from __future__ import print_function, division
import torch
import torchvision.models as models
from data_processing import Flatten
import config
model = models.resnet18()

f078ed1ca2269445f65811e91592ba26c0de5bf4
<mask token>

<mask token>
model = models.resnet18()

from __future__ import print_function, division
import torch
import torchvision.models as models
from data_processing import Flatten
import config
model = models.resnet18()
