'python ' + path + '/amd_sample_draw.py'
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p1 = sub.Popen(cmd)
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p2 = sub.Popen(startWattCounter.split(), stdin=sub.PIPE, stdout=sub.PIPE,
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stderr=sub.PIPE)
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p3 = sub.Popen(cmd2, stdin=sub.PIPE, stdout=sub.PIPE, stderr=sub.PIPE)
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p4 = sub.Popen(cmd3, stdin=sub.PIPE, stdout=sub.PIPE, stderr=sub.PIPE)
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p5 = sub.Popen(cmd4, stdin=sub.PIPE, stdout=sub.PIPE, stderr=sub.PIPE)
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retcode = p1.wait()
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print("Return code: {}".format(retcode))
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p1.kill()
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kill(p2.pid)
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kill(p3.pid)
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kill(p4.pid)
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kill(p5.pid)
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