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()