Spaces:
Runtime error
Runtime error
File size: 1,090 Bytes
0035a82 ceb3f0c 0035a82 |
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 |
import os
import sys
sys.path.append(os.path.split(sys.path[0])[0])
from .unet import UNet3DConditionModel
from torch.optim.lr_scheduler import LambdaLR
def customized_lr_scheduler(optimizer, warmup_steps=5000): # 5000 from u-vit
from torch.optim.lr_scheduler import LambdaLR
def fn(step):
if warmup_steps > 0:
return min(step / warmup_steps, 1)
else:
return 1
return LambdaLR(optimizer, fn)
def get_lr_scheduler(optimizer, name, **kwargs):
if name == 'warmup':
return customized_lr_scheduler(optimizer, **kwargs)
elif name == 'cosine':
from torch.optim.lr_scheduler import CosineAnnealingLR
return CosineAnnealingLR(optimizer, **kwargs)
else:
raise NotImplementedError(name)
def get_models(args):
if 'TAV' in args.model:
pretrained_model_path = args.pretrained_model_path
return UNet3DConditionModel.from_pretrained_2d(pretrained_model_path, subfolder="unet", use_concat=args.use_mask)
else:
raise '{} Model Not Supported!'.format(args.model)
|