-
Notifications
You must be signed in to change notification settings - Fork 1
/
lightning_model.py
32 lines (27 loc) · 1.1 KB
/
lightning_model.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
import argparse
from pytorch_lightning.core.lightning import LightningModule
class LightningModel(LightningModule):
"""Super class"""
def __init__(self, hparams, device='cuda'):
super(LightningModel, self).__init__()
self.hparams = hparams
self.model_type = hparams.model_type.lower()
@staticmethod
def add_model_specific_args(parent_parser):
# add model specific args
parser = argparse.ArgumentParser(parents=[parent_parser], add_help=False)
parser.add_argument('--batch_size',
type=int,
default=16,
help='batch size for training (default: 96)')
parser.add_argument('--lr',
type=float,
default=5e-5,
help='The initial learning rate')
parser.add_argument('--warmup_ratio',
type=float,
default=0.1,
help='warmup ratio')
return parser
def forward(self, inputs):
pass