mycode:
from torchvision.models import vgg16
import time
model = vgg16.cuda()
time.sleep(1000)

it costs only 895MB memory on 1080ti ,while 1369MB memory on 2080ti.
@ptrblck Do you know the reason?
1080ti environments:
pytorch version:1.1
cuda version:9.0
ubuntu version:18.04
2080ti environments:
pytorch version:1.1
cuda version:10.1
ubuntu version:16.04