.to(device)与.cuda()的区别

.to(device) 可以指定CPU 或者GPU

device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") # 单GPU或者CPU
model.to(device)
#如果是多GPU
if torch.cuda.device_count() > 1:
  model = nn.DataParallel(model，device_ids=[0,1,2])
model.to(device)

.cuda() 只能指定GPU

#指定某个GPU
os.environ['CUDA_VISIBLE_DEVICE']='1'
model.cuda()
#如果是多GPU
os.environment['CUDA_VISIBLE_DEVICES'] = '0,1,2,3'
device_ids = [0,1,2,3]
net  = torch.nn.Dataparallel(net, device_ids =device_ids)
net  = torch.nn.Dataparallel(net) # 默认使用所有的device_ids 
net = net.cuda()