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opt.py
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opt.py
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import configargparse
def config_parser():
parser = configargparse.ArgumentParser()
# general
parser.add_argument('--config', is_config_file=True, help='config file path')
parser.add_argument("--log_dir", type=str, default='./logs/',
help='where to store ckpts and logs')
parser.add_argument("--sample_dir", type=str, default='./samples/',
help='where to store ckpts and logs')
parser.add_argument("--expname", type=str,default='exp_name', help='experiment name')
parser.add_argument("--num_gpus", type=int, default=1)
parser.add_argument("--num_epochs", type=int, default=200)
parser.add_argument("--num_vis_step", type=int, default=300)
parser.add_argument("--num_vis", type=int, default=64)
parser.add_argument("--num_step", type=int, default=1000, help='number of diffusion steps')
parser.add_argument('--save_imgs', default=True, action="store_true",
help='save GT image for each step')
parser.add_argument("--batchSize", type=int, default=128)
parser.add_argument('--optimizer', type=str, default='adam',
help='optimizer type',
choices=['sgd', 'adam', 'radam', 'ranger'])
parser.add_argument('--lr', type=float, default=8e-5,
help='learning rate')
parser.add_argument('--momentum', type=float, default=0.9,
help='learning rate momentum')
parser.add_argument('--weight_decay', type=float, default=0,
help='weight decay')
parser.add_argument('--lr_scheduler', type=str, default='cosine',
help='scheduler type',
choices=['steplr', 'cosine', 'poly'])
#### params for warmup, only applied when optimizer == 'sgd' or 'adam'
parser.add_argument('--warmup_multiplier', type=float, default=1.0,
help='lr is multiplied by this factor after --warmup_epochs')
parser.add_argument('--warmup_epochs', type=int, default=0,
help='Gradually warm-up(increasing) learning rate in optimizer')
###########################
#### params for steplr ####
parser.add_argument('--decay_step', nargs='+', type=int, default=[20],
help='scheduler decay step')
parser.add_argument('--decay_gamma', type=float, default=0.1,
help='learning rate decay amount')
###########################
#### params for poly ####
parser.add_argument('--poly_exp', type=float, default=0.9,
help='exponent for polynomial learning rate decay')
parser.add_argument('--grad_clip', type=float, default=1.0,
help='exponent for polynomial learning rate decay')
return parser.parse_args()