/
train.py
executable file
·80 lines (65 loc) · 2.4 KB
/
train.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
import json
import pprint
from shutil import copyfile
import datetime
import argparse
import os
from path import Path
from easydict import EasyDict
import basic_train
from logger import init_logger
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('-c', '--config', default='configs/sintel_ft.json')
parser.add_argument('-e', '--evaluate', action='store_true')
parser.add_argument('-m', '--model', default=None)
parser.add_argument('-n', '--name', default='')
parser.add_argument('-r', '--resume', default=None)
parser.add_argument('-u', '--user', default='user')
parser.add_argument('--n_gpu', type=int, default=2)
parser.add_argument('--DEBUG', action='store_true')
args = parser.parse_args()
if args.resume is not None:
args.resume = Path(args.resume)
args.config = args.resume / 'config.json'
with open(args.config) as f:
cfg = EasyDict(json.load(f))
cfg.train.DEBUG = args.DEBUG
if args.DEBUG:
cfg.train.update({
'epoch_num': 10,
'epoch_size': 2,
'print_freq': 1,
'record_freq': 1,
'val_epoch_size': 1,
'valid_size': 2
})
if args.evaluate:
cfg.train.update({
'epochs': 1,
'epoch_size': -1,
'valid_size': 0,
'workers': 1,
'val_epoch_size': 1,
})
if args.model is not None:
cfg.train.pretrained_model = args.model
cfg.train.n_gpu = args.n_gpu
# store files day by day
curr_time = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
if args.resume is not None:
cfg.save_root = args.resume
else:
if args.name == '':
args.name = os.path.basename(args.config)[:-5]
cfg.save_root = Path('/YOUR/SAVE/ROOT/' + args.user) / curr_time + "_" + args.name
cfg.save_root.makedirs_p()
copyfile(args.config, cfg.save_root / 'config.json')
# init logger
_log = init_logger(log_dir=cfg.save_root, filename='train_' + curr_time + '.log')
_log.info('=> slurm jobid: {}'.format(os.environ.get('SLURM_JOBID')))
_log.info('will save everything to {}'.format(cfg.save_root))
# show configurations
cfg_str = pprint.pformat(cfg)
_log.info('=> configurations \n ' + cfg_str)
basic_train.main(cfg, _log, resume=args.resume is not None)