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defaults.py
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55 lines (44 loc) · 2.19 KB
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import re
import argparse
def match_model_name(model_name):
"""
Asserts that the model name is valid and extract the values.
"""
# Model has to match the following pattern:
# XXXXX_YY_ZZ where XXXXX is the model name.
# XXXX can have any length, but YY and ZZ have to be av, a or v.
regex = re.compile(r'^([a-zA-Z0-9]+)_([a|v]{1,2})_([a|v]{1,2})$')
match = regex.match(model_name)
if match is None:
raise argparse.ArgumentTypeError(
'Model name must be in the following format: '
'XXXXX_YY_ZZ where XXXX is the model name and YY and ZZ '
'have to be av, a or v.')
return match.groups()
class Argparser(argparse.ArgumentParser):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
print('Loading argparser...')
# Model config
self.add_argument('-m', '--model', required=True, type=str, help='Model to use for training')
self.add_argument('--ckpt_path', type=str, default=None, help='Resume from checkpoint')
self.add_argument('--find_lr', action='store_true', default=False, help='Find learning rate')
self._add_model_cfg()
self.add_argument('--batch_size', type=int, default=10, help='Batch size')
def add_train_cfg(self):
parser = self.add_argument_group("train_cfg")
parser.add_argument('--epochs', type=int, default=100, help='Number of epochs')
parser.add_argument('--lr', type=float, default=0.005, help='Learning rate')
parser.add_argument('--weight_decay', type=float, default=1e-5, help='Weight decay')
parser.add_argument('--momentum', type=float, default=0.9, help='Momentum')
parser.add_argument('--patience', type=int, default=10, help='Patience')
return self
def add_test_cfg(self):
parser = self.add_argument_group("test_cfg")
parser.add_argument('--test_dir', type=str, required=True, default=None, help='Test evaluation directory')
return self
def build(self):
args = self.parse_args()
print('Argparser loaded!')
print('Adding atributes to argparser...')
return args