-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathedit_main.py
More file actions
92 lines (81 loc) · 3.49 KB
/
edit_main.py
File metadata and controls
92 lines (81 loc) · 3.49 KB
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
from codellmeditor import (
FTHyperParams,
PMETHyperParams,
MALMENHyperParams,
GraceHyperParams,
NON_EDITHyperParams,
ROMEHyperParams,
MEMITHyperParams,
AGraceHyperParams
)
from codellmeditor import BaseEditor, CLMEDataset, EditTrainer, prepare_requests
import argparse
import logging
import gc
import torch
LOG = logging.getLogger(__name__)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('--editing_method', default='MALMEN', type=str)
parser.add_argument('--hparams_dir', default='./hparams/MALMEN/stable-code-3b.yaml', type=str)
parser.add_argument('--data_dir', default='./data/data_loo1', type=str)
parser.add_argument('--data_set', default='EditConala', type=str, choices=["EditConala", "EditCodeSearchNet"])
parser.add_argument('--ds_size', default=None, type=int)
parser.add_argument('--generation_test_interval', default=0, type=int)
parser.add_argument('--continue_from_run', default=None, type=str)
parser.add_argument('--metrics_save_dir', default='./output', type=str)
parser.add_argument('--log_level', default='INFO', type=str)
args = parser.parse_args()
log_level = logging.INFO
if args.log_level == 'DEBUG':
log_level = logging.DEBUG
logging.basicConfig(format = '%(asctime)s - %(levelname)s - %(name)s - %(message)s',
datefmt = '%m/%d/%Y %H:%M:%S',
level = log_level)
train_datas = None
if args.editing_method == 'FT':
editing_hparams = FTHyperParams
elif args.editing_method == 'MEMIT':
editing_hparams = MEMITHyperParams
elif args.editing_method == 'GRACE':
editing_hparams = GraceHyperParams
elif args.editing_method == 'AGRACE':
editing_hparams = AGraceHyperParams
elif args.editing_method == 'PMET':
editing_hparams = PMETHyperParams
elif args.editing_method == 'ROME':
editing_hparams = ROMEHyperParams
elif args.editing_method == 'MALMEN':
editing_hparams = MALMENHyperParams
train_datas = CLMEDataset(f"{args.data_dir}/{args.data_set}/train.json")
elif args.editing_method == 'non-edit':
editing_hparams = NON_EDITHyperParams
else:
raise NotImplementedError
hparams = editing_hparams.from_hparams(args.hparams_dir)
if args.editing_method in ['MALMEN', 'AGRACE']:
train_datas = CLMEDataset(f"{args.data_dir}/{args.data_set}/train.json", tokenizer_name=hparams.tokenizer_name)
test_datas = CLMEDataset(f"{args.data_dir}/{args.data_set}/test.json", size=args.ds_size)
else:
test_datas = CLMEDataset(f"{args.data_dir}/{args.data_set}/all.json", size=args.ds_size)
test_datas = prepare_requests(test_datas, hparams.model_name, args.data_set)
if args.editing_method == 'MALMEN' and hparams.archive is None:
train_datas = prepare_requests(train_datas, hparams.model_name, args.data_set)
trainer = EditTrainer(
config=hparams,
train_set=train_datas,
val_set=test_datas
)
trainer.run()
hparams.archive = trainer.save_path
del trainer
torch.cuda.empty_cache()
gc.collect()
editor = BaseEditor.from_hparams(hparams, args.data_set)
metrics, edited_model, _ = editor.edit(
requests = test_datas,
keep_original_weight = True,
generation_test_interval = args.generation_test_interval,
data_set_name = args.data_set,
continue_from_run = args.continue_from_run
)