-
Notifications
You must be signed in to change notification settings - Fork 0
/
argparser.py
180 lines (160 loc) · 9.45 KB
/
argparser.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
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
import argparse
def add_arguments_lipschitz(parser):
parser.add_argument('--lip', action='store_true', help='1-lipschitz network')
parser.add_argument('--global-lip', action='store_true')
def add_arguments_regularizers_and_init(parser):
parser.add_argument('--reg-obj', '--pre-obj', type=str, nargs='+', default=['relu', 'tightness'])
parser.add_argument('--reg-lambda', '--pi', type=float, default=0.5)
parser.add_argument('--reg', action='store_true')
parser.add_argument('--ccibp', action="store_true")
parser.add_argument('--ccibp_coeff', type=float, default=0)
parser.add_argument('--mtlibp', action="store_true")
parser.add_argument('--mtlibp_coeff', type=float, default=0)
parser.add_argument('--expibp', action="store_true")
parser.add_argument('--expibp_coeff', type=float, default=0)
parser.add_argument('--sabr', action="store_true")
parser.add_argument('--sabr_coeff', type=float, default=0)
parser.add_argument('--l1_coeff', type=float, default=1e-5)
parser.add_argument('--min-eps-reg', type=float, default=1e-6)
parser.add_argument('--tol', type=float, default=0.5)
parser.add_argument('--num-reg-epochs', type=int, default=0)
parser.add_argument('--no-reg-dec', action='store_true')
parser.add_argument('--manual-init', action='store_true')
parser.add_argument('--init-method', type=str, default='ibp')
parser.add_argument('--kaiming_init', action='store_true')
parser.add_argument('--no-init', action='store_true', help='No initialization')
parser.add_argument('--length', type=int)
parser.add_argument('--bounding_algorithm', type=str, default='IBP', choices=['IBP', 'CROWN-IBP'],
help='Bounds to use for verified loss')
def add_arguments_data(parser):
parser.add_argument('--random-crop', type=int, default=2)
parser.add_argument('--num-class', type=int, default=10)
parser.add_argument('--no-data-aug', action='store_true')
parser.add_argument('--test-batch-size', type=int)
parser.add_argument('--batch-size', type=int)
parser.add_argument('--data_loader_workers', type=int, default=0)
def add_arguments_eps(parser):
parser.add_argument('--eps', type=float)
parser.add_argument('--min-eps', type=float, default=0)
parser.add_argument('--init-eps', type=float)
parser.add_argument('--fix-eps', action='store_true', help='No epsilon scheduling')
parser.add_argument('--scheduler_name', type=str, default='SmoothedScheduler')
parser.add_argument('--scheduler_opts', type=str, default='start=2,length=80')
parser.add_argument('--train-eps-mul', type=float, default=1.0)
def add_arguments_opt(parser):
parser.add_argument('--lr', type=float, default=5e-4)
parser.add_argument('--lr-decay-factor', type=float, default=0.2)
parser.add_argument('--lr-decay-milestones', type=str, default='10000')
parser.add_argument('--opt', type=str, default='Adam')
parser.add_argument('--momentum', type=float, default=0.9, help="Momentum for SGD")
parser.add_argument('--grad-norm', type=float, default=10.0)
parser.add_argument('--weight-decay', '--wd', type=float, default=0)
parser.add_argument('--grad-acc-steps', type=int, default=1)
def add_arguments_objective(parser):
parser.add_argument('--loss', type=str, default='ce')
def override_neurips2021(args):
# Rename for compatibility
if args.method == 'default':
args.method = 'vanilla'
elif args.method == 'reg':
args.method = 'fast'
# Override arguments depending on `method`
if args.method == 'reg-only' or args.method == 'fast' and args.no_init:
args.reg = True
elif args.method == 'fast':
args.reg = args.manual_init = True
elif args.method == 'manual':
args.manual_init = True
elif args.method == 'crown':
args.bound_type = 'CROWN'
elif args.method in ['pgd', 'fgsm', 'trades']:
args.mode = 'adv'
print('Regularizer:', args.reg)
print('Manual initialization:', args.manual_init)
if args.mode == 'adv':
args.fix_eps = True
args.scheduler_opts = 'start=1,length=0'
args.scheduler_name = 'LinearScheduler'
if args.length:
if args.length == 20:
args.scheduler_opts = 'start=2,length=20'
args.lr_decay_milestones = '50,60'
args.num_epochs = 70
elif args.length == 80:
args.scheduler_opts = 'start=2,length=80'
args.lr_decay_milestones = '120,140'
args.num_epochs = 160
else:
raise ValueError('Unknown length {}'.format(args.length))
if args.reg:
# Overridde the legacy num_reg_epochs
start, length = args.scheduler_opts.split(',')
start = int(start.split('=')[1])
length = int(length.split('=')[1])
args.num_reg_epochs = start + length - 1
def add_arguments_pgd(parser):
parser.add_argument('--train_att_n_steps', default=None, type=int, help='number of steps for the attack')
parser.add_argument('--train_att_step_size', default=0.25, type=float,
help='step size for the attack (relative to epsilon)')
parser.add_argument('--test_att_n_steps', default=None, type=int, help='number of steps for the attack')
parser.add_argument('--test_att_step_size', default=None, type=float,
help='step size for the attack (relative to epsilon)')
parser.add_argument('--attack_eps_factor', default=1.0, type=float, help='larger eps ratio for attack')
def add_arguments_verification(parser):
parser.add_argument('--oval_bab_config', help='OVAL BaB config file')
parser.add_argument('--oval_bab_timeout', default=60, type=int, help='number of [s] to run OVAL BaB for')
parser.add_argument('--ib_batch_size', default=512, type=int, help='number of ibs that can be computed at once')
parser.add_argument('--start_idx', default=0, type=int, help='specific index to start')
parser.add_argument('--end_idx', default=-1, type=int, help='specific index to end or -1 to do all')
parser.add_argument('--no_load', action='store_true', help='verify from scratch')
parser.add_argument('--crown_ver', action='store_true', help='verify with CROWN')
parser.add_argument('--lirpa_crown_batch', default=None, type=int, help='LiRPA CROWN batch size for verification')
parser.add_argument('--aux_label', default=None, type=str, help='Auxiliary label for identification purposes')
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument('--debug', action='store_true')
parser.add_argument('--verify', '--infer', action='store_true', help='verification mode, do not train')
parser.add_argument('--load', type=str, default='', help='Load reged model')
parser.add_argument('--config', type=str)
parser.add_argument('--device', type=str, default='cuda', choices=['cpu', 'cuda'], help='use cpu or cuda')
parser.add_argument('--log-interval', type=int, default=1000)
parser.add_argument('--seed', type=int)
parser.add_argument('--dir', type=str, default='model')
parser.add_argument('--model', type=str, default='cnn')
parser.add_argument('--loss-fusion', action='store_true')
parser.add_argument('--num-epochs', type=int, default=160)
parser.add_argument('--auto-load', action='store_true', help='Automatically load the latest checkpoint in the directory without specifying the checkpoint file')
parser.add_argument('--method', type=str, default=None,
choices=['vanilla', 'fast', 'crown',
'default', 'manual', 'reg', 'pgd', 'fgsm', 'trades'])
parser.add_argument('--test-interval', type=int, default=1)
parser.add_argument('--plot', action='store_true')
parser.add_argument('--natural', action='store_true', help='Natural training')
parser.add_argument('--check-nan', action='store_true')
parser.add_argument('--w-scale-cls', type=float, default=100, help='Weight scaling for the classification layer')
parser.add_argument('--multi-gpu', action='store_true')
parser.add_argument('--no-loss-fusion', action='store_true')
parser.add_argument('--save-all', action='store_true', help='Save all the checkpoints')
parser.add_argument('--model-params', type=str, default='')
parser.add_argument('--mode', type=str, default='cert', choices=['cert', 'natural'])
parser.add_argument('--eval', action='store_true')
parser.add_argument('--wandb_label', default=None, type=str, help='if non-None, logs training data to wandb')
parser.add_argument('--valid_share', default=None, type=float, help='if non-None, use a validation split '
'of (1 - valid_share) of the training set')
parser.add_argument('--valid_shuffle', action='store_true', help='Shuffle dataset for validation')
parser.add_argument('--log_losses_on_train', action='store_true',
help='used for log_losses only, runs the experiment '
'on the training set')
parser.add_argument('--disable_train_tf32', action='store_true',
help='disable tf32 for training (already disabled everywhere else)')
add_arguments_data(parser)
add_arguments_eps(parser)
add_arguments_opt(parser)
add_arguments_objective(parser)
add_arguments_regularizers_and_init(parser)
add_arguments_lipschitz(parser)
add_arguments_pgd(parser)
add_arguments_verification(parser)
args = parser.parse_args()
override_neurips2021(args)
return args