config.py

#-*- coding: utf-8 -*-
import argparse

def str2bool(v):
    return v.lower() in ('true', '1')

arg_lists = []
parser = argparse.ArgumentParser()

def add_argument_group(name):
    arg = parser.add_argument_group(name)
    arg_lists.append(arg)
    return arg

# Network
net_arg = add_argument_group('Network')
net_arg.add_argument('--input_scale_size', type=int, default=64,
                     help='input image will be resized with the given value as width and height')
net_arg.add_argument('--g_num_layer', type=int, default=3)
net_arg.add_argument('--d_num_layer', type=int, default=5)
net_arg.add_argument('--cnn_type', type=int, default=0)
net_arg.add_argument('--fc_hidden_dim', type=int, default=128, help='only for toy dataset')

# Data
data_arg = add_argument_group('Data')
data_arg.add_argument('--dataset', type=str, default='edges2shoes')
data_arg.add_argument('--batch_size', type=int, default=200)
data_arg.add_argument('--a_grayscale', type=str2bool, default=False)
data_arg.add_argument('--b_grayscale', type=str2bool, default=False)
data_arg.add_argument('--num_worker', type=int, default=12)

# Training / test parameters
train_arg = add_argument_group('Training')
train_arg.add_argument('--is_train', type=str2bool, default=True)
train_arg.add_argument('--optimizer', type=str, default='adam')
train_arg.add_argument('--max_step', type=int, default=500000)
train_arg.add_argument('--lr', type=float, default=0.0002)
train_arg.add_argument('--beta1', type=float, default=0.5)
train_arg.add_argument('--beta2', type=float, default=0.999)
train_arg.add_argument('--loss', type=str, default="log_prob",
                       choices=["log_prob"], help="least square loss doesn't work well")
train_arg.add_argument('--weight_decay', type=float, default=0.0001)

# Misc
misc_arg = add_argument_group('Misc')
misc_arg.add_argument('--load_path', type=str, default='')
misc_arg.add_argument('--log_step', type=int, default=50)
misc_arg.add_argument('--save_step', type=int, default=500)
misc_arg.add_argument('--num_log_samples', type=int, default=3)
misc_arg.add_argument('--log_level', type=str, default='INFO', choices=['INFO', 'DEBUG', 'WARN'])
misc_arg.add_argument('--log_dir', type=str, default='logs')
misc_arg.add_argument('--data_dir', type=str, default='data')
misc_arg.add_argument('--num_gpu', type=int, default=1)
misc_arg.add_argument('--test_data_path', type=str, default=None,
                      help='directory with images which will be used in test sample generation')
misc_arg.add_argument('--sample_per_image', type=int, default=64,
                      help='# of sample per image during test sample generation')
misc_arg.add_argument('--random_seed', type=int, default=123)
misc_arg.add_argument('--skip_pix2pix_processing', type=str2bool, default=False,
                      help='just for fast debugging in poor cpu machine')

def get_config():
    config, unparsed = parser.parse_known_args()
    return config, unparsed