Hi, copy.deepcopy(model) works fine for me in previous PyTorch versions, but as I’m migrating to version 0.4.0, it seems to break. It seems to have something to do with torch.device. How should I do cloning properly in version 0.4.0?
The traceback is as follows:
(I run
device = torch.device(‘cuda’)
generator = Generator(args.vocab_size, g_embed_dim, g_hidden_dim, device).to(device)
previously, and when I replace device with string ‘cuda’, it works then)
Traceback (most recent call last):
File “main.py”, line 304, in 
rollout = Rollout(generator, args.update_rate)
File “/home/x-czh/SeqGAN-PyTorch/rollout.py”, line 14, in init
self.own_model = copy.deepcopy(model)
File “/usr/lib/python3.5/copy.py”, line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File “/usr/lib/python3.5/copy.py”, line 297, in _reconstruct
state = deepcopy(state, memo)
File “/usr/lib/python3.5/copy.py”, line 155, in deepcopy
y = copier(x, memo)
File “/usr/lib/python3.5/copy.py”, line 243, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File “/usr/lib/python3.5/copy.py”, line 182, in deepcopy
y = _reconstruct(x, rv, 1, memo)
File “/usr/lib/python3.5/copy.py”, line 292, in _reconstruct
y = callable(*args)
File “/usr/lib/python3.5/copyreg.py”, line 88, in newobj
return cls.new(cls, *args)
TypeError: Device() received an invalid combination of arguments - got (), but expected one of:

(torch.device device)
(str type, int index)