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Function parse_option

classification/main.py:55–142  ·  view source on GitHub ↗
()

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53
54
55def parse_option():
56 parser = argparse.ArgumentParser(
57 'InternVL training and evaluation script', add_help=False)
58 parser.add_argument('--cfg',
59 type=str,
60 required=True,
61 metavar='FILE',
62 help='path to config file')
63 parser.add_argument(
64 '--opts',
65 help="Modify config options by adding 'KEY VALUE' pairs. ",
66 default=None,
67 nargs='+')
68
69 # easy config modification
70 parser.add_argument('--batch-size',
71 type=int,
72 help='batch size for single GPU')
73 parser.add_argument('--dataset',
74 type=str,
75 help='dataset name',
76 default=None)
77 parser.add_argument('--data-path', type=str, help='path to dataset')
78 parser.add_argument('--zip',
79 action='store_true',
80 help='use zipped dataset instead of folder dataset')
81 parser.add_argument(
82 '--cache-mode',
83 type=str,
84 default='part',
85 choices=['no', 'full', 'part'],
86 help='no: no cache, '
87 'full: cache all data, '
88 'part: sharding the dataset into nonoverlapping pieces and only cache one piece'
89 )
90 parser.add_argument(
91 '--pretrained',
92 help=
93 'pretrained weight from checkpoint, could be imagenet22k pretrained weight'
94 )
95 parser.add_argument('--resume', help='resume from checkpoint')
96 parser.add_argument('--accumulation-steps',
97 type=int,
98 default=1,
99 help='gradient accumulation steps')
100 parser.add_argument(
101 '--use-checkpoint',
102 action='store_true',
103 help='whether to use gradient checkpointing to save memory')
104 parser.add_argument(
105 '--amp-opt-level',
106 type=str,
107 default='O1',
108 choices=['O0', 'O1', 'O2'],
109 help='mixed precision opt level, if O0, no amp is used')
110 parser.add_argument(
111 '--output',
112 default='work_dirs',

Callers 1

main.pyFile · 0.70

Calls 1

get_configFunction · 0.90

Tested by

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