def main():
parser = argparse.ArgumentParser(description='Baseline')
parser.add_argument('conf_path', type=str, metavar='conf_path',
help='input batch size for training (default: 64)')
parser.add_argument('id', type=int, metavar='experiment_id',
help='Experiment ID')
args = parser.parse_args()
option = Option(args.conf_path)
option.manualSeed = args.id + 1
option.experiment_id = option.experiment_id + "{:0>2d}".format(args.id + 1)
experiment = Experiment(option)
experiment.pruning()
experiment._load_resume()
experiment.fine_tuning()
def main():
parser = argparse.ArgumentParser(description='AuxNet')
parser.add_argument(
'conf_path',
type=str,
metavar='conf_path',
help='the path of config file for training (default: 64)')
parser.add_argument('id',
type=int,
metavar='experiment_id',
help='Experiment ID')
args = parser.parse_args()
option = Option(args.conf_path)
option.manualSeed = args.id + 1
option.experiment_id = option.experiment_id + "{:0>2d}".format(args.id + 1)
experiment = Experiment(option)
experiment.run()
